{"meta":{"query_hash":"7c331eece904","filters":{"topic":"Advanced MIMO Systems Optimization"},"cohort_total":2319,"direct_labels_cover":1,"predictions_cover":2319,"exported":2319,"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/7c331eece904","api":"https://metacan.xera.ac/api/v1/cohort?topic=Advanced+MIMO+Systems+Optimization"},"results":[{"id":"W1010397913","doi":"10.1109/vtcfall.2015.7391002","title":"Joint Optimal Number of RF Chains and Power Allocation for Downlink Massive MIMO Systems","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Telecommunications link; MIMO; Base station; Computer science; Power (physics); Mathematical optimization; Radio frequency; Iterative method; Control theory (sociology); Computer network; Algorithm; Mathematics; Telecommunications; Channel (broadcasting); Physics","score_opus":0.02011318116741902,"score_gpt":0.25871238708307087,"score_spread":0.23859920591565184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1010397913","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":[0.008252316,0.00072640146,0.9823437,0.000045488592,0.00134047,0.0017536535,0.0001577367,0.00027771477,0.005102516],"genre_scores_gemma":[0.9054061,0.00010680772,0.09240377,0.0000060244006,0.00019482773,0.0003591014,0.0003070928,0.00011079227,0.001105467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863285,0.000022113838,0.00063191156,0.00033963082,0.00015300154,0.00022048186],"domain_scores_gemma":[0.99870914,0.00004234092,0.00023610686,0.00041009276,0.00049866334,0.00010365841],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026690753,0.00031341807,0.0005518017,0.00011135442,0.000020468045,0.000044755903,0.0001195322,0.00040505352,0.000017856823],"category_scores_gemma":[0.00006798026,0.00031044296,0.000078377896,0.0000660061,0.00003177539,0.000121677986,0.00012972829,0.00019366258,0.000011192849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010129728,0.000013078325,0.00002275593,0.0012919875,0.000107656924,6.036198e-7,0.00043868308,0.9912806,0.0009966184,0.0044134012,0.0013229162,0.00010153985],"study_design_scores_gemma":[0.00048319242,0.00003378054,0.000015681431,0.00044845985,0.00005808322,0.000012792109,0.0006580733,0.9949921,0.0019737233,0.00037784575,0.00049677497,0.00044952452],"about_ca_topic_score_codex":0.000054309727,"about_ca_topic_score_gemma":0.0000065146064,"teacher_disagreement_score":0.8971538,"about_ca_system_score_codex":0.00021478481,"about_ca_system_score_gemma":0.00005910582,"threshold_uncertainty_score":0.9999348},"labels":[],"label_agreement":null},{"id":"W1044779268","doi":"10.1007/s11036-015-0639-7","title":"Editorial for “SON and Automatic Configuration/Optimization in LTE-A Networks: Challenges and Practical Solutions”","year":2015,"lang":"en","type":"article","venue":"Mobile Networks and Applications","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":"Carleton University; Concordia University","funders":"","keywords":"Computer science; Macrocell; EnodeB; Femtocell; Power control; Telecommunications link; Stackelberg competition; User equipment; Transmitter power output; Quality of service; Computer network; Base station; Power (physics); Transmitter","score_opus":0.019867076965724255,"score_gpt":0.2598587124986021,"score_spread":0.23999163553287783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1044779268","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":[0.00010842276,0.00878422,0.9880184,0.00008196963,0.001234683,0.0013694804,0.0000057601737,0.00015229055,0.00024478784],"genre_scores_gemma":[0.90292466,0.024254603,0.036386274,0.000044989803,0.023635855,0.012267808,0.00031420076,0.00012171714,0.00004989226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992548,0.000026089334,0.00025247346,0.00021259229,0.0000620692,0.00019193962],"domain_scores_gemma":[0.99942124,0.00020154545,0.000056467048,0.00012511066,0.0000873665,0.00010824261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002494012,0.00012807404,0.00016731417,0.000053194824,0.000102161954,0.000056651857,0.000025915542,0.00015797818,0.000001412883],"category_scores_gemma":[0.000033703745,0.0001370572,0.000010936366,0.0001174783,0.00004865786,0.00025728822,0.000020929165,0.00010877086,4.0959782e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004808269,0.000018002049,0.000012761853,0.0000389817,0.000007037892,7.5712165e-8,0.00006648876,0.98002255,0.0000028193338,0.0033215694,0.0023228668,0.0141820265],"study_design_scores_gemma":[0.0005394716,0.00003887851,0.000039261344,0.000029389572,0.00001897284,0.000006454296,0.0002117351,0.97893316,0.0000010857385,0.00039008068,0.019655615,0.000135883],"about_ca_topic_score_codex":0.0000032530877,"about_ca_topic_score_gemma":0.000031412026,"teacher_disagreement_score":0.9516321,"about_ca_system_score_codex":0.000043336287,"about_ca_system_score_gemma":0.000015299922,"threshold_uncertainty_score":0.55890304},"labels":[],"label_agreement":null},{"id":"W113546518","doi":"10.1007/978-3-642-27635-4_7","title":"Receiver Design for MIMO Wireless Communications","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","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":"University of Calgary","funders":"","keywords":"MIMO; Spatial multiplexing; 3G MIMO; Testbed; Transceiver; Multi-user MIMO; Electronic engineering; MIMO-OFDM; Computer science; Wireless; Multiplexing; Interference (communication); Engineering; Telecommunications; Channel (broadcasting); Computer network","score_opus":0.019174702819722538,"score_gpt":0.22730694208645924,"score_spread":0.2081322392667367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W113546518","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":[0.0000020212235,0.013317272,0.9816312,0.000032351174,0.00034186157,0.0009607997,0.00001812577,0.0005748244,0.003121527],"genre_scores_gemma":[0.29840904,0.007657218,0.6853586,0.00011669258,0.0017035762,0.0010450336,0.00053072965,0.0016536879,0.0035254199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984922,0.000013809102,0.00049184734,0.00028806875,0.0001386347,0.00057547085],"domain_scores_gemma":[0.99794734,0.0010960752,0.00007680069,0.0006950487,0.00007393174,0.00011082576],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016495294,0.0005172454,0.0005683032,0.0004068383,0.000049803424,0.000025014577,0.0004377168,0.0007395331,0.000022608625],"category_scores_gemma":[0.00019042843,0.00058827066,0.00013494445,0.00019671199,0.000024474572,0.00012296437,0.000043719778,0.0009702171,0.000020393822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008631596,0.000008451609,0.0000014777962,0.00014651348,0.000063928026,0.0000015888422,0.00006793747,0.95466244,0.001341405,0.005609952,0.00007016051,0.038017515],"study_design_scores_gemma":[0.00031017032,0.00003878941,0.000001795844,0.00025947863,0.00006306972,0.0000135145865,1.8752493e-7,0.97028065,0.0019881267,0.002359492,0.023953607,0.0007311051],"about_ca_topic_score_codex":0.0000024347175,"about_ca_topic_score_gemma":0.000008203163,"teacher_disagreement_score":0.29840702,"about_ca_system_score_codex":0.0006211933,"about_ca_system_score_gemma":0.000028632136,"threshold_uncertainty_score":0.99965686},"labels":[],"label_agreement":null},{"id":"W116408913","doi":"10.1007/978-0-387-68832-9_7","title":"Link Adaptation in OFDM-Based Cognitive Radio Systems","year":2007,"lang":"en","type":"book-chapter","venue":"","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 British Columbia","funders":"","keywords":"Cognitive radio; Adaptation (eye); Orthogonal frequency-division multiplexing; Computer science; Electronic engineering; Telecommunications; Psychology; Engineering; Wireless; Neuroscience; Channel (broadcasting)","score_opus":0.027727192964686235,"score_gpt":0.23134092720008154,"score_spread":0.2036137342353953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W116408913","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000016673404,0.0010553154,0.5910519,0.0000030757144,0.0004186415,0.00056342944,0.000021849419,0.00031985674,0.4065643],"genre_scores_gemma":[0.34979314,0.0006889688,0.030891553,0.00013139188,0.0021501596,0.00028689794,0.0024855551,0.0012710212,0.6123013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987262,0.000010843938,0.00058182655,0.0002667768,0.00019064773,0.00022372245],"domain_scores_gemma":[0.999336,0.00015730009,0.0001178044,0.00018398154,0.00013938831,0.00006549965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016920135,0.0003487397,0.00041345583,0.00050386257,0.0000189755,0.000025680836,0.00007753892,0.0005147048,0.00009527472],"category_scores_gemma":[0.00002229457,0.0003922639,0.000065653134,0.000066694935,0.00002322628,0.000121503086,0.00000768195,0.0003410864,0.0001787698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000132325695,0.000003176553,0.0000022561933,0.0002871358,0.000036235673,0.00002973112,0.00008120644,0.9749942,0.000011898682,0.01738183,0.0000734472,0.007085692],"study_design_scores_gemma":[0.00072823215,0.00003982433,0.000005034402,0.0019071086,0.000044581662,0.00000861289,0.00011931206,0.9884845,0.00010805735,0.0003328594,0.007532629,0.00068925804],"about_ca_topic_score_codex":0.00003816644,"about_ca_topic_score_gemma":0.00017878409,"teacher_disagreement_score":0.56016034,"about_ca_system_score_codex":0.0003839357,"about_ca_system_score_gemma":0.00003945302,"threshold_uncertainty_score":0.9998529},"labels":[],"label_agreement":null},{"id":"W118806481","doi":"10.5555/2499986.2499999","title":"DEVS-based modeling of coordinated multipoint techniques for LTE-advanced","year":2013,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Carleton University","funders":"","keywords":"DEVS; Computer science; Cellular network; Scheduling (production processes); Computer network; Quality of service; Distributed computing; Mobile telephony; Mobile edge computing; Base station; Computer architecture; Mobile radio; Modeling and simulation; Server; Engineering; Simulation","score_opus":0.018102901778491186,"score_gpt":0.24537767566698238,"score_spread":0.22727477388849118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W118806481","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":[0.0016126243,0.002326571,0.9936196,0.0001488913,0.000087206514,0.000885191,0.000005323189,0.00034250107,0.00097207964],"genre_scores_gemma":[0.8091998,0.0008267665,0.18934093,0.000015312939,0.000024542447,0.0004978431,0.00004542944,0.00003350753,0.000015852142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993595,0.000024950437,0.0003193138,0.000106642714,0.00003452885,0.00015509142],"domain_scores_gemma":[0.99891835,0.00015272979,0.00007390226,0.00063929113,0.00017882079,0.000036880236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011336646,0.00011832225,0.00017748518,0.00007826925,0.00013490742,0.0000247391,0.00024232118,0.000071241906,0.0000013919381],"category_scores_gemma":[0.0000075803578,0.00012625773,0.000035986628,0.0001552293,0.000046300152,0.0001486306,0.00006044613,0.00008751674,6.869085e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005601708,0.000023555582,0.00010336247,0.00010562879,0.000020051632,2.38346e-8,0.000117133844,0.9310426,0.03419638,0.00037860824,0.000056962213,0.03395011],"study_design_scores_gemma":[0.00024819007,0.000027841217,0.0000024232509,0.00019057571,0.000012670352,6.7244616e-7,0.000038881033,0.99331295,0.0039645014,0.0002567179,0.0018116282,0.000132935],"about_ca_topic_score_codex":0.00002374596,"about_ca_topic_score_gemma":0.000012557994,"teacher_disagreement_score":0.8075872,"about_ca_system_score_codex":0.000038525828,"about_ca_system_score_gemma":0.000008909078,"threshold_uncertainty_score":0.5148641},"labels":[],"label_agreement":null},{"id":"W1230326749","doi":"10.1016/j.comcom.2015.08.013","title":"Handover-related self-optimization in femtocells: A survey and an interaction study","year":2015,"lang":"en","type":"article","venue":"Computer 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":"Queen's University; University of Waterloo","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche; Ministry of Higher Education and Scientific Research; Ministry of Education, Libya","keywords":"Femtocell; Handover; Computer science; Self-organizing network; Computer network; Optimization problem; MATLAB; Base station; Algorithm","score_opus":0.053987245070856095,"score_gpt":0.30087304709437435,"score_spread":0.24688580202351826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1230326749","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":[0.10268257,0.0004165387,0.89407,0.000035260324,0.00037879913,0.0008555303,0.000006035889,0.0006618998,0.00089331414],"genre_scores_gemma":[0.92004013,0.0000829718,0.07961897,0.000008435131,0.000018383093,0.000047754846,0.00014646119,0.000027179207,0.0000097356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899787,0.00035945218,0.00032111086,0.0001485775,0.000066147135,0.00010685942],"domain_scores_gemma":[0.9988247,0.000117217984,0.000056096742,0.0008017195,0.00012320385,0.00007704317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040536534,0.00011660274,0.00015049752,0.0001650951,0.000063020416,0.00006998682,0.00028691633,0.00005639596,0.0000022524262],"category_scores_gemma":[0.000024030189,0.00013559776,0.000010137901,0.000371138,0.000019642112,0.000556327,0.00014702995,0.00017106762,0.000008455429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043497507,0.00020951657,0.015700119,0.0000052963683,0.000018518698,4.6381547e-7,0.003861819,0.97883177,0.000003860366,0.000032537537,0.000084907784,0.001246817],"study_design_scores_gemma":[0.00084972096,0.000075538075,0.007852622,0.000017044193,0.0000070042397,0.000004731014,0.0003610676,0.9905486,0.0000025352074,0.00003204901,0.00011740498,0.00013164444],"about_ca_topic_score_codex":0.00013449539,"about_ca_topic_score_gemma":0.00090044324,"teacher_disagreement_score":0.81735754,"about_ca_system_score_codex":0.00013918379,"about_ca_system_score_gemma":0.000016031552,"threshold_uncertainty_score":0.55295163},"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":"W140285628","doi":"","title":"Low Cost Cellular Networks with OpenBTS","year":2010,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.006672469523006076,"score_gpt":0.1999111074870998,"score_spread":0.19323863796409374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W140285628","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":[0.0184725,0.0001512223,0.96284145,0.00011212753,0.00038337742,0.0015906728,0.000005409154,0.000520227,0.01592301],"genre_scores_gemma":[0.9909555,0.000011303183,0.0027778763,0.00021167193,0.00056207174,0.00023423237,0.0000746076,0.00027134345,0.0049014105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983881,0.000058280366,0.00035306648,0.00040167902,0.00024958546,0.0005492788],"domain_scores_gemma":[0.9983017,0.0001065424,0.00013483081,0.0011194367,0.00018920406,0.00014829314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033960305,0.0003830944,0.00036969106,0.000079130354,0.00035631823,0.00048301485,0.0013748897,0.0001996306,0.00013476938],"category_scores_gemma":[0.000023191442,0.00028143544,0.000042038973,0.0009427853,0.00015395727,0.0003822533,0.00032821068,0.00047949483,0.000109031724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044961103,0.00002439008,0.00026752512,0.000039487728,0.000030777665,0.000013847123,0.00022606718,0.98451805,0.0017554828,0.00004238714,0.002050001,0.010987045],"study_design_scores_gemma":[0.0010502331,0.0000145128915,0.00058539334,0.00014361858,0.000040705076,0.000089740184,0.00024101985,0.4472626,0.0009446212,0.00000851521,0.5489898,0.00062931346],"about_ca_topic_score_codex":0.00010879285,"about_ca_topic_score_gemma":0.00038458355,"teacher_disagreement_score":0.972483,"about_ca_system_score_codex":0.00005442866,"about_ca_system_score_gemma":0.000031928204,"threshold_uncertainty_score":0.99996376},"labels":[],"label_agreement":null},{"id":"W1417226415","doi":"10.48550/arxiv.1504.03777","title":"Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Baseband; Precoding; MIMO; Singular value decomposition; Matrix decomposition; QR decomposition; Convex optimization; Matrix (chemical analysis); Computer science; Orthogonal matrix; Mathematical optimization; Signal processing; Algorithm; Control theory (sociology); Topology (electrical circuits); Mathematics; Regular polygon; Telecommunications; Physics; Eigenvalues and eigenvectors","score_opus":0.03389359703916214,"score_gpt":0.20853610666664588,"score_spread":0.17464250962748373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1417226415","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":[0.06906262,0.00063211686,0.92654514,0.0000062931495,0.0011271273,0.0012458514,0.00011079542,0.0007459341,0.00052410364],"genre_scores_gemma":[0.9872307,0.000048188016,0.011421271,0.0000037558198,0.00025565413,0.00001960124,0.00032089578,0.00012933242,0.00057060225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839187,0.000056866866,0.00035436952,0.0006939448,0.00007711635,0.0004258604],"domain_scores_gemma":[0.9985074,0.000050182065,0.00028926085,0.00049454725,0.00046310463,0.00019550267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018353658,0.000450627,0.00051178783,0.00021571056,0.00017161178,0.0001689645,0.00039304598,0.00033339026,0.0000053365675],"category_scores_gemma":[0.000020008705,0.000584427,0.00015988255,0.00024426664,0.0000613824,0.00045432214,0.00019438817,0.00038110482,0.000037730726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058125137,0.000020706799,0.0000764611,0.0011263217,0.00008862826,0.000057704914,0.00010721899,0.9971696,0.00017497405,0.0004110317,0.00056202715,0.0001471846],"study_design_scores_gemma":[0.0006843662,0.000039214206,0.000006010224,0.00038070063,0.00016995838,0.000018427298,0.00014921564,0.9964277,0.0002444644,0.0009213004,0.0003711091,0.00058750977],"about_ca_topic_score_codex":0.00003939659,"about_ca_topic_score_gemma":0.0000049531795,"teacher_disagreement_score":0.91816807,"about_ca_system_score_codex":0.00092819304,"about_ca_system_score_gemma":0.00014513337,"threshold_uncertainty_score":0.99966073},"labels":[],"label_agreement":null},{"id":"W142227658","doi":"10.5555/2048370.2048384","title":"A correlation model for shadow fading in multi-hop wireless networks","year":2011,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ellipse; Shadow mapping; Fading; Wireless network; Computer science; Wireless; Intersection (aeronautics); Algorithm; Shadow (psychology); Correlation coefficient; Log-distance path loss model; Computational complexity theory; Mathematics; Telecommunications; Artificial intelligence; Geometry; Engineering; Machine learning; Decoding methods","score_opus":0.031229034780787035,"score_gpt":0.26181986183538797,"score_spread":0.23059082705460093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W142227658","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":[0.009153357,0.0000440274,0.98894787,0.000004689312,0.0003328628,0.00065398123,0.000019995501,0.00029084936,0.0005523974],"genre_scores_gemma":[0.98857814,0.000012122001,0.010884745,0.00002046793,0.000063984524,0.00009562791,0.00006233566,0.00006368804,0.00021889945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990448,0.000019239302,0.00038884656,0.00021074007,0.00007810313,0.00025832313],"domain_scores_gemma":[0.99949443,0.00008687477,0.00007496777,0.00015225814,0.00013869998,0.00005277313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014012122,0.0001674112,0.0001790375,0.00014743228,0.000059179984,0.000015980952,0.00008248693,0.00017486658,0.000005799243],"category_scores_gemma":[0.000019488481,0.00019564002,0.00004727315,0.00021948021,0.000011774868,0.0007012793,0.000015261094,0.00010624796,0.0000076060905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028703585,0.000022063643,0.001472709,0.000025460171,0.000008207495,4.7055218e-7,0.0037923753,0.9933103,0.00030005496,0.00026682112,0.0000186529,0.00075419084],"study_design_scores_gemma":[0.0008026326,0.00001650233,0.0003778361,0.00004201569,0.000009535531,5.3928676e-7,0.00013346926,0.9982044,0.0000885889,0.000083091414,0.000024077284,0.00021727651],"about_ca_topic_score_codex":0.000019507457,"about_ca_topic_score_gemma":0.000053090298,"teacher_disagreement_score":0.9794248,"about_ca_system_score_codex":0.00012719008,"about_ca_system_score_gemma":0.000008832111,"threshold_uncertainty_score":0.7977969},"labels":[],"label_agreement":null},{"id":"W1423052447","doi":"10.1109/tcomm.2015.2502954","title":"Hybrid Block Diagonalization for Massive Multiuser MIMO Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":382,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; MIMO; Baseband; Electronic engineering; Telecommunications link; Rayleigh fading; Computer science; Block (permutation group theory); Antenna (radio); Fading; Channel (broadcasting); Multi-user MIMO; Telecommunications; Engineering; Mathematics; Bandwidth (computing)","score_opus":0.04356902100349175,"score_gpt":0.27359293536154305,"score_spread":0.2300239143580513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1423052447","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":[0.00038277262,0.0005545967,0.99482775,0.00018031232,0.0009053568,0.0010161868,0.00023601507,0.00063942943,0.0012575607],"genre_scores_gemma":[0.9740732,0.00028465185,0.023384742,0.00002539022,0.000053612694,0.0013084845,0.00010558747,0.00008550296,0.0006788727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902475,0.00007871757,0.00038103055,0.00017237946,0.00013402043,0.00020910626],"domain_scores_gemma":[0.99805105,0.00026150738,0.000073047006,0.0011403922,0.00033838034,0.0001356395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014976677,0.00018835471,0.00019438769,0.0001800026,0.0002521712,0.000055415017,0.00041417798,0.00008528208,0.0000049461],"category_scores_gemma":[0.000016930999,0.00021459302,0.00008103043,0.00023511931,0.000054695054,0.00029532996,0.0000024996812,0.00018103521,0.000070224334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009158542,0.00008016432,0.000002614912,0.0000344976,0.00005409255,2.1822348e-7,0.00027825133,0.9961811,0.00037699883,0.00047993063,0.0015897284,0.0009132883],"study_design_scores_gemma":[0.0008002147,0.000046842906,0.000002469272,0.00006915371,0.00006006192,0.000010332631,0.00030181263,0.97237325,0.0040006205,0.00015911464,0.021911237,0.0002648778],"about_ca_topic_score_codex":0.000030536175,"about_ca_topic_score_gemma":0.00005623685,"teacher_disagreement_score":0.9736904,"about_ca_system_score_codex":0.00026903546,"about_ca_system_score_gemma":0.00004496061,"threshold_uncertainty_score":0.87508494},"labels":[],"label_agreement":null},{"id":"W1486524747","doi":"10.1109/ccece.2015.7129166","title":"Optimization of control parameters using averaging of handover indicator and received power for minimizing ping-pong handover in LTE","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Handover; Computer science; Power (physics); Control theory (sociology); Degradation (telecommunications); Transceiver; Power control; Real-time computing; Term (time); SIGNAL (programming language); Control (management); Computer network; Wireless; Telecommunications; Artificial intelligence","score_opus":0.0207289928367532,"score_gpt":0.23796965806734321,"score_spread":0.21724066523059002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1486524747","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":[0.18365218,0.00021146235,0.8153028,0.0000057149887,0.00013308352,0.00046781544,0.000008874355,0.000037995098,0.00018006825],"genre_scores_gemma":[0.8217868,0.000012983023,0.17811973,0.0000118244425,0.000008557131,0.000014857639,0.000005673858,0.000031073236,0.000008481607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990761,0.000030699248,0.00045793413,0.00015455118,0.000103587074,0.00017709592],"domain_scores_gemma":[0.9994167,0.00014127762,0.00016401046,0.000121023026,0.00009667837,0.000060299404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027745284,0.00013480432,0.0003455727,0.00023944596,0.000016927263,0.000014286713,0.000053624077,0.00008397709,0.0000059035756],"category_scores_gemma":[0.00018006866,0.00013999254,0.000034919554,0.00016095686,0.0000329088,0.00033855738,0.000014401007,0.00005311487,2.1245246e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009162407,0.000010477742,0.003568232,0.000088436114,0.000032831616,3.693326e-7,0.00076395646,0.9913781,0.00391899,0.000025187484,0.000014329398,0.00010742234],"study_design_scores_gemma":[0.0041596214,0.000033310538,0.000090227666,0.00015397533,0.000024512048,0.0000023159557,0.0003341983,0.98643064,0.00858475,0.000030541487,0.000009410712,0.0001464696],"about_ca_topic_score_codex":0.000035982648,"about_ca_topic_score_gemma":0.0000074633645,"teacher_disagreement_score":0.63813466,"about_ca_system_score_codex":0.000096513206,"about_ca_system_score_gemma":0.00002355608,"threshold_uncertainty_score":0.570873},"labels":[],"label_agreement":null},{"id":"W1489643322","doi":"10.1002/9781119954729.ch3","title":"Models of MIMO Channels","year":2011,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Toeplitz matrix; Mathematics; Bivariate analysis; MIMO; von Mises distribution; Covariance matrix; Covariance; Applied mathematics; Orthogonality; Measure (data warehouse); Simplex; Wishart distribution; Mathematical analysis; Algorithm; von Mises yield criterion; Computer science; Statistics; Pure mathematics; Geometry; Multivariate statistics; Physics","score_opus":0.018410248844612648,"score_gpt":0.20515356986846525,"score_spread":0.1867433210238526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489643322","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[7.858929e-8,0.00049516046,0.47327664,1.8225026e-7,0.00026167548,0.00008929159,0.000006788611,0.00032664594,0.5255435],"genre_scores_gemma":[0.0024799532,0.0002419893,0.029114015,0.0000028475195,0.00013214289,0.000017173681,0.000015546202,0.0006489143,0.96734744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996491,0.0000033331212,0.00012876152,0.00008549596,0.000042195436,0.00009110867],"domain_scores_gemma":[0.99971354,0.000002961081,0.000043083026,0.00020588469,0.000012104611,0.000022419186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001497262,0.00012720116,0.00020089025,0.00012826036,0.00000220876,0.0000016480942,0.00008190684,0.00017154959,0.0021084282],"category_scores_gemma":[0.000001001917,0.00012299685,0.000029853669,0.00005209729,0.000008699247,0.00003572244,0.000010083653,0.000043269254,0.00009593589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.1201183e-7,0.0000062108516,5.152943e-7,0.00038363936,0.000062203035,6.7267706e-7,0.000093299386,0.5589711,0.00005750574,0.004561616,0.43541446,0.00044817108],"study_design_scores_gemma":[0.0005664352,0.000036675825,2.6862858e-7,0.0011478496,0.000062140345,0.000005639518,0.00005768188,0.7029307,0.004766253,0.0031734775,0.28606024,0.001192686],"about_ca_topic_score_codex":0.00006771808,"about_ca_topic_score_gemma":0.000017679442,"teacher_disagreement_score":0.44416264,"about_ca_system_score_codex":0.000011086909,"about_ca_system_score_gemma":0.0000033411761,"threshold_uncertainty_score":0.9988038},"labels":[],"label_agreement":null},{"id":"W1492749807","doi":"10.1109/cwit.2015.7255162","title":"Spatial stream scheduling in uplink multiuser MIMO systems with zero-forcing post-processing","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"King Saud University; Saudi Arabian Cultural Bureau","keywords":"Telecommunications link; Computer science; MIMO; Base station; Scheduling (production processes); Mathematical optimization; Singular value decomposition; Algorithm; Real-time computing; Mathematics; Computer network","score_opus":0.014324612215664754,"score_gpt":0.22423153144009933,"score_spread":0.20990691922443458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1492749807","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":[0.115373045,0.00039152385,0.880908,0.000012305184,0.00030168766,0.00033173902,0.0000019061789,0.00053035805,0.0021494147],"genre_scores_gemma":[0.9385509,0.000003910939,0.06104901,0.000011940094,0.00010870894,0.000033377622,0.000019988724,0.000081766746,0.00014042905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883276,0.00001847238,0.00037015387,0.00023991425,0.0001688552,0.00036982968],"domain_scores_gemma":[0.9993668,0.000025361318,0.00006467454,0.00020729241,0.00019563214,0.00014021504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019267309,0.00022337864,0.0002640384,0.0001757096,0.000039646275,0.00008793953,0.00010931065,0.000114944196,0.0000040008777],"category_scores_gemma":[0.000050627023,0.00019583266,0.000018496483,0.0002760425,0.000016102224,0.0005690877,0.000023939014,0.0001766984,0.00002465187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017580945,0.00001051061,0.003838132,0.00014416839,0.000009423342,0.0000101212,0.0005702339,0.9926,0.00078593113,0.000036674737,0.000011096435,0.0019661242],"study_design_scores_gemma":[0.0010019238,0.000038131613,0.00011134437,0.00038105168,0.000008089207,0.000017835335,0.0014656467,0.9955425,0.0011099982,0.000007098858,0.000036699847,0.000279632],"about_ca_topic_score_codex":0.000874925,"about_ca_topic_score_gemma":0.00049745484,"teacher_disagreement_score":0.8231778,"about_ca_system_score_codex":0.0002533485,"about_ca_system_score_gemma":0.00006025952,"threshold_uncertainty_score":0.7985824},"labels":[],"label_agreement":null},{"id":"W1495155214","doi":"10.1109/acssc.1999.832380","title":"Two dimensional beamforming: an optimal solution for joint multiple array transmit and receive problem","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fading; Beamforming; Transmitter; Computer science; Transmission (telecommunications); Channel (broadcasting); Impulse (physics); Channel state information; Impulse response; Electronic engineering; Telecommunications; Wireless; Engineering; Mathematics; Physics","score_opus":0.016739300951406254,"score_gpt":0.22795691902698342,"score_spread":0.21121761807557718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1495155214","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":[0.012947478,0.0001423221,0.9842582,0.000017162072,0.00012584038,0.0006448663,0.000009468273,0.00023899211,0.0016156831],"genre_scores_gemma":[0.40332967,0.000006185714,0.5963651,0.000010258829,0.000026458702,0.00007966609,0.000028351946,0.000030257735,0.00012407245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992821,0.000014761778,0.00022286945,0.00019077047,0.0000670302,0.00022244157],"domain_scores_gemma":[0.999692,0.000034558183,0.00002834174,0.000103347724,0.000057653357,0.0000840835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014418032,0.00013893741,0.00014310479,0.000055232635,0.000088166475,0.00001797223,0.000028221706,0.000059220867,0.000019195708],"category_scores_gemma":[0.000022852291,0.00013382026,0.000031353324,0.00006409442,0.000017732102,0.0003815774,0.000002781245,0.0000612234,0.0000026219736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000123527325,0.00001838725,0.000033515193,0.000050029455,0.0000147815,2.774985e-7,0.00026516506,0.92442036,0.073000416,0.0006627953,0.000061296145,0.0014605973],"study_design_scores_gemma":[0.001540446,0.00009284238,0.0000134404845,0.000029238618,0.0000144217365,0.000024758076,0.00010950701,0.92034936,0.075977184,0.00036752978,0.0012324938,0.00024879447],"about_ca_topic_score_codex":0.000007736124,"about_ca_topic_score_gemma":0.000035878875,"teacher_disagreement_score":0.3903822,"about_ca_system_score_codex":0.000057715362,"about_ca_system_score_gemma":0.000012219988,"threshold_uncertainty_score":0.5457032},"labels":[],"label_agreement":null},{"id":"W1496075383","doi":"","title":"On the Need for Coordination Among Base Stations in a Heterogeneous Network","year":2012,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Base (topology); Base station; Computer network; Mathematics","score_opus":0.017401714102725372,"score_gpt":0.23616743962149608,"score_spread":0.21876572551877072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1496075383","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":[0.016587116,0.00013719672,0.97865933,0.00009321738,0.0008573146,0.0018548628,0.00003569658,0.00026526072,0.0015099776],"genre_scores_gemma":[0.9868841,0.000011837408,0.0111194635,0.00004208819,0.00020174599,0.0012211949,0.00021073228,0.00006837048,0.00024045123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915975,0.000042688705,0.00029758364,0.000169054,0.00007717044,0.0002537407],"domain_scores_gemma":[0.9991782,0.00032900673,0.000077233526,0.0003165026,0.0000605751,0.000038539092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024141461,0.00019397955,0.00018053282,0.000094018906,0.000052435495,0.000038151073,0.00012286099,0.00017140152,0.000041843698],"category_scores_gemma":[0.000079666934,0.00016208147,0.0000614947,0.0001314055,0.0000126669975,0.00007966357,0.000046359604,0.0002287885,0.0000097614075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046853597,0.000010335641,0.0001531971,0.000070551105,0.000020717933,2.9395773e-7,0.00015041734,0.9941922,0.000017268334,0.00331029,0.0017771727,0.00029287642],"study_design_scores_gemma":[0.00019100132,0.000008324289,0.00016730935,0.00011998715,0.000014861242,5.2921223e-7,0.000045136818,0.99523985,0.00014272894,0.0037468926,0.00012592423,0.00019746626],"about_ca_topic_score_codex":0.000035290846,"about_ca_topic_score_gemma":0.00032033742,"teacher_disagreement_score":0.970297,"about_ca_system_score_codex":0.00020520616,"about_ca_system_score_gemma":0.000012835705,"threshold_uncertainty_score":0.6609491},"labels":[],"label_agreement":null},{"id":"W1500167156","doi":"10.1109/icc.2015.7248760","title":"Stochastic geometry analysis of error probability in interference limited wireless networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stochastic geometry; Poisson point process; Computer science; Coverage probability; Interference (communication); Node (physics); Poisson distribution; Transmitter; Wireless network; Signal-to-interference-plus-noise ratio; Range (aeronautics); Algorithm; Antenna (radio); Point process; Stochastic geometry models of wireless networks; Stochastic process; Signal-to-noise ratio (imaging); Topology (electrical circuits); Wireless; Mathematics; Power (physics); Telecommunications; Statistics; Radio resource management; Channel (broadcasting); Engineering","score_opus":0.03447411723729114,"score_gpt":0.2568348852364103,"score_spread":0.22236076799911916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500167156","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":[0.26018527,0.000056738736,0.73908013,0.0000032613882,0.00007992376,0.00013892728,0.0000022592876,0.00009654969,0.00035691657],"genre_scores_gemma":[0.99648434,0.0000018473654,0.003421594,0.000003072548,0.000009710664,0.000019045003,0.000018807228,0.000012614132,0.00002897281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999249,0.00002664877,0.00034849346,0.00014572586,0.00007942368,0.00015074588],"domain_scores_gemma":[0.99947685,0.00006261491,0.000046781213,0.00024694734,0.00010495161,0.000061855186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001996382,0.000101935446,0.00030478515,0.00039451724,0.0000048959528,0.0000065635263,0.00010820631,0.00007351517,0.000020824487],"category_scores_gemma":[0.00009495535,0.00009827416,0.00004011793,0.0020373305,0.000022943183,0.00012223808,0.000028541768,0.00009639186,0.0000020882972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009536598,0.000019887508,0.0043166494,0.000021411799,0.00007973785,3.3030295e-7,0.0001703585,0.9946545,0.000054450637,0.00012222573,0.000012082611,0.00053887145],"study_design_scores_gemma":[0.00016721107,0.000017099817,0.0024809428,0.00002533358,0.000056183348,2.7418795e-7,0.00013316843,0.9969093,0.0000631496,0.000051264797,6.1352586e-7,0.00009544043],"about_ca_topic_score_codex":0.00006520273,"about_ca_topic_score_gemma":0.0005840632,"teacher_disagreement_score":0.73629904,"about_ca_system_score_codex":0.00013523159,"about_ca_system_score_gemma":0.000010911159,"threshold_uncertainty_score":0.4007504},"labels":[],"label_agreement":null},{"id":"W1500793726","doi":"10.1109/wimob.2005.1512841","title":"MMSE-based MIMO precoder using partial channel information","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Precoding; Transmitter; Channel (broadcasting); Minimum mean square error; Computer science; Antenna (radio); Transmitter power output; Multi-user MIMO; Mathematics; Algorithm; Topology (electrical circuits); Telecommunications; Statistics","score_opus":0.00944014964725347,"score_gpt":0.2023992975270448,"score_spread":0.19295914787979132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1500793726","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":[0.005810596,0.000025608719,0.98405296,0.000012005298,0.0002815794,0.00017352529,0.0000043694868,0.0004784565,0.009160916],"genre_scores_gemma":[0.96840465,7.998973e-7,0.031226333,0.000029556666,0.00012664976,0.000016666436,0.000059295984,0.000019424591,0.000116647694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994949,0.000006631427,0.00022163797,0.000054563636,0.00007043789,0.00015182418],"domain_scores_gemma":[0.9997904,0.000009835162,0.000031320233,0.000104573395,0.00004045832,0.000023446875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043071268,0.00009147551,0.000078706864,0.00007795985,0.00003605022,0.000031683827,0.000037816546,0.00005753779,0.000045720262],"category_scores_gemma":[0.00000618057,0.00009405877,0.000022918019,0.00011752048,0.0000073937154,0.0006595541,0.000004967708,0.000039513478,0.0000549686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020246403,0.0000037695759,0.000047912425,0.000029962366,0.0000025191293,1.5311761e-7,0.00002467735,0.99825734,0.0007402798,0.00012279584,0.00051224156,0.00025634337],"study_design_scores_gemma":[0.0002565339,0.0000044820945,0.000037298512,0.000013148168,0.0000044467533,0.0000013451029,0.000015475867,0.98331094,0.014370282,0.000054954966,0.0018128824,0.00011822813],"about_ca_topic_score_codex":0.0000677804,"about_ca_topic_score_gemma":0.000019524632,"teacher_disagreement_score":0.96259403,"about_ca_system_score_codex":0.000071722185,"about_ca_system_score_gemma":0.000009811137,"threshold_uncertainty_score":0.38356054},"labels":[],"label_agreement":null},{"id":"W1501160899","doi":"10.1049/iet-map.2009.0499","title":"User effect analysis on polarisation in multi-input multi-output systems","year":2010,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Blackberry (Canada)","funders":"","keywords":"MIMO; Antenna (radio); Channel (broadcasting); Dipole antenna; Physics; Channel capacity; Computer science; Head (geology); Dipole; Electronic engineering; Acoustics; Optics; Telecommunications; Engineering; Geology","score_opus":0.010049267633815862,"score_gpt":0.24024922973430285,"score_spread":0.230199962100487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1501160899","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":[0.45535657,0.00014851807,0.54237145,0.000017623079,0.00077615096,0.000930281,0.000023647699,0.0003108409,0.00006490251],"genre_scores_gemma":[0.9896965,0.000027416203,0.009343776,0.000016189635,0.00011212693,0.00010257416,0.00026586282,0.00008371335,0.00035183693],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822915,0.00013608347,0.00061191124,0.00044654374,0.00019890585,0.0003774365],"domain_scores_gemma":[0.999057,0.00008430374,0.00017671564,0.00046047592,0.00013785111,0.00008367834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005118697,0.00034776036,0.00045186208,0.0007474721,0.00008764667,0.00013066122,0.00017049068,0.0002869839,0.000007781438],"category_scores_gemma":[0.00013437904,0.00033393997,0.00013562979,0.0010182104,0.000038159713,0.00048302714,0.000023078692,0.00046050284,0.00009014245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030437928,0.000097280164,0.01979305,0.0001557568,0.00013800322,0.00000722023,0.00046113023,0.30343732,0.67443097,0.00006697645,0.000027060365,0.001354789],"study_design_scores_gemma":[0.0013114251,0.00008934525,0.039355982,0.0001287599,0.00013398966,0.000009646039,0.00009881924,0.9101785,0.048080917,0.000002628346,0.00017149762,0.00043853812],"about_ca_topic_score_codex":0.00021225544,"about_ca_topic_score_gemma":0.00080078037,"teacher_disagreement_score":0.62635005,"about_ca_system_score_codex":0.00019538408,"about_ca_system_score_gemma":0.000017566357,"threshold_uncertainty_score":0.99991125},"labels":[],"label_agreement":null},{"id":"W1502089055","doi":"10.1109/infocom.2015.7218398","title":"Radio resource allocation in heterogeneous wireless networks: A spatial-temporal perspective","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Throughput; Resource allocation; Stochastic geometry; Randomness; Wireless network; Resource management (computing); Mathematical optimization; Telecommunications link; Wireless; Base station; Computer network; Mathematics; Telecommunications","score_opus":0.012023466502630711,"score_gpt":0.22328942939013632,"score_spread":0.2112659628875056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502089055","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":[0.018616987,0.0005623292,0.9746224,0.000043521006,0.00019605657,0.00030046812,8.8482005e-7,0.00039339878,0.00526394],"genre_scores_gemma":[0.99691105,0.000013665472,0.002639021,0.000018126802,0.00014292485,0.000035623656,0.00002051736,0.00004365757,0.00017541125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992789,0.000040851934,0.0002153346,0.00017364178,0.00009719317,0.00019409321],"domain_scores_gemma":[0.9996066,0.000018588016,0.000031082385,0.00018498501,0.00007391739,0.00008483945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013172414,0.00012942302,0.00015571358,0.00009361057,0.000015489879,0.000020498832,0.00008388881,0.00008335599,0.000008124134],"category_scores_gemma":[0.000022515005,0.00013833003,0.00002251184,0.00022213825,0.000014969462,0.00014189132,0.000016198648,0.00009691206,0.00001638519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011969524,0.000010547949,0.00059650844,0.000006055419,0.000008932718,0.0000075026314,0.0008574426,0.99689806,0.000048495516,0.00025722847,0.00032129983,0.0009759828],"study_design_scores_gemma":[0.00045272717,0.000025801897,0.00005501406,0.000022750126,0.000003169819,0.00001565501,0.00092067255,0.9973949,0.00040881554,0.00009206697,0.0004419947,0.00016643672],"about_ca_topic_score_codex":0.0007353341,"about_ca_topic_score_gemma":0.0016751993,"teacher_disagreement_score":0.9782941,"about_ca_system_score_codex":0.0005099452,"about_ca_system_score_gemma":0.00001780203,"threshold_uncertainty_score":0.5640935},"labels":[],"label_agreement":null},{"id":"W1502147982","doi":"10.1109/ccece.2015.7129418","title":"Downlink cell association for large-scale MIMO HetNets employing small cell wireless backhaul","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Base station; Heterogeneous network; Wireless; MIMO; Telecommunications link; Wireless network; Telecommunications; Channel (broadcasting)","score_opus":0.015453940884441086,"score_gpt":0.21995013978791064,"score_spread":0.20449619890346957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502147982","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":[0.03574771,0.00023872567,0.9351378,0.000038252547,0.00088928273,0.00068092684,0.000044192573,0.0007522803,0.02647081],"genre_scores_gemma":[0.89087117,0.000034798883,0.09421017,0.00007221195,0.00035167453,0.00013497019,0.00017413837,0.00014256855,0.014008281],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987725,0.000027068321,0.00034848752,0.00024290438,0.0001555795,0.0004534793],"domain_scores_gemma":[0.99919206,0.000094976975,0.00010587275,0.00023155137,0.00022375691,0.00015179302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003640889,0.00020496685,0.00024721594,0.00007690689,0.00006368295,0.00005213028,0.00013545556,0.00021161513,0.000018365728],"category_scores_gemma":[0.00003333222,0.0002195271,0.00007470704,0.00016537117,0.0000035058717,0.00023852194,0.00003001554,0.00012422037,0.0001353906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019739065,0.00012191423,0.0047482084,0.0004379666,0.00003590847,0.0000020746256,0.0018134539,0.95346344,0.014957885,0.00015024442,0.023603752,0.0006454079],"study_design_scores_gemma":[0.0031703669,0.0000785705,0.00006623248,0.000042986536,0.00004868308,0.0000017681127,0.0010256319,0.8828461,0.08418818,0.00019217207,0.027652718,0.0006866026],"about_ca_topic_score_codex":0.000015667743,"about_ca_topic_score_gemma":0.00015347856,"teacher_disagreement_score":0.85512346,"about_ca_system_score_codex":0.0004326754,"about_ca_system_score_gemma":0.000027785478,"threshold_uncertainty_score":0.8952055},"labels":[],"label_agreement":null},{"id":"W1502961854","doi":"10.1109/pacrim.2003.1235825","title":"Throughput maximization and optimal number of active users on the two transmit antenna downlink of a cellular system","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Throughput; Telecommunications link; Maximization; Computer science; Computer network; Telecommunications; Mathematical optimization; Wireless; Mathematics","score_opus":0.008052892400356915,"score_gpt":0.21371206993623684,"score_spread":0.20565917753587992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1502961854","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":[0.1795343,0.00004892094,0.8156521,0.000027979184,0.00005985215,0.00033031247,0.000013630034,0.00009723581,0.004235692],"genre_scores_gemma":[0.98449373,0.000033007425,0.015378475,0.000006502035,0.000015853368,0.000010425034,0.000007175505,0.000028119866,0.000026736836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993457,0.00002243453,0.0002721586,0.00012732878,0.00011394482,0.00011840902],"domain_scores_gemma":[0.99960256,0.000045254208,0.000073862204,0.00018375259,0.00006896662,0.000025587986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076339675,0.00012980856,0.00020418511,0.0000399548,0.000026327698,0.0000070047504,0.00007312024,0.000058154474,0.000017836828],"category_scores_gemma":[0.000008432475,0.00009565271,0.000040950512,0.00017640217,0.00004458638,0.00015944782,0.000008315911,0.000073616444,0.0000054391476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026601774,0.000016597152,0.000059548078,0.00019579957,0.00005075591,0.0000013449164,0.0008904859,0.9618536,0.017708866,0.019023715,0.0000027714366,0.00016987944],"study_design_scores_gemma":[0.0027716095,0.00011106784,0.00019296027,0.0007399889,0.00009452602,0.000032566466,0.0049027405,0.62954116,0.36088115,0.00031044066,0.000029714774,0.00039207406],"about_ca_topic_score_codex":0.000049881386,"about_ca_topic_score_gemma":0.000006936446,"teacher_disagreement_score":0.8049594,"about_ca_system_score_codex":0.0000734737,"about_ca_system_score_gemma":0.000010346157,"threshold_uncertainty_score":0.3900604},"labels":[],"label_agreement":null},{"id":"W1504342394","doi":"10.1109/icc.2015.7249176","title":"Modeling virtualized downlink cellular networks with ultra-dense small cells","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdullah University of Science and Technology","keywords":"Cellular network; Stochastic geometry; Telecommunications link; Computer science; Computer network; Radio access network; Spectral efficiency; Virtualization; Signal-to-interference-plus-noise ratio; Throughput; Distributed computing; Base station; Wireless; Telecommunications; Mobile station; Physics; Operating system","score_opus":0.01687522693294994,"score_gpt":0.19268423828012096,"score_spread":0.17580901134717103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504342394","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":[0.012922014,0.00034339793,0.9780768,0.000006696281,0.000328437,0.00026227586,0.0000016775567,0.0008004197,0.0072582765],"genre_scores_gemma":[0.9183351,0.000038786853,0.080637075,0.000032891017,0.0001552664,0.000020672258,0.000024600698,0.00008566541,0.0006699713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909264,0.0000252109,0.0002666334,0.00020412971,0.000118022086,0.00029334985],"domain_scores_gemma":[0.9993691,0.000022633363,0.000025903726,0.00029493496,0.00011085263,0.00017660363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014985411,0.00020744793,0.00022010227,0.00006025197,0.00003104149,0.000038588994,0.000114048795,0.00011483859,0.00001962585],"category_scores_gemma":[0.000009086927,0.00017663682,0.000031853226,0.00018202468,0.000013478314,0.00016119434,0.000010924435,0.00014727349,0.0000540807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019109626,0.000007265154,0.0000065938316,0.000014885882,0.000020549931,0.0000087635535,0.00019223303,0.9942089,0.005105214,0.0001058736,0.00015307603,0.00015758752],"study_design_scores_gemma":[0.0007573874,0.000032108204,6.8809825e-8,0.0000305518,0.000016815522,0.000006605332,0.00022676257,0.98774385,0.010686954,0.000030018906,0.00020434374,0.0002645451],"about_ca_topic_score_codex":0.000039223007,"about_ca_topic_score_gemma":0.00004363895,"teacher_disagreement_score":0.90541303,"about_ca_system_score_codex":0.00008310582,"about_ca_system_score_gemma":0.00001681468,"threshold_uncertainty_score":0.7203041},"labels":[],"label_agreement":null},{"id":"W1504348028","doi":"10.1002/wcm.2339","title":"Resource allocation with interference mitigation in femtocellular networks","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Femtocell; Computer science; Benchmark (surveying); Software deployment; Telecommunications link; Computer network; Interference (communication); Resource allocation; Cellular network; Scheme (mathematics); Wireless ad hoc network; Frequency allocation; Telecommunications; Wireless; Base station","score_opus":0.011059052939119863,"score_gpt":0.2255531001782468,"score_spread":0.21449404723912696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504348028","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":[0.29056486,0.0031425827,0.7050884,0.000018528022,0.00003757937,0.00029467625,6.1960236e-7,0.00014777717,0.00070499966],"genre_scores_gemma":[0.98779994,0.00033780266,0.011644032,0.000011011033,0.00003774306,0.00007680226,0.000057829173,0.000025862497,0.000008969136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993543,0.00006612028,0.00023805072,0.00010031292,0.000044900793,0.00019633865],"domain_scores_gemma":[0.9992545,0.000108229215,0.00006130804,0.0004861644,0.000037803486,0.00005198571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021377353,0.00010956455,0.00012428808,0.00007860039,0.000119735894,0.000030421823,0.00018939616,0.000056260655,0.0000012049512],"category_scores_gemma":[0.00000458132,0.00011358423,0.0000103028715,0.00025167665,0.000056737532,0.00021877667,0.00010168531,0.00018397805,0.0000015389853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030372557,0.00003756177,0.012821372,0.000042210984,0.000009900099,1.6091644e-7,0.0021403013,0.9190825,0.00071703235,0.0015542521,0.000010858973,0.06358082],"study_design_scores_gemma":[0.0001776839,0.00001672553,0.001182238,0.00020014029,0.000005293829,0.000007527112,0.00071425736,0.99659425,0.00019147193,0.000006293789,0.000765591,0.00013853132],"about_ca_topic_score_codex":0.000014053266,"about_ca_topic_score_gemma":0.00002549481,"teacher_disagreement_score":0.69723505,"about_ca_system_score_codex":0.00006553415,"about_ca_system_score_gemma":0.0000054162574,"threshold_uncertainty_score":0.46318305},"labels":[],"label_agreement":null},{"id":"W1505120259","doi":"10.1109/wcncw.2015.7122585","title":"A distributed load balancing algorithm for LTE/LTE-A heterogeneous networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Load balancing (electrical power); LTE Advanced; Distributed computing; Computer network; Distributed algorithm; Telecommunications link; Geology","score_opus":0.011614106311648626,"score_gpt":0.22304079021248902,"score_spread":0.21142668390084038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505120259","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":[0.00027359137,0.0005382748,0.99674076,0.000010400043,0.00067417446,0.00037052706,0.000041898315,0.00069982087,0.0006505477],"genre_scores_gemma":[0.66154367,0.000044042263,0.33625653,0.00007818652,0.0007073599,0.00022689723,0.00041194673,0.00014778708,0.00058359635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919087,0.000009726635,0.0002287339,0.00016244983,0.00010091988,0.00030731535],"domain_scores_gemma":[0.99944836,0.000038708393,0.000030666928,0.0001940006,0.00014948632,0.0001387807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012183474,0.0001548002,0.0001831925,0.000027549582,0.00003427146,0.000032303265,0.00009047561,0.00009506872,0.00000863333],"category_scores_gemma":[0.000039516643,0.00015434307,0.000047589576,0.00014013468,0.000008790609,0.00013447512,0.000020699516,0.00006512528,0.000017647706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043934474,0.0000056682134,0.000019493535,0.000012360576,0.000021192582,0.0000030321446,0.000035972404,0.9863569,0.00004184601,0.00002117248,0.0028628127,0.010615125],"study_design_scores_gemma":[0.0005764602,0.000029966805,0.000002341426,0.000016381882,0.0000102119875,0.000020474334,0.000039034636,0.9937728,0.0007300257,0.00006216258,0.004550994,0.00018912305],"about_ca_topic_score_codex":0.000018717565,"about_ca_topic_score_gemma":0.000036243204,"teacher_disagreement_score":0.66127,"about_ca_system_score_codex":0.00029444703,"about_ca_system_score_gemma":0.000020418633,"threshold_uncertainty_score":0.62939274},"labels":[],"label_agreement":null},{"id":"W1506314009","doi":"10.1109/ccece.2015.7129167","title":"Leaky feeder, a new linear array transceiver for micro/pico cells","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Transmitter; Transceiver; Phase-shift keying; Bit error rate; Electronic engineering; Physics; Transmission (telecommunications); Antenna (radio); Keying; Electrical engineering; Topology (electrical circuits); Computer science; Telecommunications; Channel (broadcasting); Acoustics; Wireless; Engineering","score_opus":0.023359362690180636,"score_gpt":0.23395797688612407,"score_spread":0.21059861419594345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1506314009","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":[0.00080939644,0.0002618532,0.98975515,0.00006474019,0.0005586962,0.00037492486,0.000007614531,0.00041014858,0.007757496],"genre_scores_gemma":[0.19571728,0.000045427165,0.7692235,0.0001545459,0.0008025992,0.000054267748,0.000042589323,0.0001702754,0.033789504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942553,0.0000053767217,0.00017356896,0.00013445006,0.0000617473,0.00019930763],"domain_scores_gemma":[0.99961543,0.000021152848,0.0000168274,0.00014896141,0.000056912588,0.00014069337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055492575,0.00012906989,0.00014546927,0.00004402873,0.000019741472,0.000016965907,0.00008547655,0.00007942401,0.000039232866],"category_scores_gemma":[0.000010231963,0.00012584924,0.000052478168,0.00008731982,0.000008117572,0.0001628477,0.0000026983225,0.00005480945,0.00012787366],"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":[0.000015465643,0.00001113646,0.000009011445,0.000057235102,0.00002500312,5.729462e-7,0.0007508324,0.74835646,0.21580945,0.00010627806,0.033714753,0.0011438295],"study_design_scores_gemma":[0.0025869894,0.000081319755,0.0000032545233,0.00003553051,0.000030263847,0.000006205971,0.00038250204,0.10924506,0.7020705,0.00028452312,0.18481658,0.0004572848],"about_ca_topic_score_codex":0.000027818494,"about_ca_topic_score_gemma":0.00003138302,"teacher_disagreement_score":0.6391114,"about_ca_system_score_codex":0.000057738533,"about_ca_system_score_gemma":0.00002779752,"threshold_uncertainty_score":0.5131983},"labels":[],"label_agreement":null},{"id":"W1512173866","doi":"10.1109/icc.2015.7249557","title":"Robust transceiver optimization for underlay device-to-device communications","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macrocell; Underlay; Transceiver; Computer science; Interference (communication); Benchmark (surveying); Computer network; Constraint (computer-aided design); Signal-to-noise ratio (imaging); Cognitive radio; Channel (broadcasting); Electronic engineering; Telecommunications; Base station; Wireless; Engineering","score_opus":0.1005098849260983,"score_gpt":0.28639697650937535,"score_spread":0.18588709158327704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1512173866","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":[0.000102584585,0.00018771604,0.9818049,0.00035640658,0.0001827811,0.00073229143,0.000013498051,0.00057549844,0.016044334],"genre_scores_gemma":[0.24949647,0.00003335818,0.7492895,0.00016124907,0.00005877178,0.00019113485,0.00012281655,0.000066276196,0.0005804216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993322,0.000021268912,0.00024219071,0.0001397541,0.0000831097,0.00018151476],"domain_scores_gemma":[0.99903667,0.00007127619,0.000025612833,0.0004959272,0.00023059684,0.00013991797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013765704,0.00013011055,0.00013991269,0.00009454167,0.00006863788,0.00003335888,0.00026538162,0.00007483621,0.000029008806],"category_scores_gemma":[0.000045691126,0.00013881217,0.000034688284,0.00029670596,0.000015013705,0.00030765845,0.000018880777,0.00005959142,0.000051351402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044985472,0.000012285683,0.000014643717,0.000030498819,0.000015544285,6.7818696e-8,0.00041067172,0.9954608,0.00012000846,0.0010250881,0.0022847736,0.0006210975],"study_design_scores_gemma":[0.00048335863,0.000024088751,0.000005976897,0.000022770719,0.000019554489,0.0000016797919,0.00041368822,0.9873584,0.00032534316,0.000056881574,0.011103097,0.00018519476],"about_ca_topic_score_codex":0.000015701222,"about_ca_topic_score_gemma":0.00015533235,"teacher_disagreement_score":0.2493939,"about_ca_system_score_codex":0.0001516163,"about_ca_system_score_gemma":0.00002463799,"threshold_uncertainty_score":0.5660596},"labels":[],"label_agreement":null},{"id":"W1517101989","doi":"10.1109/icosp.2004.1442090","title":"MIMO capacity of multipath-clustered channels using fourier transform techniques","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multipath propagation; MIMO; Spatial correlation; Fading; Fourier transform; Cluster (spacecraft); Envelope (radar); Channel (broadcasting); Physics; Mathematics; Computer science; Telecommunications; Mathematical analysis; Computer network","score_opus":0.024102342311770143,"score_gpt":0.24262915949644087,"score_spread":0.21852681718467074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1517101989","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":[0.03665167,0.00005686951,0.9574495,0.000018897763,0.00010912173,0.00033973428,0.000008423859,0.00046045196,0.004905325],"genre_scores_gemma":[0.6640686,0.000011685106,0.3356799,0.000008850471,0.00008211841,0.000011255778,0.000002218139,0.00002736878,0.000108038825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933356,0.000008918485,0.00029066644,0.000106417196,0.00008480501,0.00017560313],"domain_scores_gemma":[0.9996861,0.000013489298,0.000034513243,0.00016755427,0.00005582257,0.000042488544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008638409,0.00012930509,0.0001845025,0.00009392323,0.000025137524,0.000007605114,0.00007444824,0.00009720092,0.000046080677],"category_scores_gemma":[0.00000881537,0.00012745599,0.000047590383,0.000120912686,0.000021529837,0.0003286231,0.000007621917,0.000069760674,0.00000384441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006052112,0.000024227505,0.000027895107,0.00015022863,0.000025572692,5.852046e-7,0.0010214223,0.86046773,0.11381553,0.0001227947,0.000073485666,0.02426445],"study_design_scores_gemma":[0.00014075759,0.0000089318555,0.0000020070493,0.000038470927,0.0000060930515,0.00000505396,0.000036705176,0.5994227,0.399414,0.00003205831,0.00078300614,0.00011022468],"about_ca_topic_score_codex":0.000040283332,"about_ca_topic_score_gemma":0.00004635241,"teacher_disagreement_score":0.6274169,"about_ca_system_score_codex":0.00009552523,"about_ca_system_score_gemma":0.0000054630636,"threshold_uncertainty_score":0.5197504},"labels":[],"label_agreement":null},{"id":"W1518331407","doi":"10.1109/infocom.2015.7218400","title":"Performance analysis for two-tier cellular systems based on probabilistic distance models","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Cellular network; Telecommunications link; Femtocell; Macro; Stochastic geometry; Interference (communication); Coverage probability; Path loss; Probabilistic logic; Femto-; Base station; Computer network; Reuse; Resource allocation; Distributed computing; Telecommunications; Wireless; Engineering; Mathematics; Statistics","score_opus":0.023059275181879224,"score_gpt":0.21843501216621045,"score_spread":0.19537573698433122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518331407","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":[0.0037702923,0.00013864499,0.9860178,0.000005589399,0.00029108155,0.00068579416,0.000021805323,0.0003534236,0.008715534],"genre_scores_gemma":[0.9840457,0.0000014863092,0.014570654,0.000009203837,0.00006706654,0.0002921784,0.00007119518,0.000043616223,0.0008989382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990805,0.000017633396,0.0002803072,0.00022084104,0.0001691747,0.0002315382],"domain_scores_gemma":[0.99925894,0.000049627382,0.000046139387,0.0003811297,0.00015944238,0.000104727274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020745424,0.00017044265,0.000269942,0.00014959082,0.000038418402,0.000035232224,0.000112022695,0.000052625044,0.000004515485],"category_scores_gemma":[0.000025909352,0.00015428584,0.00007020989,0.00045775805,0.000013558411,0.0002303811,0.0000060554116,0.000052236937,0.000012152813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016926304,0.0000128168485,0.00018494231,0.00017841409,0.000048832437,3.6960466e-7,0.000052312316,0.99771374,0.000055022432,0.0015397922,0.00014249305,0.00005431037],"study_design_scores_gemma":[0.00048970286,0.000041544652,0.0000034637374,0.000032949032,0.000091893395,1.8351976e-7,0.000035252182,0.99841213,0.00031923217,0.00007003144,0.00030259296,0.0002010174],"about_ca_topic_score_codex":0.000010771013,"about_ca_topic_score_gemma":0.000011659807,"teacher_disagreement_score":0.9802754,"about_ca_system_score_codex":0.0002449749,"about_ca_system_score_gemma":0.000020527803,"threshold_uncertainty_score":0.6291594},"labels":[],"label_agreement":null},{"id":"W1519108428","doi":"10.1109/tcomm.2015.2429127","title":"Successive Interference Mitigation in Multiuser MIMO Channels","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Interference (communication); MIMO; Decoding methods; Set (abstract data type); Computer science; Interference alignment; Sequence (biology); Simple (philosophy); Transmission (telecommunications); Algorithm; Mathematical optimization; Theoretical computer science; Mathematics; Computer network; Telecommunications; Beamforming; Channel (broadcasting)","score_opus":0.04222010473372995,"score_gpt":0.28226395182882735,"score_spread":0.2400438470950974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519108428","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":[0.0035966458,0.0001916459,0.99208546,0.0002619482,0.0005912694,0.00033945977,0.000023961213,0.00033806934,0.00257152],"genre_scores_gemma":[0.9900026,0.00017945953,0.009200808,0.000026672375,0.000016460295,0.00029931826,0.00002160979,0.00003556441,0.00021753972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918795,0.000090161506,0.00031778525,0.00014169296,0.00009327763,0.00016911316],"domain_scores_gemma":[0.9986639,0.00016154101,0.0000439273,0.00090994587,0.00012769185,0.00009302105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121275945,0.00014457403,0.00014518635,0.0002597404,0.00009330623,0.000034197394,0.00044075114,0.00009292414,0.000016007803],"category_scores_gemma":[0.00001778138,0.00016769629,0.000038170903,0.00047621145,0.0000638994,0.00043391273,0.0000032288788,0.00032362374,0.00011064641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066772873,0.00008641161,0.0000203539,0.000010988819,0.000014045693,5.27559e-7,0.0016744694,0.9939518,0.00073701795,0.00014935147,0.00008518386,0.0032632034],"study_design_scores_gemma":[0.0007996712,0.000043186563,0.000033683806,0.00017109816,0.00001535347,0.0000048725938,0.00092125934,0.9836839,0.012979455,0.00039907446,0.00065967045,0.00028876078],"about_ca_topic_score_codex":0.00008098307,"about_ca_topic_score_gemma":0.00081563677,"teacher_disagreement_score":0.9864059,"about_ca_system_score_codex":0.000253131,"about_ca_system_score_gemma":0.000031307267,"threshold_uncertainty_score":0.68384564},"labels":[],"label_agreement":null},{"id":"W1520554042","doi":"10.1109/vetecs.2005.1543281","title":"Random Unitary Beamforming with Partial Feedback for Multi-Antenna Downlink Transmission Using Multiuser Diversity","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Beamforming; Computer science; Telecommunications link; Scheduling (production processes); Diversity gain; Transmission (telecommunications); Wireless; Computer network; Electronic engineering; Mathematical optimization; Telecommunications; MIMO; Mathematics; Engineering","score_opus":0.029530976474703444,"score_gpt":0.24415806088679817,"score_spread":0.21462708441209472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520554042","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":[0.05975158,0.000102458594,0.93892145,0.000019362873,0.00011670383,0.00065139815,0.000011779786,0.00034933773,0.0000759461],"genre_scores_gemma":[0.4610771,0.000016993028,0.5385984,0.000019784768,0.000093346884,0.000010907173,0.00002139222,0.00003588378,0.0001261784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991679,0.000013181891,0.00023364363,0.00018962767,0.00010268421,0.00029293407],"domain_scores_gemma":[0.9996052,0.000042328564,0.000036156263,0.0001410296,0.000075337084,0.00009997097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105699866,0.00019410113,0.00021989584,0.00007602954,0.000253736,0.000016143113,0.00009658509,0.00009125375,0.000031542775],"category_scores_gemma":[0.000008780531,0.00016001602,0.000064446984,0.0001220871,0.000022133363,0.00056619407,0.00002942625,0.000094308365,0.0000061157134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019067741,0.000027483291,0.0004148686,0.000070157446,0.000039204697,0.0000015877839,0.0007247108,0.9848607,0.0087296795,0.0000063648495,0.000021130962,0.004913439],"study_design_scores_gemma":[0.005674239,0.000024757073,0.000024543255,0.00007851556,0.000049988004,0.000007574037,0.00020554049,0.9838836,0.008483091,0.0000015451811,0.0013126442,0.00025394667],"about_ca_topic_score_codex":0.00004584777,"about_ca_topic_score_gemma":0.000074717434,"teacher_disagreement_score":0.40132552,"about_ca_system_score_codex":0.00011152761,"about_ca_system_score_gemma":0.000011374857,"threshold_uncertainty_score":0.6525264},"labels":[],"label_agreement":null},{"id":"W1521729530","doi":"10.1002/9781118749821.ch1","title":"Overview of Multi‐Tier Cellular Wireless Networks","year":2013,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; University of Manitoba","funders":"","keywords":"Femtocell; Computer network; Orthogonal frequency-division multiplexing; Computer science; Cellular network; Telecommunications link; Wireless; Path loss; Bandwidth (computing); Wireless network; Radio resource management; Node (physics); Telecommunications; Channel (broadcasting); Engineering; Base station","score_opus":0.015011147315182065,"score_gpt":0.2223012254078018,"score_spread":0.20729007809261973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1521729530","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000010308124,0.012149854,0.69862694,4.934486e-7,0.00046358345,0.00028949196,0.0000061189585,0.000406558,0.28805596],"genre_scores_gemma":[0.0013116851,0.0029571536,0.021412268,0.000009257422,0.00026147795,0.000041028743,0.00006503981,0.00097483105,0.97296727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937123,0.000012920486,0.00023850203,0.00014071396,0.000071517854,0.00016508595],"domain_scores_gemma":[0.9994994,0.000009179874,0.00009230488,0.00033486582,0.000021511576,0.000042744636],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000027883554,0.00022461858,0.00036683228,0.00009931424,0.000005473264,0.0000068959694,0.00012449211,0.0003323381,0.0031140079],"category_scores_gemma":[0.0000020671375,0.00021065152,0.00005854422,0.000105933825,0.000015887166,0.00003882474,0.000021653876,0.000111263864,0.00014910186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.020872e-7,0.000013743563,0.000013963865,0.0011058487,0.0001182475,0.0000015475742,0.000021198188,0.61216277,0.00021101395,0.00066755275,0.381075,0.004608702],"study_design_scores_gemma":[0.00020530968,0.0000041418934,0.0000011742441,0.00053967035,0.000020886802,5.524914e-7,0.000009785505,0.85202175,0.00026940004,0.0000022137488,0.14662644,0.0002986582],"about_ca_topic_score_codex":0.00011403201,"about_ca_topic_score_gemma":0.000033612912,"teacher_disagreement_score":0.6849113,"about_ca_system_score_codex":0.000027960812,"about_ca_system_score_gemma":0.000004170961,"threshold_uncertainty_score":0.9977973},"labels":[],"label_agreement":null},{"id":"W1523216658","doi":"10.1109/wimob.2005.1512831","title":"Joint precoding and beamforming design for the downlink in a multiuser MIMO system","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Beamforming; MIMO; Transmitter; Telecommunications link; Orthogonal frequency-division multiplexing; Fading; Computer science; Space-division multiple access; MIMO-OFDM; Zero-forcing precoding; Electronic engineering; Bit error rate; Antenna (radio); Minimum mean square error; Channel (broadcasting); Transmitter power output; Control theory (sociology); Telecommunications; Engineering; Mathematics; Statistics","score_opus":0.019113102950641822,"score_gpt":0.2070404566118103,"score_spread":0.18792735366116847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523216658","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":[0.0033440886,0.0004043287,0.9942148,0.000015291043,0.00013567634,0.00086884253,0.0000020287055,0.00022567708,0.0007892956],"genre_scores_gemma":[0.82833046,0.000011282292,0.17122859,0.0000041218414,0.00006590612,0.0001793062,0.0000023009623,0.000025677105,0.00015233645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999443,0.0000107110955,0.0002369894,0.000105878324,0.00003824659,0.00016518195],"domain_scores_gemma":[0.99966985,0.0001656451,0.00002591107,0.00010377154,0.00001932578,0.000015499576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022863105,0.00009585091,0.00011837398,0.000060176568,0.000055062348,0.000028609877,0.00004273564,0.000047200203,0.0000015897524],"category_scores_gemma":[0.000017673496,0.000069556736,0.000019455892,0.00008168566,0.000007372576,0.00014817073,0.000010590793,0.000048333393,0.0000019658705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003059761,0.0000023880561,0.00009927053,0.00014441372,0.000005398354,3.960242e-7,0.00011885253,0.995307,0.0024536992,0.0007113257,0.0000891425,0.0010650137],"study_design_scores_gemma":[0.0003682035,0.000006911653,0.00011552222,0.00009455106,0.000006506297,0.000007014553,0.00032478126,0.9939878,0.004729048,0.00003735511,0.00022432873,0.000097950455],"about_ca_topic_score_codex":0.000074777236,"about_ca_topic_score_gemma":0.0001043754,"teacher_disagreement_score":0.8249864,"about_ca_system_score_codex":0.0000972434,"about_ca_system_score_gemma":0.000003824796,"threshold_uncertainty_score":0.28364414},"labels":[],"label_agreement":null},{"id":"W1524572837","doi":"10.1109/icassp.2015.7178536","title":"Fractional spatial reuse precoding for MIMO downlink networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Telecommunications link; Zero-forcing precoding; MIMO; Computer science; Base station; Subspace topology; Spatial correlation; Reuse; Interference (communication); Channel (broadcasting); Algorithm; Topology (electrical circuits); Mathematics; Computer network; Telecommunications; Engineering; Artificial intelligence","score_opus":0.024299863196625995,"score_gpt":0.24706103202213037,"score_spread":0.22276116882550437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1524572837","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":[0.000353689,0.00009836852,0.9919158,0.0000485544,0.0011904456,0.00027571092,0.0000048964807,0.00040343884,0.005709095],"genre_scores_gemma":[0.8331686,0.000015393822,0.16460034,0.000035997786,0.0010719661,0.00010004374,0.000076467586,0.00004843967,0.00088271004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995034,0.000006688961,0.0001656495,0.000106819425,0.00006298382,0.00015449557],"domain_scores_gemma":[0.999578,0.000060106413,0.000025050866,0.00017877888,0.000082092694,0.000075962875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001036042,0.00008780491,0.00009538801,0.000037807822,0.000030442723,0.000020575608,0.000087056105,0.00007902618,0.000036130048],"category_scores_gemma":[0.00011026193,0.0000886436,0.000028596438,0.000061804,0.000005681124,0.00021720304,0.000018172072,0.00006859547,0.00002113025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010962135,0.000004210279,0.00011089226,0.000009968526,0.00001141187,2.3063446e-7,0.00004367608,0.984553,0.00007073951,0.00021381107,0.01300745,0.001963652],"study_design_scores_gemma":[0.00044711278,0.000017578872,0.0000236707,0.000010607754,0.0000057393218,0.0000033415288,0.000028555276,0.98466283,0.00035867936,0.00031058723,0.014014294,0.000117031836],"about_ca_topic_score_codex":0.00001744372,"about_ca_topic_score_gemma":0.000036273315,"teacher_disagreement_score":0.83281493,"about_ca_system_score_codex":0.00009644964,"about_ca_system_score_gemma":0.000011909692,"threshold_uncertainty_score":0.36147812},"labels":[],"label_agreement":null},{"id":"W1526373655","doi":"10.1002/dac.2338","title":"Dynamic channel selection with reinforcement learning for cognitive WLAN over fiber","year":2012,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Cognitive radio; Reinforcement learning; Computer network; Throughput; Cognitive network; Wireless; Radio resource management; Wireless network; Channel (broadcasting); Wi-Fi; Telecommunications; Artificial intelligence","score_opus":0.012597686340594973,"score_gpt":0.2761848124745014,"score_spread":0.2635871261339064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1526373655","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":[0.01366607,0.001499354,0.9825058,0.00004684606,0.00065090216,0.0003290005,0.000003831865,0.000051585168,0.0012465885],"genre_scores_gemma":[0.9968643,0.00021455147,0.0021664584,0.000010030003,0.00020423671,0.00005386431,0.000049632556,0.000033347373,0.00040358864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989989,0.00006617534,0.00048116987,0.00004834267,0.00027026597,0.00013517767],"domain_scores_gemma":[0.9983567,0.00016853209,0.00044494984,0.00009421796,0.0008786515,0.00005694974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041891928,0.0001095088,0.00016109888,0.00020347466,0.00006411079,0.000057425863,0.00022211169,0.000053623633,0.00002036847],"category_scores_gemma":[0.00005806138,0.00009899501,0.000051151215,0.000095589836,0.000016660615,0.000710405,0.000019743802,0.00018026424,0.00001200367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000843768,0.00002037962,0.0005744458,0.000014946006,0.00025755318,2.3503151e-7,0.0006453961,0.9969404,0.00037430364,0.00030793418,0.00008702076,0.0006930055],"study_design_scores_gemma":[0.001401213,0.00013656681,0.0007550223,0.00074039015,0.00005667784,0.0001935803,0.0011122386,0.98645735,0.00043585576,0.000030136098,0.008468833,0.00021213164],"about_ca_topic_score_codex":0.000008227948,"about_ca_topic_score_gemma":0.0000039335564,"teacher_disagreement_score":0.9831982,"about_ca_system_score_codex":0.00031252037,"about_ca_system_score_gemma":0.000019565348,"threshold_uncertainty_score":0.40368995},"labels":[],"label_agreement":null},{"id":"W1527153795","doi":"10.1002/9781118749821.ch2","title":"Resource Allocation Approaches in Multi‐Tier Networks","year":2013,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; University of Manitoba","funders":"","keywords":"Macrocell; Femtocell; Computer science; Interference (communication); Resource allocation; Radio resource management; Computer network; Context (archaeology); Resource management (computing); Telecommunications; Wireless network; Base station; Wireless; Channel (broadcasting); Geography","score_opus":0.025144742966744574,"score_gpt":0.20923276743745253,"score_spread":0.18408802447070796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527153795","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.4825462e-7,0.000845178,0.5661905,0.000003462311,0.00010681628,0.00031638105,8.442956e-7,0.00045401222,0.4320825],"genre_scores_gemma":[0.0020514575,0.00011401679,0.047451403,0.000013472314,0.00022076975,0.0001589468,0.00014479177,0.0007523813,0.94909275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937093,0.000019111581,0.00019069313,0.00018336196,0.000055301407,0.00018059315],"domain_scores_gemma":[0.9996415,0.000010659666,0.00004640195,0.00026147114,0.0000057455636,0.000034223685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049538343,0.00020065514,0.0001989435,0.0001948902,0.000006564709,0.000016836515,0.00010198579,0.00036877746,0.0004310216],"category_scores_gemma":[0.00000662902,0.00019912637,0.000022311864,0.00014278761,0.000011717215,0.000053646254,0.000015543972,0.00016501518,0.00014140354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.9742435e-7,0.000005884668,0.000022093252,0.000056069748,0.000012300446,2.9888733e-7,0.00003450996,0.8389381,0.0000018300043,0.00018512181,0.15833609,0.0024073832],"study_design_scores_gemma":[0.00015491596,0.0000016698859,0.000010064776,0.00010696779,0.0000035118226,5.751106e-7,0.000048082085,0.85131294,0.000004879131,0.000001550708,0.14815232,0.00020255096],"about_ca_topic_score_codex":0.00009867173,"about_ca_topic_score_gemma":0.00023408585,"teacher_disagreement_score":0.51873904,"about_ca_system_score_codex":0.00007693617,"about_ca_system_score_gemma":0.0000033918152,"threshold_uncertainty_score":0.81201375},"labels":[],"label_agreement":null},{"id":"W1527389525","doi":"10.1109/icwc.1992.200713","title":"The probability of error for optimum detection on the two wave Rayleigh fading channel","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rayleigh fading; Fading; Channel (broadcasting); Detector; Rayleigh scattering; Probability of error; Expression (computer science); Algorithm; Energy (signal processing); Mathematics; Diversity combining; Wireless; Computer science; Topology (electrical circuits); Applied mathematics; Statistics; Telecommunications; Physics; Combinatorics; Optics","score_opus":0.0356109830955587,"score_gpt":0.24661013540930588,"score_spread":0.21099915231374716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1527389525","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":[0.012086216,0.000037250305,0.9799277,0.000050733997,0.0003960918,0.0010538166,0.0000026197283,0.00012616943,0.0063193813],"genre_scores_gemma":[0.9932106,0.000005842752,0.00628273,0.000009360718,0.000033223685,0.00020440697,9.398855e-7,0.000023452252,0.00022944696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941254,0.00003920504,0.00020434911,0.000111297886,0.00006886892,0.00016375144],"domain_scores_gemma":[0.9993081,0.00030472595,0.000046817964,0.00025019958,0.00007141859,0.000018713155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041707692,0.00009849479,0.000096023134,0.000022397448,0.00014743429,0.000014011775,0.000065852866,0.00003795424,0.000007886135],"category_scores_gemma":[0.00023668946,0.00005604953,0.000050933668,0.00012245675,0.000025371213,0.000071142465,0.0000060140633,0.00006962374,0.000002721489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011592253,0.000007908242,0.0000030388692,0.000034426164,0.000016349424,3.7253876e-8,0.00015832459,0.9836014,0.0038216203,0.011129386,0.0000444364,0.0011714968],"study_design_scores_gemma":[0.00030840153,0.000055429027,0.000008560057,0.000019872388,0.00000868382,0.0000023305338,0.0003283177,0.7653939,0.22705938,0.006023296,0.0006848915,0.00010693123],"about_ca_topic_score_codex":0.0000038744474,"about_ca_topic_score_gemma":0.000042216583,"teacher_disagreement_score":0.9811244,"about_ca_system_score_codex":0.000081043836,"about_ca_system_score_gemma":0.0000059642875,"threshold_uncertainty_score":0.22856334},"labels":[],"label_agreement":null},{"id":"W1529380551","doi":"10.1109/jsac.2015.2435358","title":"Analysis of <inline-formula> <tex-math notation=\"LaTeX\">$K$</tex-math></inline-formula>-Tier Uplink Cellular Networks With Ambient RF Energy Harvesting","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic geometry; Computer science; Telecommunications link; Energy harvesting; Cellular network; Queueing theory; Power control; Markov chain; Poisson point process; Energy (signal processing); Poisson distribution; Computer network; Mathematics; Power (physics); Statistics","score_opus":0.020896397374887653,"score_gpt":0.24970872858679832,"score_spread":0.22881233121191066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529380551","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2477004,0.0033422194,0.745228,0.00026706295,0.0005849698,0.0006735091,0.00008046221,0.00050653156,0.0016168857],"genre_scores_gemma":[0.9476913,0.0018460009,0.048463624,0.00008794625,0.00029393693,0.00012619667,0.00086227397,0.00023208935,0.00039661318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99435407,0.00047376862,0.0026234197,0.00058157207,0.0009745914,0.0009925987],"domain_scores_gemma":[0.9920265,0.00077187933,0.0014902615,0.0025292416,0.0025992703,0.00058281753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013268898,0.0008387348,0.0013720741,0.0018211534,0.000631787,0.00026856828,0.0017092563,0.00049746956,0.00001904435],"category_scores_gemma":[0.00053383363,0.0008023267,0.00034815838,0.0061848974,0.00018946326,0.0010979255,0.00019621481,0.0014748501,0.000019432122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008569116,0.00039742354,0.0010878335,0.00003829396,0.0010497451,0.000020772251,0.0009907021,0.9817269,0.008878114,0.0032542525,0.0002688769,0.0022014063],"study_design_scores_gemma":[0.0016944703,0.00023322894,0.0012169726,0.00064397475,0.000753948,0.00010911625,0.00010132562,0.987729,0.0014636301,0.00014948728,0.0050872583,0.0008175474],"about_ca_topic_score_codex":0.0000959483,"about_ca_topic_score_gemma":0.0021772098,"teacher_disagreement_score":0.6999909,"about_ca_system_score_codex":0.0012201074,"about_ca_system_score_gemma":0.00043052578,"threshold_uncertainty_score":0.99944276},"labels":[],"label_agreement":null},{"id":"W1529790017","doi":"10.1109/pimrc.2005.1651832","title":"Efficient Link Layer Transmission Strategy for MIMO Wireless Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"MIMO; Computer science; Spatial multiplexing; Transmission (telecommunications); Transmitter; Frame (networking); Channel state information; Channel (broadcasting); Multiplexing; 3G MIMO; Context (archaeology); Antenna (radio); Wireless; Multi-user MIMO; Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.012945855878667496,"score_gpt":0.22965171841411683,"score_spread":0.21670586253544932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529790017","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":[0.007835241,0.0005873087,0.9828226,0.000018175053,0.00031359115,0.0006100816,0.000009246827,0.00054156216,0.007262194],"genre_scores_gemma":[0.991279,0.000006852957,0.006980102,0.0000029627013,0.00022596883,0.0000910176,0.00003097636,0.000052486306,0.0013306569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992441,0.000009825875,0.00028680035,0.00015218012,0.000085067986,0.00022203951],"domain_scores_gemma":[0.9997007,0.00003582047,0.000025582516,0.0001358564,0.000056664037,0.000045373174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007629624,0.0001389824,0.0001593346,0.00005740922,0.000047579793,0.000034671128,0.00006597209,0.00010109103,0.000013320468],"category_scores_gemma":[0.0000014723913,0.00012342651,0.000046532547,0.000109893364,0.000007277343,0.000044160523,0.0000030731667,0.000051520376,0.000015547865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041159747,0.000011500796,0.0000039642196,0.00019449287,0.0000058571477,6.978496e-7,0.000016566255,0.9736547,0.01794914,0.004576017,0.00047360672,0.0031093308],"study_design_scores_gemma":[0.00029910853,0.00001972812,0.000010302707,0.000053146126,0.000007799522,0.0000033089166,0.00004964551,0.98703504,0.009420631,0.00005780807,0.002878601,0.00016490856],"about_ca_topic_score_codex":0.0000461132,"about_ca_topic_score_gemma":0.0000069170246,"teacher_disagreement_score":0.98344374,"about_ca_system_score_codex":0.00006215289,"about_ca_system_score_gemma":0.000008592659,"threshold_uncertainty_score":0.5033187},"labels":[],"label_agreement":null},{"id":"W1531722533","doi":"10.1109/vtcspring.2015.7145794","title":"Dynamic Traffic Offloading and Transmit Point Muting for Energy and Cost Efficiency in Virtualized Radio Access Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Computer network; Energy consumption; Quality of service; Efficient energy use; Scheduling (production processes); Wireless; Wireless network; Cellular network; Network topology; Real-time computing; Engineering; Telecommunications","score_opus":0.013048673016275191,"score_gpt":0.24799989069409714,"score_spread":0.23495121767782196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531722533","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":[0.07645385,0.0013249206,0.9211647,0.000015525964,0.00015137422,0.00035176933,0.0000020809,0.00018376997,0.00035199473],"genre_scores_gemma":[0.9929154,0.00014016226,0.0067391978,0.00001644272,0.000022153614,0.000059005295,0.000011886049,0.000040027626,0.00005575044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992021,0.000020534142,0.00027387752,0.00019953585,0.00005299054,0.0002509917],"domain_scores_gemma":[0.9996587,0.000105280946,0.000030248071,0.000085295425,0.000025621268,0.00009483545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023256753,0.00014464522,0.00022057112,0.00011656718,0.00003730436,0.000060786213,0.00007406952,0.0000821336,0.0000020858533],"category_scores_gemma":[0.000032337586,0.00014530143,0.000018201796,0.00019115901,0.0000214778,0.00032045698,0.000015669422,0.000056727764,1.1705763e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001607911,0.0000060960174,0.000045164285,0.0000365342,0.000006419359,0.0000011390874,0.000419964,0.98119396,0.00015189507,0.00025254747,0.000024004336,0.01784617],"study_design_scores_gemma":[0.0017083333,0.000025553181,0.00003241659,0.00005659097,0.00000787642,0.000011987445,0.0001940342,0.99752086,0.00009461785,0.000037760106,0.00013401962,0.00017596429],"about_ca_topic_score_codex":0.0000269993,"about_ca_topic_score_gemma":0.00034825574,"teacher_disagreement_score":0.9164615,"about_ca_system_score_codex":0.00010093684,"about_ca_system_score_gemma":0.0000094517645,"threshold_uncertainty_score":0.592522},"labels":[],"label_agreement":null},{"id":"W1536164450","doi":"10.1109/iccw.2015.7247585","title":"Backhaul-aware multicell beamforming for downlink cloud radio access network","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Computer science; Beamforming; Telecommunications link; Computer network; Base station; Radio access network; Scheduling (production processes); Cloud computing; Mobile station; Engineering; Telecommunications","score_opus":0.035183388216629995,"score_gpt":0.2753182347573443,"score_spread":0.2401348465407143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536164450","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":[0.00047341452,0.00027850646,0.9898013,0.000025274487,0.0014695845,0.00061641773,0.000008864556,0.0006619068,0.006664758],"genre_scores_gemma":[0.39441717,0.00006391066,0.59540415,0.0002069569,0.0046157874,0.00033347178,0.00030797996,0.00028202904,0.004368569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990819,0.000010553888,0.00028170078,0.00017552935,0.000094712355,0.00035559063],"domain_scores_gemma":[0.9993813,0.0000855127,0.00004509111,0.00023724159,0.00010277357,0.00014806587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019608704,0.00017061298,0.00020246865,0.000045109497,0.00005567833,0.00006278277,0.00021745599,0.00010343051,0.000021902746],"category_scores_gemma":[0.000040086237,0.0001650675,0.00005041176,0.00018523909,0.00001116159,0.00051243283,0.000043878328,0.000085626685,0.000039377235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000091553875,0.00000507,0.00006846422,0.00006523014,0.000017125683,7.36509e-7,0.00008673235,0.9794591,0.000028513827,0.00024464747,0.018602425,0.0014128067],"study_design_scores_gemma":[0.000786429,0.000016954345,0.0000027993653,0.000035455792,0.000014652571,0.0000032613814,0.00011959274,0.92960316,0.00085704593,0.00019214275,0.068125516,0.00024301585],"about_ca_topic_score_codex":0.000008521181,"about_ca_topic_score_gemma":0.000025861042,"teacher_disagreement_score":0.39439714,"about_ca_system_score_codex":0.000140391,"about_ca_system_score_gemma":0.00001966653,"threshold_uncertainty_score":0.6731257},"labels":[],"label_agreement":null},{"id":"W1544424074","doi":"10.1109/isit.2007.4557189","title":"Diversity-Multiplexing Tradeoff via Asymptotic Analysis of Large MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multiplexing; Asymptote; Diversity gain; Asymptotic analysis; Rayleigh fading; Convergence (economics); MIMO; Channel (broadcasting)","score_opus":0.009816168442419825,"score_gpt":0.22398120995248333,"score_spread":0.2141650415100635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544424074","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":[0.050338484,0.0002236603,0.94523215,0.0000018753124,0.00024054134,0.00015450678,0.000013731839,0.0002798546,0.0035152035],"genre_scores_gemma":[0.9955427,0.000007338944,0.004203084,0.0000049152327,0.000033144537,0.0000017102348,0.00002682554,0.00002017939,0.00016010509],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904644,0.0000152452385,0.00036875086,0.00014095455,0.00015974318,0.00026888197],"domain_scores_gemma":[0.99952245,0.000067639274,0.000065597465,0.00021598893,0.000058183556,0.000070130234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028340527,0.00012499024,0.0003229362,0.00047754002,0.00011492177,0.0000074137583,0.00012050943,0.00008486737,0.000048357655],"category_scores_gemma":[0.000016313761,0.00012965869,0.00011153213,0.0010246827,0.0000115955445,0.00016864725,0.00007193426,0.00006734059,0.000008346544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034025843,0.000018156175,0.011493406,0.0000849767,0.0004089501,0.0000034221355,0.0005893483,0.98309726,0.003247539,0.0008929192,0.000025276919,0.00013534441],"study_design_scores_gemma":[0.00022480477,0.000010223351,0.0053423825,0.000020156542,0.0002952248,0.0000016257436,0.00052432413,0.9913763,0.0019085043,0.000007326956,0.000120135715,0.00016899977],"about_ca_topic_score_codex":0.00009856018,"about_ca_topic_score_gemma":0.00018598665,"teacher_disagreement_score":0.9452042,"about_ca_system_score_codex":0.0001035006,"about_ca_system_score_gemma":0.0000025168295,"threshold_uncertainty_score":0.5287328},"labels":[],"label_agreement":null},{"id":"W1547370922","doi":"10.1109/spawc.2015.7227104","title":"Robust MISO downlink precoder design with per-antenna power constraints","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Base station; Channel state information; Computer science; Transmitter power output; Constraint (computer-aided design); Power (physics); Interference (communication); Antenna (radio); Signal-to-noise ratio (imaging); Mathematical optimization; Outage probability; Channel (broadcasting); Signal-to-interference-plus-noise ratio; Control theory (sociology); Electronic engineering; Transmitter; Wireless; Mathematics; Fading; Telecommunications; Engineering; Physics","score_opus":0.037986931168075506,"score_gpt":0.21373484951714028,"score_spread":0.17574791834906478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1547370922","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":[0.0005201308,0.00012045772,0.9629624,0.000030502606,0.00019515448,0.00031638285,0.000003593643,0.0005370616,0.035314355],"genre_scores_gemma":[0.6402662,0.00000613381,0.35790193,0.00003397379,0.000036126454,0.000023844035,0.000007914613,0.00005283883,0.001671045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928755,0.000022289936,0.00017648865,0.00016756875,0.00011652193,0.00022959213],"domain_scores_gemma":[0.9994646,0.000029305576,0.000025537212,0.00020926834,0.00013293562,0.00013836205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012753738,0.00016236011,0.00015709284,0.00005462669,0.000022390113,0.000030482775,0.000087917455,0.00007599413,0.00036984126],"category_scores_gemma":[0.000026094773,0.00012865744,0.000018772791,0.000104552055,0.000050971936,0.0002390337,0.000010394268,0.000093400675,0.0001893539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014532875,0.00001162891,0.0001425176,0.000012299985,0.000031263982,0.0000058555515,0.00036545124,0.9957471,0.0006025729,0.00010604534,0.0025946551,0.00036609633],"study_design_scores_gemma":[0.0019130665,0.00019907075,0.00006299303,0.000097418626,0.000030755193,0.00017955675,0.0014579896,0.99024796,0.0025918807,0.000104343984,0.0024039592,0.0007110008],"about_ca_topic_score_codex":0.0000045627753,"about_ca_topic_score_gemma":0.000009628133,"teacher_disagreement_score":0.63974607,"about_ca_system_score_codex":0.00007922648,"about_ca_system_score_gemma":0.00003739223,"threshold_uncertainty_score":0.5246498},"labels":[],"label_agreement":null},{"id":"W1548253655","doi":"10.1002/9780470724347.ch10","title":"Practical Issues in MIMO Communications","year":2007,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Computer science; Telecommunications; Channel (broadcasting)","score_opus":0.030142583950984955,"score_gpt":0.3414546265450633,"score_spread":0.31131204259407835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1548253655","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.3255855e-8,0.001413588,0.29363036,0.000082340004,0.000107604166,0.00014851097,0.0000028681502,0.0005301055,0.7040846],"genre_scores_gemma":[0.00012296363,0.0016240807,0.33773243,0.000018961937,0.0000925603,0.000020138532,0.00004639904,0.00035967838,0.6599828],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995604,0.000015766635,0.00016321425,0.00008576822,0.000053444135,0.00012137934],"domain_scores_gemma":[0.9993118,0.000047623304,0.000028154414,0.0005768912,0.000009268262,0.000026252852],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006790199,0.00011553265,0.0001538986,0.0002991751,0.0000065351405,0.000008500582,0.00013806397,0.00021662933,0.0010739604],"category_scores_gemma":[0.000028744777,0.00012230167,0.000015612655,0.00017068081,0.000021692837,0.000044946155,0.000031042393,0.00019210757,0.0004210149],"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":[4.7657252e-7,0.00001956364,0.000029244115,0.00006941584,0.000017875509,0.0000043437194,0.00003999628,0.0029324263,0.000009899141,0.0077970303,0.9884074,0.00067238224],"study_design_scores_gemma":[0.00007770737,0.000002141947,0.0000024536064,0.000104978404,0.000003724705,0.0000031487841,0.00003913012,0.014678647,0.000019046487,0.00002079936,0.98490644,0.0001418049],"about_ca_topic_score_codex":0.00012136143,"about_ca_topic_score_gemma":0.0013438873,"teacher_disagreement_score":0.044102065,"about_ca_system_score_codex":0.000057134184,"about_ca_system_score_gemma":0.000007151476,"threshold_uncertainty_score":0.9998392},"labels":[],"label_agreement":null},{"id":"W1552709880","doi":"10.48550/arxiv.1001.2307","title":"Tranceiver Design using Linear Precoding in a Multiuser MIMO System with Limited Feedback","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; MIMO; Channel state information; Computer science; Quantization (signal processing); Transmitter; Data stream mining; Transceiver; Channel (broadcasting); Overhead (engineering); Control theory (sociology); Algorithm; Telecommunications; Wireless","score_opus":0.06863760164426483,"score_gpt":0.17944299312738474,"score_spread":0.11080539148311991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1552709880","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":[0.31025964,0.000045019613,0.68778193,0.0000011881677,0.00038213326,0.00072544516,0.000014162094,0.00044345905,0.0003470309],"genre_scores_gemma":[0.96236295,0.000055192886,0.037192438,0.0000035601527,0.00009274925,0.0000041732983,0.00001880657,0.00012566523,0.00014449349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983412,0.00010943922,0.00032118388,0.00073139125,0.00006727075,0.00042952527],"domain_scores_gemma":[0.9988241,0.000086950604,0.00018254606,0.00063754915,0.00014054874,0.00012830294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018347101,0.0004772068,0.0005344053,0.00046167994,0.00007735513,0.0000401036,0.00039446334,0.0005998515,0.0000113596725],"category_scores_gemma":[0.00001682214,0.0005524172,0.00009782616,0.0006298449,0.000059337413,0.00036866675,0.000114447445,0.000998371,0.000022150138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009117659,0.000023439774,0.0011944661,0.0006115423,0.00008110545,0.00017959966,0.0003519742,0.9961407,0.0010994051,0.00018217142,0.000004799979,0.000039630115],"study_design_scores_gemma":[0.0010964527,0.000019447962,0.00014688483,0.0012472067,0.00008863978,0.000013091208,0.0002629821,0.9956256,0.00086095504,0.000024540037,0.000015199289,0.00059896515],"about_ca_topic_score_codex":0.00016045714,"about_ca_topic_score_gemma":0.00024940266,"teacher_disagreement_score":0.6521033,"about_ca_system_score_codex":0.0007326967,"about_ca_system_score_gemma":0.000081435326,"threshold_uncertainty_score":0.99969274},"labels":[],"label_agreement":null},{"id":"W1557309526","doi":"10.1109/rws.2006.1615184","title":"Site-specific MIMO channel optimization using adaptive polarization","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Polarization (electrochemistry); Channel (broadcasting); Lambda; Computer science; Topology (electrical circuits); Physics; Ray tracing (physics); Algorithm; Optics; Electronic engineering; Mathematics; Engineering; Telecommunications; Combinatorics","score_opus":0.014742765580796952,"score_gpt":0.2013012029102164,"score_spread":0.18655843732941943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1557309526","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":[0.0027362732,0.00030906376,0.9871466,0.000006549599,0.00032548854,0.00026449622,0.000009780858,0.00066530704,0.008536403],"genre_scores_gemma":[0.76401967,0.000024473928,0.23483205,0.000010837784,0.00025655344,0.000010855548,0.00017116548,0.000079459234,0.0005949251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919057,0.000018629647,0.00027469348,0.00018898463,0.000111221976,0.00021589111],"domain_scores_gemma":[0.99962825,0.0000163813,0.000051569517,0.00016423508,0.000103072816,0.00003649622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053805972,0.0001684205,0.000138113,0.00015207806,0.00008506359,0.0000423599,0.000058353093,0.000106731146,0.0000844598],"category_scores_gemma":[0.000005012898,0.00018740745,0.00003297107,0.00036382605,0.00001507668,0.00038783014,0.00001345772,0.00006934619,0.00003481391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003697008,0.000010265841,0.00008204524,0.0000096512595,0.0000045586376,0.0000010660711,0.000041108327,0.99115515,0.0072814985,0.0010799806,0.00025208108,0.000078897996],"study_design_scores_gemma":[0.0002251354,0.00000940483,0.000052103907,0.000019910642,0.000007065446,0.000005401721,0.000048089423,0.99607676,0.0030368015,0.000099652396,0.000203897,0.00021578009],"about_ca_topic_score_codex":0.000072842304,"about_ca_topic_score_gemma":0.00002233704,"teacher_disagreement_score":0.7612834,"about_ca_system_score_codex":0.0001759592,"about_ca_system_score_gemma":0.000007119507,"threshold_uncertainty_score":0.7642254},"labels":[],"label_agreement":null},{"id":"W1558376104","doi":"10.1109/infocom.2015.7218452","title":"SPIRO: Turning elephants into mice with efficient RF transport","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Science Foundation","keywords":"Computer science; Computer network; Wireless; Wireless network; Bandwidth (computing); Data stream; Latency (audio); Beamforming; Telecommunications","score_opus":0.008508393306032199,"score_gpt":0.20894378364821622,"score_spread":0.20043539034218402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1558376104","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":[0.25195086,0.00012207698,0.7369784,0.000008070838,0.0001480605,0.00013724771,7.097404e-7,0.00041912583,0.010235439],"genre_scores_gemma":[0.96388996,0.0000026622872,0.035647586,0.000013935486,0.00004789417,0.000012098483,0.000008467705,0.000038127357,0.00033926396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941915,0.0000047902513,0.0001506547,0.00012897242,0.00012608136,0.00017032912],"domain_scores_gemma":[0.99968284,0.000008495786,0.000019619856,0.00012861777,0.000056700217,0.00010371398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083157865,0.000119162105,0.00012157268,0.000052876418,0.000020772764,0.000008630041,0.00006878222,0.000041493993,0.000014687847],"category_scores_gemma":[0.000006909542,0.00009798139,0.000014668119,0.00016774442,0.000011623477,0.00010197615,0.0000046282803,0.00006716733,0.000050042683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008016044,0.000007697623,0.00067821774,0.000027389002,0.000009747351,0.0000066172393,0.00080065115,0.9946997,0.0032951545,0.000040398085,0.00008306578,0.00034332662],"study_design_scores_gemma":[0.0018747408,0.00012896486,0.00068863883,0.0001620385,0.000035380483,0.000048595844,0.0012745511,0.9504766,0.040350616,0.00003601229,0.004247045,0.0006768427],"about_ca_topic_score_codex":0.000036469635,"about_ca_topic_score_gemma":0.0000740804,"teacher_disagreement_score":0.7119391,"about_ca_system_score_codex":0.00008709687,"about_ca_system_score_gemma":0.000015577842,"threshold_uncertainty_score":0.39955652},"labels":[],"label_agreement":null},{"id":"W1566257247","doi":"10.1109/jsac.2015.2435391","title":"HetHetNets: Heterogeneous Traffic Distribution in Heterogeneous Wireless Cellular Networks","year":2015,"lang":"en","type":"preprint","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heterogeneous network; Computer science; Poisson distribution; Base station; Wireless network; Spatial correlation; Cellular network; Moment (physics); Spatial heterogeneity; User equipment; Wireless; Computer network; Statistics; Telecommunications; Mathematics","score_opus":0.0258876139237047,"score_gpt":0.2655454055180485,"score_spread":0.2396577915943438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566257247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6433154,0.017159315,0.33284646,0.0002512119,0.0030359752,0.00187289,0.00028449873,0.00086569134,0.00036860065],"genre_scores_gemma":[0.99030435,0.0065924465,0.0012818081,0.000023514278,0.00026266812,0.00019802479,0.0011633968,0.00015997518,0.000013836352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99634963,0.00080902904,0.0014517488,0.00040231558,0.0003435572,0.0006437376],"domain_scores_gemma":[0.99650055,0.00025978943,0.0004729869,0.001994562,0.0005152025,0.00025692],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006622261,0.00059458,0.00077460194,0.00053941377,0.00018660155,0.00018389663,0.0016532668,0.0007639822,0.000008769571],"category_scores_gemma":[0.000108298955,0.00068280945,0.00016581548,0.000996852,0.00009083328,0.00016291943,0.00024010881,0.0039388817,0.000014579559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033005374,0.00022615492,0.00010410819,0.000040603907,0.00007940352,0.000059432114,0.00029005212,0.99584866,0.00015212533,0.000013301137,0.00032366507,0.002829467],"study_design_scores_gemma":[0.00073430187,0.00006388724,0.000048972477,0.0010157767,0.000036974503,0.0003067195,0.000031724852,0.9958327,0.0004188328,0.00026306097,0.0006346222,0.0006124578],"about_ca_topic_score_codex":0.000026224589,"about_ca_topic_score_gemma":0.0008460346,"teacher_disagreement_score":0.34698898,"about_ca_system_score_codex":0.0026927972,"about_ca_system_score_gemma":0.00023484563,"threshold_uncertainty_score":0.9995623},"labels":[],"label_agreement":null},{"id":"W1568299926","doi":"10.1109/ccece.2015.7129416","title":"Zero-forcing assisted spatial stream allocation in uplink multiuser MIMO systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"King Saud University; Saudi Arabian Cultural Bureau","keywords":"Telecommunications link; MIMO; Computer science; Channel (broadcasting); Interference (communication); Channel state information; Diversity gain; Singular value decomposition; Multi-user MIMO; Bit error rate; Precoding; Single antenna interference cancellation; Algorithm; Electronic engineering; Telecommunications; Wireless; Engineering","score_opus":0.02342135589056436,"score_gpt":0.2400261375794733,"score_spread":0.21660478168890895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568299926","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":[0.020636229,0.00018902612,0.9717328,0.00001431875,0.00081309694,0.00043101833,0.0000021031997,0.0005326949,0.0056487187],"genre_scores_gemma":[0.98792815,0.00000671136,0.01128679,0.000006130724,0.00009827943,0.000062165745,0.000050804858,0.000049420018,0.00051155686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990368,0.000029778064,0.00040098035,0.0001792793,0.0001317177,0.00022142968],"domain_scores_gemma":[0.999485,0.000031552503,0.00005043353,0.00023349626,0.000102474245,0.00009705601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019481494,0.00015777345,0.00019677068,0.0001465805,0.000019247263,0.000041590378,0.000090610636,0.0001250292,0.000008612997],"category_scores_gemma":[0.000062227016,0.00015966748,0.000021786547,0.00023014848,0.000008448439,0.00031373295,0.000017634366,0.000104508144,0.000080890735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005274716,0.000015426234,0.0011677882,0.000054700504,0.000009994519,0.000002626253,0.0002196358,0.99347425,0.001854217,0.00025806812,0.00033072077,0.0026072934],"study_design_scores_gemma":[0.0006084291,0.000016688124,0.0005616346,0.00008321337,0.0000057737047,0.0000059656013,0.0003004281,0.99634147,0.0016114196,0.000024944216,0.00024221276,0.00019780404],"about_ca_topic_score_codex":0.0010698233,"about_ca_topic_score_gemma":0.00055375864,"teacher_disagreement_score":0.9672919,"about_ca_system_score_codex":0.00033049705,"about_ca_system_score_gemma":0.000023219114,"threshold_uncertainty_score":0.6511051},"labels":[],"label_agreement":null},{"id":"W1568723784","doi":"10.1002/9781119954729.ch5","title":"Capacity of Communication Channels","year":2011,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Channel capacity; MIMO; Ergodic theory; Channel (broadcasting); Computer science; Mathematics; Statistical physics; Statistics; Telecommunications; Physics; Pure mathematics","score_opus":0.02314902456995696,"score_gpt":0.21418411637149423,"score_spread":0.19103509180153727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1568723784","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011723595,0.00045784746,0.26723212,6.4743875e-7,0.00015124324,0.000114375056,0.000007960554,0.00036374186,0.73167086],"genre_scores_gemma":[0.030428667,0.00078176154,0.07351859,0.000004619996,0.00009191561,0.000033471155,0.00006337829,0.0006945599,0.894383],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99973404,0.000009603978,0.00011623251,0.000051555136,0.00003169191,0.000056878373],"domain_scores_gemma":[0.99955124,0.0000054555926,0.000058575253,0.00035556563,0.000014722988,0.000014465014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000026422134,0.0000895559,0.00014828076,0.00008660918,0.0000040594387,0.0000015891746,0.000112588175,0.00014124927,0.0016423428],"category_scores_gemma":[0.0000029307519,0.00009061403,0.000019874926,0.000048475245,0.00001777209,0.000024339293,0.000012563199,0.000056909244,0.0000779077],"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":[0.0000013065558,0.000025529233,0.000024452604,0.0007721136,0.00015322407,2.151579e-7,0.0005301344,0.047005497,0.0004680794,0.010250131,0.9393305,0.001438789],"study_design_scores_gemma":[0.0007664767,0.000042123695,0.00002075827,0.002079609,0.00008894491,0.000006802261,0.00011006655,0.04939748,0.017875493,0.0014826372,0.926667,0.0014626215],"about_ca_topic_score_codex":0.00018932726,"about_ca_topic_score_gemma":0.00008044214,"teacher_disagreement_score":0.19371355,"about_ca_system_score_codex":0.000015160398,"about_ca_system_score_gemma":0.0000019846113,"threshold_uncertainty_score":0.9992703},"labels":[],"label_agreement":null},{"id":"W1569400750","doi":"10.1017/cbo9781107478732","title":"Wireless Device-to-Device Communications and Networks","year":2015,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":159,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer network; Key (lock); Wireless network; Wireless; Standardization; Physical layer; Radio resource management; Wireless ad hoc network; Distributed computing; Telecommunications; Computer security","score_opus":0.023509191089845977,"score_gpt":0.21314311603799538,"score_spread":0.1896339249481494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569400750","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002571272,0.0013435254,0.085952714,0.0000067804385,0.00023671411,0.00066125917,0.00013824277,0.00051648694,0.91111857],"genre_scores_gemma":[0.0021533011,0.00054559397,0.0020210142,0.000042746986,0.00015148625,0.0000056166123,0.00025357047,0.00012436484,0.9947023],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989995,0.000060152328,0.00021010273,0.0003169431,0.00013635795,0.00027699556],"domain_scores_gemma":[0.9982168,0.00008765369,0.00010228497,0.001057518,0.00024384985,0.00029188365],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000104227955,0.00034866898,0.00041536737,0.00017372258,0.00014905182,0.000047442074,0.00069162913,0.0003814018,3.9446778e-7],"category_scores_gemma":[0.0000065532276,0.00047368713,0.000055361284,0.00003642185,0.00011698529,0.0001369377,0.00054485333,0.00048577745,0.000010663936],"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":[0.00006847967,0.000022883096,0.000010899963,0.0010469569,0.0005700724,0.00011140593,0.00063826813,0.12719482,0.000080957245,0.16656685,0.69278973,0.010898682],"study_design_scores_gemma":[0.00034283986,0.000018423889,0.00000238733,0.00031344657,0.00013087288,0.00001061396,0.000058740516,0.09085499,0.000012747559,0.0000013802453,0.9077765,0.00047706586],"about_ca_topic_score_codex":0.00004327236,"about_ca_topic_score_gemma":0.000020795353,"teacher_disagreement_score":0.21498677,"about_ca_system_score_codex":0.00058422005,"about_ca_system_score_gemma":0.000097463126,"threshold_uncertainty_score":0.9997715},"labels":[],"label_agreement":null},{"id":"W1569987554","doi":"10.1109/glocom.1994.513303","title":"PCS micro-cells insensitive to propagation medium","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Fresnel zone; RADIUS; Attenuation; Antenna (radio); Optics; Radio propagation model; Power (physics); Radio propagation; Diffraction; Point (geometry); Antenna height considerations; Reflection (computer programming); Fresnel zone antenna; Fresnel equations; Physics; Computer science; Fresnel diffraction; Telecommunications; Directional antenna; Geometry; Mathematics; Refractive index","score_opus":0.009440001549255513,"score_gpt":0.1909279708351273,"score_spread":0.1814879692858718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1569987554","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":[0.014238165,0.000051484898,0.9564273,0.00016234569,0.00048478515,0.00043411722,0.00000397529,0.00059719046,0.027600672],"genre_scores_gemma":[0.9509353,0.000020653959,0.045323752,0.00013546854,0.00011816687,0.000021647218,0.0000060506522,0.000037197184,0.0034017295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995433,0.0000090626,0.0001386247,0.00010797446,0.00006677914,0.00013423704],"domain_scores_gemma":[0.9997422,0.000015450247,0.000013152585,0.000116764015,0.00005420121,0.00005825149],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003492556,0.000087924396,0.000083862986,0.0000678291,0.000022454322,0.000013498948,0.00003964999,0.000043625325,0.00012125533],"category_scores_gemma":[0.000015365162,0.00008721642,0.000014416681,0.0001740755,0.0000061611518,0.00012251543,0.000010188371,0.00004676206,0.0008264427],"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":[0.0000015212463,0.000010749311,0.000010797427,0.000026820519,0.000009745871,0.0000039117795,0.0008637427,0.49237588,0.49201068,0.00008721268,0.012600529,0.0019984143],"study_design_scores_gemma":[0.00018855813,0.000023995972,0.0000328838,0.000026210038,0.0000047517037,0.0000073595643,0.00011842633,0.24433063,0.7506951,0.00001332032,0.0043540234,0.00020470176],"about_ca_topic_score_codex":0.0000040759774,"about_ca_topic_score_gemma":0.0000104091105,"teacher_disagreement_score":0.9366972,"about_ca_system_score_codex":0.00007330217,"about_ca_system_score_gemma":0.0000017991778,"threshold_uncertainty_score":0.99995154},"labels":[],"label_agreement":null},{"id":"W1572573202","doi":"10.1109/icc.2015.7248694","title":"Channel access-aware user association in two-tier cellular networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Telecommunications link; Cellular network; Spectral efficiency; Base station; Context (archaeology); Channel (broadcasting); Interference (communication); Monte Carlo method; Computer network; Association scheme; Coverage probability; Transmitter power output; Transmission (telecommunications); Electronic engineering; Real-time computing; Telecommunications; Engineering; Mathematics; Transmitter; Statistics","score_opus":0.018487930003820884,"score_gpt":0.25414250772557695,"score_spread":0.23565457772175608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572573202","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":[0.0040565548,0.00021125334,0.98761475,0.0000335127,0.000784474,0.00020678974,0.0000015330976,0.00033605934,0.0067550675],"genre_scores_gemma":[0.99670285,0.000016662914,0.00083958503,0.00003963065,0.00021376782,0.00003076534,0.000033137636,0.00003967499,0.0020839504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993081,0.000024343302,0.00020197513,0.00012068727,0.0001152585,0.00022964104],"domain_scores_gemma":[0.9996544,0.000023735458,0.000041760006,0.00013637623,0.00007656676,0.000067165056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020440853,0.00010891943,0.00013710726,0.00008266681,0.000013758725,0.00004512102,0.00010777792,0.00009146617,0.000029080422],"category_scores_gemma":[0.00003583406,0.00011427528,0.000019664703,0.00027811335,0.0000028495022,0.00052983646,0.00003126758,0.00011818973,0.00004121035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001653838,0.000005527293,0.0048985314,0.0000070143788,0.000007374316,0.000001929258,0.000114418166,0.99108756,0.000021725797,0.00004056872,0.0036985748,0.0001151538],"study_design_scores_gemma":[0.00052551087,0.0000043454324,0.00021642655,0.000017010107,0.0000039070073,3.516612e-7,0.00007535541,0.99713135,0.0005401676,0.00010518034,0.0012268277,0.00015359044],"about_ca_topic_score_codex":0.000071756476,"about_ca_topic_score_gemma":0.00023438987,"teacher_disagreement_score":0.9926463,"about_ca_system_score_codex":0.0004454319,"about_ca_system_score_gemma":0.000009836622,"threshold_uncertainty_score":0.46600106},"labels":[],"label_agreement":null},{"id":"W1572935275","doi":"10.1109/icc.2015.7248723","title":"Load balancing in cellular networks with user-in-the-loop: A spatial traffic shaping approach","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ministero dello Sviluppo Economico; Huawei Technologies","keywords":"Computer science; Cellular network; Load balancing (electrical power); Spectral efficiency; Computer network; GSM; Mathematics","score_opus":0.016132967022099896,"score_gpt":0.19662614113505383,"score_spread":0.18049317411295393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1572935275","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":[0.07918769,0.000334256,0.91404504,0.000008097969,0.00010584512,0.00037114177,2.6985e-7,0.00018365523,0.0057639815],"genre_scores_gemma":[0.9843791,0.0000054015945,0.015326154,0.000021704669,0.0001088919,0.00004722481,0.000010509083,0.000039810468,0.00006121637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990557,0.000042576507,0.0002447819,0.0001844177,0.00017482959,0.00029774016],"domain_scores_gemma":[0.9996559,0.000029039096,0.000028036331,0.00020430116,0.000031375945,0.000051370695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037594145,0.00015698477,0.00018753411,0.00008167691,0.000017673152,0.0000357652,0.00014142362,0.00008284313,0.0000038079663],"category_scores_gemma":[0.000015239089,0.0001216141,0.00001710923,0.00039096095,0.000012646344,0.00019205063,0.000012612615,0.00021002225,0.000005774107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009652311,0.000016420056,0.0007147161,0.000027324204,0.000004440517,0.000014427025,0.0008387478,0.9975008,0.000033582506,0.000059005848,0.000057891702,0.0007230306],"study_design_scores_gemma":[0.00076646084,0.000021470509,0.00008737774,0.000058650763,0.0000040891205,0.000012463315,0.00077391276,0.9979647,0.000050914787,0.000003777907,0.00008384054,0.00017237129],"about_ca_topic_score_codex":0.00012342485,"about_ca_topic_score_gemma":0.00074859115,"teacher_disagreement_score":0.9051914,"about_ca_system_score_codex":0.00021719036,"about_ca_system_score_gemma":0.000028370263,"threshold_uncertainty_score":0.49592793},"labels":[],"label_agreement":null},{"id":"W1575062512","doi":"10.1109/cwit.2015.7255158","title":"Uplink scheduling in multi-cell MU-MIMO systems with ZF post-processing and diversity combining","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Medical Research Council; King Saud University; Saudi Arabian Cultural Bureau","keywords":"Telecommunications link; Single antenna interference cancellation; MIMO; Decoding methods; Computer science; Base station; Maximal-ratio combining; Scheduling (production processes); Wireless; Diversity combining; Multi-user MIMO; Algorithm; Interference (communication); Real-time computing; Electronic engineering; Computer network; Telecommunications; Mathematics; Fading; Engineering; Channel (broadcasting); Mathematical optimization","score_opus":0.02530950939815296,"score_gpt":0.22150552369113857,"score_spread":0.1961960142929856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575062512","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":[0.29242235,0.0011697343,0.7045808,0.000008013495,0.00013643852,0.00021388722,0.0000011815207,0.0003031869,0.0011644552],"genre_scores_gemma":[0.94228524,0.000009094121,0.05752982,0.00001359794,0.0000167359,0.0000061678898,0.0000065198064,0.00003145087,0.0001013702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992727,0.000016303946,0.00018887501,0.0001873754,0.00010314443,0.00023157627],"domain_scores_gemma":[0.9995881,0.000020372325,0.000038642174,0.00011482489,0.00011813278,0.00011997102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018929286,0.00014962367,0.00019809463,0.000114024675,0.0000834009,0.00005789992,0.00007875566,0.00007880429,0.0000010543256],"category_scores_gemma":[0.000022155516,0.00014003736,0.0000089821615,0.00018359031,0.000020915293,0.00045231998,0.00009155094,0.00014064331,0.0000069617513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000096497,0.000014153248,0.018739583,0.00017851665,0.0000051952734,0.0000090481,0.0013090367,0.97921216,0.00030405467,0.00001854634,0.0000047630183,0.00019530031],"study_design_scores_gemma":[0.0016216424,0.000030040097,0.00034678736,0.000179036,0.00000796425,0.000014752447,0.004159764,0.99324393,0.00018312894,0.0000022376485,0.0000079840565,0.00020275814],"about_ca_topic_score_codex":0.00028317215,"about_ca_topic_score_gemma":0.00014071356,"teacher_disagreement_score":0.6498629,"about_ca_system_score_codex":0.000120155564,"about_ca_system_score_gemma":0.000022668397,"threshold_uncertainty_score":0.57105577},"labels":[],"label_agreement":null},{"id":"W1576577548","doi":"10.1109/cdc.2003.1272542","title":"Individual and mass behaviour in large population stochastic wireless power control problems: centralized and nash equilibrium solutions","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":366,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Linear-quadratic-Gaussian control; Nash equilibrium; Power control; Optimal control; Context (archaeology); Mathematical optimization; Computer science; Fading; Game theory; Control theory (sociology); Population; Stochastic control; Telecommunications link; Control (management); Wireless; Power (physics); Mathematics; Mathematical economics; Channel (broadcasting); Computer network; Telecommunications","score_opus":0.008757825450050034,"score_gpt":0.21743915270249667,"score_spread":0.20868132725244665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1576577548","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":[0.43058115,0.00027443294,0.5682942,0.000033678763,0.00008537415,0.00047910013,0.000040155715,0.00016360101,0.000048297108],"genre_scores_gemma":[0.9974492,0.000008448751,0.0023785124,0.000012565865,0.000013649353,0.000031451716,0.00005590343,0.000030486275,0.000019769564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912834,0.000019334375,0.00026349572,0.00017146165,0.000095623334,0.00032176368],"domain_scores_gemma":[0.9997578,0.00001914348,0.000034988352,0.00009202853,0.000022876273,0.000073138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012472484,0.00014073595,0.00018435837,0.00011395288,0.000043310836,0.00004193014,0.00003958599,0.00009647252,0.000010876109],"category_scores_gemma":[0.000014925641,0.000149084,0.000014787267,0.00012638068,0.00001730054,0.00034888842,0.000020607495,0.00010141019,0.0000018090703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007668914,0.00003146714,0.01985083,0.00004391171,0.00001717447,0.0000021596209,0.0005354215,0.97506136,0.0022704632,0.0021193582,0.0000063536545,0.000053815475],"study_design_scores_gemma":[0.018541638,0.00012378492,0.19633807,0.00039114582,0.00011199233,0.00005131903,0.0008273427,0.77949,0.00020420611,0.002890372,0.000012685296,0.0010174294],"about_ca_topic_score_codex":0.000060974,"about_ca_topic_score_gemma":0.0002314081,"teacher_disagreement_score":0.56686807,"about_ca_system_score_codex":0.00009326265,"about_ca_system_score_gemma":0.00000897925,"threshold_uncertainty_score":0.6079469},"labels":[],"label_agreement":null},{"id":"W1578328717","doi":"10.1007/978-3-319-06337-9_7","title":"Sum-Rate Maximization for Multicell MIMO-BC with IC","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","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":"McGill University","funders":"","keywords":"Precoding; Telecommunications link; Base station; MIMO; Maximization; Dirty paper coding; Computer science; Mathematical optimization; Transmission (telecommunications); Interference (communication); Optimization problem; Cellular network; Algorithm; Channel (broadcasting); Mathematics; Telecommunications","score_opus":0.01108865075412138,"score_gpt":0.20757078329806034,"score_spread":0.19648213254393895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578328717","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":[0.000102820726,0.00009890205,0.9837706,0.000013552354,0.0012184354,0.00082118093,0.000006654869,0.00032038984,0.01364748],"genre_scores_gemma":[0.08428933,0.00017114807,0.8918001,0.0001720671,0.00112812,0.00014823282,0.0000541075,0.00042557478,0.021811321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805975,0.000009507174,0.00045175207,0.00072873634,0.00028220812,0.00046807085],"domain_scores_gemma":[0.998734,0.00011105617,0.00017433368,0.0006337502,0.00023135004,0.00011551231],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052436703,0.00041273725,0.00041437754,0.00045047273,0.00011448767,0.00015205653,0.00058988854,0.00018031214,0.000014021513],"category_scores_gemma":[0.000023046157,0.0004202766,0.000054520533,0.00021170438,0.00023443048,0.00034389028,0.00011951513,0.00024626992,0.000036267455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008506429,0.0000043328173,0.0000230638,0.00023119242,0.000009337526,0.0000050847466,0.0000903039,0.97749573,0.00014448036,0.011169544,0.00003427061,0.010784154],"study_design_scores_gemma":[0.000504351,0.00007466825,0.000044151086,0.0005417123,0.000014000267,0.0000055283117,7.8646957e-7,0.9866647,0.0007370104,0.00064845436,0.010181423,0.00058317854],"about_ca_topic_score_codex":0.000009139796,"about_ca_topic_score_gemma":0.00006063621,"teacher_disagreement_score":0.09197048,"about_ca_system_score_codex":0.0003163726,"about_ca_system_score_gemma":0.000084836334,"threshold_uncertainty_score":0.9998249},"labels":[],"label_agreement":null},{"id":"W1578333506","doi":"10.1109/icc.2015.7248773","title":"Joint channel and power allocation in underlay multicast device-to-device communications","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Underlay; Multicast; Joint (building); Computer science; Channel (broadcasting); Power (physics); Computer network; Telecommunications; Engineering; Signal-to-noise ratio (imaging); Physics","score_opus":0.0609265769042688,"score_gpt":0.28451279431539606,"score_spread":0.22358621741112725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1578333506","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":[0.025566218,0.0006431082,0.9479597,0.0012977049,0.00019932879,0.0007558913,0.0000038692483,0.00044806363,0.023126068],"genre_scores_gemma":[0.96044755,0.000030615312,0.039180957,0.00011387262,0.000011966658,0.000050343413,0.000012921902,0.00002535402,0.00012644772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994371,0.00002711668,0.00021976745,0.0001157606,0.00006542415,0.00013482844],"domain_scores_gemma":[0.99935925,0.000035003883,0.000020084182,0.00038593085,0.00008937057,0.00011037124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016575349,0.00009711527,0.00011607497,0.00012254457,0.000024953652,0.000022369491,0.00010945699,0.000051985804,0.0000051862444],"category_scores_gemma":[0.00007098548,0.000101310434,0.00000858991,0.00023949842,0.000016013159,0.00021034188,0.00006713621,0.00008035345,0.00006733379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000478155,0.000052601292,0.00046632826,0.00004945146,0.000016864538,0.0000010257945,0.005520828,0.98615116,0.002579479,0.0033910067,0.00059153466,0.0011749502],"study_design_scores_gemma":[0.00058965926,0.000026807724,0.0019211057,0.00007627701,0.000005882469,0.0000070786145,0.002913141,0.9915122,0.00062570156,0.00017994875,0.0018941899,0.00024800882],"about_ca_topic_score_codex":0.000084189385,"about_ca_topic_score_gemma":0.00084109925,"teacher_disagreement_score":0.9348813,"about_ca_system_score_codex":0.00013098697,"about_ca_system_score_gemma":0.000012287783,"threshold_uncertainty_score":0.41313198},"labels":[],"label_agreement":null},{"id":"W1579772159","doi":"10.1109/icc.2015.7248294","title":"Impact of intra- and inter-RAT offloading on the spectrum/energy efficiency of HetNets","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Heterogeneous network; Quality of service; Computer science; Mathematical optimization; Spectral efficiency; Efficient energy use; Cellular network; Optimization problem; Pareto principle; Pareto optimal; Multi-objective optimization; Computer network; Distributed computing; Wireless network; Wireless; Mathematics; Telecommunications; Engineering; Algorithm","score_opus":0.012278514118473272,"score_gpt":0.233602578802805,"score_spread":0.22132406468433172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1579772159","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":[0.52201295,0.00017082397,0.46149838,0.00002571414,0.0001624364,0.0000984208,0.0000026386413,0.0000696658,0.015958972],"genre_scores_gemma":[0.9993721,0.000014712308,0.00050689257,0.0000042488928,0.000019725076,0.0000019000295,9.576133e-7,0.000013133534,0.00006627795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995876,0.000014555981,0.0001691037,0.00006800423,0.00006382346,0.00009690873],"domain_scores_gemma":[0.9996974,0.000049411803,0.00003935337,0.00014704117,0.000028376027,0.00003845202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009135976,0.000081025515,0.00012690976,0.00006279413,0.000008555702,0.0000056637937,0.00006638359,0.000028536728,0.000020907333],"category_scores_gemma":[0.000042595242,0.000051013805,0.000026697728,0.00013123697,0.00002642039,0.00006400187,0.000016193982,0.00003892183,0.0000016040271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016057304,0.00002319556,0.0007494225,0.000026182963,0.000034184694,6.193818e-7,0.00066298735,0.9731184,0.016774237,0.0064284783,0.00078265206,0.00138356],"study_design_scores_gemma":[0.0005726192,0.0005491996,0.00036194525,0.00014141855,0.000012054317,0.000014947697,0.00036100793,0.80619067,0.19063473,0.00084607664,0.000096422475,0.00021890253],"about_ca_topic_score_codex":0.000090017405,"about_ca_topic_score_gemma":0.000022140957,"teacher_disagreement_score":0.4773592,"about_ca_system_score_codex":0.000053573058,"about_ca_system_score_gemma":0.000009762954,"threshold_uncertainty_score":0.20802826},"labels":[],"label_agreement":null},{"id":"W1581000168","doi":"10.1002/wcm.2297","title":"Capacity maximization in eigen-MIMO with channel estimation and CSI feedback-link throughput constraint","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; MIMO; Throughput; Constraint (computer-aided design); Link (geometry); Channel (broadcasting); Maximization; Computer network; Control theory (sociology); Mathematical optimization; Telecommunications; Wireless; Control (management); Mathematics; Artificial intelligence","score_opus":0.01910689369116013,"score_gpt":0.23865741990915187,"score_spread":0.21955052621799176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581000168","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":[0.3325365,0.0019098514,0.6643416,0.000048645095,0.00006126521,0.00044025332,0.0000055654436,0.00016899621,0.00048731532],"genre_scores_gemma":[0.93106276,0.0007681396,0.06797502,0.00001240134,0.00003356174,0.00006449531,0.000050538656,0.00002999892,0.0000030913602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991882,0.000065695036,0.00030129263,0.00014210872,0.00006478697,0.00023795446],"domain_scores_gemma":[0.99920255,0.00012766359,0.00009124681,0.0004426002,0.00006336504,0.000072590905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024231586,0.00016026814,0.000200337,0.000101233825,0.00021856317,0.00004737517,0.0001326227,0.00008046535,0.0000014660718],"category_scores_gemma":[0.000012533876,0.00016479933,0.000012186625,0.00023693519,0.00014732718,0.0003798359,0.000116039686,0.0001909646,0.0000014704033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037996474,0.00005527868,0.005584204,0.00015018639,0.000022719314,2.8344547e-7,0.0060285158,0.83078045,0.0004931008,0.0033999768,0.000004446504,0.15347706],"study_design_scores_gemma":[0.00038204552,0.00002063157,0.0022206376,0.00019609575,0.000010234945,0.000030630927,0.00073091424,0.99582297,0.0001976409,0.00007063951,0.00012210403,0.00019543644],"about_ca_topic_score_codex":0.000043806755,"about_ca_topic_score_gemma":0.000049633512,"teacher_disagreement_score":0.59852624,"about_ca_system_score_codex":0.0000756601,"about_ca_system_score_gemma":0.000010642671,"threshold_uncertainty_score":0.6720322},"labels":[],"label_agreement":null},{"id":"W1583669230","doi":"10.1007/978-1-4614-8397-7","title":"Capacity Analysis of Vehicular Communication Networks","year":2013,"lang":"en","type":"book","venue":"Springer briefs in electrical and computer engineering","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":"University of Waterloo","funders":"","keywords":"Computer science; Computer network","score_opus":0.0046938807874863835,"score_gpt":0.1675288027163779,"score_spread":0.1628349219288915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583669230","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":[0.0023171995,0.0051695756,0.99037516,0.0000039258703,0.00014647904,0.00026807757,0.0000036751103,0.0002353361,0.0014805943],"genre_scores_gemma":[0.8797488,0.005759767,0.107337534,0.00006939827,0.0008005431,0.00021014178,0.0003956191,0.0004735612,0.0052046333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987609,0.000019536541,0.000531931,0.00026275447,0.00013195747,0.00029291274],"domain_scores_gemma":[0.9992467,0.00013300496,0.00008988144,0.00039594164,0.000059215956,0.00007521827],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000119103825,0.00031293527,0.0007289141,0.00066897535,0.000018892195,0.000032158136,0.0002215434,0.00033382885,0.0000068071136],"category_scores_gemma":[0.000008983257,0.0003584982,0.00012722745,0.0006885509,0.000025141488,0.000110810135,0.00008505418,0.00060825876,0.000001596943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.68978e-7,0.000007694462,0.00011453009,0.000111425325,0.0004160398,0.0000017668225,0.000041142055,0.99311435,0.00002452916,0.0017325273,0.00015895569,0.00427609],"study_design_scores_gemma":[0.00012013291,0.000014531796,0.0016706932,0.00015966276,0.00019741461,0.000002505884,1.9645495e-7,0.99603415,0.000026245416,0.00007233647,0.001383296,0.00031885793],"about_ca_topic_score_codex":0.000026245156,"about_ca_topic_score_gemma":0.0000084613,"teacher_disagreement_score":0.8830376,"about_ca_system_score_codex":0.00023688801,"about_ca_system_score_gemma":0.0000119102,"threshold_uncertainty_score":0.9998867},"labels":[],"label_agreement":null},{"id":"W1585208824","doi":"10.1109/iccw.2015.7247171","title":"Self-optimization of uplink power and decoding order in heterogeneous networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Telecommunications link; Computer science; Potential game; Decoding methods; Best response; Game theory; Base station; Mathematical optimization; Nash equilibrium; Interference (communication); Power (physics); Monte Carlo method; Distributed computing; Channel (broadcasting); Computer network; Telecommunications; Mathematics","score_opus":0.008333770273491149,"score_gpt":0.21265920277482156,"score_spread":0.20432543250133042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1585208824","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":[0.008281425,0.00048372438,0.9882232,0.000004368441,0.00013250846,0.00013321669,2.1667594e-7,0.00016076927,0.002580596],"genre_scores_gemma":[0.78259987,0.000080823855,0.21725112,0.0000072974663,0.000011545317,0.0000052325877,0.0000039469446,0.00002122261,0.000018937088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955034,0.000009960102,0.0001987048,0.00008827026,0.000042102874,0.00011064857],"domain_scores_gemma":[0.99975926,0.000017467717,0.000026007789,0.00008969453,0.00006208041,0.000045495006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008535411,0.00007832601,0.000116691415,0.00007240452,0.0000074135028,0.000008722655,0.000032377833,0.00006802592,0.000012186709],"category_scores_gemma":[0.000019930598,0.0000805065,0.000008187297,0.00018613038,0.0000064633937,0.00013066357,0.00001591195,0.000044116823,0.0000011623459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025967356,0.0000056556787,0.0010220257,0.000015222398,0.0000064657347,0.0000010160469,0.00016912533,0.9984102,0.0000136567205,0.000053641903,0.000022629789,0.00027773736],"study_design_scores_gemma":[0.0003070949,0.000014081151,0.000012002759,0.000014243848,0.0000029178238,0.000006780053,0.000035939207,0.99929935,0.00017516126,0.000014895964,0.00003468684,0.00008283375],"about_ca_topic_score_codex":0.0000048755887,"about_ca_topic_score_gemma":0.000011870646,"teacher_disagreement_score":0.77431846,"about_ca_system_score_codex":0.000047344354,"about_ca_system_score_gemma":0.000006317171,"threshold_uncertainty_score":0.32829598},"labels":[],"label_agreement":null},{"id":"W1586395257","doi":"10.1109/spawc.2015.7227015","title":"Hybrid beamforming with finite-resolution phase shifters for large-scale MIMO systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Baseband; Beamforming; MIMO; Radio frequency; Transceiver; Computer science; Electronic engineering; Antenna (radio); Engineering; Telecommunications; Bandwidth (computing); Wireless","score_opus":0.016635138043372088,"score_gpt":0.24181407416203074,"score_spread":0.22517893611865866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586395257","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":[0.005372394,0.0002421789,0.99061984,0.000015087579,0.00048366148,0.00070773746,0.000063343614,0.0005675912,0.0019281525],"genre_scores_gemma":[0.9116501,0.000005130619,0.08703228,0.000019764097,0.00018589468,0.0002501206,0.00015531146,0.00007917979,0.0006221833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999105,0.000011145585,0.00026038737,0.00017356513,0.00012725429,0.00032268005],"domain_scores_gemma":[0.99945146,0.000048159327,0.000049531853,0.00020407428,0.00010865639,0.00013814423],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020196913,0.00016320696,0.00019238015,0.00009424199,0.00005652626,0.00004303404,0.0000812613,0.0000480756,0.000004563591],"category_scores_gemma":[0.00003287849,0.00014335409,0.000032181284,0.00011030975,0.000010081219,0.00040973703,0.0000116056335,0.000059731872,0.00001840161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004563239,0.000026712729,0.00001698377,0.000110744746,0.000020765066,0.0000018122778,0.0002723769,0.9967882,0.00024278874,0.00056969695,0.0016584122,0.00024588665],"study_design_scores_gemma":[0.0019943526,0.00014076984,4.037651e-7,0.00006662607,0.000018655244,0.000014242061,0.0008226692,0.98339385,0.0017181252,0.00004057061,0.011571217,0.00021853684],"about_ca_topic_score_codex":0.000015650665,"about_ca_topic_score_gemma":0.00002496775,"teacher_disagreement_score":0.9062777,"about_ca_system_score_codex":0.00015386991,"about_ca_system_score_gemma":0.000020358195,"threshold_uncertainty_score":0.584581},"labels":[],"label_agreement":null},{"id":"W1588488887","doi":"10.1109/jsac.2015.2435291","title":"Revisiting Scheduling in Heterogeneous Networks When the Backhaul Is Limited","year":2015,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Backhaul (telecommunications); Computer science; Bottleneck; Scheduling (production processes); Distributed computing; Computer network; Base station; Fair-share scheduling; Dynamic priority scheduling; Mathematical optimization; Quality of service; Mathematics","score_opus":0.04321998608898445,"score_gpt":0.280571984972502,"score_spread":0.23735199888351757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588488887","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3710006,0.023828473,0.5875662,0.006439341,0.0015763445,0.0015176634,0.000015896305,0.00076993974,0.0072855814],"genre_scores_gemma":[0.98404336,0.0016178917,0.0138178,0.00020532832,0.00020192444,0.000030685154,0.000013077203,0.000051719762,0.000018240718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984042,0.00036681377,0.0006375576,0.000119962,0.00016504465,0.00030638892],"domain_scores_gemma":[0.99814254,0.00040762147,0.00016500635,0.0008780639,0.00029785655,0.00010892702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065863645,0.00017135114,0.00022122565,0.00026021604,0.0001798622,0.00010820595,0.0007948488,0.00011551589,0.000008298687],"category_scores_gemma":[0.00031431398,0.00015206434,0.000044023156,0.0009917592,0.000035275094,0.00022677549,0.000055588756,0.0012405248,0.000014991458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009272696,0.000025081805,0.0013904916,0.000004162568,0.000021217716,0.000005537547,0.0008736893,0.9948551,0.00010372157,0.0000453718,0.0002726398,0.0023937114],"study_design_scores_gemma":[0.0004988021,0.000021474401,0.00033624575,0.0004491697,0.000009953501,0.00017115721,0.00021303374,0.99649316,0.00013855966,0.0003324108,0.0011588384,0.00017717102],"about_ca_topic_score_codex":0.0000136327835,"about_ca_topic_score_gemma":0.00014896912,"teacher_disagreement_score":0.6130428,"about_ca_system_score_codex":0.00048139007,"about_ca_system_score_gemma":0.000061213505,"threshold_uncertainty_score":0.6201004},"labels":[],"label_agreement":null},{"id":"W1589389407","doi":"10.1109/ccece.1993.332400","title":"Application of the method of simulated annealing to the topological design of remote computing networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University; Université TÉLUQ","funders":"","keywords":"Simulated annealing; Topology (electrical circuits); Computer science; Network topology; Network packet; Neighbourhood (mathematics); Reliability (semiconductor); Theoretical computer science; Algorithm; Mathematics; Computer network; Combinatorics","score_opus":0.0262846329542629,"score_gpt":0.2697740613477895,"score_spread":0.24348942839352658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589389407","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":[0.0014017748,0.000107749496,0.99758863,0.00003746298,0.000054136526,0.00040726434,6.199098e-7,0.000050469876,0.00035190166],"genre_scores_gemma":[0.71301275,0.000005103966,0.28693253,0.000012009393,0.000017566446,6.1520996e-7,4.0898428e-7,0.0000075025573,0.000011519518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936324,0.00008248664,0.00031865147,0.0000774392,0.00006883542,0.00008932679],"domain_scores_gemma":[0.9993065,0.00026413694,0.00010180142,0.00024124641,0.000072557275,0.000013750292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031263,0.0000636791,0.00014817633,0.000021480531,0.000026788086,0.0000019616357,0.00015346847,0.00005725994,0.000008116706],"category_scores_gemma":[0.00006655134,0.00003802526,0.00003177292,0.00034493065,0.000017654487,0.000020354973,0.000031590927,0.00006345345,6.356456e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024085234,0.0000035999037,0.000032737407,0.000014829561,0.000009250949,1.985622e-8,0.00019420724,0.9786098,0.004257161,0.00022444411,0.000021604399,0.016629921],"study_design_scores_gemma":[0.00007064778,0.00001307717,0.000057408277,0.000024065435,0.0000075746257,9.77492e-7,0.000051005598,0.98937273,0.01028508,0.0000556201,0.000023706514,0.00003807775],"about_ca_topic_score_codex":0.000028473618,"about_ca_topic_score_gemma":0.0000017393072,"teacher_disagreement_score":0.711611,"about_ca_system_score_codex":0.000015319778,"about_ca_system_score_gemma":0.0000011851021,"threshold_uncertainty_score":0.15506251},"labels":[],"label_agreement":null},{"id":"W1590097060","doi":"10.1023/a:1016593111704","title":"Performance Analysis of a Mobile Communication Network: Unidirectional Tandem Case with Phase Type Service","year":2002,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Advanced MIMO Systems Optimization","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":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Tandem; Convergence (economics); Node (physics); Poisson distribution; Handover; Channel (broadcasting); Cellular network; Topology (electrical circuits); Applied mathematics; Mathematical optimization; Algorithm; Computer network; Mathematics; Statistics; Combinatorics; Physics","score_opus":0.023507878524684868,"score_gpt":0.25328216500280176,"score_spread":0.2297742864781169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1590097060","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":[0.85019994,0.012657615,0.12367192,0.000040249626,0.00026453528,0.0015492403,0.000047524856,0.0010244016,0.010544567],"genre_scores_gemma":[0.9927077,0.0010565395,0.0056857993,0.000008852715,0.00002893554,0.00018416,0.0001961134,0.00003912778,0.00009271348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879634,0.00013365042,0.00059149286,0.00014107638,0.00015198808,0.00018545921],"domain_scores_gemma":[0.9977685,0.00015257591,0.00027751247,0.0012812326,0.00046456003,0.000055626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035476554,0.00016626845,0.00038428188,0.0002492285,0.0001925038,0.000029327492,0.00032944244,0.00009321005,0.0000698033],"category_scores_gemma":[0.000009026494,0.00016655143,0.00004196239,0.0029417425,0.000037326,0.0003126747,0.000042043204,0.0001657862,0.00001646976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000885072,0.00007936611,0.0007647657,0.00007022166,0.0004384739,9.4512797e-7,0.0006254481,0.99622285,0.00028297017,0.00010931624,0.00012277008,0.0012740138],"study_design_scores_gemma":[0.0004395884,0.00007118886,0.00009385037,0.00008860925,0.00026409514,0.00016683972,0.00044900793,0.99564195,0.00008689396,7.4919836e-7,0.0025191926,0.00017801233],"about_ca_topic_score_codex":0.00014275816,"about_ca_topic_score_gemma":0.00030721983,"teacher_disagreement_score":0.1425078,"about_ca_system_score_codex":0.0001460403,"about_ca_system_score_gemma":0.000011036436,"threshold_uncertainty_score":0.679177},"labels":[],"label_agreement":null},{"id":"W1592174611","doi":"10.1109/mim.2015.7108393","title":"5G cellular: key enabling technologies and research challenges","year":2015,"lang":"en","type":"article","venue":"IEEE Instrumentation & Measurement Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":602,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Key (lock); Wireless; Cellular network; Computer network; Energy consumption; Telecommunications; Low latency (capital markets); Latency (audio); Emerging technologies; Mobile telephony; Mobile radio; Engineering; Computer security; Electrical engineering","score_opus":0.1428598529506563,"score_gpt":0.30129316891020663,"score_spread":0.15843331595955032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1592174611","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":[0.67186743,0.062043674,0.17577597,0.0046359156,0.0061534215,0.005056519,0.000030444407,0.0086175725,0.065819055],"genre_scores_gemma":[0.99390405,0.0016024384,0.0041509313,0.000006576287,0.0000904933,0.00011355695,0.000008901232,0.000044526485,0.00007851211],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819446,0.0000794345,0.00032985889,0.00027805052,0.0007857713,0.00033245364],"domain_scores_gemma":[0.9990634,0.000025258438,0.000054019074,0.00026645075,0.0005001851,0.00009073441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013405579,0.000181772,0.00017718748,0.00036397908,0.00009025865,0.00007371221,0.00013882178,0.000108209715,0.0000056653093],"category_scores_gemma":[0.0001725291,0.00019028662,0.00001925346,0.00033934668,0.00007625074,0.00047192443,0.000027674776,0.00021903435,0.00009289432],"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":[0.00007569269,0.00012127865,0.0006674903,0.00073851534,0.00012569876,0.000022479286,0.010292767,0.09423596,0.6951245,0.0011514509,0.0046284744,0.19281566],"study_design_scores_gemma":[0.005889371,0.0005483182,0.00044212016,0.000691283,0.000070119735,0.000045358433,0.04395245,0.04494107,0.8501128,0.003933156,0.04803094,0.0013430116],"about_ca_topic_score_codex":0.000006432969,"about_ca_topic_score_gemma":0.000054799144,"teacher_disagreement_score":0.32203665,"about_ca_system_score_codex":0.00043911228,"about_ca_system_score_gemma":0.00003277182,"threshold_uncertainty_score":0.77596635},"labels":[],"label_agreement":null},{"id":"W1594799172","doi":"10.1109/icc.2015.7249052","title":"Robust MSE-based transceiver optimization for downlink cellular interference alignment","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telecommunications link; Base station; Transmitter power output; Computer science; Mean squared error; Channel state information; Transceiver; MIMO; Amplifier; Interference (communication); Mathematical optimization; Channel (broadcasting); Mathematics; Transmitter; Statistics; Telecommunications; Wireless","score_opus":0.03817753594391597,"score_gpt":0.21879798775747797,"score_spread":0.180620451813562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1594799172","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":[0.00029515594,0.00011063492,0.99485594,0.000043231972,0.00037093554,0.00052912254,0.0000131537545,0.00042017482,0.0033616628],"genre_scores_gemma":[0.6843612,0.000006650084,0.31503782,0.000036733156,0.000066435554,0.000104403,0.00012037134,0.000043441054,0.00022296999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931103,0.000013452633,0.00023064172,0.00016797306,0.00009368907,0.00018322545],"domain_scores_gemma":[0.99955,0.000025495472,0.000028053668,0.00018134197,0.000116771495,0.000098344295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107192216,0.00014610113,0.00013856267,0.0000678315,0.000024374513,0.00002638951,0.00010187078,0.000078671226,0.00006879984],"category_scores_gemma":[0.000017709901,0.00014358578,0.00004301628,0.000106773536,0.000013185668,0.0001859984,0.0000046033188,0.000045041394,0.000016489752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014572669,0.000013699137,0.000011016595,0.000050912055,0.000009595444,4.825475e-7,0.00011069566,0.9965911,0.0017710236,0.00024311365,0.00088574854,0.000298025],"study_design_scores_gemma":[0.00088194467,0.000053976757,4.1040119e-7,0.00002943067,0.000014690895,4.955554e-7,0.00009300004,0.96627593,0.03172052,0.000043737557,0.0007084626,0.0001773964],"about_ca_topic_score_codex":0.0000057303027,"about_ca_topic_score_gemma":0.000006162058,"teacher_disagreement_score":0.68406606,"about_ca_system_score_codex":0.00015806888,"about_ca_system_score_gemma":0.000022439843,"threshold_uncertainty_score":0.5855258},"labels":[],"label_agreement":null},{"id":"W1597617151","doi":"","title":"Indoor-to-outdoor channel characterization for modeling and prediction of interference in next generation wireless networks","year":2015,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Transmitter; Computer science; Interference (communication); Femtocell; Overlay; Stochastic geometry; Wireless; Channel (broadcasting); Computer network; Wireless network; Radio propagation; Co-channel interference; Electronic engineering; Telecommunications; Engineering; Base station","score_opus":0.08306012632685479,"score_gpt":0.2383532541060022,"score_spread":0.1552931277791474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597617151","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":[0.31961346,0.000029026774,0.6795853,0.00003166816,0.00015115895,0.0004062284,0.000012233094,0.000045328186,0.00012564361],"genre_scores_gemma":[0.99860466,0.00022946663,0.0007460342,0.000022823122,0.000117568576,0.000034590576,0.00019198556,0.000028448323,0.000024450062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999241,0.00006491131,0.00031297997,0.00020101045,0.000061994426,0.00011810637],"domain_scores_gemma":[0.9995718,0.000009583742,0.00007248798,0.000087890854,0.00019016671,0.000068065456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030952407,0.0001253565,0.00014598109,0.00013933558,0.000031870986,0.00006093654,0.00004545832,0.000044572986,7.36757e-7],"category_scores_gemma":[0.00004187867,0.00012639674,0.000009373026,0.00012359176,0.000014841766,0.00034999658,0.00001812067,0.000075169846,0.0000011204144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018466786,0.000034293003,0.00054721313,0.0001777936,0.000012677322,0.0000012598363,0.0033951777,0.66008127,0.27146187,0.0021260446,0.000014555606,0.06196315],"study_design_scores_gemma":[0.0004682229,0.00018268739,0.00050328305,0.00025754527,0.000004654383,0.0000019617116,0.00019408687,0.9971301,0.001111716,0.000031935855,0.000005143586,0.0001086722],"about_ca_topic_score_codex":0.000004872602,"about_ca_topic_score_gemma":0.000012970222,"teacher_disagreement_score":0.6789912,"about_ca_system_score_codex":0.00003219198,"about_ca_system_score_gemma":0.000011769626,"threshold_uncertainty_score":0.515431},"labels":[],"label_agreement":null},{"id":"W1600836310","doi":"10.1109/ccece.2005.1557230","title":"The effect of antenna physics on fading correlation and the capacity of multielement antenna systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; Antenna (radio); Physics; Electronic engineering; Antenna measurement; Computer science; Telecommunications; Electrical engineering; Engineering","score_opus":0.00544780703079702,"score_gpt":0.1917230456175426,"score_spread":0.18627523858674558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1600836310","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":[0.15948494,0.0003493936,0.83798563,0.000008654351,0.00028653187,0.00069414126,0.000005405869,0.000058737558,0.0011265695],"genre_scores_gemma":[0.9996115,0.00003189029,0.00020810077,8.87138e-7,0.000041244028,0.000022454988,0.0000031039015,0.000013258036,0.000067586254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993763,0.000072024464,0.00027771763,0.000071183196,0.00010540504,0.000097397424],"domain_scores_gemma":[0.9992277,0.0004567287,0.00010762334,0.00015636065,0.00004233873,0.000009259376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033522426,0.00009662897,0.00018131809,0.000019607513,0.000063567066,0.000012005635,0.00005308051,0.000030952106,4.465859e-7],"category_scores_gemma":[0.000033122666,0.00005038359,0.000033337696,0.00007785173,0.0000669963,0.00006519847,0.000009608064,0.00006168628,8.1603764e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038953527,0.0000056745707,0.0017151964,0.00016697226,0.000028330145,9.159067e-8,0.00016811132,0.9736254,0.011942547,0.011816182,0.000020775578,0.0004717429],"study_design_scores_gemma":[0.0006711545,0.00005433755,0.00034887114,0.00009748415,0.000016598018,0.0000011275307,0.000105691885,0.9900265,0.008533256,0.000080725076,0.000010706821,0.000053596716],"about_ca_topic_score_codex":0.00020845687,"about_ca_topic_score_gemma":0.000018233497,"teacher_disagreement_score":0.8401265,"about_ca_system_score_codex":0.000031558327,"about_ca_system_score_gemma":0.0000013522491,"threshold_uncertainty_score":0.20545831},"labels":[],"label_agreement":null},{"id":"W1604511065","doi":"10.1109/glocom.1992.276693","title":"An investigation of wireless personal communication systems: microcell co-channel interference modelling and outage probability analysis","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Microcell; Rician fading; Multipath propagation; Rayleigh fading; Interference (communication); Fading; Fading distribution; Computer science; Probability density function; Co-channel interference; Weibull fading; Electronic engineering; Log-distance path loss model; Channel state information; Signal-to-interference ratio; Maximal-ratio combining; Algorithm; Channel (broadcasting); Telecommunications; Wireless; Mathematics; Statistics; Engineering; Physics; Power (physics)","score_opus":0.02485949081081342,"score_gpt":0.2313772247073114,"score_spread":0.20651773389649797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1604511065","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":[0.43703958,0.0001953341,0.56230265,0.0000012954113,0.000013475666,0.00014628873,0.0000066289654,0.00006500591,0.0002297371],"genre_scores_gemma":[0.9826088,0.000059723763,0.017210465,0.0000024373835,0.0000039310216,0.00002026251,0.000055508874,0.000015127166,0.000023771787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991835,0.000114917515,0.00034836016,0.00017298454,0.000075405995,0.00010483531],"domain_scores_gemma":[0.99939287,0.00004367396,0.00009146693,0.00028044055,0.00013088621,0.000060664548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030897206,0.00011961986,0.00023140755,0.00013742138,0.000046627923,0.00003070457,0.00008705021,0.0000743835,0.000005240417],"category_scores_gemma":[0.0000074951895,0.00012407982,0.000028889608,0.00029997548,0.0000588064,0.000322994,0.0000076229426,0.00008160336,8.787905e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024983624,0.00000946434,0.0035012227,0.00017575154,0.00005231255,4.918724e-8,0.002356864,0.9889861,0.0041777426,0.00071949005,0.0000017857664,0.000016747319],"study_design_scores_gemma":[0.00010650529,0.000014433584,0.00007132904,0.00004391489,0.000057465026,0.0000013941896,0.0012883659,0.9912966,0.0067813103,0.00021875037,0.0000011230749,0.00011884883],"about_ca_topic_score_codex":0.00010667994,"about_ca_topic_score_gemma":0.00005422755,"teacher_disagreement_score":0.5455692,"about_ca_system_score_codex":0.00006629158,"about_ca_system_score_gemma":0.000011561842,"threshold_uncertainty_score":0.50598276},"labels":[],"label_agreement":null},{"id":"W1607978590","doi":"10.1109/lcomm.2015.2430346","title":"Coverage Probability Analysis of Heterogeneous Cellular Networks in Rician/Rayleigh Fading Environments","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rician fading; Rayleigh fading; Fading; Fading distribution; Rayleigh scattering; Computer science; Algorithm; Statistics; Mathematics; Telecommunications; Physics","score_opus":0.026142346547165712,"score_gpt":0.23070965902974291,"score_spread":0.2045673124825772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1607978590","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":[0.36683083,0.00049466366,0.6320407,0.000054452634,0.00008563456,0.00022826673,0.000008986397,0.000054086264,0.0002024158],"genre_scores_gemma":[0.99215156,0.00012167068,0.0074877306,0.000060576564,0.000011133147,0.00005469562,0.000084787935,0.000023097962,0.000004775035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990152,0.00014056331,0.0004241765,0.00014123107,0.000107668864,0.0001711266],"domain_scores_gemma":[0.99835277,0.00008956003,0.00009795046,0.0013878958,0.00001744091,0.00005441494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023467951,0.00012504567,0.0002659325,0.00025710967,0.00003644628,0.000011833716,0.00047379942,0.00006349114,0.0000036180897],"category_scores_gemma":[0.000019919993,0.00015030625,0.00007511346,0.00077988056,0.0000708716,0.00014258169,0.00006692041,0.00015764606,0.0000047577573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021826265,0.00003571857,0.0058819116,0.00000797075,0.00013333463,0.0000010467621,0.00034260112,0.98414767,0.009141792,0.000009623095,0.000035007044,0.00026113962],"study_design_scores_gemma":[0.00024339641,0.0000072968164,0.0008306534,0.000018897403,0.000122933,6.934813e-7,0.00002601042,0.9962455,0.0019676252,0.000037979597,0.00033289625,0.00016614379],"about_ca_topic_score_codex":0.00004915777,"about_ca_topic_score_gemma":0.00010058637,"teacher_disagreement_score":0.6253207,"about_ca_system_score_codex":0.00034104934,"about_ca_system_score_gemma":0.0000053528333,"threshold_uncertainty_score":0.6129311},"labels":[],"label_agreement":null},{"id":"W1619779794","doi":"10.1109/lwc.2015.2435737","title":"Power-Constrained Distributed Implementation of SNR-Optimal Collaborative Beamforming in Highly-Scattered Environments","year":2015,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Beamforming; Computer science; Power (physics); Distributed computing; Telecommunications; Physics","score_opus":0.01449768871963832,"score_gpt":0.2607558377267106,"score_spread":0.2462581490070723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1619779794","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":[0.61727446,0.00009523184,0.38067633,0.00071811175,0.00015702164,0.0005577147,0.00024790523,0.00010263892,0.0001705882],"genre_scores_gemma":[0.97950834,0.0000497061,0.0197414,0.000051173007,0.000011099474,0.00014660617,0.0004520095,0.000035860237,0.000003797103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987448,0.00011153035,0.0005933525,0.00015391446,0.0001604443,0.00023596687],"domain_scores_gemma":[0.9988042,0.000070002694,0.00018362996,0.0008155637,0.00005237875,0.000074189775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018770521,0.00018225763,0.00025484798,0.00019248288,0.00005975332,0.000019516721,0.00045886406,0.00006553627,0.0000067533965],"category_scores_gemma":[0.0000111148165,0.00022188612,0.000034569704,0.0005010346,0.00014858255,0.00041914897,0.00006546037,0.00016275885,0.000009540593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015369955,0.00007301011,0.003143865,0.000025679394,0.000064741755,0.0000020945463,0.0053255865,0.7894487,0.19929795,0.00023309082,0.0007797383,0.0015901965],"study_design_scores_gemma":[0.017407319,0.0003556445,0.01207871,0.0007391141,0.00017545614,0.000041892803,0.068491906,0.5593662,0.32774693,0.00012126691,0.010320651,0.0031548988],"about_ca_topic_score_codex":0.000055346747,"about_ca_topic_score_gemma":0.000109358436,"teacher_disagreement_score":0.36223388,"about_ca_system_score_codex":0.00041601094,"about_ca_system_score_gemma":0.000040082024,"threshold_uncertainty_score":0.9048253},"labels":[],"label_agreement":null},{"id":"W1621817755","doi":"10.1109/mwc.2015.7054727","title":"Hailing cloud empowered radio access networks","year":2015,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mircom Technologies (Canada); Western University","funders":"","keywords":"Computer science; Cloud computing; Cognitive radio; Computer network; Provisioning; Radio access network; Femtocell; Radio resource management; Wireless; Mobile broadband; Wireless broadband; Wireless network; Base station; Telecommunications; Mobile station","score_opus":0.05370677749388128,"score_gpt":0.29982161312556244,"score_spread":0.24611483563168116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1621817755","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":[0.010380631,0.0028509789,0.97468185,0.00013903914,0.0015870541,0.00034841013,0.000010012864,0.00107752,0.008924504],"genre_scores_gemma":[0.9891755,0.00075642543,0.009428009,0.000030614305,0.00020319561,0.00010985739,0.00007663836,0.00007360393,0.00014613727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990347,0.0000922665,0.0003615073,0.00014622278,0.00011301634,0.0002522624],"domain_scores_gemma":[0.99766535,0.00012528489,0.00007768027,0.0018220376,0.00015539542,0.00015426717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002071426,0.00016944166,0.00021468302,0.00009157433,0.00016215636,0.00010259609,0.0013074568,0.000118837466,0.000005263061],"category_scores_gemma":[0.000030261852,0.00019689534,0.00004729063,0.0004237116,0.00008046452,0.00050034333,0.00015537674,0.00030316168,0.000042230953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029821808,0.000022122298,0.00028195168,0.000010777278,0.000027693854,7.0791816e-7,0.00042523604,0.9931264,0.00021853352,0.00078902877,0.0028552832,0.0022392739],"study_design_scores_gemma":[0.00035465704,0.000007017897,0.00004132959,0.000058698366,0.000014304836,0.000008220551,0.00017149211,0.9913159,0.00037875405,0.0001647834,0.0072444957,0.0002403372],"about_ca_topic_score_codex":0.00004128704,"about_ca_topic_score_gemma":0.00013405434,"teacher_disagreement_score":0.9787949,"about_ca_system_score_codex":0.00018750447,"about_ca_system_score_gemma":0.000037514215,"threshold_uncertainty_score":0.8029159},"labels":[],"label_agreement":null},{"id":"W162367383","doi":"10.1007/978-3-642-23490-3_19","title":"Improved and Extended Sum-Capacity Computation for the Gaussian Vector Broadcast Channel via Dual Decomposition","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","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":"Toronto Metropolitan University","funders":"","keywords":"Gaussian; Computer science; Computation; Dual (grammatical number); Channel capacity; Convergence (economics); Channel (broadcasting); Algorithm; Duality (order theory); Mathematical optimization; Topology (electrical circuits); Mathematics; Telecommunications; Discrete mathematics; Combinatorics","score_opus":0.016309804438165196,"score_gpt":0.23397443331543588,"score_spread":0.21766462887727067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W162367383","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":[0.000074091884,0.00046384847,0.9966389,0.00005319776,0.0014793894,0.0009416879,0.000020381909,0.0001592192,0.0001693111],"genre_scores_gemma":[0.81575966,0.00005331175,0.18339872,0.00008885766,0.0005161661,0.00004855842,0.000031528707,0.00007479281,0.000028423112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986101,0.000012824035,0.00033361904,0.00053318107,0.00017798594,0.0003323102],"domain_scores_gemma":[0.9990734,0.0002728341,0.00014145447,0.00029768248,0.00013782004,0.00007684033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027497153,0.0003535788,0.00030124016,0.00023934054,0.00022596268,0.00012163194,0.00026739758,0.00022158341,0.0000039498077],"category_scores_gemma":[0.000022028584,0.00029475882,0.000057907968,0.0001409116,0.0002811862,0.00028776377,0.000093601564,0.0003180246,0.0000024502967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018090626,0.000010579551,0.000001502107,0.00013798315,0.000024139666,0.0000025407448,0.0009751719,0.6874415,0.002264977,0.0005899142,0.0000057120083,0.3085279],"study_design_scores_gemma":[0.0002772864,0.00010372299,0.00007502452,0.00015117199,0.000018430586,0.00004818764,3.6238694e-7,0.97980976,0.001790913,0.017345479,0.000045316126,0.00033434576],"about_ca_topic_score_codex":0.000017508866,"about_ca_topic_score_gemma":0.0000698842,"teacher_disagreement_score":0.8156856,"about_ca_system_score_codex":0.00018849841,"about_ca_system_score_gemma":0.00003417401,"threshold_uncertainty_score":0.99995047},"labels":[],"label_agreement":null},{"id":"W1624753659","doi":"10.1109/iwcmc.2015.7289259","title":"User-aware cell switch-off algorithms","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Huawei Technologies","keywords":"Computer science; Algorithm","score_opus":0.013925410780989966,"score_gpt":0.2214733658778032,"score_spread":0.20754795509681323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1624753659","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":[0.0013384286,0.0003166251,0.94927114,0.000014844416,0.00054988224,0.00013090309,0.000003197823,0.00079972105,0.047575273],"genre_scores_gemma":[0.88704896,0.000049956892,0.099021584,0.000053328695,0.00028406183,0.000031610973,0.000030441859,0.00010147209,0.013378608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994942,0.000007559175,0.00013887264,0.00010666002,0.00009032555,0.00016239387],"domain_scores_gemma":[0.99961543,0.000010605042,0.000014798898,0.00018851092,0.000060631617,0.00011004582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000615609,0.00010385758,0.00010146733,0.000042145504,0.000014963486,0.000017819644,0.000083332365,0.00005943942,0.00004982701],"category_scores_gemma":[0.000007960236,0.000099719306,0.00001968385,0.000122066,0.0000056027047,0.00020030809,0.000017766975,0.000062309366,0.00037969195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000132711,0.0000104776855,0.00016873026,0.000028141612,0.000006764315,0.00000496789,0.00018831463,0.9763062,0.00051596964,0.000092744136,0.019245265,0.0034311172],"study_design_scores_gemma":[0.00065919146,0.000030734245,0.000022277625,0.000015318286,0.000007770759,0.000008730759,0.0005543039,0.92465055,0.015156158,0.00010922357,0.058454383,0.00033136643],"about_ca_topic_score_codex":0.000014544763,"about_ca_topic_score_gemma":0.000011015999,"teacher_disagreement_score":0.8857105,"about_ca_system_score_codex":0.00007716889,"about_ca_system_score_gemma":0.00001204444,"threshold_uncertainty_score":0.48802984},"labels":[],"label_agreement":null},{"id":"W1647819578","doi":"10.1017/cbo9781139084284.013","title":"Cross-layer design of adaptive packet scheduling for green radio networks","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Toronto Metropolitan University","funders":"","keywords":"Computer network; Protocol stack; Computer science; Physical layer; Radio resource management; PHY; Wireless network; Network packet; Telecommunications link; Data link layer; Network layer; Link layer; Wireless; Wireless sensor network; Telecommunications; Layer (electronics)","score_opus":0.037789686706885366,"score_gpt":0.2149039774184296,"score_spread":0.17711429071154422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1647819578","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008401932,0.0008879784,0.72022414,3.4766433e-7,0.00028905176,0.00085634325,0.00021632272,0.00019261379,0.27732483],"genre_scores_gemma":[0.011570312,0.00022298408,0.023710592,0.000004858729,0.0004739518,0.0000070697547,0.000108692024,0.00023547138,0.9636661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998844,0.000025522044,0.00030308473,0.00032017095,0.00013500944,0.00037216657],"domain_scores_gemma":[0.9987466,0.00015399998,0.00025615768,0.0004280451,0.0002704728,0.00014475337],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014798557,0.00042371175,0.0005562657,0.00016660852,0.00010402722,0.000016744776,0.00032116417,0.00056107336,0.0000037347563],"category_scores_gemma":[0.000008134583,0.00054767873,0.00019857248,0.000011817048,0.00013585376,0.00021431952,0.000100858015,0.00033330158,0.000002651553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002121938,0.00000497429,0.0000029476723,0.00031627348,0.00039446357,0.000014110005,0.00007678343,0.83334905,0.00017088084,0.16244593,0.0014709617,0.0015414512],"study_design_scores_gemma":[0.0025877468,0.00017157977,0.000009161157,0.0009844156,0.000857436,0.000022666532,0.00005560891,0.7694978,0.0028463225,0.00002395998,0.22112413,0.0018191858],"about_ca_topic_score_codex":0.000024829702,"about_ca_topic_score_gemma":7.690382e-7,"teacher_disagreement_score":0.69651353,"about_ca_system_score_codex":0.00029102582,"about_ca_system_score_gemma":0.00003759431,"threshold_uncertainty_score":0.99969745},"labels":[],"label_agreement":null},{"id":"W1653958936","doi":"10.1109/tsp.2015.2461511","title":"Spatial Reuse Precoding for Scalable Downlink Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of British Columbia","funders":"","keywords":"Precoding; Zero-forcing precoding; Telecommunications link; Computer science; MIMO; Cellular network; Single antenna interference cancellation; Kronecker product; Base station; Scalability; Channel (broadcasting); Algorithm; Kronecker delta; Computer network","score_opus":0.02727550175885848,"score_gpt":0.24954350492016006,"score_spread":0.22226800316130157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1653958936","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":[0.0005654925,0.00024419784,0.9970157,0.000026214797,0.00061102875,0.00040812715,0.00001135919,0.00059136044,0.0005264791],"genre_scores_gemma":[0.9657776,0.000012304786,0.033524293,0.000023842578,0.00024768812,0.00014582311,0.000007284931,0.00007561448,0.00018559916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990144,0.000018070581,0.00030049295,0.00022498591,0.00013476048,0.00030732914],"domain_scores_gemma":[0.99940634,0.000062163206,0.000054745644,0.00018767356,0.00015424326,0.00013485395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018753516,0.0001895357,0.00019109494,0.00012235726,0.00018916049,0.00008843059,0.00015150566,0.00013443184,0.00001606596],"category_scores_gemma":[0.000008008277,0.00020280201,0.000060056263,0.00024781984,0.000023046176,0.00050477404,8.843339e-7,0.00021414625,0.000012890464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048216487,0.00002171234,0.0000025753243,0.00008115427,0.00001434611,6.779314e-7,0.00022559268,0.90603864,0.0009833113,0.0000014454189,0.0001749906,0.092407316],"study_design_scores_gemma":[0.0006783424,0.000067107365,7.008851e-7,0.00015966065,0.00003211162,0.00000728514,0.00007884353,0.9786137,0.019573526,0.000116199066,0.00044310998,0.0002294592],"about_ca_topic_score_codex":0.000008234838,"about_ca_topic_score_gemma":0.000016580156,"teacher_disagreement_score":0.96521205,"about_ca_system_score_codex":0.00018268425,"about_ca_system_score_gemma":0.000049325296,"threshold_uncertainty_score":0.8270026},"labels":[],"label_agreement":null},{"id":"W1661725067","doi":"10.1504/ijahuc.2015.070587","title":"Spectrum sharing model for OFDMA macro-femtocell networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Ad Hoc and Ubiquitous Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Femtocell; Macrocell; Computer science; Computer network; Throughput; Telecommunications link; Transmitter power output; Bandwidth (computing); Reuse; Base station; Cellular network; Orthogonal frequency-division multiple access; Quality of service; Telecommunications; Transmitter; Orthogonal frequency-division multiplexing; Wireless; Channel (broadcasting)","score_opus":0.022273857667352223,"score_gpt":0.2612364077213507,"score_spread":0.23896255005399847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1661725067","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":[0.089641936,0.0020724481,0.90626013,0.000102297476,0.0015747256,0.000090305075,0.000004114014,0.000050987517,0.00020307118],"genre_scores_gemma":[0.9665606,0.00023803736,0.031962667,0.00004488418,0.0010556014,0.0000015634472,0.000003876355,0.00003280231,0.000099943565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991024,0.0000055232117,0.00043445642,0.00010605588,0.00017754947,0.00017401385],"domain_scores_gemma":[0.99926025,0.000053569787,0.00020596645,0.000058607013,0.00031516413,0.000106431035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698208,0.000120433055,0.00018667923,0.00012373264,0.00003791689,0.000085952444,0.00024516476,0.000056319754,0.000001570187],"category_scores_gemma":[0.000029216113,0.00012050773,0.00006299816,0.000049404578,0.000013557416,0.00022733482,0.000068519206,0.00015477401,6.1856105e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004550733,0.000009623089,0.00034363827,0.000015181019,0.00007412995,0.000009641528,0.0004894602,0.98988205,0.00016551795,0.00033769457,0.00031900057,0.00830854],"study_design_scores_gemma":[0.0008358145,0.000047632733,0.000035115514,0.00014634801,0.0000152355415,0.0001361523,0.000097344746,0.9961392,0.00022558139,0.0019310063,0.00027153717,0.00011902956],"about_ca_topic_score_codex":0.0000010633564,"about_ca_topic_score_gemma":0.0000043259447,"teacher_disagreement_score":0.8769187,"about_ca_system_score_codex":0.00013271913,"about_ca_system_score_gemma":0.000022908214,"threshold_uncertainty_score":0.49141625},"labels":[],"label_agreement":null},{"id":"W1662081346","doi":"10.1109/tsp.2015.2460223","title":"Linear Beamformer Design for Interference Alignment via Rank Minimization","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Matrix norm; Telecommunications link; Interference alignment; Algorithm; Minification; Rank (graph theory); Low-rank approximation; Interference (communication); Matrix (chemical analysis); Computer science; Mathematics; Norm (philosophy); Mathematical optimization; Beamforming; Telecommunications; MIMO; Combinatorics","score_opus":0.042207561381087506,"score_gpt":0.2662238182560557,"score_spread":0.22401625687496818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1662081346","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":[0.00014236064,0.00011609726,0.9982648,0.000022164684,0.00035321867,0.00056471425,0.000011931477,0.00036461977,0.00016011557],"genre_scores_gemma":[0.83383375,0.00000913287,0.16563964,0.000030453873,0.00007514259,0.00020220972,0.000009123529,0.00006122884,0.00013933083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990101,0.000027132994,0.00033722928,0.00022027314,0.00016124554,0.00024400416],"domain_scores_gemma":[0.9994573,0.00006285208,0.00006385685,0.000114010974,0.00018601395,0.00011596776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017249654,0.00020559547,0.00018432549,0.00014775085,0.00013124022,0.000046675792,0.000102904756,0.00010364722,0.00001801002],"category_scores_gemma":[0.0000044711205,0.00021123388,0.000051901356,0.00023951031,0.000025895511,0.0005054901,4.9801537e-7,0.00012342236,0.000022053802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009140963,0.000036076395,4.518722e-7,0.00008870084,0.000019266145,3.466932e-7,0.0005438194,0.94571215,0.006744799,0.0000015338985,0.00008653084,0.046674937],"study_design_scores_gemma":[0.00066408684,0.00013973283,1.4758444e-7,0.00012387554,0.000035865927,0.0000072750786,0.00014209781,0.8648136,0.13347785,0.0001386984,0.00024201802,0.00021469267],"about_ca_topic_score_codex":0.0000023241298,"about_ca_topic_score_gemma":0.000002456977,"teacher_disagreement_score":0.83369136,"about_ca_system_score_codex":0.00020609061,"about_ca_system_score_gemma":0.000057601763,"threshold_uncertainty_score":0.8613868},"labels":[],"label_agreement":null},{"id":"W1663848445","doi":"10.1109/twc.2015.2437878","title":"Joint Downlink and Uplink Aware Cell Association in HetNets With QoS Provisioning","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Computer network; Quality of service; Base station; Provisioning; Fading; Cellular network; Interference (communication); Heterogeneous network; Wireless; Telecommunications; Wireless network; Channel (broadcasting)","score_opus":0.022366038587895862,"score_gpt":0.23580443347039834,"score_spread":0.2134383948825025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1663848445","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":[0.027659416,0.0002429711,0.9694494,0.0003569973,0.00019429396,0.000545261,0.00002427331,0.00037353838,0.0011538494],"genre_scores_gemma":[0.9853456,0.00043731026,0.013692571,0.000021849677,0.00001576468,0.00022525509,0.000024860137,0.000051272596,0.00018554293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900603,0.000089933405,0.00034658235,0.00018455103,0.00015822206,0.00021467562],"domain_scores_gemma":[0.998758,0.00014265864,0.00009387969,0.00074975454,0.00014478185,0.000110917696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022535793,0.0001797501,0.00021659858,0.0002274546,0.00017849347,0.00005125986,0.00021590671,0.0001372862,0.0000040338714],"category_scores_gemma":[0.000006534943,0.00018595363,0.000028853601,0.00041931524,0.000040889772,0.00034269542,0.000004531043,0.0004718056,0.000020540801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000112106045,0.00012565932,0.00027613202,0.000040510284,0.000023027076,9.774586e-7,0.0011403726,0.99204147,0.0008730837,0.000041985375,0.00007398582,0.0053515746],"study_design_scores_gemma":[0.0016933804,0.000105031955,0.00023829262,0.00027445506,0.000040593004,0.000009927586,0.00090697786,0.98864126,0.0071033514,0.000047905076,0.00051582203,0.0004230187],"about_ca_topic_score_codex":0.00007418774,"about_ca_topic_score_gemma":0.0006081191,"teacher_disagreement_score":0.9576862,"about_ca_system_score_codex":0.0005051113,"about_ca_system_score_gemma":0.000056183242,"threshold_uncertainty_score":0.75829685},"labels":[],"label_agreement":null},{"id":"W166736171","doi":"","title":"On the covariance function of a mobile-to-mobile communication link","year":2007,"lang":"en","type":"article","venue":"international conference on Modelling and simulation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Covariance; Computer science; Link (geometry); Mobile telephony; Covariance function; Communication link; Function (biology); Simple (philosophy); Mobile radio; Mathematics; Statistics; Computer network","score_opus":0.041833293774323294,"score_gpt":0.28998963321236065,"score_spread":0.24815633943803736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W166736171","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":[0.09769039,0.00004030752,0.89911056,0.000052698055,0.00019390896,0.00036679945,0.000010372216,0.00006769442,0.0024672942],"genre_scores_gemma":[0.99654835,0.000071301685,0.003083831,0.000054858545,0.000054554224,0.00006279688,0.000031079966,0.00001534794,0.00007789399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992914,0.000024312518,0.0002830914,0.00013208899,0.00017993817,0.000089154826],"domain_scores_gemma":[0.9991059,0.00033998516,0.0000806249,0.00019774835,0.000244607,0.000031162548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003414044,0.000100968486,0.00009527568,0.000121677476,0.0000660601,0.000024715937,0.00011878543,0.00006399829,0.000033855507],"category_scores_gemma":[0.00002735451,0.00008795293,0.00002203368,0.00009288695,0.000021155849,0.00011724629,0.000012882294,0.0001287892,0.000016817941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008837262,0.0000119886,0.000010078009,0.000006886129,0.000013197525,1.0017349e-7,0.0002863475,0.9520131,0.0005708239,0.037565295,0.0000063337066,0.009427475],"study_design_scores_gemma":[0.00015706697,0.00010345386,0.000028448943,0.000108136934,0.0000046888304,2.7133808e-7,0.00009783367,0.99305785,0.00056650944,0.005413925,0.00037855003,0.00008326587],"about_ca_topic_score_codex":0.000009072514,"about_ca_topic_score_gemma":0.000005035632,"teacher_disagreement_score":0.89885795,"about_ca_system_score_codex":0.000056941084,"about_ca_system_score_gemma":0.0000072743787,"threshold_uncertainty_score":0.35866165},"labels":[],"label_agreement":null},{"id":"W1674645738","doi":"10.1109/iwcmc.2015.7288931","title":"A context-aware cognitive SIMO transceiver for increased LTE-HetNet system-level DL-throughput","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Throughput; Channel (broadcasting); Telecommunications link; Transceiver; Context (archaeology); Link adaptation; Electronic engineering; Real-time computing; Computer network; Telecommunications; Wireless; Engineering; Fading","score_opus":0.04681766347890771,"score_gpt":0.2548111700772018,"score_spread":0.20799350659829408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1674645738","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":[0.003402632,0.00024913985,0.98436874,0.000018793708,0.00041112982,0.0012905773,0.00043244,0.00095895975,0.008867568],"genre_scores_gemma":[0.9915488,0.0000045695388,0.0068604713,0.00006455004,0.00015287883,0.00029536296,0.00021210179,0.0000954461,0.0007658461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988311,0.00004056706,0.00036667098,0.00027224325,0.0001567179,0.00033272893],"domain_scores_gemma":[0.999018,0.00017359384,0.000054206812,0.00018221763,0.00037730992,0.00019465068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018029516,0.00026494064,0.0003606731,0.00008674477,0.000058269132,0.00003323386,0.000116569354,0.0001533743,0.000027848995],"category_scores_gemma":[0.000087105014,0.00025940884,0.00008538367,0.00016299903,0.000034670684,0.00036261172,0.000010016396,0.00009264744,0.000098921075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013188879,0.0003541513,0.0014066832,0.005191718,0.0016548632,0.00011938054,0.0123986425,0.8929758,0.0039492063,0.018952206,0.04175103,0.019927405],"study_design_scores_gemma":[0.009379282,0.00022405415,0.000075786455,0.00065571646,0.00018480075,0.000046132733,0.013735669,0.95867896,0.010348395,0.000116446376,0.005539179,0.0010156027],"about_ca_topic_score_codex":0.0001627074,"about_ca_topic_score_gemma":0.00015193355,"teacher_disagreement_score":0.9881461,"about_ca_system_score_codex":0.00023580232,"about_ca_system_score_gemma":0.000054783453,"threshold_uncertainty_score":0.9999858},"labels":[],"label_agreement":null},{"id":"W1730511642","doi":"","title":"Compact multiport antennas for high spectral efficiency","year":2013,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Wireless; Computer science; Electronic engineering; Spectral efficiency; Antenna (radio); Smart antenna; Directional antenna; Conformal antenna; Point (geometry); Telecommunications; Channel (broadcasting); Electrical engineering; Engineering; Slot antenna; Mathematics","score_opus":0.021474803955647062,"score_gpt":0.22742922479621686,"score_spread":0.2059544208405698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1730511642","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":[0.18444644,0.00008960349,0.7949171,0.00027464057,0.0004404927,0.0016102946,0.000020645282,0.0005164553,0.017684337],"genre_scores_gemma":[0.9971064,0.00007266244,0.0020476317,0.000045767618,0.00011108322,0.000020998465,0.000052827563,0.00004716128,0.0004954972],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911636,0.000045442852,0.00026298163,0.0002319118,0.00008762346,0.00025565716],"domain_scores_gemma":[0.99950397,0.00002798627,0.00006924496,0.0001603209,0.00014920617,0.00008926821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017292032,0.00018239157,0.00016358927,0.0000806536,0.00009731863,0.000115275434,0.00009128672,0.00003127955,0.000058118185],"category_scores_gemma":[0.00004236573,0.00015827605,0.000028333028,0.00009101241,0.000042833144,0.00025844402,0.000009321331,0.0000994108,0.00012401793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002358038,0.0003924679,0.0035818706,0.0010775368,0.0001669537,0.00004473818,0.0036346917,0.07174248,0.669976,0.075938284,0.0051604095,0.16804874],"study_design_scores_gemma":[0.0011438665,0.00040233516,0.021586234,0.00024157549,0.000014638861,0.000016016913,0.0002432114,0.96853924,0.006320013,0.00058193307,0.0004114504,0.00049947924],"about_ca_topic_score_codex":0.00001636808,"about_ca_topic_score_gemma":0.0000042437964,"teacher_disagreement_score":0.89679676,"about_ca_system_score_codex":0.000029666384,"about_ca_system_score_gemma":0.000010588746,"threshold_uncertainty_score":0.645431},"labels":[],"label_agreement":null},{"id":"W1764924767","doi":"10.1109/icassp.2015.7178507","title":"Hybrid digital and analog beamforming design for large-scale MIMO systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":146,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Beamforming; Baseband; Electronic engineering; Transmitter; Computer science; Spectral efficiency; Radio frequency; Multi-user MIMO; Antenna (radio); Precoding; 3G MIMO; WSDMA; Engineering; Telecommunications; Bandwidth (computing); Channel (broadcasting)","score_opus":0.01985845286641937,"score_gpt":0.22258443579862047,"score_spread":0.2027259829322011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1764924767","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":[0.0026168756,0.0003886359,0.9937582,0.000005009456,0.00028125648,0.00047748617,0.000041453663,0.00032683907,0.0021042563],"genre_scores_gemma":[0.92769855,0.000008523727,0.071326725,0.000006567348,0.00011447126,0.00007906288,0.000035908328,0.000047951013,0.00068226055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940944,0.0000056422687,0.000185255,0.00012550528,0.00006420789,0.00020992849],"domain_scores_gemma":[0.9996472,0.000043972123,0.000023471182,0.00011527294,0.00006207154,0.00010799572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015112205,0.000110819215,0.00014964577,0.000055081164,0.000033997425,0.00008577179,0.000049430957,0.000036345744,0.0000011553947],"category_scores_gemma":[0.00003849725,0.00010449689,0.000019113917,0.000053400323,0.000006855225,0.0004827815,0.00001499219,0.00003237771,0.000008632184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010183631,0.000008635735,0.000100757214,0.00010459763,0.000020970016,0.0000012776444,0.00017773533,0.994207,0.0002670968,0.0008181839,0.003333359,0.0009501913],"study_design_scores_gemma":[0.00033668938,0.000046932906,0.0000011919656,0.000025106661,0.0000075070325,0.00002367936,0.0004762945,0.99202263,0.0013505933,0.000297639,0.005247705,0.00016402807],"about_ca_topic_score_codex":0.0000031544755,"about_ca_topic_score_gemma":0.0000017429619,"teacher_disagreement_score":0.9250817,"about_ca_system_score_codex":0.000057045872,"about_ca_system_score_gemma":0.000009392032,"threshold_uncertainty_score":0.42612594},"labels":[],"label_agreement":null},{"id":"W1772278376","doi":"10.1109/vetecs.2006.1683255","title":"Efficient Receive Antenna Selection Algorithms and Framework for Transmit Zero-Forcing Beamforming","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Beamforming; Algorithm; Computer science; Selection (genetic algorithm); Akaike information criterion; Artificial intelligence; Machine learning; Telecommunications","score_opus":0.006717046747623738,"score_gpt":0.21823024054942872,"score_spread":0.21151319380180497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1772278376","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":[0.0120481085,0.00023197278,0.98604983,0.00001506635,0.00022423475,0.0004260931,0.000004856199,0.00042545187,0.0005743696],"genre_scores_gemma":[0.5585583,0.000012326737,0.44110456,0.000007708291,0.00010418752,0.000042534495,0.000008196817,0.00003476405,0.00012742553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932396,0.000005027177,0.00021365615,0.00016517378,0.00006283578,0.00022935699],"domain_scores_gemma":[0.9997468,0.0000743138,0.000028417786,0.00006760517,0.000049716626,0.00003312848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008685496,0.00013003997,0.00013731189,0.00008231515,0.00010261975,0.000028032635,0.00003222412,0.00010117794,0.000004795699],"category_scores_gemma":[0.000016233183,0.00012987178,0.000032770637,0.00018191243,0.000011280227,0.000088600806,0.0000040375853,0.000087100845,0.0000017783593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051634765,0.000006713185,0.00007548892,0.00007344955,0.00000930408,2.0785845e-7,0.00013793622,0.9872698,0.0052008512,0.002509075,0.000031941156,0.0046800217],"study_design_scores_gemma":[0.00024963843,0.000027176733,0.00005866168,0.00007605207,0.000012744129,0.000010164638,0.00008456854,0.9912439,0.006124386,0.0017281831,0.00021756593,0.000166955],"about_ca_topic_score_codex":0.000030451636,"about_ca_topic_score_gemma":0.0000154584,"teacher_disagreement_score":0.5465102,"about_ca_system_score_codex":0.00008017034,"about_ca_system_score_gemma":0.0000042864135,"threshold_uncertainty_score":0.52960175},"labels":[],"label_agreement":null},{"id":"W1794587449","doi":"10.1002/wcm.2515","title":"Throughput and cost‐efficient interference cancelation strategies for the downlink of spectrum‐sharing Long Term Evolution heterogeneous networks","year":2014,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heterogeneous network; Computer science; Femtocell; Throughput; Computer network; Telecommunications link; Interference (communication); Base station; Cellular network; Spectral efficiency; LTE Advanced; Transmitter power output; Femto-; Telecommunications; Wireless network; Wireless; Transmitter; Channel (broadcasting)","score_opus":0.015702707629558832,"score_gpt":0.2576518236659455,"score_spread":0.2419491160363867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1794587449","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":[0.2012485,0.004414261,0.7936084,0.000011392317,0.000076541146,0.00049668114,0.000002871535,0.00006989161,0.00007141455],"genre_scores_gemma":[0.9960757,0.0008250178,0.0029253066,0.0000035679868,0.00003919132,0.00009349304,0.000017573007,0.000018171364,0.000001977297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935687,0.000033044595,0.00028642648,0.00014256721,0.0000356303,0.00014549503],"domain_scores_gemma":[0.99896276,0.00031886715,0.00012024725,0.00051154284,0.00006164879,0.000024953539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020898446,0.000111540976,0.00015208134,0.00003895694,0.00030718528,0.00006493662,0.00024129712,0.000049658716,4.7845265e-7],"category_scores_gemma":[0.0000072597304,0.000099748206,0.000023679177,0.000100694895,0.00010651863,0.000087045395,0.0001813617,0.00011872566,1.2122375e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002385083,0.000008216687,0.0010033596,0.0000615394,0.000015173281,1.5647005e-8,0.00055063434,0.94057477,0.00027175574,0.0038843676,5.105727e-7,0.053627286],"study_design_scores_gemma":[0.00018587799,0.000030431678,0.0012706575,0.00020191945,0.000017103044,0.000006060056,0.0003203075,0.9976086,0.00009000318,0.00014149472,0.000028405166,0.00009911155],"about_ca_topic_score_codex":0.000045597844,"about_ca_topic_score_gemma":0.00014532509,"teacher_disagreement_score":0.7948272,"about_ca_system_score_codex":0.000058155198,"about_ca_system_score_gemma":0.000009219371,"threshold_uncertainty_score":0.40676138},"labels":[],"label_agreement":null},{"id":"W1814267378","doi":"","title":"On cognitive small cells in two-tier heterogeneous networks","year":2013,"lang":"en","type":"article","venue":"Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Cognitive radio; Base station; Stochastic geometry; Interference (communication); Computer network; Heterogeneous network; Small cell; Femto-; Cognitive network; Spectrum management; Telecommunications link; Cognition; Wireless; Wireless network; Telecommunications; Channel (broadcasting); Mathematics","score_opus":0.0067853019054618866,"score_gpt":0.2060043538873896,"score_spread":0.19921905198192771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1814267378","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":[0.19685167,0.0062864157,0.79570234,0.0000032196579,0.00023814852,0.0006909369,0.0000028646034,0.00013424225,0.00009015866],"genre_scores_gemma":[0.9752962,0.017398234,0.0065603373,0.00008128141,0.00008783418,0.00038876373,0.000060655686,0.00009275037,0.000033946788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845076,0.000073475654,0.00051894947,0.00042984087,0.00008681256,0.0004401627],"domain_scores_gemma":[0.9994259,0.00013994075,0.00006805215,0.00015637375,0.00008801442,0.00012172555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015319188,0.00032783375,0.00037182693,0.00021305206,0.00009142819,0.00010656625,0.0000764172,0.00023035915,0.000016340115],"category_scores_gemma":[0.000007101089,0.00034792593,0.00003223045,0.00031524702,0.000042724754,0.00022729242,0.00003774968,0.00036480554,0.0000024100816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032459455,0.000028340217,0.00015341844,0.00003492489,0.000012153398,0.000004828205,0.00029482602,0.9806777,0.000006601493,0.000014558973,0.000010740638,0.018729433],"study_design_scores_gemma":[0.0011899738,0.000054993,0.000007947245,0.00041778016,0.000009591193,0.000004482677,0.00016244633,0.9977138,0.00001212444,0.000056906283,0.000004314208,0.0003656169],"about_ca_topic_score_codex":0.000032913635,"about_ca_topic_score_gemma":0.00009160151,"teacher_disagreement_score":0.789142,"about_ca_system_score_codex":0.0000680022,"about_ca_system_score_gemma":0.000007477218,"threshold_uncertainty_score":0.9998973},"labels":[],"label_agreement":null},{"id":"W1832942760","doi":"10.1017/cbo9781139084284.007","title":"Cooperative techniques for energy-efficient wireless communications","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer network; Antenna diversity; Computer science; Cooperative diversity; Wireless; Efficient energy use; Quality of service; Wireless network; Spectral efficiency; Transceiver; Fading; Energy consumption; Distributed computing; Telecommunications; Engineering; Electrical engineering; Channel (broadcasting)","score_opus":0.020945082273838504,"score_gpt":0.2090488301185695,"score_spread":0.188103747844731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1832942760","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012052269,0.00049013266,0.39919865,0.0000025336574,0.00011196319,0.0004913426,0.00037564215,0.0004673903,0.59886116],"genre_scores_gemma":[0.0062951604,0.0006581293,0.0059046876,0.000015608259,0.00014250856,0.000025028055,0.0003873149,0.00014941042,0.9864222],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991949,0.00002171407,0.00020571538,0.00023619983,0.000096124,0.00024533563],"domain_scores_gemma":[0.9985742,0.000089129106,0.00012179371,0.00084029825,0.0002646418,0.00010995742],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006268481,0.0003361494,0.00035040095,0.00015816535,0.00020515309,0.000022662336,0.00052138686,0.00034585767,0.000001330645],"category_scores_gemma":[0.0000035879768,0.00042703553,0.00012574258,0.00001017759,0.0001586053,0.000084198124,0.00021477406,0.00024203991,0.000003102896],"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":[0.000014152723,0.000008512596,7.118422e-8,0.000106119216,0.000112661575,0.0000028093275,0.000063200125,0.0034843571,0.00027794117,0.98433167,0.0074970205,0.004101487],"study_design_scores_gemma":[0.00022181451,0.00001996124,9.665272e-8,0.00019384762,0.00013233487,0.00000474359,0.000027697402,0.035902552,0.0039414153,0.00000339132,0.9590822,0.00046996184],"about_ca_topic_score_codex":0.000020211362,"about_ca_topic_score_gemma":0.0000037026873,"teacher_disagreement_score":0.98432827,"about_ca_system_score_codex":0.0003934147,"about_ca_system_score_gemma":0.000034587214,"threshold_uncertainty_score":0.99981815},"labels":[],"label_agreement":null},{"id":"W1852008232","doi":"","title":"Bit Allocation Laws for Multi-Antenna Channel Quantization: Multi-User Case","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantization (signal processing); Codebook; Fading; Telecommunications link; Computer science; Base station; Multiplexing; Channel (broadcasting); Precoding; Control theory (sociology); Mathematics; Mathematical optimization; Algorithm; Telecommunications; MIMO","score_opus":0.03321339897427484,"score_gpt":0.2789398451524432,"score_spread":0.24572644617816836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1852008232","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":[0.005351736,0.000047403522,0.9916496,0.00004096026,0.0013543186,0.00075065583,0.000019632052,0.00066335825,0.00012232293],"genre_scores_gemma":[0.7034555,0.000012798871,0.2937447,0.000030055367,0.00015371748,0.00018261877,0.000074359516,0.000074783195,0.00227143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992303,0.000008870456,0.00027891502,0.00020525492,0.00005849834,0.00021813053],"domain_scores_gemma":[0.9993749,0.000036181904,0.000047128342,0.0002679622,0.00019948342,0.00007434282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001178663,0.00016618114,0.00014566538,0.00007511051,0.00009678906,0.000034595276,0.00008359939,0.00014070599,0.000037779686],"category_scores_gemma":[0.00009196717,0.00016540613,0.000046103974,0.00016953693,0.00001736052,0.0003428875,0.000013636725,0.000107932305,0.000051626892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020568476,0.00021863758,0.00069691543,0.00047560316,0.00010162168,0.00005806717,0.0013377934,0.73958033,0.2409042,0.012337268,0.0016616898,0.0026072788],"study_design_scores_gemma":[0.0008504419,0.000011541196,0.000045386714,0.00001225979,0.000012029558,0.00009412212,0.00016825677,0.9879449,0.008521629,0.00000954986,0.0021093392,0.00022056862],"about_ca_topic_score_codex":0.00005558612,"about_ca_topic_score_gemma":0.0018267508,"teacher_disagreement_score":0.6981038,"about_ca_system_score_codex":0.000029036244,"about_ca_system_score_gemma":0.000009456914,"threshold_uncertainty_score":0.6745066},"labels":[],"label_agreement":null},{"id":"W1871274124","doi":"10.1002/wcm.2331","title":"Graph-based resource allocation algorithms for multiuser downlink MIMO-OFDMA networks","year":2012,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Telecommunications link; MIMO; Computer network; Resource allocation; Algorithm; Distributed computing","score_opus":0.020593868255068773,"score_gpt":0.2662076822044425,"score_spread":0.24561381394937376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871274124","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":[0.018727548,0.0076904274,0.9720361,0.00006262562,0.00018552887,0.00076805125,0.000012549534,0.00039800955,0.00011911774],"genre_scores_gemma":[0.8942778,0.0004844611,0.104374446,0.00004272974,0.00015242131,0.00038819527,0.00021269426,0.000053705844,0.000013517304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990459,0.00006778878,0.00035012708,0.00015274825,0.00006129382,0.00032211732],"domain_scores_gemma":[0.99854463,0.00038879234,0.00010507424,0.0007556574,0.000106782114,0.0000990326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032791935,0.00017412424,0.0001963057,0.00009888025,0.00039854395,0.000045365407,0.00030874173,0.000113519396,0.0000017070105],"category_scores_gemma":[0.00001249998,0.00019153953,0.000054505996,0.0002370867,0.000071227194,0.00017359076,0.000110502624,0.00017617283,0.0000013867196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002660159,0.000052898424,0.0008047243,0.00006335801,0.000023614373,2.7110937e-8,0.00048732263,0.8615019,0.00044316126,0.0004540022,0.00010690959,0.13605948],"study_design_scores_gemma":[0.0004117809,0.000016189686,0.00019567716,0.00011378648,0.00002261746,0.000001757687,0.0002353007,0.9856271,0.000235985,0.000007968599,0.012918251,0.00021354776],"about_ca_topic_score_codex":0.0000146798075,"about_ca_topic_score_gemma":0.0000083428395,"teacher_disagreement_score":0.87555027,"about_ca_system_score_codex":0.00005328255,"about_ca_system_score_gemma":0.000008548393,"threshold_uncertainty_score":0.78107554},"labels":[],"label_agreement":null},{"id":"W1877527202","doi":"10.1109/vetecs.2004.1388929","title":"Linear space-time transmitter and receiver processing and scheduling for the MIMO broadcast channel","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter; MIMO; Computer science; Channel (broadcasting); Precoding; Throughput; Scheduling (production processes); Base station; Electronic engineering; Topology (electrical circuits); Computer network; Telecommunications; Wireless; Mathematics; Electrical engineering; Engineering; Mathematical optimization","score_opus":0.009837096304438523,"score_gpt":0.21965453364876372,"score_spread":0.2098174373443252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1877527202","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":[0.008547232,0.0030190405,0.98656875,0.000717043,0.000043111813,0.00037483269,0.000003043205,0.00017407602,0.0005528803],"genre_scores_gemma":[0.7903709,0.00031693955,0.20737562,0.00012259516,0.00037972128,0.00005007353,0.0000039414626,0.00006281337,0.0013174093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995527,0.0000046484283,0.00012012352,0.00012973757,0.000040177998,0.00015256337],"domain_scores_gemma":[0.99979,0.00005168851,0.000017016031,0.000072635194,0.000032103115,0.000036531554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008407447,0.000109127446,0.00010347074,0.00003313298,0.00009801367,0.000038538143,0.00003649691,0.000053108557,0.000012374024],"category_scores_gemma":[0.000010684694,0.00008062638,0.000015675114,0.00006221673,0.000024254763,0.0002651912,0.0000072563525,0.00006316485,0.000005418512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013311866,0.0000057700004,0.000021756097,0.00019599187,0.000024351926,2.6392266e-7,0.0014906,0.9172946,0.005324832,0.00003313333,0.00018186483,0.07541352],"study_design_scores_gemma":[0.00036326871,0.00000947632,0.000018067247,0.000047941252,0.000015870139,0.000008945738,0.00012882434,0.99151814,0.0029273648,0.00001965369,0.0048245196,0.000117937896],"about_ca_topic_score_codex":0.0000021269107,"about_ca_topic_score_gemma":0.0000048241673,"teacher_disagreement_score":0.78182364,"about_ca_system_score_codex":0.000014557204,"about_ca_system_score_gemma":0.000003798121,"threshold_uncertainty_score":0.32878485},"labels":[],"label_agreement":null},{"id":"W1881130965","doi":"10.1109/twc.2015.2474864","title":"Generalized Cross-Layer Designs for Generic Half-Duplex Multicarrier Wireless Networks With Frequency-Reuse","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies; Ontario Ministry of Economic Development and Innovation","keywords":"Subcarrier; Computer science; Geometric programming; Wireless; Reuse; Wireless network; Physical layer; Distributed computing; Mathematical optimization; Computer network; Orthogonal frequency-division multiplexing; Channel (broadcasting); Telecommunications; Mathematics; Engineering","score_opus":0.06907203272958437,"score_gpt":0.2973066839229378,"score_spread":0.22823465119335343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1881130965","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":[0.03096976,0.00043738593,0.9655207,0.00016963982,0.00048736995,0.0011963949,0.00011319763,0.00088856614,0.00021698252],"genre_scores_gemma":[0.8315058,0.00041801124,0.16573155,0.00006204587,0.0000638131,0.0016942123,0.000095470845,0.0001847629,0.0002443444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981341,0.00015210212,0.0005998412,0.00037367575,0.00022748848,0.0005128278],"domain_scores_gemma":[0.99608195,0.00030361363,0.00012833413,0.0026645558,0.00051057595,0.00031100126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002397622,0.0004232394,0.00042827084,0.00021771611,0.0005725645,0.00013075738,0.0011220932,0.0002581266,0.0000182529],"category_scores_gemma":[0.000013531645,0.00042686047,0.00014109146,0.0006613877,0.00025835962,0.00050919526,0.000009227697,0.00045617597,0.000023572922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061492174,0.00014456404,0.000044221495,0.000028507446,0.00015931956,0.0000011315387,0.00048222483,0.9913006,0.0041512595,0.00045352,0.00019853082,0.0029746452],"study_design_scores_gemma":[0.002061046,0.00010476377,0.000016379105,0.0000767349,0.000115269,0.000016090407,0.00014003286,0.98856705,0.0075266073,0.00005632806,0.0007741192,0.00054558145],"about_ca_topic_score_codex":0.00013331634,"about_ca_topic_score_gemma":0.00069129944,"teacher_disagreement_score":0.80053604,"about_ca_system_score_codex":0.00038467188,"about_ca_system_score_gemma":0.00012029798,"threshold_uncertainty_score":0.9998183},"labels":[],"label_agreement":null},{"id":"W1892028212","doi":"10.1109/pimrc.2001.965409","title":"A theory of multiple-input/multiple-output (MIMO) system for mobile radio communications","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transmitter; Computer science; Channel (broadcasting); MIMO; Transmission (telecommunications); Wireless; Telecommunications; Radio Link Protocol; Mobile radio; Ignorance; Precoding; Electronic engineering; Communications system; Computer network; Engineering","score_opus":0.025331571956464485,"score_gpt":0.2355314931780786,"score_spread":0.2101999212216141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1892028212","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":[0.0018697695,0.0019422076,0.98664755,0.00001119799,0.00023960083,0.001352434,0.00007657495,0.00078739814,0.0070732846],"genre_scores_gemma":[0.91934747,0.00009764825,0.078766085,0.000005719383,0.00004538643,0.00060959824,0.000034122826,0.00006673619,0.0010272615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899566,0.00005851517,0.00047816033,0.00015806634,0.00008673123,0.0002228785],"domain_scores_gemma":[0.9979399,0.00080546556,0.00009371207,0.0009746107,0.0001243173,0.00006200605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020512303,0.00017276933,0.00029420975,0.00011331008,0.00008874882,0.000014337366,0.000376824,0.00010139734,0.00002700849],"category_scores_gemma":[0.00012387428,0.00017055914,0.00010508429,0.0001867371,0.00005452178,0.00017388268,0.00004813606,0.000088562934,0.0000355009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020098641,0.000101596066,0.0006419476,0.00096919254,0.00014669675,6.2616317e-7,0.0016032223,0.9672317,0.0066611343,0.009686374,0.0014507347,0.011486701],"study_design_scores_gemma":[0.00095642306,0.000035397028,0.000022419434,0.00010553873,0.00002580278,0.000008267924,0.0009868914,0.9890008,0.004979249,0.000030872616,0.0036520287,0.00019633895],"about_ca_topic_score_codex":0.000009050409,"about_ca_topic_score_gemma":0.000020092877,"teacher_disagreement_score":0.91747767,"about_ca_system_score_codex":0.00012724705,"about_ca_system_score_gemma":0.0000048189,"threshold_uncertainty_score":0.69552004},"labels":[],"label_agreement":null},{"id":"W1894378508","doi":"10.1109/icc.2015.7248775","title":"Distributed resource allocation in D2D-enabled multi-tier cellular networks: An auction approach","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Resource allocation; Scalability; Computer network; Resource management (computing); Distributed computing; Heterogeneous network; Scheme (mathematics); Throughput; Interference (communication); Radio resource management; Wireless network; Information exchange; Wireless; Channel (broadcasting); Telecommunications","score_opus":0.020995633027443745,"score_gpt":0.21844897099043414,"score_spread":0.1974533379629904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894378508","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":[0.0063780597,0.00017003025,0.9910008,0.000009078756,0.0001780383,0.0003728569,0.000002445904,0.00055266515,0.0013360427],"genre_scores_gemma":[0.95683444,0.0000065812073,0.041725058,0.000009231719,0.00013120765,0.00006835847,0.0007945128,0.00005016763,0.00038044064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908257,0.000067137684,0.00028735635,0.00021991882,0.00010613314,0.00023689754],"domain_scores_gemma":[0.9994938,0.00000952104,0.000039437386,0.00027973973,0.00007144192,0.00010610636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029061676,0.0001488127,0.00015447795,0.000099828845,0.000027907006,0.00003319628,0.000098464574,0.0001424265,0.0000046748423],"category_scores_gemma":[0.000025965604,0.0001553355,0.00001840552,0.0004275645,0.0000129958535,0.00046604298,0.000016150956,0.00013412558,0.000010818851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008848723,0.00004499371,0.00023255161,0.000016114607,0.000005840029,0.0000010107655,0.0002334544,0.9978975,0.0005142316,0.000063715124,0.00048103844,0.0005007074],"study_design_scores_gemma":[0.0007171984,0.000015767813,0.00010809188,0.000011453852,0.0000055761207,0.0000028987868,0.0007543931,0.99632525,0.0007213243,0.000016488202,0.0011384155,0.00018314748],"about_ca_topic_score_codex":0.000058642894,"about_ca_topic_score_gemma":0.00004073483,"teacher_disagreement_score":0.9504564,"about_ca_system_score_codex":0.00028514324,"about_ca_system_score_gemma":0.000010705594,"threshold_uncertainty_score":0.6334398},"labels":[],"label_agreement":null},{"id":"W1894410978","doi":"10.1002/dac.2931","title":"QoS‐aware energy‐efficient resource allocation in OFDM‐based heterogenous cellular networks","year":2015,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Mathematical optimization; Fractional programming; Quality of service; Telecommunications link; Scheduling (production processes); Subgradient method; Efficient energy use; Iterative method; Nonlinear programming; Computer network; Nonlinear system; Algorithm; Mathematics","score_opus":0.01921073358640745,"score_gpt":0.24242436289719974,"score_spread":0.22321362931079228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1894410978","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":[0.0160203,0.006963656,0.9740006,0.00019288361,0.0015832292,0.00016411088,0.0000050995477,0.000077564066,0.0009926021],"genre_scores_gemma":[0.9980967,0.00014272235,0.0012529225,0.000039339564,0.00030809926,0.000021897593,0.00007080544,0.00004016362,0.000027354126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978791,0.00028333583,0.0010438142,0.000101261845,0.000537632,0.00015486883],"domain_scores_gemma":[0.99786234,0.00012864721,0.00051999657,0.00043826556,0.00093570416,0.00011506093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009010724,0.0001559207,0.00025989953,0.0004386492,0.00003197918,0.00010200062,0.0008457152,0.000114565606,0.000003241998],"category_scores_gemma":[0.000064032654,0.00016227427,0.000075286545,0.00026100443,0.000030653988,0.00024513452,0.000052335192,0.00023706525,0.000005733885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035588764,0.000057832003,0.00017124119,0.000005389784,0.000048286987,0.000010515705,0.0002966999,0.99753815,0.00033242427,0.0005509643,0.00046036154,0.00049254275],"study_design_scores_gemma":[0.0007731519,0.000031536838,0.00003112136,0.00032037054,0.000008905282,0.00005224347,0.0006159687,0.98523134,0.0008219095,0.000023317847,0.011946889,0.00014326215],"about_ca_topic_score_codex":0.0000670466,"about_ca_topic_score_gemma":0.00002031622,"teacher_disagreement_score":0.9820764,"about_ca_system_score_codex":0.0007233139,"about_ca_system_score_gemma":0.000070843205,"threshold_uncertainty_score":0.6617353},"labels":[],"label_agreement":null},{"id":"W1899414988","doi":"10.1109/tvt.2017.2691470","title":"Optimal Resource Allocation in Multicast Device-to-Device Communications Underlaying LTE Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multicast; Greedy algorithm; Resource allocation; Telecommunications link; Throughput; Heuristic; Integer programming; Channel allocation schemes; Optimization problem","score_opus":0.021980354346515508,"score_gpt":0.2726848598828297,"score_spread":0.2507045055363142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1899414988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03585269,0.00018543044,0.96059346,0.001323399,0.00021350746,0.0005759232,0.000006064638,0.0008003931,0.00044910455],"genre_scores_gemma":[0.9647512,0.00012346986,0.034608215,0.00006047856,0.000020277286,0.00030246325,0.000008260927,0.00007196066,0.000053704876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987509,0.000048134152,0.00039594824,0.00032425663,0.00010837918,0.0003723842],"domain_scores_gemma":[0.9976968,0.0000739671,0.00009346602,0.0019759317,0.00008367219,0.00007613042],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018079062,0.0002340135,0.00026554448,0.0005786298,0.000540699,0.00006810793,0.0008886419,0.0003949299,0.000006809253],"category_scores_gemma":[0.000029356761,0.00028483855,0.00005826951,0.000503203,0.00014563392,0.0002625245,0.0000128509155,0.00069316954,0.000064925196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008110886,0.0000546878,0.000050883194,0.000017452126,0.000032770567,0.000005375979,0.000103097394,0.97982734,0.0032835228,0.00020535891,0.000011250223,0.01640014],"study_design_scores_gemma":[0.00053821114,0.00004322783,0.00013633593,0.00017470919,0.000031193078,0.000020884367,0.00032397287,0.9886801,0.0076516927,0.00002728276,0.002062809,0.00030953615],"about_ca_topic_score_codex":0.000043262873,"about_ca_topic_score_gemma":0.0006222388,"teacher_disagreement_score":0.92889845,"about_ca_system_score_codex":0.00027309833,"about_ca_system_score_gemma":0.000016303187,"threshold_uncertainty_score":0.99996036},"labels":[],"label_agreement":null},{"id":"W18995374","doi":"10.1007/1-4020-4437-2_30","title":"Multicarrier SDMA System with Reduced Intra-user Cross-correlations","year":2006,"lang":"en","type":"book-chapter","venue":"","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":"Carleton University","funders":"","keywords":"Computer science","score_opus":0.006734142830796785,"score_gpt":0.2069339342394463,"score_spread":0.20019979140864952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W18995374","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00002146937,0.00016292032,0.43088377,0.0000033967729,0.0004505759,0.0004757156,0.000045584264,0.001104754,0.5668518],"genre_scores_gemma":[0.11990633,0.000011515157,0.017580083,0.000008476559,0.0004612245,0.00008004892,0.0002965137,0.00042779517,0.861228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853945,0.000005919092,0.00056529074,0.0003819686,0.00022004322,0.00028734375],"domain_scores_gemma":[0.9989386,0.00004787774,0.0001283189,0.0005720337,0.00020899287,0.000104151724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005436209,0.0005010372,0.00045147777,0.00018902787,0.00009718986,0.00008520803,0.00014811876,0.0005145374,0.00020204546],"category_scores_gemma":[0.000007400917,0.00045341792,0.0000901355,0.00005813747,0.000069864225,0.0002434589,0.000021951744,0.00037516287,0.00033748214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072139123,0.0000029666144,0.000028259843,0.0002381008,0.00011058943,0.000018062634,0.00003675751,0.9305513,0.00007212289,0.06583416,0.002964297,0.00013617291],"study_design_scores_gemma":[0.003459428,0.00015426314,0.00019724233,0.0042790812,0.00064981286,0.00040617242,0.00015240036,0.80819833,0.0015327855,0.0004732533,0.17525677,0.0052404213],"about_ca_topic_score_codex":0.000023713812,"about_ca_topic_score_gemma":0.000048514346,"teacher_disagreement_score":0.41330367,"about_ca_system_score_codex":0.00042009266,"about_ca_system_score_gemma":0.000035919176,"threshold_uncertainty_score":0.99979174},"labels":[],"label_agreement":null},{"id":"W1899904953","doi":"10.1109/mcom.2015.7158275","title":"Cognitive spectrum access in device-to-device-enabled cellular networks","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Cellular network; Cognitive radio; Computer network; Interference (communication); Spectral efficiency; Resource allocation; Radio resource management; Channel (broadcasting); Telecommunications link; Channel allocation schemes; Transmitter; Cellular communication; Resource management (computing); Telecommunications; Wireless; Base station; Wireless network","score_opus":0.050833610534186245,"score_gpt":0.3039787180954807,"score_spread":0.2531451075612945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1899904953","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":[0.015514024,0.0028728961,0.93872315,0.0007118076,0.0007853347,0.0013243739,0.000019932291,0.0007133406,0.039335143],"genre_scores_gemma":[0.99154675,0.00031498185,0.0070352885,0.00013887821,0.00013450543,0.00024560484,0.00013833467,0.00007991422,0.00036571227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986985,0.00013304074,0.00046945893,0.00021518761,0.00012875459,0.0003550898],"domain_scores_gemma":[0.998002,0.00017799424,0.000077980556,0.0013492027,0.00019954616,0.00019331132],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033386028,0.00022322944,0.00028782003,0.00030018188,0.00007922355,0.00009039875,0.001085551,0.000109197324,0.000020807785],"category_scores_gemma":[0.000110821646,0.0002613317,0.00003580528,0.0012804504,0.000049140264,0.0005347893,0.00026668078,0.00036473788,0.0004285199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013493183,0.00006491566,0.0010493646,0.000026269694,0.000021582751,0.000004826665,0.00036778368,0.99490356,0.00037096228,0.00011107965,0.0024382896,0.00062788284],"study_design_scores_gemma":[0.0014411611,0.000044043118,0.0013211739,0.00032622553,0.00003974542,0.000008338983,0.00026468147,0.9792621,0.0013628394,0.00037793626,0.014983246,0.00056849763],"about_ca_topic_score_codex":0.000049797105,"about_ca_topic_score_gemma":0.0013155369,"teacher_disagreement_score":0.97603273,"about_ca_system_score_codex":0.00028217843,"about_ca_system_score_gemma":0.000043967702,"threshold_uncertainty_score":0.9999839},"labels":[],"label_agreement":null},{"id":"W1907013622","doi":"10.1002/wcm.2573","title":"Performance analysis of hexagonal cellular networks in fading channels","year":2015,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fading; Computer science; Hexagonal crystal system; Computer network; Channel (broadcasting); Telecommunications; Topology (electrical circuits); Electrical engineering; Chemistry","score_opus":0.02096215931293486,"score_gpt":0.2451942623310299,"score_spread":0.22423210301809504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907013622","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":[0.6811973,0.0019739307,0.31625527,0.0000030234182,0.000060950984,0.00011457626,0.0000013784331,0.000054072978,0.0003394952],"genre_scores_gemma":[0.99429923,0.0005420686,0.005052309,0.000002785631,0.000017810342,0.00002128274,0.000044564775,0.000014427721,0.0000055062064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934673,0.000043094216,0.00032057444,0.00009725584,0.00005527012,0.00013710115],"domain_scores_gemma":[0.9992654,0.0000892904,0.000074106705,0.00045640903,0.00006841805,0.00004641179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279534,0.0000885638,0.0002414855,0.00024203886,0.00006302761,0.000014586843,0.00022825706,0.000048191636,9.4150977e-7],"category_scores_gemma":[0.000005314301,0.000101203645,0.000029046794,0.0008081837,0.00004517588,0.000102216276,0.00014801747,0.00012490756,3.7859576e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.402659e-7,0.000013800191,0.009065693,0.000019771489,0.000046723562,1.400226e-7,0.001226326,0.97534686,0.00021771339,0.000099635996,0.0000021813553,0.013960197],"study_design_scores_gemma":[0.00015003662,0.000012418863,0.0005947437,0.00007129956,0.000034286608,8.1217104e-7,0.00039195633,0.99843675,0.00011598187,0.00000296441,0.00009387816,0.00009489386],"about_ca_topic_score_codex":0.000026598622,"about_ca_topic_score_gemma":0.000018364144,"teacher_disagreement_score":0.31310195,"about_ca_system_score_codex":0.000051617935,"about_ca_system_score_gemma":0.000008915244,"threshold_uncertainty_score":0.41269648},"labels":[],"label_agreement":null},{"id":"W1910450741","doi":"10.1109/icupc.1995.497133","title":"A cost-effective PCS deployment methodology","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Software deployment; Path loss; Multipath propagation; Computer science; Antenna (radio); Radio propagation; Power (physics); Point (geometry); Process (computing); Electronic engineering; Telecommunications; Wireless; Engineering; Physics; Mathematics","score_opus":0.08842202896959617,"score_gpt":0.30378707061029775,"score_spread":0.21536504164070158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1910450741","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":[0.00048227314,0.0003146733,0.9741078,0.000023129858,0.0002705346,0.0007036827,0.0000010245531,0.00057345664,0.023523431],"genre_scores_gemma":[0.6001226,0.00014879266,0.3951254,0.00014335992,0.00013344848,0.0010485117,0.0000044352178,0.00008211251,0.0031914052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995603,0.000050272527,0.000108618195,0.000098375276,0.000038168942,0.0001442552],"domain_scores_gemma":[0.9996769,0.00013172196,0.0000119664755,0.00012277036,0.00001911741,0.00003751591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008192404,0.000083127794,0.00011604843,0.00004665551,0.00001795429,0.000005700829,0.00004443113,0.000049781862,0.0003256478],"category_scores_gemma":[0.00003984341,0.000078726895,0.000022167333,0.0001005656,0.000008975348,0.000080007405,0.000010621169,0.000058316356,0.00022365278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022329418,0.000015474652,0.00010689793,0.000028268514,0.000044562483,0.000005069719,0.00050185615,0.8961381,0.003471271,0.0014928104,0.0042333687,0.09396011],"study_design_scores_gemma":[0.0005569136,0.00005138458,0.00010179827,0.000013486404,0.000016070195,0.00002913681,0.00012054677,0.9444619,0.026009185,0.00024672446,0.028128726,0.00026413446],"about_ca_topic_score_codex":0.000004669082,"about_ca_topic_score_gemma":0.000011104151,"teacher_disagreement_score":0.59964025,"about_ca_system_score_codex":0.000085053834,"about_ca_system_score_gemma":6.117206e-7,"threshold_uncertainty_score":0.35656148},"labels":[],"label_agreement":null},{"id":"W1912613798","doi":"10.1109/mwc.2015.7306537","title":"User-in-the-loop for hethetnets with backhaul capacity constraints","year":2015,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer science; Heterogeneous network; Computer network; Cellular network; Homogeneous; Distributed computing; Point process; Base station; Wireless network; Wireless; Telecommunications","score_opus":0.06075863494266895,"score_gpt":0.2772522229315397,"score_spread":0.21649358798887078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1912613798","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":[0.115771875,0.00032906758,0.8717358,0.00059047894,0.00026197798,0.0019320111,0.000085752814,0.00038268528,0.008910322],"genre_scores_gemma":[0.96381307,0.000046956426,0.035316676,0.000050271774,0.00002690243,0.0006037344,0.000042599804,0.00003798854,0.00006180799],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922895,0.0000937848,0.0002458993,0.000116816074,0.00010677868,0.00020775502],"domain_scores_gemma":[0.99819,0.00025841215,0.000055806806,0.0012850451,0.00014615762,0.000064562875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000297495,0.00013746535,0.00016775707,0.00006603071,0.000106482024,0.000035365534,0.00072739035,0.00007073422,0.0000020899388],"category_scores_gemma":[0.000028393899,0.000116546296,0.000029352272,0.00026290162,0.00021184275,0.0001987173,0.000023302946,0.00019999122,0.00001682932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030236455,0.00024976916,0.0016629215,0.00013202114,0.00009452219,0.000002955127,0.007398061,0.948334,0.0020375308,0.027662804,0.0034356622,0.008959558],"study_design_scores_gemma":[0.004649119,0.0001749216,0.0005804036,0.00042172222,0.00008213837,0.00015803867,0.005565553,0.94604367,0.0036491258,0.0018920348,0.03564951,0.0011337408],"about_ca_topic_score_codex":0.000026815977,"about_ca_topic_score_gemma":0.0007077271,"teacher_disagreement_score":0.8480412,"about_ca_system_score_codex":0.00010389416,"about_ca_system_score_gemma":0.000040549457,"threshold_uncertainty_score":0.475262},"labels":[],"label_agreement":null},{"id":"W1917209212","doi":"10.1186/s13638-015-0452-9","title":"Enabling 5G mobile wireless technologies","year":2015,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Huawei Technologies (Canada); InterDigital (Canada); Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Wireless; Wireless network; Exploit; Computer network; MIMO; Gigabit; Key (lock); Telecommunications; Channel (broadcasting); Computer security","score_opus":0.03797132300804266,"score_gpt":0.2690961865440978,"score_spread":0.23112486353605513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917209212","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":[0.3339753,0.15020409,0.48527375,0.0015371088,0.0036972044,0.0012750316,0.000011413238,0.004174178,0.019851916],"genre_scores_gemma":[0.9712412,0.024352226,0.004060116,0.00002892241,0.00018832505,0.000039499326,0.0000066956,0.000051556402,0.000031494164],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989671,0.00009262831,0.00039236844,0.0001295456,0.00014281446,0.00027554997],"domain_scores_gemma":[0.9987224,0.00017826438,0.00014659783,0.0006894538,0.00012268874,0.00014061677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004323989,0.00018517082,0.00023558293,0.00018486386,0.00039736257,0.0001599784,0.00054033013,0.00010991042,0.0000014318564],"category_scores_gemma":[0.00002234287,0.00017681108,0.000040832343,0.00036805685,0.00009535071,0.00028951882,0.00012246451,0.00064683496,0.000007901159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016962742,0.000055919296,0.0013687338,0.000029137873,0.00007724323,0.0000137025045,0.0011153199,0.31939387,0.0010512312,0.0020971757,0.00090598926,0.67387474],"study_design_scores_gemma":[0.001016813,0.00019231616,0.000026007765,0.0009241645,0.000036110854,0.0004092065,0.0043842047,0.8649637,0.00079842284,0.0017558483,0.12484036,0.00065285474],"about_ca_topic_score_codex":0.0000019581166,"about_ca_topic_score_gemma":0.0000071209142,"teacher_disagreement_score":0.6732218,"about_ca_system_score_codex":0.00013409673,"about_ca_system_score_gemma":0.000027582666,"threshold_uncertainty_score":0.7210147},"labels":[],"label_agreement":null},{"id":"W1917825521","doi":"10.1002/dac.2524","title":"Green cell association for multimedia transmission in cognitive heterogeneous networks","year":2013,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Energy consumption; Heterogeneous network; Throughput; Computer network; Transmission (telecommunications); Macro; Efficient energy use; Cognitive radio; Wireless network; Wireless; Multimedia; Telecommunications","score_opus":0.01270208515496697,"score_gpt":0.25900864935488555,"score_spread":0.2463065641999186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1917825521","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":[0.01903896,0.005912331,0.971735,0.00023936927,0.0012390503,0.0008586511,0.000016137663,0.000056411835,0.00090405776],"genre_scores_gemma":[0.99502426,0.0008603736,0.003571362,0.000018760275,0.00019628015,0.000093019735,0.00004843788,0.000028824481,0.0001586494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985832,0.0001198177,0.00082106516,0.000070729315,0.00027148225,0.00013372028],"domain_scores_gemma":[0.99761814,0.00053823163,0.0005161268,0.00012561672,0.0011430276,0.000058860227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047881968,0.00011350381,0.00021906328,0.0002390288,0.000028358372,0.00008204953,0.00041026445,0.00012406241,0.000014833488],"category_scores_gemma":[0.00007318003,0.00011388767,0.000083953106,0.00010570239,0.0000102401555,0.00050320907,0.000018246274,0.00019622999,0.0000092137425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025615027,0.00004264115,0.0008879238,0.000010790843,0.000094374846,0.0000012556549,0.0005149957,0.987731,0.00088045734,0.00002277006,0.00035446757,0.00943372],"study_design_scores_gemma":[0.0013308655,0.000036786067,0.00044922752,0.0004002259,0.000018209344,0.000021057946,0.00032390037,0.9946198,0.0008614992,0.00013923284,0.001662378,0.00013682165],"about_ca_topic_score_codex":0.00007794127,"about_ca_topic_score_gemma":0.0000123536065,"teacher_disagreement_score":0.97598535,"about_ca_system_score_codex":0.0004324116,"about_ca_system_score_gemma":0.000019314417,"threshold_uncertainty_score":0.46442044},"labels":[],"label_agreement":null},{"id":"W1919101551","doi":"10.1109/usnc-ursi.2015.7303550","title":"A method for characterizing distributed antenna system channels using a single-channel receiver","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microcell; MIMO; Computer science; 3G MIMO; Path loss; Antenna (radio); Channel (broadcasting); Electronic engineering; Communications system; Multi-user MIMO; Wireless; Fading; Computer network; Telecommunications; Engineering","score_opus":0.0629969785945971,"score_gpt":0.2749146612235366,"score_spread":0.21191768262893948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919101551","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":[0.0022613127,0.00011443819,0.99431455,0.00002259018,0.0011756145,0.0006894286,0.00009152229,0.0010220082,0.00030854275],"genre_scores_gemma":[0.6617803,0.0000023094617,0.3373371,0.000023615657,0.00037545754,0.00010166683,0.00013712057,0.00011490954,0.00012750457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988497,0.000041365805,0.00036829154,0.00024978965,0.000112593196,0.00037826409],"domain_scores_gemma":[0.999228,0.0000656692,0.000089039895,0.00021335192,0.00024312266,0.00016082467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033914583,0.00022855814,0.000343682,0.00012025682,0.00006372588,0.00006315243,0.00010974946,0.0001228304,0.0000024334545],"category_scores_gemma":[0.00007625801,0.00022817144,0.00006977118,0.0002728247,0.000009630146,0.00040937102,0.000028080723,0.00007209434,0.000009718912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049969116,0.000026060145,0.000010685777,0.00054472795,0.00009391801,0.0000084487165,0.0008722296,0.8311295,0.1658632,0.000381692,0.00036048747,0.00065907225],"study_design_scores_gemma":[0.000618888,0.000037815273,0.0000014758857,0.00021043373,0.000028308266,0.000059689315,0.0009850399,0.98516697,0.01179562,0.000041576204,0.0007732628,0.00028094038],"about_ca_topic_score_codex":0.000022015161,"about_ca_topic_score_gemma":0.0000026555258,"teacher_disagreement_score":0.659519,"about_ca_system_score_codex":0.0005019539,"about_ca_system_score_gemma":0.000018174545,"threshold_uncertainty_score":0.9304561},"labels":[],"label_agreement":null},{"id":"W1919929564","doi":"10.1002/wcm.1207","title":"Mobile‐to‐mobile MIMO transmit–receive diversity systems: analysis and performance in three‐dimensional double‐correlated channels","year":2011,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"MIMO; Computer science; Fading; Rayleigh fading; Spatial correlation; Antenna (radio); Cumulative distribution function; Probability density function; Angle of arrival; Topology (electrical circuits); Telecommunications; Algorithm; Channel (broadcasting); Mathematics; Statistics","score_opus":0.020484338759348446,"score_gpt":0.2271493763459649,"score_spread":0.20666503758661647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1919929564","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":[0.9072298,0.003642485,0.08724954,0.0000018771304,0.00014131833,0.0012335869,0.00001252129,0.00019666382,0.00029225097],"genre_scores_gemma":[0.99335873,0.0009719171,0.005148001,0.000006594803,0.000015476033,0.00040898047,0.000044261782,0.000029598474,0.000016427719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987711,0.0000690663,0.00045939765,0.00030595495,0.00010881641,0.00028568148],"domain_scores_gemma":[0.99885225,0.00010660371,0.00009835847,0.00070023676,0.00011720146,0.00012536423],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029792433,0.00022958386,0.000417759,0.00041251737,0.00047191003,0.000041108236,0.00038689986,0.00012213865,0.0000058778273],"category_scores_gemma":[0.0000021827811,0.00025116038,0.00005171695,0.0009607239,0.000095605064,0.00023581549,0.000528775,0.00027773585,0.0000049587816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002407061,0.00007004661,0.033066805,0.00010744122,0.00016154887,0.0000013925414,0.007845458,0.94297117,0.000121660254,0.00009777406,0.000002329564,0.015530286],"study_design_scores_gemma":[0.0005695578,0.000120898345,0.005705239,0.00020887988,0.00010409104,0.000008608204,0.0008225877,0.9919523,0.00009440165,0.0000056919675,0.000117778465,0.00028993734],"about_ca_topic_score_codex":0.0005030285,"about_ca_topic_score_gemma":0.00023733231,"teacher_disagreement_score":0.08612899,"about_ca_system_score_codex":0.000087419685,"about_ca_system_score_gemma":0.000011832464,"threshold_uncertainty_score":0.99999404},"labels":[],"label_agreement":null},{"id":"W1921072197","doi":"10.1002/wcm.2504","title":"Uplink bit combining for multiple base‐stations MIMO with applications to CoMP systems","year":2014,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); McGill University","funders":"","keywords":"Computer science; MIMO; Rayleigh fading; Base station; Bit error rate; Telecommunications link; Overhead (engineering); Fading; Decoding methods; Algorithm; Computer engineering; Real-time computing; Computer network; Electronic engineering; Channel (broadcasting)","score_opus":0.01639573705280674,"score_gpt":0.2527843296719126,"score_spread":0.2363885926191059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1921072197","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":[0.017769715,0.00057787145,0.97857666,0.000058035363,0.00007969988,0.0019906983,0.000032208005,0.0004734095,0.00044170683],"genre_scores_gemma":[0.81535506,0.00005786143,0.1824849,0.000026142008,0.00004919017,0.001771469,0.0001748695,0.00005753647,0.000022938966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989671,0.000056491193,0.0004052122,0.00024536496,0.000072258386,0.0002535676],"domain_scores_gemma":[0.9977554,0.0007936455,0.00009278544,0.001002894,0.00022894371,0.0001263119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025571822,0.00018876311,0.00027345927,0.00014150991,0.0006667904,0.00010986491,0.00038968545,0.000060826136,6.4521646e-7],"category_scores_gemma":[0.000020414056,0.00019905042,0.000030362824,0.00034507425,0.00006724157,0.00011344802,0.00013960253,0.00014120678,0.0000066000794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033841611,0.000041754243,0.0005817295,0.00016708724,0.000029961831,4.1877154e-8,0.0006700392,0.9618647,0.00086340745,0.012130924,0.000074225056,0.023572758],"study_design_scores_gemma":[0.0005315886,0.00006637122,0.00007113219,0.00018845795,0.00002019637,0.0000074028144,0.0007227379,0.9826026,0.00007664822,0.000031635558,0.015435178,0.0002460808],"about_ca_topic_score_codex":0.0000390826,"about_ca_topic_score_gemma":0.000057357905,"teacher_disagreement_score":0.79758537,"about_ca_system_score_codex":0.000060279835,"about_ca_system_score_gemma":0.000015703246,"threshold_uncertainty_score":0.8117041},"labels":[],"label_agreement":null},{"id":"W1922004413","doi":"10.1109/twc.2015.2450216","title":"Stochastic Analysis of Uplink Interference in Two-Tier Femtocell Networks: Open Versus Closed Access","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Bell Canada Enterprises","keywords":"Macrocell; Femtocell; Telecommunications link; Stochastic geometry; Computer science; Correctness; Interference (communication); Computer network; Upper and lower bounds; Coverage probability; Stochastic geometry models of wireless networks; Mathematical optimization; Wireless network; Telecommunications; Wireless; Mathematics; Algorithm; Radio resource management; Base station; Statistics; Channel (broadcasting)","score_opus":0.0827207550593239,"score_gpt":0.3459061694794322,"score_spread":0.2631854144201083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922004413","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":[0.0072318367,0.00016594,0.9902151,0.000046544086,0.00038257873,0.00055501144,0.000032036456,0.00013685322,0.0012340815],"genre_scores_gemma":[0.9942229,0.00018108805,0.005133441,0.000009762108,0.000007961474,0.00030305702,0.00005468318,0.000041234893,0.000045875826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987707,0.00012981263,0.0005674198,0.00021051639,0.000110490575,0.00021104196],"domain_scores_gemma":[0.9975706,0.00038221249,0.00012373271,0.0016368262,0.00017914792,0.00010751922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023212479,0.00019439394,0.00043179956,0.00063091976,0.00009569996,0.00007842631,0.0017962605,0.00008467749,0.000023527482],"category_scores_gemma":[0.000010596519,0.00022565507,0.000094667295,0.0023308017,0.00009837776,0.00055126613,0.000028767341,0.00038745697,0.000009336464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008216274,0.00015327129,0.000047741516,0.0000092026485,0.00028682066,2.5148674e-7,0.00054924324,0.9932472,0.00007770962,0.00016389218,0.000013921867,0.0053685885],"study_design_scores_gemma":[0.0013601424,0.000037225953,0.00006969344,0.00008419569,0.00027064778,3.6218478e-7,0.00022027065,0.9973246,0.00038497662,0.000032649838,0.000012359136,0.00020286236],"about_ca_topic_score_codex":0.00043251933,"about_ca_topic_score_gemma":0.004838791,"teacher_disagreement_score":0.98699105,"about_ca_system_score_codex":0.00027426428,"about_ca_system_score_gemma":0.00005904548,"threshold_uncertainty_score":0.9201946},"labels":[],"label_agreement":null},{"id":"W1922557894","doi":"10.1109/icc.2005.1494743","title":"On the achievable spectral efficiency of adaptive transmission with transmit-beamforming","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Spectral efficiency; MIMO; Rayleigh fading; Beamforming; Independent and identically distributed random variables; Wishart distribution; Precoding; Computer science; Transmission (telecommunications); Probability density function; Channel capacity; Fading; Topology (electrical circuits); Control theory (sociology); Mathematics; Channel (broadcasting); Mathematical optimization; Telecommunications; Random variable; Statistics","score_opus":0.006248697692008202,"score_gpt":0.18622443352140572,"score_spread":0.17997573582939752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1922557894","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":[0.023917533,0.00008319319,0.93651724,0.00012465389,0.000021041036,0.00026025015,0.0000015662043,0.0001443781,0.03893016],"genre_scores_gemma":[0.9606226,0.00001609397,0.038973775,0.000017546281,0.000030854568,0.000009823904,0.0000010863102,0.000024616575,0.0003035684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994325,0.000010945261,0.00016442746,0.00010037494,0.00012304868,0.00016872291],"domain_scores_gemma":[0.99972534,0.00006165168,0.000022727407,0.0001385145,0.000019612864,0.00003215248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008095244,0.00011567281,0.00011594687,0.000046927402,0.00004857892,0.0000055999258,0.00009370627,0.000034438002,0.00010870112],"category_scores_gemma":[0.0000027336573,0.00006628925,0.000032578642,0.00017545962,0.000024622486,0.00014254324,0.000001833387,0.00010069556,0.000009256818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032405915,0.000016512528,0.0000021615929,0.000015778847,0.000010496709,3.1938404e-7,0.0005452614,0.9790197,0.0068700262,0.0068575214,0.00002865047,0.0066011767],"study_design_scores_gemma":[0.00043856082,0.000226551,0.000013545306,0.00011721747,0.00001303344,0.0000061419964,0.00025711095,0.8037786,0.19411892,0.00011735476,0.00075288373,0.00016008459],"about_ca_topic_score_codex":0.0000061617116,"about_ca_topic_score_gemma":0.000012526435,"teacher_disagreement_score":0.9367051,"about_ca_system_score_codex":0.000043860928,"about_ca_system_score_gemma":0.000009657578,"threshold_uncertainty_score":0.27031973},"labels":[],"label_agreement":null},{"id":"W1923874836","doi":"10.1109/ficloud.2015.70","title":"User Association for HetNet Small Cell Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Heterogeneous network; Voronoi diagram; Macro; Throughput; Femtocell; Computer network; Distributed computing; Software deployment; Focus (optics); Cellular network; Stochastic geometry; Association scheme; Base station; Wireless network; Wireless; Telecommunications","score_opus":0.013886025421407135,"score_gpt":0.20549632663339015,"score_spread":0.19161030121198303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1923874836","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":[0.0007614984,0.000118028205,0.97595793,0.000014343647,0.0005486889,0.0002403347,0.000002471329,0.00033930136,0.022017427],"genre_scores_gemma":[0.84486157,0.000023167597,0.12052965,0.00007854659,0.0005385553,0.00011633958,0.000087116074,0.00008591702,0.03367912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960786,0.000007725278,0.000118061915,0.00007152712,0.000044278582,0.00015054645],"domain_scores_gemma":[0.9997079,0.00004463453,0.000028674067,0.0000845165,0.000082777886,0.000051516316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014446353,0.00006680117,0.00007977722,0.000021377025,0.000013547398,0.00001789816,0.000042300864,0.00008509037,0.000006283317],"category_scores_gemma":[0.00003371493,0.000068548296,0.000021092324,0.00006499115,0.0000012664582,0.00009586479,0.000006557884,0.000039671846,0.000023822811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001675686,0.0000033545043,0.00066241244,0.0000100823745,0.000005639627,7.188168e-8,0.00003836306,0.9755932,0.000052809184,0.00014732406,0.023333587,0.00015145881],"study_design_scores_gemma":[0.00045201898,0.000014620262,0.000022775019,0.000003778986,0.0000071228746,2.505594e-7,0.000037782153,0.96951216,0.00088355545,0.0000891125,0.02886925,0.00010754094],"about_ca_topic_score_codex":0.0000054808716,"about_ca_topic_score_gemma":0.000026247733,"teacher_disagreement_score":0.8554283,"about_ca_system_score_codex":0.00019115297,"about_ca_system_score_gemma":0.000005932377,"threshold_uncertainty_score":0.27953184},"labels":[],"label_agreement":null},{"id":"W1942242957","doi":"10.1002/dac.2329","title":"Performance analysis of decision directed maximum likelihood MIMO channel tracking algorithm","year":2012,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Channel (broadcasting); Computer science; Algorithm; MIMO; Tracking (education); Mode (computer interface); Doppler effect; Bit error rate; Word error rate; Telecommunications; Speech recognition","score_opus":0.015813951116228624,"score_gpt":0.2699696193771431,"score_spread":0.25415566826091446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942242957","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":[0.117605895,0.008016009,0.8710539,0.000029932402,0.002169545,0.0001520152,0.000029547793,0.00008620147,0.00085697],"genre_scores_gemma":[0.98007804,0.0017784062,0.017847743,0.0000053693398,0.0002075504,0.0000082290435,0.000038933886,0.000026360085,0.000009391352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794924,0.00011017403,0.0011679195,0.00006543062,0.0005409137,0.00016629067],"domain_scores_gemma":[0.99719095,0.00024238662,0.00079824915,0.00037240444,0.0013058733,0.0000901504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091063045,0.0001384688,0.00040780078,0.0009313813,0.00004250843,0.000047857633,0.0007214227,0.00008742862,0.000014660842],"category_scores_gemma":[0.000086579355,0.00013319666,0.0001694906,0.0006544019,0.000025546316,0.0009890645,0.000055378296,0.00018866832,0.000006338666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030067176,0.00010001163,0.0047038365,0.000016745262,0.0017297639,0.0000012555005,0.0012534431,0.92663574,0.0010679857,0.000084258674,0.00011374051,0.06426315],"study_design_scores_gemma":[0.0004415074,0.000027014017,0.009070873,0.0004789391,0.00026931244,0.000075638876,0.00047024756,0.98622334,0.0014821428,0.000053952856,0.0012346809,0.0001723498],"about_ca_topic_score_codex":0.00001715933,"about_ca_topic_score_gemma":0.0000039148845,"teacher_disagreement_score":0.8624721,"about_ca_system_score_codex":0.00022649163,"about_ca_system_score_gemma":0.000019792906,"threshold_uncertainty_score":0.54316026},"labels":[],"label_agreement":null},{"id":"W1942732369","doi":"10.1109/mwc.2015.7224724","title":"User-provided networking for QoE provisioning in mobile networks","year":2015,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Provisioning; Computer network; Quality of experience; Mobile computing; Mobile telephony; Telecommunications; Quality of service; Mobile radio","score_opus":0.03560960046117807,"score_gpt":0.2854629649371249,"score_spread":0.24985336447594686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1942732369","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":[0.012155636,0.0039726505,0.97945285,0.000057631994,0.0010460095,0.0015054486,0.000007160838,0.00057803775,0.0012245574],"genre_scores_gemma":[0.9724943,0.00047647176,0.025118543,0.000022090873,0.00022033654,0.001429993,0.00007882526,0.00007765355,0.00008179525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895036,0.00007284923,0.0004248903,0.00016442359,0.0000829982,0.00030448276],"domain_scores_gemma":[0.99827105,0.0002797943,0.00008523771,0.0011429653,0.00012896932,0.00009196004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032676253,0.00015873747,0.00022796194,0.00011295776,0.0001351161,0.00005392199,0.00061790016,0.000120865945,7.461315e-7],"category_scores_gemma":[0.000030513022,0.00018434502,0.00004416162,0.0004199058,0.000038082617,0.0003136747,0.00008833701,0.00025200334,0.000006623933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005570941,0.00002386851,0.0005632453,0.000020598052,0.000010096748,2.8151157e-7,0.00042504177,0.9885972,0.0001866036,0.0004332944,0.0006848907,0.0090493085],"study_design_scores_gemma":[0.00055389525,0.000021349617,0.000028316148,0.00015089705,0.000008019065,0.000002119456,0.0003404005,0.9830355,0.00013152452,0.00013666922,0.01538843,0.00020287806],"about_ca_topic_score_codex":0.000026942802,"about_ca_topic_score_gemma":0.00034389447,"teacher_disagreement_score":0.96033865,"about_ca_system_score_codex":0.0002293368,"about_ca_system_score_gemma":0.000041146122,"threshold_uncertainty_score":0.7517371},"labels":[],"label_agreement":null},{"id":"W1944087071","doi":"10.1109/access.2015.2464352","title":"Resource Allocation Optimization in Multi-User Multi-Cell Massive MIMO Networks Considering Pilot Contamination","year":2015,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Mathematical optimization; Maximization; Computer science; Resource allocation; Optimization problem; Iterative method; Convex optimization; Convergence (economics); MIMO; Regular polygon; Channel (broadcasting); Algorithm; Mathematics","score_opus":0.04839153819027213,"score_gpt":0.2819152275037988,"score_spread":0.23352368931352668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1944087071","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":[0.007282914,0.000376921,0.98989606,0.000030407058,0.0007086309,0.0007121219,0.0000033243396,0.00036930185,0.00062030426],"genre_scores_gemma":[0.95441705,0.000054150583,0.044762515,0.000053062166,0.00010521938,0.00013607727,0.00008710144,0.00008865336,0.0002961806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986682,0.00009108123,0.00047642252,0.00030013284,0.00015974206,0.00030444143],"domain_scores_gemma":[0.9991635,0.00008045477,0.0001522477,0.00027372074,0.000216565,0.0001135226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026826563,0.00023514488,0.00023707416,0.00024380295,0.000050588456,0.0001215909,0.0002367611,0.00015136223,0.0000073189867],"category_scores_gemma":[0.00010562915,0.00027771515,0.000024399533,0.0004477454,0.00002757392,0.00116364,0.00004086965,0.00020288579,0.000013344647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018706749,0.00006737964,0.0014539146,0.0000448573,0.000008775253,0.0000065772383,0.0003636156,0.9968586,0.0004455401,0.000015404952,0.00034739447,0.00036924722],"study_design_scores_gemma":[0.002563858,0.000027780592,0.00034678797,0.00008990306,0.000011751268,0.0000028590616,0.00023267845,0.9926326,0.0035096963,0.0000037966984,0.0002814458,0.00029680078],"about_ca_topic_score_codex":0.00008290121,"about_ca_topic_score_gemma":0.0002901122,"teacher_disagreement_score":0.94713414,"about_ca_system_score_codex":0.00039000847,"about_ca_system_score_gemma":0.000029636141,"threshold_uncertainty_score":0.9999675},"labels":[],"label_agreement":null},{"id":"W1945933114","doi":"","title":"Spectrum sharing LTE-advanced small cell systems","year":2013,"lang":"en","type":"article","venue":"Wireless Personal Multimedia Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Small cell; Inefficiency; Interference (communication); Spectral efficiency; Computer network; Spectrum (functional analysis); Spectrum management; Cognitive radio; Telecommunications; Cellular network; Distributed computing; Wireless; Physics","score_opus":0.019677006103539434,"score_gpt":0.2266574874604201,"score_spread":0.20698048135688069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1945933114","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":[0.56346136,0.014335244,0.35854188,0.0013177616,0.002943819,0.0055729197,0.00018011323,0.005137327,0.048509534],"genre_scores_gemma":[0.9645457,0.0006300051,0.03287577,0.000021040836,0.000105677595,0.0007861219,0.00015256827,0.00010900288,0.0007741144],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986001,0.000054357788,0.00046163236,0.0002858373,0.0001597712,0.0004382796],"domain_scores_gemma":[0.9979481,0.00023412997,0.00010900153,0.0013868328,0.00013140481,0.00019054629],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010966878,0.00028877007,0.0003050572,0.00014969293,0.0002561782,0.00012501456,0.0010515897,0.00013792048,0.000077908655],"category_scores_gemma":[0.000024634171,0.0003223025,0.00008305537,0.00031669458,0.00010517763,0.00044649793,0.00022584398,0.0004207095,0.0006875673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017628141,0.00058955164,0.007437428,0.0011214473,0.00031383274,0.000007971305,0.016826253,0.8080362,0.12043474,0.003546868,0.0020376123,0.03963048],"study_design_scores_gemma":[0.00049211696,0.000011984,0.0005413767,0.00010998922,0.000016392925,0.0000076434535,0.0012981774,0.99534386,0.0008363372,0.000045698627,0.00092975405,0.000366692],"about_ca_topic_score_codex":0.0002833859,"about_ca_topic_score_gemma":0.00014286129,"teacher_disagreement_score":0.4010843,"about_ca_system_score_codex":0.00023795711,"about_ca_system_score_gemma":0.000025958738,"threshold_uncertainty_score":0.99992293},"labels":[],"label_agreement":null},{"id":"W1952504402","doi":"10.1002/wcm.2389","title":"Information‐guided communications in MIMO systems with channel state impairments","year":2013,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Channel (broadcasting); Channel state information; Transmitter; MIMO; Antenna diversity; Precoding; Antenna (radio); Ideal (ethics); Electronic engineering; Telecommunications; Wireless","score_opus":0.012960442050158586,"score_gpt":0.24105602678978605,"score_spread":0.22809558473962746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1952504402","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":[0.5710495,0.005269737,0.4138121,0.00020637766,0.00021301213,0.0039568706,0.00004897172,0.0009553582,0.0044880523],"genre_scores_gemma":[0.9873612,0.0014185605,0.010363716,0.000022808925,0.000008677992,0.000627431,0.00014642399,0.000030108306,0.000021086977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988869,0.00009502695,0.00057101017,0.000098875826,0.00009117195,0.00025703062],"domain_scores_gemma":[0.9979194,0.0001493988,0.00014478104,0.0015207373,0.00018618284,0.00007953432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019870313,0.00017908325,0.00023655292,0.00019748874,0.00028119833,0.0001693844,0.0006607167,0.00005673525,0.0000020465043],"category_scores_gemma":[0.0000071195245,0.00017778037,0.000018490458,0.00038264,0.000112512105,0.00083016336,0.0003759966,0.00023329727,0.000023414594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018933731,0.000071848925,0.0023782519,0.00019065166,0.00004376075,3.227713e-7,0.0069258744,0.9631751,0.00014709008,0.0005650331,0.0001776867,0.026322467],"study_design_scores_gemma":[0.00047764508,0.000027403006,0.0008486195,0.00025967832,0.0000053271597,0.00002132306,0.0025669625,0.9940224,0.000013426005,0.0000311747,0.0015148221,0.00021119333],"about_ca_topic_score_codex":0.0005434303,"about_ca_topic_score_gemma":0.000081639846,"teacher_disagreement_score":0.41631165,"about_ca_system_score_codex":0.00011790934,"about_ca_system_score_gemma":0.000021916167,"threshold_uncertainty_score":0.72496736},"labels":[],"label_agreement":null},{"id":"W1958619611","doi":"10.1002/wcm.2642","title":"Opportunistic distributed channel access for a dense wireless small‐cell zone","year":2015,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Nash equilibrium; Computer science; Macrocell; Channel (broadcasting); Computer network; Uniqueness; Telecommunications link; Channel state information; Wireless; Telecommunications; Mathematical optimization; Mathematics; Base station","score_opus":0.05708270529540218,"score_gpt":0.286210224937405,"score_spread":0.2291275196420028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1958619611","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":[0.08464851,0.0011932893,0.91239995,0.000044617187,0.0001765306,0.0008072311,0.00009806147,0.00039452733,0.0002372879],"genre_scores_gemma":[0.98393315,0.0004525821,0.014569481,0.00001854703,0.00006122259,0.00031125615,0.00053768064,0.000062282714,0.000053797194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989526,0.000057663812,0.00040851778,0.0002160096,0.0000727599,0.00029242865],"domain_scores_gemma":[0.99827063,0.00027104502,0.00013211257,0.00087787956,0.00025896638,0.0001893441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027787022,0.0002056655,0.0002926369,0.00008860585,0.00030020578,0.0001274435,0.0006275533,0.00009456182,6.517932e-7],"category_scores_gemma":[0.000023972752,0.00020944823,0.000043003893,0.0002472137,0.000083576575,0.00016728313,0.00042034753,0.00016309253,0.0000023169187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003063433,0.00030061722,0.00069275516,0.0007848893,0.00010593875,0.000005196383,0.003578191,0.8122907,0.0019867364,0.0020930273,0.0009508976,0.1771804],"study_design_scores_gemma":[0.000723186,0.000043115404,0.000023807943,0.00011758081,0.000027792597,0.000013417907,0.0008745859,0.9936569,0.00033078963,0.00008702258,0.00382677,0.00027502936],"about_ca_topic_score_codex":0.00003448944,"about_ca_topic_score_gemma":0.00003079931,"teacher_disagreement_score":0.89928466,"about_ca_system_score_codex":0.000101074795,"about_ca_system_score_gemma":0.00004909813,"threshold_uncertainty_score":0.8541051},"labels":[],"label_agreement":null},{"id":"W1960968323","doi":"10.1109/vetecs.2004.1388959","title":"Impact of realistic amplification models on dynamic VBLAST optimization","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"MIMO; Computer science; Predistortion; Amplifier; Constellation; Transmitter; Power (physics); Optimization problem; Control theory (sociology); Transmitter power output; Channel (broadcasting); Electronic engineering; Algorithm; Telecommunications; Engineering; Bandwidth (computing)","score_opus":0.011888053851036216,"score_gpt":0.25930583852042977,"score_spread":0.24741778466939354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1960968323","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":[0.0050193174,0.00002752468,0.9839398,0.000008330911,0.00004364537,0.0001899157,0.000017635613,0.0002739989,0.010479831],"genre_scores_gemma":[0.9393094,0.00005058659,0.060322184,0.000003918737,0.000025155603,0.00001339238,0.000098373064,0.000034624805,0.0001423604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940956,0.000010900925,0.0002563873,0.00011732678,0.00008504194,0.0001208111],"domain_scores_gemma":[0.9995748,0.000025821018,0.00005525694,0.00023349667,0.00007181282,0.000038828726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047641355,0.00011373285,0.00012376174,0.000118971315,0.00001893612,0.000009876372,0.000065867214,0.000059019083,0.000062330495],"category_scores_gemma":[0.00001616529,0.00010642707,0.000043908127,0.00017316586,0.000010587609,0.00028154193,0.0000050167137,0.000047605703,0.000018942159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007031784,0.000019180161,0.000014825581,0.000015150526,0.000013285505,5.6812205e-8,0.000056749323,0.9958935,0.0009289368,0.0011776254,0.00009365869,0.0017800287],"study_design_scores_gemma":[0.00016321224,0.000036529047,0.00015156329,0.00002181251,0.000006177486,0.0000014653837,0.000009501605,0.9992006,0.00018821968,0.00011649606,0.0000043528576,0.0001000725],"about_ca_topic_score_codex":0.000019232664,"about_ca_topic_score_gemma":0.000013924746,"teacher_disagreement_score":0.9342901,"about_ca_system_score_codex":0.0002797296,"about_ca_system_score_gemma":0.000010265141,"threshold_uncertainty_score":0.43399698},"labels":[],"label_agreement":null},{"id":"W1963520269","doi":"10.1109/glocomw.2014.7063609","title":"The impact of user spatial heterogeneity in heterogeneous cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Heterogeneous network; Cellular network; Point process; Base station; Homogeneous; Macro; Process (computing); Telecommunications link; Computer network; Scalability; Poisson point process; Distributed computing; Telecommunications; Wireless network; Mathematics","score_opus":0.005689674714000305,"score_gpt":0.21955877316116157,"score_spread":0.21386909844716126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963520269","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":[0.33909884,0.00012902934,0.66008645,0.0000012354354,0.0001136807,0.00010766915,7.7013095e-7,0.00005657977,0.0004057197],"genre_scores_gemma":[0.99927586,0.000029343399,0.0005649279,0.0000023379025,0.00006595655,0.000009049755,0.000004129479,0.000025911851,0.000022492142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993776,0.000042146563,0.00023972163,0.00008961682,0.00005546184,0.00019546246],"domain_scores_gemma":[0.99959165,0.000061033265,0.000034805646,0.00025429658,0.00002289072,0.000035326404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013823406,0.00010753734,0.00013999185,0.00003073589,0.00002483612,0.00001286501,0.00010834431,0.00006271108,0.000012609185],"category_scores_gemma":[0.000016520527,0.00007358409,0.00006892834,0.000092188326,0.000017891558,0.00005260459,0.000019372925,0.00006946512,0.0000048016154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052295263,0.00000523288,0.0037858994,0.0000051505353,0.0000146948,4.981746e-7,0.000013930468,0.99232095,0.0020927843,0.000025111753,0.000026990432,0.0017035268],"study_design_scores_gemma":[0.00017814654,0.00003134158,0.0014229564,0.000007657602,0.0000020898296,0.0000020806438,0.0000023811458,0.9869976,0.011186296,0.000023625684,0.00006301383,0.000082786064],"about_ca_topic_score_codex":0.00024192882,"about_ca_topic_score_gemma":0.00055527297,"teacher_disagreement_score":0.660177,"about_ca_system_score_codex":0.0000613965,"about_ca_system_score_gemma":0.0000038886337,"threshold_uncertainty_score":0.30006722},"labels":[],"label_agreement":null},{"id":"W1963730427","doi":"10.1109/spawc.2014.6941319","title":"Large-scale MIMO versus network MIMO for multicell interference mitigation","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Beamforming; Telecommunications link; Multi-user MIMO; Duplex (building); Computer science; 3G MIMO; Base station; Spatial multiplexing; Channel state information; Computer network; Electronic engineering; Engineering; Wireless; Telecommunications","score_opus":0.010502556337094198,"score_gpt":0.23116415076742625,"score_spread":0.22066159443033204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963730427","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":[0.0038177713,0.00006673633,0.9848892,0.00001869682,0.0013244216,0.0003311318,0.0000059122035,0.00040756052,0.009138578],"genre_scores_gemma":[0.85006535,0.000009936643,0.14865337,0.000029945295,0.00036478444,0.000078377154,0.000047570953,0.000042795495,0.00070784194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992787,0.000017026754,0.00021054965,0.00016563872,0.00005274516,0.00027532736],"domain_scores_gemma":[0.9994787,0.0001678666,0.000035371017,0.00019786389,0.00006173288,0.000058474416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013439951,0.00012846717,0.000137664,0.000030974705,0.00005634268,0.00002450809,0.00009745219,0.00008043217,0.000041488194],"category_scores_gemma":[0.000053136264,0.00013275586,0.00004246855,0.00009150762,0.000010606575,0.0001704267,0.000016891032,0.000062582476,0.000063919484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032207223,0.000008175656,0.000081983984,0.000073897536,0.00001465102,7.245426e-8,0.00017673349,0.9930805,0.0009927535,0.001773155,0.0024118358,0.0013540402],"study_design_scores_gemma":[0.0011064848,0.000049885643,0.000027513293,0.00003855381,0.000013127222,2.5205753e-7,0.000096627584,0.98185325,0.003143986,0.00019031511,0.013309128,0.00017087777],"about_ca_topic_score_codex":0.0000027012388,"about_ca_topic_score_gemma":0.0001293497,"teacher_disagreement_score":0.8462476,"about_ca_system_score_codex":0.000050259925,"about_ca_system_score_gemma":0.000003704992,"threshold_uncertainty_score":0.5413627},"labels":[],"label_agreement":null},{"id":"W1963809194","doi":"10.1109/wcncw.2012.6215473","title":"Femtocell networks: Breaking the complexity of centralized processing with novel dual-stage receivers","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Femtocell; Computer science; Decoding methods; Computer network; Femto-; Base station; Dual (grammatical number); Exploit; Multiuser detection; Distributed computing; Telecommunications; Code division multiple access; Computer security","score_opus":0.03352546855264448,"score_gpt":0.23705306636386186,"score_spread":0.20352759781121738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963809194","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":[0.007323967,0.00026902166,0.98295945,0.000019918658,0.0001321848,0.00030106652,0.000005902259,0.0002259502,0.008762518],"genre_scores_gemma":[0.9678769,0.0000142135295,0.031768557,0.000016630825,0.000077376964,0.000008664824,0.000008986777,0.000034331013,0.00019433192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992956,0.000015109158,0.00019888241,0.00008694719,0.00010547908,0.00029801315],"domain_scores_gemma":[0.9996127,0.000029627703,0.00008806367,0.00016568012,0.000051987878,0.000051969753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013685806,0.00012888394,0.00015723368,0.000027526392,0.00007213311,0.000018428687,0.000081075894,0.00004269551,0.000045599983],"category_scores_gemma":[0.000007109433,0.0000860863,0.000023195535,0.00023386917,0.000097947945,0.0003427796,0.000017009128,0.00009486907,0.0000016264435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014793317,0.000019461206,0.0014542094,0.00010095339,0.000021168526,2.3204429e-7,0.0006205725,0.9943804,0.0012309804,0.0016027918,0.00006108413,0.00049330934],"study_design_scores_gemma":[0.0007963921,0.000013872391,0.0015276824,0.00013762097,0.000030082932,0.000014651177,0.0010305617,0.9917346,0.0030914508,0.000011336925,0.0013620136,0.00024968127],"about_ca_topic_score_codex":0.000041619427,"about_ca_topic_score_gemma":0.000032307627,"teacher_disagreement_score":0.96055293,"about_ca_system_score_codex":0.00005583348,"about_ca_system_score_gemma":0.0000083873365,"threshold_uncertainty_score":0.35104975},"labels":[],"label_agreement":null},{"id":"W1964128660","doi":"10.1109/icc.2013.6655348","title":"Sum-rate maximization in the multicell MIMO broadcast channel with interference coordination","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Maximization; Computer science; Precoding; Base station; Interference (communication); Dirty paper coding; Cellular network; Optimization problem; Channel (broadcasting); Covariance; Single antenna interference cancellation; Mathematical optimization; Algorithm; Computer network; Mathematics","score_opus":0.009712207387581972,"score_gpt":0.1967219554897558,"score_spread":0.18700974810217383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964128660","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":[0.038457673,0.000044630095,0.9546333,0.00013692559,0.000106714084,0.0006547619,0.0000011682168,0.00018306168,0.00578177],"genre_scores_gemma":[0.99532026,0.000017228416,0.0039117294,0.000049423223,0.000025174277,0.00013981339,0.0000215186,0.000024433986,0.0004904188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999421,0.00004249093,0.00018046274,0.00012830624,0.00006847149,0.000159263],"domain_scores_gemma":[0.9996308,0.000051996387,0.00003539508,0.00017023615,0.00008883718,0.000022704333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010982147,0.000121465964,0.00009313831,0.0000913563,0.000029616975,0.0000644635,0.00012441176,0.000046489968,0.00006513718],"category_scores_gemma":[0.000021779537,0.000082260434,0.000010282985,0.00029861546,0.0000161066,0.00050603185,0.000010553665,0.00009282027,0.000100432946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041693233,0.000016780583,0.00028232887,0.000033796954,0.000004917634,9.74798e-7,0.00091040204,0.9950146,0.0016095941,0.00021190163,0.0002671935,0.0016433594],"study_design_scores_gemma":[0.00036350577,0.000027599102,0.0012251838,0.00004595753,0.0000037415023,0.0000033588465,0.0007847258,0.995729,0.00152116,0.00007026954,0.000088826004,0.00013661916],"about_ca_topic_score_codex":0.00013851562,"about_ca_topic_score_gemma":0.00019179736,"teacher_disagreement_score":0.95686257,"about_ca_system_score_codex":0.000052825813,"about_ca_system_score_gemma":0.000004513856,"threshold_uncertainty_score":0.33544832},"labels":[],"label_agreement":null},{"id":"W1964202818","doi":"10.3390/electronics3030538","title":"Optimal Power Allocation for MIMO-MAC in Cognitive Radio Networks","year":2014,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Lagrange multiplier; Mathematical optimization; MIMO; Optimization problem; Maximization; Computation; Quality of service; Inner loop; Transmitter power output; Throughput; Wireless; Channel (broadcasting); Computer network; Mathematics; Algorithm; Telecommunications; Transmitter","score_opus":0.005107785358842423,"score_gpt":0.22353838088228747,"score_spread":0.21843059552344504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964202818","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":[0.008863568,0.0054476312,0.98388195,0.000018787268,0.00019090192,0.0004124395,0.000002022141,0.00015547572,0.0010272437],"genre_scores_gemma":[0.992113,0.0003877053,0.0069816425,0.000029093877,0.00011110559,0.0001251966,0.00007551174,0.00005300813,0.00012371963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992581,0.000019419736,0.0001809629,0.00014833511,0.000049951337,0.0003432293],"domain_scores_gemma":[0.99967635,0.000103043814,0.00003209614,0.000102799626,0.000053728047,0.000032003987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017313316,0.00011837469,0.00013749316,0.00006170221,0.000028927969,0.000014823333,0.00006574492,0.00009567415,0.000009016889],"category_scores_gemma":[0.00005623852,0.00013913865,0.000029999217,0.00015304031,0.000009524541,0.00013052746,0.0000061542432,0.00014561211,0.0000057513535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017383627,0.000009053663,0.000047588142,0.00001165332,0.000013890122,1.5985792e-7,0.00010233729,0.99186265,0.00025428762,0.0010422404,0.00030473797,0.006334027],"study_design_scores_gemma":[0.0006697862,0.00009780314,0.000041043877,0.00003117178,0.000009709598,0.0000026381765,0.000025851452,0.98591894,0.0014357066,0.00013019715,0.011465142,0.00017198703],"about_ca_topic_score_codex":5.583661e-7,"about_ca_topic_score_gemma":0.000038893842,"teacher_disagreement_score":0.9832494,"about_ca_system_score_codex":0.00018874566,"about_ca_system_score_gemma":0.000018283945,"threshold_uncertainty_score":0.5673909},"labels":[],"label_agreement":null},{"id":"W1964222389","doi":"10.1109/globalsip.2014.7032332","title":"Cooperative capacity-achieving precoding design for multi-user VFDM transmission","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Precoding; Computer science; Telecommunications link; Robustness (evolution); Throughput; Transmission (telecommunications); Computer network; Interference (communication); MIMO; Electronic engineering; Channel (broadcasting); Wireless; Telecommunications; Engineering","score_opus":0.04514178059800224,"score_gpt":0.25600321405466353,"score_spread":0.2108614334566613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964222389","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":[0.0008623048,0.000048507227,0.99662715,0.000014123812,0.00018023213,0.0006689667,0.0000024597377,0.00047435073,0.0011218829],"genre_scores_gemma":[0.28408334,0.000013985506,0.7146161,0.000019375993,0.000060478767,0.00009806431,0.0000061395303,0.000051815914,0.0010506493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993297,0.000046379988,0.00020628847,0.0001651276,0.00004975375,0.0002027696],"domain_scores_gemma":[0.9995925,0.00013993475,0.000022846305,0.000119436205,0.00006165376,0.00006364137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021892229,0.00014839706,0.00016804556,0.000052981675,0.00010280424,0.000029621782,0.0000729238,0.00007683089,0.000030812527],"category_scores_gemma":[0.000068203706,0.00013409121,0.00003750508,0.000083845756,0.000010673188,0.00027332472,0.0000051156667,0.00007481856,0.000011707586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006488502,0.000008366115,0.000016374684,0.0000830541,0.000012667554,6.1870196e-8,0.00045387738,0.9450976,0.045896303,0.0009016113,0.00022345922,0.007300118],"study_design_scores_gemma":[0.0005297299,0.000037687572,0.00001247762,0.00006469839,0.000008238974,0.0000013856926,0.000035675297,0.929247,0.06421146,0.000015781145,0.005653084,0.00018278949],"about_ca_topic_score_codex":0.000003131112,"about_ca_topic_score_gemma":0.000005193995,"teacher_disagreement_score":0.28322104,"about_ca_system_score_codex":0.00005644336,"about_ca_system_score_gemma":0.0000052038445,"threshold_uncertainty_score":0.5468081},"labels":[],"label_agreement":null},{"id":"W1964425773","doi":"10.1109/infcomw.2014.6849260","title":"Cloud radio access networks (C-RAN) in mobile cloud computing systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Radio access network; Computer network; Distributed computing; C-RAN; Mobile cloud computing; Ran; Wireless; Radio resource management; Mobile computing; Wireless network; Cloud testing; Cloud computing security; Telecommunications; Mobile station; Operating system; Base station","score_opus":0.008594162010453479,"score_gpt":0.2329680608634658,"score_spread":0.22437389885301232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964425773","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":[0.02036077,0.0009351331,0.96885693,0.0000044753397,0.0030963824,0.00050016935,8.4152174e-7,0.0007007463,0.005544566],"genre_scores_gemma":[0.9968857,0.0000493029,0.0017086564,0.000020171488,0.0010772205,0.000039200662,0.000010447847,0.00006570555,0.00014355662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987996,0.000069744776,0.00045671168,0.00021899905,0.000097724806,0.00035716943],"domain_scores_gemma":[0.99938285,0.00015595299,0.000058712478,0.00029474567,0.000034945057,0.000072785995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033952488,0.00018872462,0.0003146314,0.000103721184,0.000045102253,0.00010395689,0.00025288342,0.00013086772,0.000014772945],"category_scores_gemma":[0.000024029014,0.0001922376,0.00003571089,0.00034695782,0.000014094064,0.0002664104,0.000053968815,0.0001899341,0.000027654207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027846086,0.000006945342,0.0005738679,0.00009109146,0.000008830969,0.0000014064875,0.00011237882,0.9953952,0.000042547475,0.0011393151,0.0007225033,0.0019031487],"study_design_scores_gemma":[0.00030705554,0.000017751985,0.00005669908,0.00011298569,0.0000038703656,0.0000080568225,0.00010396738,0.99693507,0.00009444966,0.000025374065,0.002108417,0.00022631808],"about_ca_topic_score_codex":0.00006701949,"about_ca_topic_score_gemma":0.000050289025,"teacher_disagreement_score":0.97652495,"about_ca_system_score_codex":0.00015386581,"about_ca_system_score_gemma":0.0000048046663,"threshold_uncertainty_score":0.78392214},"labels":[],"label_agreement":null},{"id":"W1964584888","doi":"10.1109/tcomm.2009.09.070583","title":"Sum-rate analysis of multiuser MIMO system with zero-forcing transmit beamforming","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; Ergodic theory; MIMO; Precoding; Control theory (sociology); Channel (broadcasting); Transmitter power output; Mathematics; Computer science; Topology (electrical circuits); Telecommunications; Mathematical optimization; Transmitter; Mathematical analysis; Combinatorics","score_opus":0.015621025747745189,"score_gpt":0.23769495010548222,"score_spread":0.22207392435773704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964584888","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":[0.006765552,0.00015402246,0.99018115,0.000066118344,0.00007427532,0.00034456706,0.000073968054,0.0005006087,0.0018397217],"genre_scores_gemma":[0.9636048,0.0001875687,0.035962895,0.000014697777,0.0000052503483,0.00007172598,0.00003057498,0.000037736067,0.000084749045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889016,0.00007381722,0.00051031524,0.00017516132,0.00013458554,0.00021594111],"domain_scores_gemma":[0.9980455,0.00017840773,0.000104841405,0.0014569248,0.00013884527,0.00007546402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016323652,0.0002102362,0.0003875207,0.0006181164,0.00027456263,0.000024018933,0.0004367325,0.000094340896,0.000009847294],"category_scores_gemma":[0.0000020948346,0.00020946181,0.00016789243,0.0016683335,0.00005798332,0.00033202927,9.626907e-7,0.00026655613,0.00000775473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000141367345,0.00007478729,0.00001740507,0.00004263466,0.00048417356,4.0626443e-7,0.00070096727,0.9909891,0.0043262574,0.00031118703,0.0000038089004,0.0030351658],"study_design_scores_gemma":[0.00045267495,0.00006968766,0.00024239306,0.00021183374,0.0009556751,0.0000047532235,0.00052269717,0.9867078,0.010456475,0.000009819108,0.00009988253,0.00026628937],"about_ca_topic_score_codex":0.000100358455,"about_ca_topic_score_gemma":0.00071737263,"teacher_disagreement_score":0.95683926,"about_ca_system_score_codex":0.00017352203,"about_ca_system_score_gemma":0.000019787807,"threshold_uncertainty_score":0.8541605},"labels":[],"label_agreement":null},{"id":"W1965129975","doi":"10.1109/tcsi.2013.2285892","title":"A Compact Architecture for Simulation of Spatio-Temporally Correlated MIMO Fading Channels","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sierra Wireless (Canada)","funders":"","keywords":"Fading; Baseband; MIMO; Computer science; Channel (broadcasting); Field-programmable gate array; Wireless; Electronic engineering; Software-defined radio; Precoding; Engineering; Computer network; Telecommunications; Embedded system; Bandwidth (computing)","score_opus":0.014240862384194692,"score_gpt":0.2226108234241264,"score_spread":0.2083699610399317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965129975","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":[0.013552341,0.00014786671,0.983544,0.000014842334,0.0010540101,0.0008897686,0.00004818415,0.00020753671,0.00054145296],"genre_scores_gemma":[0.99938583,0.000014502448,0.00017848653,0.000008869476,0.000068691006,0.00004637679,0.00002228785,0.00006351927,0.00021141542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888045,0.00007009742,0.0004435069,0.00023610645,0.00015352527,0.00021634145],"domain_scores_gemma":[0.9992199,0.00022097047,0.00012400217,0.00022756381,0.000094521754,0.00011306302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022383907,0.00022346464,0.0003845603,0.00021186897,0.00013415286,0.000036496724,0.000072268434,0.00016785512,0.0000060896114],"category_scores_gemma":[0.000016954615,0.00022035868,0.00010049239,0.00019210747,0.00003636256,0.00011728084,3.0463684e-7,0.00012429553,0.0000017217213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012250907,0.000015413465,0.000008295921,0.00040284396,0.000081773556,3.005523e-7,0.00061199063,0.9781167,0.01290768,0.00007212696,0.00001940428,0.0077512222],"study_design_scores_gemma":[0.00082423224,0.00013470722,0.0000140838,0.0003424475,0.00005082527,0.000012165982,0.0001346382,0.9939508,0.0025941327,0.000028347507,0.0016731444,0.00024048044],"about_ca_topic_score_codex":0.000021133143,"about_ca_topic_score_gemma":0.000016442085,"teacher_disagreement_score":0.9858335,"about_ca_system_score_codex":0.00006547711,"about_ca_system_score_gemma":0.000013469841,"threshold_uncertainty_score":0.8985966},"labels":[],"label_agreement":null},{"id":"W1965173328","doi":"10.1109/vetecf.2010.5594120","title":"The Impact of Fading on the Outage Probability in Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fading; Rayleigh fading; Log-distance path loss model; Node (physics); Poisson point process; Cognitive radio; Shadow mapping; Interference (communication); Computer science; Fading distribution; Gaussian; Coverage probability; Path loss; Monte Carlo method; Algorithm; Poisson distribution; Mathematics; Statistics; Telecommunications; Wireless; Physics; Artificial intelligence; Decoding methods","score_opus":0.012980919942091355,"score_gpt":0.2546691606980715,"score_spread":0.24168824075598014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965173328","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":[0.78868014,0.00004220176,0.1928137,0.000028089938,0.00024237452,0.00076632283,0.0000039934052,0.000103364924,0.017319832],"genre_scores_gemma":[0.9996379,0.000007954101,0.00021392302,0.000003211502,0.00003574604,0.000027763133,0.0000014616868,0.000013075212,0.000058971695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995429,0.000029676099,0.0001634566,0.00007515926,0.000046359648,0.00014246053],"domain_scores_gemma":[0.99922943,0.00051088736,0.00003071741,0.00017821521,0.00003239544,0.000018360155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033718895,0.000081182116,0.00009090187,0.000019318777,0.0000411577,0.000014495214,0.00009007044,0.000049514856,0.000034362205],"category_scores_gemma":[0.00020670175,0.000040102947,0.000041043008,0.00013741881,0.00004186666,0.00006478408,0.000011257871,0.00024571657,0.0000026170644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009154007,0.000007945142,0.002604578,0.000003675744,0.000013182527,2.1998675e-7,0.0002450508,0.9942491,0.00056803436,0.0009607603,0.000058923113,0.0012793522],"study_design_scores_gemma":[0.0001943204,0.0000280416,0.0067372103,0.000033434277,0.0000028237648,0.0000013996429,0.00018801287,0.9910279,0.0011505435,0.00054318976,0.000011097057,0.00008205435],"about_ca_topic_score_codex":0.00004427818,"about_ca_topic_score_gemma":0.00022161388,"teacher_disagreement_score":0.21095777,"about_ca_system_score_codex":0.000048226855,"about_ca_system_score_gemma":0.000007708944,"threshold_uncertainty_score":0.16353507},"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":"W1965690692","doi":"10.1007/s00034-009-9144-1","title":"A Limited Feedback SDMA Scheme with Dynamic Multiplexing Order","year":2009,"lang":"en","type":"article","venue":"Circuits Systems and Signal Processing","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":"","keywords":"Multiplexing; Scheme (mathematics); Computer science; Order (exchange); Control theory (sociology); Mathematics; Telecommunications; Artificial intelligence; Control (management); Economics","score_opus":0.010298862860140935,"score_gpt":0.2141074276654037,"score_spread":0.20380856480526277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965690692","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":[0.047097698,0.0070183496,0.94147635,0.000016687432,0.00009496585,0.00047578508,0.000004907385,0.00066674774,0.0031485239],"genre_scores_gemma":[0.99645746,0.000021389196,0.0031575782,0.000022362223,0.00009749928,0.000022742292,0.000015649872,0.00006025542,0.00014509093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998781,0.000021760778,0.00035271278,0.00030850642,0.00017608133,0.00035990783],"domain_scores_gemma":[0.99943274,0.000024754887,0.0001034123,0.00014005776,0.00018172064,0.000117299904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001271827,0.00026869398,0.00032279288,0.00013768446,0.0001953659,0.00023120559,0.000090594964,0.00012220703,0.0000035114047],"category_scores_gemma":[0.000013161697,0.00023991344,0.000020047672,0.00046515133,0.000033036085,0.0005530518,0.000008056404,0.00017770099,0.0000057715547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013231263,0.00002973345,0.00050548604,0.0012537143,0.000044090393,0.000027360007,0.0013552248,0.8600837,0.053137243,0.0001960415,0.000024412995,0.08332976],"study_design_scores_gemma":[0.00069264986,0.00006652476,0.00031921308,0.0011745405,0.000014980594,0.00014163899,0.00056723855,0.99622935,0.00019976436,0.00003180464,0.00016522361,0.00039704348],"about_ca_topic_score_codex":0.0000061885285,"about_ca_topic_score_gemma":0.0000043711516,"teacher_disagreement_score":0.9493597,"about_ca_system_score_codex":0.00009119735,"about_ca_system_score_gemma":0.000034727782,"threshold_uncertainty_score":0.9783386},"labels":[],"label_agreement":null},{"id":"W1965815108","doi":"10.1109/spawc.2014.6941874","title":"A cross-layer design for generic interference-limited multicarrier networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Subcarrier; Computer science; Reuse; Interference (communication); Geometric programming; Convex optimization; Mathematical optimization; Distributed computing; Power (physics); Regular polygon; Orthogonal frequency-division multiplexing; Computer network; Engineering; Mathematics","score_opus":0.03224449209473567,"score_gpt":0.26122908051483473,"score_spread":0.22898458842009906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965815108","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":[0.0015143201,0.000060306476,0.9954247,0.000005284681,0.00045825148,0.0004019221,0.0000017492312,0.00048678424,0.001646708],"genre_scores_gemma":[0.7851999,0.0000073743736,0.21365173,0.000044019416,0.0001549653,0.00013309902,0.000010644894,0.00004845151,0.000749849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929774,0.00002144318,0.00021991611,0.00016563418,0.000041336574,0.00025394635],"domain_scores_gemma":[0.9994621,0.00014507186,0.000025257603,0.00021415061,0.00008475445,0.00006861096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013263055,0.00014270941,0.00015171243,0.00004941666,0.000045712677,0.000050749313,0.00010787002,0.00010069788,0.00007444955],"category_scores_gemma":[0.00008352768,0.00013075849,0.000041143056,0.00012116379,0.000018118877,0.00014350815,0.000015614465,0.00006392279,0.000018854775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011462813,0.0000037510704,0.000107369706,0.000017011465,0.000015869526,1.1318995e-7,0.000041892683,0.99281687,0.0017381962,0.0002242446,0.00067440845,0.0043487935],"study_design_scores_gemma":[0.00041524039,0.00003564141,0.000056777342,0.000013241487,0.000008245442,0.000001506925,0.000008906402,0.9939707,0.003817512,0.00006352149,0.0014378378,0.00017084871],"about_ca_topic_score_codex":0.000002336002,"about_ca_topic_score_gemma":0.0000041640155,"teacher_disagreement_score":0.78368556,"about_ca_system_score_codex":0.00004447124,"about_ca_system_score_gemma":0.0000041413896,"threshold_uncertainty_score":0.5332176},"labels":[],"label_agreement":null},{"id":"W1965898021","doi":"10.1109/vetecs.2010.5493742","title":"Using Direct Analog Feedback for Multiuser MIMO Broadcast Channel","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fading; Precoding; MIMO; Channel state information; Computer science; Minimum mean square error; Diversity gain; Channel (broadcasting); Bit error rate; Control theory (sociology); Electronic engineering; Algorithm; Telecommunications; Mathematics; Wireless; Statistics; Engineering; Artificial intelligence","score_opus":0.02402801575472584,"score_gpt":0.25988356673955715,"score_spread":0.2358555509848313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965898021","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":[0.019257577,0.00006284981,0.96939975,0.000010121052,0.0011949165,0.00041470036,0.000018125094,0.00050502585,0.009136919],"genre_scores_gemma":[0.83507556,0.000006310904,0.16366187,0.000019171906,0.00026683466,0.00003277127,0.000015896228,0.00007010319,0.0008514801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938864,0.000004656093,0.00017138432,0.00015469718,0.0000498935,0.0002307618],"domain_scores_gemma":[0.9996088,0.000040606392,0.000025496793,0.00019795433,0.0000656908,0.000061430466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073031515,0.00013490074,0.00015039384,0.00007400053,0.000055760418,0.000024349507,0.00007968889,0.000097799704,0.00004826168],"category_scores_gemma":[0.000041718562,0.00013189555,0.000049245984,0.00012418935,0.000013918678,0.00020285737,0.000013304585,0.00009174023,0.00002239831],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054568427,0.000011844394,0.00010233456,0.000068759146,0.000025412866,7.213331e-7,0.00013349517,0.88209325,0.11470177,0.00014792768,0.00070384576,0.002005196],"study_design_scores_gemma":[0.00037652638,0.000008302569,0.00004843341,0.000014356501,0.0000106317575,0.000005767868,0.00004292013,0.9733637,0.021771133,0.000041999716,0.0041114036,0.00020484373],"about_ca_topic_score_codex":0.000030768635,"about_ca_topic_score_gemma":0.00012230226,"teacher_disagreement_score":0.815818,"about_ca_system_score_codex":0.000030221927,"about_ca_system_score_gemma":0.0000061910314,"threshold_uncertainty_score":0.53785443},"labels":[],"label_agreement":null},{"id":"W1965921772","doi":"10.1109/icassp.2007.366509","title":"A Framework for Designing MIMO Systems with Decision Feedback Equalization or Tomlinson-Harashima Precoding","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; MIMO; Computer science; Transceiver; Equalization (audio); Mathematical optimization; Control theory (sociology); Convex optimization; Optimal design; Mathematics; Regular polygon; Algorithm; Decoding methods; Wireless; Telecommunications","score_opus":0.03291543603800987,"score_gpt":0.29505309467714075,"score_spread":0.26213765863913085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965921772","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":[0.003568407,0.00024044671,0.9927223,0.0000046345535,0.00064198667,0.0011488423,0.000004952145,0.00075362006,0.0009148142],"genre_scores_gemma":[0.412184,0.00002117181,0.58719224,0.000012967103,0.00018131609,0.00007439814,0.000015733835,0.000085454754,0.00023269762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859554,0.000017195112,0.0005052567,0.00028124012,0.0001894181,0.0004113802],"domain_scores_gemma":[0.9984496,0.0009175961,0.00010644189,0.00025284043,0.0001678637,0.00010563135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005309464,0.0002341191,0.00027022875,0.00017797721,0.00012073497,0.000109919165,0.00012729553,0.00019576821,0.00002402057],"category_scores_gemma":[0.0002614635,0.00018462917,0.000036888418,0.00047023452,0.000011965148,0.00043030817,0.000013983171,0.0001053738,0.000016372922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020587824,0.000012265869,0.00030465925,0.00027060567,0.000034243258,0.0000034121078,0.00031045752,0.9857101,0.0015024288,0.0056326264,0.00020641267,0.005806938],"study_design_scores_gemma":[0.0013360857,0.00022435926,0.000084101455,0.0017147909,0.000044251818,0.000038690345,0.0013235626,0.97466254,0.017750189,0.00087085104,0.0012663475,0.0006841983],"about_ca_topic_score_codex":0.0000068052673,"about_ca_topic_score_gemma":0.00005224036,"teacher_disagreement_score":0.4086156,"about_ca_system_score_codex":0.00020929924,"about_ca_system_score_gemma":0.000025893572,"threshold_uncertainty_score":0.7528959},"labels":[],"label_agreement":null},{"id":"W1965950594","doi":"10.1109/aps.2012.6349357","title":"Real-time Millimeter-Wave MIMO channel measurements","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Extremely high frequency; Transmission (telecommunications); Channel (broadcasting); Electronic engineering; 3G MIMO; Port (circuit theory); Computer science; Spatial multiplexing; Channel capacity; Network analyzer (electrical); Millimeter; Multi-user MIMO; Telecommunications; Physics; Engineering; Optics","score_opus":0.03960124138133819,"score_gpt":0.23151733059734222,"score_spread":0.19191608921600403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965950594","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":[0.022153832,0.000520779,0.7243309,0.000020692503,0.0015003007,0.000559688,0.000009324587,0.0017276495,0.24917682],"genre_scores_gemma":[0.9661777,0.000043931097,0.03075686,0.000017016439,0.0002456988,0.000030030082,0.00001934433,0.00006724631,0.0026422],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926376,0.000015930922,0.00017794792,0.0000945181,0.00012353639,0.00032429252],"domain_scores_gemma":[0.9996151,0.000013785897,0.00002235275,0.00020051011,0.000038779704,0.00010949164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013970006,0.00013486492,0.00013359815,0.00006408046,0.00003048861,0.000010605768,0.000053042484,0.000063848864,0.00020881477],"category_scores_gemma":[0.000014016377,0.00013046595,0.00003354079,0.00011400347,0.0000072326525,0.00032282108,0.000015484848,0.00004445484,0.00063637184],"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":[0.000015658243,0.0001496777,0.0014863879,0.00024593945,0.0003231549,0.0000036218175,0.0018962907,0.3157602,0.65194845,0.00021900774,0.023823125,0.004128485],"study_design_scores_gemma":[0.0020245614,0.0001036757,0.002274267,0.00018884789,0.0001229416,0.000064308726,0.00031159888,0.48211503,0.50408643,0.00020546537,0.00644259,0.0020602779],"about_ca_topic_score_codex":0.000012931261,"about_ca_topic_score_gemma":0.0000019106521,"teacher_disagreement_score":0.94402385,"about_ca_system_score_codex":0.000092251496,"about_ca_system_score_gemma":0.000002851436,"threshold_uncertainty_score":0.81794846},"labels":[],"label_agreement":null},{"id":"W1966208803","doi":"10.1109/tsp.2014.2301137","title":"Flexible Codebook Design for Limited Feedback Systems Via Sequential Smooth Optimization on the Grassmannian Manifold","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Codebook; Grassmannian; Stiefel manifold; Beamforming; Quantization (signal processing); MIMO; Telecommunications link; Algorithm; Mathematics; Computer science; Mathematical optimization; Theoretical computer science; Topology (electrical circuits); Telecommunications; Combinatorics; Pure mathematics","score_opus":0.031601952994698916,"score_gpt":0.23690302057374657,"score_spread":0.20530106757904765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966208803","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":[0.000092098875,0.000068975976,0.9964988,0.00005564551,0.00055037235,0.0012678441,0.000015786525,0.00077475305,0.00067572645],"genre_scores_gemma":[0.97321445,0.000010530702,0.025481256,0.00008694017,0.00018402269,0.0004844444,0.000013820939,0.00014795699,0.00037657842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844354,0.00012256813,0.00045327883,0.00034645834,0.00025425226,0.00037990994],"domain_scores_gemma":[0.999054,0.00028123532,0.00013322968,0.00026056336,0.00018001885,0.000090966256],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039101904,0.00033310454,0.00027085858,0.00022220885,0.00056392147,0.00022754844,0.00020356254,0.00017566339,0.000026634549],"category_scores_gemma":[0.0000067284404,0.0002873977,0.000099231576,0.00035292385,0.00003752489,0.00038968486,8.185289e-7,0.00026073732,0.00002913714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088842724,0.000040007468,1.9507233e-7,0.00020239185,0.00003791504,4.936404e-7,0.00018452112,0.985296,0.0062070703,0.000088552086,0.00011793122,0.007736064],"study_design_scores_gemma":[0.00054871704,0.00016703703,3.756996e-7,0.00031190788,0.00006558924,0.000009851043,0.00009807861,0.95857227,0.039588995,0.00008888753,0.00023739705,0.00031091337],"about_ca_topic_score_codex":0.000007856392,"about_ca_topic_score_gemma":0.0000032580144,"teacher_disagreement_score":0.97312236,"about_ca_system_score_codex":0.00021210399,"about_ca_system_score_gemma":0.000037391997,"threshold_uncertainty_score":0.9999578},"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":"W1966517505","doi":"10.1109/glocom.2014.7037374","title":"Statistical modeling of spatial traffic distribution with adjustable heterogeneity and B S-correlation in wireless cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Point process; Spatial correlation; Poisson distribution; Cellular network; Traffic generation model; Wireless network; Poisson point process; Correlation; Base station; Correlation coefficient; Distribution (mathematics); Wireless; Real-time computing; Statistics; Mathematics; Computer network; Telecommunications; Machine learning","score_opus":0.005087152523909391,"score_gpt":0.18505233584474545,"score_spread":0.17996518332083605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966517505","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":[0.37651238,0.000026880252,0.6232549,7.801657e-7,0.000029809473,0.00008888818,0.000004939096,0.00004261533,0.00003880531],"genre_scores_gemma":[0.9943918,0.000011785984,0.0053912834,8.986346e-7,0.00002226036,0.000007441581,0.00015662609,0.00001605564,0.0000018715392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994504,0.000025569043,0.00021125078,0.00011758733,0.000064908185,0.00013028995],"domain_scores_gemma":[0.9997929,0.000033577428,0.000026540045,0.000082717306,0.00003086707,0.00003344355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010555289,0.00008829318,0.00014657191,0.00002810269,0.000018035858,0.000008241895,0.000023370214,0.00006560087,0.000002703016],"category_scores_gemma":[0.00000896563,0.00008335109,0.0000070912292,0.00008103906,0.00001603978,0.00011808738,0.0000069177195,0.0000752605,3.9409952e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151546055,0.000008061799,0.0018940525,0.000043936932,0.0000037355035,3.5280266e-7,0.000019248364,0.9944662,0.00017899119,0.0006445375,0.0000013123705,0.0027244268],"study_design_scores_gemma":[0.0003670966,0.000030555606,0.00043561205,0.000036853173,0.000008022149,0.0000013123683,0.00001677529,0.9985226,0.0004708411,0.000016004948,0.0000013690155,0.00009296563],"about_ca_topic_score_codex":0.000079389065,"about_ca_topic_score_gemma":0.00039938997,"teacher_disagreement_score":0.6178794,"about_ca_system_score_codex":0.00004355276,"about_ca_system_score_gemma":0.000004077623,"threshold_uncertainty_score":0.3398959},"labels":[],"label_agreement":null},{"id":"W1966672147","doi":"10.1109/pimrc.2011.6139751","title":"Optimizing energy for training vs. data in linearly precoded multiuser sum-rate maximization","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Telecommunications link; Maximization; Rayleigh fading; Fading; Imperfect; Computer science; Channel state information; Mathematical optimization; Channel (broadcasting); Energy (signal processing); Minification; Algorithm; Block (permutation group theory); Upper and lower bounds; Mathematics; Statistics; Wireless; Telecommunications; MIMO; Combinatorics","score_opus":0.07939331138501148,"score_gpt":0.2521138430387841,"score_spread":0.1727205316537726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966672147","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":[0.0010870985,0.00008174548,0.99499923,0.000007934646,0.00028762102,0.000304337,0.000028947685,0.00041143634,0.0027916348],"genre_scores_gemma":[0.4656795,0.000060075017,0.53325,0.000033230674,0.000074120755,0.00009087392,0.00034691466,0.000087402565,0.00037790477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989421,0.0000255776,0.00038791017,0.0002999615,0.000055514567,0.00028894478],"domain_scores_gemma":[0.99930483,0.00006449094,0.000055290187,0.0004646112,0.000057172976,0.000053600652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002574942,0.00016951848,0.00021100458,0.00015386981,0.000034867866,0.000029467867,0.00026882565,0.000110535504,0.000048763508],"category_scores_gemma":[0.000095269985,0.00018121379,0.000023104465,0.00020410054,0.00001063622,0.00088528515,0.000052696174,0.00006884049,0.000004558444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003010194,0.00001811259,0.0001389451,0.00005310921,0.000021518374,0.0000014882531,0.0022870472,0.9899338,0.0010191923,0.00052483514,0.00012547488,0.0058464087],"study_design_scores_gemma":[0.00074327464,0.000020376217,0.0000829556,0.000044576525,0.000008991586,0.0000011695255,0.00022495666,0.9936455,0.0041777384,0.00008583752,0.0007399014,0.00022473304],"about_ca_topic_score_codex":0.000109540364,"about_ca_topic_score_gemma":0.0006236747,"teacher_disagreement_score":0.4645924,"about_ca_system_score_codex":0.000055337514,"about_ca_system_score_gemma":0.000016892036,"threshold_uncertainty_score":0.7389684},"labels":[],"label_agreement":null},{"id":"W1967678562","doi":"10.1109/tsp.2014.2299512","title":"Sum-Rate Maximization in the Multicell MIMO Broadcast Channel With Interference Coordination","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Precoding; Computer science; Base station; Mathematical optimization; Maximization; Dirty paper coding; Optimization problem; Telecommunications link; Cellular network; Interference (communication); Algorithm; Channel (broadcasting); Mathematics; Telecommunications","score_opus":0.013448498264056634,"score_gpt":0.218956880752893,"score_spread":0.20550838248883635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967678562","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":[0.007240703,0.000043635704,0.9914973,0.00005453262,0.000105310755,0.0002918312,0.0000030366477,0.00018962617,0.000574032],"genre_scores_gemma":[0.99744624,0.000009622329,0.0022478653,0.000052178606,0.000038525068,0.00008765741,0.0000059830504,0.000042561638,0.00006934678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910223,0.000091332666,0.00025165186,0.00021021276,0.00013799971,0.00020656947],"domain_scores_gemma":[0.9995682,0.000096803065,0.00006692143,0.00013532993,0.000099222,0.00003348508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025959092,0.0001853949,0.00014217883,0.00019445995,0.00015455112,0.00009896683,0.00013842068,0.00007389015,0.000011581482],"category_scores_gemma":[0.0000042193337,0.00014672989,0.000023321245,0.0005238544,0.00003618581,0.00053240365,4.6549806e-7,0.0002575109,0.00001437173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003380645,0.00004117674,0.000005468504,0.00009847864,0.0000052869436,0.0000010710248,0.001079354,0.95582896,0.0031529241,0.0000064742544,0.0000038948006,0.03974309],"study_design_scores_gemma":[0.0005234969,0.00007826768,0.000027106003,0.00027413887,0.000018050952,0.000007821512,0.0003743065,0.98275924,0.015664203,0.000040971514,0.000044591106,0.00018783372],"about_ca_topic_score_codex":0.000011760451,"about_ca_topic_score_gemma":0.000074386546,"teacher_disagreement_score":0.9902056,"about_ca_system_score_codex":0.00008492041,"about_ca_system_score_gemma":0.000015916408,"threshold_uncertainty_score":0.5983471},"labels":[],"label_agreement":null},{"id":"W1967738314","doi":"10.1109/wcnc.2013.6554554","title":"Energy efficiency of outage constrained two-tier heterogeneous cellular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Microcell; Computer science; Telecommunications link; Lagrange multiplier; Cellular network; Base station; Energy consumption; Outage probability; Efficient energy use; Power (physics); Network performance; Heterogeneous network; Computer network; Mathematical optimization; Topology (electrical circuits); Wireless network; Fading; Wireless; Mathematics; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.004298778225365753,"score_gpt":0.179332880240363,"score_spread":0.17503410201499725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967738314","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":[0.013191548,0.00069581287,0.9757349,0.0000028139154,0.0002596522,0.00014262882,0.0000017224888,0.00024325153,0.009727696],"genre_scores_gemma":[0.99318165,0.000023977407,0.0061814147,0.000018286391,0.000054600445,0.000022174385,0.000010674891,0.00003360166,0.0004736367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992989,0.000014192414,0.0002779519,0.000121688456,0.00007205207,0.00021523844],"domain_scores_gemma":[0.9996074,0.000026776162,0.000040091716,0.00020893256,0.00005628011,0.000060561288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035637982,0.00012955346,0.00017383568,0.000055532793,0.00001943574,0.000013078361,0.00009532465,0.00006612774,0.00037332877],"category_scores_gemma":[0.0000049924693,0.00012235688,0.000045956254,0.000127055,0.000036589165,0.00009660833,0.00001738484,0.000046164325,0.000021761514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.1436316e-7,0.000008550184,0.000026471214,0.000013482835,0.000013850472,0.0000019232584,0.0000337765,0.98171824,0.014883727,0.0005174236,0.00009085141,0.002691067],"study_design_scores_gemma":[0.00023376482,0.000017222952,0.000001524651,0.000010725925,0.000004983549,0.000004930771,0.000023042241,0.9625613,0.036705535,0.000048801096,0.00025571758,0.00013245143],"about_ca_topic_score_codex":0.000060941395,"about_ca_topic_score_gemma":0.000008894319,"teacher_disagreement_score":0.97999007,"about_ca_system_score_codex":0.000028009927,"about_ca_system_score_gemma":0.0000050417048,"threshold_uncertainty_score":0.49895686},"labels":[],"label_agreement":null},{"id":"W1968172594","doi":"10.1155/2014/594282","title":"SER Performance of Large Scale OFDM-SDMA Based Cognitive Radio Networks","year":2014,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"MIMO; Orthogonal frequency-division multiplexing; Base station; Computer science; Beamforming; Cognitive radio; Telecommunications link; Electronic engineering; MIMO-OFDM; Maximal-ratio combining; Interference (communication); Computer network; Channel (broadcasting); Wireless; Telecommunications; Engineering; Fading","score_opus":0.0045970589329925576,"score_gpt":0.21622957069648718,"score_spread":0.21163251176349462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968172594","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":[0.32230183,0.00015414786,0.6767902,0.00004153303,0.00040474668,0.000057670022,0.0000052369214,0.0000113390415,0.0002333104],"genre_scores_gemma":[0.99722904,0.00016899519,0.0022613984,0.000036385605,0.0002518882,0.0000017683082,0.000014627451,0.000013236812,0.000022687545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930626,0.000027818369,0.0003448945,0.0000590741,0.0001796042,0.000082334605],"domain_scores_gemma":[0.99912345,0.000052709805,0.00022649032,0.00003798126,0.00052366825,0.000035696416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000303674,0.00007791422,0.00013697066,0.00012356241,0.00002309939,0.000019585394,0.00008053336,0.000044235432,0.000015765405],"category_scores_gemma":[0.000045094774,0.00006865437,0.000037517195,0.000068073416,0.000023705725,0.00033823133,0.000009128757,0.0001021256,9.965158e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004987711,0.000086167325,0.024833234,0.00015143027,0.0001773144,0.000006164493,0.0005661188,0.9324644,0.008829088,0.0002619739,0.00016141753,0.031963922],"study_design_scores_gemma":[0.0009315463,0.00013314247,0.007816084,0.0003995587,0.000015334863,0.000042840482,0.000060299106,0.98397994,0.0063380734,0.000027969902,0.0001781488,0.00007704068],"about_ca_topic_score_codex":0.0000010828815,"about_ca_topic_score_gemma":0.0000024397327,"teacher_disagreement_score":0.6749272,"about_ca_system_score_codex":0.000029814202,"about_ca_system_score_gemma":0.000012658269,"threshold_uncertainty_score":0.2799644},"labels":[],"label_agreement":null},{"id":"W1969312047","doi":"10.1109/tcomm.2002.801465","title":"Analytical level crossing rates and average fade durations for diversity techniques in Nakagami fading channels","year":2002,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fading; Nakagami distribution; Fade; Diversity combining; Maximal-ratio combining; Rayleigh fading; Channel (broadcasting); Statistics; Diversity gain; Diversity scheme; Fading distribution; Level crossing; Telecommunications; Envelope (radar); Channel state information; Computer science; Mathematics; Algorithm; Wireless; Engineering","score_opus":0.08259165893051813,"score_gpt":0.2958363710545022,"score_spread":0.2132447121239841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969312047","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":[0.00335597,0.00016969594,0.9943424,0.00032206657,0.000104903775,0.00048535469,0.00009850858,0.00031641393,0.0008046965],"genre_scores_gemma":[0.971319,0.0004940784,0.027631534,0.000023811612,0.000014183575,0.00018506066,0.000011784642,0.000027707547,0.00029281183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992759,0.000043395274,0.00027165693,0.00015681719,0.00006588545,0.00018633925],"domain_scores_gemma":[0.99903715,0.0002913768,0.00003457953,0.0005180102,0.000062672036,0.000056231616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011014559,0.0001415696,0.0001633305,0.00027379868,0.001023839,0.00009432289,0.00024109207,0.000099940946,0.000017219481],"category_scores_gemma":[0.00001449324,0.00017110606,0.000053083302,0.00034527862,0.00012595084,0.00041125005,0.000008798517,0.0002477709,0.000005819383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008126619,0.00019730681,0.00012144108,0.000067989014,0.000059122583,8.824098e-7,0.004024759,0.97933054,0.0022493224,0.0007878049,0.00015147288,0.013001259],"study_design_scores_gemma":[0.00033642564,0.00002332657,0.00011512999,0.00008378253,0.000025360147,0.000006345724,0.00016756689,0.99235266,0.0059697414,0.00023031907,0.00048271666,0.00020664936],"about_ca_topic_score_codex":0.00003386095,"about_ca_topic_score_gemma":0.0002143252,"teacher_disagreement_score":0.96796304,"about_ca_system_score_codex":0.00015865384,"about_ca_system_score_gemma":0.0000072841676,"threshold_uncertainty_score":0.7874645},"labels":[],"label_agreement":null},{"id":"W1969412801","doi":"10.1109/tvt.2015.2411739","title":"Dynamic Operations of Cloud Radio Access Networks (C-RAN) for Mobile Cloud Computing Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Radio access network; C-RAN; Computer science; Computer network; Distributed computing; Optimization problem; Wireless; Channel state information; User equipment; Mobile cloud computing; Wireless network; Mobile computing; Telecommunications; Base station; Algorithm; Mobile station","score_opus":0.012222858453729977,"score_gpt":0.2551064596929523,"score_spread":0.24288360123922234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969412801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042204354,0.0009859991,0.9513957,0.000036480113,0.0029898826,0.001308273,0.000043235752,0.001010405,0.000025685664],"genre_scores_gemma":[0.9894441,0.000079273,0.009791693,0.000007336606,0.00006884908,0.00045077983,0.000021545395,0.00008241882,0.000054020446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987168,0.000037120804,0.000524663,0.0002812689,0.00011689141,0.00032327147],"domain_scores_gemma":[0.9990662,0.00007104321,0.00007488891,0.00047317322,0.00024109316,0.00007362172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018677203,0.00023315028,0.0004116599,0.00041508226,0.00013626146,0.00003525816,0.00033852307,0.00041725527,0.0000025401318],"category_scores_gemma":[0.000011956793,0.000256495,0.00009970413,0.0007043455,0.00008804365,0.00019373055,0.0000031730056,0.00032490652,0.000006513553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012389479,0.000049355647,0.0000048037055,0.00008530854,0.000091181224,0.0000018781324,0.00008863102,0.9957566,0.0016810077,0.00027145218,0.000074139694,0.0018832308],"study_design_scores_gemma":[0.0008038357,0.00015080358,8.426298e-7,0.00009712164,0.00005776883,0.000042204752,0.00034603337,0.9907615,0.0070129302,0.00004523534,0.00045262274,0.00022907299],"about_ca_topic_score_codex":0.00002283182,"about_ca_topic_score_gemma":0.000052832078,"teacher_disagreement_score":0.94723976,"about_ca_system_score_codex":0.00026681562,"about_ca_system_score_gemma":0.000035324254,"threshold_uncertainty_score":0.99998873},"labels":[],"label_agreement":null},{"id":"W1969521176","doi":"10.1109/glocom.2008.ecp.211","title":"On the Eigenvalue Distribution of Correlated MIMO Channels by Character Expansion of Groups","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wishart distribution; Mathematics; MIMO; Random matrix; Channel capacity; Matrix (chemical analysis); Eigenvalues and eigenvectors; Gaussian; Mutual information; Applied mathematics; Statistics; Physics; Beamforming","score_opus":0.009794451087267314,"score_gpt":0.1909683044045845,"score_spread":0.1811738533173172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969521176","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":[0.60723937,0.00007080904,0.39159042,0.000017813607,0.00024323311,0.00021094615,0.00003840689,0.00008326428,0.0005057662],"genre_scores_gemma":[0.99935645,0.00007988414,0.00010357572,0.000010280509,0.000018839137,0.000012531875,0.00017152348,0.00001821279,0.00022869269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999404,0.000023129718,0.00026378589,0.00008775505,0.00011228553,0.00010900552],"domain_scores_gemma":[0.9995898,0.00006693957,0.00007179899,0.00018750827,0.00006179284,0.000022188775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007272577,0.000098619756,0.0001461117,0.000026476115,0.000035124394,0.0000018152979,0.000071649796,0.00007598987,0.00006227064],"category_scores_gemma":[0.000034828157,0.00007078878,0.000037827678,0.0001604679,0.000031730935,0.000093791314,0.000009847998,0.00007617318,0.000016414273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053968957,0.00010036763,0.0003275774,0.00010945845,0.00007158654,0.000002336935,0.0010959096,0.75741935,0.21882145,0.006261901,0.015154364,0.00058174244],"study_design_scores_gemma":[0.0005953745,0.00013398501,0.0011823968,0.00015815774,0.000016657312,0.000013024384,0.00013498506,0.40719992,0.58981025,0.00015318312,0.00034627895,0.0002558016],"about_ca_topic_score_codex":0.000013382035,"about_ca_topic_score_gemma":3.8712582e-7,"teacher_disagreement_score":0.3921171,"about_ca_system_score_codex":0.000037213613,"about_ca_system_score_gemma":0.0000047281956,"threshold_uncertainty_score":0.28866827},"labels":[],"label_agreement":null},{"id":"W1969721741","doi":"10.1109/icc.2012.6364971","title":"Energy efficient cellular networks with CoMP communications and smart grid","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Smart grid; Computer science; Cellular network; Base station; Wireless; Efficient energy use; Computer network; Wireless network; Grid; Distributed computing; Wireless sensor network; Telecommunications; Engineering; Electrical engineering","score_opus":0.007488198648881701,"score_gpt":0.18469954701204555,"score_spread":0.17721134836316385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969721741","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":[0.002332824,0.0027312255,0.9849912,0.000015503343,0.00014217677,0.00006658491,0.0000010472655,0.0002031726,0.009516247],"genre_scores_gemma":[0.97552234,0.00012493969,0.024081271,0.000019862431,0.0000632798,0.0000171769,0.000026867307,0.00002192675,0.00012232612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999646,0.0000149739635,0.000095658135,0.000052939675,0.000037837857,0.00015260585],"domain_scores_gemma":[0.9995499,0.000031854423,0.00001521297,0.00031806962,0.00001914164,0.00006582537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005039231,0.00007683565,0.00007932427,0.000026753505,0.000057593916,0.000011143858,0.000073397656,0.000032033917,0.000010521428],"category_scores_gemma":[9.1812416e-7,0.00006539094,0.000007863339,0.000092965805,0.000030110035,0.0000717018,0.000035919515,0.000051416908,0.0000040131717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010169102,0.000013805773,0.0009898635,0.000006856675,0.00001114794,1.1925208e-7,0.00007526242,0.99476075,0.00017732292,0.003096528,0.00021415408,0.00065316487],"study_design_scores_gemma":[0.00012410356,0.000007975125,0.00011574438,0.000012434758,0.000007667156,0.000005378001,0.000049990507,0.9890351,0.0003674977,0.000001939036,0.0101721315,0.000100032805],"about_ca_topic_score_codex":0.000020825404,"about_ca_topic_score_gemma":0.00002738838,"teacher_disagreement_score":0.97318953,"about_ca_system_score_codex":0.000023302031,"about_ca_system_score_gemma":0.0000016817944,"threshold_uncertainty_score":0.2666565},"labels":[],"label_agreement":null},{"id":"W1970046915","doi":"10.1109/iccs.2006.301442","title":"User Selection Methods for Multi-User Downlinks with Multiple-Antenna Terminals","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Selection (genetic algorithm); Selection algorithm; Telecommunications link; Spatial multiplexing; Throughput; Multiplexing; MIMO; Computer network; Transmission (telecommunications); Multi-user; Multi-user MIMO; Dirty paper coding; Algorithm; Channel (broadcasting); Wireless; Telecommunications; Precoding; Machine learning","score_opus":0.018299079418538068,"score_gpt":0.30519826960892155,"score_spread":0.28689919019038346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970046915","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":[0.0017801375,0.00008219598,0.9960111,0.000011938381,0.0001636277,0.0007348704,0.0000070865535,0.0007349003,0.00047416717],"genre_scores_gemma":[0.0891385,0.0000049426435,0.9030005,0.000019521749,0.00012039209,0.00021340621,0.000030300605,0.00007819444,0.0073942733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991452,0.000029545145,0.00027353453,0.00022190837,0.000057428984,0.00027237643],"domain_scores_gemma":[0.9994945,0.00011684709,0.000050090337,0.00015899229,0.00013874892,0.00004083876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016198089,0.00019569845,0.00020840432,0.000106174084,0.00006643865,0.00003338817,0.000071821945,0.00012261265,0.00002225887],"category_scores_gemma":[0.000038436105,0.00016058546,0.000049052967,0.0002076756,0.000014765378,0.00028843075,0.0000084238445,0.0000940681,0.000010559985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050107396,0.00005919552,0.0063834116,0.00015622405,0.000060737584,0.0000011980404,0.00007220484,0.8767827,0.10843885,0.0005680567,0.0008952454,0.006532069],"study_design_scores_gemma":[0.0011754363,0.000044706376,0.001014142,0.00003055192,0.000027536133,0.000017031914,0.000040259347,0.93971217,0.045673992,0.000022394095,0.011959588,0.000282196],"about_ca_topic_score_codex":0.00007714767,"about_ca_topic_score_gemma":0.0003687745,"teacher_disagreement_score":0.09301061,"about_ca_system_score_codex":0.00008118443,"about_ca_system_score_gemma":0.000008709032,"threshold_uncertainty_score":0.6548485},"labels":[],"label_agreement":null},{"id":"W1970229542","doi":"10.1109/pacrim.2011.6032947","title":"Effects of angle-of-arrival estimation errors, angular spread and antenna beamwidth on the performance of reconfigurable SISO systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"","keywords":"Beamwidth; Angle of arrival; Antenna (radio); Computer science; Antenna array; Bit error rate; Channel (broadcasting); Telecommunications","score_opus":0.010153191304937755,"score_gpt":0.18705542279327006,"score_spread":0.1769022314883323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970229542","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":[0.8939612,0.000661763,0.10196322,0.0000031121842,0.00020124478,0.00058047066,0.000005773979,0.00007208282,0.0025511133],"genre_scores_gemma":[0.99576217,0.000074638236,0.004049362,0.0000017315175,0.000009309242,0.000019680801,0.000003458896,0.000020414698,0.000059209986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934554,0.000030453244,0.0003195254,0.00009705061,0.00009683374,0.000110583154],"domain_scores_gemma":[0.99944913,0.000112427835,0.00013920169,0.00021102373,0.0000638941,0.0000243088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016263708,0.000114137874,0.00023838843,0.00007829892,0.000021617798,0.0000035440128,0.000085972926,0.00005913486,0.0000101374635],"category_scores_gemma":[0.00004902692,0.000083320454,0.000026476275,0.00013565761,0.000042861095,0.00016507208,0.000007986659,0.00005357888,0.0000018580197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009457748,0.00010656152,0.0026250102,0.0072764945,0.00017405486,0.0000017569367,0.0026371065,0.6301809,0.346367,0.006333619,0.00010818308,0.004094753],"study_design_scores_gemma":[0.00016050879,0.00016498918,0.0008479867,0.00049312436,0.000020708729,0.0000032957744,0.000119330856,0.58146083,0.41661775,0.000028200973,0.0000038453754,0.00007939236],"about_ca_topic_score_codex":0.000067359084,"about_ca_topic_score_gemma":0.0000022538022,"teacher_disagreement_score":0.10180098,"about_ca_system_score_codex":0.000016932468,"about_ca_system_score_gemma":0.0000059072327,"threshold_uncertainty_score":0.33977094},"labels":[],"label_agreement":null},{"id":"W1970630387","doi":"10.1049/iet-com.2012.0603","title":"Joint beamforming design and base‐station assignment in a coordinated multicell system","year":2013,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Base station; Computer science; Telecommunications link; Relaxation (psychology); Mathematical optimization; Transmitter power output; Interference (communication); Heuristic; Telecommunications; Mathematics; Transmitter","score_opus":0.028138023252369186,"score_gpt":0.22882227521680396,"score_spread":0.20068425196443476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970630387","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":[0.003941377,0.0004632966,0.99293876,0.00011963192,0.000051603132,0.00094901345,0.0000041823378,0.00028111672,0.0012510242],"genre_scores_gemma":[0.8143981,0.00010287237,0.18497077,0.000007834424,0.0000046690807,0.00042478033,0.000032583317,0.000023031022,0.00003534641],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926347,0.000115089046,0.00032342874,0.00010032214,0.00005269631,0.00014502724],"domain_scores_gemma":[0.99905807,0.00017103516,0.000059513306,0.00059338694,0.000068292975,0.0000497335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021218722,0.00010582559,0.00013354463,0.00012469463,0.000095184565,0.000043774653,0.00016774694,0.00005430704,0.000007743864],"category_scores_gemma":[0.000034298526,0.000115958006,0.000013691034,0.00020701467,0.00002904087,0.00033472845,0.000061866056,0.00012716334,0.000041235093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010737136,0.000027042563,0.00009521515,0.000087954075,0.000012379818,3.7950548e-7,0.00090549653,0.98174626,0.013989661,0.0008073158,0.00014457261,0.0021826776],"study_design_scores_gemma":[0.00031111386,0.000010458938,0.00022159512,0.00014868105,0.0000074939767,0.0000031484008,0.0011266546,0.9966247,0.0012400642,0.00005342143,0.0001321557,0.00012049659],"about_ca_topic_score_codex":0.00014829278,"about_ca_topic_score_gemma":0.00003298916,"teacher_disagreement_score":0.81045675,"about_ca_system_score_codex":0.000251398,"about_ca_system_score_gemma":0.0000099726485,"threshold_uncertainty_score":0.47286302},"labels":[],"label_agreement":null},{"id":"W1970767514","doi":"10.1109/jsac.2014.2328133","title":"Optimized Backhaul Compression for Uplink Cloud Radio Access Network","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Telecommunications link; Decodes; Quantization (signal processing); Base station; Maximization; Artificial noise; Cloud computing; Decoding methods","score_opus":0.0319810831676609,"score_gpt":0.3065107223314905,"score_spread":0.2745296391638296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970767514","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016210416,0.00067675405,0.99227613,0.00043110808,0.0010302113,0.0005926543,0.000007726486,0.00028796092,0.0030764162],"genre_scores_gemma":[0.78176194,0.001738066,0.21470667,0.00017091804,0.0010388643,0.00020866196,0.00014172036,0.00013502728,0.000098111355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983365,0.00030834984,0.000680724,0.00015851228,0.00013631824,0.00037957635],"domain_scores_gemma":[0.9972269,0.0010872006,0.00023224072,0.0010187024,0.00029795393,0.00013698365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005629892,0.00022189849,0.000368027,0.00021608736,0.00041389852,0.00014539948,0.0012575588,0.00015545635,0.0000158813],"category_scores_gemma":[0.00022706705,0.00022144144,0.00008410698,0.00073020003,0.00004206965,0.00035665848,0.00006657213,0.0007842065,0.000009981481],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052817242,0.000058512927,0.00013744345,0.000016056121,0.00003638831,3.9739322e-7,0.00006632895,0.9839573,0.00030854688,0.0005422743,0.012226385,0.0025975327],"study_design_scores_gemma":[0.0018459335,0.000060200735,0.0002805513,0.00043440584,0.000025170217,0.000040803217,0.000012629651,0.97300303,0.00043283094,0.001422955,0.022158211,0.0002832826],"about_ca_topic_score_codex":0.0000030821022,"about_ca_topic_score_gemma":0.000021892576,"teacher_disagreement_score":0.78014094,"about_ca_system_score_codex":0.00029283937,"about_ca_system_score_gemma":0.00004958518,"threshold_uncertainty_score":0.903012},"labels":[],"label_agreement":null},{"id":"W1971056209","doi":"10.1109/pimrc.2011.6139877","title":"Modelling, measurement and analysis of narrowband fast fading on relay channels","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Rician fading; Fading; Relay; Fading distribution; Relay channel; Narrowband; Computer science; Channel state information; Base station; Electronic engineering; Channel (broadcasting); Telecommunications; Computer network; Rayleigh fading; Power (physics); Engineering; Physics; Wireless","score_opus":0.05033901877023718,"score_gpt":0.21186779771535966,"score_spread":0.16152877894512246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971056209","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":[0.031984393,0.0001422653,0.95777696,0.000001311639,0.000072014824,0.000083395345,0.0000019062027,0.00008390713,0.009853874],"genre_scores_gemma":[0.98822343,0.000035167035,0.011611828,0.0000029477535,0.000008800006,0.000006297624,0.0000022415413,0.000014887203,0.00009438554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949515,0.000008169775,0.00017962615,0.00010979139,0.0001114218,0.00009581438],"domain_scores_gemma":[0.9997411,0.0000069209327,0.000032287528,0.00012797634,0.00005661043,0.000035124103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012994146,0.00008491423,0.000172646,0.00021805584,0.000018648883,0.000004614223,0.000037099737,0.000038101127,0.000036679434],"category_scores_gemma":[0.0000046237556,0.00007844202,0.00003457062,0.0002512412,0.0000086247765,0.000078392615,0.0000061860064,0.00003706309,0.0000020809878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036671656,0.0000071861236,0.00021917112,0.000020068936,0.0002146379,3.0537655e-7,0.001238364,0.9970755,0.0006702922,0.00035903446,0.0000115078965,0.00018023964],"study_design_scores_gemma":[0.00009635725,0.000020141813,0.000029795454,0.000025885858,0.00010976547,2.60636e-7,0.00009786376,0.98997366,0.009520886,0.00003097827,0.000011808971,0.00008260412],"about_ca_topic_score_codex":0.000030398669,"about_ca_topic_score_gemma":0.000010515035,"teacher_disagreement_score":0.95623904,"about_ca_system_score_codex":0.000036437286,"about_ca_system_score_gemma":0.0000018602952,"threshold_uncertainty_score":0.31987727},"labels":[],"label_agreement":null},{"id":"W1972203946","doi":"10.1109/iccw.2014.6881271","title":"A set cover based algorithm for Cell Switch-Off with different cell sorting criteria","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Sorting; Computer science; Benchmark (surveying); Algorithm; Cover (algebra); Set (abstract data type); Cell sorting; Greedy algorithm; Sorting algorithm; Energy (signal processing); Energy consumption; Cell; Mathematics; Engineering; Biology","score_opus":0.007628643091277317,"score_gpt":0.21481759054369898,"score_spread":0.20718894745242167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972203946","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":[0.004832196,0.000045516783,0.98940337,0.00000949469,0.00020373901,0.000443449,0.000019793952,0.00038308618,0.004659376],"genre_scores_gemma":[0.74308664,0.0000034657446,0.25535968,0.000071429335,0.00012555902,0.000109314584,0.00006959339,0.00009261573,0.0010816992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999153,0.000017704268,0.00024207868,0.00020777539,0.00009531603,0.00028410795],"domain_scores_gemma":[0.9994863,0.000093019255,0.000059444203,0.00022451028,0.000060007293,0.000076690645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008927559,0.00020712231,0.00021632169,0.000055262662,0.00005130489,0.000042902488,0.00008361595,0.000066994086,0.00008933644],"category_scores_gemma":[0.000007506206,0.00016745945,0.000043202406,0.00007144214,0.000008667592,0.00012434919,0.000012031438,0.00006626374,0.000019662311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003594531,0.00008888349,0.00030947317,0.001207124,0.000030747586,0.000002401029,0.0004137189,0.9410294,0.028829794,0.000048179445,0.004562999,0.023441305],"study_design_scores_gemma":[0.0011522423,0.000089877576,0.000013597939,0.000035405264,0.000014120237,8.2229224e-7,0.00005282959,0.9222965,0.07435792,0.000021665857,0.0017254659,0.00023950222],"about_ca_topic_score_codex":0.00000416579,"about_ca_topic_score_gemma":0.000006991864,"teacher_disagreement_score":0.7382545,"about_ca_system_score_codex":0.000057341236,"about_ca_system_score_gemma":0.0000082170955,"threshold_uncertainty_score":0.68287987},"labels":[],"label_agreement":null},{"id":"W1972427993","doi":"10.1109/ict-dm.2014.6918583","title":"Multipath routing algorithm for device-to-device communications for public safety over LTE Heterogeneous Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer network; Computer science; Multipath propagation; Multipath routing; Network packet; Node (physics); Quality of service; Bandwidth (computing); Routing protocol; Link-state routing protocol; Engineering","score_opus":0.026544166467373443,"score_gpt":0.27033438739952637,"score_spread":0.2437902209321529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972427993","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":[0.00012806577,0.000173277,0.99629253,0.00010324896,0.00030445645,0.0014287842,0.00004321656,0.00058621477,0.0009402301],"genre_scores_gemma":[0.388816,0.000031593703,0.6097385,0.00023972319,0.00021934346,0.00050183345,0.00018653815,0.00009811413,0.00016831554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987711,0.000038229635,0.0004426187,0.00023883062,0.00007211295,0.00043714794],"domain_scores_gemma":[0.9982987,0.00051740854,0.000077023404,0.0007657979,0.00020201574,0.00013906698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036691496,0.00020647224,0.00025296482,0.000081093654,0.00027690548,0.00007556147,0.00038669212,0.00012014413,0.000008706182],"category_scores_gemma":[0.0001428679,0.00021839232,0.00009430351,0.0002097736,0.000014842523,0.00023765807,0.000097287724,0.00009732575,0.00001036824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000365569,0.000014404761,0.00006622238,0.000035516343,0.00003846528,4.230055e-8,0.00008234243,0.9086613,0.000075758406,0.0011033075,0.0002214766,0.08969751],"study_design_scores_gemma":[0.00062918826,0.000030146228,0.000025129286,0.00003237493,0.000017755377,0.0000025361362,0.00003260593,0.9525241,0.00011761123,0.000032982676,0.046302356,0.00025320696],"about_ca_topic_score_codex":0.000021605867,"about_ca_topic_score_gemma":0.00030136976,"teacher_disagreement_score":0.38868794,"about_ca_system_score_codex":0.00014720179,"about_ca_system_score_gemma":0.000010347932,"threshold_uncertainty_score":0.89057803},"labels":[],"label_agreement":null},{"id":"W1972464976","doi":"10.1109/icc.2012.6364097","title":"On MMSE vector-perturbation precoding for MIMO broadcast channels with per-antenna-group power constraints","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; MIMO; Control theory (sociology); Encoder; Mathematics; Minimum mean square error; Computer science; Zero-forcing precoding; Algorithm; Mathematical optimization; Topology (electrical circuits); Telecommunications; Channel (broadcasting); Combinatorics; Statistics","score_opus":0.013051875066143076,"score_gpt":0.2222600474076825,"score_spread":0.2092081723415394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972464976","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":[0.015852503,0.00013280702,0.9737461,0.000026074465,0.00090002577,0.0007381585,0.000015680018,0.00041834245,0.008170275],"genre_scores_gemma":[0.98244107,0.0000071089507,0.016348483,0.000046399964,0.0001818267,0.0001250853,0.00003703831,0.00007192856,0.00074108475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991283,0.000013597592,0.000202087,0.00017331007,0.00010378852,0.00037895158],"domain_scores_gemma":[0.99949545,0.00011284059,0.00004629411,0.00017404805,0.00006658396,0.000104790706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012568347,0.00020282123,0.00017713,0.00009312508,0.000067236935,0.00003365486,0.00006585566,0.00008781557,0.00019558423],"category_scores_gemma":[0.00004673793,0.0001696176,0.000041388987,0.00009707749,0.00002866767,0.00047600456,0.0000077622535,0.000082056875,0.00005251781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004617792,0.0004544284,0.001896865,0.0008185344,0.00050749216,0.0000046559285,0.010033856,0.8054125,0.08409173,0.07370772,0.0040756674,0.018534796],"study_design_scores_gemma":[0.0072620595,0.001593344,0.0012688752,0.0011428081,0.00015644837,0.0001873989,0.0033722217,0.93690234,0.03424305,0.00057280506,0.010169424,0.003129197],"about_ca_topic_score_codex":0.0000020958373,"about_ca_topic_score_gemma":0.0000027964109,"teacher_disagreement_score":0.96658856,"about_ca_system_score_codex":0.000119115575,"about_ca_system_score_gemma":0.000005851057,"threshold_uncertainty_score":0.6916805},"labels":[],"label_agreement":null},{"id":"W1972961267","doi":"10.1109/tmc.2015.2416181","title":"Energy and Throughput Trade-Offs in Cellular Networks Using Base Station Switching","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Computer science; Base station; Scheduling (production processes); Bottleneck; Benchmark (surveying); Computer network; Efficient energy use; Cellular network; Real-time computing; Embedded system; Engineering","score_opus":0.018088609770751916,"score_gpt":0.23416101860080127,"score_spread":0.21607240883004936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972961267","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":[0.10583921,0.00037873097,0.8926175,0.0000032656205,0.0006794529,0.0001892016,0.0000025362922,0.000238382,0.000051699888],"genre_scores_gemma":[0.9796342,0.000037550726,0.020137278,0.000018397877,0.00009035289,0.000015757463,0.000005747775,0.000056756944,0.000003956724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989714,0.00006875998,0.0003465795,0.000242365,0.00011113473,0.00025975265],"domain_scores_gemma":[0.9995852,0.00009358015,0.000053594315,0.0001511801,0.000022139357,0.000094284755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020452359,0.0001869945,0.00019969748,0.00017758487,0.00010795457,0.000042517586,0.00005877911,0.000100985526,0.0000021857554],"category_scores_gemma":[0.0000021031963,0.00022294353,0.000033306187,0.00033186417,0.000014538928,0.0002830671,0.0000014110745,0.00020802087,7.056472e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000654357,0.000024382407,0.000021643413,0.000022839038,0.0000101514415,0.000005978724,0.00067448337,0.957678,0.0036792997,0.000012936845,0.0000045678476,0.037859127],"study_design_scores_gemma":[0.0005367845,0.000040435516,0.000004820705,0.000117905154,0.000012469672,0.000012512895,0.000411453,0.99414194,0.004435235,0.000031789175,0.000048385016,0.00020625656],"about_ca_topic_score_codex":0.00010784175,"about_ca_topic_score_gemma":0.00009830087,"teacher_disagreement_score":0.873795,"about_ca_system_score_codex":0.00023286142,"about_ca_system_score_gemma":0.000015435144,"threshold_uncertainty_score":0.90913737},"labels":[],"label_agreement":null},{"id":"W1973740145","doi":"10.1109/icc.2014.6883722","title":"A novel multiobjective framework for cell switch-off in dense cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"European Regional Development Fund; National Science Council; Ontario Ministry of Economic Development and Innovation","keywords":"Computer science; Cellular network; Quality of service; Scheduling (production processes); Context (archaeology); Energy consumption; Software deployment; Resource allocation; Performance metric; Task (project management); Distributed computing; Multi-objective optimization; Optimization problem; Mathematical optimization; Computer network; Engineering; Mathematics","score_opus":0.006852452685294046,"score_gpt":0.21080001319192385,"score_spread":0.2039475605066298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973740145","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":[0.0038921072,0.00018751195,0.992947,0.0000070069173,0.00039964047,0.00052569533,0.0000022920003,0.0002600562,0.0017786814],"genre_scores_gemma":[0.6986565,0.000010041685,0.30089697,0.000031243744,0.00014360687,0.000060413415,0.000007963241,0.000048832128,0.00014439417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924266,0.00001337483,0.00022808836,0.0001910187,0.00005263254,0.00027224614],"domain_scores_gemma":[0.9994123,0.00024903624,0.000034747853,0.0002062839,0.000046818033,0.0000507926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014729211,0.00015168058,0.00018223122,0.000077623874,0.000029471976,0.000017921799,0.00008258499,0.00018065723,0.000011272157],"category_scores_gemma":[0.000082924686,0.00015847785,0.000043834054,0.0001803649,0.000008965357,0.00010994712,0.000014627842,0.00015999984,0.000013224878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009248608,0.000023475639,0.00008988598,0.000038335533,0.0000056218864,3.4189216e-7,0.00021248969,0.9919415,0.0046285233,0.001783154,0.00006464752,0.0012027762],"study_design_scores_gemma":[0.0006758307,0.00002461146,0.000049597238,0.000044167926,0.0000057067837,7.7848586e-7,0.000106623906,0.99041814,0.0072660036,0.0007425752,0.00046698848,0.0001989638],"about_ca_topic_score_codex":0.000017372846,"about_ca_topic_score_gemma":0.0000608826,"teacher_disagreement_score":0.69476444,"about_ca_system_score_codex":0.00009315145,"about_ca_system_score_gemma":0.0000050409085,"threshold_uncertainty_score":0.64625394},"labels":[],"label_agreement":null},{"id":"W1973892800","doi":"10.3390/s130811032","title":"Energy-Efficient Cognitive Radio Sensor Networks: Parametric and Convex Transformations","year":2013,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Fractional programming; Mathematical optimization; Cognitive radio; Optimization problem; Wireless sensor network; Nonlinear programming; Geometric programming; Computer science; Convex optimization; Parametric programming; Iterative method; Convergence (economics); Transformation (genetics); Parametric statistics; Efficient energy use; Energy (signal processing); Nonlinear system; Wireless; Mathematics; Regular polygon; Engineering; Telecommunications; Computer network; Electrical engineering","score_opus":0.005804259776851552,"score_gpt":0.19004503292704433,"score_spread":0.18424077315019277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973892800","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":[0.2817636,0.00070316455,0.71336055,0.000025403107,0.00022441347,0.00036068234,0.000011542457,0.00033320353,0.0032174045],"genre_scores_gemma":[0.99746597,0.00024496752,0.0018975026,0.00002539456,0.000057656056,0.000046682242,0.00002212684,0.000033944234,0.00020575829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931395,0.00002994518,0.00021687151,0.00013074612,0.00007836036,0.00023014755],"domain_scores_gemma":[0.99955803,0.00014567192,0.000029468765,0.00009405576,0.00007746588,0.000095328345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004362599,0.00014301874,0.00016170109,0.00015456467,0.00006717748,0.00003858585,0.000032702126,0.00007897558,0.000038311042],"category_scores_gemma":[0.000025749861,0.00014314863,0.000030118255,0.00037503414,0.000041164778,0.00011651008,0.0000053119393,0.000089837195,0.00004755157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015065269,0.000006747998,0.00004196839,0.000017464521,0.000023204308,0.0000012343834,0.00028932767,0.9942152,0.000059931688,0.0001167011,0.00009940048,0.005127341],"study_design_scores_gemma":[0.0003169418,0.000012953061,0.00027625464,0.000028835524,0.000017370956,0.000019857924,0.0005646095,0.99786586,0.00044629964,0.000018728279,0.00025943373,0.0001728886],"about_ca_topic_score_codex":0.000018899882,"about_ca_topic_score_gemma":0.0000030672925,"teacher_disagreement_score":0.71570235,"about_ca_system_score_codex":0.00003943724,"about_ca_system_score_gemma":0.0000039602205,"threshold_uncertainty_score":0.5837432},"labels":[],"label_agreement":null},{"id":"W1973938593","doi":"10.1109/twc.2015.2390224","title":"Handoff Rate and Coverage Analysis in Multi-Tier Heterogeneous Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Coverage probability; Handover; Poisson point process; Cellular network; Performance metric; Computer network; Stochastic geometry; Base station; Metric (unit); Heterogeneous network; Point process; Interference (communication); Transmitter power output; Poisson distribution; Wireless network; Wireless; Telecommunications; Statistics; Channel (broadcasting); Mathematics","score_opus":0.030096251588426864,"score_gpt":0.26163163477268087,"score_spread":0.231535383184254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973938593","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":[0.022059746,0.00067604583,0.976399,0.000045169363,0.00014828343,0.00026192263,0.000028882612,0.00021808165,0.00016286985],"genre_scores_gemma":[0.99257946,0.001753179,0.0053051715,0.00002759743,0.000006520193,0.00016157089,0.000028829803,0.000038467173,0.00009921546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990955,0.0001500781,0.00032408405,0.00017033344,0.00007009495,0.00018989372],"domain_scores_gemma":[0.99867237,0.00014481116,0.00004435217,0.0009537477,0.00006822639,0.000116478695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001712953,0.00016730739,0.00026169678,0.0003545902,0.0001349994,0.000044032768,0.00024044556,0.000108369735,0.000006451513],"category_scores_gemma":[0.0000039289357,0.00019190683,0.000068466645,0.0008914158,0.00006961761,0.0002011749,0.000004214349,0.00029623645,0.0000094733405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009336575,0.0000784736,0.00016277001,0.000006003828,0.00013989677,0.0000012695045,0.00032368506,0.9953704,0.00013840676,0.000016990825,0.0000068397253,0.003745936],"study_design_scores_gemma":[0.0007453239,0.000015120428,0.0001438051,0.000022758075,0.00010323069,0.0000042300935,0.000069569636,0.9980668,0.00050558825,0.000010849946,0.00012844786,0.00018429906],"about_ca_topic_score_codex":0.00007702508,"about_ca_topic_score_gemma":0.0025285117,"teacher_disagreement_score":0.97109383,"about_ca_system_score_codex":0.00015187281,"about_ca_system_score_gemma":0.000015503772,"threshold_uncertainty_score":0.78257334},"labels":[],"label_agreement":null},{"id":"W1974271501","doi":"10.1007/s10623-012-9684-4","title":"Constructions for retransmission permutation arrays","year":2012,"lang":"en","type":"article","venue":"Designs Codes and Cryptography","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Lakehead University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Retransmission; Permutation (music); Computer science; Simple (philosophy); Class (philosophy); Connection (principal bundle); Channel (broadcasting); Partial permutation; Algorithm; Mathematics; Permutation matrix; Physics; Computer network; Transmission (telecommunications); Telecommunications; Artificial intelligence","score_opus":0.018799110953715312,"score_gpt":0.2375980290679508,"score_spread":0.2187989181142355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974271501","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":[0.009979912,0.0010034181,0.9872044,0.0000094257475,0.00023426974,0.0002749827,0.000019460233,0.00020382408,0.0010703371],"genre_scores_gemma":[0.81209964,0.00017431797,0.18751305,0.0000091387365,0.00008202706,0.000066552515,0.000029188308,0.000021103368,0.000004948582],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995514,0.000012089463,0.00012886297,0.0000846373,0.00004417091,0.0001788431],"domain_scores_gemma":[0.9997418,0.000044856675,0.000021048185,0.00007350339,0.00003632208,0.00008248399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008115972,0.00009792379,0.00009859842,0.00011194362,0.000117658376,0.000020897767,0.000025445892,0.00006298745,0.000011334308],"category_scores_gemma":[0.0000069204434,0.00009657923,0.00004822615,0.00017097789,0.00003429892,0.00023251625,0.000002092709,0.000043885724,0.0000012056413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000129181,0.00016952708,0.029204985,0.0014623768,0.00043726843,0.0000012694327,0.0080060335,0.19138311,0.3909256,0.20902775,0.0057254513,0.16352746],"study_design_scores_gemma":[0.0065800515,0.00065695314,0.01115549,0.00065072754,0.0007170989,0.00029371702,0.008431987,0.6977025,0.11697875,0.044583883,0.10844784,0.0038009963],"about_ca_topic_score_codex":0.0000011271845,"about_ca_topic_score_gemma":7.5914835e-7,"teacher_disagreement_score":0.80211973,"about_ca_system_score_codex":0.000009437284,"about_ca_system_score_gemma":0.0000027775752,"threshold_uncertainty_score":0.39383864},"labels":[],"label_agreement":null},{"id":"W1974714404","doi":"10.1109/iccw.2013.6649406","title":"Subchannel and power allocation schemes for clustered femtocells in two-tier OFDMA HetNets","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Computer science; Orthogonal frequency-division multiple access; Cluster analysis; Orthogonal frequency-division multiplexing; Interference (communication); Mathematical optimization; Frequency-division multiple access; Resource allocation; Macrocell; Computer network; Transmitter power output; Heterogeneous network; Distributed computing; Base station; Wireless; Mathematics; Wireless network; Telecommunications; Transmitter","score_opus":0.008854419517858692,"score_gpt":0.232013799392077,"score_spread":0.2231593798742183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974714404","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":[0.14832367,0.00043300347,0.8473692,0.00014301586,0.00021929214,0.0012879772,0.000003984033,0.0001930331,0.0020268077],"genre_scores_gemma":[0.9781849,0.000029437522,0.020498827,0.000042910186,0.000029226716,0.00029218433,0.000014040386,0.000032441178,0.00087602844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946314,0.00000695424,0.00018689536,0.00013565582,0.000042330586,0.00016499401],"domain_scores_gemma":[0.9997417,0.000029421906,0.000022377495,0.00010889436,0.000057486355,0.000040148756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005507827,0.00010567092,0.00011752086,0.00007951968,0.000017497412,0.000028010458,0.000043384014,0.00004892316,0.0000764722],"category_scores_gemma":[0.00001495042,0.00010382761,0.000014965873,0.00008431232,0.000009232629,0.00032682085,0.000013754375,0.000039105526,0.000020733325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002320165,0.000057078905,0.0035657908,0.00042901133,0.00005411315,7.4107425e-7,0.0018340809,0.91140515,0.061206285,0.0020242168,0.0062730242,0.013127333],"study_design_scores_gemma":[0.0010445043,0.00001885227,0.0006341459,0.000040930405,0.000003934483,0.0000014872596,0.00019335537,0.98426336,0.012201538,0.00042024167,0.0009635804,0.00021408153],"about_ca_topic_score_codex":0.000058552465,"about_ca_topic_score_gemma":0.000079077356,"teacher_disagreement_score":0.8298612,"about_ca_system_score_codex":0.00003828755,"about_ca_system_score_gemma":0.000004011994,"threshold_uncertainty_score":0.42339668},"labels":[],"label_agreement":null},{"id":"W1974801218","doi":"10.1109/wcnc.2012.6214412","title":"Sum-rate maximization in the multicell MIMO multiple-access channel with interference coordination","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Decodes; Maximization; Telecommunications link; Interference (communication); Computer science; Base station; Channel (broadcasting); Cellular network; Mathematical optimization; Covariance; Algorithm; Computer network; Mathematics; Decoding methods; Statistics","score_opus":0.02194647386539867,"score_gpt":0.2414577252389117,"score_spread":0.21951125137351304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974801218","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":[0.05481084,0.00008062554,0.9414702,0.000053887703,0.00022895253,0.0004988447,0.0000023884745,0.00019024554,0.0026640077],"genre_scores_gemma":[0.99661875,0.000018588491,0.0029488984,0.00004459442,0.000059640945,0.000104439285,0.00003284872,0.00003061628,0.00014164392],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992926,0.000060401635,0.00020070476,0.00011704808,0.00008219825,0.00024705546],"domain_scores_gemma":[0.9995591,0.000108009706,0.00004811849,0.00018607522,0.000062610576,0.000036096884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024371302,0.00014271564,0.00010981288,0.000109579545,0.000038994025,0.000059158996,0.00018717749,0.000055218476,0.000020073236],"category_scores_gemma":[0.000052700692,0.00009917069,0.0000126431405,0.00036779692,0.000016826085,0.0010864172,0.00002115135,0.00010476458,0.000022257847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015698291,0.000038706046,0.0099079665,0.000054823067,0.000006993734,7.206609e-7,0.0013975656,0.9869484,0.0008722374,0.00021953596,0.00008186592,0.00045548804],"study_design_scores_gemma":[0.00057945633,0.000017964365,0.0074026547,0.00005357904,0.000007718533,0.0000038067806,0.0005795403,0.98693025,0.00407894,0.000016203012,0.00013668051,0.000193185],"about_ca_topic_score_codex":0.000064470885,"about_ca_topic_score_gemma":0.00034789063,"teacher_disagreement_score":0.94180787,"about_ca_system_score_codex":0.00007015713,"about_ca_system_score_gemma":0.000004436308,"threshold_uncertainty_score":0.40440634},"labels":[],"label_agreement":null},{"id":"W1975024377","doi":"10.1109/icc.2012.6364955","title":"On the impact of correlated shadowing on the performance of user-in-the-loop for mobility","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Incentive; Computer science; Process (computing); Investment (military); Spectral efficiency; Computer network; Microeconomics; Economics","score_opus":0.01766935094326643,"score_gpt":0.25346133753946143,"score_spread":0.235791986596195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975024377","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":[0.98383087,0.0000294734,0.013300705,0.000021543692,0.00009074406,0.0006597617,0.0000057297134,0.000030096875,0.0020311053],"genre_scores_gemma":[0.99968946,0.0000061305423,0.0001483918,0.000015442685,0.000016872576,0.00004632235,0.0000023462817,0.000014736905,0.000060324193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944717,0.000035056266,0.00021610338,0.00005732774,0.00008202482,0.00016234067],"domain_scores_gemma":[0.9989302,0.0006546026,0.00005243386,0.00031674828,0.000032797496,0.0000132144305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057376927,0.00009293496,0.00011767615,0.00002874252,0.000035362547,0.0000042077622,0.00014913523,0.000042417527,0.000036421206],"category_scores_gemma":[0.0001136018,0.000040844225,0.000065921755,0.0001657975,0.000020523534,0.00012060629,0.000008182991,0.00010747098,0.000005267457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002736991,0.00004456894,0.0052495613,0.00003830218,0.0000192449,1.6221136e-8,0.0006089456,0.9897711,0.0016844334,0.0021901687,0.00021573289,0.00015054841],"study_design_scores_gemma":[0.00028029975,0.00018951224,0.016832078,0.000106833664,0.000010071003,0.0000011460805,0.00047326062,0.96697456,0.014968133,0.000050798557,0.000015242626,0.00009809405],"about_ca_topic_score_codex":0.000029866733,"about_ca_topic_score_gemma":0.0000034269087,"teacher_disagreement_score":0.022796575,"about_ca_system_score_codex":0.00005983154,"about_ca_system_score_gemma":0.0000060184425,"threshold_uncertainty_score":0.16655791},"labels":[],"label_agreement":null},{"id":"W1975176633","doi":"10.1109/tvt.2014.2322626","title":"Best Neighbor Communication in a Poisson Field of Nodes","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Western University","funders":"","keywords":"Fading; Fading distribution; Channel state information; Node (physics); Channel (broadcasting); Computer science; Topology (electrical circuits); Poisson distribution; Computer network; Mathematics; Wireless; Telecommunications; Statistics; Engineering; Rayleigh fading; Combinatorics","score_opus":0.0057805340317796895,"score_gpt":0.2251468592338597,"score_spread":0.21936632520208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975176633","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08614192,0.00016397805,0.9123626,0.00030284125,0.00009915923,0.00015534979,0.0000029429916,0.00028683624,0.00048437616],"genre_scores_gemma":[0.9911808,0.00014893933,0.00852822,0.000020268371,0.0000045019365,0.000066829314,0.0000018908637,0.00002369357,0.000024855482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99941546,0.00002830645,0.00024747834,0.000117988384,0.000056414956,0.0001343512],"domain_scores_gemma":[0.99938315,0.0000726103,0.000038939936,0.0004497266,0.000039131537,0.000016429356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007871921,0.00010473076,0.00018103406,0.00042484197,0.00003343903,0.0000037494892,0.00017095183,0.0002554547,0.000013157361],"category_scores_gemma":[0.000011032161,0.000117686606,0.00003646877,0.00046138532,0.00004283493,0.00008255569,0.0000010817625,0.00027605507,0.00001706062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008223071,0.00007583197,0.000096281496,0.0000517209,0.000021897884,8.447349e-7,0.000070273454,0.9418126,0.028804228,0.0009901936,0.000008146344,0.028059788],"study_design_scores_gemma":[0.00070336676,0.00018029474,0.000038418377,0.00024603796,0.000028600245,0.0000131679535,0.00016489459,0.37966964,0.6170465,0.001153082,0.0005281835,0.00022784296],"about_ca_topic_score_codex":0.00003863156,"about_ca_topic_score_gemma":0.00016185218,"teacher_disagreement_score":0.9050389,"about_ca_system_score_codex":0.000051622523,"about_ca_system_score_gemma":0.00000498176,"threshold_uncertainty_score":0.47991204},"labels":[],"label_agreement":null},{"id":"W1975360388","doi":"10.1109/vetecf.2010.5594087","title":"On Capacity-Maximizing Angular Densities of Multipath in MIMO Channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Toeplitz matrix; Kronecker delta; Multipath propagation; Fading; Antenna (radio); Topology (electrical circuits); Mathematics; Antenna array; Channel capacity; Monte Carlo method; Applied mathematics; Telecommunications; Physics; Computer science; Algorithm; Statistics; Combinatorics; Beamforming; Channel (broadcasting); Pure mathematics; Quantum mechanics","score_opus":0.010019893201792834,"score_gpt":0.202872807979821,"score_spread":0.19285291477802816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975360388","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":[0.8753591,0.000020914986,0.12086379,0.000006326263,0.0005245092,0.00014469311,0.0000031323748,0.00014664647,0.0029308628],"genre_scores_gemma":[0.97521144,0.0000035721316,0.024603363,0.000010524256,0.000039334278,0.000010375495,0.000002870759,0.000024280533,0.0000942136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950963,0.000009397667,0.00018212125,0.00009315535,0.00006609236,0.00013959121],"domain_scores_gemma":[0.9997016,0.0000477884,0.000023782557,0.00016726882,0.000032335647,0.000027221568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088015804,0.000095290176,0.00014960377,0.00013776758,0.000012682414,0.0000066197,0.000057873003,0.0000759904,0.000030155245],"category_scores_gemma":[0.000047104626,0.0000954192,0.000022834636,0.00011019,0.00001906273,0.00011457419,0.000009223686,0.00014629343,0.000010331241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033387016,0.000014095595,0.0002948758,0.00006190906,0.000006017702,0.000002877451,0.0009800013,0.8660742,0.12925637,0.0029275238,0.00003536874,0.00034343998],"study_design_scores_gemma":[0.0005196806,0.000027662303,0.0003106703,0.0000995124,0.0000035658425,0.000006184712,0.0004019272,0.66626996,0.3313995,0.0006384481,0.00008320981,0.00023970613],"about_ca_topic_score_codex":0.00006531047,"about_ca_topic_score_gemma":0.0002105867,"teacher_disagreement_score":0.20214312,"about_ca_system_score_codex":0.000023292465,"about_ca_system_score_gemma":0.0000034211791,"threshold_uncertainty_score":0.3891082},"labels":[],"label_agreement":null},{"id":"W1976416527","doi":"10.1049/iet-com.2008.0414","title":"Antenna parameter effects on spatial channel models","year":2009,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Spatial correlation; Channel (broadcasting); Antenna (radio); MIMO; Antenna array; Channel capacity; Computer science; Coupling (piping); Orientation (vector space); Electronic engineering; Telecommunications; Topology (electrical circuits); Mathematics; Geometry; Engineering","score_opus":0.02361615752610114,"score_gpt":0.2533806091973505,"score_spread":0.22976445167124937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976416527","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":[0.0013674587,0.0005898769,0.9839112,0.0005962512,0.00015272737,0.00037054563,0.000009507913,0.0005786125,0.012423807],"genre_scores_gemma":[0.9837489,0.0002848507,0.015552336,0.0001822422,0.0000454036,0.000060775477,0.00004525488,0.000024175155,0.00005605346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994688,0.00004622645,0.00016584185,0.00009808773,0.000067639296,0.00015341792],"domain_scores_gemma":[0.9984476,0.00017233775,0.000029580118,0.0012628003,0.000040366165,0.000047317495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005459541,0.00011722786,0.00012666963,0.00007498929,0.00010030815,0.00002203223,0.0003906402,0.00006328798,0.000002682542],"category_scores_gemma":[0.00003579559,0.00012437497,0.000040175524,0.00014195447,0.000019124653,0.0001775051,0.000031900454,0.00016868499,0.000060864568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069296666,0.00009018729,0.0000063650796,0.000023982568,0.00002715228,0.0000011811157,0.0006698516,0.9656239,0.0033467035,0.005711975,0.00073772966,0.023753999],"study_design_scores_gemma":[0.00020259195,0.000053755564,0.00014730183,0.00007096224,0.000008851761,0.0000022484976,0.000013953889,0.99195325,0.0010124779,0.005994327,0.0003944111,0.00014585533],"about_ca_topic_score_codex":0.0000115445055,"about_ca_topic_score_gemma":0.000016823578,"teacher_disagreement_score":0.98238146,"about_ca_system_score_codex":0.00005503379,"about_ca_system_score_gemma":0.000004973274,"threshold_uncertainty_score":0.5071864},"labels":[],"label_agreement":null},{"id":"W1976503458","doi":"10.1109/isit.2005.1523552","title":"LLLl lattice-basis reduction achieves the maximum diversity in MIMO systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lattice reduction; Fading; MIMO; Decoding methods; Reduction (mathematics); Computer science; Lattice (music); Electronic engineering; Mathematics; Algorithm; Telecommunications; Engineering; Physics","score_opus":0.01543507503325604,"score_gpt":0.2109341263468061,"score_spread":0.19549905131355008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976503458","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":[0.4094411,0.0019889188,0.5357955,0.0012295421,0.0023943158,0.001414213,0.000013213325,0.0015357764,0.046187393],"genre_scores_gemma":[0.99562985,0.00006052125,0.0032044514,0.000011251291,0.00018185512,0.000015763793,0.000004149081,0.000017966022,0.00087417866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993947,0.00003372858,0.000186811,0.00012278542,0.00009560397,0.0001663532],"domain_scores_gemma":[0.9996906,0.000026072055,0.000027645268,0.0002020178,0.000024268256,0.000029427316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015163134,0.00010329843,0.0001096386,0.00007616997,0.000101642356,0.000026869842,0.00012345957,0.000064524516,0.000027840708],"category_scores_gemma":[0.000010850433,0.00008197692,0.000026200985,0.00020830974,0.000019508874,0.0003231834,0.000051748542,0.000110584304,0.00010033981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004190247,0.0000115757375,0.0005081387,0.000031970132,0.0000122534075,6.704716e-7,0.00045687016,0.99442196,0.0005249879,0.0009860719,0.00054943864,0.0024918488],"study_design_scores_gemma":[0.0008984282,0.00003554201,0.003224332,0.0001332979,0.000049895185,0.000060427523,0.0048562237,0.9755678,0.00446463,0.0004854947,0.009569245,0.0006546902],"about_ca_topic_score_codex":0.00017894794,"about_ca_topic_score_gemma":0.00015370983,"teacher_disagreement_score":0.58618873,"about_ca_system_score_codex":0.00018524882,"about_ca_system_score_gemma":0.0000040603004,"threshold_uncertainty_score":0.33429217},"labels":[],"label_agreement":null},{"id":"W1976517744","doi":"10.1109/bsc.2008.4563223","title":"Efficient design of optimal transmitter for MIMO systems using decision feedback receivers","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transmitter; MIMO; Channel state information; Fading; Precoding; Computer science; Transmission (telecommunications); Channel (broadcasting); Convex optimization; Multi-user MIMO; Transmitter power output; Wireless; Communications system; Control theory (sociology); Minimum mean square error; Electronic engineering; Mathematical optimization; Mathematics; Telecommunications; Regular polygon; Engineering","score_opus":0.03158580385897581,"score_gpt":0.2365266799520385,"score_spread":0.2049408760930627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976517744","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":[0.07674216,0.0002293502,0.9215991,0.0000016999552,0.00038674264,0.00071953476,0.000007211749,0.0001283294,0.0001858888],"genre_scores_gemma":[0.5975165,0.000016409967,0.40232405,0.000002223649,0.000028632738,0.000015862628,0.0000021959436,0.000032869662,0.00006130021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991627,0.000017890934,0.00034812995,0.00015271422,0.00012218583,0.00019642276],"domain_scores_gemma":[0.99950343,0.00014072725,0.000047048878,0.00016073795,0.00010071269,0.000047358128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012526888,0.00013596402,0.00022749192,0.00010816405,0.000057554153,0.0000072221865,0.00008510081,0.00008332956,0.0000121867315],"category_scores_gemma":[0.000017260267,0.00012889442,0.000060666305,0.00016173054,0.000024829396,0.00007033597,0.0000053160884,0.000040857958,0.0000057734087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039292296,0.000011471201,0.000013982725,0.00008650276,0.000017711855,0.0000013413721,0.0002534741,0.9861353,0.012929326,0.000021644517,0.0002654357,0.0002245333],"study_design_scores_gemma":[0.0006275218,0.000037201207,0.000010125047,0.0000971319,0.000013898053,0.000025115916,0.00012559589,0.99202716,0.006804516,0.0000024591418,0.000086680826,0.00014259476],"about_ca_topic_score_codex":0.000010474993,"about_ca_topic_score_gemma":2.9063276e-7,"teacher_disagreement_score":0.5207743,"about_ca_system_score_codex":0.00009984199,"about_ca_system_score_gemma":0.000015472862,"threshold_uncertainty_score":0.5256162},"labels":[],"label_agreement":null},{"id":"W1976537743","doi":"10.1109/twc.2014.2327030","title":"Partially-Distributed Resource Allocation in Small-Cell Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Resource allocation; Scheduling (production processes); Telecommunications link; Distributed computing; Resource management (computing); Orthogonal frequency-division multiple access; Mathematical optimization; Cellular network; Radio resource management; Computational complexity theory; Orthogonal frequency-division multiplexing; Wireless network; Computer network; Wireless; Algorithm; Mathematics; Telecommunications","score_opus":0.016503212924700895,"score_gpt":0.2260339828859279,"score_spread":0.20953076996122702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976537743","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":[0.0044670147,0.00013409152,0.99239874,0.00022353874,0.00017827567,0.0003739253,0.000022185792,0.0005455136,0.0016567056],"genre_scores_gemma":[0.99285114,0.00043715208,0.00603459,0.000049825525,0.000026364123,0.0003195577,0.0001284705,0.00006382925,0.00008905052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987584,0.00020940886,0.00046698283,0.00020418955,0.00008284258,0.00027822432],"domain_scores_gemma":[0.9979674,0.0003018225,0.000070171845,0.0015046288,0.00006807813,0.000087849534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023727099,0.00020344897,0.00021428303,0.00019575715,0.00023049998,0.000039052466,0.00056855683,0.00016757108,0.000012411634],"category_scores_gemma":[0.000006085546,0.00025039175,0.000064352775,0.0006430958,0.00006847183,0.0001569602,0.0000041535477,0.00049179274,0.000039578917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068257623,0.00012846178,0.000019026387,0.000019358287,0.000012323919,1.8138824e-7,0.00016066156,0.9871523,0.00096712745,0.00040978883,0.000066694236,0.011057257],"study_design_scores_gemma":[0.00050852465,0.000023381523,0.000059407346,0.00007657729,0.000020311645,0.000002041634,0.00009465617,0.99203545,0.0043081306,0.000044371194,0.0025848546,0.00024231772],"about_ca_topic_score_codex":0.000045873596,"about_ca_topic_score_gemma":0.0014445555,"teacher_disagreement_score":0.9883841,"about_ca_system_score_codex":0.0001939256,"about_ca_system_score_gemma":0.000017756638,"threshold_uncertainty_score":0.9999948},"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":"W1977139097","doi":"10.1109/icc.2014.6883458","title":"Performance analysis of poisson cellular networks with lognormal shadowed Rayleigh fading","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spectral efficiency; Rayleigh fading; Stochastic geometry; Fading; Log-normal distribution; Computer science; Telecommunications link; Base station; Poisson point process; Transmission (telecommunications); Coverage probability; Cellular network; Poisson distribution; Mathematics; Topology (electrical circuits); Algorithm; Electronic engineering; Statistics; Telecommunications; Engineering; Beamforming; Channel (broadcasting)","score_opus":0.003697182410967754,"score_gpt":0.1665973842868917,"score_spread":0.16290020187592394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977139097","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":[0.1863002,0.000037892034,0.8066046,0.0000020403659,0.00005495129,0.000074024785,6.631655e-7,0.00015496158,0.0067706234],"genre_scores_gemma":[0.9867915,0.000018499273,0.012942279,0.000007987335,0.000041596635,0.000007069735,0.00002896167,0.000026254018,0.00013585329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993299,0.000014734701,0.00023405607,0.00012813216,0.000095659394,0.00019746363],"domain_scores_gemma":[0.99958676,0.000032550157,0.00005904105,0.00022426399,0.000052619165,0.000044783053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012997272,0.00012716823,0.00027771457,0.00020124944,0.000032196138,0.000009825973,0.0000920003,0.0000625136,0.00006426811],"category_scores_gemma":[0.000005665077,0.000107552274,0.00004848583,0.0007526764,0.00001674412,0.00019690482,0.000012380548,0.000075040734,0.0000028665124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069354,0.000004151501,0.010885913,0.00003272275,0.0001876377,3.0974414e-7,0.000057627498,0.9865547,0.0010804767,0.000085166495,0.0000146469965,0.0010897067],"study_design_scores_gemma":[0.0001885985,0.000035670873,0.0014640504,0.000022889151,0.00019161271,6.8917336e-7,0.000024921821,0.9919282,0.0059337793,7.5577225e-7,0.00006774423,0.00014103994],"about_ca_topic_score_codex":0.000016981608,"about_ca_topic_score_gemma":0.000029423327,"teacher_disagreement_score":0.8004913,"about_ca_system_score_codex":0.0000318649,"about_ca_system_score_gemma":0.0000026012215,"threshold_uncertainty_score":0.43858543},"labels":[],"label_agreement":null},{"id":"W1977999980","doi":"10.1109/bwcca.2012.44","title":"Transmit Antenna Selection for Downlink Transmission in a Massively Distributed Antenna System Using Convex Optimization","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Antenna (radio); Distributed antenna system; Spatial multiplexing; Reconfigurable antenna; Electronic engineering; MIMO; Omnidirectional antenna; Antenna efficiency; Telecommunications; Engineering","score_opus":0.015190239418821713,"score_gpt":0.23346333766947164,"score_spread":0.21827309825064992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977999980","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":[0.004624082,0.00039422157,0.99271923,0.000019177052,0.0003458339,0.0010811093,0.00004790238,0.0006538729,0.000114579794],"genre_scores_gemma":[0.8497266,0.000036763417,0.14978096,0.0000067345645,0.000106736145,0.00008376908,0.00016324923,0.00006904847,0.000026116208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998585,0.000045813806,0.0005348119,0.00021926698,0.000118247044,0.00049688754],"domain_scores_gemma":[0.9995026,0.000050375525,0.000075451804,0.00011490035,0.00012812148,0.00012854455],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023106772,0.0002522543,0.0003307929,0.00022265883,0.00009195016,0.000030204232,0.00007862107,0.00020929806,0.000022100927],"category_scores_gemma":[0.000017253482,0.00024899046,0.00007801038,0.00057493115,0.00001474453,0.0007605975,0.0000045237134,0.00012371074,0.0000030219041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046563076,0.000032609583,0.0008926979,0.0004721536,0.000023648136,6.167623e-7,0.00024105837,0.96068704,0.036943257,0.00017990073,0.000013374976,0.00046709538],"study_design_scores_gemma":[0.0011014977,0.00002600507,0.00012106992,0.00027173123,0.00004056419,0.000036890793,0.0003463916,0.9942492,0.0033809182,0.0000044173894,0.00012559177,0.000295679],"about_ca_topic_score_codex":0.00002578703,"about_ca_topic_score_gemma":0.0000072531266,"teacher_disagreement_score":0.84510255,"about_ca_system_score_codex":0.0004901564,"about_ca_system_score_gemma":0.00002062208,"threshold_uncertainty_score":0.99999624},"labels":[],"label_agreement":null},{"id":"W1978070145","doi":"10.1109/wcnc.2013.6555093","title":"Enhanced preamble detection for PRACH in LTE","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Preamble; Computer science; Base station; Rayleigh fading; Channel (broadcasting); Real-time computing; Random access; Computer network; Fading; Electronic engineering; Algorithm; Telecommunications; Engineering","score_opus":0.005823900627779969,"score_gpt":0.21280541617809184,"score_spread":0.20698151555031188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978070145","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":[0.03140381,0.000024192163,0.960472,0.000006815643,0.00015123234,0.000634112,4.450321e-7,0.00024146684,0.007065939],"genre_scores_gemma":[0.9730403,0.000005560818,0.025338773,0.0000061791093,0.000032544845,0.0004904413,0.000003070681,0.000019754134,0.0010633868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996538,0.0000041433204,0.00012196345,0.00007825845,0.00002496844,0.00011683345],"domain_scores_gemma":[0.999832,0.000023606868,0.000013087482,0.00008152994,0.00003208519,0.000017697712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035672987,0.00005624202,0.00006460437,0.000049869024,0.000012184307,0.000012431099,0.000028104272,0.00004256307,0.000041709172],"category_scores_gemma":[0.000024361501,0.000056389574,0.00001243742,0.00009211777,0.000002454174,0.00030220347,0.0000038500716,0.00003188454,0.00005655021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025708111,0.0000071964437,0.000021404547,0.000057075627,0.000004360294,4.0873417e-8,0.000100726116,0.71697754,0.26204842,0.000106510444,0.00014871717,0.020525439],"study_design_scores_gemma":[0.0002727702,0.000018439006,0.00014371077,0.000010779974,0.0000012885629,6.066933e-7,0.00005436108,0.6655082,0.33338362,0.0002642801,0.00025292457,0.0000889969],"about_ca_topic_score_codex":0.000041893858,"about_ca_topic_score_gemma":0.00014861878,"teacher_disagreement_score":0.9416365,"about_ca_system_score_codex":0.00005816614,"about_ca_system_score_gemma":0.0000021932062,"threshold_uncertainty_score":0.22995001},"labels":[],"label_agreement":null},{"id":"W1978166805","doi":"10.1109/vetecf.2010.5594304","title":"Utilizing Multipath Clusters in Cognitive Radio Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Carleton University","funders":"","keywords":"Multipath propagation; Base station; Cognitive radio; Computer science; Interference (communication); Exploit; Transmission (telecommunications); Computer network; Wireless; Key (lock); White spaces; Cluster (spacecraft); Telecommunications; Channel (broadcasting); Computer security","score_opus":0.013617012503861319,"score_gpt":0.2408472121329032,"score_spread":0.22723019962904187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978166805","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":[0.2583602,0.00021871467,0.69982874,0.000008432786,0.0022121149,0.0007409898,0.000007602458,0.0007832027,0.037839998],"genre_scores_gemma":[0.9960402,0.00000941743,0.0036059374,0.000007022908,0.00006965143,0.000045188906,0.000008317164,0.000033485212,0.00018075238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993944,0.000012890423,0.0002123323,0.00012959901,0.00006132268,0.00018944457],"domain_scores_gemma":[0.99971527,0.00007114015,0.000020590605,0.00011328235,0.000031135423,0.000048600297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010973842,0.00010959127,0.00013748718,0.00011412767,0.00001945481,0.000024666737,0.00006023803,0.000086005464,0.000021932276],"category_scores_gemma":[0.00005203011,0.000110821056,0.000018303681,0.00015212405,0.000014792528,0.00020889075,0.00001182673,0.00019405343,0.000033875942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000093515355,0.000021442662,0.0035812962,0.00014333118,0.000022814273,0.000018562092,0.0010028047,0.9632724,0.026605796,0.0013907603,0.0001324341,0.0037990261],"study_design_scores_gemma":[0.00043513055,0.000006047163,0.00026075402,0.00007994993,0.0000036296926,0.000014712268,0.0014472817,0.9959896,0.0014512026,0.0000073944607,0.00013461392,0.00016966008],"about_ca_topic_score_codex":0.000055387038,"about_ca_topic_score_gemma":0.00024715532,"teacher_disagreement_score":0.73768,"about_ca_system_score_codex":0.000043910608,"about_ca_system_score_gemma":0.0000060827556,"threshold_uncertainty_score":0.45191514},"labels":[],"label_agreement":null},{"id":"W1978207491","doi":"10.1109/acssc.2013.6810627","title":"Degrees of freedom achieved using subspace alignment chains for three-cell networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Subspace topology; MIMO; Computer science; Topology (electrical circuits); Beamforming; Tuple; Algorithm; Combinatorics; Artificial intelligence; Discrete mathematics; Mathematics; Telecommunications","score_opus":0.015412926658299818,"score_gpt":0.2116100254007062,"score_spread":0.19619709874240637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978207491","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":[0.023734571,0.00027698334,0.97382116,0.000010717596,0.00025081707,0.0007774641,0.0000034498091,0.00015616651,0.00096867856],"genre_scores_gemma":[0.79967934,0.000012868408,0.19979793,0.0000037204297,0.000088676155,0.000058133286,0.000008306329,0.000044383323,0.0003066325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999347,0.000007133383,0.00023489053,0.000119118784,0.00006769619,0.00022421658],"domain_scores_gemma":[0.9995735,0.000049879705,0.000057354075,0.00020253993,0.00006679765,0.000049909697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000634283,0.00013369111,0.00018146973,0.000042354954,0.00003198343,0.0000142814,0.00009193723,0.00007975656,0.000042131407],"category_scores_gemma":[0.000006987325,0.00012590623,0.000049394876,0.00009378309,0.000016453147,0.00016241574,0.000020044763,0.00004333069,0.000004699752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002231089,0.000011133192,0.00041024826,0.00005564199,0.00001733474,7.447076e-8,0.00005299892,0.98724943,0.011176039,0.00040358288,0.00034860912,0.00027264786],"study_design_scores_gemma":[0.0003711884,0.000023379622,0.00013769626,0.000026015994,0.000012004524,6.4848774e-7,0.000090503985,0.9965556,0.0025778608,0.000021974807,0.00004558371,0.00013752098],"about_ca_topic_score_codex":0.00016351626,"about_ca_topic_score_gemma":0.00020284037,"teacher_disagreement_score":0.77594477,"about_ca_system_score_codex":0.00006309507,"about_ca_system_score_gemma":0.0000054369325,"threshold_uncertainty_score":0.5134307},"labels":[],"label_agreement":null},{"id":"W1978244168","doi":"10.1109/twc.2014.2348565","title":"Location-Aware Cross-Tier Coordinated Multipoint Transmission in Two-Tier Cellular Networks","year":2014,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Computer science; Cellular network; Backhaul (telecommunications); Computer network; Base station; Telecommunications link; Interference (communication); Transmission (telecommunications); Heterogeneous network; Stochastic geometry; Transmitter power output; Channel (broadcasting); Wireless network; Wireless; Telecommunications; Transmitter","score_opus":0.01637117157834364,"score_gpt":0.275296941648334,"score_spread":0.2589257700699904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978244168","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":[0.0036435141,0.0015845288,0.990246,0.00017135976,0.0012449197,0.0016346568,0.00008366302,0.0010346179,0.00035671613],"genre_scores_gemma":[0.984925,0.0018515374,0.010603411,0.000040735533,0.00007212677,0.0014805973,0.00046187552,0.00027038544,0.00029432948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967364,0.00042098796,0.0013248661,0.0006811074,0.00027354585,0.00056308456],"domain_scores_gemma":[0.9949878,0.00038045392,0.00026157367,0.0037145414,0.000436877,0.00021874045],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004099195,0.0007395147,0.0007820487,0.00065932283,0.00048802316,0.00016724324,0.0015697283,0.0007251698,0.00006147924],"category_scores_gemma":[0.000007723844,0.00088458264,0.00026655782,0.0009079984,0.00025256752,0.0003051807,0.000028636567,0.0027195597,0.000058471123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002526489,0.0002519245,0.000033998283,0.00032762802,0.00010292886,0.0000017463016,0.00056909275,0.98434377,0.0007516936,0.00005205171,0.000046399866,0.013493526],"study_design_scores_gemma":[0.0011712178,0.000020682852,0.00005648884,0.0013562565,0.000086611435,0.0000035374026,0.000067649045,0.9919123,0.0038392155,0.00008419484,0.0006018087,0.0008000388],"about_ca_topic_score_codex":0.00033807388,"about_ca_topic_score_gemma":0.00066641095,"teacher_disagreement_score":0.98128146,"about_ca_system_score_codex":0.0007574261,"about_ca_system_score_gemma":0.00012331853,"threshold_uncertainty_score":0.9995812},"labels":[],"label_agreement":null},{"id":"W1978393717","doi":"10.1109/glocom.2014.7037377","title":"Distributed and QoS-driven cell association in HetNets to minimize global outage probability","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Heterogeneous network; Quality of service; Telecommunications link; Base station; Distributed computing; Mathematical optimization; Computer network; Wireless network; Wireless; Mathematics","score_opus":0.004752373858557064,"score_gpt":0.19837292516269892,"score_spread":0.19362055130414185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978393717","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":[0.17069605,0.000013630877,0.82409334,0.000087066015,0.0001711409,0.00036390356,0.000042349962,0.00021802372,0.0043144976],"genre_scores_gemma":[0.9742714,0.000002517604,0.025497684,0.000023731116,0.00003332595,0.00002488899,0.000031417727,0.0000100482475,0.00010494989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993335,0.00003705501,0.00020532832,0.00016328612,0.00007990525,0.00018090205],"domain_scores_gemma":[0.99969167,0.000048046542,0.00003041398,0.00012681291,0.000035191733,0.00006784574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015586897,0.00009934318,0.00015093482,0.000022094713,0.000015641237,0.00002196221,0.00004926255,0.00008453869,0.000009347899],"category_scores_gemma":[0.00015695306,0.000104047605,0.000014560364,0.00017607748,0.0000043639643,0.00010784214,0.000025267263,0.000049755272,0.000019536881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005672334,0.000021320713,0.1429944,0.00006289623,0.000004795935,3.9812616e-7,0.00010385077,0.8548992,0.0005588652,0.00021764994,0.0005875457,0.0005433408],"study_design_scores_gemma":[0.0015267504,0.0000473707,0.18869066,0.000042359734,0.0000125296065,0.0000012948368,0.0000760165,0.8045888,0.0015607505,0.0006595109,0.0023300145,0.00046397376],"about_ca_topic_score_codex":0.00003103122,"about_ca_topic_score_gemma":0.00024805902,"teacher_disagreement_score":0.8035754,"about_ca_system_score_codex":0.00047796906,"about_ca_system_score_gemma":0.000004492528,"threshold_uncertainty_score":0.42429382},"labels":[],"label_agreement":null},{"id":"W1978518631","doi":"10.1109/tpds.2012.327","title":"Routing Metrics for Minimizing End-to-End Delay in Multiradio Multichannel Wireless Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Parallel and Distributed Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Computer science; Computer network; End-to-end principle; Routing (electronic design automation); Wireless; Distributed computing; Telecommunications","score_opus":0.020955469517039433,"score_gpt":0.24073480808495146,"score_spread":0.219779338567912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978518631","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":[0.01364082,0.00089237717,0.9820781,0.000012021425,0.0016427248,0.0010880477,0.00036409587,0.00025466725,0.000027164178],"genre_scores_gemma":[0.9937423,0.00008273364,0.0052631786,0.000010962375,0.00015408397,0.0005596858,0.00008606221,0.00006685876,0.000034149587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998258,0.000062927225,0.0006100605,0.00027885244,0.00014280852,0.00064734684],"domain_scores_gemma":[0.99901545,0.00035562663,0.000080221915,0.0002126405,0.000070460956,0.00026558523],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036305838,0.00030570893,0.0004330755,0.00029827905,0.00017693102,0.00006461107,0.00010358943,0.00022447249,0.0000025381848],"category_scores_gemma":[0.000018689576,0.00032196977,0.00008221931,0.0006476023,0.000020070784,0.000321175,0.0000016398797,0.00022889182,0.0000060129437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043123353,0.0000697926,0.00017194194,0.00012342661,0.000054230088,0.0000015603135,0.0005060401,0.99615574,0.00031931666,0.000060701575,0.000051465802,0.0024426756],"study_design_scores_gemma":[0.000980378,0.000038484006,0.000080988844,0.00015027577,0.00004038235,0.000021474465,0.0009458278,0.99695927,0.00020812947,0.0000017026931,0.00021653765,0.0003565358],"about_ca_topic_score_codex":0.000119192264,"about_ca_topic_score_gemma":0.000073905,"teacher_disagreement_score":0.98010147,"about_ca_system_score_codex":0.00025665705,"about_ca_system_score_gemma":0.000009774776,"threshold_uncertainty_score":0.9999232},"labels":[],"label_agreement":null},{"id":"W1978841371","doi":"10.1109/iwcmc.2013.6583831","title":"Downlink interference cancellation strategy for shared-spectrum LTE HetNet","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Heterogeneous network; Femtocell; Computer science; Telecommunications link; Computer network; Single antenna interference cancellation; Throughput; Interference (communication); Base station; LTE Advanced; User equipment; Femto-; Telecommunications; Wireless network; Wireless","score_opus":0.017573506086871162,"score_gpt":0.23541133972393413,"score_spread":0.21783783363706297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978841371","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":[0.0026393032,0.0001056734,0.9818594,0.00007000808,0.00026147187,0.00060634647,0.000015347176,0.0004189626,0.0140235],"genre_scores_gemma":[0.9854651,0.000023667742,0.012129995,0.000017292077,0.000107894164,0.00017500849,0.000062190455,0.00002934517,0.0019895206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994236,0.000005023538,0.00019747853,0.00013879212,0.000041837397,0.00019325352],"domain_scores_gemma":[0.9996981,0.000025994805,0.000027837152,0.0001469961,0.00005454748,0.000046544224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029750487,0.000113995506,0.00010901097,0.000046404977,0.00002888257,0.000057865625,0.0000813695,0.00005867432,0.0006882575],"category_scores_gemma":[0.000007635091,0.00010907278,0.000024798886,0.000082972125,0.000007703764,0.00037511793,0.000009488217,0.000054882083,0.00013757161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023527853,0.0000037327873,0.00007352405,0.000057233978,0.0000108820295,1.093737e-7,0.000077652265,0.9852434,0.003472356,0.0014690448,0.005224372,0.0043653883],"study_design_scores_gemma":[0.00021294443,0.00003832239,0.00015554224,0.000024250925,0.0000034187767,0.0000014659369,0.00006464406,0.9912646,0.005447779,0.0015776232,0.0010379443,0.00017145423],"about_ca_topic_score_codex":0.00009043698,"about_ca_topic_score_gemma":0.00015290082,"teacher_disagreement_score":0.98282576,"about_ca_system_score_codex":0.00008483404,"about_ca_system_score_gemma":0.000008936641,"threshold_uncertainty_score":0.75359374},"labels":[],"label_agreement":null},{"id":"W1979567712","doi":"10.1109/infocom.2014.6848040","title":"A college admissions game for uplink user association in wireless small cell networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Small cell; Computer science; Macro; Telecommunications link; Computer network; Base station; Node (physics); Convergence (economics); Network packet; Quality of service; Incentive; Association (psychology); Wireless; Service (business); Matching (statistics); Mathematical optimization; Telecommunications; Mathematics; Engineering; Microeconomics","score_opus":0.006574788612106211,"score_gpt":0.1990943804304313,"score_spread":0.19251959181832506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979567712","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":[0.010942019,0.00002844141,0.98403996,0.000046146204,0.00030228466,0.00046413,0.00000517649,0.00024235378,0.0039294926],"genre_scores_gemma":[0.97320575,0.000019840709,0.020787144,0.000053431228,0.00012701169,0.00012870193,0.000028247718,0.000049123068,0.0056007295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993347,0.000020154836,0.0002340121,0.00012879995,0.000045610213,0.00023673676],"domain_scores_gemma":[0.9994851,0.00020651516,0.000050039285,0.00012746411,0.00005227839,0.00007864809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019678072,0.00010629936,0.00016068896,0.00006303305,0.000026278703,0.00001328592,0.00006882415,0.0001607483,0.000024548752],"category_scores_gemma":[0.0000921218,0.00010983981,0.000035046985,0.00016886028,0.0000018559723,0.0000876828,0.000011506985,0.000094865645,0.000009363888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004093705,0.000013678757,0.001076149,0.000037810518,0.00000518107,1.7175985e-7,0.00005780844,0.994652,0.00051612564,0.001004524,0.002293599,0.00033890834],"study_design_scores_gemma":[0.0006585176,0.000014379887,0.00016409742,0.000030417226,0.0000060269394,2.1761632e-7,0.000034843542,0.993342,0.00083520456,0.00008357994,0.0046908786,0.00013985498],"about_ca_topic_score_codex":0.000006633047,"about_ca_topic_score_gemma":0.0001470134,"teacher_disagreement_score":0.96325284,"about_ca_system_score_codex":0.00021761387,"about_ca_system_score_gemma":0.00001262704,"threshold_uncertainty_score":0.44791377},"labels":[],"label_agreement":null},{"id":"W1979755618","doi":"10.1109/tvt.2012.2210957","title":"Vector Perturbation Precoding for Network MIMO: Sum Rate, Fair User Scheduling, and Impact of Backhaul Delay","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Backhaul (telecommunications); Precoding; MIMO; Upper and lower bounds; Scheduling (production processes); Base station; Computer science; Mathematical optimization; Mathematics; Control theory (sociology); Computer network; Channel (broadcasting)","score_opus":0.009849802120135963,"score_gpt":0.24047058718048495,"score_spread":0.23062078506034897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979755618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22569239,0.00062319863,0.772393,0.00002710911,0.00040996206,0.0004466173,0.000019695208,0.0003672904,0.000020771537],"genre_scores_gemma":[0.9704428,0.00011813939,0.029076297,0.0000052841356,0.00006685073,0.0001645921,0.000008726094,0.000060666756,0.00005666075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908006,0.000024807747,0.00029139107,0.00018072316,0.00005561739,0.0003673765],"domain_scores_gemma":[0.99943954,0.0000896692,0.000074156094,0.00024574774,0.00008996415,0.000060931823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016255012,0.00020197582,0.00026567484,0.00026878022,0.000103252074,0.000010240277,0.00008804086,0.00035424085,0.000016071255],"category_scores_gemma":[0.000017295706,0.00020021592,0.00010905387,0.00039512257,0.00005295053,0.0002840686,0.0000013471782,0.00021891935,0.0000051779393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002262706,0.00003713067,0.00033749343,0.00007274203,0.00013227628,3.2355678e-7,0.00006784899,0.9707172,0.02582126,0.00025719716,0.000040903138,0.0024929922],"study_design_scores_gemma":[0.0014915415,0.00044086736,0.00047127588,0.00021651635,0.0001930418,0.00006709333,0.00014710135,0.83228284,0.16279945,0.00043138466,0.00083824905,0.00062063814],"about_ca_topic_score_codex":0.000005566536,"about_ca_topic_score_gemma":0.000012674974,"teacher_disagreement_score":0.7447504,"about_ca_system_score_codex":0.00014029547,"about_ca_system_score_gemma":0.000014593259,"threshold_uncertainty_score":0.81645685},"labels":[],"label_agreement":null},{"id":"W1979822217","doi":"10.1155/2011/918315","title":"User Effects on MIMO Performance: From an Antenna to a Link Perspective","year":2011,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"MIMO; Macrocell; Channel (broadcasting); Antenna (radio); Computer science; Channel capacity; Cumulative distribution function; Electronic engineering; Multipath propagation; Path loss; Fading; MIMO-OFDM; Multi-user MIMO; Telecommunications; Engineering; Probability density function; Base station; Mathematics; Statistics; Wireless","score_opus":0.010931910721269165,"score_gpt":0.24413848077400171,"score_spread":0.23320657005273254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979822217","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":[0.7863006,0.00016806193,0.21113609,0.00024490082,0.0012659474,0.00017988666,0.0000075769763,0.00004384736,0.0006530762],"genre_scores_gemma":[0.99222255,0.00016638053,0.006838292,0.00013000202,0.0005849061,0.0000047351205,0.000006085601,0.000021291626,0.000025756408],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929863,0.000025800307,0.00026704842,0.000110705754,0.0002046789,0.00009312287],"domain_scores_gemma":[0.9991911,0.000030872237,0.00011714886,0.00007439904,0.0004984245,0.00008807352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012313311,0.00011342748,0.00013446533,0.00021507472,0.000029573366,0.000039819304,0.00014367627,0.000049645092,0.00001853594],"category_scores_gemma":[0.000056280896,0.000096133626,0.000033485474,0.00007544963,0.000013316464,0.0006010089,0.000013771837,0.00013629223,0.000010914182],"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":[0.0052433615,0.0005853084,0.0341481,0.0002308611,0.0017414956,0.0004963249,0.062086217,0.041300286,0.38657957,0.007852816,0.00064766896,0.459088],"study_design_scores_gemma":[0.00636298,0.006789397,0.25629774,0.0038299435,0.00018981482,0.0005672675,0.0038207825,0.46958166,0.24288426,0.0063991086,0.0017681029,0.0015089443],"about_ca_topic_score_codex":0.000027331836,"about_ca_topic_score_gemma":0.0000062526756,"teacher_disagreement_score":0.45757905,"about_ca_system_score_codex":0.00011063036,"about_ca_system_score_gemma":0.00001427264,"threshold_uncertainty_score":0.39202157},"labels":[],"label_agreement":null},{"id":"W1980352437","doi":"10.1109/tvt.2008.923668","title":"Collaborative Uplink Transmit Beamforming With Robustness Against Channel Estimation Errors","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Robustness (evolution); Telecommunications link; Base station; Relay; Channel state information; Fading; Precoding; Computer science; Channel (broadcasting); Electronic engineering; Engineering; Wireless; MIMO; Computer network; Telecommunications; Power (physics)","score_opus":0.004472029265301967,"score_gpt":0.20522742342350947,"score_spread":0.2007553941582075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980352437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033894118,0.000127039,0.96278155,0.00039009424,0.00020107912,0.00060923665,0.0000130123935,0.0017940842,0.00018978125],"genre_scores_gemma":[0.94123846,0.00008569294,0.058363814,0.000037580474,0.00001387359,0.00015376482,0.00001364437,0.00005686689,0.000036293288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988776,0.00001620991,0.0003093,0.00031129297,0.00014096127,0.0003446322],"domain_scores_gemma":[0.9993694,0.000018685192,0.00006408864,0.0003500456,0.00013717185,0.00006061274],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000658382,0.00030311532,0.00030570428,0.00061391946,0.000202611,0.000020310146,0.00016551447,0.00037443475,0.000005723308],"category_scores_gemma":[0.0000033375352,0.00029854281,0.00005373173,0.0014295353,0.0000806001,0.00033498736,3.8119788e-7,0.00043631202,0.000014362057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022278948,0.0000530777,4.754786e-7,0.000025179617,0.000050130046,0.0000150341975,0.00015813218,0.9600579,0.004212738,0.00008368563,0.000005672163,0.035315685],"study_design_scores_gemma":[0.0006731543,0.0002253299,0.0000026088267,0.00013076702,0.00004562509,0.00004018244,0.00030042714,0.887477,0.11057277,0.00012669987,0.00007291603,0.00033253236],"about_ca_topic_score_codex":0.0000011981101,"about_ca_topic_score_gemma":0.000019234034,"teacher_disagreement_score":0.90734434,"about_ca_system_score_codex":0.0001855914,"about_ca_system_score_gemma":0.000030457792,"threshold_uncertainty_score":0.99994665},"labels":[],"label_agreement":null},{"id":"W1980860339","doi":"10.1109/iccw.2013.6649419","title":"OFCDM-based small femtocells embedded in OFDM-based macro cellular network","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Femtocell; Computer science; Macro; Orthogonal frequency-division multiplexing; Femto-; Computer network; Cellular network; Fading; Interference (communication); Electronic engineering; Engineering; Base station; Channel (broadcasting)","score_opus":0.007954411173715458,"score_gpt":0.18097507101817176,"score_spread":0.1730206598444563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980860339","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":[0.04530049,0.00021184704,0.94321245,0.00004899288,0.0003703793,0.0009438399,0.0000028199338,0.00069325307,0.0092159035],"genre_scores_gemma":[0.9084623,0.0000035670103,0.09019422,0.00019886166,0.00012288462,0.0001716794,0.000046708905,0.00009174865,0.0007080361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864626,0.000044731314,0.0004354335,0.00025708298,0.00011479136,0.0005016962],"domain_scores_gemma":[0.99926805,0.000094510375,0.000052162955,0.00040828425,0.00006496504,0.000112013135],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014048994,0.00025728822,0.00028033124,0.00013067017,0.000033987206,0.000049187827,0.00018241588,0.00015626715,0.0007831788],"category_scores_gemma":[0.000017320694,0.00026413344,0.000064719236,0.00043570055,0.000021406919,0.00014415369,0.000016015916,0.00016967875,0.0004415886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044952535,0.00002153474,0.0011172896,0.00008861801,0.000006806589,0.000006051976,0.00002647918,0.98803294,0.008186364,0.00005990469,0.0020329426,0.00041659412],"study_design_scores_gemma":[0.0008669077,0.000020768708,0.00021907366,0.00006916178,0.0000057888806,3.913107e-7,0.000027626484,0.9649953,0.032793667,0.00012131095,0.00055953744,0.00032046903],"about_ca_topic_score_codex":0.000117665564,"about_ca_topic_score_gemma":0.00013586317,"teacher_disagreement_score":0.8631618,"about_ca_system_score_codex":0.00013096613,"about_ca_system_score_gemma":0.000029859044,"threshold_uncertainty_score":0.9999811},"labels":[],"label_agreement":null},{"id":"W1980940419","doi":"10.1109/ccece.2006.277734","title":"Correlated Keyhole MIMO Channels: SNR and Outage Capacity Distributions","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Channel capacity; Keyhole; Gaussian; Spatial correlation; Measure (data warehouse); Mathematics; Channel (broadcasting); Topology (electrical circuits); Statistical physics; Applied mathematics; Computer science; Statistics; Telecommunications; Physics; Engineering","score_opus":0.007720825430752879,"score_gpt":0.18556630830718737,"score_spread":0.17784548287643448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980940419","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":[0.057067215,0.00019008906,0.9290588,0.000027427232,0.00032678663,0.00015815637,0.000055161356,0.0006094572,0.012506942],"genre_scores_gemma":[0.9949386,0.0000105608,0.0034337107,0.000005314572,0.00005779783,0.000013630087,0.00009958443,0.00001874706,0.0014220284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952334,0.000008223237,0.00015359164,0.00011097633,0.000044298722,0.00015956914],"domain_scores_gemma":[0.9997827,0.000017372182,0.000017197384,0.000112655216,0.000029391378,0.000040727416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037305268,0.00010161254,0.00010159562,0.00003399631,0.0000622549,0.000024909687,0.000034886645,0.00007247356,0.00004105107],"category_scores_gemma":[0.000012524888,0.0001023687,0.000017648597,0.0001320635,0.000024472562,0.00015117915,0.000011556604,0.000079842284,0.000038963208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022647773,0.000030536565,0.0013453285,0.000054899407,0.000021567826,0.0000046127525,0.00012268894,0.9761569,0.0055793542,0.010258931,0.0060458686,0.00037707682],"study_design_scores_gemma":[0.0006560799,0.000019435305,0.001723316,0.00003931131,0.000022734566,0.000029565688,0.00010080219,0.9778276,0.009198099,0.0012568027,0.008694188,0.00043204168],"about_ca_topic_score_codex":0.00011782201,"about_ca_topic_score_gemma":0.00005617264,"teacher_disagreement_score":0.9378714,"about_ca_system_score_codex":0.000052027994,"about_ca_system_score_gemma":0.0000023702964,"threshold_uncertainty_score":0.41744745},"labels":[],"label_agreement":null},{"id":"W1981070738","doi":"10.1109/vtcfall.2013.6692414","title":"SINR-Based Transceiver Design in the K-User MIMO Interference Channel Using Multi-Objective Optimization","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; MIMO; Quality of service; Interference (communication); Wireless; Transceiver; Channel (broadcasting); Mathematical optimization; Minification; Optimization problem; Topology (electrical circuits); Mathematics; Algorithm; Telecommunications; Combinatorics","score_opus":0.032541382561314613,"score_gpt":0.23907694367820692,"score_spread":0.2065355611168923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981070738","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":[0.002951234,0.00004430491,0.99527216,0.00002856043,0.00012457682,0.00093092665,0.0000016450343,0.00017523313,0.00047134486],"genre_scores_gemma":[0.806454,0.0000056730464,0.19328961,0.000053683023,0.000018964654,0.00010029575,0.0000056477497,0.000032511376,0.000039598865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919134,0.00010166699,0.00023155639,0.00017331056,0.00008408239,0.00021806001],"domain_scores_gemma":[0.99956894,0.00010006643,0.00003205633,0.00018265641,0.000086318214,0.000029956187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133762,0.0001707259,0.00013752247,0.00013450657,0.000046038662,0.000053647556,0.00015843003,0.00008805451,0.0000886603],"category_scores_gemma":[0.000027340046,0.00013301757,0.00003137005,0.00032850914,0.000024224857,0.00048994675,0.0000051774764,0.00012764323,0.000023035376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047196927,0.000025093197,0.00003709523,0.00001757257,0.000006065668,8.8808014e-7,0.0009934127,0.9959759,0.0027404437,0.000013040648,0.000029313043,0.00015645423],"study_design_scores_gemma":[0.0004985896,0.000025391804,0.00010496687,0.000057684254,0.000007120978,0.0000021134247,0.0005452911,0.9931641,0.0054088156,0.000014324658,0.0000026704506,0.00016891997],"about_ca_topic_score_codex":0.00012098063,"about_ca_topic_score_gemma":0.000042717813,"teacher_disagreement_score":0.8035028,"about_ca_system_score_codex":0.00011944722,"about_ca_system_score_gemma":0.000016145974,"threshold_uncertainty_score":0.5424299},"labels":[],"label_agreement":null},{"id":"W1981212282","doi":"10.1109/ciss.2012.6310717","title":"Distributed clustering and interference avoidance in cognitive femtocell networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cluster analysis; Femtocell; Interference (communication); Computer science; Cognitive radio; Computer network; Cognition; Distributed computing; Psychology; Artificial intelligence; Telecommunications; Wireless; Neuroscience; Base station","score_opus":0.014297663404752813,"score_gpt":0.23072258568901727,"score_spread":0.21642492228426446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981212282","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":[0.037680328,0.000683071,0.958879,0.0000029464204,0.00016197789,0.00014180654,0.000004405348,0.00013704554,0.0023094125],"genre_scores_gemma":[0.9979461,0.00007381321,0.0018132926,0.000010739169,0.000048725837,0.000021450856,0.000015802845,0.00001537536,0.000054728585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995254,0.000011722309,0.00013757322,0.00008275372,0.00002459841,0.00021792261],"domain_scores_gemma":[0.9998061,0.000053512173,0.000015602636,0.000056329995,0.000015179688,0.000053248827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006919531,0.00009217445,0.00010046116,0.000033736884,0.000015262936,0.000013597536,0.000032774453,0.000047980397,0.000016227215],"category_scores_gemma":[0.000020956848,0.00009439245,0.000007215928,0.00011688238,0.000014166194,0.00028448337,0.000032104603,0.00010229763,0.000005591085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012526747,0.000014004252,0.03188918,0.000060130307,0.000009386872,0.0000015448035,0.0005028476,0.9619491,0.0003237699,0.000081828905,0.00006354534,0.0050921156],"study_design_scores_gemma":[0.0002707338,0.0000073743377,0.005485934,0.00012441725,0.0000030395017,0.0000061338374,0.00025714646,0.99313223,0.00052669214,0.000008530084,0.00003223449,0.00014552417],"about_ca_topic_score_codex":0.000008166451,"about_ca_topic_score_gemma":0.000058960824,"teacher_disagreement_score":0.96026576,"about_ca_system_score_codex":0.000042907523,"about_ca_system_score_gemma":0.0000012979638,"threshold_uncertainty_score":0.38492125},"labels":[],"label_agreement":null},{"id":"W1981684317","doi":"10.1109/pimrc.2013.6666724","title":"A distributed interference control scheme in large cellular networks using mean-field game theory","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Game theory; Computer science; Power control; Interference (communication); Exploit; Scheme (mathematics); Network topology; Field (mathematics); Reuse; Nash equilibrium; Power (physics); Mathematical optimization; Mathematics; Telecommunications; Computer network; Engineering; Mathematical economics","score_opus":0.0068489476591280475,"score_gpt":0.20426074632925162,"score_spread":0.19741179867012357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981684317","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":[0.027954437,0.0002871344,0.9701663,0.000010592969,0.00016442206,0.00034055416,0.000004636657,0.00023275943,0.0008391418],"genre_scores_gemma":[0.99533635,0.000009534521,0.0044047795,0.000057500816,0.00004999155,0.00003688838,0.000017083836,0.000028419874,0.000059424332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915946,0.0000409074,0.0002776512,0.00014566109,0.00005346854,0.0003228751],"domain_scores_gemma":[0.99955726,0.000102965154,0.000033540346,0.00020269575,0.00004781784,0.000055739823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015091627,0.00014664896,0.00019427063,0.000061883205,0.000018879167,0.00003663807,0.00011436831,0.000115728384,0.0002724059],"category_scores_gemma":[0.00005148575,0.0001392907,0.000031179283,0.00018635596,0.000009670624,0.0003114152,0.000027029164,0.0001889334,0.000032888398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000885007,0.000015554615,0.0011990529,0.000022876706,0.000019914512,0.0000033522092,0.00011729456,0.9857849,0.009706189,0.002489058,0.00008261016,0.00055036886],"study_design_scores_gemma":[0.000567059,0.000010942377,0.000067619236,0.000062686995,0.0000045056972,0.0000016049769,0.0001588139,0.99648166,0.0021200448,0.0003330893,0.000029941202,0.0001620457],"about_ca_topic_score_codex":0.00005048642,"about_ca_topic_score_gemma":0.000043349202,"teacher_disagreement_score":0.96738195,"about_ca_system_score_codex":0.00008993414,"about_ca_system_score_gemma":0.000005685508,"threshold_uncertainty_score":0.568011},"labels":[],"label_agreement":null},{"id":"W1981875411","doi":"10.1109/sahcn.2014.6990373","title":"Energy cost reduction in cellular networks through dynamic base station activation","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Base station; Lyapunov optimization; Energy consumption; Mathematical optimization; Cardinality (data modeling); Set (abstract data type); Greedy algorithm; Reduction (mathematics); Energy (signal processing); Base (topology); Algorithm; Computer network; Mathematics; Data mining; Engineering; Artificial intelligence","score_opus":0.005703312545147119,"score_gpt":0.2025388202520167,"score_spread":0.19683550770686958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981875411","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":[0.005814759,0.00003217457,0.9904851,0.000029252165,0.00036140703,0.00015469469,6.9829963e-7,0.00026785163,0.0028541023],"genre_scores_gemma":[0.9876906,0.000053527478,0.011661196,0.000017925315,0.00008475003,0.000048466543,0.00019898752,0.00003504471,0.00020948007],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993747,0.000040971634,0.00021871072,0.00014593643,0.00006797915,0.00015173182],"domain_scores_gemma":[0.999726,0.000027860508,0.00004172856,0.00014777659,0.000034118784,0.00002251198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009145495,0.0001064039,0.00010012874,0.00008075091,0.000028539125,0.000016777212,0.00003924976,0.00008717336,0.000025193256],"category_scores_gemma":[0.000013538682,0.00011856815,0.000015569005,0.00026057404,0.000008404687,0.00053916307,0.0000059302006,0.00007552865,0.0000059028034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043354116,0.0000074196346,0.000009579879,0.000011915355,0.000002994792,1.5935653e-7,0.000076109216,0.9666013,0.019413099,0.0023885656,0.000110062814,0.011374418],"study_design_scores_gemma":[0.0002540875,0.000010370787,0.00003329796,0.000026384614,0.0000024597514,0.0000010502796,0.000083934094,0.9807851,0.017355956,0.0005073415,0.0008147245,0.00012531044],"about_ca_topic_score_codex":0.00015578406,"about_ca_topic_score_gemma":0.0001317134,"teacher_disagreement_score":0.98187584,"about_ca_system_score_codex":0.00022750368,"about_ca_system_score_gemma":0.0000043007426,"threshold_uncertainty_score":0.4835069},"labels":[],"label_agreement":null},{"id":"W1981878549","doi":"10.1109/icacci.2013.6637191","title":"Line-of-sight multi-input multi-output capacity improvement using change of carrier frequency","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"MIMO; Computer science; Bandwidth (computing); Electronic engineering; Line-of-sight; Channel capacity; Channel (broadcasting); Transmission (telecommunications); Telecommunications; Engineering","score_opus":0.06278466583852511,"score_gpt":0.25542853772111235,"score_spread":0.19264387188258725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981878549","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":[0.20901662,0.00021444321,0.78915393,0.0000059397676,0.00037574393,0.00080106524,0.00003942205,0.00014143404,0.00025136897],"genre_scores_gemma":[0.7701189,0.000015954589,0.22955094,0.00001039878,0.00006222377,0.00006207474,0.0000076652195,0.000039510018,0.00013234373],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989511,0.000015949512,0.0004910487,0.00017633325,0.00012307575,0.00024252545],"domain_scores_gemma":[0.99923736,0.000018223705,0.00012527376,0.0003139866,0.00022556016,0.00007959261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007420059,0.00019423758,0.00029415477,0.000118594755,0.00002665637,0.000008651467,0.00011845815,0.00011758392,0.00010851731],"category_scores_gemma":[0.000030988464,0.00017971639,0.000065233995,0.00016740843,0.000037013146,0.0003983607,0.00003293068,0.000093738425,0.000009836497],"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":[0.0000012015555,0.00006449127,0.0026834214,0.00043697283,0.00006163412,6.8902074e-7,0.0014679828,0.10436389,0.8881074,0.000076928336,0.000015653286,0.002719744],"study_design_scores_gemma":[0.00064656034,0.00004031661,0.00060232193,0.0000861084,0.000018847051,0.0000011906973,0.00015805812,0.75132394,0.24683516,0.000014032499,0.000029575403,0.00024391217],"about_ca_topic_score_codex":0.0026408748,"about_ca_topic_score_gemma":0.00015166847,"teacher_disagreement_score":0.64696,"about_ca_system_score_codex":0.00011669477,"about_ca_system_score_gemma":0.000011688244,"threshold_uncertainty_score":0.7328622},"labels":[],"label_agreement":null},{"id":"W1981967939","doi":"10.1109/wcnc.2010.5506632","title":"Achieving Diversity-Multiplexing Tradeoff in Finite-Rate Feedback Multi-Antenna Systems with User Selection","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; Computer science; Multiplexing; Scheduling (production processes); Base station; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Interference (communication); Diversity gain; Selection (genetic algorithm); Control theory (sociology); Electronic engineering; Computer network; Mathematical optimization; Telecommunications; MIMO; Mathematics; Engineering","score_opus":0.01277035821378849,"score_gpt":0.2013761028401426,"score_spread":0.1886057446263541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981967939","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":[0.28499287,0.000027501565,0.71294653,0.000009114114,0.00057868275,0.00039220686,0.0000043727896,0.00052542315,0.00052331405],"genre_scores_gemma":[0.97681487,0.000009349493,0.022442834,0.000007511175,0.00007601125,0.000023829845,0.000011697835,0.0000556098,0.0005583132],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902904,0.000037954076,0.00026363044,0.0002455858,0.000106261024,0.00031751144],"domain_scores_gemma":[0.99954534,0.000092563285,0.00005577473,0.0001699644,0.00006352814,0.00007282284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020125414,0.00021035038,0.0002243459,0.00020837129,0.000141414,0.000063314576,0.00012672391,0.00013818147,0.000023152319],"category_scores_gemma":[0.000050971536,0.0001939243,0.000028090013,0.00042720427,0.000020234138,0.000600158,0.00004515605,0.00039551317,0.000028488303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012767,0.00001976499,0.06644301,0.000085716216,0.000019099984,0.000006349415,0.00044238075,0.88561445,0.04718762,0.000073330804,0.000016232872,0.000079255944],"study_design_scores_gemma":[0.0009634778,0.000022183736,0.011112858,0.000106206935,0.000009082005,0.000015838825,0.00037297476,0.98599774,0.00094742974,9.54209e-7,0.00015585207,0.00029538965],"about_ca_topic_score_codex":0.0003018991,"about_ca_topic_score_gemma":0.0020649354,"teacher_disagreement_score":0.691822,"about_ca_system_score_codex":0.000101952835,"about_ca_system_score_gemma":0.000010011075,"threshold_uncertainty_score":0.79080033},"labels":[],"label_agreement":null},{"id":"W1981996428","doi":"10.1109/icc.2014.6884244","title":"Analysis of uplink transmissions in cellular networks: A stochastic geometry approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Constraint (computer-aided design); Channel (broadcasting); Tuple; Algorithm; Topology (electrical circuits); Mathematics; Discrete mathematics; Computer network; Combinatorics; Geometry","score_opus":0.006365967055861924,"score_gpt":0.1972823799122181,"score_spread":0.19091641285635616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981996428","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":[0.0050479076,0.0001790836,0.9921938,0.000002785969,0.000041324623,0.000120891236,8.731887e-7,0.000105938045,0.0023073696],"genre_scores_gemma":[0.972683,0.0000065666477,0.027155122,0.000003434525,0.0000168571,0.000014313738,0.00003318882,0.000019265302,0.00006823057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934983,0.000018740511,0.00028802888,0.00012836671,0.00006427676,0.00015076603],"domain_scores_gemma":[0.99963135,0.00006462478,0.000027541228,0.00020765349,0.000020095562,0.000048742473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001516265,0.00009633022,0.00028696,0.00049909396,0.000012247962,0.0000047395597,0.000084206,0.00007715512,0.00004126525],"category_scores_gemma":[0.000019694322,0.00009121157,0.0000723905,0.0016971562,0.000011207131,0.000060067257,0.0000070151127,0.000085586405,0.0000014969681],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014170735,0.0000165706,0.0002491998,0.000029449695,0.00009134677,1.0907021e-7,0.000080436876,0.99763364,0.00043496207,0.00036339764,0.000006112995,0.0010933608],"study_design_scores_gemma":[0.00015192165,0.0000060103707,0.00029374432,0.000013277779,0.000119235054,1.6465037e-7,0.000039483166,0.9991586,0.00009820474,0.000016270897,0.000008397537,0.00009468852],"about_ca_topic_score_codex":0.000013931073,"about_ca_topic_score_gemma":0.000007905374,"teacher_disagreement_score":0.9676351,"about_ca_system_score_codex":0.000026725947,"about_ca_system_score_gemma":0.0000028409218,"threshold_uncertainty_score":0.37195},"labels":[],"label_agreement":null},{"id":"W1982066763","doi":"10.1109/iccw.2013.6649212","title":"Coordinated Multi-Point (CoMP) adaptive estimation and prediction schemes using superimposed and decomposed channel tracking","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Cluster analysis; Channel (broadcasting); Base station; Transmission (telecommunications); Efficient energy use; Real-time computing; Multipath propagation; Interference (communication); Computer network; Telecommunications; Engineering","score_opus":0.025119471147012445,"score_gpt":0.23594682965644168,"score_spread":0.21082735850942924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982066763","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":[0.31286237,0.00015988802,0.6860881,0.000008842707,0.00008385159,0.0003989281,0.0000036177794,0.00033719768,0.000057218487],"genre_scores_gemma":[0.86542475,0.000014902536,0.13444825,0.0000064677824,0.000020176447,0.00002274008,0.000016305748,0.000034413864,0.000012005864],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999339,0.000020314712,0.00024717487,0.00016985337,0.00004919881,0.00017445991],"domain_scores_gemma":[0.999673,0.000029433033,0.000040212548,0.000090072324,0.00009173948,0.000075506054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006774932,0.0001682021,0.00017279125,0.000113890215,0.00009651414,0.00007510991,0.000030203071,0.00008916324,0.000015339578],"category_scores_gemma":[0.000025495705,0.00017061016,0.0000146060775,0.00012088034,0.0000318261,0.0009890255,0.000021049886,0.0000836147,0.0000037392938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007905861,0.000017715989,0.00047845513,0.00008291775,0.00003839966,7.330001e-7,0.0010191549,0.8627226,0.13006435,0.00007105916,0.000014097641,0.0054826564],"study_design_scores_gemma":[0.00073669804,0.000028133774,0.0017489356,0.00007112275,0.000013333677,0.000020410394,0.0006706601,0.9873202,0.00916097,0.00006224138,0.0000015051048,0.00016578738],"about_ca_topic_score_codex":0.000074368465,"about_ca_topic_score_gemma":0.000008765772,"teacher_disagreement_score":0.5525624,"about_ca_system_score_codex":0.0000769979,"about_ca_system_score_gemma":0.0000050615095,"threshold_uncertainty_score":0.69572806},"labels":[],"label_agreement":null},{"id":"W1982319473","doi":"10.1109/eucnc.2014.6882694","title":"Towards the METIS 5G concept: First view on Horizontal Topics concepts","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":35,"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":"Ministry of Economy, Trade and Industry","keywords":"Metis; Computer science; Key (lock); Telecommunications; World Wide Web; Computer security","score_opus":0.011650577676336,"score_gpt":0.2371238069492267,"score_spread":0.22547322927289068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982319473","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":[0.001243957,0.0006395104,0.78707206,0.0007995666,0.0015104834,0.00048094214,0.000008472862,0.0006504184,0.20759457],"genre_scores_gemma":[0.9948819,0.00008509833,0.0031494063,0.00026007174,0.00040379996,0.000037729416,0.000009758099,0.000034201206,0.0011379803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993666,0.000029329816,0.00018066721,0.00013350442,0.0001144258,0.00017549952],"domain_scores_gemma":[0.99953467,0.000066994966,0.000025290843,0.00028360056,0.000030631712,0.000058810507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092374365,0.00013999749,0.00016191172,0.00001929873,0.00008429111,0.00002832703,0.00015940417,0.00006440511,0.00026659097],"category_scores_gemma":[0.00006691158,0.00009666494,0.000046523284,0.00009845515,0.00003698719,0.00009379509,0.000015679467,0.00010630096,0.00011214815],"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":[0.000007803968,0.000026850214,0.00010260991,0.00012746947,0.00008566489,0.0000033788476,0.0020121553,0.6389506,0.00033106568,0.12261647,0.02023008,0.21550587],"study_design_scores_gemma":[0.0007807625,0.0002190719,0.00026917926,0.0001120878,0.000027218475,0.000012621906,0.00035521406,0.15138312,0.0130049195,0.00045196532,0.83286846,0.0005154008],"about_ca_topic_score_codex":0.000026543143,"about_ca_topic_score_gemma":0.000077703284,"teacher_disagreement_score":0.993638,"about_ca_system_score_codex":0.00006724991,"about_ca_system_score_gemma":0.0000067458864,"threshold_uncertainty_score":0.39418817},"labels":[],"label_agreement":null},{"id":"W1982655945","doi":"10.1007/s11036-014-0563-2","title":"Adaptive SON and Cognitive Smart LPN for 5G Heterogeneous Networks","year":2015,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; Heterogeneous network; Cognitive radio; Computer network; Throughput; Distributed computing; Resource allocation; Radio resource management; Interference (communication); Wireless; Wireless network; Telecommunications; Channel (broadcasting)","score_opus":0.012519524627064429,"score_gpt":0.23116244264011115,"score_spread":0.21864291801304672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982655945","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":[0.0009816166,0.0060189012,0.9905494,0.0000055788582,0.00007805789,0.0015372409,0.000021355612,0.00016339945,0.00064445747],"genre_scores_gemma":[0.9936511,0.00037640444,0.0011707398,0.00003292149,0.0003457104,0.0042325896,0.000091494054,0.000041863048,0.000057188492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937624,0.000010900214,0.00016270035,0.00021214379,0.00003786392,0.00020017715],"domain_scores_gemma":[0.99951315,0.00010476193,0.000039593477,0.0001147474,0.00009027148,0.00013750156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000764735,0.00013791493,0.0001520284,0.000026050015,0.00010817386,0.000034996938,0.00004206309,0.00009870083,0.0000016839933],"category_scores_gemma":[0.0000044065123,0.00014499814,0.000022243295,0.000114019254,0.0000462344,0.00008001879,0.00001494955,0.00008320233,0.0000017286546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010393353,0.000009989064,0.000072609175,0.000010783708,0.00002264096,2.0021831e-7,0.000027194901,0.97028565,0.0000036022248,0.0002680688,0.0003995158,0.02888937],"study_design_scores_gemma":[0.00041970317,0.00007099898,0.0000354622,0.000025909974,0.000036377874,0.000009759268,0.00014023292,0.99074453,0.000029326557,0.0002245269,0.008093858,0.00016933963],"about_ca_topic_score_codex":0.000004874366,"about_ca_topic_score_gemma":0.000017570295,"teacher_disagreement_score":0.99266946,"about_ca_system_score_codex":0.000025719617,"about_ca_system_score_gemma":0.0000062050194,"threshold_uncertainty_score":0.5912852},"labels":[],"label_agreement":null},{"id":"W1982821438","doi":"10.1109/tmc.2015.2413782","title":"Robust Ergodic Uplink Resource Allocation in Underlay OFDMA Cognitive Radio Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Manitoba Beekeepers' Association","funders":"","keywords":"Computer science; Mathematical optimization; Cognitive radio; Telecommunications link; Transmitter power output; Underlay; Constraint (computer-aided design); Channel state information; Resource allocation; Optimization problem; Quality of service; Channel (broadcasting); Signal-to-noise ratio (imaging); Algorithm; Wireless; Mathematics; Computer network; Telecommunications; Transmitter","score_opus":0.025062099688905094,"score_gpt":0.23680806309269856,"score_spread":0.21174596340379345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982821438","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":[0.020613952,0.00042685017,0.97662497,0.000016940272,0.0007638341,0.00055710913,0.0000037613904,0.0005445088,0.00044805923],"genre_scores_gemma":[0.99572283,0.00004866785,0.0037884626,0.000027266151,0.00014248509,0.00010287209,0.000015476237,0.000073785974,0.000078145305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875873,0.000082302,0.00040820567,0.00029334,0.00013806185,0.00031938645],"domain_scores_gemma":[0.99933755,0.00021447222,0.00006618891,0.00018718216,0.00007762856,0.00011696208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002761793,0.0002189535,0.00023684211,0.00023658872,0.000104482104,0.000037676287,0.00011331813,0.00015771156,0.000011081987],"category_scores_gemma":[0.000007962816,0.00026207796,0.000055797023,0.000582103,0.00003314769,0.0001809316,0.000001615452,0.00042738428,0.000021023412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018277642,0.000048694328,0.00003941545,0.000023054672,0.00002424798,0.0000035718424,0.00064468745,0.96891785,0.0000515383,0.000006727761,0.00006534695,0.030156603],"study_design_scores_gemma":[0.0008601017,0.00005919606,0.000030663836,0.00028719468,0.000021853824,0.000011336389,0.00063450757,0.99667835,0.0010826631,0.000008762889,0.000077338795,0.00024802308],"about_ca_topic_score_codex":0.000024271587,"about_ca_topic_score_gemma":0.000049750495,"teacher_disagreement_score":0.97510886,"about_ca_system_score_codex":0.00036537097,"about_ca_system_score_gemma":0.00003009248,"threshold_uncertainty_score":0.99998313},"labels":[],"label_agreement":null},{"id":"W1983304998","doi":"10.1109/pimrc.2010.5671961","title":"Identifying boundaries of dominant regions dictating spectrum sharing opportunities for large secondary networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Boundary (topology); Interference (communication); Computer science; Bounded function; Computer network; Aggregate (composite); Exponent; Spectrum (functional analysis); Path loss; Topology (electrical circuits); Distributed computing; Telecommunications; Mathematics; Engineering; Physics; Electrical engineering; Channel (broadcasting)","score_opus":0.028829744864539642,"score_gpt":0.2538195244093085,"score_spread":0.22498977954476884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983304998","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":[0.012592762,0.00019136336,0.98057693,0.000040153514,0.0011956643,0.00028092338,0.000023315419,0.00024627146,0.00485259],"genre_scores_gemma":[0.9676698,0.000037091668,0.031100053,0.000013510096,0.00014103028,0.000054143286,0.000045344557,0.00005872413,0.00088034366],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990764,0.0000057254547,0.0003839719,0.00015342938,0.00006902312,0.00031140452],"domain_scores_gemma":[0.9994675,0.00008411794,0.000095973905,0.00024098816,0.000055979915,0.000055473745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002487528,0.00014134774,0.00022037532,0.00010377545,0.00025857476,0.00011590398,0.00013690047,0.0000877915,0.00006967242],"category_scores_gemma":[0.000052308176,0.00014665704,0.00006766924,0.000092055205,0.000055882487,0.00042606407,0.000053569995,0.00020499271,8.9213245e-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":[0.000040091258,0.000054938868,0.0014735286,0.0018582095,0.00022325892,0.000018379596,0.004662221,0.24716136,0.030559024,0.7036401,0.0035653182,0.006743593],"study_design_scores_gemma":[0.0007595319,0.000026830758,0.0001086816,0.00017940509,0.000034591412,0.000023293522,0.0040293937,0.96950495,0.011301073,0.0059003597,0.0077622174,0.00036968678],"about_ca_topic_score_codex":0.000017730548,"about_ca_topic_score_gemma":0.00059347326,"teacher_disagreement_score":0.955077,"about_ca_system_score_codex":0.000024471912,"about_ca_system_score_gemma":0.000030642394,"threshold_uncertainty_score":0.59805006},"labels":[],"label_agreement":null},{"id":"W1983781274","doi":"10.1109/isit.2014.6875028","title":"Unstructured linear beamforming design for interference alignment in MIMO cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Beamforming; Computer science; Telecommunications link; Interference (communication); Cellular network; Zero-forcing precoding; Topology (electrical circuits); Precoding; Telecommunications; Mathematics","score_opus":0.01228924450738595,"score_gpt":0.21213358492070478,"score_spread":0.19984434041331883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983781274","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":[0.0009213116,0.00006864686,0.9975223,0.0000064646747,0.00034933593,0.00044975025,0.0000012468784,0.00017265213,0.00050827494],"genre_scores_gemma":[0.72009814,0.000008052684,0.27961874,0.00001577428,0.000088355584,0.000050217557,0.000010180089,0.000028091032,0.000082422324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993022,0.00001925992,0.0002556753,0.00014589872,0.000045068624,0.00023189023],"domain_scores_gemma":[0.99966794,0.00008100447,0.000028748032,0.00015812828,0.000022544662,0.000041602692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017656836,0.00013277464,0.00015844211,0.00006356552,0.00002317521,0.000013341743,0.00010199702,0.00008415515,0.000014897582],"category_scores_gemma":[0.000026851438,0.00012753354,0.000026405685,0.000099399105,0.00000866141,0.0001123017,0.000014747197,0.00007085435,0.000003536369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066599455,0.0000026536775,0.000021208307,0.000029074432,0.0000056009003,2.1484044e-7,0.0000838091,0.9914234,0.003921385,0.000498429,0.00007598275,0.003931525],"study_design_scores_gemma":[0.0003395199,0.000032868626,0.000003577446,0.000046129913,0.0000039635133,9.627217e-7,0.00003757178,0.969416,0.029176066,0.0003201322,0.00047671038,0.0001464727],"about_ca_topic_score_codex":0.0000060348884,"about_ca_topic_score_gemma":0.000016514277,"teacher_disagreement_score":0.7191768,"about_ca_system_score_codex":0.00008170889,"about_ca_system_score_gemma":0.0000040532204,"threshold_uncertainty_score":0.5200667},"labels":[],"label_agreement":null},{"id":"W1983900259","doi":"10.1109/isit.2013.6620216","title":"Optimum transmission through the Gaussian multiple access channel","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"European Commission","keywords":"Decoding methods; Computer science; Mathematical optimization; Covariance; Channel (broadcasting); Gaussian; Transmission (telecommunications); Variable (mathematics); Covariance matrix; Power (physics); Single antenna interference cancellation; MIMO; Interference (communication); Algorithm; Mathematics; Telecommunications","score_opus":0.01795993949714716,"score_gpt":0.24555252478933862,"score_spread":0.22759258529219145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983900259","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":[0.0006941003,0.00019152607,0.96743816,0.0004433145,0.00023440644,0.00050667534,0.0000012143229,0.0004842789,0.030006306],"genre_scores_gemma":[0.98233163,0.000090466005,0.015959084,0.00010205094,0.00009174236,0.00013640516,0.000008581005,0.000044996847,0.001235042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994032,0.000013996828,0.00017135775,0.00012323463,0.000080288926,0.0002079149],"domain_scores_gemma":[0.9996337,0.00004053926,0.000018822026,0.00022968769,0.00003072984,0.0000464988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032441923,0.00012862263,0.00010228973,0.000022726708,0.00008591269,0.00007843663,0.00023232067,0.000063144646,0.00039712692],"category_scores_gemma":[0.0000077039795,0.000080081365,0.000035257675,0.00015157065,0.000017149578,0.00084617594,0.000021510616,0.00009293321,0.00016156308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012655338,0.000007852982,0.00002292337,0.000033630262,0.000011535058,4.1707537e-7,0.0005986053,0.9889697,0.0015952645,0.00017251096,0.0048240623,0.0037622708],"study_design_scores_gemma":[0.0002694468,0.000008110173,0.00019921761,0.000027991593,0.0000047217145,0.000003866867,0.00026064733,0.9847827,0.007391818,0.0006445589,0.0062347786,0.00017216871],"about_ca_topic_score_codex":0.00012031245,"about_ca_topic_score_gemma":0.000009232129,"teacher_disagreement_score":0.98163754,"about_ca_system_score_codex":0.000027891803,"about_ca_system_score_gemma":0.0000038791986,"threshold_uncertainty_score":0.43482614},"labels":[],"label_agreement":null},{"id":"W1984126541","doi":"10.1109/twc.2014.2372772","title":"A Power Allocation Strategy for Multiple Poisson Spectrum-Sharing Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Mathematical optimization; Underlay; Throughput; Transmission (telecommunications); Convex optimization; Optimization problem; Frequency allocation; Limit (mathematics); Power (physics); Transmitter power output; Signal-to-noise ratio (imaging); Wireless; Regular polygon; Computer network; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.022246913392190242,"score_gpt":0.2552689739483214,"score_spread":0.23302206055613114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984126541","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":[0.0025201594,0.000109576155,0.9940259,0.00019027114,0.00040346393,0.00068374927,0.000031025687,0.0007212478,0.0013146286],"genre_scores_gemma":[0.9877873,0.00026251614,0.010898497,0.000034697765,0.00004464,0.0006456086,0.00006452343,0.000096907854,0.00016533252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988922,0.00005761776,0.00040807782,0.00024560824,0.00009654677,0.00029993846],"domain_scores_gemma":[0.9978339,0.00038377868,0.0000792941,0.0015125731,0.00009980043,0.00009062107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019256881,0.00022485756,0.00022023983,0.00016822739,0.0004411631,0.000068191,0.0005955685,0.0001531759,0.000020160376],"category_scores_gemma":[0.000009283093,0.00026788664,0.00010826822,0.000324484,0.00005849768,0.00029984117,0.0000036832516,0.00033208999,0.000025303034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011629457,0.00008261718,0.000011376744,0.000023232975,0.00004256396,4.2535497e-8,0.00015431122,0.9877444,0.0013223344,0.002362942,0.00004673944,0.00819781],"study_design_scores_gemma":[0.00054470106,0.000062277584,0.000039112914,0.00007028397,0.00002636683,0.0000030933697,0.000088529836,0.99351966,0.004184138,0.00026924087,0.0009240856,0.00026850938],"about_ca_topic_score_codex":0.00003247254,"about_ca_topic_score_gemma":0.00045987414,"teacher_disagreement_score":0.9852671,"about_ca_system_score_codex":0.00017715798,"about_ca_system_score_gemma":0.000014124427,"threshold_uncertainty_score":0.99997735},"labels":[],"label_agreement":null},{"id":"W1984147818","doi":"10.1109/glocom.2013.6831363","title":"Degrees of freedom of MIMO cellular networks: Two-cell three-user-per-cell case","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Beamforming; Bottleneck; Base station; Degrees of freedom (physics and chemistry); Cellular network; Topology (electrical circuits); Computer science; Interference (communication); Upper and lower bounds; Set (abstract data type); Mathematics; Mathematical optimization; Control theory (sociology); Telecommunications; Combinatorics; Mathematical analysis; Physics","score_opus":0.006842243554773185,"score_gpt":0.18879914305335757,"score_spread":0.18195689949858437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984147818","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":[0.13560417,0.0013311879,0.8501067,0.000003513777,0.00029251532,0.00048350747,0.000006239462,0.00019088056,0.011981245],"genre_scores_gemma":[0.9222127,0.000037110767,0.07681481,0.000002862103,0.00008698424,0.000026857673,0.000010395932,0.00006526309,0.0007430001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988697,0.000021803116,0.00053190935,0.00018314655,0.00011939208,0.00027401157],"domain_scores_gemma":[0.9990786,0.000080734695,0.00012440205,0.00047061543,0.00015657824,0.00008908613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090022746,0.00021705934,0.00033788264,0.00009702863,0.000027269152,0.000013563713,0.0001731967,0.00011870828,0.00043545058],"category_scores_gemma":[0.00000822856,0.00020539759,0.00008484615,0.00020085144,0.000048139667,0.00026657336,0.000044894365,0.00011605977,0.00006819343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021876112,0.000040246807,0.00053454284,0.00018278598,0.000016642656,0.000015650976,0.00007685856,0.94999456,0.047945537,0.00015064649,0.00083599554,0.00020434763],"study_design_scores_gemma":[0.00065072393,0.000041436673,0.00001708893,0.000034713572,0.000024755136,0.000022104614,0.00022408583,0.9514121,0.047247164,0.000020575644,0.00008935565,0.00021590601],"about_ca_topic_score_codex":0.0013035747,"about_ca_topic_score_gemma":0.00045976928,"teacher_disagreement_score":0.7866086,"about_ca_system_score_codex":0.000033505235,"about_ca_system_score_gemma":0.000009700329,"threshold_uncertainty_score":0.83758706},"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":"W1985227918","doi":"10.1109/twc.2013.092413.121686","title":"Resource Allocation in Autonomous Cellular Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Software deployment; Cellular network; Resource allocation; Base station; Cluster analysis; Computer network; Resource management (computing); Distributed computing; Resource (disambiguation); Artificial intelligence","score_opus":0.013194526452915377,"score_gpt":0.218850836339469,"score_spread":0.20565630988655362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985227918","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":[0.0073694377,0.00026736432,0.9881896,0.0004000774,0.00018266856,0.0006077312,0.000006061517,0.00056457636,0.0024125094],"genre_scores_gemma":[0.99239105,0.00041898983,0.0060288785,0.00004790133,0.00001893348,0.00073413627,0.00003664532,0.00006527306,0.00025821757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989523,0.00010575733,0.00042154224,0.00017683888,0.000091275055,0.00025228015],"domain_scores_gemma":[0.9982422,0.00016381257,0.000050668317,0.0014012882,0.000064782216,0.00007722392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010634126,0.00018333553,0.00018198065,0.00024359944,0.00019742077,0.00004946112,0.0005213091,0.00014715674,0.000059226633],"category_scores_gemma":[0.0000022891745,0.00022108898,0.000056843273,0.00055208127,0.00007194768,0.00034929096,0.0000033640226,0.00046466413,0.0001557482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016138973,0.00008326801,0.000008578853,0.000011065963,0.000014961589,2.454148e-7,0.00023936364,0.97466594,0.0025298926,0.00031510036,0.000112349655,0.022017645],"study_design_scores_gemma":[0.00026072655,0.000013927302,0.0000713094,0.000062525185,0.0000105269455,0.000002354894,0.00016905721,0.99421006,0.0037515673,0.00004504176,0.0011829629,0.00021995137],"about_ca_topic_score_codex":0.0001353243,"about_ca_topic_score_gemma":0.00030319233,"teacher_disagreement_score":0.9850216,"about_ca_system_score_codex":0.00025683775,"about_ca_system_score_gemma":0.000017168362,"threshold_uncertainty_score":0.90157473},"labels":[],"label_agreement":null},{"id":"W1985478128","doi":"10.1109/bwcca.2012.41","title":"Energy-Efficient Multiuser MIMO Downlink Transmissions in Massively Distributed Antenna Systems with Predefined Capacity Constraints","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Throughput; MIMO; Massively parallel; Energy consumption; Distributed antenna system; Constraint (computer-aided design); Realization (probability); Antenna (radio); Wireless; Distributed computing; Real-time computing; Computer network; Telecommunications; Channel (broadcasting); Engineering; Electrical engineering; Parallel computing","score_opus":0.012906165018557857,"score_gpt":0.19874444083275788,"score_spread":0.18583827581420004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985478128","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":[0.040250596,0.00023229019,0.95608145,0.000019779063,0.0002991145,0.0004229441,0.0001751956,0.00044844934,0.0020701804],"genre_scores_gemma":[0.99136126,0.0000120954755,0.00819747,0.0000075936396,0.000045759374,0.00009941695,0.00009530782,0.00004580829,0.00013530375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862146,0.000054218475,0.00041305396,0.00021197487,0.00016532182,0.0005339492],"domain_scores_gemma":[0.99932927,0.00006510118,0.00005844664,0.0002413532,0.000078535406,0.0002272977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013477202,0.0002664922,0.00030859918,0.00013099588,0.000057798006,0.000026356056,0.00010661533,0.0001440367,0.00006093329],"category_scores_gemma":[0.000021426587,0.00021002845,0.000039603376,0.0003790052,0.00007846611,0.00020018136,0.000011112248,0.00015578562,0.0000116180145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018563234,0.00011757882,0.003074649,0.00010282138,0.000039211016,0.0000059020954,0.00042769054,0.98728293,0.006950229,0.001662817,0.00009509822,0.00022252124],"study_design_scores_gemma":[0.0013000862,0.000023627943,0.0023710674,0.0002747309,0.000020413856,0.0000435199,0.0005573795,0.9926964,0.0017661911,0.0000031932466,0.0005310116,0.0004123526],"about_ca_topic_score_codex":0.00013441207,"about_ca_topic_score_gemma":0.000056416713,"teacher_disagreement_score":0.95111066,"about_ca_system_score_codex":0.0001981571,"about_ca_system_score_gemma":0.00002090392,"threshold_uncertainty_score":0.8564711},"labels":[],"label_agreement":null},{"id":"W1985607164","doi":"10.1049/iet-com.2012.0752","title":"Measurement‐based analysis of cross‐layer adaptation for MIMO in mobile urban environments","year":2013,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Adaptation (eye); MIMO; Telecommunications; Psychology; Channel (broadcasting)","score_opus":0.050731977628316466,"score_gpt":0.2872204322434233,"score_spread":0.23648845461510684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985607164","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":[0.023871144,0.0014539957,0.97244596,0.00004137091,0.000045744935,0.0012106454,0.000050572613,0.00007845228,0.0008020967],"genre_scores_gemma":[0.9636423,0.00006900917,0.034800038,0.000009654003,0.0000042859524,0.0012604299,0.00016329832,0.000020591626,0.000030405809],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928045,0.00004365448,0.0003586377,0.000094178526,0.000109673514,0.0001133959],"domain_scores_gemma":[0.9987937,0.00008409587,0.00008493566,0.0009113878,0.00009844597,0.000027396998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016426135,0.000085181666,0.0001678389,0.00024027146,0.0000516326,0.000017204988,0.00029373917,0.00005282748,0.00002855723],"category_scores_gemma":[0.000041671887,0.0000995082,0.00007098719,0.00046706694,0.000041252402,0.00022682585,0.000024988336,0.000062270025,0.00001072869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016654407,0.00005817989,0.003526018,0.000017121847,0.00010796332,7.955199e-9,0.0003596332,0.986002,0.008992631,0.00006988616,0.00006507962,0.0007997578],"study_design_scores_gemma":[0.00033940305,0.000012778642,0.010595417,0.000020864361,0.00009584334,2.5364498e-8,0.00014023903,0.98552865,0.0015824679,0.00004230957,0.0015467841,0.00009524232],"about_ca_topic_score_codex":0.0000795526,"about_ca_topic_score_gemma":0.0003170736,"teacher_disagreement_score":0.9397711,"about_ca_system_score_codex":0.00015477838,"about_ca_system_score_gemma":0.00001106823,"threshold_uncertainty_score":0.40578267},"labels":[],"label_agreement":null},{"id":"W1985618144","doi":"10.1109/wcnc.2013.6555130","title":"Analysis of collaborative beamforming designs in real-world environments","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Beamforming; Computer science; Quantization (signal processing); Overhead (engineering); Ideal (ethics); Computer engineering; Algorithm; Throughput; Codebook; Mathematical optimization; Mathematics; Telecommunications; Wireless","score_opus":0.012520328440046134,"score_gpt":0.2379034579976707,"score_spread":0.22538312955762457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985618144","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":[0.11146466,0.000039955252,0.8618938,0.000005309843,0.00003963518,0.00040494834,0.000006206244,0.00007103413,0.026074486],"genre_scores_gemma":[0.97248787,0.000048800994,0.026566856,0.0000036753415,0.0000042105416,0.000044031087,0.000014176456,0.000012261158,0.00081810745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994954,0.000013021405,0.0002412747,0.00008235343,0.00006163389,0.00010631423],"domain_scores_gemma":[0.99976575,0.00003435884,0.000037665046,0.00012352197,0.000013776208,0.000024929263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048568563,0.00007227127,0.00018832518,0.00038462345,0.000008733908,0.000005486575,0.00004694329,0.000026638398,0.00021605565],"category_scores_gemma":[0.0000067516976,0.00007127426,0.000022893713,0.0012706663,0.00001061596,0.00023853574,0.000009280332,0.00003143057,0.00001774551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.2723063e-7,0.0000070968363,0.013097656,0.000006171377,0.000104921266,2.0619748e-7,0.00026793592,0.97645074,0.00950717,0.00011635765,0.000026020809,0.0004151056],"study_design_scores_gemma":[0.00019775283,0.000010951696,0.023477435,0.000014928306,0.00007949392,5.634505e-8,0.00055541686,0.95872706,0.01663717,0.000043064505,0.00010709749,0.0001495507],"about_ca_topic_score_codex":0.0002650384,"about_ca_topic_score_gemma":0.0008762056,"teacher_disagreement_score":0.86102325,"about_ca_system_score_codex":0.000110125024,"about_ca_system_score_gemma":0.0000037421312,"threshold_uncertainty_score":0.29064798},"labels":[],"label_agreement":null},{"id":"W1985620304","doi":"10.1109/vetecf.2011.6093270","title":"Wireless Mesh Network Planning Using Quantum Inspired Evolutionary Algorithm","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; UMTS frequency bands; Evolutionary algorithm; Probabilistic logic; Wireless network; Base station; Algorithm; Genetic algorithm; Computer network; Wireless; Distributed computing; Telecommunications; Artificial intelligence","score_opus":0.030986831809324607,"score_gpt":0.23389647047041565,"score_spread":0.20290963866109105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985620304","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":[0.010718211,0.0005182661,0.98034483,0.0000010757958,0.0007614112,0.00014993118,0.0000029898538,0.0007725571,0.006730717],"genre_scores_gemma":[0.67918694,0.000019218922,0.32034436,0.000015431338,0.0002597098,0.000012439975,0.000014089063,0.00006029563,0.00008750133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991832,0.00001840752,0.00025069385,0.00015523503,0.000089672736,0.0003027846],"domain_scores_gemma":[0.9996585,0.000017583636,0.00003984384,0.00017842151,0.000040017385,0.000065635206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007181901,0.0001529859,0.00016366926,0.00006306686,0.000091871734,0.000009923685,0.000097857235,0.00009412655,0.00007488815],"category_scores_gemma":[0.0000036002398,0.00016324056,0.000033851185,0.00023502026,0.000019877127,0.00031413624,0.00002902502,0.00009989771,0.000023382663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038607795,0.000009129863,0.0011523999,0.000027067681,0.00003198568,0.000012617804,0.0003416717,0.9939985,0.0003294634,0.0016954768,0.00071054476,0.0016872281],"study_design_scores_gemma":[0.00014771952,0.000011334513,0.00046810578,0.00008455965,0.000009548106,0.00002015007,0.00012189329,0.99808186,0.0003288809,0.00038507287,0.0001288498,0.00021200969],"about_ca_topic_score_codex":0.000039991624,"about_ca_topic_score_gemma":0.0000019347353,"teacher_disagreement_score":0.6684688,"about_ca_system_score_codex":0.000107125765,"about_ca_system_score_gemma":0.000013917354,"threshold_uncertainty_score":0.66567564},"labels":[],"label_agreement":null},{"id":"W1985655499","doi":"10.1109/acssc.2013.6810563","title":"Downlink coverage analysis of n-tier heterogeneous cellular networks based on clustered stochastic geometry","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Stochastic geometry; Base station; Coverage probability; Telecommunications link; Poisson distribution; Point process; Computer science; Poisson point process; Cellular network; Point (geometry); Heterogeneous network; Stochastic geometry models of wireless networks; Cluster (spacecraft); Topology (electrical circuits); Computer network; Mathematical optimization; Mathematics; Wireless network; Statistics; Telecommunications; Geometry; Wireless; Radio resource management; Combinatorics","score_opus":0.005116489950446369,"score_gpt":0.18804585627569523,"score_spread":0.18292936632524887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985655499","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":[0.036799945,0.00009873405,0.9615966,0.000005931846,0.00017786837,0.0003227438,0.00001149683,0.0001833824,0.00080330647],"genre_scores_gemma":[0.9966679,0.0000044544845,0.0028922216,0.000059557267,0.000040041632,0.00003294374,0.000108731125,0.000040708826,0.00015342567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990206,0.000026246957,0.00037112035,0.0001962949,0.00014840403,0.00023733676],"domain_scores_gemma":[0.99923277,0.00010815491,0.000072239935,0.00042753245,0.00007742185,0.00008187149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006651949,0.00018552622,0.00036495746,0.00046993146,0.000025886122,0.000021602691,0.000117683114,0.00012338033,0.00069777435],"category_scores_gemma":[0.000019390234,0.00017560115,0.00014517158,0.00091180403,0.000015659787,0.00009774145,0.000017022241,0.000100484795,0.00003970661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005456735,0.00001922536,0.00010242473,0.000023365832,0.00026135563,0.0000015310803,0.000012428336,0.99800813,0.0008026596,0.000010301562,0.00006521812,0.00068790716],"study_design_scores_gemma":[0.00027292588,0.000035755496,0.00013896867,0.000016195321,0.00017391742,3.9905635e-7,0.000006998262,0.99824655,0.00091872143,0.0000057520897,0.000009313173,0.00017449658],"about_ca_topic_score_codex":0.000026829564,"about_ca_topic_score_gemma":0.000010066705,"teacher_disagreement_score":0.95986795,"about_ca_system_score_codex":0.00008026318,"about_ca_system_score_gemma":0.000004953487,"threshold_uncertainty_score":0.76401395},"labels":[],"label_agreement":null},{"id":"W1986082194","doi":"10.1109/iscc.2008.4625665","title":"A graph theory based scheduling algorithm For MIMO-CDMA systems using zero forcing beamforming","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; MIMO; Beamforming; Scheduling (production processes); Algorithm; Graph coloring; Computational complexity theory; Mathematical optimization; Graph; Theoretical computer science; Mathematics; Telecommunications","score_opus":0.019800464681711986,"score_gpt":0.2320450900627989,"score_spread":0.2122446253810869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986082194","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":[0.0067605875,0.0006257386,0.9895828,0.0000020663306,0.0008283846,0.0008363515,0.000014560636,0.0008027591,0.0005467882],"genre_scores_gemma":[0.34697253,0.000012337014,0.6524509,0.000018776513,0.00016467622,0.00009388935,0.00002115225,0.00010989278,0.00015584771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986136,0.000028712106,0.0004734305,0.00026654932,0.00014926973,0.00046845264],"domain_scores_gemma":[0.9992092,0.00020717693,0.00008957908,0.00027271864,0.00012209934,0.000099182325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003446152,0.00027056094,0.00033056777,0.00026345934,0.0003164255,0.00004157103,0.00013261543,0.00013772969,0.0000067784536],"category_scores_gemma":[0.00005235334,0.00027430177,0.0001266674,0.00031253556,0.00003212383,0.00048173973,0.000017341294,0.00011704263,0.0000041855587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051474935,0.000007699659,0.000033349446,0.00018260597,0.00003625656,0.0000039042548,0.00013278391,0.992227,0.0039225966,0.0009662727,0.000017290278,0.002465105],"study_design_scores_gemma":[0.0006672746,0.000020222984,0.0000012536537,0.00020359705,0.000026513617,0.000054688175,0.00027280464,0.9925309,0.005484862,0.00023059326,0.00016821119,0.00033910663],"about_ca_topic_score_codex":0.000030190458,"about_ca_topic_score_gemma":0.00000204162,"teacher_disagreement_score":0.34021193,"about_ca_system_score_codex":0.000181712,"about_ca_system_score_gemma":0.00003898451,"threshold_uncertainty_score":0.9999709},"labels":[],"label_agreement":null},{"id":"W1986224302","doi":"10.1109/icc.2014.6884243","title":"Stochastic geometric performance analysis for Carrier Aggregation in LTE-A systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stochastic geometry; Computer science; Rayleigh fading; Telecommunications link; Fading; Interference (communication); Base station; Channel (broadcasting); Poisson point process; LTE Advanced; Ergodic theory; Term (time); Coverage probability; Computer network; Poisson distribution; Mathematics; Statistics","score_opus":0.00841922131210039,"score_gpt":0.20884756691275363,"score_spread":0.20042834560065326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986224302","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":[0.03219874,0.00020315783,0.96622276,0.000003906434,0.00023610689,0.00028166236,0.0000072024873,0.00015532148,0.00069114624],"genre_scores_gemma":[0.9957891,0.000014861263,0.003568148,0.0000036335066,0.000057022033,0.00011949997,0.000040897125,0.000023458795,0.0003833561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993065,0.0000141908895,0.0002728162,0.00014420107,0.00008520423,0.00017706615],"domain_scores_gemma":[0.99955237,0.0001019309,0.000039919705,0.00018303638,0.00008535324,0.000037402948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018976482,0.00010069047,0.00021260606,0.0007124526,0.00002732434,0.000023985418,0.000057860772,0.000062096406,0.000007749454],"category_scores_gemma":[0.00009583229,0.00010260932,0.00004275187,0.0019038584,0.0000052515097,0.00018950149,0.0000063841944,0.000045240165,0.000010933798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019810616,0.0000031151158,0.0014917069,0.00010181099,0.000042230728,6.3203416e-8,0.000029537843,0.99573815,0.000056480218,0.00032846123,0.00001843247,0.0021880537],"study_design_scores_gemma":[0.00020712405,0.000014209459,0.00087891554,0.000019214489,0.000054299846,9.3799673e-7,0.00003422295,0.99814785,0.0003514261,0.0000206922,0.00014684828,0.00012426387],"about_ca_topic_score_codex":0.000019059971,"about_ca_topic_score_gemma":0.00005696208,"teacher_disagreement_score":0.9635904,"about_ca_system_score_codex":0.0001254226,"about_ca_system_score_gemma":0.000006307468,"threshold_uncertainty_score":0.41842866},"labels":[],"label_agreement":null},{"id":"W1986310768","doi":"10.1109/glocom.2011.6134050","title":"Efficient Coordinated Multicell Beamforming with Per-Base-Station Power Constraints","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Base station; Telecommunications link; Computer science; Transmitter power output; Interference (communication); Optimization problem; Mathematical optimization; Power (physics); Signal-to-noise ratio (imaging); Simple (philosophy); Telecommunications; Algorithm; Transmitter; Mathematics","score_opus":0.011426914517039385,"score_gpt":0.1968047186109494,"score_spread":0.18537780409391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986310768","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":[0.10554086,0.000016861697,0.8617035,0.0000023165078,0.00012324528,0.00026911928,0.000005111985,0.00045907806,0.0318799],"genre_scores_gemma":[0.8965773,8.244841e-7,0.10314621,0.000011144008,0.00000601686,0.000015025017,0.00001192459,0.00003317813,0.00019840116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994144,0.0000088165325,0.0001746523,0.00013398343,0.00007684762,0.00019131324],"domain_scores_gemma":[0.9996469,0.000020470436,0.00003511634,0.00013379939,0.00008706306,0.000076624754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006297443,0.00012977795,0.00010610683,0.00007813446,0.00004038755,0.000010393847,0.000051322753,0.000046356006,0.0005353388],"category_scores_gemma":[0.000015358444,0.00011034547,0.000016596756,0.00012647193,0.000045806068,0.000084339736,0.000006919744,0.0000670847,0.00008476301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012851351,0.000027615295,0.00011373075,0.000027160855,0.000016093709,0.0000048437505,0.0013514231,0.9922653,0.0050119413,0.0004718707,0.000021549908,0.0006756305],"study_design_scores_gemma":[0.00083250395,0.00007155399,0.000118904616,0.000055500168,0.000016313501,0.0000133570875,0.0016448193,0.9680064,0.028841449,0.0000061362553,0.00010328796,0.00028979994],"about_ca_topic_score_codex":0.000017671999,"about_ca_topic_score_gemma":0.000011412314,"teacher_disagreement_score":0.7910364,"about_ca_system_score_codex":0.00006667865,"about_ca_system_score_gemma":0.00001261962,"threshold_uncertainty_score":0.58615845},"labels":[],"label_agreement":null},{"id":"W1986773085","doi":"10.1109/twc.2006.1687760","title":"Transactions Papers - Space-time-frequency characterization of MIMO wireless channels","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"U.S. Department of Defense","keywords":"Fading; MIMO; Transmitter; Autocorrelation; Moment-generating function; Channel (broadcasting); Wireless; Topology (electrical circuits); Exponent; Correlation function (quantum field theory); Antenna (radio); Computer science; Mathematics; Electronic engineering; Telecommunications; Random variable; Statistics; Engineering; Spectral density; Combinatorics","score_opus":0.010696186573485434,"score_gpt":0.21694280275653424,"score_spread":0.20624661618304882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986773085","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":[0.034877602,0.00009093641,0.9589157,0.0002598526,0.0005603859,0.000688951,0.0003439458,0.000813464,0.0034491555],"genre_scores_gemma":[0.9926132,0.0008023104,0.0047632083,0.000016702961,0.00004633331,0.00038842254,0.00020687967,0.00013275933,0.001030174],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814326,0.00013951273,0.00080400007,0.00030014178,0.00024796106,0.0003651265],"domain_scores_gemma":[0.99767697,0.00017126356,0.00019416555,0.0016509454,0.00020351072,0.0001031384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013005594,0.0003729491,0.00044393074,0.000443273,0.0004527705,0.000046963,0.0006597133,0.00024342055,0.00018195096],"category_scores_gemma":[0.0000018164634,0.0004469798,0.00020752063,0.0009750279,0.00022007927,0.0005306566,0.0000023229381,0.00043916152,0.00007986051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011215678,0.00033845505,0.0000073593387,0.000082279555,0.000088776265,6.272048e-7,0.00031361065,0.4473995,0.542363,0.0007429485,0.000017353352,0.008634861],"study_design_scores_gemma":[0.0013654521,0.00012266611,0.00021393584,0.00044280104,0.00025046323,0.000028055,0.00021237711,0.60045505,0.39433545,0.00022601952,0.0012111522,0.0011365591],"about_ca_topic_score_codex":0.00014723437,"about_ca_topic_score_gemma":0.000195991,"teacher_disagreement_score":0.9577356,"about_ca_system_score_codex":0.00022705828,"about_ca_system_score_gemma":0.000052374766,"threshold_uncertainty_score":0.9997982},"labels":[],"label_agreement":null},{"id":"W1986966935","doi":"10.1109/mwc.2011.6056695","title":"Network cooperation for energy saving in green radio communications","year":2011,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Energy consumption; Quality of service; Computer network; Energy (signal processing); Wireless; Transmission (telecommunications); Resource (disambiguation); Wireless network; Efficient energy use; Telecommunications","score_opus":0.04981926492304936,"score_gpt":0.2553899034145982,"score_spread":0.20557063849154886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986966935","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":[0.0017207862,0.0025874597,0.9859451,0.00021318262,0.00031297092,0.00065113587,0.0000326048,0.0005207588,0.008015967],"genre_scores_gemma":[0.8974645,0.0014792115,0.09962852,0.000059776434,0.00006609624,0.00089465675,0.00020764985,0.00006984929,0.00012970368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884856,0.00013694521,0.00051475246,0.0001559271,0.000060456925,0.00028333263],"domain_scores_gemma":[0.9968015,0.00027166965,0.00009342808,0.0026320596,0.00014129515,0.00006003457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022824106,0.00017375182,0.00023311426,0.00013517344,0.00032350988,0.000026777288,0.0013225711,0.00012488595,0.000006955811],"category_scores_gemma":[0.00001920132,0.00021399668,0.000050709972,0.00050610816,0.00011491085,0.00036568593,0.00012950356,0.00020111502,0.00000966059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033274766,0.00037047148,0.0023631705,0.00012959958,0.00013942884,0.0000010262597,0.0065960465,0.6814716,0.007013255,0.2608681,0.0026484015,0.03836566],"study_design_scores_gemma":[0.0005423136,0.000022566122,0.000454545,0.0001393223,0.00002446422,0.0000051986635,0.00016701626,0.98747885,0.0005592963,0.0020356313,0.008214111,0.00035669102],"about_ca_topic_score_codex":0.00039197854,"about_ca_topic_score_gemma":0.006184382,"teacher_disagreement_score":0.8957437,"about_ca_system_score_codex":0.00017136679,"about_ca_system_score_gemma":0.000032923217,"threshold_uncertainty_score":0.8726532},"labels":[],"label_agreement":null},{"id":"W1987131910","doi":"10.1109/tsp.2011.2169250","title":"Bit Allocation Laws for Multiantenna Channel Feedback Quantization: Multiuser Case","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Quantization (signal processing); Computer science; Base station; Channel (broadcasting); Channel state information; Algorithm; Multiplexing; Quality of service; Antenna array; Control theory (sociology); Computer network; Telecommunications; Antenna (radio); Wireless","score_opus":0.04448570350255814,"score_gpt":0.2516122295329082,"score_spread":0.20712652603035003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987131910","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":[0.0018979729,0.00013857534,0.99608135,0.000017974608,0.00038390892,0.0006158168,0.000028492514,0.0006033432,0.00023254952],"genre_scores_gemma":[0.96370685,0.000017989472,0.03562772,0.000036156052,0.00008126801,0.0002404164,0.000010821472,0.00010348705,0.00017530074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989086,0.000021113598,0.0003807029,0.00028963198,0.00011416778,0.0002858135],"domain_scores_gemma":[0.99937683,0.000045603498,0.00008347489,0.00016207465,0.0002405744,0.000091439484],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000117547585,0.00024401075,0.0001941098,0.0001636912,0.000324311,0.000048423943,0.000093402276,0.00014369088,0.000045960296],"category_scores_gemma":[0.00000379853,0.00026271088,0.000078515506,0.00036305966,0.00003724148,0.00069398026,5.363253e-7,0.00015776188,0.000030698633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073828814,0.000113558075,0.0000020786115,0.00035864583,0.000041467087,0.000022178343,0.0023037633,0.947376,0.009717897,0.000014521364,0.000024539182,0.03995151],"study_design_scores_gemma":[0.0007111046,0.000059360085,0.000003292872,0.00016399025,0.000050082028,0.00014646741,0.00055577204,0.92335117,0.074545845,0.00005237056,0.0000558511,0.00030469018],"about_ca_topic_score_codex":0.000024327019,"about_ca_topic_score_gemma":0.0000836354,"teacher_disagreement_score":0.96180886,"about_ca_system_score_codex":0.00009378311,"about_ca_system_score_gemma":0.000026739737,"threshold_uncertainty_score":0.99998254},"labels":[],"label_agreement":null},{"id":"W1988231845","doi":"10.1109/pimrc.2013.6666312","title":"Precoding and decoding in the MIMO interference channel for discrete constellation","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; Zero-forcing precoding; Decoding methods; Computer science; MIMO; Interference (communication); Channel state information; Algorithm; Transmitter; Channel (broadcasting); Joint (building); Signal-to-noise ratio (imaging); Bit error rate; Computational complexity theory; Telecommunications; Mathematics; Control theory (sociology); Wireless; Engineering; Artificial intelligence","score_opus":0.029122004279950518,"score_gpt":0.2586595541381402,"score_spread":0.22953754985818967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988231845","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":[0.009565712,0.00037454863,0.9796749,0.000055266286,0.00048590038,0.0014956653,0.000012197616,0.00013521712,0.008200599],"genre_scores_gemma":[0.98475087,0.00021952321,0.014609558,0.000014027379,0.000080835656,0.00019722876,0.00004050002,0.000029846327,0.00005759234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992349,0.000025332583,0.00029929946,0.00022457415,0.000047279118,0.00016862935],"domain_scores_gemma":[0.9994674,0.000210697,0.00006708717,0.00019860301,0.000033243752,0.000022973656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002068178,0.00018549291,0.00020238763,0.00010579264,0.00003503986,0.00011412948,0.00014491042,0.00015145582,0.000011331063],"category_scores_gemma":[0.000039133753,0.00014582361,0.00003107877,0.00005173346,0.000018398798,0.00015690818,0.000093384326,0.00020966113,0.0000024608069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038244098,0.0000026538635,0.00020434758,0.00064850436,0.000018433828,2.4183777e-7,0.0017921267,0.99098355,0.00018751986,0.0010570646,0.00021164304,0.0048901024],"study_design_scores_gemma":[0.00015264997,0.000008126584,0.00004300946,0.00037517503,0.000009449585,0.0000031785912,0.0004638469,0.99568343,0.00033269022,0.0026839715,0.00005452865,0.00018995583],"about_ca_topic_score_codex":0.000024008745,"about_ca_topic_score_gemma":0.000056152563,"teacher_disagreement_score":0.97518516,"about_ca_system_score_codex":0.00006260732,"about_ca_system_score_gemma":0.000007259836,"threshold_uncertainty_score":0.5946514},"labels":[],"label_agreement":null},{"id":"W1988920049","doi":"10.1109/glocom.2012.6503262","title":"A polarization enabled cooperation framework for cognitive radio networking","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cognitive radio; Computer science; Relay; Maximization; Polarization (electrochemistry); Throughput; Optimization problem; Interference (communication); Convex optimization; Nonlinear programming; Computer network; Geometric programming; Nonlinear system; Electronic engineering; Mathematical optimization; Power (physics); Telecommunications; Regular polygon; Wireless; Algorithm; Engineering; Mathematics","score_opus":0.01434684723060884,"score_gpt":0.24561584990498625,"score_spread":0.23126900267437742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988920049","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":[0.002039375,0.00051882694,0.9939079,0.0000091063675,0.0009340069,0.0005688354,0.0000042477445,0.00040536816,0.0016122854],"genre_scores_gemma":[0.8986413,0.000020792622,0.099954404,0.000044981916,0.000868202,0.00010482386,0.00010882544,0.000044970944,0.00021173095],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994351,0.000015581774,0.00016571094,0.000085815394,0.000047150388,0.00025063122],"domain_scores_gemma":[0.9996195,0.00014085326,0.000029425875,0.00007268449,0.000082499086,0.000055082688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012091042,0.000103994375,0.00010712909,0.00004802155,0.00008079344,0.000030220592,0.00003069007,0.00010889765,0.000031971587],"category_scores_gemma":[0.00009716949,0.00010782057,0.000023610202,0.0001877121,0.0000064915453,0.00048285778,0.000005855983,0.000067993686,0.000018366238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039382794,0.000045303474,0.0048500206,0.00015091375,0.00011011438,2.3718643e-7,0.001614997,0.90278065,0.00529727,0.0721092,0.00072680693,0.012275074],"study_design_scores_gemma":[0.00071655033,0.000033007134,0.00024175043,0.00017197721,0.000052258536,0.000005806471,0.0002566776,0.9850506,0.009408691,0.00083100743,0.002825348,0.00040631817],"about_ca_topic_score_codex":0.0000018831928,"about_ca_topic_score_gemma":0.0000022889574,"teacher_disagreement_score":0.8966019,"about_ca_system_score_codex":0.000063606116,"about_ca_system_score_gemma":0.0000057414077,"threshold_uncertainty_score":0.4396795},"labels":[],"label_agreement":null},{"id":"W1988969976","doi":"10.1145/2507924.2507945","title":"Understanding the benefits of open access in Femtocell networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Macrocell; Correctness; Computer science; Stochastic geometry; Telecommunications link; Interference (communication); Computer network; Upper and lower bounds; Mathematics; Algorithm; Base station; Statistics","score_opus":0.10671135592827342,"score_gpt":0.2942638876530936,"score_spread":0.18755253172482017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988969976","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":[0.005527937,0.00013736078,0.94795287,0.00004374123,0.000113391565,0.0005696228,4.1638995e-7,0.000048978214,0.0456057],"genre_scores_gemma":[0.9987022,0.000049263297,0.000984698,0.000019746793,0.000017581771,0.00003911031,0.0000017180735,0.000015645965,0.00017000936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996181,0.000009808944,0.00015908878,0.000064245156,0.000037418584,0.00011129842],"domain_scores_gemma":[0.99974895,0.0000512482,0.000025380836,0.0001424728,0.000015762824,0.000016216914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000801885,0.000058040936,0.000091115224,0.000038708455,0.000018413899,0.00012645643,0.00044636455,0.000032734944,0.00012726434],"category_scores_gemma":[0.0000063938346,0.00004176004,0.000009448454,0.00024183553,0.000009344229,0.00077565666,0.00014459246,0.000056688386,0.0000062862905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.1600593e-7,0.0000023250698,0.001634653,0.0000098820965,0.0000034671714,5.0030526e-8,0.000060399765,0.9934247,0.000026848773,0.0038105617,0.0006928224,0.00033367897],"study_design_scores_gemma":[0.00017487042,0.0000035155358,0.0017834823,0.00004061615,0.0000015790838,4.4939017e-7,0.0002956828,0.9962427,0.00027658406,0.0010916279,0.00001773435,0.000071169154],"about_ca_topic_score_codex":0.00019721092,"about_ca_topic_score_gemma":0.00024849307,"teacher_disagreement_score":0.9931743,"about_ca_system_score_codex":0.00006928676,"about_ca_system_score_gemma":0.0000033130818,"threshold_uncertainty_score":0.1702925},"labels":[],"label_agreement":null},{"id":"W1989423868","doi":"10.1109/infocom.2014.6848037","title":"Structured spectrum allocation and user association in heterogeneous cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Telecommunications link; Frequency allocation; Mathematical optimization; Nash equilibrium; Base station; Geometric programming; Stochastic geometry; Convex optimization; Association scheme; Association (psychology); Probability density function; Optimization problem; Cellular network; Regular polygon; Computer network; Algorithm; Mathematics; Statistics","score_opus":0.0025431149609427034,"score_gpt":0.16793359120343992,"score_spread":0.16539047624249723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989423868","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":[0.09787963,0.000113994436,0.90085214,0.000028280003,0.0002118154,0.00013346152,3.8535646e-7,0.0001546622,0.0006256222],"genre_scores_gemma":[0.99669814,0.000029877798,0.0029552085,0.00001924378,0.00008585514,0.0000071671707,0.000015294505,0.000020945698,0.000168272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995359,0.000024146138,0.00014616625,0.000102961436,0.000053700565,0.0001371073],"domain_scores_gemma":[0.9998115,0.000026758195,0.000030354586,0.00009321685,0.000012407822,0.000025776451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010201882,0.000079617355,0.00009503912,0.000048476053,0.000016209904,0.000021235735,0.000030289828,0.00009292288,0.000014661243],"category_scores_gemma":[0.00001916766,0.00008466754,0.00000995141,0.00009017664,0.000002994888,0.00010328977,0.0000076646065,0.00006455807,0.000003965703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.979332e-7,0.0000015092802,0.003892456,0.000008454328,0.0000054860457,2.5258498e-7,0.000031353542,0.99349815,0.0015743916,0.00032730584,0.0000471354,0.00061251654],"study_design_scores_gemma":[0.00021536651,0.000007796186,0.0017081525,0.0000070000406,0.0000035145993,0.000001271133,0.0000063431985,0.9919382,0.0054233847,0.00021630291,0.00037041956,0.00010228147],"about_ca_topic_score_codex":0.000015271458,"about_ca_topic_score_gemma":0.0002732619,"teacher_disagreement_score":0.8988185,"about_ca_system_score_codex":0.00013798849,"about_ca_system_score_gemma":0.0000014596106,"threshold_uncertainty_score":0.3452642},"labels":[],"label_agreement":null},{"id":"W1990656927","doi":"10.1109/twc.2013.122713.131133","title":"Optimizing Network Sustainability and Efficiency in Green Cellular Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Efficient energy use; Sustainability; Cellular network; Throughput; Computer network; Resource allocation; Queue; Base station; Energy consumption; Network performance; Distributed computing; Telecommunications; Wireless; Engineering","score_opus":0.00983389278896951,"score_gpt":0.2270393544197632,"score_spread":0.21720546163079368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990656927","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":[0.009465475,0.00048498192,0.98834145,0.00016380272,0.00017418293,0.0004084645,0.0000034169154,0.0003249862,0.0006332309],"genre_scores_gemma":[0.9889145,0.00052053406,0.01024322,0.000022806295,0.000028994244,0.00016366188,0.000007982406,0.000045659035,0.000052626077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882925,0.00018620641,0.00037501016,0.0002103347,0.00008107474,0.00031815117],"domain_scores_gemma":[0.99827117,0.00034581526,0.000046964335,0.0011768086,0.000077974306,0.00008124643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033346907,0.00018549782,0.00022964815,0.00014391782,0.0003234657,0.000034069748,0.00038089635,0.00012915253,0.000005217138],"category_scores_gemma":[0.0000066934435,0.00021863957,0.000046962865,0.00058174017,0.00013114995,0.00019973586,0.000006825687,0.0004617419,0.000003514959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004307455,0.000055166278,0.00006072197,0.00003405946,0.000009519324,2.5650223e-7,0.00032920152,0.98035264,0.000092397655,0.0006937688,0.000004532649,0.018363414],"study_design_scores_gemma":[0.00029680057,0.000023522789,0.000072149305,0.000064924076,0.000014265441,0.0000019324975,0.00014086542,0.99852926,0.00019653032,0.00023871416,0.00021712524,0.00020393035],"about_ca_topic_score_codex":0.00011220148,"about_ca_topic_score_gemma":0.0005620657,"teacher_disagreement_score":0.97944903,"about_ca_system_score_codex":0.00020341041,"about_ca_system_score_gemma":0.000016853457,"threshold_uncertainty_score":0.89158624},"labels":[],"label_agreement":null},{"id":"W1990903234","doi":"10.4236/wet.2012.31006","title":"Hybrid Amplification: An Efficient Scheme for Energy Saving in MIMO Systems","year":2012,"lang":"en","type":"article","venue":"Wireless Engineering and Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"MIMO; Transmitter; Amplifier; Rayleigh fading; Electronic engineering; Computer science; Power (physics); Energy (signal processing); Fading; Topology (electrical circuits); Algorithm; Mathematics; Engineering; Electrical engineering; Channel (broadcasting); Telecommunications; Physics; Statistics","score_opus":0.006924258053099227,"score_gpt":0.2002147077165881,"score_spread":0.19329044966348885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990903234","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":[0.33334798,0.0025238267,0.6627205,0.000014020383,0.00039230485,0.00016102748,0.00000566096,0.0008090782,0.000025605339],"genre_scores_gemma":[0.9886444,0.00005366007,0.010835054,0.0000014995867,0.000097924734,0.0002806183,0.000018475948,0.00005524959,0.0000130957815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991847,0.0000050769727,0.000233722,0.0001693067,0.000044784018,0.00036239455],"domain_scores_gemma":[0.99961346,0.000032079475,0.000029061906,0.00022873601,0.000032717377,0.00006394732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011321666,0.00015685688,0.00020746981,0.0003679566,0.000033275963,0.000016327629,0.00009638638,0.00014251895,5.217513e-7],"category_scores_gemma":[0.000023590828,0.00018080274,0.00001360123,0.00024336163,0.00001865456,0.00011432349,0.000019362855,0.00010465478,0.000001122717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017029629,0.000021153972,0.00044124064,0.00017310999,0.00001144482,9.317648e-7,0.000054903354,0.91411823,0.021665905,0.060591966,0.000010109505,0.002909307],"study_design_scores_gemma":[0.00024118216,0.000015228733,0.000069522066,0.00007485394,0.000004157729,0.000037387137,0.0000701669,0.992424,0.0050494033,0.000021434707,0.001786261,0.00020636436],"about_ca_topic_score_codex":0.000009738025,"about_ca_topic_score_gemma":0.000002183106,"teacher_disagreement_score":0.65529644,"about_ca_system_score_codex":0.0000857024,"about_ca_system_score_gemma":0.0000043819487,"threshold_uncertainty_score":0.7372922},"labels":[],"label_agreement":null},{"id":"W1990931228","doi":"10.1109/glocomw.2012.6477563","title":"Iterative power allocation for downlink green cognitive radio network","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematical optimization; Fractional programming; Iterative method; Convergence (economics); Computer science; Telecommunications link; Joule (programming language); Cognitive radio; Nonlinear programming; Convex optimization; Power (physics); Optimization problem; Nonlinear system; Energy (signal processing); Regular polygon; Mathematics; Telecommunications; Wireless","score_opus":0.010994536595387612,"score_gpt":0.23861327062761695,"score_spread":0.22761873403222935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990931228","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":[0.0014521199,0.0004890907,0.987106,0.000024521876,0.0005161074,0.00057539606,0.000011915446,0.0002733097,0.009551531],"genre_scores_gemma":[0.96536005,0.000010224585,0.03274764,0.00006773468,0.0005252936,0.00015021388,0.00010680218,0.000037099227,0.0009949256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994381,0.000014124389,0.00015611325,0.00008913066,0.0000472197,0.00025531623],"domain_scores_gemma":[0.9996342,0.000102004255,0.000027768825,0.000079631325,0.00009548185,0.0000609004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010790532,0.00011136488,0.00011237841,0.000030224062,0.000047238165,0.0000130239505,0.000036947302,0.00006405285,0.00006391489],"category_scores_gemma":[0.00002505524,0.0001064048,0.000031166717,0.000109773064,0.000010213678,0.00043232547,0.0000073801475,0.000048821144,0.000052381114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000757987,0.000070556096,0.0038796028,0.0001585646,0.00033009297,6.2533206e-7,0.0070265024,0.939029,0.0016269337,0.018351553,0.014986859,0.014463959],"study_design_scores_gemma":[0.0045107566,0.00030435476,0.0057080337,0.000399997,0.00020435802,0.00003329544,0.0020347447,0.92789584,0.01622062,0.0018085358,0.03878391,0.002095555],"about_ca_topic_score_codex":0.000003452085,"about_ca_topic_score_gemma":0.000008688682,"teacher_disagreement_score":0.96390796,"about_ca_system_score_codex":0.000057967143,"about_ca_system_score_gemma":0.0000044312155,"threshold_uncertainty_score":0.43390617},"labels":[],"label_agreement":null},{"id":"W1991067162","doi":"10.1109/acssc.2012.6489202","title":"Simulated annealing user scheduling for coordinated heterogeneous MIMO networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; Base station; Computer science; Simulated annealing; MIMO; Scheduling (production processes); Channel state information; Distributed computing; Channel (broadcasting); Mathematical optimization; Algorithm; Computer network; Wireless; Mathematics; Telecommunications","score_opus":0.013072646279192973,"score_gpt":0.2404913224446865,"score_spread":0.22741867616549352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991067162","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":[0.03953672,0.0010952748,0.9570338,0.000005511497,0.0007133439,0.0004119512,0.0000034951893,0.00087807997,0.00032182876],"genre_scores_gemma":[0.95670605,0.000014719276,0.042632006,0.00003208331,0.00027397263,0.000022993012,0.000050565817,0.000087923625,0.00017967427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990942,0.00001223642,0.0002601537,0.00012439507,0.000045702025,0.00046334858],"domain_scores_gemma":[0.9995269,0.00008179257,0.000034602213,0.00016653452,0.000079218335,0.000110913395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001235119,0.00016613679,0.00017639414,0.00005965293,0.00007228608,0.000025538016,0.00007390676,0.00013767778,0.000031336003],"category_scores_gemma":[0.00003374107,0.00016998492,0.000053903877,0.0001766815,0.0000081705375,0.00028288277,0.000015325644,0.00008184719,0.000014719594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007375473,0.0000071235413,0.00045964986,0.00003314892,0.000038408794,4.104587e-7,0.00004557801,0.99773216,0.0009968089,0.00009064216,0.00010243194,0.0004862822],"study_design_scores_gemma":[0.0003826224,0.000010802045,0.000008931996,0.000024847828,0.000015747066,0.000005808243,0.000025115289,0.99301004,0.00515298,0.000008182224,0.0011423212,0.00021258742],"about_ca_topic_score_codex":0.0000054994816,"about_ca_topic_score_gemma":0.0000029929845,"teacher_disagreement_score":0.91716933,"about_ca_system_score_codex":0.0000680625,"about_ca_system_score_gemma":0.0000029210667,"threshold_uncertainty_score":0.6931784},"labels":[],"label_agreement":null},{"id":"W1991469970","doi":"10.1109/glocomw.2014.7063645","title":"Optimized beamforming and backhaul compression for uplink MIMO cloud radio access networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Beamforming; Telecommunications link; Computer science; C-RAN; Quantization (signal processing); MIMO; Base station; Radio access network; Relay; Computer network; Mathematical optimization; Algorithm; Telecommunications; Mathematics; Mobile station","score_opus":0.011610294054691559,"score_gpt":0.24611359705695912,"score_spread":0.23450330300226757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991469970","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":[0.0012017011,0.0003176908,0.994521,0.000026628988,0.0007147345,0.00052197586,0.0000016659016,0.00042133234,0.0022732404],"genre_scores_gemma":[0.4673015,0.00021508672,0.5308693,0.00007791071,0.00071833614,0.0001282283,0.00007040497,0.000115404255,0.00050380256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920774,0.000015036228,0.0002711496,0.0001948714,0.00005327244,0.00025794026],"domain_scores_gemma":[0.9994359,0.00017813765,0.00005037415,0.00020134993,0.000043625525,0.00009059961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017453835,0.00017105111,0.0002588393,0.000055557208,0.00009985918,0.00007757337,0.00014219127,0.00012043433,0.000020093146],"category_scores_gemma":[0.00003102916,0.000155597,0.00003985545,0.00008850864,0.00001790114,0.00038708837,0.000054084707,0.000092537004,0.0000022922777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000194943,0.0000037141267,0.000042224794,0.00007554244,0.000013479319,1.12852625e-7,0.000029353569,0.99139595,0.00023257901,0.00034291722,0.0015974445,0.0062471824],"study_design_scores_gemma":[0.0012182487,0.000017919272,0.000018040553,0.0000690327,0.000013925908,0.00000436435,0.000014715314,0.99385506,0.0009590836,0.0001250702,0.0035009424,0.00020358268],"about_ca_topic_score_codex":0.000005285907,"about_ca_topic_score_gemma":0.0000025913994,"teacher_disagreement_score":0.4660998,"about_ca_system_score_codex":0.00003311139,"about_ca_system_score_gemma":0.0000030813271,"threshold_uncertainty_score":0.6345061},"labels":[],"label_agreement":null},{"id":"W1991621115","doi":"10.1109/tit.2011.2178155","title":"On the Application of Character Expansions for MIMO Capacity Analysis","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wishart distribution; Mathematics; Eigenvalues and eigenvectors; Random matrix; Unitary matrix; MIMO; Matrix (chemical analysis); Applied mathematics; Unitary state; Beamforming; Statistics","score_opus":0.010646952174405843,"score_gpt":0.21844858086931804,"score_spread":0.2078016286949122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991621115","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":[0.012627883,0.000006005224,0.9852727,0.000025282121,0.00030575827,0.00054793106,0.00014941367,0.00013382093,0.00093120406],"genre_scores_gemma":[0.9975652,0.000007756262,0.0017663265,0.00009785574,0.000025415418,0.00045497777,0.00003569571,0.00001266179,0.00003409327],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993079,0.000038236976,0.00034532542,0.00005102081,0.00011051765,0.00014700776],"domain_scores_gemma":[0.9990949,0.00036138846,0.000109845336,0.00029928886,0.00009227034,0.000042311814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037772185,0.00011319986,0.00013816127,0.0002902003,0.00013125679,0.000011851208,0.000089704685,0.00007474279,0.000063279855],"category_scores_gemma":[0.0000147666115,0.0000892841,0.00013560872,0.0004259245,0.000030329002,0.00081382645,3.2960565e-7,0.000108144886,0.00006767054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035872254,0.000039189625,0.000004560105,0.00004495027,0.00018145493,1.9751922e-9,0.0018284745,0.95398444,0.0009962451,0.03479765,0.000058801463,0.008028383],"study_design_scores_gemma":[0.00081322266,0.00009548134,0.00042476194,0.00005323023,0.0007206101,0.0000024829458,0.0016078975,0.80112904,0.18718511,0.0036223012,0.0038197339,0.00052610424],"about_ca_topic_score_codex":0.000003030628,"about_ca_topic_score_gemma":0.0000026408813,"teacher_disagreement_score":0.9849373,"about_ca_system_score_codex":0.00006782562,"about_ca_system_score_gemma":0.0000052481782,"threshold_uncertainty_score":0.36409},"labels":[],"label_agreement":null},{"id":"W1992870629","doi":"10.1109/icc.2013.6654796","title":"Unlicensed spectrum splitting between Femtocell and WiFi","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Femtocell; Quality of service; Computer network; Computer science; Spectrum management; Constraint (computer-aided design); Service provider; Cellular network; Frequency allocation; Service (business); Wireless; Cognitive radio; Telecommunications; Business; Engineering; Base station","score_opus":0.0070889972697058936,"score_gpt":0.18697615334352632,"score_spread":0.17988715607382044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992870629","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":[0.33044448,0.00015759724,0.6004088,0.00013664496,0.00013731136,0.0004956185,0.0000022177787,0.0009125696,0.067304805],"genre_scores_gemma":[0.9822752,0.000011673001,0.016046634,0.00001538036,0.00012192766,0.000012456975,0.000004915333,0.000030087593,0.0014817474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995157,0.000006378952,0.00015221094,0.00011055906,0.0000430665,0.00017205461],"domain_scores_gemma":[0.99974984,0.0000379123,0.000017447524,0.00011909875,0.000013943877,0.000061770974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004186284,0.00009467412,0.000111414454,0.000057099507,0.000029971021,0.000036612262,0.000041600717,0.000046350873,0.000114406444],"category_scores_gemma":[0.000008747639,0.00009133678,0.000012211158,0.00011412832,0.0000103867305,0.00020690764,0.000015720514,0.00006283955,0.00017677482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000737041,0.000049018683,0.1870997,0.0014343667,0.00035947005,0.000012467558,0.0034712031,0.5869493,0.10704639,0.015719976,0.016089756,0.081760995],"study_design_scores_gemma":[0.0016351924,0.00008331571,0.0493528,0.00013743127,0.000049655166,0.000021772614,0.0007597524,0.87587404,0.05978459,0.00398689,0.006880446,0.0014341109],"about_ca_topic_score_codex":0.000038578346,"about_ca_topic_score_gemma":0.0000038122134,"teacher_disagreement_score":0.65183073,"about_ca_system_score_codex":0.000030771225,"about_ca_system_score_gemma":0.0000020749085,"threshold_uncertainty_score":0.37246057},"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":"W1993198472","doi":"10.1155/2014/597425","title":"Efficient Priority Access to the Shared Commercial Radio with Offloading for Public Safety in LTE Heterogeneous Networks","year":2014,"lang":"en","type":"article","venue":"Journal of Computer Networks and Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Macrocell; Preemption; Blocking (statistics); Heterogeneous network; Prioritization; Cellular network; Radio access network; Telecommunications; Wireless; Wireless network; Base station; Business","score_opus":0.020673561496569577,"score_gpt":0.2520568808766912,"score_spread":0.23138331938012163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993198472","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":[0.0053383843,0.0011686968,0.99163586,0.0011204915,0.00028100217,0.000381887,0.0000021972548,0.000026127498,0.000045350323],"genre_scores_gemma":[0.9629815,0.0003498382,0.036059953,0.00017115832,0.00038342905,0.000022773753,0.000007727797,0.000022262207,0.0000013408758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990508,0.00012520266,0.00045993502,0.0000828413,0.000079780155,0.00020145954],"domain_scores_gemma":[0.99870485,0.0003738028,0.00016942337,0.00049808115,0.00015994109,0.00009387363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005695023,0.00012045536,0.00025012213,0.00009584818,0.00024845166,0.00019849536,0.00076981744,0.00005418768,8.12819e-7],"category_scores_gemma":[0.000013182592,0.000089757916,0.00004845888,0.00028478165,0.000033206605,0.00014206706,0.00018849297,0.00029568988,1.517664e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023752757,0.000021930078,0.00080758345,0.000007016503,0.0000308084,2.614779e-7,0.00016299676,0.97055334,5.222617e-7,0.00028142426,0.00034950348,0.02776088],"study_design_scores_gemma":[0.00050783594,0.00007304747,0.0034482328,0.00012938633,0.000015719526,0.000038912323,0.000008399478,0.98752505,5.095008e-7,0.000018243209,0.0081315935,0.00010310202],"about_ca_topic_score_codex":0.0000038365865,"about_ca_topic_score_gemma":0.00024766,"teacher_disagreement_score":0.95764315,"about_ca_system_score_codex":0.000077157325,"about_ca_system_score_gemma":0.000014825321,"threshold_uncertainty_score":0.36602217},"labels":[],"label_agreement":null},{"id":"W1993413558","doi":"10.1109/iccitechnol.2012.6285777","title":"Greedy spectrum sharing for cognitive MIMO networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cognitive radio; Greedy algorithm; Computer science; MIMO; Base station; Computational complexity theory; Mathematical optimization; Spectral efficiency; Cognitive network; Algorithm; Computer network; Wireless; Telecommunications; Mathematics","score_opus":0.014974606156091173,"score_gpt":0.23574654514293422,"score_spread":0.22077193898684305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993413558","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":[0.0019879418,0.0004150428,0.9806787,0.000007739461,0.0005848845,0.00032662484,0.0000035590203,0.00039377846,0.015601771],"genre_scores_gemma":[0.9893305,0.000014071631,0.0092023825,0.000024487808,0.0005392209,0.000065702,0.00002301927,0.00004573966,0.00075489725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994344,0.0000028714883,0.00012614054,0.00009146572,0.00003330391,0.0003118345],"domain_scores_gemma":[0.99975896,0.000051100273,0.00001690134,0.0000870443,0.000020368898,0.00006560577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008079625,0.00009759797,0.000099364006,0.000036266778,0.00003644765,0.000014174647,0.000051772095,0.000054153603,0.000062797044],"category_scores_gemma":[0.00001721958,0.000099104705,0.000031510237,0.000083667524,0.000006809183,0.00028747818,0.000016621168,0.000055348068,0.00003225398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012597747,0.000018871648,0.0061660297,0.000074541545,0.000065682994,4.1614027e-7,0.0002699247,0.9827899,0.00017882518,0.0062225866,0.0010989163,0.0031017242],"study_design_scores_gemma":[0.0004022904,0.000015002396,0.000489097,0.000039983282,0.000019630546,0.0000054295588,0.00014415763,0.99577224,0.0019249803,0.0001871174,0.00077919755,0.00022084881],"about_ca_topic_score_codex":0.000004379397,"about_ca_topic_score_gemma":0.000012515106,"teacher_disagreement_score":0.98734254,"about_ca_system_score_codex":0.00004216074,"about_ca_system_score_gemma":0.0000013898132,"threshold_uncertainty_score":0.40413725},"labels":[],"label_agreement":null},{"id":"W1993546399","doi":"10.1049/iet-com:20050416","title":"Capacity analysis for a multiuser cross-layer downlink model in the presence of fading and interference","year":2007,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Telecommunications link; Physical layer; Computer science; Scheduling (production processes); Fading; Base station; Beamforming; PHY; Interference (communication); Signal-to-interference-plus-noise ratio; Computer network; Telecommunications; Wireless; Mathematical optimization; Mathematics; Channel (broadcasting)","score_opus":0.08049654001323628,"score_gpt":0.3396949406064103,"score_spread":0.259198400593174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993546399","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":[0.12990382,0.00017830508,0.86904836,0.000047956506,0.000010899504,0.00023161752,0.00002503185,0.000027804332,0.0005261795],"genre_scores_gemma":[0.9072037,0.00008307175,0.092612974,0.000008563808,0.0000034338993,0.00005673969,0.000012589919,0.00000670497,0.000012244141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949896,0.000026944761,0.00025313054,0.000074697484,0.000043367647,0.00010288303],"domain_scores_gemma":[0.9985964,0.00048906606,0.000049243226,0.000763666,0.0000852016,0.000016468297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000431566,0.00006198018,0.00011446514,0.00011915975,0.00006890547,0.00001825959,0.00042516092,0.00004203755,8.150428e-7],"category_scores_gemma":[0.00011252026,0.000054101936,0.000033950346,0.00039091808,0.00008146865,0.00015755965,0.00005974329,0.00011244686,2.947322e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032866603,0.000018108221,0.008051613,0.00002238939,0.00003386554,2.5834394e-8,0.00502771,0.98233145,0.0026333432,0.0015455311,0.0000056874837,0.00032696017],"study_design_scores_gemma":[0.00012338822,0.000003996635,0.0057001663,0.000018809887,0.00002707728,4.3870392e-7,0.000282153,0.9927128,0.0006566823,0.00038968856,0.000029393967,0.000055438017],"about_ca_topic_score_codex":0.00006948465,"about_ca_topic_score_gemma":0.0015130828,"teacher_disagreement_score":0.7772999,"about_ca_system_score_codex":0.000027537482,"about_ca_system_score_gemma":0.0000045645706,"threshold_uncertainty_score":0.22062129},"labels":[],"label_agreement":null},{"id":"W1993559306","doi":"10.1109/icmmt.2010.5525261","title":"On the channel capacity of MIMO Rayleigh-Lognormal fading channel","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Université de Montréal; Concordia University","funders":"","keywords":"Fading; MIMO; Fading distribution; Rayleigh fading; Log-normal distribution; Channel state information; Channel capacity; Probability density function; Channel (broadcasting); Computer science; Mathematics; Electronic engineering; Wireless; Telecommunications; Statistics; Engineering","score_opus":0.014263660808606606,"score_gpt":0.19975790835009052,"score_spread":0.18549424754148391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993559306","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":[0.232701,0.000013864405,0.7350242,0.00008826688,0.0012594396,0.00031921905,0.0000110233805,0.00031566276,0.030267287],"genre_scores_gemma":[0.99806106,0.000004770153,0.0015162072,0.000035993722,0.000111977126,0.000023396553,0.0000030365413,0.000027988825,0.0002155443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938804,0.000013256689,0.00019011786,0.00011085496,0.00009995985,0.00019779908],"domain_scores_gemma":[0.99949336,0.000110768175,0.000041915046,0.0002643799,0.000047618003,0.000041940737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016704739,0.00012640793,0.00013713224,0.00006851778,0.00006119886,0.000010506334,0.00015409743,0.00008827618,0.000098919925],"category_scores_gemma":[0.00008119527,0.00008969108,0.000042357075,0.0001438367,0.000038825692,0.0001347445,0.000019225608,0.00023055979,0.000026821526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005440049,0.000019363584,0.000027625583,0.000052555668,0.000025737096,7.373964e-7,0.0007525746,0.9177453,0.047556363,0.0327825,0.0008329296,0.00019887465],"study_design_scores_gemma":[0.00027738576,0.000033962457,0.0000716886,0.0000376473,0.000008094711,0.0000069604284,0.00021138013,0.8265889,0.17048508,0.0017535845,0.00029291096,0.00023239825],"about_ca_topic_score_codex":0.000023049137,"about_ca_topic_score_gemma":0.000074143354,"teacher_disagreement_score":0.76536006,"about_ca_system_score_codex":0.00001695449,"about_ca_system_score_gemma":0.0000041293556,"threshold_uncertainty_score":0.3657496},"labels":[],"label_agreement":null},{"id":"W1994004937","doi":"10.1109/wimob.2010.5645039","title":"Efficient resource allocation for device-to-device communication underlaying LTE network","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":511,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Eion (Canada); Carleton University","funders":"","keywords":"EnodeB; Computer science; Computer network; Telecommunications link; Radio resource management; Cellular network; User equipment; Interference (communication); Transmitter; Resource allocation; Scheduling (production processes); Heuristic; Distributed computing; Channel (broadcasting); Wireless; Wireless network; Base station; Telecommunications; Engineering","score_opus":0.015215904297405032,"score_gpt":0.253825555149318,"score_spread":0.23860965085191296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994004937","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":[0.023300612,0.00011957394,0.9657213,0.00022029624,0.00028408473,0.0008219088,0.0000018748866,0.00059223233,0.008938092],"genre_scores_gemma":[0.82066125,0.0000037861619,0.17853473,0.00016250687,0.00014378173,0.00014778001,0.00004768027,0.000052186508,0.00024627495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999214,0.000022027953,0.000271486,0.00016261714,0.000087095344,0.00024280252],"domain_scores_gemma":[0.99906737,0.00018546183,0.000049803406,0.00050681905,0.000112034475,0.00007852147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034439555,0.00012913566,0.00012470016,0.00006345803,0.00016433891,0.000042855398,0.00020558076,0.0000928933,0.000014717797],"category_scores_gemma":[0.00007005597,0.00013896375,0.000031495998,0.00029118307,0.000011744183,0.0000693602,0.000037469625,0.00014439579,0.000045872457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000445417,0.0000070460487,0.00003911526,0.0000425402,0.000008787624,3.300377e-8,0.00019990485,0.9873765,0.0058539878,0.0033966945,0.0011670896,0.0019038618],"study_design_scores_gemma":[0.00022012829,0.000011305277,0.00011558725,0.00004627638,0.000012082149,0.0000016850663,0.00015900643,0.9644015,0.0015224922,0.00009409969,0.03322464,0.00019122467],"about_ca_topic_score_codex":0.000013022728,"about_ca_topic_score_gemma":0.00018805992,"teacher_disagreement_score":0.79736066,"about_ca_system_score_codex":0.0000737021,"about_ca_system_score_gemma":0.000010062632,"threshold_uncertainty_score":0.5666777},"labels":[],"label_agreement":null},{"id":"W1994125610","doi":"10.1109/iccs.2006.301441","title":"Transmit Antenna Selection for Sum Rate Maximization in Transmit Zero-Forcing Beamforming","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Beamforming; Transmitter; Precoding; Computer science; Channel state information; MIMO; Channel (broadcasting); Transmitter power output; Antenna (radio); Selection (genetic algorithm); Maximization; Mathematical optimization; Wireless; Computer network; Telecommunications; Mathematics","score_opus":0.00644569347257691,"score_gpt":0.19804823962934456,"score_spread":0.19160254615676767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994125610","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":[0.014490305,0.000100168596,0.98260766,0.000026601881,0.00018008261,0.0006840159,0.000005664353,0.00050000317,0.0014055042],"genre_scores_gemma":[0.9338582,0.000031232226,0.06515458,0.000014970228,0.00008114545,0.00011570131,0.00007815954,0.00007419363,0.00059181754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989677,0.000015186319,0.0004245169,0.00020131856,0.0000674826,0.00032378547],"domain_scores_gemma":[0.99974597,0.00004370732,0.000037776084,0.00008528314,0.00005846222,0.000028794153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018323322,0.00017791822,0.00019639415,0.00022594274,0.00006787651,0.00003218175,0.000059847214,0.00011079494,0.000015507065],"category_scores_gemma":[0.000009514241,0.00019358771,0.000057142093,0.0004262885,0.000008329014,0.0005656642,0.0000020859136,0.00008781769,0.0000036800764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016521677,0.000011994503,0.0006990907,0.00013362938,0.000006461933,3.4724752e-7,0.00010013303,0.9541053,0.042524047,0.0007420048,0.000053892556,0.0016065389],"study_design_scores_gemma":[0.00091248384,0.000023136203,0.00024652987,0.00006303107,0.000012346472,0.000005044462,0.00004472749,0.97090316,0.026294295,0.00078535016,0.00047357348,0.00023631533],"about_ca_topic_score_codex":0.00013981365,"about_ca_topic_score_gemma":0.00082647824,"teacher_disagreement_score":0.9193679,"about_ca_system_score_codex":0.00016830083,"about_ca_system_score_gemma":0.0000106805455,"threshold_uncertainty_score":0.78942776},"labels":[],"label_agreement":null},{"id":"W1994371836","doi":"10.1109/icacci.2014.6968259","title":"Performance dependence of line-of-sight multiuser multi-input multi-output system on allocated user bandwidth in an office environment","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"MIMO; Bandwidth (computing); Computer science; Line-of-sight; Bandlimiting; 3G MIMO; Electronic engineering; Non-line-of-sight propagation; Multi-user MIMO; Real-time computing; Telecommunications; Wireless; Engineering; Mathematics; Aerospace engineering","score_opus":0.016010783788010897,"score_gpt":0.2163160134616897,"score_spread":0.20030522967367878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994371836","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":[0.4499398,0.000040214614,0.5489982,0.0000016144985,0.00014024685,0.0004127028,0.000005482751,0.00016668397,0.00029506718],"genre_scores_gemma":[0.94009495,0.00003709898,0.059330773,0.0000067539,0.00002488609,0.000039438393,0.000019049854,0.00006324672,0.00038382594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838364,0.00007941199,0.00069926574,0.00032899523,0.00022657632,0.0002821251],"domain_scores_gemma":[0.9990742,0.00007776027,0.00015008722,0.0005432281,0.00006414357,0.00009057057],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002787628,0.00027598796,0.00040854685,0.00019997146,0.000027357733,0.000008370119,0.00025193635,0.00016697176,0.000017216547],"category_scores_gemma":[0.00003108691,0.00025440237,0.000043968877,0.00017264222,0.000035222285,0.00033409812,0.00003730077,0.00016274003,0.0000513205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036358135,0.00014201338,0.009957166,0.0004087901,0.000015160336,0.0000012465935,0.00029344845,0.9640075,0.023823215,0.000042222266,0.0000026419673,0.0012702486],"study_design_scores_gemma":[0.0014666248,0.00012121416,0.0100465175,0.00028690565,0.000010110244,0.000002046547,0.00010270095,0.91167784,0.07594784,6.3350846e-8,0.00009503678,0.00024311339],"about_ca_topic_score_codex":0.00007515765,"about_ca_topic_score_gemma":0.00015169667,"teacher_disagreement_score":0.49015513,"about_ca_system_score_codex":0.00016735654,"about_ca_system_score_gemma":0.0000101326805,"threshold_uncertainty_score":0.9999908},"labels":[],"label_agreement":null},{"id":"W1994425974","doi":"10.1109/wcnc.2012.6214312","title":"On fractional frequency reuse in imperfect cellular grids","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cellular network; Base station; Reuse; Grid; Topology (electrical circuits); Interference (communication); Frequency reuse; Transmitter power output; Telecommunications link; Electronic engineering; Mathematical optimization; Computer network; Mathematics; Transmitter; Electrical engineering; Engineering; Geometry","score_opus":0.007673009080297745,"score_gpt":0.21589511366510414,"score_spread":0.2082221045848064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994425974","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":[0.35903305,0.0005141782,0.58017737,0.000033342225,0.001383432,0.00024505658,0.0000041690037,0.0005181993,0.05809119],"genre_scores_gemma":[0.9918899,0.000013947101,0.0076563186,0.000021541095,0.000157289,0.000019504085,0.00001075308,0.000024983836,0.00020579221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995231,0.000013351131,0.00013524322,0.00007255679,0.000069841175,0.00018593043],"domain_scores_gemma":[0.99967307,0.00004612403,0.000011988166,0.0002105685,0.000010894624,0.000047369682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009012194,0.00008573203,0.00007831056,0.000088173,0.000015490075,0.0000057089155,0.00006580979,0.000061078186,0.0002718917],"category_scores_gemma":[0.000053515945,0.00008315948,0.000019371715,0.00012442698,0.0000047343574,0.000317453,0.000009440194,0.00011242991,0.00024992708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053951107,0.00006502102,0.0106506515,0.000040433453,0.000014856509,0.0000044887292,0.00028726365,0.9071291,0.06300909,0.015556055,0.0028741597,0.00036344712],"study_design_scores_gemma":[0.004969874,0.0003677285,0.030383077,0.00043400735,0.00005159365,0.00008936526,0.00057746336,0.52678406,0.4020412,0.017242245,0.013414824,0.0036445702],"about_ca_topic_score_codex":0.000022831018,"about_ca_topic_score_gemma":0.000007355287,"teacher_disagreement_score":0.63285685,"about_ca_system_score_codex":0.00013841476,"about_ca_system_score_gemma":0.0000041877934,"threshold_uncertainty_score":0.33911452},"labels":[],"label_agreement":null},{"id":"W1994534328","doi":"10.1109/twc.2013.111313.130645","title":"Joint Subchannel Assignment and Power Allocation for OFDMA Femtocell Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":260,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Macrocell; Femtocell; Geometric programming; Mathematical optimization; Computer science; Transmitter power output; Orthogonal frequency-division multiple access; Telecommunications link; Approximation algorithm; Throughput; Base station; Orthogonal frequency-division multiplexing; Mathematics; Computer network; Wireless; Telecommunications; Transmitter; Channel (broadcasting)","score_opus":0.02090657579690623,"score_gpt":0.23266705675645047,"score_spread":0.21176048095954425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994534328","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":[0.0020495972,0.00024575205,0.99543434,0.0004176173,0.00036177773,0.0006964498,0.000029301267,0.00035615842,0.00040898938],"genre_scores_gemma":[0.9865929,0.0011194388,0.010938712,0.00006077305,0.000027861171,0.0010173527,0.000029154296,0.000067309746,0.00014650829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991033,0.000071891875,0.0003366964,0.00019142858,0.00008617475,0.00021051896],"domain_scores_gemma":[0.9985849,0.00023499728,0.00006873327,0.0009201359,0.00010236404,0.000088843924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019050266,0.00018731995,0.00019978364,0.00012651214,0.00035883122,0.000043526816,0.00025242276,0.0001237482,0.000010745655],"category_scores_gemma":[0.000004461566,0.00021147821,0.000066951165,0.00017906913,0.00007076603,0.00018084579,0.0000034483407,0.00021873545,0.0000079268175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072282864,0.00008294907,0.000003756819,0.0000337358,0.000041404746,2.4682643e-8,0.00024322835,0.9785132,0.0031940732,0.0011437729,0.0001109647,0.016625691],"study_design_scores_gemma":[0.00046087196,0.000057473873,0.000033179025,0.000075789234,0.00004074313,0.000002099701,0.00010186808,0.99150413,0.0062983045,0.00012172935,0.0010775871,0.00022621747],"about_ca_topic_score_codex":0.000011418886,"about_ca_topic_score_gemma":0.00007068286,"teacher_disagreement_score":0.98454326,"about_ca_system_score_codex":0.00011059561,"about_ca_system_score_gemma":0.000010229851,"threshold_uncertainty_score":0.8623831},"labels":[],"label_agreement":null},{"id":"W1994561857","doi":"10.1109/medhocnet.2010.5546865","title":"On the capacity and scheduling of a multi-sector cell with co-channel interference knowledge","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Computer network; Channel capacity; Co-channel interference; Channel allocation schemes; Interference (communication); Space-division multiple access; Wireless; Channel (broadcasting); White spaces; Schedule; Handover; Telecommunications link; Cognitive radio; Electronic engineering; Telecommunications; Mathematical optimization; Engineering; Mathematics","score_opus":0.02270829837389312,"score_gpt":0.22748224258751237,"score_spread":0.20477394421361925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994561857","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":[0.48290992,0.000022672806,0.5127869,0.00000348034,0.00007806081,0.000117605494,0.0000027851809,0.000061434155,0.0040171156],"genre_scores_gemma":[0.98386866,0.0000038316703,0.01596838,0.0000040849973,0.000015112864,0.000010699578,6.4642813e-7,0.000016038526,0.000112576745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996964,0.000008683816,0.00009392123,0.00008668534,0.000030418942,0.00008392208],"domain_scores_gemma":[0.9996778,0.00008673069,0.000023763667,0.00014064218,0.000043182266,0.000027892074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006509478,0.000084602885,0.00008745305,0.000031606844,0.000025930485,0.000009084624,0.0000618605,0.00004035755,0.00002618338],"category_scores_gemma":[0.000026806292,0.000052229145,0.000009212518,0.00005808142,0.000041167346,0.000057375528,0.000009788039,0.00015503116,0.000008151975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034381712,0.000112353555,0.0008232103,0.00043630658,0.000041990184,8.463556e-7,0.0056279656,0.50967467,0.47720814,0.00551461,0.00007895993,0.00044656303],"study_design_scores_gemma":[0.00032982713,0.000048026384,0.00011666624,0.000065025335,0.0000041730823,0.0000027425774,0.00023895266,0.79818094,0.20084262,0.00004413922,0.000014395572,0.000112494774],"about_ca_topic_score_codex":0.000012978491,"about_ca_topic_score_gemma":0.00021050616,"teacher_disagreement_score":0.5009587,"about_ca_system_score_codex":0.000008768633,"about_ca_system_score_gemma":0.0000050145227,"threshold_uncertainty_score":0.21298428},"labels":[],"label_agreement":null},{"id":"W1994677081","doi":"10.1109/glocom.2013.6831371","title":"Analyzing the reduced required BS density due to CoMP in cellular networks","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Base station; Telecommunications link; Rayleigh fading; Computer science; Coverage probability; Path loss; Cellular network; Log-normal distribution; Probability density function; Topology (electrical circuits); Outage probability; Bandwidth (computing); Mathematical optimization; Algorithm; Mathematics; Computer network; Telecommunications; Fading; Statistics; Wireless; Combinatorics; Decoding methods","score_opus":0.014287012948181507,"score_gpt":0.22317040489079024,"score_spread":0.20888339194260874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994677081","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":[0.082165726,0.00049387355,0.91271675,0.0000971976,0.0011047528,0.0010347735,0.0000018554897,0.00040873062,0.001976336],"genre_scores_gemma":[0.98066175,0.00005961592,0.018411906,0.000032724223,0.00027173362,0.00013014716,0.000054692144,0.00007860543,0.00029882297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985283,0.0000863955,0.00052528176,0.00039392346,0.00010415958,0.00036192784],"domain_scores_gemma":[0.9988092,0.00007233559,0.00008594276,0.00084882014,0.00008925043,0.00009446211],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030657183,0.0003203384,0.00048066964,0.00016065683,0.000054603974,0.00009430698,0.00039000608,0.00032380852,0.000047890717],"category_scores_gemma":[0.00004501127,0.00027314946,0.00008255633,0.0003155679,0.000017962253,0.00009745877,0.00039260648,0.0006250791,0.00006750689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027123772,0.0000046695936,0.00010880919,0.000058305384,0.00003056733,0.000008565818,0.00023074045,0.9958869,0.0018150972,0.00012219393,0.0009162306,0.0008151987],"study_design_scores_gemma":[0.000108860135,0.000004028393,0.00041966778,0.0002110385,0.000015622607,0.000003370339,0.00006567847,0.996862,0.0015824618,0.00028057187,0.0000991365,0.00034754054],"about_ca_topic_score_codex":0.0003693922,"about_ca_topic_score_gemma":0.00024803943,"teacher_disagreement_score":0.89849603,"about_ca_system_score_codex":0.00029670584,"about_ca_system_score_gemma":0.000017730657,"threshold_uncertainty_score":0.99997205},"labels":[],"label_agreement":null},{"id":"W1994697122","doi":"10.1016/j.phycom.2014.04.010","title":"Spectral and energy efficiency analysis of uplink heterogeneous networks with small-cells on edge","year":2014,"lang":"en","type":"article","venue":"Physical Communication","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 Manitoba","funders":"","keywords":"Macrocell; Spectral efficiency; Femtocell; Computer science; Small cell; Path loss; Base station; Fading; Enhanced Data Rates for GSM Evolution; Stochastic geometry; Efficient energy use; Telecommunications link; Transmitter power output; Cellular network; Energy consumption; Moment-generating function; Power control; Computer network; Energy (signal processing); Topology (electrical circuits); Power (physics); Telecommunications; Wireless; Transmitter; Electrical engineering; Mathematics; Random variable; Physics","score_opus":0.008398889378938382,"score_gpt":0.20734333590892856,"score_spread":0.1989444465299902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994697122","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":[0.18818825,0.00012720448,0.8102505,0.000008457819,0.000014272246,0.00004576292,7.951849e-7,0.00007553326,0.0012892119],"genre_scores_gemma":[0.9959096,0.00008516109,0.0038939042,0.00001034543,0.00002501171,0.000011614389,0.000036154397,0.000018557812,0.000009663772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953485,0.000054883483,0.00013862977,0.00011044339,0.000056164565,0.00010503825],"domain_scores_gemma":[0.99919623,0.0001470301,0.000060816717,0.00052549894,0.00003527693,0.00003512301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056145782,0.00010088742,0.00021267877,0.000079855876,0.000042249787,0.000011332973,0.0001486566,0.000032246327,0.0000011460563],"category_scores_gemma":[0.000004953278,0.00009088233,0.000041459756,0.0003723009,0.000044461,0.000040690535,0.000027832744,0.00008248729,8.888148e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008130433,0.000044509772,0.00003761952,0.00000811587,0.00008660979,4.7003727e-8,0.000098459954,0.98991954,0.001988014,0.002594338,0.0000018335463,0.0052127987],"study_design_scores_gemma":[0.00012329477,0.00007714413,0.00018934954,0.000017745124,0.00012409907,2.9694246e-7,0.000004443231,0.9924179,0.0068237865,0.00008370856,0.000043301767,0.00009494782],"about_ca_topic_score_codex":0.000020339776,"about_ca_topic_score_gemma":0.000036918173,"teacher_disagreement_score":0.8077213,"about_ca_system_score_codex":0.000025076597,"about_ca_system_score_gemma":0.0000018391233,"threshold_uncertainty_score":0.37060738},"labels":[],"label_agreement":null},{"id":"W1994697727","doi":"10.1109/ciss.2010.5464944","title":"Energy optimization across training and data for multiuser minimum sum-MSE linear precoding","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Precoding; Transceiver; Rayleigh fading; Computer science; Channel (broadcasting); Energy (signal processing); Minimum mean square error; Mathematical optimization; Block (permutation group theory); Channel state information; Mean squared error; Algorithm; Fading; Mathematics; Telecommunications; Statistics; Wireless; MIMO","score_opus":0.03847977658709492,"score_gpt":0.29714631994340934,"score_spread":0.25866654335631445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994697727","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":[0.006315239,0.000053087217,0.9919978,0.000019033443,0.00054724904,0.00020553799,0.00009470258,0.00034584026,0.00042152626],"genre_scores_gemma":[0.44207945,0.00004356533,0.5567476,0.00002014867,0.0002443231,0.000037905716,0.0003669633,0.000065123415,0.0003948824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918735,0.0000067345954,0.00023248166,0.00027328316,0.00005291349,0.00024725572],"domain_scores_gemma":[0.9993178,0.000107345695,0.00003846803,0.00041138535,0.00005513899,0.000069863236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018608489,0.00013887459,0.0001526372,0.000040299212,0.000096763244,0.000056103407,0.00017203939,0.00012017233,0.000021771284],"category_scores_gemma":[0.00012333132,0.00014215478,0.000015877304,0.0000839381,0.00002221585,0.0006198694,0.0000734116,0.00008526068,0.0000011139216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005549631,0.000006361205,0.00004721639,0.000046125147,0.000016864711,3.367379e-7,0.0005900625,0.97986305,0.006679058,0.00014255595,0.00022624942,0.012376553],"study_design_scores_gemma":[0.0004973692,0.000009799747,0.000004478217,0.0000148310755,0.000007720002,0.000005526668,0.00026371956,0.9910765,0.0022311688,0.0000113440765,0.005702221,0.0001752964],"about_ca_topic_score_codex":0.000013332393,"about_ca_topic_score_gemma":0.00023946006,"teacher_disagreement_score":0.43576422,"about_ca_system_score_codex":0.000012112941,"about_ca_system_score_gemma":0.0000087611315,"threshold_uncertainty_score":0.57969034},"labels":[],"label_agreement":null},{"id":"W1995027845","doi":"10.1109/wcnc.2007.225","title":"Influence of CSI Feedback Delay on Capacity of Linear Multi-User MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; MIMO; Channel (broadcasting); Transmitter; Channel state information; Multiplexing; Base station; Throughput; Telecommunications link; Quantization (signal processing); Vector quantization; Precoding; Coherence (philosophical gambling strategy); Multi-user MIMO; Real-time computing; Algorithm; Computer network; Telecommunications; Wireless; Mathematics","score_opus":0.0149583450422866,"score_gpt":0.23682751559398796,"score_spread":0.22186917055170136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995027845","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":[0.5544335,0.000050229068,0.44405684,9.221573e-7,0.00010521365,0.00018792774,0.0000076123915,0.000102136015,0.0010555671],"genre_scores_gemma":[0.9714185,0.000010685055,0.02815988,0.0000059662825,0.000031324496,0.0000047389285,0.000002752893,0.000029754332,0.00033639988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990382,0.00001431727,0.0005023126,0.00012286335,0.00013987008,0.00018243602],"domain_scores_gemma":[0.99930817,0.00008021397,0.0001005478,0.00027585594,0.00017895582,0.000056228135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022550911,0.00013256783,0.00024125,0.00011117323,0.000016427866,0.0000033666984,0.000111362635,0.00011029805,0.0000060707216],"category_scores_gemma":[0.000064609456,0.00012361765,0.000037387977,0.00021829546,0.000033840515,0.0001473523,0.000012829182,0.00009528936,0.000022619013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008425262,0.000024537827,0.00095658907,0.00023894347,0.00001887248,0.0000010012936,0.0001646995,0.9542761,0.043188635,0.0010505264,0.00002246767,0.00004921839],"study_design_scores_gemma":[0.0009992127,0.00012882115,0.005467843,0.0005359693,0.000022666754,0.0000126018485,0.00038704477,0.50949067,0.4817611,0.000010364385,0.0007337278,0.0004499613],"about_ca_topic_score_codex":0.00018820277,"about_ca_topic_score_gemma":0.00005727067,"teacher_disagreement_score":0.4447854,"about_ca_system_score_codex":0.000062570005,"about_ca_system_score_gemma":0.0000063415546,"threshold_uncertainty_score":0.5040981},"labels":[],"label_agreement":null},{"id":"W1995440699","doi":"10.1145/1815396.1815630","title":"Packet level scheduling schemes for multi-user MIMO systems with beamforming","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Scheduling (production processes); Network packet; Telecommunications link; MIMO; Beamforming; Computer network; Bit error rate; Transmission delay; Network scheduler; Processing delay; Real-time computing; Round-robin scheduling; Fair-share scheduling; Telecommunications; Engineering; Quality of service","score_opus":0.030483669974015453,"score_gpt":0.2577897738828506,"score_spread":0.22730610390883518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995440699","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":[0.026891412,0.00009441062,0.97051597,0.000007666633,0.00066561194,0.0006557983,0.000018003204,0.000596109,0.00055502745],"genre_scores_gemma":[0.40894654,0.0000032160137,0.58916396,0.0000068084055,0.00013655446,0.00013633109,0.000017297365,0.00007188789,0.0015174019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915624,0.000004191656,0.0002504438,0.0001937734,0.00009227452,0.00030309506],"domain_scores_gemma":[0.9994389,0.000047229983,0.000048808513,0.000257195,0.0001269377,0.000080923994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013239284,0.00019376082,0.00020432241,0.00008316385,0.00008797203,0.000060888462,0.000113596594,0.00012168185,0.000011257455],"category_scores_gemma":[0.000051375097,0.0001609799,0.000035218105,0.00012157278,0.000020062269,0.00040353418,0.00001429717,0.00016496364,0.000015704005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014004451,0.000022403854,0.00094334874,0.0005024824,0.000082092076,0.0000014053883,0.00019539242,0.93633217,0.05173978,0.008274195,0.00015474002,0.0017380018],"study_design_scores_gemma":[0.00094828446,0.00002215629,0.000020394249,0.00010026926,0.000016288495,0.000019201223,0.00056945544,0.9660529,0.020595893,0.0000063867924,0.011310863,0.00033790723],"about_ca_topic_score_codex":0.000019007502,"about_ca_topic_score_gemma":0.00016149764,"teacher_disagreement_score":0.3820551,"about_ca_system_score_codex":0.000035610006,"about_ca_system_score_gemma":0.000017381315,"threshold_uncertainty_score":0.65645695},"labels":[],"label_agreement":null},{"id":"W1996618820","doi":"10.1109/icc.2012.6364427","title":"Hierarchical resource allocation in femtocell networks using graph algorithms","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Computer science; Resource allocation; Distributed computing; Computer network; Interference (communication); Resource management (computing); Load balancing (electrical power); Graph; Channel allocation schemes; Channel (broadcasting); Wireless; Theoretical computer science; Mathematics; Telecommunications","score_opus":0.016012814672472515,"score_gpt":0.2353899006460718,"score_spread":0.21937708597359928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996618820","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":[0.013564792,0.00047538083,0.9810328,0.000009133845,0.00021778983,0.0001768732,3.9820816e-7,0.00023009969,0.004292728],"genre_scores_gemma":[0.94063526,0.000020629288,0.058924656,0.000024781231,0.0002384057,0.000012666561,0.0000147585115,0.00003743492,0.0000913861],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928474,0.000029509203,0.000212686,0.00009844981,0.00007169783,0.00030292541],"domain_scores_gemma":[0.99971324,0.00003345588,0.000019716097,0.00014384622,0.000012916025,0.00007680276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017272774,0.00010578701,0.00010894102,0.00011908892,0.000026829337,0.000012186653,0.00006164539,0.0000972492,0.000018437959],"category_scores_gemma":[0.0000099864665,0.000110428664,0.000022148184,0.00032755506,0.0000139042695,0.00025555544,0.000016338936,0.00015037891,0.0000085147385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018014517,0.00001158863,0.0016626435,0.00001080408,0.00000375947,4.272098e-7,0.00013200115,0.9949403,0.00041121748,0.00037588613,0.00008216495,0.0023673978],"study_design_scores_gemma":[0.00016003569,0.0000038097794,0.0005301848,0.000020175657,0.0000033689419,0.0000061400638,0.00006101434,0.99804944,0.00035320647,0.00004302832,0.0006339696,0.00013564102],"about_ca_topic_score_codex":0.000021543394,"about_ca_topic_score_gemma":0.0000104764995,"teacher_disagreement_score":0.9270705,"about_ca_system_score_codex":0.000094941686,"about_ca_system_score_gemma":0.0000034420182,"threshold_uncertainty_score":0.45031503},"labels":[],"label_agreement":null},{"id":"W1996782258","doi":"10.1109/wcsp.2012.6542890","title":"Enhanced multiuser scheduling using modified SLNR metric with outdated partial CSI","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Channel state information; Scheduling (production processes); MIMO; Control theory (sociology); Quantization (signal processing); Round-robin scheduling; Beamforming; Algorithm; Mathematical optimization; Fair-share scheduling; Mathematics; Telecommunications; Wireless; Quality of service; Artificial intelligence","score_opus":0.024663731657941418,"score_gpt":0.2526720260312383,"score_spread":0.22800829437329687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996782258","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":[0.2171645,0.00014885311,0.77986014,0.0000017974636,0.00030439696,0.00020730031,0.0000016212636,0.0005451217,0.0017662898],"genre_scores_gemma":[0.84002805,0.000005691806,0.15958135,0.000009544637,0.00015789231,0.000016956688,0.000009079316,0.000063927815,0.00012752452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901354,0.000020427831,0.00024995708,0.000153939,0.00013317248,0.00042893927],"domain_scores_gemma":[0.999499,0.000032365213,0.000049133927,0.00022318131,0.000071741444,0.00012456752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011366897,0.00019124363,0.00020259987,0.00017508975,0.000060194507,0.000027561471,0.00007742094,0.00009182453,0.0000642726],"category_scores_gemma":[0.000040544423,0.00016466014,0.000027843764,0.0005936852,0.000014498609,0.0006873388,0.000019186988,0.00011502609,0.000041079056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010641407,0.000015991525,0.0002638757,0.000027554153,0.00003568696,4.912951e-7,0.00019183227,0.9506701,0.048242517,0.00013361336,0.000004745799,0.00040292912],"study_design_scores_gemma":[0.00051724474,0.000009260798,0.000050523813,0.00002524355,0.000022064442,0.000004089455,0.00012896577,0.83791167,0.1610387,0.0000018967405,0.000051854568,0.00023845874],"about_ca_topic_score_codex":0.000027990523,"about_ca_topic_score_gemma":0.0000067633932,"teacher_disagreement_score":0.62286353,"about_ca_system_score_codex":0.00009223198,"about_ca_system_score_gemma":0.000009900355,"threshold_uncertainty_score":0.67146456},"labels":[],"label_agreement":null},{"id":"W1996911166","doi":"10.1002/ett.2577","title":"Location‐assisted clustering and scheduling for coordinated homogeneous and heterogeneous cellular networks","year":2012,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Base station; Heterogeneous network; Computer science; MIMO; Channel state information; Cellular network; Computer network; Telecommunications link; Scheduling (production processes); Homogeneous; Precoding; Transmission (telecommunications); Transmitter; Spectral efficiency; Real-time computing; Wireless network; Wireless; Channel (broadcasting); Telecommunications; Mathematical optimization; Mathematics","score_opus":0.015888045664163134,"score_gpt":0.24074742258864593,"score_spread":0.2248593769244828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996911166","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":[0.00957516,0.01408349,0.9729707,0.00021663061,0.00013686066,0.000507741,0.0000072285256,0.0024542501,0.000047890877],"genre_scores_gemma":[0.84751976,0.0028565088,0.1491287,0.000007116352,0.000010998322,0.0003835709,0.000017815124,0.000055403183,0.000020132995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990886,0.000027628952,0.00031074617,0.0001827151,0.00004811469,0.0003422099],"domain_scores_gemma":[0.99899536,0.00017000028,0.00006416713,0.0006385625,0.000082912156,0.000048984155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014743333,0.00021628327,0.00020364892,0.0003043937,0.0005513584,0.00004387837,0.00022856795,0.00019567557,0.000002908707],"category_scores_gemma":[0.00003579673,0.00024801327,0.00003687331,0.0004681495,0.000119276134,0.00024129894,0.000022059026,0.00026897018,0.0000018450552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005280726,0.000034948658,0.000034083663,0.00007322779,0.00006100344,1.2977722e-7,0.00013286524,0.9180868,0.0016002165,0.00009487266,0.00000448181,0.07987206],"study_design_scores_gemma":[0.00030620553,0.000037318292,0.000029388033,0.00009586865,0.0000637876,0.00004444252,0.0007681227,0.9888249,0.008803466,0.00008107647,0.0006338861,0.00031152045],"about_ca_topic_score_codex":0.0000064657315,"about_ca_topic_score_gemma":0.000024020996,"teacher_disagreement_score":0.83794457,"about_ca_system_score_codex":0.0000878291,"about_ca_system_score_gemma":0.0000061464166,"threshold_uncertainty_score":0.9999972},"labels":[],"label_agreement":null},{"id":"W1996986266","doi":"10.1109/vtcfall.2012.6399094","title":"Direction of Arrival Estimation for MIMO Systems Employing Constellation-Based Precoding","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Defence Research and Development Canada; Communications Research Centre Canada","funders":"Defence Research and Development Canada","keywords":"Precoding; Constellation; MIMO; Direction of arrival; Computer science; Zero-forcing precoding; Communications system; Control theory (sociology); Algorithm; Electronic engineering; Telecommunications; Engineering; Beamforming; Artificial intelligence; Antenna (radio)","score_opus":0.019860712345869214,"score_gpt":0.24956944712505444,"score_spread":0.22970873477918521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996986266","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":[0.013519234,0.00022987486,0.9801585,0.0000027851966,0.0010713255,0.0005786564,0.000006976784,0.0003603909,0.0040722736],"genre_scores_gemma":[0.9459369,0.0000026491907,0.053810343,0.0000016977108,0.0001054431,0.00003930319,0.000026484113,0.000029997254,0.00004714992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936604,0.000016565373,0.00030860666,0.00007595596,0.000072743176,0.00016010177],"domain_scores_gemma":[0.9995145,0.00018261987,0.0000842858,0.00010624201,0.00007138065,0.00004093937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001908354,0.00009534996,0.00014769897,0.00010484338,0.000044827826,0.000014109649,0.00003115927,0.000062296276,0.000010673041],"category_scores_gemma":[0.00005297384,0.00010066441,0.000036567893,0.00011700562,0.000009562739,0.00033548352,0.000003021013,0.00002949029,0.0000039965043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004052335,0.0000071599634,0.0022080608,0.000323415,0.000012745055,9.35021e-9,0.00007492459,0.9888253,0.0063197482,0.00048370537,0.000067493835,0.0016733727],"study_design_scores_gemma":[0.00023626746,0.00001076598,0.00011527366,0.00008814881,0.000016141199,0.0000014261299,0.00006306597,0.9791697,0.020013671,0.00001159336,0.00016835086,0.00010555677],"about_ca_topic_score_codex":0.0000108758295,"about_ca_topic_score_gemma":0.0000011724284,"teacher_disagreement_score":0.9324177,"about_ca_system_score_codex":0.00009414126,"about_ca_system_score_gemma":0.000008212043,"threshold_uncertainty_score":0.41049755},"labels":[],"label_agreement":null},{"id":"W1997071749","doi":"10.1109/tvt.2015.2394742","title":"Vector Perturbation Precoding Under Quantized CSI","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Zero-forcing precoding; Control theory (sociology); Perturbation (astronomy); Computer science; Physics; Electronic engineering; Mathematics; Topology (electrical circuits); MIMO; Telecommunications; Engineering; Electrical engineering; Quantum mechanics; Artificial intelligence; Beamforming","score_opus":0.020395747064510354,"score_gpt":0.23437008194255232,"score_spread":0.21397433487804196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997071749","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028538981,0.00021979302,0.9672116,0.0003336865,0.00094445597,0.000293303,0.000006038022,0.002061715,0.00039043647],"genre_scores_gemma":[0.9897712,0.000046183723,0.009665286,0.000029535082,0.000030751264,0.0001190974,0.0000050434114,0.000060391714,0.00027251695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991009,0.000028804145,0.00026553124,0.0002289277,0.00013184849,0.00024397484],"domain_scores_gemma":[0.99942344,0.00003290081,0.000041212345,0.00033565494,0.00009876109,0.00006802557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103116305,0.0001848586,0.00021136693,0.00043615137,0.00008015192,0.000018239658,0.00013678121,0.00032759682,0.000020575077],"category_scores_gemma":[0.000015646561,0.00019780704,0.0000595586,0.0005676692,0.000047124326,0.00019014748,9.097326e-7,0.0003085435,0.00012723565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000110155925,0.00003100064,0.0000039304605,0.000016461216,0.000046960427,0.000003468315,0.00007831791,0.9756622,0.019643957,0.0009149563,0.00007808044,0.0035096852],"study_design_scores_gemma":[0.0014996107,0.00017570349,0.000008712301,0.000082543804,0.00006541658,0.00008156528,0.00054211036,0.6910593,0.30173627,0.002384622,0.0018586821,0.000505473],"about_ca_topic_score_codex":0.000004222753,"about_ca_topic_score_gemma":0.000018035109,"teacher_disagreement_score":0.9612322,"about_ca_system_score_codex":0.0002732131,"about_ca_system_score_gemma":0.00002328838,"threshold_uncertainty_score":0.8066337},"labels":[],"label_agreement":null},{"id":"W1997260775","doi":"10.1109/ciss.2010.5464829","title":"High resolution channel quantization rules for multiuser spatial multiplexing systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Quantization (signal processing); Telecommunications link; Computer science; Vector quantization; Algorithm; Channel (broadcasting); Linde–Buzo–Gray algorithm; Precoding; MIMO; Mathematics; Control theory (sociology); Topology (electrical circuits); Mathematical optimization; Telecommunications; Combinatorics; Artificial intelligence","score_opus":0.013427851075058674,"score_gpt":0.226776149509342,"score_spread":0.21334829843428332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997260775","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":[0.015779043,0.00004929023,0.97901744,0.000016639278,0.0032311068,0.00082531344,0.000046306315,0.00083049055,0.00020436663],"genre_scores_gemma":[0.91715556,0.000008623196,0.08162902,0.0000049306686,0.0005571093,0.000177737,0.00024777118,0.00006772903,0.00015152554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991347,0.000013479199,0.00032259576,0.0001915931,0.000095805386,0.00024179296],"domain_scores_gemma":[0.9994663,0.00006942218,0.000062473664,0.00020897505,0.00013828007,0.0000545506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015448933,0.00015865895,0.00016914592,0.00011507499,0.00010487251,0.00005225942,0.00008588242,0.00016426778,0.000011165349],"category_scores_gemma":[0.0001134516,0.00016023435,0.000038976763,0.000090465874,0.00001521636,0.00031200948,0.000012793029,0.000107871,0.0000290147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000095336045,0.000009564755,0.00003775214,0.000112555404,0.000011966419,2.0995276e-7,0.00008129795,0.9483645,0.04144402,0.00918598,0.0001726751,0.00056992116],"study_design_scores_gemma":[0.0004612196,0.000014725518,0.0001242983,0.0000314133,0.0000074488166,0.000002839976,0.00007244816,0.9895564,0.008725356,0.00014770984,0.0006554852,0.00020069927],"about_ca_topic_score_codex":0.0004217708,"about_ca_topic_score_gemma":0.00051813,"teacher_disagreement_score":0.9013765,"about_ca_system_score_codex":0.00005051346,"about_ca_system_score_gemma":0.0000070952588,"threshold_uncertainty_score":0.65341675},"labels":[],"label_agreement":null},{"id":"W1997688584","doi":"10.1109/aps.2014.6904364","title":"Optimal configuration of distributed MIMO antennas in underground tunnels","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Fading; Computer science; Antenna (radio); Separation (statistics); Genetic algorithm; 3G MIMO; Path loss; Path (computing); Electronic engineering; Control theory (sociology); Mathematical optimization; Telecommunications; Computer network; Engineering; Wireless; Mathematics; Decoding methods","score_opus":0.009296315691520517,"score_gpt":0.21819887267607482,"score_spread":0.20890255698455432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997688584","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":[0.030046958,0.000026883403,0.9657781,0.000018686378,0.00010655788,0.000121200086,0.0000060074017,0.00012099097,0.00377463],"genre_scores_gemma":[0.9930465,0.000008663068,0.006734652,0.000005267177,0.000022292645,0.000007776981,0.000062390434,0.000015144288,0.00009729376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945873,0.000018667813,0.00025701584,0.0000889762,0.00005771698,0.000118916294],"domain_scores_gemma":[0.99972963,0.000045751545,0.000033891316,0.00012316034,0.000042241052,0.000025295909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087847584,0.00008288305,0.0001431041,0.00006455238,0.0000099770505,0.000009310665,0.000052817813,0.00005577542,0.00003869068],"category_scores_gemma":[0.00004220663,0.000083923536,0.000018333933,0.00016477039,0.00002013092,0.00018218029,0.0000064846545,0.00004843764,0.000011264775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038900525,0.000009223517,0.00024560798,0.000036805086,0.0000056799004,3.7728378e-7,0.00005401737,0.9774765,0.017244473,0.0045371004,0.00008108246,0.00030524936],"study_design_scores_gemma":[0.00047159015,0.000025596672,0.0011968345,0.00003999731,0.0000036443173,0.0000023342945,0.00014200162,0.9755451,0.02200683,0.0002102841,0.00022814971,0.0001276143],"about_ca_topic_score_codex":0.000021495847,"about_ca_topic_score_gemma":0.000033975994,"teacher_disagreement_score":0.9629996,"about_ca_system_score_codex":0.000050984007,"about_ca_system_score_gemma":0.000004929423,"threshold_uncertainty_score":0.34223026},"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":"W1998603051","doi":"10.1109/glocom.2006.823","title":"WLC36-1: On the Optimality of Beamforming in MIMO Fading Ad-Hoc Networks","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Channel state information; Transmitter; MIMO; Rayleigh fading; Beamforming; Fading; Wireless ad hoc network; Computer science; Interference (communication); Channel (broadcasting); Channel capacity; Multi-user MIMO; Computer network; Telecommunications; Wireless","score_opus":0.007976712373596593,"score_gpt":0.20610684025193954,"score_spread":0.19813012787834294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998603051","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":[0.29798937,0.002215334,0.67597765,0.00009006835,0.00059829163,0.0005374045,0.000012968967,0.00029758178,0.022281315],"genre_scores_gemma":[0.99394846,0.000051380666,0.0058049294,0.000017671628,0.000068482404,0.000017022181,0.000010315094,0.000024368412,0.00005734363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924463,0.000023640709,0.00031188445,0.00011709699,0.00008257189,0.00022017614],"domain_scores_gemma":[0.9995827,0.000091484464,0.000058847323,0.0002288591,0.000019558025,0.000018514562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019740751,0.00011969441,0.00016433641,0.000055415305,0.00003712305,0.00001269676,0.00012876978,0.000069751906,0.000020156627],"category_scores_gemma":[0.000019211579,0.00010187877,0.000040818562,0.00024292359,0.000018921653,0.000111088244,0.000022121929,0.00013909582,0.000007717952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048649645,0.0000105265135,0.0007759571,0.00001953281,0.0000047431126,0.0000013145058,0.0000549968,0.9956818,0.00022356371,0.0010311253,0.0002803471,0.0019111951],"study_design_scores_gemma":[0.00035272693,0.000024464583,0.0024871884,0.00018224702,0.0000067382844,0.0000034987572,0.00014769964,0.9918951,0.0015668073,0.0004525443,0.0026636936,0.00021732859],"about_ca_topic_score_codex":0.00005582787,"about_ca_topic_score_gemma":0.00015353641,"teacher_disagreement_score":0.6959591,"about_ca_system_score_codex":0.00012301479,"about_ca_system_score_gemma":0.0000050630533,"threshold_uncertainty_score":0.41544956},"labels":[],"label_agreement":null},{"id":"W1998704404","doi":"10.1109/mwc.2013.6507398","title":"Deploying cognitive cellular networks under dynamic resource management","year":2013,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Macrocell; Computer science; Cellular network; Computer network; Cognitive radio; Radio resource management; Exploit; Small cell; Wireless network; Resource management (computing); Wireless; Spectral efficiency; Channel (broadcasting); Telecommunications; Computer security; Base station","score_opus":0.013008848421429214,"score_gpt":0.232001308338693,"score_spread":0.2189924599172638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998704404","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":[0.011010893,0.0012224189,0.9743949,0.0000997779,0.00013580619,0.00066920865,0.0000045237825,0.0006873566,0.011775118],"genre_scores_gemma":[0.98706794,0.00076196407,0.011057322,0.00006591296,0.000022651406,0.00046584994,0.00010347948,0.00008577561,0.0003690793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991101,0.000082475046,0.00029309344,0.00015946856,0.000092091905,0.0002627494],"domain_scores_gemma":[0.99850506,0.0001561718,0.0000614792,0.0011269886,0.000078627905,0.000071681105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007902095,0.00016951497,0.00015456909,0.00010329595,0.00024173521,0.00006366183,0.00055776275,0.00008608007,0.000021961025],"category_scores_gemma":[0.000003297167,0.00019835611,0.000045250104,0.0003093435,0.00008110882,0.00024238118,0.00012777306,0.00025599133,0.00016718624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010948872,0.00003294444,0.00003626515,0.000036905272,0.00009488236,9.0132227e-7,0.00019532346,0.9800565,0.0015436914,0.0015416417,0.0003344723,0.016125338],"study_design_scores_gemma":[0.00024512547,0.0000045113916,0.00027612102,0.00015509625,0.00003486307,0.00000244779,0.0011240287,0.9970181,0.00024402258,0.0002088696,0.00045341993,0.00023338484],"about_ca_topic_score_codex":0.000019024417,"about_ca_topic_score_gemma":0.00003801344,"teacher_disagreement_score":0.97605705,"about_ca_system_score_codex":0.00013802185,"about_ca_system_score_gemma":0.0000043977543,"threshold_uncertainty_score":0.80887276},"labels":[],"label_agreement":null},{"id":"W1999210718","doi":"10.1109/vetecs.2010.5493638","title":"A Cumulant-Based Characterization of the Aggregate Interference Power in Wireless Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fading; Aggregate (composite); Interference (communication); Computer science; Wireless network; Wireless; Cumulant; Cognitive radio; Shadow mapping; Wireless sensor network; Electronic engineering; Computer network; Telecommunications; Mathematics; Engineering; Statistics; Artificial intelligence; Channel (broadcasting)","score_opus":0.004826300315662213,"score_gpt":0.1952389288142476,"score_spread":0.19041262849858537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999210718","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":[0.511372,0.0000020141833,0.48774698,0.00001099414,0.00035829257,0.00010420857,0.0000015861556,0.00005033635,0.00035354818],"genre_scores_gemma":[0.999227,0.0000036970641,0.0006480156,0.000017990176,0.00001622215,0.000011555123,0.000009124691,0.00001667755,0.000049719296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958205,0.0000131906145,0.00018492904,0.00007546218,0.00004363884,0.000100718455],"domain_scores_gemma":[0.99969053,0.000016931761,0.00004860922,0.0001969593,0.00003107302,0.000015888298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055310746,0.00007509645,0.00009472343,0.00004384834,0.000010688848,0.0000082569595,0.000117853124,0.0000660874,0.000038469658],"category_scores_gemma":[0.00001147511,0.000056510053,0.000019567731,0.00019304638,0.000018955003,0.00009675464,0.000014861632,0.00014401291,0.0000023346734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007236938,0.0000121732155,0.0068546347,0.000024302202,0.0000034244067,4.3569864e-7,0.00009633696,0.5259545,0.4651717,0.0004730061,0.000004555445,0.0013977119],"study_design_scores_gemma":[0.00017809092,0.0000047362487,0.004646187,0.00007846536,0.0000013521063,0.0000012045713,0.0000068487743,0.95092833,0.044056773,0.000006919834,0.000020254258,0.00007083419],"about_ca_topic_score_codex":0.000009545576,"about_ca_topic_score_gemma":0.0001339168,"teacher_disagreement_score":0.487855,"about_ca_system_score_codex":0.000014655795,"about_ca_system_score_gemma":0.000007752491,"threshold_uncertainty_score":0.23044132},"labels":[],"label_agreement":null},{"id":"W2000012073","doi":"10.1049/iet-com:20080110","title":"Performance of zero-forcing detectors over MIMO flat-correlated Ricean fading channels","year":2009,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; MIMO; Channel (broadcasting); Bit error rate; Mathematics; Channel capacity; Computer science; Algorithm; Topology (electrical circuits); Telecommunications; Control theory (sociology)","score_opus":0.01454143419379784,"score_gpt":0.238419054596575,"score_spread":0.22387762040277717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000012073","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":[0.8310345,0.0013847617,0.14860742,0.00008398967,0.00043392743,0.00050509884,0.000011573488,0.00081117253,0.017127573],"genre_scores_gemma":[0.9889466,0.00045435125,0.010399207,0.000014466372,0.000020295995,0.000014862067,0.00003248181,0.000029957779,0.000087762826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992224,0.000031958272,0.00036550616,0.00010154386,0.000085903775,0.0001926692],"domain_scores_gemma":[0.9986304,0.000083788844,0.00010076855,0.0010627457,0.00007467014,0.000047593756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011854145,0.00013674432,0.00017987746,0.00014831805,0.00015289169,0.000015500367,0.00047767046,0.00008812702,0.000010568744],"category_scores_gemma":[0.00003133709,0.0001557644,0.000049243285,0.00046397714,0.000035302757,0.00033392815,0.00005485582,0.00021696487,0.000017810424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040610003,0.000019416211,0.0013370621,0.00003829539,0.00003012876,1.9722472e-7,0.0013334927,0.96393675,0.02818232,0.0003164976,0.00014402786,0.0046577463],"study_design_scores_gemma":[0.0002522589,0.000040274695,0.002733854,0.000177152,0.000022302089,0.000004399631,0.000057128887,0.98694783,0.0089833485,0.00009042285,0.00049013185,0.00020091052],"about_ca_topic_score_codex":0.000015218576,"about_ca_topic_score_gemma":0.0000089783,"teacher_disagreement_score":0.15791214,"about_ca_system_score_codex":0.00009480609,"about_ca_system_score_gemma":0.000009850229,"threshold_uncertainty_score":0.63518876},"labels":[],"label_agreement":null},{"id":"W2000029133","doi":"10.1109/icassp.2013.6638578","title":"A balanced precoding scheme for the two-user SISO X channel with optimal DoF and a small power offset","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Interference alignment; Precoding; Offset (computer science); Control theory (sociology); Zero-forcing precoding; Computer science; Channel (broadcasting); Algorithm; Topology (electrical circuits); Mathematics; Telecommunications; MIMO; Combinatorics","score_opus":0.009021197767282012,"score_gpt":0.20163732208121973,"score_spread":0.1926161243139377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000029133","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":[0.049906384,0.00016663452,0.9468477,0.00012651835,0.00009658078,0.0010267025,0.0000053735876,0.00023447297,0.0015896502],"genre_scores_gemma":[0.8627048,0.00001723359,0.13573067,0.00005009492,0.000049664057,0.00044233946,0.0000061442556,0.00004549004,0.000953584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994439,0.000005550712,0.00013618279,0.00015083494,0.000048652575,0.00021490354],"domain_scores_gemma":[0.9995971,0.00008859038,0.000029080034,0.00016969546,0.000069110705,0.000046459507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006723307,0.00013668597,0.00013079045,0.00003307347,0.00006560607,0.000056335983,0.00007766805,0.000041184747,0.000050490486],"category_scores_gemma":[0.00001689176,0.00008683668,0.00002053187,0.00008195191,0.000019047411,0.00023336273,0.000021605376,0.00006249005,0.000010474788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034277407,0.000013605052,0.00042907413,0.000103126906,0.00011157108,4.302386e-7,0.00069929723,0.9894203,0.0058458215,0.00071639684,0.0017045288,0.000921594],"study_design_scores_gemma":[0.0009520939,0.000051373296,0.00023045379,0.000044513123,0.0000117593045,0.000009026299,0.0004271581,0.9955414,0.0017224158,0.000028503118,0.0007923825,0.00018894576],"about_ca_topic_score_codex":0.000023065424,"about_ca_topic_score_gemma":0.00003453141,"teacher_disagreement_score":0.8127984,"about_ca_system_score_codex":0.000023265127,"about_ca_system_score_gemma":0.0000052334167,"threshold_uncertainty_score":0.3541097},"labels":[],"label_agreement":null},{"id":"W2000052063","doi":"10.1109/vtcfall.2012.6399356","title":"Step-Wise Optimal Low Power Node Deployment in LTE Heterogeneous Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Software deployment; Computer science; Macro; Node (physics); Throughput; Computer network; Power (physics); Scheme (mathematics); Distributed computing; Wireless; Engineering; Telecommunications; Mathematics","score_opus":0.006549084728998513,"score_gpt":0.211023431613216,"score_spread":0.20447434688421748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000052063","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":[0.07130158,0.0010020069,0.92396516,0.0000065074432,0.00061808736,0.00024942018,0.0000015054203,0.00037668814,0.002479028],"genre_scores_gemma":[0.9751169,0.000053214455,0.024371633,0.000048892027,0.00010352689,0.000040494462,0.000007208755,0.00006644766,0.00019169175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907535,0.000017877026,0.00025079452,0.00012586801,0.0000844375,0.00044564495],"domain_scores_gemma":[0.9996071,0.000020378771,0.000022803466,0.00022125142,0.000016111864,0.00011235799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009190176,0.000163796,0.00015742474,0.000070710266,0.000018640261,0.00001641832,0.00008251996,0.00009156251,0.00012966043],"category_scores_gemma":[0.0000058238993,0.00016411231,0.000035807814,0.00013206103,0.000008896499,0.00026198977,0.000031966938,0.00010873055,0.00007781121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053087447,0.000028031372,0.0024238739,0.00001235597,0.0000123727295,0.00000476259,0.00009721469,0.99633944,0.00020325014,0.000040841143,0.00027940364,0.00055315916],"study_design_scores_gemma":[0.00039069448,0.00001397154,0.00032801696,0.000033322416,0.000005049821,0.000017927698,0.00003765461,0.99639493,0.0016202932,0.0000011800688,0.0009010157,0.00025596484],"about_ca_topic_score_codex":0.0000130448,"about_ca_topic_score_gemma":0.000026153557,"teacher_disagreement_score":0.9038153,"about_ca_system_score_codex":0.00015229436,"about_ca_system_score_gemma":0.00000337613,"threshold_uncertainty_score":0.6692306},"labels":[],"label_agreement":null},{"id":"W2000190285","doi":"10.1155/2009/567416","title":"Optimization Techniques in Wireless Communications","year":2009,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","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":"University of Alberta","funders":"","keywords":"Computer science; Wireless; Computer network; Telecommunications","score_opus":0.024959035255863408,"score_gpt":0.2744046385392549,"score_spread":0.2494456032833915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000190285","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":[0.019698082,0.017385041,0.93184525,0.003548292,0.0005400106,0.0009874585,0.000007673916,0.0010546845,0.0249335],"genre_scores_gemma":[0.8996984,0.05732771,0.04259687,0.00014056911,0.00012720763,0.000024717372,0.000028937111,0.000039928535,0.000015668887],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986204,0.00022490931,0.0006092837,0.00014310674,0.00012660451,0.00027569456],"domain_scores_gemma":[0.9981663,0.0002216842,0.00018760916,0.0012264637,0.00009787095,0.00010007835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004734051,0.00021218139,0.0002727021,0.00031030085,0.0004931743,0.00015393915,0.00084447564,0.00011972011,0.000003735217],"category_scores_gemma":[0.0000097346,0.0002254377,0.00004787603,0.0005634204,0.00008886862,0.000401155,0.00010874058,0.0007786754,0.0000022810195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000192368,0.00017341023,0.001368077,0.00001810304,0.000032380252,0.000006492254,0.0007228157,0.4323066,0.000988426,0.006461412,0.00019569727,0.55770737],"study_design_scores_gemma":[0.00034064788,0.00007601826,0.00030748945,0.0006685496,0.000012823182,0.00008558786,0.00011426617,0.9919685,0.0001453828,0.000440019,0.005540357,0.00030032036],"about_ca_topic_score_codex":0.0000034143804,"about_ca_topic_score_gemma":0.000028735734,"teacher_disagreement_score":0.8892484,"about_ca_system_score_codex":0.00017501473,"about_ca_system_score_gemma":0.00001848694,"threshold_uncertainty_score":0.91930825},"labels":[],"label_agreement":null},{"id":"W2001028810","doi":"10.1109/isit.2007.4557585","title":"Characterization of Rate Region in Interference Channels with Constrained Power","year":2007,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interference (communication); Channel (broadcasting); Generalization; Power (physics); Boundary (topology); Gaussian; Topology (electrical circuits); Mathematics; Computer science; Mathematical optimization; Mathematical analysis; Telecommunications; Combinatorics; Physics","score_opus":0.01437428164843726,"score_gpt":0.22291103893587333,"score_spread":0.20853675728743606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001028810","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":[0.15020034,0.000017653809,0.84501994,0.000011370284,0.00040497424,0.00047832774,0.000008049602,0.00017090145,0.0036884442],"genre_scores_gemma":[0.9965703,0.000062040235,0.0029227457,0.000010244335,0.000028450308,0.00003258503,0.00013358583,0.000044341712,0.00019570827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990687,0.000025099884,0.00044124675,0.00022822552,0.00006858933,0.00016814718],"domain_scores_gemma":[0.9994025,0.000022489527,0.00016134752,0.0002650283,0.00011498394,0.000033649285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013831582,0.00022283288,0.00033438363,0.00030225536,0.0000062235713,0.000016373288,0.000119440796,0.00022482238,0.000027700726],"category_scores_gemma":[0.0000140311995,0.0002093987,0.000025282467,0.00019299609,0.000037778882,0.00012898761,0.000054915625,0.00025442697,0.000002923775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009625493,0.00003005085,0.00044972825,0.00069354876,0.00004794508,0.000022783599,0.0012250112,0.9326349,0.06314377,0.0007459482,0.000008388709,0.0009016778],"study_design_scores_gemma":[0.002689751,0.00035683144,0.003752837,0.00896209,0.000052221094,0.00006851371,0.0006754199,0.70737684,0.27303505,0.0006495091,0.00014083854,0.0022401267],"about_ca_topic_score_codex":0.000013979869,"about_ca_topic_score_gemma":0.000027024324,"teacher_disagreement_score":0.84637,"about_ca_system_score_codex":0.00009604406,"about_ca_system_score_gemma":0.000029052939,"threshold_uncertainty_score":0.8539031},"labels":[],"label_agreement":null},{"id":"W2001564922","doi":"10.1109/lcomm.2013.043013.130264","title":"On Robust Weighted Sum Rate Maximization for MIMO Interfering Broadcast Channels with Imperfect Channel Knowledge","year":2013,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Transceiver; Maximization; Computer science; MIMO; Channel (broadcasting); Imperfect; Base station; Constraint (computer-aided design); Computer network; Mathematical optimization; Telecommunications; Mathematics; Wireless","score_opus":0.023348248623106405,"score_gpt":0.2355392871781733,"score_spread":0.21219103855506688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001564922","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":[0.02921388,0.0002693468,0.9661306,0.0010304637,0.00058695645,0.001478216,0.000018553177,0.0005781911,0.0006937854],"genre_scores_gemma":[0.9760998,0.00013740054,0.021487823,0.00023706577,0.000118030825,0.0014621847,0.0001817931,0.00014350197,0.00013242483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888796,0.0000967035,0.00035019193,0.00024860626,0.000067954235,0.00034860912],"domain_scores_gemma":[0.9980665,0.00028650602,0.00010010376,0.0012775606,0.0001853987,0.00008391959],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014573307,0.0002887365,0.0002496844,0.00027219253,0.00025974074,0.00011314762,0.0006113383,0.00008761473,0.000015552092],"category_scores_gemma":[0.000027599752,0.00028302797,0.00006269692,0.0003874047,0.00007934571,0.0004960373,0.00005839621,0.00022722011,0.00010847576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016138309,0.000047374662,0.000010680536,0.00008944333,0.000069791335,2.7001596e-7,0.0007390921,0.97414577,0.018989686,0.00014652159,0.004502624,0.0012426202],"study_design_scores_gemma":[0.00083470624,0.00008131283,0.000030217125,0.00027461955,0.000028327842,0.0000067726364,0.000111769776,0.98913676,0.007861183,0.0000617767,0.0011561987,0.0004163593],"about_ca_topic_score_codex":0.000024852416,"about_ca_topic_score_gemma":0.000033462362,"teacher_disagreement_score":0.9468859,"about_ca_system_score_codex":0.00022101121,"about_ca_system_score_gemma":0.000012386901,"threshold_uncertainty_score":0.9999622},"labels":[],"label_agreement":null},{"id":"W2001717894","doi":"10.1109/pimrc.2013.6666430","title":"Coverage probability and spectral efficiency for downlink hexagonal cellular networks with Rayleigh fading","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Stochastic geometry; Poisson point process; Rayleigh fading; Telecommunications link; Fading; Point process; Spectral efficiency; Computer science; Coverage probability; Path loss; Topology (electrical circuits); Cellular network; Base station; Interference (communication); Transmission (telecommunications); Algorithm; Electronic engineering; Mathematical optimization; Mathematics; Telecommunications; Statistics; Engineering; Decoding methods; Wireless; Beamforming; Channel (broadcasting)","score_opus":0.005452877386843573,"score_gpt":0.17553733682354664,"score_spread":0.17008445943670306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001717894","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":[0.15505707,0.00014217003,0.8420196,0.000013571467,0.00009020339,0.00090148835,0.0000022236939,0.000214822,0.0015588544],"genre_scores_gemma":[0.9368659,0.000011183862,0.062714994,0.0000112513635,0.00009368672,0.000106075124,0.000014102349,0.000027228578,0.00015557966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999296,0.000008692642,0.00017431768,0.00019728941,0.000060829025,0.00026287558],"domain_scores_gemma":[0.99966013,0.00006026883,0.000024781166,0.00013754246,0.000048702826,0.00006854931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085000145,0.00014184992,0.00015028719,0.000028942557,0.000062793755,0.000050090348,0.000054716736,0.00006118474,0.000058961607],"category_scores_gemma":[0.000010462179,0.00011331655,0.00002288333,0.00009723348,0.000028770004,0.00024196068,0.000011487436,0.00008144456,0.0000046560885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005807032,0.000010302648,0.0007315078,0.000071871626,0.000010449559,4.025632e-7,0.00006601465,0.9962139,0.0013539753,0.0008758806,0.00007844926,0.00058144063],"study_design_scores_gemma":[0.00048052447,0.00006690421,0.00038318933,0.00002415945,0.000008048168,0.0000052028167,0.00002302959,0.9959736,0.0021406976,0.0006070201,0.000091101094,0.00019653856],"about_ca_topic_score_codex":0.000012187471,"about_ca_topic_score_gemma":0.000008791154,"teacher_disagreement_score":0.78180885,"about_ca_system_score_codex":0.000060419796,"about_ca_system_score_gemma":0.0000075469293,"threshold_uncertainty_score":0.46209148},"labels":[],"label_agreement":null},{"id":"W2001787768","doi":"10.1109/glocom.2012.6503843","title":"Joint beamforming, resource allocation, and scheduling for multi-cell multi-user MIMO-OFDMA systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subcarrier; Computer science; Beamforming; Mathematical optimization; MIMO; Scheduling (production processes); Orthogonal frequency-division multiple access; Optimization problem; Resource allocation; Transmitter power output; Maximization; Frequency-division multiple access; Orthogonal frequency-division multiplexing; Convex optimization; Algorithm; Regular polygon; Mathematics; Computer network; Telecommunications; Transmitter","score_opus":0.031016495464039645,"score_gpt":0.2492367999188242,"score_spread":0.21822030445478455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001787768","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":[0.008735821,0.004410259,0.9847674,0.000019622177,0.00043656016,0.00089568284,0.000009337248,0.00045575658,0.000269559],"genre_scores_gemma":[0.5226473,0.000070685484,0.47302595,0.000024359604,0.00024160245,0.00029388414,0.000029616576,0.00010043162,0.0035661594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989288,0.000017254983,0.00039689973,0.00018703511,0.00008352556,0.00038652876],"domain_scores_gemma":[0.99941176,0.000046643156,0.00007820841,0.00021901088,0.00009371445,0.00015068162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028716313,0.00020637919,0.00022243116,0.00010421045,0.00010652288,0.000048364487,0.000075918884,0.0001299176,0.0000062571035],"category_scores_gemma":[0.000057086014,0.00020001721,0.000039931674,0.000101578975,0.000017033968,0.00046018092,0.000028895995,0.00008935619,0.000017286528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041834883,0.00006939746,0.0009259822,0.0007427906,0.000036365425,1.4300265e-7,0.0009605699,0.9729771,0.02194872,0.0013247628,0.00036166387,0.00064830953],"study_design_scores_gemma":[0.000859433,0.000011388589,0.000063042935,0.000092932576,0.000024946317,0.0000061138016,0.0011341841,0.96872723,0.01394352,0.0000012379036,0.014844123,0.00029185828],"about_ca_topic_score_codex":0.0000284398,"about_ca_topic_score_gemma":0.000009789235,"teacher_disagreement_score":0.5139115,"about_ca_system_score_codex":0.00008512467,"about_ca_system_score_gemma":0.000007224712,"threshold_uncertainty_score":0.8156465},"labels":[],"label_agreement":null},{"id":"W2001824121","doi":"10.1109/glocom.2006.649","title":"WLC06-5: A Novel Nonlinear Joint Transmitter-Receiver Processing Algorithm for the Downlink of Multi-User MIMO Systems","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter; MIMO; Computer science; Telecommunications link; Algorithm; Base station; Multi-user MIMO; Joint (building); Electronic engineering; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.01512560698265545,"score_gpt":0.22826863910454223,"score_spread":0.2131430321218868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001824121","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":[0.0009275536,0.0021216264,0.9948098,0.000047417496,0.00049304974,0.0009493537,0.00025356794,0.0002212454,0.00017640607],"genre_scores_gemma":[0.32994503,0.000054256587,0.6672517,0.000045903696,0.0007810462,0.00037671972,0.00015578017,0.00018156519,0.0012080037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988406,0.000012307898,0.00051771925,0.00020462472,0.0001369355,0.00028781738],"domain_scores_gemma":[0.999373,0.00005981237,0.00011967306,0.0002486515,0.00016256447,0.000036294878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015860607,0.00021430266,0.0003006182,0.00006664969,0.00009070108,0.00004470789,0.0001693061,0.000113377224,0.0000053376734],"category_scores_gemma":[0.000010125755,0.00016862695,0.00010768643,0.00019377573,0.00003829694,0.00018530549,0.0000130345115,0.00010999921,0.0000073339097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057615193,0.00008539358,0.000041778843,0.0004943989,0.00004972519,9.971592e-7,0.00020372384,0.9685331,0.007173339,0.00008651181,0.00047329575,0.022851989],"study_design_scores_gemma":[0.0011265856,0.000017195352,0.00016597964,0.00015403828,0.000043221284,0.000011286224,0.00012723701,0.9795749,0.0029249522,0.000007329677,0.01564315,0.0002041284],"about_ca_topic_score_codex":0.00019811657,"about_ca_topic_score_gemma":0.00006087636,"teacher_disagreement_score":0.3290175,"about_ca_system_score_codex":0.00008419785,"about_ca_system_score_gemma":0.000022407767,"threshold_uncertainty_score":0.6876407},"labels":[],"label_agreement":null},{"id":"W2001904840","doi":"10.1109/spawc.2014.6941886","title":"Widely linear Interference Alignment precoding","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Interference alignment; Precoding; Zero-forcing precoding; Grassmannian; Computer science; Constellation; Interference (communication); Offset (computer science); Topology (electrical circuits); Channel (broadcasting); Degrees of freedom (physics and chemistry); Algorithm; MIMO; Mathematics; Telecommunications; Physics","score_opus":0.012849593351732073,"score_gpt":0.22198760097103018,"score_spread":0.2091380076192981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001904840","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":[0.00178354,0.00001955874,0.9353878,0.000013763294,0.00031131337,0.00007145367,4.2728246e-7,0.0003857246,0.06202645],"genre_scores_gemma":[0.96120906,0.000009736158,0.03773886,0.000021786354,0.00006990145,0.000010820844,0.0000025741847,0.000017922055,0.0009193111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962676,0.000008428742,0.0001295121,0.000085865846,0.000039902603,0.00010954109],"domain_scores_gemma":[0.9997867,0.0000228882,0.000012558401,0.00012813375,0.00001604971,0.000033703134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006459161,0.00007083305,0.00007420898,0.000027912994,0.000015774363,0.000010472225,0.00006418233,0.000027378666,0.000093424715],"category_scores_gemma":[0.000020672176,0.000066972236,0.000014588363,0.000047216363,0.0000050231097,0.000108794244,0.000015354539,0.000039085993,0.00013542776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001166557,0.0000037225814,0.00012192004,0.00003334431,0.000009286292,2.4661114e-7,0.00013078567,0.98292696,0.0053220605,0.0021767407,0.0007097803,0.008563982],"study_design_scores_gemma":[0.00010259739,0.00001681566,0.000019779547,0.000034127388,0.0000025716315,0.000002344925,0.000027504346,0.9747853,0.021532454,0.0001761365,0.0031882552,0.00011209081],"about_ca_topic_score_codex":0.0000031172274,"about_ca_topic_score_gemma":0.000005048573,"teacher_disagreement_score":0.95942557,"about_ca_system_score_codex":0.00003979434,"about_ca_system_score_gemma":0.0000015500158,"threshold_uncertainty_score":0.27310485},"labels":[],"label_agreement":null},{"id":"W2001980193","doi":"10.1109/icc.2014.6884159","title":"Energy efficient uplink resource allocation in a heterogeneous wireless medium","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Base station; Telecommunications link; Computer network; Efficient energy use; Resource allocation; Multihoming; Wireless; Wireless network; Distributed computing; Telecommunications; Engineering; Electrical engineering","score_opus":0.004807843096577217,"score_gpt":0.1913439490933659,"score_spread":0.1865361059967887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001980193","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":[0.033803508,0.00006825828,0.96072286,0.00003946226,0.00014660042,0.00007925767,2.8300437e-7,0.00030481632,0.004834969],"genre_scores_gemma":[0.99739534,0.000008955974,0.002198173,0.000047006768,0.00006775556,0.00003209515,0.00001461965,0.000033733984,0.0002023027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993625,0.000024226436,0.00021502576,0.00014500093,0.000081460865,0.00017175132],"domain_scores_gemma":[0.99967575,0.00003722589,0.000022264476,0.00019753045,0.000021477206,0.000045722845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010754974,0.00010270389,0.00011730924,0.0000984662,0.000017658254,0.000011319925,0.00008454821,0.00007010839,0.000012771582],"category_scores_gemma":[0.0000118032285,0.0001044415,0.000018427581,0.00016105363,0.000009671683,0.000032526237,0.000015953954,0.00004951671,0.000017488728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002150864,0.000008763172,0.000023816223,0.000015836122,0.0000029518033,7.8786076e-7,0.0000880277,0.99033844,0.003103653,0.0008455776,0.00006524042,0.005504746],"study_design_scores_gemma":[0.00020058452,0.000010169076,0.000017954562,0.000021895585,0.0000016995239,0.0000047729227,0.000017341288,0.97887754,0.018114906,0.0000257657,0.0025911212,0.000116270254],"about_ca_topic_score_codex":0.00003126456,"about_ca_topic_score_gemma":0.000108711916,"teacher_disagreement_score":0.9635919,"about_ca_system_score_codex":0.000090812064,"about_ca_system_score_gemma":0.0000044858184,"threshold_uncertainty_score":0.42590007},"labels":[],"label_agreement":null},{"id":"W2002313160","doi":"10.1109/wmnc.2013.6549031","title":"An asynchronous distributed power allocation scheme for sum-rate maximization on cognitive GMACs","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Asynchronous communication; Computer science; Maximization; Mathematical optimization; Distributed power; Gaussian; Iterative method; Distributed algorithm; Power (physics); Algorithm; Mathematics; Distributed computing; Telecommunications","score_opus":0.008129318120715942,"score_gpt":0.23080840057721325,"score_spread":0.2226790824564973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002313160","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":[0.03575002,0.00002059795,0.9606579,0.00003090366,0.00018419205,0.0011398112,0.00006267893,0.0005742742,0.0015796289],"genre_scores_gemma":[0.9720997,0.00001343229,0.025740394,0.00005290917,0.000053738942,0.00036804072,0.0015256165,0.000059693597,0.000086451444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927264,0.00002209674,0.00020507476,0.00021239051,0.00007148991,0.00021628643],"domain_scores_gemma":[0.9993131,0.000070103895,0.0000502633,0.00017880887,0.00031098342,0.00007672261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007537569,0.00016677807,0.00013143478,0.00007104877,0.00006604574,0.00006361549,0.00007233244,0.00010221875,0.00017338667],"category_scores_gemma":[0.00008383343,0.00016814673,0.000027323813,0.0001616178,0.000014407113,0.0006017458,0.0000060719663,0.00005966357,0.0001527032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027063947,0.00009820333,0.00020844393,0.00007433985,0.000048669124,3.8839383e-7,0.00018616779,0.97905546,0.012309426,0.0033274675,0.0011106385,0.0035537113],"study_design_scores_gemma":[0.0007243174,0.00014074167,0.00081241503,0.000046863912,0.000011976486,0.0000011607093,0.00034457375,0.9800558,0.017223999,0.00021984153,0.00013693291,0.00028134513],"about_ca_topic_score_codex":0.00001298841,"about_ca_topic_score_gemma":0.000007588494,"teacher_disagreement_score":0.9363497,"about_ca_system_score_codex":0.00013285427,"about_ca_system_score_gemma":0.00001196411,"threshold_uncertainty_score":0.6856824},"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":"W2002498699","doi":"10.1109/vetecf.2010.5594085","title":"The Effect of Training-Based Channel Estimation on the Capacity of Closed-Loop MIMO Systems with Imperfect CSI Feedback","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"MIMO; Imperfect; Control theory (sociology); Channel capacity; Computer science; Channel (broadcasting); Upper and lower bounds; Channel state information; Noise (video); Feedback loop; Signal-to-noise ratio (imaging); Perfect information; Mathematics; Telecommunications; Wireless; Artificial intelligence","score_opus":0.009385927856429225,"score_gpt":0.204571760353483,"score_spread":0.1951858324970538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002498699","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":[0.77359205,0.000038657665,0.22217919,0.000048918955,0.0004987639,0.0011452816,0.000012988309,0.00017294867,0.0023112113],"genre_scores_gemma":[0.999028,0.00000184701,0.00072698965,0.0000041774056,0.000042951415,0.00010405613,0.0000059301906,0.000039437502,0.00004656046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990786,0.00010084757,0.00030256753,0.00012950781,0.00019799432,0.00019049681],"domain_scores_gemma":[0.99835116,0.0009415763,0.00014761806,0.00043780988,0.00008599341,0.00003585624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006733804,0.00019015757,0.0002702551,0.000054475495,0.00009116303,0.00002333247,0.00017558827,0.00009241471,0.0000063797697],"category_scores_gemma":[0.00018759616,0.00009260656,0.000056103258,0.00021100714,0.00010473255,0.0000866276,0.0000065405065,0.00021442916,0.000005215398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051623894,0.0000066599405,0.000079415804,0.0002301394,0.00003911192,1.9682008e-7,0.00022827496,0.98226815,0.015695356,0.0006773537,0.000060979437,0.000662735],"study_design_scores_gemma":[0.0005333877,0.00036394646,0.00012598258,0.00014616556,0.000023671551,0.0000040665423,0.00011613782,0.87113494,0.12741563,0.000010918503,0.000015774547,0.000109374865],"about_ca_topic_score_codex":0.00007092682,"about_ca_topic_score_gemma":0.00008677535,"teacher_disagreement_score":0.22543602,"about_ca_system_score_codex":0.00003011342,"about_ca_system_score_gemma":0.000017039718,"threshold_uncertainty_score":0.37763858},"labels":[],"label_agreement":null},{"id":"W2002517106","doi":"10.1155/2013/345908","title":"Limits on Estimating Autocorrelation Matrices from Mobile MIMO Measurements","year":2013,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Microcell; Autocorrelation; MIMO; Channel (broadcasting); Statistics; Algorithm; Computer science; Mathematics; Telecommunications","score_opus":0.01708142245028757,"score_gpt":0.2492058879258024,"score_spread":0.23212446547551482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002517106","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":[0.45177317,0.0005050198,0.5444742,0.00012710247,0.0021031774,0.00035546493,0.0000070064702,0.000061352584,0.0005935399],"genre_scores_gemma":[0.97677904,0.000083809864,0.022631569,0.00002875226,0.00040383128,0.000017722108,0.000016483751,0.000016422924,0.00002235239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991045,0.000023559684,0.0004075908,0.000082508544,0.00030463721,0.000077214194],"domain_scores_gemma":[0.9991417,0.000058176614,0.0002638889,0.000050816016,0.0004407623,0.000044692286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014083534,0.00009896893,0.00011421461,0.00015760105,0.000034279863,0.000104667415,0.00010406485,0.00004808187,0.00004644775],"category_scores_gemma":[0.00007440542,0.00008533384,0.0000328223,0.0000624483,0.000011134121,0.0007693058,0.0000081498965,0.00011096847,0.000023648734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005774428,0.0000575644,0.005229251,0.00003204852,0.00019858907,0.00000759494,0.00077802135,0.77139384,0.05810729,0.00009414133,0.00060719874,0.1634367],"study_design_scores_gemma":[0.00076070154,0.00016215784,0.007412364,0.0005201614,0.000023563163,0.000039487237,0.00015288145,0.98241735,0.0069699385,0.0011729397,0.00020161872,0.00016683832],"about_ca_topic_score_codex":0.000020929518,"about_ca_topic_score_gemma":0.0000017711293,"teacher_disagreement_score":0.5250059,"about_ca_system_score_codex":0.00008706923,"about_ca_system_score_gemma":0.000010947283,"threshold_uncertainty_score":0.3479813},"labels":[],"label_agreement":null},{"id":"W2002851731","doi":"10.1109/ictel.2010.5478876","title":"Heterogeneous multiuser transmission with BEM-based limited feedback over doubly selective MIMO downlink channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; MIMO; Computer science; Transmission (telecommunications); Computer network; Electronic engineering; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.006420292038090367,"score_gpt":0.20779658627138223,"score_spread":0.20137629423329187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002851731","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":[0.17722315,0.00005109068,0.8186482,0.000051126564,0.0004102311,0.0007385141,0.000013061303,0.001109997,0.0017546212],"genre_scores_gemma":[0.95227313,0.000006490803,0.046955924,0.0000755898,0.00011799118,0.000063867185,0.000050139482,0.000111114736,0.00034575793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886155,0.000019059838,0.0002562273,0.0003264873,0.00017144758,0.000365204],"domain_scores_gemma":[0.9992861,0.000053357773,0.000046281,0.0003094517,0.00013833962,0.00016646068],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006141622,0.00030998062,0.00024595068,0.00014171543,0.00007820001,0.000044470853,0.00013337703,0.00022265964,0.00020805225],"category_scores_gemma":[0.000007537349,0.00024953796,0.00006354748,0.0003381502,0.000032789056,0.00024085699,0.000008037712,0.00032115786,0.000043947723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008661243,0.00004322922,0.00018827846,0.00005215344,0.00004350959,0.000008230064,0.00021435822,0.9196722,0.07796334,0.000011031556,0.00017467492,0.0015424035],"study_design_scores_gemma":[0.0020130023,0.0001106726,0.00016720704,0.000053753676,0.000024221434,0.000020236346,0.000011624776,0.7425861,0.25247756,0.000011266878,0.0020884795,0.00043590245],"about_ca_topic_score_codex":0.00003465132,"about_ca_topic_score_gemma":0.000125628,"teacher_disagreement_score":0.77505,"about_ca_system_score_codex":0.00006298961,"about_ca_system_score_gemma":0.00002559559,"threshold_uncertainty_score":0.9999957},"labels":[],"label_agreement":null},{"id":"W2003322484","doi":"10.1109/icc.2010.5502457","title":"A Practical Algorithm for Realizing GDFE Precoder for Multiuser MIMO Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Precoding; MIMO; Computational complexity theory; Computer science; Algorithm; Covariance matrix; Control theory (sociology); Channel (broadcasting); Telecommunications; Artificial intelligence","score_opus":0.02457881909903687,"score_gpt":0.3006305984006299,"score_spread":0.276051779301593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003322484","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":[0.00008211784,0.000036517595,0.9940473,0.000056264314,0.0014856945,0.0017288912,0.00005070071,0.00057030405,0.001942201],"genre_scores_gemma":[0.02575078,0.000006121015,0.9708194,0.00001716715,0.00051967026,0.0011263005,0.000050582315,0.00010448632,0.0016054822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910057,0.000009206,0.00030852054,0.00021072345,0.00007379861,0.00029717802],"domain_scores_gemma":[0.9991427,0.00032140242,0.000049615137,0.00024037184,0.00016002092,0.000085863656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022217065,0.00015583589,0.00019934868,0.0000595224,0.00006676339,0.00006092755,0.00007287308,0.00017133595,0.000013317146],"category_scores_gemma":[0.00019862594,0.00014701113,0.00006266793,0.00006682476,0.000011898926,0.00033995087,0.000011474348,0.00012496219,0.000012571812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007412188,0.00021272952,0.00006766208,0.002274796,0.0004387377,0.000005190928,0.00073598494,0.68640023,0.07293733,0.06061039,0.093020946,0.08322188],"study_design_scores_gemma":[0.0004896001,0.000024721494,0.0000018058466,0.000021454853,0.000019819454,0.00001841262,0.00015189212,0.9573171,0.0032193118,0.00009156914,0.038448878,0.0001953909],"about_ca_topic_score_codex":0.000022357828,"about_ca_topic_score_gemma":0.00006254246,"teacher_disagreement_score":0.2709169,"about_ca_system_score_codex":0.00004123903,"about_ca_system_score_gemma":0.000017069719,"threshold_uncertainty_score":0.59949404},"labels":[],"label_agreement":null},{"id":"W2003918711","doi":"10.1109/glocom.2012.6503606","title":"Analysis of spectral efficiency and energy efficiency interrelationship in cellular networks with outage constraint","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Constraint (computer-aided design); Spectral efficiency; Base station; Interference (communication); Telecommunications link; Cellular network; Computer science; Efficient energy use; Transmission (telecommunications); Mathematical optimization; Energy (signal processing); Outage probability; Topology (electrical circuits); Control theory (sociology); Mathematics; Computer network; Telecommunications; Engineering; Channel (broadcasting); Fading; Electrical engineering; Statistics","score_opus":0.006740348332843481,"score_gpt":0.1966645283002684,"score_spread":0.18992417996742492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003918711","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":[0.16295135,0.00045734795,0.831634,0.0000018133059,0.000051244206,0.000046879897,0.0000013434867,0.00005362309,0.004802422],"genre_scores_gemma":[0.9967674,0.000013070769,0.0031193402,0.00000294203,0.000016431819,0.0000052384,0.0000113413835,0.000012333702,0.000051887506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993397,0.000022105864,0.0002542245,0.000103860235,0.000066425346,0.00021368766],"domain_scores_gemma":[0.99970174,0.00005856013,0.000041680552,0.00012591298,0.000017317774,0.000054805256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014256616,0.000104575854,0.0002074889,0.00032401373,0.000016583173,0.000007733187,0.000047686735,0.000053840566,0.000035717014],"category_scores_gemma":[0.000010158088,0.00008995077,0.00002933673,0.0008574322,0.000054387845,0.00013042823,0.000010659537,0.00007340543,4.802302e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023887903,0.000022075032,0.059778858,0.0000081903,0.000049285176,7.1964007e-7,0.0003719451,0.93597174,0.00022764121,0.003326819,8.328325e-7,0.00023953652],"study_design_scores_gemma":[0.00016307464,0.000018887487,0.006155277,0.00001649004,0.000080744496,0.0000020106293,0.0002788596,0.9927037,0.000458837,0.000004132769,0.0000057484453,0.00011225916],"about_ca_topic_score_codex":0.000039087412,"about_ca_topic_score_gemma":0.00014686333,"teacher_disagreement_score":0.83381605,"about_ca_system_score_codex":0.00004250568,"about_ca_system_score_gemma":0.0000046050004,"threshold_uncertainty_score":0.36680862},"labels":[],"label_agreement":null},{"id":"W2004089615","doi":"10.1109/cwit.2013.6621600","title":"Cluster based coordinated beamforming and power allocation for MIMO heterogeneous networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; MIMO; Computer network; Cluster analysis; Backhaul (telecommunications); Power control; Multiplexing; Base station; Cluster (spacecraft); Distributed computing; Resource allocation; Channel (broadcasting); Telecommunications; Power (physics)","score_opus":0.005190882478064364,"score_gpt":0.19673346749001477,"score_spread":0.1915425850119504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004089615","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":[0.009888443,0.00012135049,0.9882549,0.000049933984,0.00016940737,0.0007212347,0.0000013306562,0.00027397164,0.0005194176],"genre_scores_gemma":[0.95478135,0.0000047183653,0.044611577,0.00012348914,0.000030138213,0.00017566755,0.000033383523,0.000039792965,0.00019985493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994977,0.0000065576664,0.00016781397,0.00011881354,0.00003282638,0.00017625952],"domain_scores_gemma":[0.9996803,0.000054375956,0.000023436523,0.000113281465,0.00007842569,0.0000501861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051840718,0.00010914085,0.00010558327,0.000046367637,0.000042601667,0.00003771976,0.000038908212,0.000078564844,0.000049028033],"category_scores_gemma":[0.000014039688,0.00010441015,0.000021128195,0.000066288565,0.000009414304,0.00022105279,0.000008897641,0.00003677434,0.000008139133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031895895,0.0000034275795,0.000043122214,0.000027699263,0.0000101426285,8.37395e-8,0.000024344561,0.99648327,0.0009349409,0.000032359643,0.0007071685,0.0017302359],"study_design_scores_gemma":[0.00040328834,0.000024369936,0.000022070804,0.000016232756,0.0000056819927,0.0000035326527,0.000020723188,0.9968661,0.0019281795,0.000029542363,0.0005487285,0.00013153687],"about_ca_topic_score_codex":0.000011325633,"about_ca_topic_score_gemma":0.000009954411,"teacher_disagreement_score":0.94489294,"about_ca_system_score_codex":0.000036954334,"about_ca_system_score_gemma":0.0000029340315,"threshold_uncertainty_score":0.42577225},"labels":[],"label_agreement":null},{"id":"W2004101329","doi":"10.1109/access.2014.2362860","title":"Sparse Beamforming and User-Centric Clustering for Downlink Cloud Radio Access Network","year":2014,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":417,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Beamforming; Computer science; Telecommunications link; Base station; Cluster analysis; Radio access network; Computer network; Scheduling (production processes); User equipment; Cloud computing; Multi-user; Maximization; Cellular network; Distributed computing; Mathematical optimization; Mobile station; Telecommunications; Mathematics","score_opus":0.02015709249078126,"score_gpt":0.2678630212648282,"score_spread":0.24770592877404693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004101329","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":[0.024045084,0.0003454122,0.97169507,0.000021318634,0.002253305,0.00061338616,0.000007436063,0.00037556302,0.00064340886],"genre_scores_gemma":[0.9748818,0.00018759911,0.021698939,0.00011252074,0.0026949057,0.00014927064,0.00003125329,0.00012621933,0.00011745087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987965,0.000022215954,0.000347001,0.00027534494,0.00009766403,0.00046123855],"domain_scores_gemma":[0.9992868,0.00016628757,0.00009715392,0.00028825627,0.00004860756,0.000112927526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023972268,0.00022494316,0.0002936139,0.00010217191,0.00015127544,0.0002868247,0.0004201206,0.00011685548,0.0000062095664],"category_scores_gemma":[0.000043064527,0.00023658921,0.00004568219,0.00029769592,0.00002039537,0.0012332235,0.00010355144,0.000122158,0.0000041181024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013964784,0.000004852392,0.0012737212,0.00024685674,0.000023301973,8.806621e-7,0.000043513195,0.98666364,0.00011688576,0.00007886129,0.0029190278,0.0086144805],"study_design_scores_gemma":[0.0009481992,0.000022052764,0.00026922632,0.00014773766,0.000037100705,0.000014517034,0.000009889495,0.973179,0.0015150156,0.0003542264,0.023101121,0.00040195027],"about_ca_topic_score_codex":0.000011421029,"about_ca_topic_score_gemma":0.00003818401,"teacher_disagreement_score":0.9508368,"about_ca_system_score_codex":0.00007976256,"about_ca_system_score_gemma":0.000008200822,"threshold_uncertainty_score":0.96478283},"labels":[],"label_agreement":null},{"id":"W2004199031","doi":"10.1109/mwscas.2012.6292237","title":"Genetic algorithm optimization for codewords correction in MIMO broadcast channels","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Codebook; Precoding; Transmitter; Algorithm; Computer science; MIMO; Beamforming; Channel state information; Multi-user MIMO; Code word; Wireless; Channel (broadcasting); Telecommunications link; Theoretical computer science; Decoding methods; Telecommunications","score_opus":0.010072136110635564,"score_gpt":0.2281649800412482,"score_spread":0.21809284393061262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004199031","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":[0.0005483255,0.00039310128,0.9938705,0.0000059249865,0.0033036445,0.00053794525,0.000005216958,0.0002950604,0.0010402722],"genre_scores_gemma":[0.3985837,0.00009879717,0.59964925,0.000019757052,0.00053880236,0.00025092406,0.000054099677,0.00007521267,0.00072944665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927455,0.000013935718,0.00024037508,0.00011627814,0.00006109186,0.0002937645],"domain_scores_gemma":[0.9997081,0.00003587487,0.00003060802,0.00011609757,0.000048146245,0.0000611702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001015708,0.00012841352,0.00013341369,0.00013791914,0.000032137697,0.000017889308,0.0000481805,0.00009871844,0.00006292453],"category_scores_gemma":[0.000019940328,0.00014178811,0.000027764097,0.0002376493,0.000007405293,0.0003551413,0.000008593104,0.000058607206,0.000014504536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002584352,0.00001673139,0.00024505236,0.000023717741,0.0000051770744,1.2120591e-7,0.00018254643,0.96938056,0.00006570617,0.0000150150645,0.00055780093,0.029504992],"study_design_scores_gemma":[0.00034952073,0.000017240991,0.000119396886,0.000021962556,0.0000058796627,0.00000850031,0.00009003026,0.9971959,0.001100134,0.000010769325,0.00091580255,0.00016484228],"about_ca_topic_score_codex":0.000016494845,"about_ca_topic_score_gemma":0.00000622322,"teacher_disagreement_score":0.39803538,"about_ca_system_score_codex":0.0001397802,"about_ca_system_score_gemma":0.0000053815907,"threshold_uncertainty_score":0.57819515},"labels":[],"label_agreement":null},{"id":"W2004317249","doi":"10.1109/lcomm.2015.2474402","title":"Communication Neighbors Comparison in a Poisson Field of Nodes","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Poisson distribution; Node (physics); Fading; Poisson point process; Point process; Poisson process; Statistics; Computer science; Point (geometry); Statistical physics; Mathematics; Algorithm; Physics; Geometry","score_opus":0.03871194973627854,"score_gpt":0.30153800219957555,"score_spread":0.262826052463297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004317249","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":[0.4326156,0.006041542,0.5346691,0.009141224,0.0005332101,0.00095908804,0.000019508554,0.00066844234,0.015352283],"genre_scores_gemma":[0.96367437,0.00019014509,0.035798904,0.00020452653,0.0000100455,0.000053210828,0.000036638503,0.000024040482,0.000008114199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991073,0.00013086668,0.00044819206,0.00008322904,0.00009630423,0.00013410806],"domain_scores_gemma":[0.9979168,0.00025206813,0.00010264256,0.0016111421,0.000070556765,0.000046768077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023077845,0.00010809621,0.00020766049,0.00018478901,0.00003801768,0.00001410668,0.00077277416,0.000065990294,0.0000029719677],"category_scores_gemma":[0.00005986635,0.00012843667,0.00003106208,0.0003837219,0.000070659225,0.0002417066,0.00007487205,0.00023121022,0.0000131637025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013494793,0.00011362212,0.016409624,0.000050416405,0.000034486035,4.0447736e-7,0.004294771,0.948,0.019677091,0.0009147771,0.008172655,0.0023186677],"study_design_scores_gemma":[0.0018509593,0.00005978548,0.0029700256,0.00046767195,0.000045249573,0.000007136018,0.0022543937,0.95600086,0.028198654,0.000529325,0.006963295,0.000652642],"about_ca_topic_score_codex":0.000250748,"about_ca_topic_score_gemma":0.00027848076,"teacher_disagreement_score":0.5310588,"about_ca_system_score_codex":0.00014126035,"about_ca_system_score_gemma":0.000014213321,"threshold_uncertainty_score":0.52374953},"labels":[],"label_agreement":null},{"id":"W2004357868","doi":"10.1109/allerton.2011.6120226","title":"On the degrees of freedom of SISO interference and X channels with delayed CSIT","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Degrees of freedom (physics and chemistry); Interference (communication); Additive white Gaussian noise; Fading; Interference alignment; Limiting; Channel state information; Channel (broadcasting); Control theory (sociology); Transmitter; Topology (electrical circuits); Computer science; Telecommunications; Mathematics; Physics; Engineering; Wireless; Combinatorics; Control (management); MIMO","score_opus":0.020522141177637773,"score_gpt":0.19204131928935422,"score_spread":0.17151917811171646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004357868","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":[0.23044965,0.000060515336,0.7603452,0.0000041152957,0.000044258526,0.00012963433,0.0000028393918,0.00004307515,0.008920709],"genre_scores_gemma":[0.988741,0.00001090466,0.011164608,0.0000018986307,0.000004521716,0.0000056061963,4.5383956e-7,0.000009387662,0.00006165581],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997462,0.0000067398337,0.00010449163,0.000052597883,0.00003610989,0.00005383402],"domain_scores_gemma":[0.9997556,0.000041824784,0.000031206753,0.00012213735,0.00003635543,0.000012880719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036330108,0.000058360787,0.00008897437,0.000028366763,0.000007755622,0.0000019770068,0.000061454106,0.000020990083,0.000043030603],"category_scores_gemma":[0.000010773886,0.000033904784,0.000007790027,0.000057631572,0.000034820132,0.000053318217,0.000011633876,0.0000308708,0.000001232091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008243582,0.00002561856,0.0007857521,0.00009200673,0.00009129947,7.279818e-7,0.0033081903,0.9653949,0.0052956054,0.02419972,0.00011024705,0.0006134994],"study_design_scores_gemma":[0.0006302762,0.0008090828,0.001545388,0.0003717671,0.000035144105,0.000008369201,0.0014325965,0.8773783,0.11690114,0.00061230577,0.0000079529345,0.0002676868],"about_ca_topic_score_codex":0.00007490209,"about_ca_topic_score_gemma":0.000080427315,"teacher_disagreement_score":0.7582913,"about_ca_system_score_codex":0.000004640894,"about_ca_system_score_gemma":0.0000020743066,"threshold_uncertainty_score":0.1382597},"labels":[],"label_agreement":null},{"id":"W2004665780","doi":"10.1049/el:20010693","title":"Multiple transmit multiple receive (MTMR) capacitysurvey in Manhattan","year":2001,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications; Computer science; Wireless; Transmitter; Electrical engineering; Computer network; Electronic engineering; Engineering; Channel (broadcasting)","score_opus":0.008291051664673135,"score_gpt":0.19767276697590438,"score_spread":0.18938171531123124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004665780","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":[0.6421128,0.0007930233,0.35492685,0.00035738634,0.00028517316,0.00045040197,0.000009626124,0.00044314945,0.0006215997],"genre_scores_gemma":[0.9962611,0.00028181117,0.0028825966,0.00023294549,0.00007732709,0.00006319998,0.00004850525,0.00008632838,0.00006617435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985118,0.000069262845,0.00033100968,0.00027850925,0.00013652493,0.00067287404],"domain_scores_gemma":[0.9994614,0.00012852353,0.00003991242,0.0002775285,0.000022902472,0.00006972599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002065557,0.00023842404,0.00024146898,0.00018270082,0.000051005074,0.000025647605,0.00018180981,0.000107517,0.000024621593],"category_scores_gemma":[0.00005325663,0.00028417067,0.0000595996,0.00044524047,0.000026054182,0.00027969255,0.0000080354675,0.00039878843,0.000047618352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030972828,0.000025991236,0.017819699,0.000032180043,0.000033012562,0.000029177652,0.0005509474,0.8788171,0.09943994,0.00004150543,0.0005991092,0.002580391],"study_design_scores_gemma":[0.005018898,0.00014321474,0.010559218,0.00015284248,0.00002858331,0.00009543575,0.00018159013,0.9072424,0.039547984,0.00017777174,0.03517979,0.0016722509],"about_ca_topic_score_codex":0.00009252916,"about_ca_topic_score_gemma":0.003416847,"teacher_disagreement_score":0.35414833,"about_ca_system_score_codex":0.0005715507,"about_ca_system_score_gemma":0.000015754626,"threshold_uncertainty_score":0.999961},"labels":[],"label_agreement":null},{"id":"W2004733292","doi":"10.1109/tvt.2011.2119337","title":"Correction to \"Downlink Scheduling via Genetic Algorithms for Multiuser Single-Carrier and Multicarrier MIMO Systems With Dirty Paper Coding\" [Sep 09 3247-3262]","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; Coding (social sciences); Computer science; Scheduling (production processes); Algorithm; Error detection and correction; Electronic engineering; Telecommunications; Mathematics; Engineering; Mathematical optimization; Statistics","score_opus":0.015253167766817772,"score_gpt":0.2123862989698144,"score_spread":0.19713313120299664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004733292","genre_codex":"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":[0.052592944,0.00025779748,0.9425974,0.000035569545,0.0018723331,0.0014245841,0.000040262097,0.0011344374,0.000044696902],"genre_scores_gemma":[0.86587024,0.000038889986,0.13296182,0.000025528861,0.000052047315,0.00079631235,0.000005192002,0.00013390857,0.0001160531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834603,0.000031656902,0.00043800974,0.0005600194,0.00014733856,0.0004769615],"domain_scores_gemma":[0.99898666,0.00006262371,0.00007817525,0.0004961492,0.00022322703,0.0001531512],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000101993384,0.00039068033,0.0004103326,0.0005405191,0.00023782748,0.000034077497,0.00016095387,0.00044955802,0.000013493532],"category_scores_gemma":[0.000022778144,0.00037810663,0.00007269072,0.0005479463,0.00012139487,0.00022093048,0.0000032365638,0.0004055036,0.000017058921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007807744,0.00009336128,0.000071672206,0.00011274236,0.0001964928,0.0000120951045,0.0004315903,0.91013396,0.059627518,0.000019989106,0.000014229414,0.029208293],"study_design_scores_gemma":[0.0013152688,0.00054705905,0.00006465001,0.00027058672,0.0001847873,0.00019275013,0.00047897204,0.8791597,0.11647172,0.000027319851,0.00066507707,0.0006221259],"about_ca_topic_score_codex":0.00007165002,"about_ca_topic_score_gemma":0.0001264834,"teacher_disagreement_score":0.8132773,"about_ca_system_score_codex":0.00019348957,"about_ca_system_score_gemma":0.000016942658,"threshold_uncertainty_score":0.9998671},"labels":[],"label_agreement":null},{"id":"W2004820542","doi":"10.1109/icccn.2012.6289315","title":"Radio Planning of Energy-Efficient Cellular Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Limiting; Computer science; Quality of service; Energy (signal processing); Cellular network; Computer network; Radio resource management; Power (physics); Efficient energy use; Telecommunications; Engineering; Wireless; Electrical engineering; Wireless network","score_opus":0.00788967589163194,"score_gpt":0.19495927875359811,"score_spread":0.18706960286196617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004820542","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":[0.008292714,0.0026425975,0.97670203,8.195977e-7,0.00043594965,0.000038048915,4.1609692e-7,0.00017130021,0.01171612],"genre_scores_gemma":[0.9917798,0.000008952177,0.007841092,0.000004104041,0.00014698537,0.000004834544,0.000006560124,0.000022025724,0.00018565705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956757,0.000007797905,0.00014680924,0.000047156806,0.000050901075,0.0001797737],"domain_scores_gemma":[0.99978197,0.000019098607,0.00002264223,0.000114514085,0.000013455816,0.000048349986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006582037,0.000069949696,0.00009661688,0.000039953105,0.000014093089,0.0000029494563,0.000043629396,0.000045524597,0.00003077495],"category_scores_gemma":[0.0000036072586,0.000067383495,0.000021756345,0.00010156105,0.000007281457,0.000064171676,0.000009954011,0.000036439098,0.0000035676687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.9752635e-7,0.00000685433,0.00047402957,0.00001134089,0.000007960243,2.7402035e-7,0.00009799276,0.9950652,0.002089217,0.0017135798,0.00027115355,0.0002615709],"study_design_scores_gemma":[0.0000807769,0.000003651826,0.000052648098,0.000017454546,0.0000044421804,0.0000016599498,0.000041728683,0.98225826,0.01643417,0.000002943536,0.0010209375,0.00008133937],"about_ca_topic_score_codex":0.0000033109866,"about_ca_topic_score_gemma":1.9052496e-7,"teacher_disagreement_score":0.98348707,"about_ca_system_score_codex":0.000028224948,"about_ca_system_score_gemma":0.0000015061287,"threshold_uncertainty_score":0.2747819},"labels":[],"label_agreement":null},{"id":"W2005031132","doi":"10.1007/s11276-005-1770-3","title":"On the Design Problem of Cellular Wireless Networks","year":2005,"lang":"en","type":"article","venue":"Wireless Networks","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":"Polytechnique Montréal","funders":"","keywords":"Tabu search; Computer science; Base station; Mathematical optimization; Cellular network; Network planning and design; Service (business); Computer network; Network topology; Distributed computing; Wireless network; Wireless; Topology (electrical circuits); Algorithm; Telecommunications; Mathematics","score_opus":0.009483817083448868,"score_gpt":0.18863315818514936,"score_spread":0.1791493411017005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005031132","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":[0.006537117,0.0010136915,0.98937094,0.00006042911,0.00029745811,0.00068954483,0.0000018599566,0.00033919362,0.001689745],"genre_scores_gemma":[0.99319834,0.0002815814,0.005489565,0.00007197295,0.0005590692,0.00011201475,0.000014755747,0.00011498011,0.00015771526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984749,0.0001220751,0.0004911533,0.00025092388,0.00018726714,0.00047366478],"domain_scores_gemma":[0.9988473,0.00036491983,0.00014171221,0.00049453415,0.000071353556,0.00008018389],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037546834,0.0002985235,0.0003426442,0.00006111214,0.00010942234,0.000032747314,0.00034554407,0.00023770372,0.000045886783],"category_scores_gemma":[0.000006182905,0.00023881128,0.00008671894,0.0003985307,0.00006860741,0.00014538964,0.000037493348,0.0004146161,0.00002000734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020915493,0.000025639305,0.00001853157,0.000026121297,0.000041867177,0.0000022682611,0.00010642948,0.97356576,0.0005249885,0.005355266,0.0029767544,0.017335486],"study_design_scores_gemma":[0.00028445676,0.000035692836,0.000007555783,0.00019625513,0.000018036351,0.0000026858427,0.000028874289,0.9960275,0.0025503817,0.00012208738,0.00047496962,0.0002514877],"about_ca_topic_score_codex":0.0000049321206,"about_ca_topic_score_gemma":0.0000109689445,"teacher_disagreement_score":0.98666126,"about_ca_system_score_codex":0.000104428684,"about_ca_system_score_gemma":0.000012828425,"threshold_uncertainty_score":0.9738441},"labels":[],"label_agreement":null},{"id":"W2005149067","doi":"10.1109/glocom.2014.7037458","title":"Relay-assisted downlink transmissions to support increased data rates for single antenna users","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Relay; Scheduling (production processes); Multiplexing; Interference (communication); Transmitter; Channel (broadcasting); Wireless; Frame (networking); Wireless network; Real-time computing; Telecommunications; Engineering","score_opus":0.03996443189815782,"score_gpt":0.28759343820100214,"score_spread":0.24762900630284432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005149067","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":[0.0023448868,0.000019128536,0.9921426,0.0001669674,0.00022040134,0.00054616696,0.00012574476,0.000609636,0.0038244405],"genre_scores_gemma":[0.81207454,0.0000061625287,0.18604459,0.00014632763,0.00008754747,0.000054073833,0.0008781434,0.00007327319,0.0006353093],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904764,0.000021806742,0.00030425884,0.00028289715,0.000080135935,0.00026327535],"domain_scores_gemma":[0.9989087,0.00014911499,0.000027548507,0.00066137075,0.000066917775,0.00018635405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021752864,0.00016036224,0.00020673093,0.00009463263,0.000071076916,0.00003505179,0.0002941201,0.00008389091,0.00008237714],"category_scores_gemma":[0.00020972504,0.00014721918,0.00003578317,0.00020660915,0.000011300298,0.0002993716,0.000032671534,0.000060295457,0.00004270312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009575774,0.00013830757,0.00043109813,0.00034416773,0.00011437402,0.000003750591,0.000329572,0.20333305,0.7452479,0.00043953376,0.03260771,0.016914796],"study_design_scores_gemma":[0.0012719741,0.00019509267,0.00021154087,0.00009704479,0.000054241762,0.000014155629,0.00012541449,0.920869,0.016649317,0.00003766022,0.060000867,0.00047372884],"about_ca_topic_score_codex":0.000026113077,"about_ca_topic_score_gemma":0.0000748572,"teacher_disagreement_score":0.8097297,"about_ca_system_score_codex":0.000048362297,"about_ca_system_score_gemma":0.000016578831,"threshold_uncertainty_score":0.60034233},"labels":[],"label_agreement":null},{"id":"W2005287916","doi":"10.1109/pimrc.2011.6139988","title":"Joint channel allocation and user association for heterogeneous wireless cellular networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Macrocell; Computer science; Channel (broadcasting); Channel allocation schemes; Association (psychology); Interference (communication); Joint (building); Cellular network; Reuse; Heterogeneous network; Wireless network; Computer network; Wireless; Association scheme; Simple (philosophy); Distributed computing; Engineering; Mathematics; Telecommunications; Base station","score_opus":0.01622282031919585,"score_gpt":0.18496796905518442,"score_spread":0.16874514873598856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005287916","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":[0.013896259,0.00015787866,0.98436356,0.000007298035,0.00029100612,0.00034802675,0.0000019848678,0.0002308899,0.00070311275],"genre_scores_gemma":[0.99226266,0.000060617243,0.006864349,0.000017268785,0.00009107587,0.000081510574,0.000024770217,0.0000361724,0.0005615676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995173,0.000009304309,0.00016209045,0.000112785216,0.000044064698,0.00015444611],"domain_scores_gemma":[0.99974483,0.000017073246,0.00004706305,0.000090708105,0.00006366673,0.000036641966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010384914,0.00009116634,0.000106029875,0.000034280216,0.000036559435,0.000014026516,0.0000297754,0.00009977455,0.0000080467025],"category_scores_gemma":[0.0000099743,0.000095881755,0.000022900602,0.000049204642,0.00000394174,0.00012979424,0.000008698971,0.000037108002,0.0000037361517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065188374,0.000013313072,0.00022697127,0.0000649494,0.00005307828,5.500083e-7,0.00039179932,0.9925323,0.004311824,0.00078577443,0.00043016448,0.0011827371],"study_design_scores_gemma":[0.0002244892,0.000020346253,0.00008160791,0.000011809193,0.000013683726,0.0000013901666,0.000031284795,0.97024626,0.028959854,0.000114027745,0.0001641011,0.00013115461],"about_ca_topic_score_codex":0.0000109408675,"about_ca_topic_score_gemma":0.000023089542,"teacher_disagreement_score":0.97836643,"about_ca_system_score_codex":0.00009183683,"about_ca_system_score_gemma":0.0000021681344,"threshold_uncertainty_score":0.39099443},"labels":[],"label_agreement":null},{"id":"W2005299750","doi":"10.1109/twc.2014.2371465","title":"Unified and Distributed QoS-Driven Cell Association Algorithms in Heterogeneous Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Fading; Quality of service; Algorithm; Telecommunications link; Distributed algorithm; Heterogeneous network; Base station; Distributed computing; Mathematical optimization; Wireless; Computer network; Wireless network; Mathematics; Telecommunications; Decoding methods","score_opus":0.02024142050915868,"score_gpt":0.23760712726050717,"score_spread":0.2173657067513485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005299750","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":[0.01112423,0.00034533106,0.9869579,0.00012601902,0.00036540543,0.00033065793,0.000088613924,0.00033245192,0.00032936313],"genre_scores_gemma":[0.99294925,0.0011203665,0.0055181812,0.000016955482,0.000022298138,0.00015284793,0.00009345182,0.00004414186,0.00008251026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990079,0.00013377702,0.00034215627,0.00016262825,0.00012220997,0.00023134056],"domain_scores_gemma":[0.9987886,0.00019264787,0.000077200944,0.0007151864,0.000107411215,0.00011897972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015634747,0.00016972327,0.00020553023,0.00014991808,0.00014079487,0.00004259176,0.00028301452,0.0001765969,0.0000034283187],"category_scores_gemma":[0.00000585653,0.00020698339,0.000039122428,0.0004557321,0.00003969765,0.00020567149,0.000004947339,0.00039381004,0.000012692248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005446543,0.00008777474,0.00012639981,0.000009047779,0.000022038366,8.693064e-7,0.0002872355,0.9966293,0.00019134884,0.000021932357,0.00006803592,0.002550595],"study_design_scores_gemma":[0.0007001222,0.000026986263,0.00006399952,0.0000365119,0.000023032957,0.000004429632,0.00016758603,0.9972203,0.0011526563,0.000025524927,0.0003749468,0.00020395474],"about_ca_topic_score_codex":0.0000646037,"about_ca_topic_score_gemma":0.0005962971,"teacher_disagreement_score":0.981825,"about_ca_system_score_codex":0.0005596866,"about_ca_system_score_gemma":0.000024351548,"threshold_uncertainty_score":0.84405375},"labels":[],"label_agreement":null},{"id":"W2007397140","doi":"10.1109/vtcspring.2013.6692714","title":"Point-Wise Sum Capacity Maximization in LTE-A Coordinated Multi-Point Downlink","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Toronto","funders":"","keywords":"Path loss; Telecommunications link; Computer science; Mathematical optimization; Maximization; Enhanced Data Rates for GSM Evolution; Point (geometry); Capacity optimization; Path (computing); Range (aeronautics); Point-to-point; Small cell; Capacity loss; Wireless; Power (physics); Computer network; Telecommunications; Mathematics; Engineering","score_opus":0.013115140784501756,"score_gpt":0.20661822117780856,"score_spread":0.1935030803933068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007397140","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":[0.03583535,0.000048295813,0.95878315,0.00009985489,0.00030086254,0.00075463747,0.000006156809,0.0007494046,0.0034223122],"genre_scores_gemma":[0.94576645,0.000024218858,0.053188864,0.00004312424,0.000029909548,0.00010552171,0.00005283431,0.000054513774,0.0007345362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898815,0.00003619362,0.0004105455,0.00018856481,0.0000706438,0.00030587125],"domain_scores_gemma":[0.99943894,0.000032293512,0.0000477005,0.00026755666,0.00012528048,0.00008821797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011532852,0.00020070285,0.00022077367,0.00019300266,0.00003259109,0.00004483943,0.000111499525,0.00014239085,0.00046262922],"category_scores_gemma":[0.00008671298,0.0001994405,0.000035117875,0.0003923181,0.000022560582,0.00076671963,0.000027053586,0.00016541066,0.00037325663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002852912,0.000046397683,0.0020312164,0.00006927879,0.0000125072,0.000001919345,0.00036514536,0.9843447,0.010653467,0.0003325901,0.0010421631,0.001097737],"study_design_scores_gemma":[0.00092313654,0.000012498726,0.0015950191,0.00004309222,0.000004254677,0.0000053220624,0.00021334483,0.989067,0.0075802486,0.00019718823,0.00007066898,0.00028821023],"about_ca_topic_score_codex":0.00059778464,"about_ca_topic_score_gemma":0.0003820245,"teacher_disagreement_score":0.9099311,"about_ca_system_score_codex":0.00021895504,"about_ca_system_score_gemma":0.0000079248375,"threshold_uncertainty_score":0.81329477},"labels":[],"label_agreement":null},{"id":"W2007523487","doi":"10.1109/tvt.2014.2350498","title":"Analysis of Spectrum Efficiency and Energy Efficiency of Heterogeneous Wireless Networks with Intra-/Inter-RAT Offloading","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Heterogeneous network; Quality of service; Computer science; Cellular network; Spectral efficiency; Efficient energy use; Base station; Wireless network; Mathematical optimization; Energy consumption; Computer network; Wireless; Engineering; Channel (broadcasting); Mathematics; Telecommunications; Electrical engineering","score_opus":0.0027804419109131225,"score_gpt":0.17832474277385182,"score_spread":0.1755443008629387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007523487","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26795742,0.00016003128,0.7314644,0.000013406271,0.0001028587,0.000066270084,0.000003774575,0.0001974053,0.000034489894],"genre_scores_gemma":[0.99861735,0.00012423327,0.0011768208,0.000005063786,0.0000072445036,0.000023250137,0.0000021365997,0.000034022785,0.0000098680885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989768,0.000030489671,0.0003692607,0.0002708503,0.000105773805,0.00024682804],"domain_scores_gemma":[0.9993471,0.00005192592,0.00010739789,0.0003956739,0.00005810012,0.00003982966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008311869,0.00019848072,0.0004786771,0.0010534642,0.000058891128,0.0000064417127,0.00016062021,0.00022942657,0.000007670951],"category_scores_gemma":[0.0000029634784,0.00018829154,0.00008989384,0.001741053,0.00018697887,0.000051031577,0.000002046527,0.00018162327,4.5581163e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013295067,0.00005433262,0.00006972935,0.00003172351,0.0003019413,0.000002676131,0.000042197866,0.97392917,0.01511914,0.0001842197,2.8361487e-7,0.010251321],"study_design_scores_gemma":[0.00021758379,0.00022867693,0.000004053336,0.000055829943,0.0002658003,0.0000223306,0.000028334043,0.7783756,0.22064117,0.00001333562,0.000011885857,0.00013534972],"about_ca_topic_score_codex":0.00002383393,"about_ca_topic_score_gemma":0.00018319387,"teacher_disagreement_score":0.73065996,"about_ca_system_score_codex":0.000049843748,"about_ca_system_score_gemma":0.000006988991,"threshold_uncertainty_score":0.7678306},"labels":[],"label_agreement":null},{"id":"W2007937277","doi":"10.1109/glocom.2014.7037474","title":"Enhancing cell edge users performance in open access small cells networks: A Cross layer approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Network packet; Enhanced Data Rates for GSM Evolution; Cellular network; Simple (philosophy); Interference (communication); Transmission (telecommunications); Edge device; Layer (electronics); Distributed computing; Telecommunications; Channel (broadcasting)","score_opus":0.02555086387549709,"score_gpt":0.2658072725957271,"score_spread":0.24025640872023002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007937277","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":[0.12257095,0.000051818966,0.8130094,0.000001621961,0.00032963426,0.00047034858,6.2745363e-7,0.00018473803,0.06338088],"genre_scores_gemma":[0.96586525,0.000051264542,0.032265842,0.000044962337,0.00011469213,0.00009414776,0.000011279415,0.00006574166,0.0014868379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887735,0.000032672113,0.00034716105,0.00028341642,0.0000679626,0.00039147036],"domain_scores_gemma":[0.9994493,0.000045431494,0.000053712305,0.00034165647,0.000036695834,0.00007320068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036318426,0.000195927,0.00024123832,0.000091743925,0.000057340854,0.0003943967,0.00078944745,0.00011407723,0.00003095964],"category_scores_gemma":[0.000008781862,0.00019531003,0.000025560952,0.00034593136,0.000015081874,0.0012935414,0.000290852,0.00018537843,0.00003549619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005815591,0.000016369075,0.0046373885,0.00016251503,0.0000035236508,3.3750544e-7,0.00015089192,0.9928522,0.0015792338,0.000030485788,0.00008911566,0.00047214044],"study_design_scores_gemma":[0.0005246563,0.000011013665,0.00083872833,0.000048099853,0.000002941235,0.0000010036459,0.000050002316,0.95294315,0.044514548,0.000004611895,0.0007926254,0.00026860053],"about_ca_topic_score_codex":0.00006420884,"about_ca_topic_score_gemma":0.00017614722,"teacher_disagreement_score":0.84329426,"about_ca_system_score_codex":0.000105479485,"about_ca_system_score_gemma":0.000012206958,"threshold_uncertainty_score":0.7964512},"labels":[],"label_agreement":null},{"id":"W2008006250","doi":"10.1109/ccece.2012.6334872","title":"Outage probability in a circle with uniformly distributed users","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Outage probability; Computer science; Coverage probability; Wireless; Probability distribution; Wireless network; Topology (electrical circuits); Statistics; Mathematics; Computer network; Telecommunications; Fading; Combinatorics","score_opus":0.008820419422849073,"score_gpt":0.19979290704036065,"score_spread":0.19097248761751157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008006250","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":[0.31743327,0.000031122072,0.6783509,0.000013413206,0.00006878949,0.0003181495,0.000010851587,0.0003535696,0.003419911],"genre_scores_gemma":[0.9904608,0.0000014497018,0.009405672,0.0000051534944,0.000015211911,0.000029420844,0.00002505958,0.000017253631,0.000039957482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950856,0.0000092306545,0.00013009858,0.00007389964,0.000052362066,0.00022586422],"domain_scores_gemma":[0.99974257,0.000013457083,0.000013224638,0.0001568934,0.000016582671,0.00005727006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092860784,0.000076337165,0.000094268304,0.000032296037,0.000011768914,0.000007576686,0.000043744065,0.000038121678,0.000022373226],"category_scores_gemma":[0.000015317768,0.00006867981,0.0000099621975,0.00021647636,0.000012353041,0.0003867141,0.000008612345,0.00006351151,0.000018139262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000082378665,0.000038210477,0.10280101,0.00008279666,0.000008957372,9.794009e-7,0.00034248029,0.8953075,0.00028315053,0.0005459755,0.00004542118,0.0005353051],"study_design_scores_gemma":[0.004570035,0.00016365506,0.46417898,0.00026406336,0.000040088544,0.00004800297,0.0020450903,0.50878,0.012249281,0.00080227375,0.004895493,0.0019630408],"about_ca_topic_score_codex":0.00002513696,"about_ca_topic_score_gemma":0.00016575251,"teacher_disagreement_score":0.6730276,"about_ca_system_score_codex":0.00014385208,"about_ca_system_score_gemma":0.00000571994,"threshold_uncertainty_score":0.28006813},"labels":[],"label_agreement":null},{"id":"W2008460220","doi":"10.1109/pimrc.2013.6666718","title":"Dynamic spectrum access for small cells","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cognitive radio; Interference (communication); Computer science; Computer network; Small cell; Spectrum management; Wireless; Telecommunications; Cellular network","score_opus":0.00933792479462009,"score_gpt":0.22229470229961373,"score_spread":0.21295677750499364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008460220","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":[0.004246573,0.00003256175,0.9885125,0.000047064117,0.00035643758,0.0005262843,0.0000029451528,0.00040187978,0.0058737467],"genre_scores_gemma":[0.9299917,0.000018746221,0.06514743,0.000035485664,0.000044202163,0.00018375064,0.000012971271,0.000053302614,0.004512376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962354,0.0000021750673,0.00011059905,0.00008635005,0.000022132017,0.00015523116],"domain_scores_gemma":[0.99978656,0.000022633221,0.000012684692,0.00012537335,0.000019661162,0.000033085587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000018783903,0.0000760477,0.00007742624,0.000037583974,0.000017610497,0.000046274392,0.000107217376,0.00003618797,0.0002006839],"category_scores_gemma":[0.0000037225238,0.00007188925,0.000023103516,0.000060536575,0.000004220703,0.00023342532,0.000013670857,0.00002855715,0.00016255536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.497467e-7,0.000003633877,0.000014398256,0.000063343476,0.00000830496,1.1958414e-7,0.000018787237,0.9903205,0.006708106,0.00017283733,0.0017769637,0.00091244135],"study_design_scores_gemma":[0.00014842876,0.000008042537,0.00007367301,0.0000065473027,0.0000028815837,7.2472574e-7,0.000016771228,0.9775914,0.020295644,0.00092087645,0.00081701786,0.00011798913],"about_ca_topic_score_codex":0.000024591442,"about_ca_topic_score_gemma":0.00006973484,"teacher_disagreement_score":0.9257452,"about_ca_system_score_codex":0.000045752946,"about_ca_system_score_gemma":0.0000027004276,"threshold_uncertainty_score":0.29315582},"labels":[],"label_agreement":null},{"id":"W2009085230","doi":"10.1155/2008/587243","title":"Optimal Power Allocation with Channel Inversion Regularization-Based Precoding for MIMO Broadcast Channels","year":2009,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Dirty paper coding; MIMO; Zero-forcing precoding; Mathematics; Channel (broadcasting); Computer science; Mathematical optimization; Inversion (geology); Algorithm; Control theory (sociology); Telecommunications","score_opus":0.01091637055238604,"score_gpt":0.248603750214593,"score_spread":0.23768737966220696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009085230","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":[0.0058035064,0.0021348072,0.9904013,0.00016690872,0.00029353457,0.0004489348,0.0000028616698,0.00015810797,0.0005900385],"genre_scores_gemma":[0.9543631,0.000106929845,0.04498056,0.00015060302,0.00024322874,0.000024883335,0.00001979608,0.000063448366,0.00004746037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99844354,0.000043364595,0.0005120612,0.00029193622,0.00030136877,0.0004077272],"domain_scores_gemma":[0.999134,0.000083658284,0.00029339525,0.000111466856,0.0002583388,0.00011914271],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000326748,0.000298167,0.00028357428,0.0004061905,0.00026734875,0.00016499925,0.00018341446,0.00010148112,0.00001030486],"category_scores_gemma":[0.000054882006,0.00027362595,0.000054166616,0.00053218007,0.00003260172,0.0018454194,0.000005494702,0.00033721357,0.0000024855347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024308692,0.00005017787,0.00003560413,0.00010802182,0.0000056804656,0.000009625236,0.00035180422,0.9581108,0.0019484324,0.000038874263,0.00002332686,0.039074555],"study_design_scores_gemma":[0.0016270928,0.0005980243,0.000027124004,0.0016609584,0.000013481743,0.00004817208,0.00026568683,0.9825461,0.011644058,0.0005030635,0.0006718698,0.0003943794],"about_ca_topic_score_codex":1.2286206e-7,"about_ca_topic_score_gemma":6.790977e-7,"teacher_disagreement_score":0.9485596,"about_ca_system_score_codex":0.00030035796,"about_ca_system_score_gemma":0.0000684743,"threshold_uncertainty_score":0.99997157},"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":"W2010486721","doi":"10.1155/2014/720546","title":"Analysis of MIMO Receiver Using Generalized Least Squares Method in Colored Environments","year":2014,"lang":"en","type":"article","venue":"Journal of Computer Networks and Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"MIMO; Colors of noise; Algorithm; Estimator; Noise (video); Mathematics; Minimum mean square error; Gaussian noise; Computer science; Covariance; Covariance matrix; Colored; Statistics; Channel (broadcasting); Telecommunications; White noise","score_opus":0.017222094163018137,"score_gpt":0.26631265573337853,"score_spread":0.24909056157036039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010486721","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":[0.031437747,0.0012818845,0.9670844,0.000025798587,0.00006650836,0.000050150757,0.0000011053277,0.0000054207044,0.000046949328],"genre_scores_gemma":[0.70250106,0.00088508014,0.2965511,0.00001331712,0.00003348914,0.0000010722117,0.0000048995607,0.0000076157335,0.0000023688426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999129,0.0002074412,0.00047058926,0.00005000195,0.000063878884,0.000079090954],"domain_scores_gemma":[0.9991972,0.00016390759,0.00023622213,0.00032725334,0.000038875023,0.000036572066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032742397,0.00007350488,0.00031949917,0.00024212383,0.000039207524,0.000014849278,0.00023448044,0.00004805974,0.0000031051916],"category_scores_gemma":[0.0000050650815,0.00007185938,0.000069941925,0.00035482534,0.000030312767,0.00012070477,0.000065873515,0.00013461073,7.5024715e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054990787,0.000021225444,0.0027758663,0.000004243936,0.0002184677,1.8097182e-7,0.00015210515,0.988565,0.00018746576,0.00015088306,0.000018770332,0.007900286],"study_design_scores_gemma":[0.00032506944,0.000021044323,0.0068378416,0.000049552465,0.00017745866,0.0000050715935,0.000019497249,0.9918056,0.000011680372,0.00004756087,0.000638608,0.000061028546],"about_ca_topic_score_codex":0.000012310965,"about_ca_topic_score_gemma":0.000029807103,"teacher_disagreement_score":0.6710633,"about_ca_system_score_codex":0.00003886347,"about_ca_system_score_gemma":0.0000041993176,"threshold_uncertainty_score":0.29303405},"labels":[],"label_agreement":null},{"id":"W2011751543","doi":"10.1109/pimrcw.2010.5670406","title":"A limited feedback user-location-aware network MIMO coordination scheme for cellular downlink","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Base station; Channel state information; Computer science; Telecommunications link; MIMO; Computer network; Scheduling (production processes); Transmission (telecommunications); Cellular network; User equipment; Throughput; Cooperative MIMO; Multi-user MIMO; Real-time computing; Channel (broadcasting); Wireless; Telecommunications; Engineering","score_opus":0.007868844321452975,"score_gpt":0.21371522412296126,"score_spread":0.20584637980150827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011751543","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":[0.01024502,0.00008045083,0.9855674,0.00013665929,0.0011084406,0.00076890923,0.000008764004,0.0007619429,0.0013224409],"genre_scores_gemma":[0.8264182,0.0000057809884,0.17041449,0.000044997218,0.00062840857,0.00019542278,0.0002976223,0.000077464945,0.0019176158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991029,0.000009677006,0.00030167616,0.0002099087,0.000091079746,0.00028476754],"domain_scores_gemma":[0.9991458,0.00009014259,0.000059105012,0.0003155067,0.00031188416,0.00007754383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014442294,0.00017745726,0.000166675,0.00007338295,0.00009978553,0.0000481386,0.00013393379,0.00019017387,0.00008147479],"category_scores_gemma":[0.00008021457,0.00018734492,0.000049181526,0.00039895362,0.000016796233,0.00030034964,0.000016509473,0.00016326901,0.00007172717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010735309,0.000023335477,0.00062138814,0.00017472873,0.000040938456,4.7814365e-7,0.00007648989,0.9205959,0.055036884,0.005463123,0.016575446,0.0013805792],"study_design_scores_gemma":[0.0005976928,0.00002034803,0.00011087008,0.000033312484,0.000015090634,0.0000019770405,0.000044406625,0.96318096,0.011998024,0.00021351148,0.023497086,0.00028672616],"about_ca_topic_score_codex":0.000006609917,"about_ca_topic_score_gemma":0.00008235314,"teacher_disagreement_score":0.8161732,"about_ca_system_score_codex":0.0000512381,"about_ca_system_score_gemma":0.00001856585,"threshold_uncertainty_score":0.76397043},"labels":[],"label_agreement":null},{"id":"W2011808294","doi":"10.1109/twc.2013.090413.121731","title":"A Novel Interference Alignment Scheme Based on Sequential Antenna Switching in Wireless Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Interference (communication); Signal-to-interference-plus-noise ratio; Wireless; Quality of service; Antenna (radio); Wireless network; Channel (broadcasting); Computer network; Noise (video); Signal-to-noise ratio (imaging); Channel state information; Electronic engineering; Topology (electrical circuits); Algorithm; Telecommunications; Engineering; Electrical engineering; Artificial intelligence","score_opus":0.023714746235386684,"score_gpt":0.2486410197123853,"score_spread":0.22492627347699862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011808294","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":[0.015786154,0.000038551025,0.9818776,0.0002666245,0.00037739807,0.0007078295,0.000021282778,0.00041622538,0.00050833216],"genre_scores_gemma":[0.98334694,0.0002166399,0.015330526,0.00010804645,0.000021545635,0.0008289471,0.000026879594,0.0000808147,0.000039690316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985216,0.00010024999,0.00055874494,0.00028510875,0.00016835528,0.00036591679],"domain_scores_gemma":[0.9979286,0.00025099315,0.000087551634,0.0015293995,0.00009350933,0.0001099034],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014405543,0.00030125826,0.00028534047,0.00034598898,0.0002509532,0.00008673754,0.00072190975,0.00016370314,0.00005288769],"category_scores_gemma":[0.0000036542683,0.0003394827,0.00009455495,0.000562282,0.000071452,0.00038310923,0.0000075088356,0.0007518771,0.00006346656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011989076,0.00030939223,0.000025156523,0.00002432543,0.000028714663,5.407007e-7,0.00021081652,0.9440733,0.04718035,0.00026096258,0.000013274048,0.007861149],"study_design_scores_gemma":[0.00069260783,0.000041445852,0.000070273134,0.0004416342,0.00001254915,0.000003555105,0.000146918,0.9941827,0.0040592947,0.000016869939,0.00001867889,0.00031349092],"about_ca_topic_score_codex":0.0002864504,"about_ca_topic_score_gemma":0.0006074058,"teacher_disagreement_score":0.96756077,"about_ca_system_score_codex":0.00041218,"about_ca_system_score_gemma":0.00003448165,"threshold_uncertainty_score":0.9999057},"labels":[],"label_agreement":null},{"id":"W2012217633","doi":"10.1109/tcomm.2015.2389255","title":"Distance Statistics of the Communication Best Neighbor in a Poisson Field of Nodes","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Fading; Poisson distribution; Node (physics); Path loss; Attenuation; Statistics; Mathematics; k-nearest neighbors algorithm; Topology (electrical circuits); Computer science; Algorithm; Wireless; Telecommunications; Physics; Combinatorics; Artificial intelligence; Decoding methods","score_opus":0.029770531393956044,"score_gpt":0.2820368421103502,"score_spread":0.25226631071639416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012217633","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":[0.002286427,0.0005170429,0.99427736,0.0003358802,0.00012514867,0.00026076028,0.00013019927,0.00004236064,0.0020248464],"genre_scores_gemma":[0.9675623,0.00062425237,0.03159051,0.000014026331,0.0000024353146,0.00006251057,0.000009027983,0.000018662204,0.000116277515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922293,0.00011482196,0.00039645488,0.00006569382,0.00011186446,0.00008820346],"domain_scores_gemma":[0.997715,0.00038979403,0.00010654292,0.0016043483,0.00015357026,0.000030762403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013610141,0.0000897706,0.00015202453,0.000097654425,0.000069143876,0.0000063509024,0.0006391184,0.00006235435,0.0000069186863],"category_scores_gemma":[0.000028853116,0.00008552066,0.0000367816,0.00046609185,0.00010864829,0.00012825677,0.0000060181374,0.0002432541,0.000003755823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019494688,0.00029812934,0.0004204297,0.0000662143,0.000033750977,6.698327e-8,0.0021148662,0.98540187,0.0013537981,0.0038903165,0.00020423275,0.0061968123],"study_design_scores_gemma":[0.0020252955,0.00019860757,0.0011067342,0.0011648089,0.00015708462,0.000006527938,0.0034591758,0.92009103,0.06435444,0.005043452,0.0018456506,0.00054718263],"about_ca_topic_score_codex":0.00041538704,"about_ca_topic_score_gemma":0.003227255,"teacher_disagreement_score":0.9652759,"about_ca_system_score_codex":0.00009801035,"about_ca_system_score_gemma":0.00003903386,"threshold_uncertainty_score":0.34874314},"labels":[],"label_agreement":null},{"id":"W2012814553","doi":"10.1002/ett.2513","title":"Low complexity greedy, genetic and hybrid user scheduling algorithms for multiuser MIMO systems with successive zero‐forcing","year":2012,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greedy algorithm; Computer science; Algorithm; Scheduling (production processes); Computational complexity theory; MIMO; Mathematical optimization; Mathematics","score_opus":0.026237593173703052,"score_gpt":0.26296093863637054,"score_spread":0.2367233454626675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012814553","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":[0.025074398,0.0023208421,0.96839446,0.00019494042,0.00018506993,0.00096565316,0.000051737952,0.0027498368,0.00006308576],"genre_scores_gemma":[0.6626467,0.0005895851,0.33600962,0.000004253702,0.000012083445,0.0006214303,0.00001976126,0.00006313307,0.00003343092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870366,0.000035637862,0.00041117228,0.00025060272,0.00011631689,0.00048259512],"domain_scores_gemma":[0.9984035,0.00026326874,0.00012232628,0.0010055794,0.00014438276,0.00006097556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015526603,0.00030906877,0.00031029043,0.0004086289,0.0006756483,0.00007164066,0.0004535584,0.0001433654,0.000004668022],"category_scores_gemma":[0.000041184485,0.00030324527,0.000054770317,0.00044937298,0.00023031654,0.00056981837,0.000021611413,0.00040836766,0.0000054455295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010384642,0.00009031842,0.00025580107,0.00018109677,0.00010606585,3.301788e-7,0.00027273476,0.9783573,0.0006426521,0.0005217763,0.000020424453,0.0195411],"study_design_scores_gemma":[0.00087159354,0.00009630786,0.0001916612,0.00038627963,0.00012516162,0.000052002655,0.0034393037,0.97749215,0.01565158,0.00020971037,0.00079982344,0.0006844423],"about_ca_topic_score_codex":0.00005877496,"about_ca_topic_score_gemma":0.000051160965,"teacher_disagreement_score":0.6375723,"about_ca_system_score_codex":0.00016285056,"about_ca_system_score_gemma":0.000014567008,"threshold_uncertainty_score":0.99994195},"labels":[],"label_agreement":null},{"id":"W2013303820","doi":"10.1109/icc.2014.6884141","title":"Location-aware coordinated multipoint transmission in OFDMA networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Base station; Telecommunications link; Beamforming; Transmission (telecommunications); Orthogonal frequency-division multiple access; Efficient energy use; Interference (communication); MIMO; Signal-to-noise ratio (imaging); Computer network; Electronic engineering; Orthogonal frequency-division multiplexing; Real-time computing; Telecommunications; Electrical engineering; Engineering","score_opus":0.004030302178218064,"score_gpt":0.1925157980323115,"score_spread":0.18848549585409344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013303820","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":[0.0012324125,0.00021350749,0.9965195,0.000043738393,0.00013613791,0.00020222382,2.509497e-7,0.000375195,0.001277006],"genre_scores_gemma":[0.9938244,0.000040504616,0.0057806615,0.00002015633,0.000038492253,0.000039014893,0.000013873592,0.00002950717,0.00021334241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946845,0.000022069044,0.0002064627,0.00011349903,0.000042386804,0.00014711104],"domain_scores_gemma":[0.9997376,0.000035783683,0.000016331314,0.000120431934,0.000044735367,0.000045124605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008708623,0.00009815539,0.000116407966,0.000070168775,0.000019358182,0.00000962484,0.000060195896,0.00008300506,0.000051550145],"category_scores_gemma":[0.000012075752,0.00009338094,0.000015045081,0.00028007897,0.0000067749183,0.00012242896,0.0000051941856,0.00008753833,0.000014064725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024943586,0.0000072998205,0.00039639187,0.000045382727,0.000002976369,2.9336982e-7,0.000056953853,0.97929996,0.00040957294,0.00011003522,0.00015266414,0.019515963],"study_design_scores_gemma":[0.0003929318,0.0000070794977,0.00048669174,0.000114150025,0.0000023210305,7.7481747e-7,0.00002471841,0.9970914,0.0010964059,0.00002641792,0.00063916034,0.00011795901],"about_ca_topic_score_codex":0.000039365943,"about_ca_topic_score_gemma":0.000049634597,"teacher_disagreement_score":0.99259204,"about_ca_system_score_codex":0.000054138633,"about_ca_system_score_gemma":0.0000036378956,"threshold_uncertainty_score":0.38079643},"labels":[],"label_agreement":null},{"id":"W2013461435","doi":"10.1186/1687-1499-2011-138","title":"Multiuser MIMO downlink transmission with BEM-based limited feedback over doubly selective channels","year":2011,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Precoding; Telecommunications link; MIMO; Channel state information; Base station; Channel (broadcasting); Spectral efficiency; Quantization (signal processing); Algorithm; Control theory (sociology); Computer network; Telecommunications; Wireless","score_opus":0.03279083065212579,"score_gpt":0.2410062303042889,"score_spread":0.2082153996521631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013461435","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":[0.17054367,0.006343438,0.81528914,0.00027999384,0.00060731,0.0007989143,0.00000729734,0.00053471053,0.0055955197],"genre_scores_gemma":[0.9754771,0.0035181087,0.02062141,0.00007956201,0.00015754093,0.000025759973,0.00001625989,0.00007823042,0.000026057192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882877,0.00015093092,0.0003894561,0.0001757254,0.00014883582,0.00030631025],"domain_scores_gemma":[0.99880075,0.00017917485,0.0001778245,0.0005286189,0.00014590919,0.00016772955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023650266,0.00025818244,0.00026361988,0.00018858921,0.00051770644,0.00008886142,0.00036333487,0.000114812836,0.000014830152],"category_scores_gemma":[0.0000032364028,0.00021654586,0.0000581949,0.0004309019,0.00007712604,0.000289796,0.000032123564,0.0006833913,0.000003689889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005224126,0.0003376308,0.0053304797,0.000085450374,0.00031812763,0.000030313111,0.005775794,0.8125126,0.0020642867,0.0003121003,0.00026851118,0.17244235],"study_design_scores_gemma":[0.00221697,0.00029002904,0.0016525955,0.001308591,0.0000649974,0.000104806146,0.0001276674,0.9852131,0.0013387694,0.000074794356,0.00709059,0.00051708706],"about_ca_topic_score_codex":0.00000815058,"about_ca_topic_score_gemma":0.000020528529,"teacher_disagreement_score":0.8049334,"about_ca_system_score_codex":0.0000966327,"about_ca_system_score_gemma":0.000025293917,"threshold_uncertainty_score":0.88304836},"labels":[],"label_agreement":null},{"id":"W2013803641","doi":"10.1109/iccchina.2014.7008352","title":"Spectrum-efficient topology management of asymmetric interference alignment networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Subnetwork; Topology (electrical circuits); Computer science; Network topology; Precoding; Scheme (mathematics); Wireless network; Interference (communication); Logical topology; Computer network; Wireless; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.006182454524753324,"score_gpt":0.20798129760953069,"score_spread":0.20179884308477736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013803641","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":[0.0020285484,0.00011730009,0.93094265,0.000014172712,0.0004310215,0.00014994472,3.5667125e-7,0.00013222134,0.066183776],"genre_scores_gemma":[0.9864991,0.00006302863,0.013063479,0.00001129376,0.00003177243,0.000013338034,0.0000026382554,0.0000148869285,0.00030051515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993937,0.00001611287,0.00022948033,0.00012247743,0.000065145425,0.00017305998],"domain_scores_gemma":[0.99967927,0.00002647342,0.000034747507,0.00021317581,0.000012988379,0.00003333892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105384526,0.00009430797,0.00013864537,0.00010725441,0.000012909568,0.000005103843,0.0001107038,0.000038849434,0.000057395435],"category_scores_gemma":[0.0000035193736,0.000088915556,0.000024957764,0.00025788246,0.00001653631,0.000022361664,0.00004410454,0.000044707216,0.000020041885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001804048,0.000012856514,0.00006873061,0.000044069482,0.000022961605,5.5930764e-7,0.000018634328,0.9587181,0.00003103267,0.034891356,0.00011263676,0.0060772304],"study_design_scores_gemma":[0.0001985844,0.000042042175,0.00024753239,0.00003452065,0.000010097018,0.0000018995413,0.000065357155,0.99632716,0.0025100813,0.00016830285,0.00029205089,0.00010239009],"about_ca_topic_score_codex":0.0000054051834,"about_ca_topic_score_gemma":0.0000040264217,"teacher_disagreement_score":0.9844705,"about_ca_system_score_codex":0.00006714868,"about_ca_system_score_gemma":9.1157386e-7,"threshold_uncertainty_score":0.36258712},"labels":[],"label_agreement":null},{"id":"W2014226511","doi":"10.1109/icassp.2013.6638566","title":"Coordinate update algorithms for robust power loading for the MISO downlinkwith outage constraints and Gaussian uncertainties","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Transmitter; Computer science; Mathematical optimization; Convex optimization; Quality of service; Transmitter power output; Outage probability; Interference (communication); Gaussian; Power (physics); Signal-to-noise ratio (imaging); Channel state information; Algorithm; Channel (broadcasting); Regular polygon; Wireless; Mathematics; Fading; Telecommunications","score_opus":0.01400353809890307,"score_gpt":0.22709178143398095,"score_spread":0.2130882433350779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014226511","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":[0.0008250929,0.00029004968,0.9947004,0.00040492817,0.00036386872,0.0015686334,0.000055715936,0.00023801033,0.0015533355],"genre_scores_gemma":[0.83936155,0.00005133537,0.15868075,0.00009913456,0.00007815783,0.00047339496,0.000030170726,0.000064685,0.0011608441],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921036,0.0000074365516,0.00023144718,0.00018798627,0.000055221266,0.00030753124],"domain_scores_gemma":[0.99943125,0.00017892863,0.00004595482,0.00017407797,0.00010447579,0.00006532896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013566363,0.00018404672,0.00018209036,0.00005062192,0.0001484339,0.00011774053,0.000106549465,0.0000758889,0.00012331152],"category_scores_gemma":[0.00004055064,0.00012575879,0.00004572414,0.00006597362,0.00009721145,0.00028274773,0.000019336569,0.00006983342,0.000012397629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028718578,0.000021764099,0.00029495158,0.0004510187,0.0003642383,0.0000014459202,0.0012784839,0.9268375,0.0020325198,0.014059365,0.011393169,0.043236803],"study_design_scores_gemma":[0.0008871396,0.000040833485,0.00008122476,0.000042748474,0.000029443254,0.0000098110295,0.002105176,0.99138826,0.000654696,0.0007973153,0.0036816013,0.0002817501],"about_ca_topic_score_codex":0.00002112572,"about_ca_topic_score_gemma":0.000013150286,"teacher_disagreement_score":0.83853644,"about_ca_system_score_codex":0.000039083556,"about_ca_system_score_gemma":0.0000076042456,"threshold_uncertainty_score":0.5128294},"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":"W2014673742","doi":"10.1109/iccnc.2014.6785350","title":"Adaptive coverage for high data rate LTE networks","year":2014,"lang":"en","type":"article","venue":"2014 International Conference on Computing, Networking and Communications (ICNC)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Radio resource management; Small cell; Computer network; Radio access network; Cellular network; Remote radio head; Distributed computing; Telecommunications; Wireless network; Cognitive radio; Base station; Wireless; Mobile station","score_opus":0.06411237020732778,"score_gpt":0.2905218901687926,"score_spread":0.2264095199614648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014673742","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":[0.00047603782,0.00037832436,0.9833411,0.00036864134,0.0012567177,0.00030471807,0.000046553112,0.00027937803,0.013548518],"genre_scores_gemma":[0.97561795,0.0013909786,0.020999145,0.00016105827,0.00066537975,0.000036830203,0.00091709057,0.00004457795,0.00016700113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987379,0.00014870983,0.00039220645,0.00034894253,0.000116757605,0.00025549025],"domain_scores_gemma":[0.99745494,0.00066075433,0.00019534693,0.0013929653,0.00022426576,0.00007175009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061468774,0.00022445172,0.00023783218,0.00009786074,0.00031442384,0.00018065427,0.001438132,0.00009933425,0.000015409101],"category_scores_gemma":[0.000057313588,0.00024551194,0.0000331996,0.00010559027,0.00008693284,0.00019730908,0.000507384,0.000301393,0.000015045338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027680722,0.000032436375,0.000152515,0.000012311244,0.00010415422,2.1046179e-7,0.00009505998,0.73534757,0.000024398185,0.184415,0.004858462,0.074930206],"study_design_scores_gemma":[0.00046038057,0.00005038167,0.00020008767,0.00019938733,0.000017763385,0.000003185684,0.00002853877,0.97351134,0.000005370094,0.00369686,0.021581009,0.0002456772],"about_ca_topic_score_codex":0.000030512956,"about_ca_topic_score_gemma":0.00005376562,"teacher_disagreement_score":0.9751419,"about_ca_system_score_codex":0.00006563092,"about_ca_system_score_gemma":0.000018818975,"threshold_uncertainty_score":0.9999997},"labels":[],"label_agreement":null},{"id":"W2015271877","doi":"10.1109/lawp.2014.2375217","title":"A Water-Filling Algorithm for Distributed MIMO Systems in Underground Tunnels","year":2014,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Telecommunications link; Computer science; Antenna (radio); Electronic engineering; Distributed antenna system; Power (physics); Multi-mode optical fiber; 3G MIMO; Distributed computing; Engineering; Computer network; Telecommunications; Optical fiber; Channel (broadcasting)","score_opus":0.009424215533843972,"score_gpt":0.207210248371682,"score_spread":0.19778603283783802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015271877","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":[0.1553386,0.00006406912,0.8431706,0.00018310816,0.00054327707,0.0005187074,0.000022525892,0.00015165197,0.000007498694],"genre_scores_gemma":[0.99688184,0.000040338,0.0024228974,0.00008132797,0.00020078273,0.0001740642,0.0001354619,0.00004757899,0.000015725389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989626,0.000039820705,0.0003575849,0.00023745243,0.000092532835,0.00031000047],"domain_scores_gemma":[0.99964213,0.000060526865,0.000053929492,0.00012938822,0.000059683985,0.000054365093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023147558,0.00018274646,0.00024872183,0.00012196423,0.000084453386,0.00009252867,0.0000692354,0.00008126433,7.796169e-7],"category_scores_gemma":[0.000008300638,0.0001583482,0.000032288866,0.00012118684,0.000032223186,0.00031822498,0.0000076987,0.000092231625,0.0000034645143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010509708,0.000017101169,0.00012221953,0.00042465763,0.00003174292,0.000004310249,0.0003446859,0.650925,0.3353726,0.0002677198,0.00017271326,0.012306778],"study_design_scores_gemma":[0.0007229513,0.000023721046,0.00004828055,0.00018020227,0.000009226348,0.000009463357,0.00011393648,0.9882565,0.01003923,0.00005747215,0.00030481216,0.0002342145],"about_ca_topic_score_codex":0.000043226333,"about_ca_topic_score_gemma":0.000009846237,"teacher_disagreement_score":0.8415432,"about_ca_system_score_codex":0.000090888105,"about_ca_system_score_gemma":0.0000038075905,"threshold_uncertainty_score":0.6457252},"labels":[],"label_agreement":null},{"id":"W2015398759","doi":"10.1109/tmc.2015.2417880","title":"Downlink Power Control in Self-Organizing Dense Small Cells Underlaying Macrocells: A Mean Field Game","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Nash equilibrium; Base station; Telecommunications link; Power control; Relaxation (psychology); Cellular network; Power (physics); Mathematics; Computer network","score_opus":0.012104384029354551,"score_gpt":0.21801056353718837,"score_spread":0.20590617950783383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015398759","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":[0.1319709,0.00014437192,0.8650928,0.000012369106,0.0010974046,0.0005110842,0.0000051624093,0.0007925876,0.00037329193],"genre_scores_gemma":[0.98767096,0.00001889623,0.011978567,0.00011808828,0.00006690148,0.000022136886,0.0000013460372,0.00008927107,0.00003385213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984949,0.00007577267,0.0005031458,0.00033347262,0.00015291796,0.0004397851],"domain_scores_gemma":[0.9990803,0.0003069928,0.000073723524,0.00028567069,0.00009895533,0.00015436226],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028509443,0.00028217823,0.00032337444,0.00025506347,0.00008982132,0.00006306138,0.00016893362,0.00017170009,0.000019832603],"category_scores_gemma":[0.000007392678,0.0003298826,0.00008143934,0.00043368308,0.000011447615,0.00015559206,0.0000023987016,0.00048423655,0.00007052557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015002833,0.00006380364,0.00002566208,0.00005002586,0.000035533503,0.000017645272,0.0032682715,0.98338896,0.009865389,0.0000029062403,0.000027726934,0.0032390563],"study_design_scores_gemma":[0.0016963771,0.00012963837,0.000003962716,0.00017433405,0.000030432231,0.000028604594,0.0014140015,0.9500152,0.045930006,0.000020496738,0.000143752,0.00041322253],"about_ca_topic_score_codex":0.00004475889,"about_ca_topic_score_gemma":0.000087713284,"teacher_disagreement_score":0.8557001,"about_ca_system_score_codex":0.00038789853,"about_ca_system_score_gemma":0.00004124498,"threshold_uncertainty_score":0.9999153},"labels":[],"label_agreement":null},{"id":"W2015439719","doi":"10.1109/vetecf.2010.5594067","title":"Impact of MIMO Pilot Sequence Length and Frame Length at Different Frequencies","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Frame (networking); Channel (broadcasting); Sensitivity (control systems); Computer science; Ultra high frequency; Degradation (telecommunications); Sequence (biology); Algorithm; Mathematics; Telecommunications; Electronic engineering; Engineering","score_opus":0.018046764821965752,"score_gpt":0.25307331245738063,"score_spread":0.23502654763541486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015439719","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":[0.9697214,0.00011822505,0.027007729,0.0000079813335,0.00022620196,0.0001727609,0.000022855187,0.00022696563,0.0024959],"genre_scores_gemma":[0.9933149,0.00009324063,0.0062525957,0.0000042182082,0.000039933555,0.000010802291,0.000008208162,0.000032651453,0.00024344621],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993195,0.000010274371,0.00022211949,0.00015253686,0.00009389916,0.0002016601],"domain_scores_gemma":[0.99948674,0.000066696135,0.000045020875,0.00026608884,0.00004781141,0.00008761535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044176355,0.00017665079,0.00021549087,0.000065821805,0.00003554161,0.000014716707,0.0000934315,0.00007655309,0.00019876348],"category_scores_gemma":[0.00004778672,0.0001368293,0.00004104465,0.00007637476,0.000068032234,0.00019952498,0.00003604783,0.00016495647,0.000011496831],"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":[0.000008309585,0.000022893058,0.015786076,0.00007650993,0.000045544064,0.0000012807914,0.00023705518,0.028388992,0.953624,0.00094441784,0.00013289752,0.0007320283],"study_design_scores_gemma":[0.0026178102,0.0013960247,0.16043024,0.00021497103,0.00009240562,0.00017980173,0.000248498,0.41718835,0.4134119,0.0018968757,0.00040635504,0.0019167622],"about_ca_topic_score_codex":0.00014942058,"about_ca_topic_score_gemma":0.0002785893,"teacher_disagreement_score":0.5402121,"about_ca_system_score_codex":0.00009297389,"about_ca_system_score_gemma":0.00000826275,"threshold_uncertainty_score":0.55797374},"labels":[],"label_agreement":null},{"id":"W2015761588","doi":"10.1109/icc.2012.6363948","title":"Joint load balancing and admission control in OFDMA-based femtocell networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Université du Québec à Montréal","funders":"","keywords":"Femtocell; Computer science; Macrocell; Computer network; Throughput; Power control; Admission control; Transmitter power output; Cellular network; Markov decision process; Base station; Distributed computing; Markov process; Power (physics); Quality of service; Wireless","score_opus":0.006920917219282454,"score_gpt":0.1952483813361019,"score_spread":0.18832746411681944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015761588","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":[0.019608408,0.0020092886,0.9758552,0.000029087294,0.00023172186,0.00024342097,8.7804455e-7,0.00019583787,0.0018262032],"genre_scores_gemma":[0.99574184,0.000031552176,0.0039130165,0.0000803888,0.00009377561,0.000023553474,0.000002375515,0.000024348798,0.00008913814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994164,0.000017156,0.0001840223,0.00008361087,0.000059323796,0.00023945875],"domain_scores_gemma":[0.99972636,0.000035751404,0.000022783848,0.0000924041,0.000018452663,0.00010423645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001695325,0.00010283522,0.00014509619,0.00004793796,0.00001776666,0.000010513429,0.000024690315,0.000073083065,0.000052286992],"category_scores_gemma":[0.00002201378,0.00009386217,0.000014987851,0.0000894029,0.0000058374826,0.00016477492,0.0000072416474,0.00009015186,0.0000057732746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057919365,0.000009053815,0.016372398,0.00003966285,0.0000030607468,6.603955e-7,0.000046747366,0.97813547,0.0037783277,0.000024165134,0.000200201,0.0013844842],"study_design_scores_gemma":[0.00082161394,0.0000066677208,0.002717212,0.000073470204,0.0000044174917,0.0000013465346,0.000022915476,0.9943768,0.0015323842,0.0000036968634,0.0003204167,0.00011908211],"about_ca_topic_score_codex":0.000019815585,"about_ca_topic_score_gemma":0.000017664504,"teacher_disagreement_score":0.97613347,"about_ca_system_score_codex":0.000101758924,"about_ca_system_score_gemma":0.000008754146,"threshold_uncertainty_score":0.3827588},"labels":[],"label_agreement":null},{"id":"W2016143185","doi":"10.1109/ieee-iws.2013.6616706","title":"Efficient optimal power allocation for MIMO MAC in cognitive radio networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Computer science; Lagrange multiplier; Quality of service; MIMO; Transmitter power output; Mathematical optimization; Resource allocation; Computation; Computer network; Optimization problem; Interference (communication); Wireless; Transmitter; Algorithm; Telecommunications; Mathematics","score_opus":0.007112790143410972,"score_gpt":0.2222173685508641,"score_spread":0.21510457840745312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016143185","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":[0.029480072,0.0002259274,0.9654294,0.000020481739,0.00023806027,0.001012377,0.000002221382,0.00017563277,0.0034157748],"genre_scores_gemma":[0.97626734,0.000008696578,0.022900831,0.000025014351,0.000043525626,0.00034701222,0.000030892897,0.00003231874,0.0003443533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999403,0.0000089619225,0.00019667938,0.00013451205,0.000046828216,0.0002099892],"domain_scores_gemma":[0.99969494,0.00007618795,0.00002173684,0.00008254817,0.00008465695,0.000039905277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007081734,0.00010555048,0.00011182338,0.00007086548,0.000019935733,0.000020915779,0.000046145306,0.000071646085,0.00014136697],"category_scores_gemma":[0.000023640045,0.000106090905,0.00002533433,0.00013521378,0.000010595392,0.000090750786,0.00000850977,0.00006016524,0.000037667345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005072824,0.000012760329,0.000069814116,0.000010727566,0.000008469387,2.206241e-7,0.0001368134,0.9973782,0.00019709436,0.00016830408,0.0006446666,0.0013679],"study_design_scores_gemma":[0.00051435165,0.00002065864,0.0002985554,0.000034488374,0.000004067754,0.0000014269289,0.00022260571,0.9982033,0.00047697793,0.0000102591885,0.00008197711,0.00013135307],"about_ca_topic_score_codex":0.000014091019,"about_ca_topic_score_gemma":0.000009496792,"teacher_disagreement_score":0.9467873,"about_ca_system_score_codex":0.00008294424,"about_ca_system_score_gemma":0.000005118202,"threshold_uncertainty_score":0.43262616},"labels":[],"label_agreement":null},{"id":"W2016276204","doi":"10.1109/icc.2012.6364048","title":"Asymptotic analysis of outage probability in cognitive radio networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognitive radio; Poisson point process; Asymptotic analysis; Cumulant; Point process; Interference (communication); Applied mathematics; Exponential distribution; Poisson distribution; Computer science; Statistical physics; Exponential function; Coverage probability; Asymptotic analysis; Mathematics; Statistics; Physics; Mathematical analysis; Telecommunications; Wireless","score_opus":0.01388980838936676,"score_gpt":0.23834115944685647,"score_spread":0.2244513510574897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016276204","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":[0.1730256,0.0003735706,0.82182515,9.627248e-7,0.0000831326,0.0002001196,0.0000035367566,0.000084445324,0.0044034864],"genre_scores_gemma":[0.9970021,0.000014193479,0.0028629426,0.000003381913,0.000021438755,0.000016541533,0.000019412257,0.000010867069,0.00004911079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994268,0.000026044267,0.0002418456,0.00007896313,0.000050402003,0.00017597889],"domain_scores_gemma":[0.99969757,0.000084367544,0.000030226716,0.00011564029,0.0000321884,0.000040013216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018840951,0.000077399025,0.00022955197,0.00016236225,0.000006370913,0.0000030440247,0.00003660404,0.000054248918,0.00009966376],"category_scores_gemma":[0.000047298043,0.000075126474,0.000050007126,0.0008021696,0.000015742286,0.00018355327,0.000009842047,0.000060710452,0.0000028211768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023744146,0.000021182901,0.12477452,0.000016955375,0.00012958502,1.2346436e-7,0.00023865231,0.8742394,0.000022148997,0.000120255296,0.0000050365184,0.0004297801],"study_design_scores_gemma":[0.00016892725,0.0000052877576,0.055957444,0.000016539,0.0001598469,2.8526094e-7,0.000102352096,0.94325405,0.0002188918,0.00001556208,0.0000053030913,0.00009553191],"about_ca_topic_score_codex":0.000018319332,"about_ca_topic_score_gemma":0.000104669336,"teacher_disagreement_score":0.8239765,"about_ca_system_score_codex":0.00007906525,"about_ca_system_score_gemma":0.0000026490577,"threshold_uncertainty_score":0.30635688},"labels":[],"label_agreement":null},{"id":"W2016572145","doi":"10.1109/wcnc.2013.6555229","title":"Low-complexity adaptive transceiver techniques for K-pair MIMO interference channels","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Transceiver; Computer science; Algorithm; Computational complexity theory; Interference (communication); Block (permutation group theory); Channel (broadcasting); Wireless; Mathematics; Telecommunications","score_opus":0.027330938909749403,"score_gpt":0.2378360930660721,"score_spread":0.21050515415632268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016572145","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":[0.0019811024,0.00002983733,0.98965293,0.00004818559,0.00018369587,0.0010887353,0.000012526222,0.0010958725,0.005907133],"genre_scores_gemma":[0.8721713,0.0000062991835,0.12649648,0.000031372278,0.000074544434,0.0004961873,0.000010164628,0.000035791603,0.00067785906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936134,0.000009735839,0.00019649022,0.00016630931,0.000047539397,0.00021861505],"domain_scores_gemma":[0.9996146,0.00003663445,0.000022568871,0.00015743356,0.00011492167,0.000053830034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045053348,0.00015536758,0.00016561862,0.0000642243,0.00003491546,0.000025939738,0.00012854622,0.000077679324,0.00021555078],"category_scores_gemma":[0.00000755944,0.00014474186,0.000053904987,0.00008524637,0.00003510192,0.00039732474,0.000009062432,0.0000711746,0.000063952066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017037902,0.00037028507,0.00018317613,0.0024084009,0.0003880571,0.000004756103,0.007891565,0.41241986,0.29888234,0.051687256,0.06252108,0.16307285],"study_design_scores_gemma":[0.00033816765,0.00015450137,0.000056975143,0.00015015861,0.000010481626,0.0000032964203,0.00030287882,0.60047364,0.3910246,0.0063766693,0.00064707064,0.0004615676],"about_ca_topic_score_codex":0.00004442126,"about_ca_topic_score_gemma":0.000018898136,"teacher_disagreement_score":0.8701902,"about_ca_system_score_codex":0.00006405237,"about_ca_system_score_gemma":0.0000050375766,"threshold_uncertainty_score":0.5902402},"labels":[],"label_agreement":null},{"id":"W2016766135","doi":"10.1109/vetecf.2010.5594132","title":"User Scheduling for Network MIMO Systems with Successive Zero-Forcing Precoding","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Precoding; Greedy algorithm; Scheduling (production processes); MIMO; Algorithm; Dirty paper coding; Computational complexity theory; Mathematical optimization; Computer network; Mathematics","score_opus":0.007582022949295545,"score_gpt":0.21674510750806553,"score_spread":0.20916308455876997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016766135","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":[0.015388926,0.00015276078,0.97768545,0.000007947667,0.001543124,0.0007606299,0.00000333339,0.0006202058,0.003837602],"genre_scores_gemma":[0.80163217,0.0000043696054,0.1969305,0.000007727302,0.00048750502,0.0001636277,0.000012299801,0.00007918924,0.00068260805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990392,0.000007812846,0.00027405398,0.00021083585,0.00008655896,0.00038155532],"domain_scores_gemma":[0.9993379,0.00015790461,0.00007515601,0.00023331896,0.00011620108,0.000079526275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017231815,0.00018897478,0.00022420655,0.000057716836,0.00013459145,0.000104839695,0.00012364329,0.0001180456,0.000014306156],"category_scores_gemma":[0.000044037424,0.00016150832,0.000034458746,0.00017766406,0.000014446258,0.00045039513,0.000016278775,0.0001838033,0.0000070331703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008252173,0.000002466243,0.0010090446,0.0001533322,0.00003388267,8.028477e-7,0.000064239044,0.9915572,0.002665629,0.0040536993,0.0002324541,0.00021900864],"study_design_scores_gemma":[0.00043347036,0.000022550372,0.000012549971,0.00020634371,0.00002081085,0.000011404104,0.00012538947,0.99582684,0.0018492086,0.00006795275,0.0011423352,0.0002811699],"about_ca_topic_score_codex":0.000019073104,"about_ca_topic_score_gemma":0.000103657425,"teacher_disagreement_score":0.78624326,"about_ca_system_score_codex":0.000043973323,"about_ca_system_score_gemma":0.0000145406275,"threshold_uncertainty_score":0.65861183},"labels":[],"label_agreement":null},{"id":"W2017555231","doi":"10.1109/icc.2014.6883498","title":"User-satisfaction-based weighted SLNR beamforming in TD-LTE-A system","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Codebook; Beamforming; Computer science; User satisfaction; Precoding; Multi-user; Signal-to-noise ratio (imaging); Algorithm; Channel (broadcasting); Computer network; Telecommunications; MIMO","score_opus":0.004078098927376585,"score_gpt":0.1899088663817245,"score_spread":0.1858307674543479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017555231","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":[0.04208039,0.000025365756,0.9467391,0.000011122904,0.0004619943,0.00024819744,0.0000020658524,0.0009945547,0.009437253],"genre_scores_gemma":[0.9608628,0.0000019098645,0.038802464,0.000016810953,0.00006823159,0.000046062374,0.00001221013,0.000049087183,0.00014043738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991407,0.000028499804,0.00032976258,0.00016225253,0.00010734502,0.00023148891],"domain_scores_gemma":[0.99954265,0.00008626141,0.000040055947,0.00023816587,0.000035580586,0.00005727717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014688852,0.00015353435,0.00019857947,0.00018381076,0.000040215567,0.00002379502,0.00007190287,0.00009537866,0.000034899982],"category_scores_gemma":[0.00002171703,0.00015348084,0.00003129328,0.00027298598,0.000007763043,0.00025029102,0.000008139136,0.00010408342,0.000092138245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002905983,0.000004103035,0.0074781617,0.00019473785,0.0000066388375,0.0000011748892,0.000040421088,0.98638296,0.001406514,0.002335425,0.000081028986,0.002065912],"study_design_scores_gemma":[0.00048593662,0.000011670095,0.001044857,0.00013213098,0.000004740839,0.0000031740603,0.00010404537,0.9926454,0.004450503,0.00001590339,0.0009052916,0.00019636871],"about_ca_topic_score_codex":0.00017755409,"about_ca_topic_score_gemma":0.0004104728,"teacher_disagreement_score":0.9187824,"about_ca_system_score_codex":0.00027886443,"about_ca_system_score_gemma":0.000010168264,"threshold_uncertainty_score":0.6258767},"labels":[],"label_agreement":null},{"id":"W2017656194","doi":"10.1109/isabel.2008.4712590","title":"Application of Multitaper Analysis to wireless communications problems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Holland Bloorview Kids Rehabilitation Hospital; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multitaper; Computer science; Wireless; Wideband; Channel (broadcasting); MIMO; Precoding; Algorithm; Electronic engineering; Telecommunications; Engineering","score_opus":0.015446712484021023,"score_gpt":0.24129880549341487,"score_spread":0.22585209300939385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017656194","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":[0.011032382,0.000060723294,0.98430926,0.000027794442,0.000011881694,0.0002626612,0.0000043321193,0.00017960634,0.004111378],"genre_scores_gemma":[0.9167876,0.000058709193,0.08284897,0.000008982065,0.000005366803,0.00010144918,0.00003095349,0.000012225441,0.00014568571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995847,0.000008573069,0.00020315226,0.00007694748,0.000056524957,0.00007013061],"domain_scores_gemma":[0.9992588,0.00002360211,0.000026855878,0.00057527795,0.000081528706,0.0000338943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036640668,0.00005734656,0.00012744033,0.00014685426,0.00003626486,0.0000020875605,0.00016480123,0.00002994929,0.00001028312],"category_scores_gemma":[0.000005554364,0.00005875542,0.00003573366,0.0008150078,0.00001952837,0.00007691518,0.000025775918,0.000031673677,0.000029350083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.1784182e-7,0.000015275602,0.0031605575,0.000012144105,0.000078637866,2.7953016e-8,0.00038007236,0.98351353,0.011096413,0.0005666215,0.000056852597,0.0011194235],"study_design_scores_gemma":[0.00006958938,0.0000045844813,0.0020887186,0.0000034510963,0.00003767141,7.6513425e-7,0.00004509208,0.9943119,0.0024788592,0.000009703587,0.0008683257,0.00008133781],"about_ca_topic_score_codex":0.00008436422,"about_ca_topic_score_gemma":0.00018694649,"teacher_disagreement_score":0.9057553,"about_ca_system_score_codex":0.000032081552,"about_ca_system_score_gemma":0.0000033356803,"threshold_uncertainty_score":0.23959765},"labels":[],"label_agreement":null},{"id":"W2017685111","doi":"10.1109/twc.2014.2352259","title":"Downlink Spectral Efficiency of Distributed Antenna Systems Under a Stochastic Model","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spectral efficiency; Computer science; Transmission (telecommunications); Antenna (radio); Telecommunications link; Transmitter; Topology (electrical circuits); Poisson point process; Computer network; Mathematics; Telecommunications; Channel (broadcasting); Poisson distribution; Statistics","score_opus":0.01875495552289196,"score_gpt":0.24167512590487064,"score_spread":0.22292017038197867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017685111","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":[0.0067220414,0.0001498733,0.99141836,0.00006872316,0.00027095558,0.00039412823,0.000231393,0.0004462538,0.0002982611],"genre_scores_gemma":[0.99454224,0.00012624566,0.0050193626,0.0000074055074,0.000013899904,0.00014116893,0.000047802354,0.000051992673,0.00004985287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988255,0.000088995264,0.0005051636,0.00017592344,0.00015942226,0.0002449834],"domain_scores_gemma":[0.99795854,0.00023874402,0.000099494,0.0014747805,0.00014232681,0.000086134634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013989914,0.00020568793,0.00030075523,0.00019785046,0.0002283245,0.000025935198,0.000574016,0.00011479232,0.000004736333],"category_scores_gemma":[0.00000624549,0.00022311349,0.0000965574,0.00048353628,0.0001427043,0.00016392762,0.0000035773699,0.00032757747,0.000018658584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059250037,0.00013839807,9.430066e-7,0.000047926707,0.00003113101,3.9633203e-8,0.00016294482,0.99016523,0.005903391,0.0031367778,0.000008722325,0.00039858927],"study_design_scores_gemma":[0.00035084068,0.000033923654,0.000010522927,0.00013288556,0.00004549347,0.0000054995776,0.00013653077,0.9977061,0.001228837,0.00013897545,0.000007731252,0.00020262323],"about_ca_topic_score_codex":0.000032533608,"about_ca_topic_score_gemma":0.000058281148,"teacher_disagreement_score":0.9878202,"about_ca_system_score_codex":0.00015606411,"about_ca_system_score_gemma":0.00003156363,"threshold_uncertainty_score":0.9098304},"labels":[],"label_agreement":null},{"id":"W2017762214","doi":"10.1109/pimrc.2010.5671684","title":"The ergodic and outage capacities of distributed antenna systems in generalized-K fading channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"King Fahd University of Petroleum and Minerals","keywords":"Fading; Multipath propagation; Ergodic theory; Fading distribution; Probability density function; Antenna (radio); Computer science; Channel state information; Topology (electrical circuits); Wireless; Mathematics; Telecommunications; Electronic engineering; Statistics; Channel (broadcasting); Engineering; Rayleigh fading; Mathematical analysis; Combinatorics","score_opus":0.008348193020293541,"score_gpt":0.20365755072069325,"score_spread":0.1953093577003997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017762214","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":[0.6251598,0.0010258954,0.3717411,0.000017404369,0.0011504033,0.00028773877,0.000033917077,0.00014973279,0.00043402732],"genre_scores_gemma":[0.9990695,0.000111937894,0.00054653565,0.0000016832638,0.00004840016,0.00002514818,0.00000907098,0.000017058477,0.00017065812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994438,0.000016154658,0.00024301824,0.00008103327,0.000057991387,0.00015799874],"domain_scores_gemma":[0.9996978,0.0000629116,0.000035690453,0.00014249964,0.000032049258,0.00002907378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015387463,0.00009181682,0.00015154354,0.000054638254,0.000043145264,0.000030886924,0.00006959789,0.000060400565,0.0000031184247],"category_scores_gemma":[0.000033008855,0.000067261186,0.00001458077,0.000110787565,0.00006415506,0.00011816942,0.00001492181,0.000107068816,0.0000010321236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007990023,0.000007752893,0.0025232774,0.0002884545,0.000033192933,0.000004298235,0.0017327715,0.8200741,0.16032961,0.014511132,0.00015417776,0.00033323682],"study_design_scores_gemma":[0.00029503088,0.000008133629,0.00024009275,0.000058015223,0.0000038996577,0.000014317465,0.0014050152,0.99422586,0.003090966,0.000087563596,0.00044044678,0.00013064897],"about_ca_topic_score_codex":0.00015104107,"about_ca_topic_score_gemma":0.00020047529,"teacher_disagreement_score":0.3739097,"about_ca_system_score_codex":0.00001968231,"about_ca_system_score_gemma":0.000003848002,"threshold_uncertainty_score":0.27428317},"labels":[],"label_agreement":null},{"id":"W2019256558","doi":"10.1155/2011/675343","title":"Impact of Vehicular Array Position on Urban MIMO Channel Characteristics","year":2011,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Multipath propagation; MIMO; Channel (broadcasting); Transmitter; Antenna array; Antenna (radio); Vehicle-to-vehicle; Position (finance); Orientation (vector space); Antenna diversity; Delay spread; Computer science; Electronic engineering; Telecommunications; Engineering; Computer network","score_opus":0.01289926945052897,"score_gpt":0.235998941917465,"score_spread":0.22309967246693604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019256558","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":[0.7742998,0.00011998511,0.22436364,0.00002540407,0.00064732414,0.000092297756,0.000022673763,0.000017089109,0.0004118056],"genre_scores_gemma":[0.99847484,0.0001789037,0.0010749551,0.000009981519,0.00021873553,0.000001384228,0.000017280105,0.000014368497,0.0000095648975],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99930954,0.00001854408,0.00037186066,0.00005814989,0.00017269846,0.00006920521],"domain_scores_gemma":[0.99916226,0.000014379354,0.0002916598,0.000051684718,0.00043834382,0.00004166825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001261727,0.00009191629,0.0001410409,0.00018450557,0.000015760488,0.000016201464,0.0000864963,0.000046558584,0.000015850224],"category_scores_gemma":[0.000034552722,0.00007518932,0.00007159392,0.000053836666,0.000019721858,0.00029624347,0.0000053464228,0.00009439245,0.0000018304929],"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":[0.0022445803,0.0007162904,0.04516915,0.00026227592,0.0017716163,0.0001895136,0.01161793,0.056297738,0.85125214,0.0026396175,0.0005383185,0.027300853],"study_design_scores_gemma":[0.0042992756,0.0047029117,0.5707195,0.0026280147,0.00022623035,0.0014107096,0.00051463203,0.21332563,0.19783852,0.0032031792,0.00016124154,0.0009701452],"about_ca_topic_score_codex":0.000006738803,"about_ca_topic_score_gemma":4.36426e-7,"teacher_disagreement_score":0.6534136,"about_ca_system_score_codex":0.00007708824,"about_ca_system_score_gemma":0.000015958189,"threshold_uncertainty_score":0.30661315},"labels":[],"label_agreement":null},{"id":"W2019496522","doi":"10.1109/vetecs.2012.6240324","title":"Sum Rate of p-Sphere Encoding for MIMO Broadcast Channels with Reduced Peak Power","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Precoding; Mathematics; Norm (philosophy); Encoder; Transmitter; Perturbation (astronomy); Minification; Encoding (memory); Topology (electrical circuits); Algorithm; Computer science; Control theory (sociology); Mathematical optimization; Channel (broadcasting); Combinatorics; Telecommunications; Physics; Statistics","score_opus":0.013842625290774756,"score_gpt":0.22889216223987022,"score_spread":0.21504953694909545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019496522","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":[0.074053325,0.00040376716,0.9022835,0.000019353667,0.0007110665,0.00058398,0.000010357172,0.0002764547,0.021658221],"genre_scores_gemma":[0.98071325,0.000009636544,0.017712623,0.000008650041,0.00010798445,0.000045317727,0.000009119851,0.000053395685,0.0013400394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937767,0.000009887939,0.00019281746,0.00009866675,0.00004762222,0.00027332865],"domain_scores_gemma":[0.99960804,0.000041191797,0.000050365605,0.00016253529,0.00007327393,0.00006456757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012143541,0.00012887496,0.00017444039,0.00004084339,0.000027109545,0.000009528565,0.00006331228,0.000054079115,0.000090223286],"category_scores_gemma":[0.00002125041,0.00010920459,0.00003224259,0.00012220946,0.000012863704,0.00034104855,0.000010443738,0.000043798882,0.000009338367],"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":[0.000055205004,0.00004069781,0.00032804583,0.00032741096,0.0000906391,5.993081e-7,0.0018505262,0.7290043,0.26372817,0.0018925429,0.0018929562,0.0007889035],"study_design_scores_gemma":[0.002851907,0.00029770227,0.00041751232,0.00045486726,0.00007893564,0.00003114109,0.003304866,0.12154138,0.85553753,0.000085414016,0.014237089,0.0011616256],"about_ca_topic_score_codex":0.000008484603,"about_ca_topic_score_gemma":0.0000045436036,"teacher_disagreement_score":0.9066599,"about_ca_system_score_codex":0.000037383652,"about_ca_system_score_gemma":0.000007421975,"threshold_uncertainty_score":0.4453234},"labels":[],"label_agreement":null},{"id":"W2019529936","doi":"10.1109/bsc.2010.5472951","title":"SMSE precoder design in a multiuser MISO system with limited feedback","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Quantization (signal processing); Telecommunications link; Transmitter; Vector quantization; Channel state information; Transceiver; Mean squared error; Bit error rate; Precoding; Computer science; Mathematics; Constraint (computer-aided design); Control theory (sociology); Algorithm; MIMO; Codebook; Signal-to-noise ratio (imaging); Channel (broadcasting); Minimum mean square error; Mathematical optimization; Telecommunications; Statistics; Wireless; Artificial intelligence","score_opus":0.009576968869463572,"score_gpt":0.19387292218592583,"score_spread":0.18429595331646226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019529936","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":[0.03613435,0.000025536254,0.9559632,0.000008712979,0.00023666436,0.00057116663,0.0000014084773,0.0007430896,0.006315859],"genre_scores_gemma":[0.814698,0.000002028481,0.18446636,0.0000066615,0.00003327636,0.00007412597,0.0000034713646,0.000054860106,0.0006612389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993052,0.000022823218,0.0002117988,0.00016820607,0.00007596062,0.00021601185],"domain_scores_gemma":[0.9995431,0.00005821214,0.000026313475,0.0002603447,0.000050472034,0.00006157002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011049833,0.00015326636,0.00016243773,0.00010252462,0.000019322788,0.000025520098,0.00009125988,0.000111232875,0.000046127607],"category_scores_gemma":[0.000019808385,0.00012633535,0.000015122609,0.00024009577,0.000012338866,0.00021862394,0.000009190004,0.00017957047,0.000076852346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018829474,0.0000138754285,0.00091949815,0.000102486534,0.000013353151,0.0000067990604,0.0002652888,0.9880075,0.0099724205,0.00013273898,0.00017976078,0.00036744794],"study_design_scores_gemma":[0.00083386316,0.000021427473,0.0005023867,0.00009793727,0.0000055474766,0.000024337298,0.00022031735,0.99037033,0.0074817752,0.000002710728,0.00021463828,0.00022474748],"about_ca_topic_score_codex":0.00004315924,"about_ca_topic_score_gemma":0.00056801864,"teacher_disagreement_score":0.7785636,"about_ca_system_score_codex":0.000065114844,"about_ca_system_score_gemma":0.0000114083205,"threshold_uncertainty_score":0.5151806},"labels":[],"label_agreement":null},{"id":"W2019606325","doi":"10.1109/glocom.2013.6831362","title":"Sparse beamforming for limited-backhaul network MIMO system via reweighted power minimization","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Beamforming; Computer science; Transmitter power output; MIMO; Telecommunications link; Cluster analysis; Base station; Baseband; Minification; Compressed sensing; Mathematical optimization; Computer network; Algorithm; Transmitter; Mathematics; Artificial intelligence; Telecommunications; Bandwidth (computing)","score_opus":0.007286078978466738,"score_gpt":0.19150675993891508,"score_spread":0.18422068096044836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019606325","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":[0.002319948,0.00019306994,0.98403,0.000027169446,0.0011078292,0.0014702439,0.0000054183533,0.0013398926,0.009506401],"genre_scores_gemma":[0.66437143,0.000016868476,0.33284476,0.000062219086,0.00041374518,0.00049672247,0.0001465235,0.000158626,0.0014890841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998622,0.000019564422,0.00052122265,0.00025455214,0.00011815997,0.0004644709],"domain_scores_gemma":[0.9991316,0.00009523194,0.00009783145,0.00034262583,0.00021788104,0.00011478481],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010951879,0.00025502872,0.00028373676,0.00010539971,0.00011477792,0.00006626465,0.0001349793,0.00018170995,0.00011968323],"category_scores_gemma":[0.000027846267,0.00024606215,0.00007640112,0.00035168475,0.00001360675,0.000598481,0.000022318038,0.00008197845,0.00020129899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065282093,0.000008672116,0.0000820298,0.00018922867,0.000041629493,6.5426826e-7,0.00009135061,0.9804752,0.0009776729,0.0011196893,0.015951317,0.0010560156],"study_design_scores_gemma":[0.00044443153,0.000037274134,0.000038685434,0.00013351004,0.000022860366,0.000012885006,0.00018348295,0.99329484,0.0012638051,0.00014778438,0.00408958,0.00033083744],"about_ca_topic_score_codex":0.000015283977,"about_ca_topic_score_gemma":0.00000962244,"teacher_disagreement_score":0.6620515,"about_ca_system_score_codex":0.00018733545,"about_ca_system_score_gemma":0.000009458379,"threshold_uncertainty_score":0.99999917},"labels":[],"label_agreement":null},{"id":"W2019798259","doi":"10.1002/ett.2726","title":"Energy‐efficient cross‐layer design of dynamic rate and power allocation techniques for cognitive green radio networks","year":2013,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Partially observable Markov decision process; Computer science; Markov decision process; Fading; Transmitter; Energy consumption; Scheduling (production processes); Channel (broadcasting); Markov process; Mathematical optimization; Real-time computing; Computer network; Telecommunications; Wireless; Mathematics; Statistics; Engineering","score_opus":0.01301484341712432,"score_gpt":0.25682549183917563,"score_spread":0.2438106484220513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019798259","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":[0.002379758,0.0010053293,0.99302447,0.00029796566,0.000050464383,0.0009782317,0.000017037564,0.0021372128,0.00010954121],"genre_scores_gemma":[0.86297053,0.0016958228,0.13359168,0.00000853219,0.0000021468404,0.0015914001,0.0000219615,0.0000493275,0.00006859506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990353,0.00005365603,0.0004067207,0.00021151699,0.00006134647,0.00023148976],"domain_scores_gemma":[0.9985751,0.0003952693,0.00011646037,0.00063219375,0.0002580834,0.00002290148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018104605,0.00020907291,0.00021999584,0.0004184509,0.00027817886,0.000034738572,0.00032955804,0.00020989426,0.000013198358],"category_scores_gemma":[0.000039606366,0.00022229958,0.000054342727,0.0004895893,0.00021511056,0.0002323958,0.000013945616,0.00022741867,0.0000021557646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000116780475,0.000061697625,0.000004478925,0.000028384999,0.00007623027,4.6339427e-8,0.00013388813,0.8828013,0.005518406,0.00038917208,0.000028151493,0.11094658],"study_design_scores_gemma":[0.00024610065,0.000089342684,0.000067635534,0.00010810521,0.000037346497,0.0000031813563,0.0006610106,0.96644557,0.031226639,0.0007809035,0.00009670181,0.00023745657],"about_ca_topic_score_codex":0.000041944353,"about_ca_topic_score_gemma":0.000015998492,"teacher_disagreement_score":0.86059076,"about_ca_system_score_codex":0.000104655795,"about_ca_system_score_gemma":0.000013308193,"threshold_uncertainty_score":0.90651137},"labels":[],"label_agreement":null},{"id":"W2020608111","doi":"10.1109/pimrc.2011.6139690","title":"Throughput-based incentives for residential femtocells","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Femtocell; Throughput; Computer science; Incentive; Macro; Computer network; Heuristic; Femto-; Base station; Wireless; Microeconomics; Economics; Telecommunications","score_opus":0.027676671940397714,"score_gpt":0.23052033108141856,"score_spread":0.20284365914102084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020608111","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":[0.0014252918,0.00006189793,0.9767631,0.000004770488,0.00035377045,0.00034612053,0.000005097556,0.00039015012,0.020649802],"genre_scores_gemma":[0.82372797,0.000005537619,0.17548011,0.000020419668,0.00006811135,0.000059148166,0.000010357786,0.000034422475,0.000593911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956036,0.000006283163,0.00014060315,0.00010591041,0.000042468106,0.00014438115],"domain_scores_gemma":[0.9997575,0.000023625413,0.000019405901,0.00013332308,0.000038071783,0.000028047263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004620547,0.000084028434,0.00008732138,0.000040220908,0.000030304493,0.000009889396,0.00007237499,0.00004465392,0.00014787362],"category_scores_gemma":[0.000011930443,0.0000828572,0.000036871188,0.00006805547,0.000014173672,0.00016332846,0.000007274347,0.000028043394,0.00003822879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024427258,0.00018122459,0.0020580515,0.0009368264,0.0001932534,0.000009542905,0.0030056543,0.8910128,0.03981624,0.026435513,0.029129753,0.0069768988],"study_design_scores_gemma":[0.0017790563,0.00009456514,0.0005164017,0.00005774424,0.000031623138,0.0000014046195,0.00029606262,0.4884739,0.5016952,0.0022408166,0.0042914143,0.0005218065],"about_ca_topic_score_codex":0.000014720621,"about_ca_topic_score_gemma":0.00002058135,"teacher_disagreement_score":0.8223027,"about_ca_system_score_codex":0.000028734274,"about_ca_system_score_gemma":0.000007692511,"threshold_uncertainty_score":0.33788186},"labels":[],"label_agreement":null},{"id":"W2020660916","doi":"10.1109/qbsc.2014.6841177","title":"Outage probability for a sector of circular cell based on path loss threshold","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Outage probability; Path loss; Path (computing); Term (time); Computer science; Cellular radio; Mathematical optimization; Order (exchange); Coverage probability; Control theory (sociology); Topology (electrical circuits); Telecommunications; Statistics; Mathematics; Fading; Physics; Decoding methods; Computer network; Base station; Wireless; Combinatorics; Artificial intelligence","score_opus":0.01085185760730557,"score_gpt":0.19862048961274778,"score_spread":0.18776863200544222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020660916","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":[0.024912532,0.000010308113,0.9685791,0.0000070601222,0.00011251943,0.00059795345,0.000016880487,0.00018652577,0.005577116],"genre_scores_gemma":[0.9648949,4.0952978e-7,0.034864668,0.000019500036,0.000033866596,0.00006373294,0.00001282283,0.00003077051,0.00007931508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994427,0.000011615891,0.0001902697,0.00014535054,0.000076989796,0.00013305724],"domain_scores_gemma":[0.9995077,0.000065963446,0.00003322496,0.00030706823,0.000050815495,0.000035221918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016264894,0.00010263256,0.0001571212,0.000034939134,0.000014737225,0.0000055916585,0.0000695444,0.000059230133,0.000029105138],"category_scores_gemma":[0.00003860603,0.00009358433,0.000057544545,0.00006546192,0.00001178879,0.000050134466,0.000005243877,0.00004154345,0.0000066831058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008376234,0.0000338275,0.0008743935,0.0006405482,0.000003451262,1.3769298e-7,0.000033554064,0.9924834,0.0052033057,0.00059002417,0.000055377102,0.00007360971],"study_design_scores_gemma":[0.00052396086,0.000072773386,0.00007404139,0.000026177378,0.0000056974013,1.3147299e-7,0.0000067188453,0.96334904,0.034926604,0.00058380014,0.00031764194,0.00011341623],"about_ca_topic_score_codex":0.000002529916,"about_ca_topic_score_gemma":0.0000035675996,"teacher_disagreement_score":0.93998235,"about_ca_system_score_codex":0.00004831423,"about_ca_system_score_gemma":0.000007642714,"threshold_uncertainty_score":0.3816258},"labels":[],"label_agreement":null},{"id":"W2020828165","doi":"10.1016/j.comnet.2013.06.017","title":"Media access protocol for a coexisting cognitive femtocell network","year":2013,"lang":"en","type":"article","venue":"Computer Networks","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":"University of Waterloo","funders":"","keywords":"Femtocell; Computer science; Computer network; Access control; Protocol (science); Media access control; Cognitive radio; Cellular network; Distributed computing; Base station; Telecommunications; Wireless","score_opus":0.034096135636972544,"score_gpt":0.2886395412270805,"score_spread":0.25454340559010796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020828165","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":[0.000032792766,0.000028862956,0.9018137,0.0000064276496,0.0007240262,0.09567652,0.0000022862298,0.0005493688,0.0011660018],"genre_scores_gemma":[0.09251033,0.0000034377103,0.16243728,0.0002790851,0.00860233,0.7357516,0.00011395748,0.00021282944,0.00008913574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875575,0.000029087523,0.00034699458,0.0002539354,0.0000782353,0.00053601986],"domain_scores_gemma":[0.9989747,0.0004670588,0.00009140098,0.00017051047,0.00018773778,0.000108591805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001252607,0.00023085221,0.00026064445,0.0000396448,0.000117304015,0.00019168516,0.00024234991,0.00013261136,0.000044353517],"category_scores_gemma":[0.000018743642,0.0002333412,0.00006130785,0.00023302717,0.000026304213,0.0005050173,0.00011249596,0.0001690367,0.000029477102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009607674,0.000008260549,0.00022297681,0.00009750222,0.0000244924,0.0000010717129,0.00006020787,0.9397165,0.0000010182915,0.00007725986,0.022973493,0.036807563],"study_design_scores_gemma":[0.00096758915,0.000030032357,0.00030310467,0.00032740587,0.000008763068,0.0000036824763,0.000006179781,0.99541265,0.000014006553,0.00034192146,0.0023159555,0.00026870202],"about_ca_topic_score_codex":0.0000036045462,"about_ca_topic_score_gemma":0.0000049902537,"teacher_disagreement_score":0.7393764,"about_ca_system_score_codex":0.000046797893,"about_ca_system_score_gemma":0.000009338794,"threshold_uncertainty_score":0.9515378},"labels":[],"label_agreement":null},{"id":"W2020945326","doi":"10.1109/glocomw.2013.6825045","title":"D2D neighbor discovery interference management for LTE systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"InterDigital (Canada)","funders":"","keywords":"Computer science; Interference (communication); Neighbor Discovery Protocol; Software deployment; Computer network; Enhanced Data Rates for GSM Evolution; Telecommunications; World Wide Web; Software engineering","score_opus":0.008676984707330531,"score_gpt":0.20580116714839336,"score_spread":0.19712418244106283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020945326","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":[0.00087277807,0.0001076449,0.9695756,0.000016440643,0.00069076073,0.0009945967,0.0000056620456,0.00032920286,0.027407356],"genre_scores_gemma":[0.97565496,0.000042496853,0.016167384,0.000014643278,0.00007785348,0.00069929985,0.000013564425,0.00003573211,0.0072940653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994325,0.000005222384,0.00020288274,0.00013111462,0.000048435384,0.00017985745],"domain_scores_gemma":[0.9996847,0.000026573893,0.000022305168,0.00019548519,0.00003545951,0.000035490124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035808476,0.00011176515,0.00011777039,0.000062359395,0.000022369359,0.000117237956,0.00010569206,0.00003315897,0.00003540726],"category_scores_gemma":[0.0000033880299,0.00009750107,0.000028356913,0.00007795801,0.0000066618436,0.0005905467,0.000024684728,0.000030767304,0.00013067169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055271566,0.00001889895,0.000073906085,0.0010866143,0.00011569306,0.0000011899574,0.000104520404,0.90801793,0.002372924,0.06598102,0.011643534,0.010578256],"study_design_scores_gemma":[0.0002414834,0.000025789946,0.0000506966,0.00011440611,0.000012392756,0.0000020441382,0.00042350346,0.99494505,0.0010462771,0.00050238945,0.0024005477,0.00023544152],"about_ca_topic_score_codex":0.000028937817,"about_ca_topic_score_gemma":0.000004326464,"teacher_disagreement_score":0.97478217,"about_ca_system_score_codex":0.000065951404,"about_ca_system_score_gemma":0.0000016389492,"threshold_uncertainty_score":0.39759782},"labels":[],"label_agreement":null},{"id":"W2021152755","doi":"10.1109/pimrc.2011.6139833","title":"MSE-based orthogonal beamformer design for interference alignment in a MU-MIMO cellular network","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Orthogonality; MIMO; Telecommunications link; Interference (communication); Mean squared error; Beamforming; Convergence (economics); Cellular network; Computer science; Transmitter power output; Minimum mean square error; Algorithm; Degrees of freedom (physics and chemistry); Antenna (radio); Constraint (computer-aided design); Power (physics); Mathematical optimization; Mathematics; Telecommunications; Transmitter; Statistics; Estimator","score_opus":0.03638421410253688,"score_gpt":0.2149015134583431,"score_spread":0.17851729935580624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021152755","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":[0.0016198694,0.00009201435,0.99426293,0.00000425401,0.00025395554,0.0006663229,0.000003547675,0.00017968004,0.002917427],"genre_scores_gemma":[0.6626577,0.000003003263,0.33683085,0.000029948613,0.00004389232,0.00021020827,0.000018185941,0.000032412318,0.00017381377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913245,0.000020738986,0.0002970537,0.00017144824,0.00006381642,0.00031447713],"domain_scores_gemma":[0.9996437,0.000060977967,0.000034408262,0.00017425464,0.00003099494,0.00005570112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019635537,0.00015704294,0.00016497182,0.0000671974,0.000024658915,0.00000987729,0.00011333999,0.000074526855,0.00018958849],"category_scores_gemma":[0.00001178985,0.00015176383,0.000041277217,0.00014192602,0.000013186353,0.00012537693,0.0000124957805,0.00006492072,0.000023489942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004047444,0.000022588987,0.0005260769,0.0000446229,0.0000128687525,0.0000015462151,0.00015950901,0.9950971,0.0020696395,0.0010108816,0.00046079286,0.0005538998],"study_design_scores_gemma":[0.00082143844,0.00013227387,0.00010760859,0.00011757623,0.000012646737,0.0000011801271,0.00006902243,0.95653415,0.040147893,0.0009996837,0.00071723707,0.00033931612],"about_ca_topic_score_codex":0.0000133663225,"about_ca_topic_score_gemma":0.00006068628,"teacher_disagreement_score":0.6610378,"about_ca_system_score_codex":0.00009490751,"about_ca_system_score_gemma":0.000019563216,"threshold_uncertainty_score":0.61887497},"labels":[],"label_agreement":null},{"id":"W2021476517","doi":"10.1109/icc.2010.5501911","title":"BEM-Based Limited Feedback for Precoding and Scheduling over Doubly Selective Multiuser MISO Downlink Channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Computer science; Telecommunications link; Channel state information; Orthogonal frequency-division multiplexing; MIMO; Scheduling (production processes); Subcarrier; Control theory (sociology); Quantization (signal processing); Transmitter; Algorithm; Channel (broadcasting); Mathematics; Mathematical optimization; Telecommunications; Wireless","score_opus":0.011594847477992864,"score_gpt":0.2373704536739624,"score_spread":0.22577560619596954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021476517","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":[0.22665016,0.000055399963,0.7705517,0.000042174088,0.00067159726,0.00081242056,0.00001301132,0.000541833,0.00066169497],"genre_scores_gemma":[0.81288624,0.000005360683,0.18651725,0.000039401435,0.00018792879,0.00010016589,0.000024978894,0.00006174395,0.0001769508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913555,0.000008449717,0.00023122907,0.000262929,0.000069131485,0.00029270587],"domain_scores_gemma":[0.99939156,0.00016802287,0.000047182195,0.00016729621,0.00013320829,0.00009275023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012329832,0.00020144715,0.00019673166,0.0001244514,0.00009439279,0.00006382461,0.00007402773,0.00017847668,0.000031602667],"category_scores_gemma":[0.000091021495,0.00020045399,0.000045301524,0.00017332472,0.000020628042,0.0003056138,0.000014923211,0.00020632603,0.000007133358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032214353,0.000016548383,0.00063042704,0.0001383845,0.000038654656,3.4402893e-7,0.00026727087,0.9091044,0.08832515,0.00014273175,0.0001184539,0.001185412],"study_design_scores_gemma":[0.0014785575,0.00002820792,0.00019129856,0.00004128839,0.000015889507,0.000002030365,0.000034156103,0.9240907,0.07337232,0.000058165722,0.00042468932,0.0002627392],"about_ca_topic_score_codex":0.0000129291675,"about_ca_topic_score_gemma":0.00006808124,"teacher_disagreement_score":0.58623606,"about_ca_system_score_codex":0.00004564464,"about_ca_system_score_gemma":0.000014573657,"threshold_uncertainty_score":0.81742764},"labels":[],"label_agreement":null},{"id":"W2022601383","doi":"10.1109/globalsip.2014.7032088","title":"Device-to-device cluster assisted downlink video sharing — A base station energy saving approach","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications link; Base station; Computer science; Energy consumption; Computer network; Real-time computing; Cellular network; Merge (version control); Cluster (spacecraft); Transmission (telecommunications); Telecommunications; Electrical engineering; Engineering","score_opus":0.02087906121965685,"score_gpt":0.24061821422030122,"score_spread":0.21973915300064437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022601383","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":[0.0065041827,0.00005723781,0.9720508,0.000051323987,0.0002572445,0.00029592443,0.00000563529,0.0009075391,0.019870104],"genre_scores_gemma":[0.65358526,0.000006449299,0.34357405,0.00043833916,0.00022168715,0.00012937881,0.00019096289,0.00010960105,0.0017442694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832314,0.000068069785,0.000518672,0.00046144778,0.00021695887,0.00041168975],"domain_scores_gemma":[0.9989135,0.00013389793,0.00008362863,0.0005341517,0.00014019353,0.00019457376],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037392194,0.00029706888,0.00029718317,0.0002531172,0.0001066173,0.000121147474,0.00023295156,0.00014715306,0.0000748841],"category_scores_gemma":[0.00014523453,0.0003028445,0.000061018087,0.00046246103,0.000010829992,0.000515765,0.000089978435,0.00014534895,0.0001718021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009947851,0.00001966927,0.00017905695,0.00017259421,0.000028480044,2.563396e-7,0.00028686147,0.97892034,0.009846305,0.0008656948,0.0007730142,0.008897768],"study_design_scores_gemma":[0.0005659606,0.000015369915,0.00045121726,0.00010576014,0.000027940212,0.000011056556,0.000093224546,0.9755385,0.0009202119,0.000066003304,0.021717962,0.0004867821],"about_ca_topic_score_codex":0.00022853674,"about_ca_topic_score_gemma":0.0007856513,"teacher_disagreement_score":0.6470811,"about_ca_system_score_codex":0.00022637041,"about_ca_system_score_gemma":0.000012033671,"threshold_uncertainty_score":0.99994236},"labels":[],"label_agreement":null},{"id":"W2023021815","doi":"10.1109/icc.2012.6364406","title":"Dynamic cooperation link selection for network MIMO systems with limited backhaul capacity","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Telecommunications link; Computer science; Precoding; Computer network; Base station; MIMO; Spectral efficiency; Multi-user MIMO; Cellular network; Zero-forcing precoding; Channel (broadcasting)","score_opus":0.010856551435259687,"score_gpt":0.20571092335111615,"score_spread":0.19485437191585647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023021815","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":[0.011130691,0.0002903925,0.98501766,0.000014174233,0.00084635866,0.00088409195,0.000005487003,0.00066299917,0.00114813],"genre_scores_gemma":[0.9347603,0.000016869964,0.0637546,0.000013728133,0.00048455232,0.00020359665,0.00009148502,0.00006364807,0.00061126135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992052,0.000025256966,0.00022685077,0.00012834823,0.00007098231,0.0003433999],"domain_scores_gemma":[0.99954575,0.000048743917,0.000046530113,0.00012937901,0.0001536074,0.00007598172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016590777,0.00015964074,0.00016794141,0.000051486462,0.00010340632,0.000041983185,0.00004250778,0.00011937636,0.000010329337],"category_scores_gemma":[0.000016068765,0.00014029583,0.000022666134,0.00029784782,0.00000989307,0.00049789145,0.000004256953,0.00008757247,0.000020569412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012451633,0.000007772307,0.0007357209,0.000107382104,0.00003250016,2.9379995e-8,0.000065424465,0.9958725,0.0012461225,0.0009375593,0.0007283161,0.00025421023],"study_design_scores_gemma":[0.00033106902,0.000053894433,0.0001395083,0.000050399,0.000022991673,0.000016450625,0.000032287855,0.996049,0.00045206142,0.0000057329808,0.002644003,0.00020259386],"about_ca_topic_score_codex":0.000022741657,"about_ca_topic_score_gemma":0.000154795,"teacher_disagreement_score":0.9236296,"about_ca_system_score_codex":0.00019606936,"about_ca_system_score_gemma":0.000008635347,"threshold_uncertainty_score":0.57210976},"labels":[],"label_agreement":null},{"id":"W2023182288","doi":"10.1109/tsp.2013.2253770","title":"On MMSE Vector-Perturbation Precoding for MIMO Broadcast Channels With Per-Antenna-Group Power Constraints","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; MIMO; Mathematics; Mean squared error; Control theory (sociology); Norm (philosophy); Minimum mean square error; Zero-forcing precoding; Algorithm; Topology (electrical circuits); Mathematical optimization; Computer science; Combinatorics; Statistics; Beamforming","score_opus":0.012695630205296266,"score_gpt":0.22029336462778817,"score_spread":0.2075977344224919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023182288","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":[0.009407636,0.00008132959,0.98795664,0.000046338202,0.00038706293,0.00100247,0.000023233486,0.000473901,0.0006214016],"genre_scores_gemma":[0.98997307,0.0000067637197,0.0090379305,0.000061356746,0.000078460755,0.00046940602,0.000010274704,0.00011172335,0.00025100328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987005,0.00002389494,0.00033349005,0.00035828177,0.00020016801,0.00038365234],"domain_scores_gemma":[0.99930435,0.00014224586,0.0000900537,0.00015110389,0.00019919008,0.00011304813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000096898555,0.00031733312,0.0002520384,0.00022453033,0.00030503026,0.00017204508,0.00010497661,0.00013558075,0.00023008932],"category_scores_gemma":[0.000005243045,0.00029023754,0.000075757205,0.00024230499,0.000071269395,0.0008478925,4.900066e-7,0.00025307637,0.000054886328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009031276,0.00008765281,0.0000016998466,0.00022612054,0.000053677373,0.0000013126049,0.0009282286,0.9005058,0.039341617,0.000032565003,0.00003721156,0.058693815],"study_design_scores_gemma":[0.001428062,0.00055756303,0.000010772954,0.0009821855,0.000058233138,0.000039878956,0.000642629,0.95700264,0.03833017,0.00021664539,0.000084060324,0.0006471676],"about_ca_topic_score_codex":0.0000043787654,"about_ca_topic_score_gemma":0.0000036683803,"teacher_disagreement_score":0.9805654,"about_ca_system_score_codex":0.00018118824,"about_ca_system_score_gemma":0.000030815092,"threshold_uncertainty_score":0.999955},"labels":[],"label_agreement":null},{"id":"W2023381350","doi":"10.1109/lwc.2015.2402126","title":"Resource Provisioning in Wireless Virtualized Networks via Massive-MIMO","year":2015,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Computer science; Provisioning; Base station; Computer network; Wireless network; Resource allocation; Wireless; Femtocell; MIMO; Geometric programming; Orthogonal frequency-division multiple access; Distributed computing; Mathematical optimization; Channel (broadcasting); Orthogonal frequency-division multiplexing; Telecommunications; Mathematics","score_opus":0.02093999804864105,"score_gpt":0.24867261659646933,"score_spread":0.22773261854782828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023381350","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":[0.097806826,0.0006697471,0.8967974,0.0014299029,0.0004057026,0.00065363117,0.0000056883882,0.00072638126,0.0015046855],"genre_scores_gemma":[0.9882433,0.0001572495,0.010661978,0.00034764296,0.000088966204,0.00024927588,0.00009915035,0.0001113536,0.00004112175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981965,0.00029353832,0.00061863894,0.00026825766,0.00020628732,0.00041681598],"domain_scores_gemma":[0.9975632,0.0002316389,0.00014384478,0.0018240907,0.00008434461,0.00015292673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040518955,0.00027667423,0.00035839164,0.00027119744,0.00015062605,0.00007198661,0.0010646565,0.00015431055,0.000003041824],"category_scores_gemma":[0.000030160703,0.00032050262,0.000060756887,0.0007334973,0.00014774347,0.00041223312,0.00015806283,0.0005571093,0.00003371037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014281291,0.00003592951,0.00041340993,0.000019941912,0.000023326973,0.0000057336574,0.0008755246,0.9797428,0.008657179,0.000350319,0.0021085246,0.007752988],"study_design_scores_gemma":[0.00094460975,0.0000122087595,0.00006681341,0.00019259675,0.000011450703,0.000008572081,0.0003582149,0.9937944,0.00067594036,0.000023129274,0.003533722,0.0003783694],"about_ca_topic_score_codex":0.00008172346,"about_ca_topic_score_gemma":0.00013344787,"teacher_disagreement_score":0.8904364,"about_ca_system_score_codex":0.00041775033,"about_ca_system_score_gemma":0.000027380074,"threshold_uncertainty_score":0.9999247},"labels":[],"label_agreement":null},{"id":"W2024144578","doi":"10.1155/2014/387436","title":"An Improved Multicell MMSE Channel Estimation in a Massive MIMO System","year":2014,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"MIMO; Fading; Channel (broadcasting); Computer science; Interference (communication); Spectral efficiency; Electronic engineering; Throughput; Precoding; 3G MIMO; Joint (building); Wireless; Telecommunications; Engineering","score_opus":0.005495236488602684,"score_gpt":0.22793800091351635,"score_spread":0.22244276442491367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024144578","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":[0.12413456,0.00009905881,0.8745881,0.0000889333,0.0007694086,0.00014549645,0.000004595382,0.00003952058,0.00013035936],"genre_scores_gemma":[0.9909999,0.000044890538,0.008687384,0.000014123062,0.00020924894,0.000005892866,0.000013467394,0.000017343218,0.0000078008325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991643,0.000049590682,0.00044566937,0.00009023772,0.00015840176,0.00009180563],"domain_scores_gemma":[0.99924064,0.00003573031,0.00024132649,0.00006382272,0.00036220293,0.000056300258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034689056,0.00010001845,0.00014596063,0.00025764175,0.000021136815,0.000063642256,0.00011531025,0.0000589496,0.0000019411962],"category_scores_gemma":[0.00008080348,0.00009089324,0.000026955619,0.00007700017,0.000014680448,0.00070642517,0.000008210679,0.000115642164,0.0000020247442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110050234,0.00004232322,0.00024402884,0.00010941767,0.00004281891,0.00001609566,0.0008454871,0.9203161,0.05895281,0.0005905719,0.000008724717,0.018721553],"study_design_scores_gemma":[0.0008071986,0.000105336636,0.0005724446,0.00027203019,0.000008922647,0.00006229832,0.0002724968,0.99379134,0.0038216158,0.00016789377,0.000025441717,0.00009298387],"about_ca_topic_score_codex":0.000012529226,"about_ca_topic_score_gemma":0.000010157014,"teacher_disagreement_score":0.8668653,"about_ca_system_score_codex":0.00014366639,"about_ca_system_score_gemma":0.0000137653615,"threshold_uncertainty_score":0.3706519},"labels":[],"label_agreement":null},{"id":"W2024925628","doi":"10.1109/mwc.2014.6845057","title":"Green radio communications in a heterogeneous wireless medium","year":2014,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Telecommunications link; Computer network; Base station; Wireless network; Telecommunications; Wireless; Radio resource management; Mobile telephony; Fading; Bandwidth (computing); Cellular network; Efficient energy use; Quality of service; Mobile radio; Electrical engineering; Channel (broadcasting); Engineering","score_opus":0.024225082600333153,"score_gpt":0.2625001041345688,"score_spread":0.23827502153423566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024925628","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":[0.16688517,0.005564604,0.7908162,0.0040632845,0.0014172569,0.0024967347,0.00013521069,0.003601244,0.02502031],"genre_scores_gemma":[0.98514825,0.0018884679,0.012047422,0.00007153638,0.00006567611,0.00043031105,0.00013416815,0.00010481646,0.00010932402],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982225,0.00033659546,0.0006662914,0.00023472037,0.00016224262,0.0003777033],"domain_scores_gemma":[0.99407196,0.0004504065,0.000120211706,0.0051112585,0.00011621383,0.0001299334],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033627494,0.00026934728,0.00038423584,0.0002712417,0.00026688233,0.000048106653,0.0026181731,0.00017577437,0.000009269019],"category_scores_gemma":[0.000029938348,0.00032244797,0.00008069533,0.00063520117,0.0002668028,0.00029438522,0.0002907971,0.0005040813,0.00009781613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002511126,0.00082716567,0.0063197277,0.0004299805,0.00028978247,0.000006978745,0.008038021,0.8203454,0.040886305,0.027396595,0.0011609056,0.09427403],"study_design_scores_gemma":[0.00060227606,0.000018900297,0.00040678252,0.00015180958,0.000020914847,0.000025886739,0.0001234416,0.98720205,0.0016841221,0.00043889112,0.008895869,0.00042904032],"about_ca_topic_score_codex":0.0002455477,"about_ca_topic_score_gemma":0.0036152648,"teacher_disagreement_score":0.8182631,"about_ca_system_score_codex":0.00024813844,"about_ca_system_score_gemma":0.000036507194,"threshold_uncertainty_score":0.99992275},"labels":[],"label_agreement":null},{"id":"W2025430107","doi":"10.1109/glocom.2012.6503946","title":"Dynamic operation of BSs in green wireless cellular networks powered by the smart grid","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stackelberg competition; Smart grid; Cellular network; Computer science; Wireless; Wireless network; Efficient energy use; Computer network; Distributed computing; Telecommunications; Engineering; Mathematics; Electrical engineering","score_opus":0.004203026992467361,"score_gpt":0.1917538188374148,"score_spread":0.18755079184494744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025430107","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":[0.09447445,0.0010535371,0.9019066,0.00002533098,0.00048150998,0.0002782909,0.0000046186933,0.00008730855,0.0016883679],"genre_scores_gemma":[0.99872977,0.000058188954,0.0007891433,0.000011470886,0.00004287938,0.000017620727,0.00005752544,0.000024828358,0.0002685523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994402,0.000029117733,0.00022187924,0.00006783864,0.00006313054,0.00017786594],"domain_scores_gemma":[0.9997329,0.000024426585,0.00002865686,0.00016858628,0.000018020162,0.000027409307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015242977,0.000089682544,0.00011511356,0.000031533356,0.000019817866,0.000007041267,0.000086266955,0.000067208224,0.000031204625],"category_scores_gemma":[0.0000035020514,0.00007037118,0.000018453171,0.0001352275,0.000013031705,0.0002795074,0.00001492575,0.00008423544,0.000007554768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026866705,0.000013970534,0.0016224391,0.000021404496,0.000009125471,1.6781398e-7,0.00023995146,0.98077136,0.015736887,0.00021352191,0.0002692328,0.0010992417],"study_design_scores_gemma":[0.00017406682,0.000006109581,0.00037450314,0.000015173369,0.0000039766874,0.0000012463183,0.00010450966,0.99435216,0.0046031163,0.000004040552,0.00026766365,0.00009344098],"about_ca_topic_score_codex":0.00014102923,"about_ca_topic_score_gemma":0.0001805942,"teacher_disagreement_score":0.90425533,"about_ca_system_score_codex":0.0000611117,"about_ca_system_score_gemma":0.000002889186,"threshold_uncertainty_score":0.28696534},"labels":[],"label_agreement":null},{"id":"W2025451698","doi":"10.1109/bsc.2010.5472938","title":"A hybrid signalling scheme for cellular mobile networks over flat fading","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Base station; Computer science; Fading; Cellular network; Transmission (telecommunications); MIMO; Transmitter; Channel (broadcasting); Imperfect; Algorithm; Mobile station; Computer network; Telecommunications","score_opus":0.005986594269099394,"score_gpt":0.20823278667827697,"score_spread":0.20224619240917757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025451698","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":[0.086516224,0.00014958259,0.9106161,0.0000014631503,0.0006883759,0.00043522075,0.0000026659648,0.00046155017,0.0011288009],"genre_scores_gemma":[0.91696393,0.000008362544,0.08199977,0.000011259288,0.00038262788,0.00013694793,0.000024872992,0.00006668802,0.00040555932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993235,0.0000033687552,0.00019785615,0.0001584529,0.00005668511,0.00026016074],"domain_scores_gemma":[0.9996422,0.00006282334,0.000027288565,0.00016622491,0.000039979863,0.00006147238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001033799,0.00013492703,0.00013874206,0.000048173857,0.000058210207,0.000035019544,0.000088728986,0.00007781233,0.00013754971],"category_scores_gemma":[0.000014278479,0.0001397975,0.00005707365,0.00006806009,0.000009159763,0.0002046012,0.00001530654,0.00016485536,0.000013751821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015944726,0.0000019507831,0.000024551959,0.000024731153,0.000010178687,7.8686344e-7,0.000015473343,0.7572165,0.2417137,0.00030576938,0.0002948439,0.00038989313],"study_design_scores_gemma":[0.00021066092,0.000009655395,5.82621e-7,0.000014179778,0.0000057571087,0.0000021498577,0.0000111011705,0.8993904,0.096213326,0.00008144611,0.0038969284,0.00016383985],"about_ca_topic_score_codex":0.0000035492185,"about_ca_topic_score_gemma":0.0000043555337,"teacher_disagreement_score":0.8304477,"about_ca_system_score_codex":0.000028955885,"about_ca_system_score_gemma":0.0000045224774,"threshold_uncertainty_score":0.57007766},"labels":[],"label_agreement":null},{"id":"W2025485250","doi":"10.1109/msp.2014.2335236","title":"Three-Dimensional Beamforming: A new enabling technology for 5G wireless networks","year":2014,"lang":"en","type":"article","venue":"IEEE Signal Processing Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mobile broadband; Gigabit; Computer science; Computer network; Wireless network; Cellular network; Telecommunications; Beamforming; Wireless; IMT Advanced; Mobile telephony; Next-generation network; Spectral efficiency; Broadband; Wireless broadband; Mobile computing; Mobile radio; Mobile technology; Mobile Web; The Internet; World Wide Web","score_opus":0.011033902809008265,"score_gpt":0.22448366493802988,"score_spread":0.21344976212902161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025485250","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":[0.0025558588,0.0008722806,0.994399,0.00008659431,0.00037137402,0.00036002905,0.000001954409,0.0009364921,0.00041637768],"genre_scores_gemma":[0.9269421,0.000006248481,0.071508475,0.00006265213,0.00096882664,0.000062763655,0.000024373594,0.00013408119,0.0002904477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986049,0.000006913724,0.000407426,0.00033306488,0.00014684141,0.0005008594],"domain_scores_gemma":[0.99932045,0.00008170961,0.00012123486,0.0001908108,0.00017108188,0.00011473813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021156388,0.00028157773,0.00033267285,0.00023888126,0.00017144019,0.000061973784,0.00020536434,0.00024065506,0.000011128939],"category_scores_gemma":[0.000032341333,0.00028764686,0.000057394238,0.0005107698,0.000051990504,0.00032277266,0.000014804427,0.00024831563,0.00002065144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019758836,0.000010112967,0.000025689058,0.00016801729,0.000012442745,0.0000011256383,0.000018813627,0.8340537,0.024025725,0.00011298913,0.0010039466,0.1405477],"study_design_scores_gemma":[0.00069880893,0.00006816666,0.0000036308252,0.0002963143,0.00002327807,0.000026855576,0.0000048571496,0.9824963,0.009746085,0.0023265227,0.0039762994,0.00033285577],"about_ca_topic_score_codex":0.0000031189707,"about_ca_topic_score_gemma":0.000028414433,"teacher_disagreement_score":0.92438626,"about_ca_system_score_codex":0.00008005719,"about_ca_system_score_gemma":0.00007585057,"threshold_uncertainty_score":0.99995756},"labels":[],"label_agreement":null},{"id":"W2025601618","doi":"10.1109/vtcspring.2013.6692789","title":"Trade-Off between Spectral and Energy Efficiencies in a Fading Communication Link","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Fading; Nakagami distribution; Channel (broadcasting); Spectral efficiency; Wireless; Mathematical optimization; Constraint (computer-aided design); Computer science; Efficient energy use; Power (physics); Ergodic theory; Amplifier; Function (biology); Topology (electrical circuits); Mathematics; Telecommunications; Electrical engineering; Engineering; Physics; Bandwidth (computing)","score_opus":0.009837896803898244,"score_gpt":0.2075603104235311,"score_spread":0.19772241361963286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025601618","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":[0.3944627,0.0018055956,0.5771911,0.00041074236,0.00007026051,0.00023047076,0.0000017425812,0.0005452282,0.02528211],"genre_scores_gemma":[0.988191,0.00016324224,0.0114557175,0.000010502264,0.000029428622,0.00001897659,0.000006773965,0.000014177711,0.00011016639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999588,0.000016011998,0.00015688286,0.0000743424,0.000037616694,0.00012713618],"domain_scores_gemma":[0.9997534,0.00006260005,0.000014810959,0.00013255741,0.000006766163,0.000029852521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005225658,0.00007176127,0.00010016923,0.00007841894,0.000027118695,0.000027346492,0.00007093275,0.000047094916,0.00001595668],"category_scores_gemma":[0.000009378184,0.00007126938,0.000009396872,0.00013165607,0.000018438746,0.0002373926,0.000016186452,0.00006422283,0.0000051868424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010170677,0.0000121177145,0.011255987,0.00006066532,0.000019066136,7.3344575e-7,0.0028518941,0.8234986,0.00940261,0.0071982965,0.00026726388,0.14543176],"study_design_scores_gemma":[0.00034478336,0.000019277524,0.02878858,0.00006070362,0.00000484997,0.0000039205374,0.00042990642,0.9636035,0.00462745,0.0008889118,0.0009758397,0.0002522687],"about_ca_topic_score_codex":0.00012968111,"about_ca_topic_score_gemma":0.000069479676,"teacher_disagreement_score":0.5937283,"about_ca_system_score_codex":0.00004812691,"about_ca_system_score_gemma":0.0000024653623,"threshold_uncertainty_score":0.2906281},"labels":[],"label_agreement":null},{"id":"W2025912826","doi":"10.1109/glocom.2014.7037508","title":"Resource sharing for software defined D2D communications in virtual wireless networks with imperfect NSI","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Wireless network; Distributed computing; Wireless; Virtualization; Software-defined networking; Resource allocation; Software; Computer network; Stochastic geometry; Stochastic geometry models of wireless networks; Virtual network; Shared resource; Radio resource management; Controller (irrigation); Optimization problem; Algorithm; Telecommunications; Cloud computing","score_opus":0.010802866468336489,"score_gpt":0.22210814612093355,"score_spread":0.21130527965259704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025912826","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":[0.007989129,0.00008519553,0.9893236,0.000026661488,0.000041187635,0.00036881462,0.0000023188206,0.0004719161,0.0016911563],"genre_scores_gemma":[0.93436414,0.000015589374,0.06508106,0.000034592493,0.00004419602,0.00016117601,0.00006392471,0.00006584315,0.00016946811],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993148,0.000022570728,0.00021832182,0.00016635179,0.00005042997,0.00022752862],"domain_scores_gemma":[0.9989769,0.0002940856,0.00003377656,0.00061300246,0.00003878487,0.000043463573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001853773,0.00013386922,0.00017900261,0.000075906595,0.00007737379,0.000029684092,0.0002747905,0.00007965312,0.0000039357865],"category_scores_gemma":[0.000034049244,0.00012640134,0.000024524368,0.0002078765,0.000024266912,0.00014195345,0.00006567163,0.00013622956,0.0000031879324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012085211,0.0000075978623,0.0016966377,0.000024217206,0.000009868656,1.2482514e-7,0.00011101934,0.9868345,0.00007634631,0.0020841556,0.000121195524,0.0090222135],"study_design_scores_gemma":[0.00059160835,0.000048400332,0.00010628645,0.00008790141,0.00000703815,0.0000028527274,0.00009009605,0.99757004,0.00013110664,0.00004131001,0.0011471778,0.00017619012],"about_ca_topic_score_codex":0.000021741973,"about_ca_topic_score_gemma":0.00054146146,"teacher_disagreement_score":0.92637503,"about_ca_system_score_codex":0.000078704936,"about_ca_system_score_gemma":0.0000057740067,"threshold_uncertainty_score":0.5154497},"labels":[],"label_agreement":null},{"id":"W2026017611","doi":"10.1109/ficloud.2014.62","title":"Stationary Transformation of Video Traffic in LTE Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications; Mobile broadband; Broadband; Mobile telephony; Computer network; Broadband networks; Videoconferencing; Service (business); Service provider; Telecommunications network; Mobile radio; Business; Wireless","score_opus":0.00428129857812357,"score_gpt":0.19262015914089012,"score_spread":0.18833886056276655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026017611","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":[0.03486976,0.00004628909,0.95895964,0.000010189561,0.000080794714,0.00011502848,8.4586503e-7,0.00010972407,0.005807733],"genre_scores_gemma":[0.9936296,0.000025304513,0.0062512564,0.0000071942977,0.000017286387,0.00000990295,0.000021981534,0.000011025708,0.000026497826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996148,0.000013572143,0.00021749818,0.000043551347,0.000035915946,0.00007470563],"domain_scores_gemma":[0.99985653,0.000033940687,0.000017409506,0.000060815375,0.000017200342,0.00001412975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092451875,0.000049629874,0.00008076102,0.000071945775,0.0000064370233,0.0000027814406,0.000030062076,0.000036367826,0.000018894865],"category_scores_gemma":[0.0000062293816,0.000051347393,0.000012811321,0.00013872913,0.000005384464,0.00022011856,0.0000012816564,0.000038713548,0.000003984115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022599324,0.00000387678,0.000032622396,0.00003440408,0.0000018754245,4.4623533e-8,0.00027069016,0.9855054,0.00015343397,0.0012388186,0.000041301984,0.012715246],"study_design_scores_gemma":[0.00023420724,0.000009861022,0.0003052131,0.00001984325,0.0000013378852,5.3328665e-7,0.00005727571,0.9987501,0.00032635627,0.00007264889,0.00016950192,0.000053132142],"about_ca_topic_score_codex":0.000003525746,"about_ca_topic_score_gemma":0.000047898186,"teacher_disagreement_score":0.9587598,"about_ca_system_score_codex":0.00002366142,"about_ca_system_score_gemma":0.0000022433517,"threshold_uncertainty_score":0.20938858},"labels":[],"label_agreement":null},{"id":"W2026402969","doi":"10.1109/twc.2011.080611.100912","title":"Cross-Layer Antenna Selection and Channel Allocation for MIMO Cognitive Radios","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cognitive radio; MIMO; Computer network; Wireless ad hoc network; Interference (communication); Channel (broadcasting); Spectral efficiency; Multi-user MIMO; 3G MIMO; Algorithm; Wireless; Telecommunications","score_opus":0.04369881240623156,"score_gpt":0.27824781865693526,"score_spread":0.2345490062507037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026402969","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":[0.0145682255,0.00021836028,0.98294806,0.0000451639,0.00026252362,0.0008724849,0.000097374555,0.00048362918,0.0005041733],"genre_scores_gemma":[0.98585343,0.0008880028,0.011892652,0.000029251956,0.000024504518,0.0010133248,0.000041698186,0.00007340726,0.00018371866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990953,0.000055293593,0.00032790107,0.00022351099,0.00007603295,0.0002219362],"domain_scores_gemma":[0.9988686,0.00020123733,0.000071699855,0.0005032936,0.0002730283,0.000082184975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012688705,0.00020310743,0.00018698243,0.0002108171,0.00050384604,0.00004036185,0.00023205345,0.00013954457,0.000019128849],"category_scores_gemma":[0.000008613573,0.00023962292,0.00006770422,0.0003206922,0.0001147547,0.00045168272,0.0000025222178,0.00023874351,0.000015904507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007904464,0.002450606,0.00047374397,0.000961516,0.0016197272,0.0000018852468,0.026594857,0.6569194,0.11719553,0.00589142,0.00020312815,0.18689771],"study_design_scores_gemma":[0.0011129847,0.0001208966,0.00036369148,0.00014609718,0.000106670115,0.000021397973,0.0004576388,0.9463618,0.050602257,0.00019412112,0.0001179355,0.00039455266],"about_ca_topic_score_codex":0.000046796587,"about_ca_topic_score_gemma":0.00028787882,"teacher_disagreement_score":0.9712852,"about_ca_system_score_codex":0.00010016668,"about_ca_system_score_gemma":0.000020526475,"threshold_uncertainty_score":0.9771539},"labels":[],"label_agreement":null},{"id":"W2027031054","doi":"10.1109/icc.2012.6364002","title":"Competitive pricing for spectrum subleasing for future wireless ad hoc networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stackelberg competition; Nash equilibrium; Computer science; Operator (biology); Equilibrium point; Interference (communication); Mathematical optimization; Game theory; Mobile network operator; Mathematical economics; Telecommunications; Mathematics; Cellular network; Channel (broadcasting)","score_opus":0.007547429882090644,"score_gpt":0.217985564674811,"score_spread":0.21043813479272036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027031054","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":[0.0020159192,0.0022263608,0.99081355,0.000050911785,0.001495548,0.0008340039,0.000008503613,0.00037992807,0.0021752757],"genre_scores_gemma":[0.90422195,0.00013946154,0.09327274,0.00003535962,0.0017784985,0.00012951679,0.00005527924,0.000088036664,0.0002791852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992223,0.00000741386,0.00018007192,0.000118692275,0.000045309513,0.00042625432],"domain_scores_gemma":[0.99961853,0.00010516932,0.00004004521,0.00011975154,0.000045401426,0.0000710994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011246673,0.00014762011,0.00018171173,0.000044570203,0.000089657384,0.000023233926,0.00006161518,0.000094231495,0.000010446875],"category_scores_gemma":[0.000008644991,0.00014587944,0.00005813102,0.0001063122,0.000008591593,0.00031264007,0.000010441721,0.00007306087,0.0000029879172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050950297,0.000023513217,0.00034967271,0.0003067819,0.00006804772,2.2281085e-7,0.0008194565,0.9218073,0.0007518616,0.059104487,0.00083552446,0.015882215],"study_design_scores_gemma":[0.0008543845,0.00004483918,0.00019263462,0.00009313722,0.000030567822,0.0000072579082,0.0015169465,0.9619541,0.0036381937,0.0001152903,0.03116344,0.00038919918],"about_ca_topic_score_codex":7.503283e-7,"about_ca_topic_score_gemma":0.000027372938,"teacher_disagreement_score":0.902206,"about_ca_system_score_codex":0.0001206449,"about_ca_system_score_gemma":0.000005103763,"threshold_uncertainty_score":0.59487915},"labels":[],"label_agreement":null},{"id":"W2027540675","doi":"10.1109/glocom.2007.576","title":"On the Achievable Sum-Rate of MIMO MAC with Channel Uncertainty and Delayed Feedback","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"MIMO; Beamforming; Channel (broadcasting); Covariance; Upper and lower bounds; Mutual information; Computer science; Transmitter power output; Control theory (sociology); Transmitter; Power (physics); Topology (electrical circuits); Mathematics; Telecommunications; Statistics","score_opus":0.007585844566674855,"score_gpt":0.20072905310702965,"score_spread":0.1931432085403548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027540675","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":[0.27281153,0.00017261681,0.7061978,0.00009406275,0.00009551095,0.00039640427,0.000009810227,0.00017462154,0.02004764],"genre_scores_gemma":[0.9973266,0.000029533798,0.0020237209,0.00005459098,0.000017950975,0.0000058626556,0.000005446466,0.000023953502,0.0005123484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952894,0.000011614403,0.00014292245,0.00009745916,0.000056314446,0.000162765],"domain_scores_gemma":[0.99958175,0.00014827108,0.000032155316,0.00016107463,0.000041145136,0.00003561627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022201258,0.00010418873,0.00010996863,0.00004027133,0.000036513,0.0000088273955,0.000056917754,0.000040406343,0.000025640345],"category_scores_gemma":[0.000015199335,0.00006350269,0.000011875356,0.00014804423,0.000029423683,0.00006771293,0.0000100431525,0.00007025789,0.0000061948795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090659945,0.0000083134955,0.000047597554,0.00003211237,0.00003280545,0.0000014214013,0.00019762733,0.9935066,0.0013507843,0.00407474,0.00035489787,0.00030244928],"study_design_scores_gemma":[0.0015762763,0.00040529628,0.0006741759,0.0001821648,0.000038748127,0.00001755068,0.0019248128,0.941308,0.051292278,0.0013786647,0.0006907519,0.0005112364],"about_ca_topic_score_codex":0.00007618932,"about_ca_topic_score_gemma":0.00027552393,"teacher_disagreement_score":0.7245151,"about_ca_system_score_codex":0.000027371245,"about_ca_system_score_gemma":0.000004391426,"threshold_uncertainty_score":0.25895643},"labels":[],"label_agreement":null},{"id":"W2027902893","doi":"10.1109/pimrc.2010.5671951","title":"Cognitive uplink interference management in 4G cellular femtocells","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Macrocell; Telecommunications link; Computer network; Computer science; Interference (communication); Base station; Channel (broadcasting); Cognitive radio; Scheduling (production processes); Telecommunications; Wireless; Engineering","score_opus":0.008920536410175975,"score_gpt":0.2217266315358623,"score_spread":0.21280609512568632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027902893","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":[0.042994894,0.000027219749,0.86001164,0.0000070899623,0.00040134514,0.00031471404,0.0000011312497,0.00021377785,0.09602818],"genre_scores_gemma":[0.98337466,0.000018780322,0.015223862,0.000015130073,0.00002811373,0.000040790368,0.000008468138,0.000022109265,0.0012680639],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995026,0.0000051398297,0.00016329951,0.00013370975,0.000042982887,0.00015229432],"domain_scores_gemma":[0.9997826,0.000021329528,0.000014197084,0.00012569121,0.000022246752,0.0000339286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000061519495,0.00009946545,0.00009039615,0.0000954267,0.000011398177,0.000016147082,0.000085435015,0.000054047257,0.00020661304],"category_scores_gemma":[0.0000069342086,0.000101997306,0.000015167132,0.00013504941,0.000012900316,0.00011301343,0.000030405821,0.00016378156,0.00021315053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006445838,0.0002732249,0.00566102,0.0010226656,0.0002494682,0.00026343678,0.0028812543,0.51974565,0.27336362,0.029934801,0.0015549402,0.16498546],"study_design_scores_gemma":[0.0014260523,0.000034905926,0.0007077867,0.00019286133,0.000022863296,0.0000053163435,0.000906881,0.81810784,0.1759663,0.0010089889,0.00094921875,0.0006709617],"about_ca_topic_score_codex":0.0000066556104,"about_ca_topic_score_gemma":0.000053168784,"teacher_disagreement_score":0.9403798,"about_ca_system_score_codex":0.00002276501,"about_ca_system_score_gemma":0.0000020489545,"threshold_uncertainty_score":0.41593295},"labels":[],"label_agreement":null},{"id":"W2027972004","doi":"10.1109/wimob.2011.6085404","title":"Coordinated multi-cell MU-MIMO downlink transmission with adaptive beam deactivation","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Codebook; Telecommunications link; Base station; MIMO; Computer science; Transmission (telecommunications); Set (abstract data type); Channel (broadcasting); Scheme (mathematics); Control theory (sociology); Electronic engineering; Algorithm; Computer network; Telecommunications; Engineering; Mathematics; Artificial intelligence","score_opus":0.019135657737178086,"score_gpt":0.1943405654181806,"score_spread":0.1752049076810025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027972004","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":[0.007278176,0.000074426614,0.9757736,0.000003977295,0.00007303141,0.00039017052,0.000002776575,0.0006855056,0.015718378],"genre_scores_gemma":[0.83308023,0.000014809763,0.16608945,0.000009295255,0.000015910844,0.000030225965,0.00002110389,0.000049880517,0.00068911375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931175,0.000014617661,0.00020676624,0.00019061341,0.000079777004,0.00019647887],"domain_scores_gemma":[0.99959433,0.00001926881,0.000045565073,0.0001613119,0.00009865309,0.000080871934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053868866,0.00018425423,0.00015629105,0.000093519346,0.000050158393,0.000008872453,0.000078451616,0.000106513675,0.00011647289],"category_scores_gemma":[0.0000040680193,0.00014981111,0.000025515297,0.00023400018,0.000017488026,0.00039073688,0.0000062902786,0.00012917488,0.000040572977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026527254,0.00034728102,0.0007364942,0.00016559492,0.00010289323,0.000019662852,0.0035449967,0.86747986,0.10566245,0.0003157878,0.00029706972,0.021062613],"study_design_scores_gemma":[0.0020109697,0.00019057617,0.0006919306,0.00009324223,0.000030182771,0.000009905868,0.00049170014,0.66534483,0.33028513,0.000027329326,0.00036455158,0.00045967678],"about_ca_topic_score_codex":0.0000671859,"about_ca_topic_score_gemma":0.000025780275,"teacher_disagreement_score":0.825802,"about_ca_system_score_codex":0.00007662269,"about_ca_system_score_gemma":0.000012494501,"threshold_uncertainty_score":0.61091197},"labels":[],"label_agreement":null},{"id":"W2028070124","doi":"10.1109/tcomm.2013.020813.120594","title":"A Modified Hard Core Point Process for Analysis of Random CSMA Wireless Networks in General Fading Environments","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Fading; Computer network; Computer science; Node (physics); Point process; Transmission (telecommunications); Wireless network; Stochastic geometry; Interference (communication); Carrier sense multiple access with collision avoidance; Wireless; Distributed computing; Topology (electrical circuits); Channel (broadcasting); Throughput; Engineering; Telecommunications; Mathematics","score_opus":0.04026231450494504,"score_gpt":0.27457280157659947,"score_spread":0.23431048707165442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028070124","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":[0.06535202,0.00008693218,0.9332904,0.000037701706,0.00008179443,0.00087607396,0.000050089915,0.00007730991,0.00014766467],"genre_scores_gemma":[0.9898184,0.00035016635,0.008159409,0.000011818491,0.00000735523,0.0014576237,0.000072702554,0.00003613027,0.000086404994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906653,0.000045535086,0.0004734054,0.0001494723,0.00008275656,0.00018230674],"domain_scores_gemma":[0.99875945,0.0002142189,0.00009036341,0.0008367878,0.000050067134,0.000049119953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011110702,0.00014608202,0.0003305979,0.00039555124,0.00012531246,0.00001572307,0.00035236578,0.0000956978,0.00002211713],"category_scores_gemma":[0.0000039421543,0.00016408798,0.00013950204,0.000736709,0.000055017892,0.00023937394,0.000002173948,0.00018977292,0.000003280841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015304713,0.000096529984,0.00005062178,0.00002038947,0.00026588302,3.8593527e-8,0.00044289787,0.9939924,0.0027423354,0.00004299725,0.000007378236,0.0023232556],"study_design_scores_gemma":[0.0009331827,0.000015171438,0.00022436425,0.00003828326,0.00021271166,4.1645197e-7,0.00015111364,0.9965103,0.0016724805,0.000090047586,0.000010549726,0.00014136574],"about_ca_topic_score_codex":0.0000805786,"about_ca_topic_score_gemma":0.00027110832,"teacher_disagreement_score":0.925131,"about_ca_system_score_codex":0.00012859542,"about_ca_system_score_gemma":0.000009015393,"threshold_uncertainty_score":0.66913134},"labels":[],"label_agreement":null},{"id":"W2028138129","doi":"10.1145/2641798.2641830","title":"Understanding the interactions of handover-related self-organization schemes","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Handover; Computer science; Scheme (mathematics); Key (lock); Performance indicator; Control (management); Self-organizing network; Distributed computing; Work (physics); Computer network; Artificial intelligence; Computer security; Engineering","score_opus":0.016392803505139514,"score_gpt":0.2095554521709032,"score_spread":0.1931626486657637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028138129","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":[0.0033622836,0.000013376508,0.97931856,0.000041381576,0.00025034795,0.00008631143,4.758873e-7,0.00035405843,0.016573193],"genre_scores_gemma":[0.9958404,0.000009506984,0.003870819,0.000007082871,0.000019455487,0.0000019996796,0.0000062315175,0.000019482219,0.00022504035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996765,0.0000142832105,0.00014965129,0.000050895433,0.000046511206,0.00006212025],"domain_scores_gemma":[0.9997279,0.00006809309,0.0000350057,0.00011244139,0.000043804463,0.000012766536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006143245,0.000054146534,0.00006494823,0.0000420038,0.000051683997,0.000011948831,0.000049091326,0.00002692912,0.00008234861],"category_scores_gemma":[0.000052337706,0.00004120863,0.00001364285,0.00026077096,0.000010194997,0.0001549616,0.00000953261,0.000051518804,0.000015097937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.772299e-7,0.000011304903,0.00080096564,0.00004163917,0.00006649923,5.4172e-8,0.0008737748,0.9309203,0.012184181,0.054205306,0.00072854786,0.00016646086],"study_design_scores_gemma":[0.00035766128,0.000010863042,0.000111378125,0.000040446375,0.000026162594,0.000005855416,0.00063381204,0.9650164,0.031029336,0.0013840044,0.0012595594,0.00012447641],"about_ca_topic_score_codex":0.0000021032151,"about_ca_topic_score_gemma":0.0000064927412,"teacher_disagreement_score":0.9924781,"about_ca_system_score_codex":0.00008391107,"about_ca_system_score_gemma":0.0000032186751,"threshold_uncertainty_score":0.16804391},"labels":[],"label_agreement":null},{"id":"W2028798059","doi":"10.1155/2009/525639","title":"Advances in Wireless Networks","year":2009,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Wireless; Wireless network; Computer network; Telecommunications","score_opus":0.0029716344763905072,"score_gpt":0.2012762076358163,"score_spread":0.1983045731594258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028798059","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":[0.0045248,0.001794365,0.9644584,0.000003529618,0.00095257215,0.0008016393,0.0000044536196,0.000553807,0.02690642],"genre_scores_gemma":[0.99902767,0.00045620263,0.00016309564,0.000021231377,0.00008057637,0.00017888552,0.000046694175,0.000009068166,0.000016550264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990597,0.000016424028,0.00055315444,0.000060527123,0.000113019734,0.00019722045],"domain_scores_gemma":[0.9996421,0.000018743647,0.000084099374,0.00016220268,0.000052233598,0.00004067438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014420778,0.00012208133,0.00017644417,0.00016907719,0.000028356595,0.00006900877,0.0000934649,0.00008882622,0.0000038178187],"category_scores_gemma":[0.00000558908,0.00012522616,0.000021377224,0.000336131,0.0000067520114,0.0028169882,0.0000049003593,0.00009859915,0.00006690674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023043942,0.0000031803118,0.000074285286,0.000052596908,0.0000010840994,4.228302e-7,0.00022540524,0.9529153,0.000019420177,0.0011402556,0.000092217124,0.04547349],"study_design_scores_gemma":[0.0002134515,0.000025329737,0.00008559629,0.000107509855,0.0000010961061,0.000008574691,0.00047097297,0.9799555,0.000061243525,0.00001867206,0.018893488,0.00015856102],"about_ca_topic_score_codex":0.000004570617,"about_ca_topic_score_gemma":0.000003253252,"teacher_disagreement_score":0.9945029,"about_ca_system_score_codex":0.00013510809,"about_ca_system_score_gemma":0.00000563119,"threshold_uncertainty_score":0.5106575},"labels":[],"label_agreement":null},{"id":"W2029090942","doi":"10.1109/mcom.2015.7081072","title":"Authentication handover and privacy protection in 5G hetnets using software-defined networking","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":222,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Computer network; Heterogeneous network; Handover; Authentication (law); Provisioning; Context (archaeology); Computer security; Telecommunications; Wireless network; Wireless","score_opus":0.06625908457491472,"score_gpt":0.2815920350024256,"score_spread":0.21533295042751086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029090942","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":[0.06636171,0.002205681,0.9283853,0.00017749265,0.0005767675,0.0008754605,0.0000037926422,0.000510992,0.0009028055],"genre_scores_gemma":[0.9303353,0.00021765465,0.06910891,0.000011324415,0.00008057998,0.00010420221,0.000027109973,0.000044325592,0.00007059666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991551,0.00008767388,0.0003389546,0.00014834403,0.00009251527,0.00017741592],"domain_scores_gemma":[0.998817,0.000057322417,0.000085884065,0.00086889195,0.00010350122,0.00006734824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027353977,0.00013788787,0.00016110165,0.00018151541,0.00009094085,0.000047822312,0.00024128534,0.00008202202,0.0000018875331],"category_scores_gemma":[0.00011406786,0.00016120906,0.0000177418,0.0004500712,0.00005361319,0.00038031378,0.00007209864,0.00018955304,0.000022166905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027136713,0.00010224234,0.003052018,0.00010205662,0.000029535708,0.0000013406169,0.0021588744,0.95526314,0.019148435,0.0002511764,0.00040926452,0.019454774],"study_design_scores_gemma":[0.0008062693,0.000017047703,0.0012708461,0.00014138664,0.000017151877,0.000021235894,0.000035354387,0.9907081,0.00031693824,0.0007663485,0.005684618,0.00021469466],"about_ca_topic_score_codex":0.000048290985,"about_ca_topic_score_gemma":0.00013183912,"teacher_disagreement_score":0.86397356,"about_ca_system_score_codex":0.0002443548,"about_ca_system_score_gemma":0.000025225227,"threshold_uncertainty_score":0.6573915},"labels":[],"label_agreement":null},{"id":"W2029232777","doi":"10.1109/jsac.2013.131006","title":"Two-Stage Channel Quantization for Scheduling and Beamforming in Network MIMO Systems: Feedback Design and Scaling Laws","year":2013,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; MIMO; Beamforming; Base station; Precoding; Multi-user MIMO; Telecommunications link; Channel (broadcasting); Quantization (signal processing); Channel state information; Scheduling (production processes); Spatial multiplexing; Control theory (sociology); Real-time computing; Computer network; Wireless; Telecommunications; Algorithm; Mathematical optimization; Mathematics","score_opus":0.03541002289995055,"score_gpt":0.2761823023650124,"score_spread":0.24077227946506186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029232777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06871207,0.0031896909,0.92648,0.00010069088,0.00022681478,0.0010843404,0.0000038384183,0.00009848467,0.00010405895],"genre_scores_gemma":[0.85178393,0.0018410522,0.14599381,0.000019323263,0.000099632256,0.0001818392,0.00001597381,0.000050566126,0.00001388608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986093,0.00021188664,0.0006205368,0.00014685198,0.00009150529,0.00031990814],"domain_scores_gemma":[0.9984827,0.00067782676,0.00018291484,0.0003311553,0.00023367656,0.00009171742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064592157,0.0001798168,0.0002724082,0.00031350402,0.0002981003,0.00018550041,0.00023437996,0.00010849143,0.0000012398424],"category_scores_gemma":[0.00017059981,0.0001929377,0.000019903106,0.00063574105,0.000035218498,0.00056340377,0.00003055838,0.000455951,0.0000018118288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010899055,0.000021821323,0.0006855732,0.000054041906,0.000018133449,4.6484078e-7,0.00039057125,0.99653006,0.0010509562,0.0005985382,0.000027684635,0.00061124185],"study_design_scores_gemma":[0.0008414859,0.000031879135,0.00040591953,0.00089874107,0.000010305791,0.000040440413,0.00046366913,0.99650216,0.00013682619,0.00040313654,0.00007115648,0.0001942566],"about_ca_topic_score_codex":0.000059319318,"about_ca_topic_score_gemma":0.00013754291,"teacher_disagreement_score":0.7830718,"about_ca_system_score_codex":0.00020053811,"about_ca_system_score_gemma":0.00003363846,"threshold_uncertainty_score":0.78677714},"labels":[],"label_agreement":null},{"id":"W2029332172","doi":"10.1007/s11801-008-8032-4","title":"A rigorous proof of MIMO channel capacity’s increase with antenna number","year":2008,"lang":"en","type":"article","venue":"Optoelectronics Letters","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":"Concordia University","funders":"","keywords":"MIMO; Channel capacity; Transmitter; Channel (broadcasting); Proof of concept; Antenna (radio); Computer science; Simple (philosophy); Matrix (chemical analysis); 3G MIMO; Topology (electrical circuits); Telecommunications; Mathematics; Combinatorics; Materials science","score_opus":0.0068545239443123145,"score_gpt":0.184943663200058,"score_spread":0.17808913925574568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029332172","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":[0.60988814,0.00013739825,0.38835433,0.000091664544,0.00006508119,0.00031730544,0.000009145072,0.00018766534,0.0009492613],"genre_scores_gemma":[0.9906605,0.000050029903,0.0088973455,0.00012046915,0.000059071783,0.000052047137,0.000018075241,0.00007856595,0.00006391192],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988903,0.000025528903,0.00024912003,0.00020751635,0.0001760698,0.00045148056],"domain_scores_gemma":[0.99945873,0.000024213517,0.000080734564,0.00029384997,0.00006726565,0.00007519515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071155926,0.00022163865,0.00027413358,0.00008027027,0.00006420387,0.0000075882735,0.00014081059,0.00006901698,0.000013887924],"category_scores_gemma":[0.000012924623,0.00021328934,0.000048486534,0.0002988487,0.000083031424,0.00021800448,0.00001332781,0.00022086906,0.000011487852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116993804,0.00011013705,0.0015525359,0.00030786177,0.0002701165,0.00008590571,0.0015880488,0.87301826,0.12026956,0.00039797966,0.0020110272,0.0002715812],"study_design_scores_gemma":[0.006333917,0.00075748767,0.0005637608,0.0005707424,0.00020897301,0.0030897248,0.00019151799,0.6717193,0.30979973,0.00021052395,0.0036512522,0.002903076],"about_ca_topic_score_codex":0.0000666775,"about_ca_topic_score_gemma":0.000045565364,"teacher_disagreement_score":0.38077235,"about_ca_system_score_codex":0.00019092273,"about_ca_system_score_gemma":0.00003734938,"threshold_uncertainty_score":0.8697687},"labels":[],"label_agreement":null},{"id":"W2029444124","doi":"10.1109/icwits.2010.5611887","title":"Double directional radio propagation measurements and radio channel modelling pertinent to mobile MIMO communications in microcells","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Communications Research Centre Canada","funders":"","keywords":"Rician fading; Fading; Narrowband; Multipath propagation; MIMO; Rayleigh fading; Angle of arrival; Computer science; Channel sounding; Coherence bandwidth; Covariance; Channel (broadcasting); Telecommunications; Electronic engineering; Delay spread; Mathematics; Engineering; Statistics","score_opus":0.03475229771716023,"score_gpt":0.2493446582501362,"score_spread":0.21459236053297595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029444124","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":[0.14210716,0.00047228756,0.85274386,0.000093738854,0.00036308033,0.0014308305,0.000004210073,0.00027648872,0.002508334],"genre_scores_gemma":[0.9343604,0.00007841317,0.06471332,0.000011945552,0.000046730303,0.00047677965,0.0000219677,0.00003165839,0.00025878954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992889,0.000013717879,0.00026130633,0.0001695509,0.00010321965,0.00016330456],"domain_scores_gemma":[0.9994988,0.000018876402,0.00002801921,0.00029529812,0.00008483714,0.00007419799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019560372,0.00012209768,0.00012465469,0.00014868047,0.00007937325,0.000032472162,0.00012672512,0.0000647669,0.000013198035],"category_scores_gemma":[0.0000066625425,0.000129213,0.000017159686,0.00020200973,0.000017396202,0.00021857524,0.00003439899,0.00015790499,0.000014864447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008927459,0.00002853639,0.00019977083,0.00002444026,0.000007464902,9.4109375e-8,0.000520392,0.89230824,0.106400184,0.00004691101,0.00005879817,0.00039621416],"study_design_scores_gemma":[0.00054280716,0.000014154809,0.000047233323,0.00003395604,0.000005100946,0.00000674304,0.00008061075,0.9592088,0.038576618,0.000027508673,0.0012849617,0.0001715343],"about_ca_topic_score_codex":0.00011228828,"about_ca_topic_score_gemma":0.00038298863,"teacher_disagreement_score":0.79225326,"about_ca_system_score_codex":0.00010161872,"about_ca_system_score_gemma":0.000012317157,"threshold_uncertainty_score":0.5269153},"labels":[],"label_agreement":null},{"id":"W2030132186","doi":"10.1109/twc.2013.061713.130278","title":"Water-Filling: A Geometric Approach and its Application to Solve Generalized Radio Resource Allocation Problems","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematical optimization; Computation; Bounded function; Resource allocation; Optimization problem; Computer science; Geometric programming; Power (physics); Linear programming; Mathematics; Dual (grammatical number); Integer (computer science); Algorithm","score_opus":0.021593561261174288,"score_gpt":0.22804605068474998,"score_spread":0.2064524894235757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030132186","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":[0.016447624,0.00046776808,0.9790975,0.00048448832,0.00007664875,0.0021132505,0.000020151612,0.0006447642,0.00064781815],"genre_scores_gemma":[0.9603505,0.0007591121,0.03448752,0.000057670823,0.00002618345,0.0038910415,0.00012400586,0.000091779744,0.00021218184],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859184,0.00007459803,0.0004898413,0.0003387082,0.00017490966,0.0003301005],"domain_scores_gemma":[0.9981469,0.00010452228,0.00006258885,0.001304803,0.00019373895,0.00018743852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018492457,0.0002666565,0.00026647464,0.00057224545,0.0004487311,0.00009146353,0.00053970976,0.000157253,0.000015658883],"category_scores_gemma":[0.000005093411,0.00026338393,0.000060349492,0.0009547473,0.000049236074,0.0004107974,0.000009501845,0.00032155364,0.00016671298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038255876,0.00012400985,0.0000018646241,0.00007134924,0.000046764362,3.1939077e-8,0.00095304864,0.91992074,0.057974096,0.00040725965,0.000072803814,0.020424202],"study_design_scores_gemma":[0.00044077064,0.000035915305,0.000020450578,0.000043929507,0.000039848783,0.000009737403,0.00017049407,0.9569233,0.039648674,0.00006150964,0.002239089,0.0003662593],"about_ca_topic_score_codex":0.00009171823,"about_ca_topic_score_gemma":0.000036834557,"teacher_disagreement_score":0.94460994,"about_ca_system_score_codex":0.00019727412,"about_ca_system_score_gemma":0.000012530192,"threshold_uncertainty_score":0.9999818},"labels":[],"label_agreement":null},{"id":"W203018997","doi":"","title":"Adaptive Modeling, Prediction, and Tracking of Wireless Fading Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fading; Computer science; Channel state information; Fading distribution; Channel (broadcasting); Algorithm; Range (aeronautics); Linear prediction; Wireless; Rayleigh fading; Telecommunications; Engineering","score_opus":0.0176587000322505,"score_gpt":0.22374917343450823,"score_spread":0.20609047340225772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W203018997","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":[0.1343909,0.00013727853,0.8631054,0.0000011559786,0.0001504196,0.000092757626,0.0000020203631,0.0001734425,0.0019466074],"genre_scores_gemma":[0.9909242,0.00003104404,0.008918413,0.0000021231021,0.000060598166,0.0000026839582,0.0000020131074,0.000020014319,0.000038941766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995322,0.0000033062947,0.00020468597,0.00008510512,0.000056311546,0.000118350035],"domain_scores_gemma":[0.9998029,0.000019281357,0.000022603335,0.00006231252,0.000059388796,0.0000335519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001321847,0.000070896596,0.000101086865,0.00007875914,0.000023721186,0.0000056514286,0.000027402964,0.000049418715,0.000004378927],"category_scores_gemma":[0.0000057752277,0.000073828734,0.000012487904,0.00009727964,0.000009891982,0.00020318599,0.000007642035,0.000047356258,6.4517764e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031430432,0.000002583711,0.00019737537,0.00002784415,0.000010687841,4.5522438e-7,0.0008196434,0.99302214,0.003269653,0.0005260686,0.000006324656,0.0021140801],"study_design_scores_gemma":[0.00013037823,0.000012691037,0.000032969725,0.000049616083,0.0000045877873,0.0000042737643,0.00073010277,0.98789346,0.010970167,0.000103711594,0.000003936949,0.00006412599],"about_ca_topic_score_codex":0.000014874041,"about_ca_topic_score_gemma":0.000009012469,"teacher_disagreement_score":0.8565333,"about_ca_system_score_codex":0.000028931318,"about_ca_system_score_gemma":0.0000023083128,"threshold_uncertainty_score":0.30106485},"labels":[],"label_agreement":null},{"id":"W2030357686","doi":"10.1109/tit.2013.2290539","title":"Layered Interference Networks With Delayed CSI: DoF Scaling With Distributed Transmitters","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Channel state information; Interference (communication); Computer science; Interference alignment; Transmission (telecommunications); Exploit; Scaling; Topology (electrical circuits); Channel (broadcasting); Degrees of freedom (physics and chemistry); Computer network; Control theory (sociology); Electronic engineering; Wireless; Telecommunications; MIMO; Physics; Mathematics; Engineering; Control (management); Electrical engineering","score_opus":0.0036996177127199244,"score_gpt":0.17113606625728595,"score_spread":0.16743644854456602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030357686","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":[0.007995945,0.000011794567,0.98980635,0.00002639364,0.00021357619,0.0005648229,0.00005190363,0.0006043537,0.00072485703],"genre_scores_gemma":[0.99441004,0.000020491561,0.0050901924,0.00008698028,0.000015040177,0.00024615534,0.00006820003,0.00003340661,0.000029474857],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906987,0.000038936054,0.00037982396,0.0001108991,0.00014042653,0.00026003228],"domain_scores_gemma":[0.9993501,0.00008504924,0.000081268496,0.0002467323,0.00014108438,0.00009580346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001035988,0.000234829,0.00017620143,0.00017452876,0.00013786371,0.00010418831,0.00012822276,0.00010110691,0.0001404474],"category_scores_gemma":[0.0000015981917,0.00018850686,0.000040897055,0.00036474186,0.00005923728,0.0020659578,4.3580303e-7,0.00027750002,0.00009338444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016163036,0.000012410939,0.0000021491003,0.00003763753,0.00008134255,3.5745967e-7,0.0009920909,0.98117614,0.000070874965,0.000107596454,0.000045537716,0.017312221],"study_design_scores_gemma":[0.0012633277,0.00018065264,0.00003990842,0.00020763451,0.00004828624,0.000029893486,0.0016195951,0.99055344,0.0054489677,0.00009301476,0.000100569894,0.0004147046],"about_ca_topic_score_codex":0.000017991135,"about_ca_topic_score_gemma":0.000014867019,"teacher_disagreement_score":0.98641413,"about_ca_system_score_codex":0.00013504014,"about_ca_system_score_gemma":0.000017743976,"threshold_uncertainty_score":0.7687087},"labels":[],"label_agreement":null},{"id":"W2030835564","doi":"10.1109/twc.2011.111210.102115","title":"A Mixture Gamma Distribution to Model the SNR of Wireless Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":274,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Killam Trusts; Alberta Innovates - Technology Futures","keywords":"Fading; Gamma distribution; Fading distribution; Multipath propagation; Probability density function; Algorithm; Moment-generating function; Context (archaeology); Computer science; Channel state information; Wireless; Signal-to-noise ratio (imaging); Channel (broadcasting); Divergence (linguistics); Mathematics; Statistics; Rayleigh fading; Telecommunications","score_opus":0.03305934035476647,"score_gpt":0.24582832437815194,"score_spread":0.21276898402338545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030835564","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":[0.012459927,0.000080299564,0.9850196,0.00022595955,0.00026470856,0.0005787655,0.00026688338,0.00029522358,0.0008086217],"genre_scores_gemma":[0.9916974,0.00033704707,0.007237104,0.00003476465,0.000014187211,0.00044120644,0.000039002272,0.000053145923,0.00014618474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896777,0.000080646554,0.0004113117,0.00016667972,0.0001458965,0.00022771893],"domain_scores_gemma":[0.99779344,0.000110676236,0.00007858055,0.0017506427,0.00017575423,0.00009092931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013587793,0.00020276122,0.00022271491,0.000114275004,0.00031248038,0.000017195658,0.000847149,0.00012458273,0.00001709508],"category_scores_gemma":[0.0000040952336,0.0001840717,0.00010605408,0.000593917,0.00012171504,0.00019592057,0.0000071746895,0.00034810737,0.000030705836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018163579,0.00015694916,0.0000026287532,0.00003195455,0.000056766192,1.7419792e-7,0.0028738563,0.9810474,0.005223395,0.002407443,0.00016836236,0.0080129355],"study_design_scores_gemma":[0.00022203643,0.000039554903,0.000019346855,0.00011218403,0.000052166655,0.000004983701,0.00031760824,0.9436093,0.054912683,0.00022815273,0.00024573525,0.00023627421],"about_ca_topic_score_codex":0.000055263492,"about_ca_topic_score_gemma":0.0001774427,"teacher_disagreement_score":0.97923744,"about_ca_system_score_codex":0.00011999056,"about_ca_system_score_gemma":0.000029034742,"threshold_uncertainty_score":0.75062263},"labels":[],"label_agreement":null},{"id":"W2031092768","doi":"10.1109/icc.2012.6364677","title":"Energy-efficient resource allocation in OFDMA systems with large numbers of base station antennas","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subcarrier; Computer science; Orthogonal frequency-division multiple access; Resource allocation; Base station; Telecommunications link; Transmitter power output; Efficient energy use; Mathematical optimization; Channel state information; Iterative method; Energy consumption; Orthogonal frequency-division multiplexing; Transmitter; Wireless; Computer network; Channel (broadcasting); Algorithm; Telecommunications; Mathematics; Engineering; Electrical engineering","score_opus":0.006397727167128801,"score_gpt":0.20051965834263252,"score_spread":0.19412193117550372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031092768","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":[0.08992003,0.00045257053,0.9065424,0.0000075590956,0.00012077616,0.0001914626,0.0000098651335,0.00012664164,0.0026286498],"genre_scores_gemma":[0.997351,0.000015253023,0.002247913,0.000006928359,0.00003188682,0.00004899257,0.00004502706,0.000029959736,0.00022302648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992629,0.000036696936,0.00026451302,0.00009223958,0.00013046878,0.00021313416],"domain_scores_gemma":[0.999645,0.00002988528,0.000067223824,0.00014904288,0.00005918357,0.000049650316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020524778,0.000099555626,0.00013442553,0.00012861518,0.000015411053,0.000007109508,0.00004384424,0.00004813407,0.000011647923],"category_scores_gemma":[0.000009407053,0.000088731955,0.000012272168,0.00030396724,0.000009252334,0.00018408967,0.0000073296596,0.000041554096,0.0000034513948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000102739605,0.000049564766,0.0033354987,0.00012128871,0.000009633614,3.780322e-7,0.0006490873,0.9902226,0.0024939312,0.0028898737,0.000093497525,0.0001243947],"study_design_scores_gemma":[0.0004489087,0.000014166842,0.0005559087,0.00013411317,0.0000074613554,0.0000031536642,0.0016562045,0.9918627,0.004553534,0.0000010539533,0.0006337055,0.00012906833],"about_ca_topic_score_codex":0.0002148532,"about_ca_topic_score_gemma":0.00010100594,"teacher_disagreement_score":0.907431,"about_ca_system_score_codex":0.000110577945,"about_ca_system_score_gemma":0.000007885569,"threshold_uncertainty_score":0.3618384},"labels":[],"label_agreement":null},{"id":"W2031261619","doi":"10.1109/vtcfall.2013.6692183","title":"Energy Efficiency and Capacity Evaluation of LTE-Advanced Downlink CoMP Schemes Subject to Channel Estimation Errors and System Delay","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Efficient energy use; Channel state information; Telecommunications link; Spectral efficiency; Transmission (telecommunications); Channel (broadcasting); Filter (signal processing); Energy consumption; Interference (communication); Real-time computing; Node (physics); Energy (signal processing); Computer network; Wireless; Telecommunications; Engineering","score_opus":0.015307435932901237,"score_gpt":0.23188650050509724,"score_spread":0.216579064572196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031261619","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":[0.41318366,0.00018885736,0.5854001,0.000007727159,0.00008624012,0.00038061204,0.000002844845,0.00012856623,0.00062139815],"genre_scores_gemma":[0.9693856,0.000011212515,0.030419845,0.0000060511334,0.000013464645,0.00011624274,0.0000116429965,0.000020098178,0.000015801596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909085,0.0000452921,0.00030866684,0.00019401564,0.00020623843,0.00015494911],"domain_scores_gemma":[0.9993736,0.000044157718,0.00006905383,0.0001593692,0.00027568755,0.00007813713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002763469,0.00014821267,0.00020947553,0.00014687078,0.00005099529,0.000021649941,0.000049635917,0.00006858446,0.0000087271865],"category_scores_gemma":[0.00005819703,0.0001404067,0.000015024517,0.00021206944,0.000025446603,0.0003601586,0.000021554124,0.000040435054,0.000005000899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002751566,0.0000068988675,0.000075963006,0.00016647622,0.000010678304,6.63626e-8,0.0003018878,0.98394394,0.007447962,0.00078339194,0.000011617462,0.0072483937],"study_design_scores_gemma":[0.0004048882,0.000036175996,0.00032952253,0.00010005858,0.000019878804,0.000007483038,0.00033239918,0.9867601,0.011775796,0.00008003226,0.0000063065445,0.00014737967],"about_ca_topic_score_codex":0.00012763902,"about_ca_topic_score_gemma":0.000034937002,"teacher_disagreement_score":0.556202,"about_ca_system_score_codex":0.00011539598,"about_ca_system_score_gemma":0.0000094535035,"threshold_uncertainty_score":0.5725619},"labels":[],"label_agreement":null},{"id":"W2031321507","doi":"10.1109/tcomm.2015.2408601","title":"Uplink Decentralized Joint Bandwidth and Power Allocation for Energy-Efficient Operation in a Heterogeneous Wireless Medium","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Qatar National Research Fund","keywords":"Telecommunications link; Base station; Computer science; Computer network; Quality of service; Efficient energy use; Benchmark (surveying); Wireless; Bandwidth (computing); Multihoming; Distributed computing; Engineering; Telecommunications; Electrical engineering","score_opus":0.032282928049624626,"score_gpt":0.2585824660237203,"score_spread":0.2262995379740957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031321507","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":[0.009025801,0.00052860635,0.9887582,0.00041951114,0.00033318298,0.00056739815,0.00002613928,0.00020424137,0.00013692719],"genre_scores_gemma":[0.9833441,0.0007074832,0.015104318,0.000042729946,0.000009501619,0.0006542606,0.000053389558,0.000044807522,0.00003943176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999059,0.00007443444,0.00039231428,0.00018109166,0.00010202834,0.00019112836],"domain_scores_gemma":[0.99894077,0.00009570923,0.000040874846,0.00067218696,0.00013568642,0.00011477994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019604682,0.0001620413,0.00018595096,0.00020150578,0.00015511326,0.00004263118,0.00019432732,0.0001055257,0.000006202327],"category_scores_gemma":[0.000009352152,0.00018098595,0.00004422582,0.00022179844,0.000053056447,0.0001479756,0.0000032262526,0.00013841434,0.000005133144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020360481,0.000120623416,0.0000020126795,0.0000127642015,0.000020567491,1.9290273e-7,0.00083014637,0.99283713,0.0031492894,0.0003929157,0.000039942704,0.002574031],"study_design_scores_gemma":[0.001129002,0.000053258216,0.000010013769,0.000048923514,0.000020737743,0.000011427303,0.00016512813,0.9793065,0.018457303,0.00010297016,0.0005081061,0.00018662355],"about_ca_topic_score_codex":0.000056298235,"about_ca_topic_score_gemma":0.0007208255,"teacher_disagreement_score":0.97431827,"about_ca_system_score_codex":0.0002644668,"about_ca_system_score_gemma":0.000050666597,"threshold_uncertainty_score":0.7380393},"labels":[],"label_agreement":null},{"id":"W2031322911","doi":"10.1109/tmc.2014.2318700","title":"An Evolutionary Game for Distributed Resource Allocation in Self-Organizing Small Cells","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Resource allocation; Evolutionary game theory; Mathematical optimization; Macrocell; Game theory; Orthogonal frequency-division multiple access; Distributed computing; Base station; Computer network; Orthogonal frequency-division multiplexing; Mathematics","score_opus":0.007355821565909815,"score_gpt":0.21159318036079433,"score_spread":0.20423735879488453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031322911","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":[0.06299397,0.000030528478,0.9350355,0.0000070499377,0.00040587925,0.0006351555,0.000023776076,0.0008282034,0.000039934737],"genre_scores_gemma":[0.94558364,0.00000613394,0.054061536,0.000015633761,0.00010775355,0.000094681294,0.00005285641,0.00006817872,0.000009602427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988877,0.000071470604,0.00037286483,0.00029116083,0.00008485384,0.00029193645],"domain_scores_gemma":[0.9993023,0.00021806711,0.000059347145,0.0002737118,0.00007340616,0.00007315676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023037542,0.00018548837,0.00018977068,0.00017494553,0.00013991928,0.00003094288,0.0001400162,0.00011638251,0.0000041043654],"category_scores_gemma":[0.000005894549,0.00023234797,0.000052086918,0.0003588491,0.000013356124,0.00015815388,9.803119e-7,0.00019495438,0.000010097173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007966804,0.00008021224,0.000012200162,0.00007356356,0.000011057847,2.9032165e-7,0.00040350694,0.9757096,0.014613502,0.000014804497,0.00001816057,0.0090551],"study_design_scores_gemma":[0.0005173421,0.00009844275,0.000051700452,0.00008076152,0.000014413555,0.000003988924,0.0001648318,0.97224,0.025831401,0.000022096565,0.00074915035,0.00022588146],"about_ca_topic_score_codex":0.00000925439,"about_ca_topic_score_gemma":0.000018307313,"teacher_disagreement_score":0.88258964,"about_ca_system_score_codex":0.00031536873,"about_ca_system_score_gemma":0.000014760468,"threshold_uncertainty_score":0.94748753},"labels":[],"label_agreement":null},{"id":"W2031381105","doi":"10.1109/icc.2014.6884115","title":"On the CDF-based scheduling for multi-cell uplink networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telecommunications link; Computer science; Scheduling (production processes); Base station; Cumulative distribution function; Transmitter power output; Computer network; Real-time computing; Mathematical optimization; Probability density function; Transmitter; Mathematics; Statistics","score_opus":0.016825425742257826,"score_gpt":0.22658259895799865,"score_spread":0.20975717321574083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031381105","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":[0.00064497994,0.000049500217,0.99604595,0.00005290945,0.00028889682,0.0003593686,6.470755e-7,0.0003304871,0.0022272745],"genre_scores_gemma":[0.7946051,0.0000019547865,0.20471467,0.00018284487,0.00010592497,0.000070776594,0.000008019046,0.000040545954,0.00027021032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995472,0.00001192415,0.00013254375,0.000107027656,0.000034477453,0.00016684725],"domain_scores_gemma":[0.9994047,0.00030339728,0.00002298476,0.00020743744,0.000031695025,0.000029768084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016463605,0.000102106256,0.00008783404,0.000024814237,0.00006627966,0.000020231466,0.00009028429,0.00006361381,0.00002042334],"category_scores_gemma":[0.00006534744,0.00007284685,0.000039874205,0.000066397995,0.000007720722,0.00003753633,0.0000055702744,0.000085591746,0.000025831292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003107614,0.000007858347,0.000008368201,0.000020091033,0.0000031740556,3.1385678e-8,0.0000085317015,0.9961339,0.00024680386,0.0025251298,0.00026475164,0.00077820144],"study_design_scores_gemma":[0.0004863766,0.000018448507,0.000002045344,0.000020824076,0.000004056663,7.9841875e-8,0.000010473174,0.9958425,0.0030276957,0.000054880333,0.00043346625,0.00009914585],"about_ca_topic_score_codex":0.000001475416,"about_ca_topic_score_gemma":0.000004156789,"teacher_disagreement_score":0.7939601,"about_ca_system_score_codex":0.000027258295,"about_ca_system_score_gemma":0.0000033648948,"threshold_uncertainty_score":0.29706085},"labels":[],"label_agreement":null},{"id":"W2031604100","doi":"10.1109/wcnc.2014.6952481","title":"Socially aware resource allocation for device-to-device communication in downlink OFDMA networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Orthogonal frequency-division multiple access; Telecommunications link; Resource allocation; Spectral efficiency; Integer programming; Optimization problem; Resource management (computing); Mathematical optimization; Orthogonal frequency-division multiplexing; Bandwidth (computing); Computer network; Scheme (mathematics); Linear programming; Bandwidth allocation; Selfishness; Max-min fairness; Distributed computing; Algorithm; Mathematics","score_opus":0.012115017329291943,"score_gpt":0.24833066204483162,"score_spread":0.23621564471553969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031604100","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":[0.0018041517,0.00017907127,0.9926155,0.00067641854,0.0000860316,0.0007310252,0.0000026481941,0.00035609855,0.003549044],"genre_scores_gemma":[0.94826865,0.00005365816,0.050284393,0.00038215594,0.00016079626,0.00034325966,0.00016492898,0.000060700695,0.00028146774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991531,0.00006231313,0.00033636886,0.00016109047,0.000073039584,0.00021410284],"domain_scores_gemma":[0.99923015,0.00019651608,0.000056549183,0.0003500492,0.00011242336,0.0000543084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037551235,0.00013128514,0.00017238397,0.000094977906,0.000075278745,0.00003120095,0.00021698159,0.00013585505,0.000009845884],"category_scores_gemma":[0.00007528171,0.00014708342,0.000030450137,0.0002904932,0.000009359052,0.00017452799,0.000033219545,0.00011210197,0.000016363483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067479004,0.000008341799,0.00022425085,0.000053963584,0.0000071671197,2.3724725e-8,0.00026008062,0.9829796,0.00020201843,0.0017586799,0.0011240074,0.013375095],"study_design_scores_gemma":[0.00038205125,0.000014954202,0.0005531609,0.00010658581,0.000008201175,2.8914764e-7,0.000159271,0.981598,0.00020903573,0.00017164121,0.016610831,0.00018596134],"about_ca_topic_score_codex":0.000049589937,"about_ca_topic_score_gemma":0.0014160135,"teacher_disagreement_score":0.9464645,"about_ca_system_score_codex":0.0001464575,"about_ca_system_score_gemma":0.000013152326,"threshold_uncertainty_score":0.5997888},"labels":[],"label_agreement":null},{"id":"W2032273363","doi":"10.1109/glocom.2011.6134174","title":"On End-to-End Performance of MIMO Multiuser in Cognitive Radio Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Cognitive radio; MIMO; Computer science; Computer network; Channel state information; Network packet; Scheduling (production processes); Channel (broadcasting); Transmission (telecommunications); Electronic engineering; Telecommunications; Wireless; Engineering; Mathematics; Mathematical optimization","score_opus":0.015927738644038614,"score_gpt":0.21656416534602252,"score_spread":0.2006364267019839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032273363","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":[0.5262236,0.000058214606,0.4400392,0.000001350861,0.00021708071,0.00032826024,0.0000034347645,0.00012475852,0.033004142],"genre_scores_gemma":[0.9921463,0.000029454199,0.007445869,0.000020715082,0.000023090874,0.000026847163,0.0000052032597,0.000026661803,0.0002758408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994458,0.000010813391,0.00020404728,0.00011468435,0.00005807747,0.00016656095],"domain_scores_gemma":[0.99973196,0.000052453106,0.000024185289,0.000113979375,0.00003569813,0.000041696836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070991104,0.00010473491,0.00014454643,0.00011512165,0.000010337262,0.000002411316,0.00006272204,0.00005900837,0.0002484739],"category_scores_gemma":[0.000020668886,0.00010189578,0.000018075221,0.00019398506,0.000013278767,0.00013393981,0.000012148152,0.00009375533,0.0000320943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048331338,0.000024039606,0.0037007565,0.000026518454,0.000012709061,0.0000019002416,0.0009806496,0.990883,0.00018899838,0.00013323249,0.00008921328,0.0039106742],"study_design_scores_gemma":[0.0007505733,0.0001300525,0.0107052885,0.00024284834,0.000006805873,0.0000021087862,0.0001924168,0.9699083,0.017793978,0.000009981258,0.000033137927,0.00022449995],"about_ca_topic_score_codex":0.00003728319,"about_ca_topic_score_gemma":0.00006702198,"teacher_disagreement_score":0.46592274,"about_ca_system_score_codex":0.000039997398,"about_ca_system_score_gemma":0.0000038475728,"threshold_uncertainty_score":0.4155189},"labels":[],"label_agreement":null},{"id":"W2032553690","doi":"10.1109/vetecf.2010.5594569","title":"Location-Assisted Intercell Interference Management Scheme in Next Generation Wireless Networks Using Opportunistic Beamforming","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Beamforming; Interference (communication); Base station; Computer science; Scheme (mathematics); Computer network; Wireless; Channel (broadcasting); Radio resource management; Wireless network; Co-channel interference; Cellular network; Electronic engineering; Telecommunications; Engineering","score_opus":0.045893431697498384,"score_gpt":0.2509029243681712,"score_spread":0.2050094926706728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032553690","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":[0.12861866,0.00002440482,0.8683973,0.0000049001655,0.00070695626,0.00024836118,4.0057873e-7,0.00017084945,0.0018281532],"genre_scores_gemma":[0.9087868,0.000024852368,0.0907857,0.000019122093,0.00010360781,0.000030469884,0.000043410677,0.00003479129,0.00017128604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991092,0.000012507956,0.00038829775,0.00020006442,0.00007260239,0.00021733624],"domain_scores_gemma":[0.99956167,0.000015659612,0.000054935394,0.0002474885,0.00006244396,0.00005778845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012804779,0.00015948988,0.00014284097,0.00016783133,0.000051840707,0.00007386717,0.00013291073,0.00009806364,0.00004905543],"category_scores_gemma":[0.000009126502,0.00017490017,0.000018906294,0.00030954028,0.00001904973,0.00042131532,0.00004536936,0.00021392232,0.000009249778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026371094,0.000017369934,0.0002752275,0.00010141358,0.0000132638625,0.000004904465,0.0001001699,0.8995396,0.08414737,0.0020275847,0.000023032242,0.013747446],"study_design_scores_gemma":[0.00018078697,0.0000055436813,0.00008208762,0.00012360525,0.000007297281,0.000008697209,0.00017443663,0.9981043,0.0010731369,0.000012445145,0.000040387393,0.00018728242],"about_ca_topic_score_codex":0.00003363934,"about_ca_topic_score_gemma":0.00043774696,"teacher_disagreement_score":0.7801681,"about_ca_system_score_codex":0.0001480906,"about_ca_system_score_gemma":0.000011419168,"threshold_uncertainty_score":0.7132222},"labels":[],"label_agreement":null},{"id":"W2033040950","doi":"10.1145/1641776.1641797","title":"An exact path-loss density model for mobiles in a cellular system","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Base station; Computer science; Stochastic geometry; Path loss; Topology (electrical circuits); Position (finance); Stochastic process; Path (computing); Perspective (graphical); Channel (broadcasting); Coverage probability; Cellular network; Wireless; Algorithm; Computer network; Telecommunications; Mathematics; Statistics; Artificial intelligence","score_opus":0.012853923477007801,"score_gpt":0.230023305483258,"score_spread":0.2171693820062502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033040950","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":[0.036457807,0.00022465388,0.95989555,0.000005003869,0.00031775323,0.0015324119,0.0000512496,0.0010143252,0.00050124776],"genre_scores_gemma":[0.8879662,0.00002683308,0.11107999,0.0000054209495,0.00018498197,0.0003146901,0.00021705448,0.00008688242,0.00011794186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985468,0.000035308665,0.00050933927,0.00047925452,0.00011507815,0.00031424605],"domain_scores_gemma":[0.99899715,0.000023744708,0.00008754318,0.0007100483,0.00009241252,0.0000890747],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002531722,0.00036267613,0.0005329317,0.00016209492,0.000030328536,0.000052126456,0.00025322777,0.00045573735,0.0000024563763],"category_scores_gemma":[0.000010886624,0.00038982055,0.0001047273,0.00007543587,0.000009075715,0.00015989318,0.000056871126,0.0002826996,0.000006611273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007735458,0.000023237913,0.000036399182,0.0012450131,0.000013255325,0.000009508362,0.00023731565,0.9956669,0.001311334,0.0010765983,0.000056673438,0.0003159928],"study_design_scores_gemma":[0.00025103914,0.000014759146,0.000011316542,0.00026230438,0.000017209359,0.0000035518187,0.00010738394,0.9957938,0.002358707,0.000769952,0.000011216326,0.00039874154],"about_ca_topic_score_codex":0.000041482843,"about_ca_topic_score_gemma":0.00009405428,"teacher_disagreement_score":0.8515084,"about_ca_system_score_codex":0.0005161615,"about_ca_system_score_gemma":0.00003816657,"threshold_uncertainty_score":0.9998554},"labels":[],"label_agreement":null},{"id":"W2033454007","doi":"10.1109/pimrc.2012.6362721","title":"Distributed beamforming in cognitive multi-cell wireless systems by fast interference coordination","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Beamforming; Computer science; Telecommunications link; Backhaul (telecommunications); Transmitter power output; WSDMA; Interference (communication); Wireless; Cognitive radio; Optimization problem; Distributed coordination function; Base station; Mathematical optimization; Electronic engineering; Computer network; Wireless network; Channel (broadcasting); Algorithm; Telecommunications; Engineering; Precoding; Mathematics; MIMO; Transmitter","score_opus":0.013352927908389215,"score_gpt":0.23487244019811634,"score_spread":0.22151951228972713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033454007","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":[0.060980953,0.00042792677,0.9363572,0.0000023573564,0.0003608255,0.00035318118,0.00007240235,0.00023361947,0.0012115298],"genre_scores_gemma":[0.9981905,0.000014067725,0.00095755176,0.0000031151376,0.00003226816,0.0000812341,0.00027597402,0.000029286735,0.00041598803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921024,0.0000241049,0.00028201318,0.00011906471,0.00007031546,0.00029427823],"domain_scores_gemma":[0.999672,0.000059180846,0.000050822397,0.000082098064,0.000065858214,0.000070034104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011750477,0.00014852454,0.0001678496,0.0000822809,0.000027512178,0.000026418207,0.00006929276,0.00008587006,0.000010400971],"category_scores_gemma":[0.000024484736,0.00015263405,0.000016250768,0.00022423867,0.000013447428,0.0006250196,0.000021126438,0.00011587471,0.000029697232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042866603,0.0007216247,0.046972528,0.0011445645,0.000087654655,0.0000048889947,0.005497243,0.8240947,0.104182415,0.0005683409,0.0024311615,0.014252009],"study_design_scores_gemma":[0.0008475157,0.000013030274,0.00018118664,0.00020339977,0.000007423842,0.0000040369346,0.0028153758,0.97838074,0.017172169,6.434497e-7,0.0001127974,0.00026166535],"about_ca_topic_score_codex":0.00007130226,"about_ca_topic_score_gemma":0.000024257592,"teacher_disagreement_score":0.93720955,"about_ca_system_score_codex":0.00020223853,"about_ca_system_score_gemma":0.000004432123,"threshold_uncertainty_score":0.6224236},"labels":[],"label_agreement":null},{"id":"W2033578584","doi":"10.1109/tvt.2015.2417500","title":"Energy-Efficient Adaptive Power Allocation for Incremental MIMO Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hybrid automatic repeat request; Mathematical optimization; Network packet; Geometric programming; MIMO; Automatic repeat request; Optimization problem; Computer science; Telecommunications link; Mathematics","score_opus":0.013348524598666292,"score_gpt":0.21829698709807266,"score_spread":0.20494846249940638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033578584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009124534,0.00040525955,0.9872004,0.00006797634,0.0012364788,0.00058493024,0.000035392964,0.0010929856,0.0002520426],"genre_scores_gemma":[0.99262697,0.000014236993,0.0064233784,0.0000146815755,0.000025924355,0.00070710795,0.000012111021,0.00006223002,0.00011333826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990084,0.000023524262,0.00028987788,0.00026226856,0.00014681437,0.00026909012],"domain_scores_gemma":[0.9993423,0.000024986226,0.00005283893,0.0003215479,0.00018449964,0.000073807416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011804313,0.00020237037,0.00021395255,0.0004322458,0.00008924236,0.000016010223,0.00014691082,0.00030215044,0.000003882795],"category_scores_gemma":[0.000005361286,0.00021935946,0.00006497408,0.00042461068,0.000054638138,0.0000901281,0.0000012127405,0.00016127578,0.000027808943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002386936,0.00006461115,7.161168e-7,0.000014734858,0.00006714866,0.0000022413067,0.000065385815,0.98724705,0.00880872,0.0018997887,0.00015136773,0.0016543684],"study_design_scores_gemma":[0.00079009007,0.0002461405,3.2077477e-7,0.00004464971,0.00003497114,0.000032943604,0.0007682957,0.8976699,0.09774658,0.00010970643,0.0023137513,0.00024264013],"about_ca_topic_score_codex":0.000020847829,"about_ca_topic_score_gemma":0.000018423092,"teacher_disagreement_score":0.98350245,"about_ca_system_score_codex":0.00041654074,"about_ca_system_score_gemma":0.000028471448,"threshold_uncertainty_score":0.8945219},"labels":[],"label_agreement":null},{"id":"W2033708275","doi":"10.1109/bwcca.2011.83","title":"An Online Evolutionary Programming Method for Parameters of Wireless Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Evolutionary computation; Wireless network; Scheduling (production processes); Computation; Handover; Network packet; Evolutionary programming; Set (abstract data type); Wireless; Distributed computing; Evolutionary algorithm; Computer network; Mathematical optimization; Artificial intelligence; Algorithm; Telecommunications","score_opus":0.036043063476221146,"score_gpt":0.2740425551262079,"score_spread":0.23799949164998674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033708275","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":[0.004202549,0.000090831854,0.99471533,0.0000013354597,0.00015114972,0.00037749944,0.000007381867,0.00027424333,0.00017970132],"genre_scores_gemma":[0.33460426,0.0000056385607,0.66524184,0.0000039335073,0.00002520359,0.0000421235,0.00003732542,0.000023225255,0.00001641938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994587,0.000017180997,0.00021853432,0.00011093706,0.000039398954,0.00015524881],"domain_scores_gemma":[0.99964505,0.00004515196,0.00004077087,0.00016266333,0.000063113795,0.000043268403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009727746,0.00008847279,0.00014100598,0.000047867965,0.00001868174,0.000003063738,0.00008214689,0.00006629914,0.000007876352],"category_scores_gemma":[0.000008817996,0.00008700426,0.000037904738,0.00011135762,0.000013659362,0.00016558335,0.000006708595,0.000044262913,3.5059097e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013490656,0.00004652148,0.0002254419,0.00005770597,0.000025355372,2.4047557e-7,0.00015542957,0.9194771,0.00054014043,0.0006883113,0.00003704321,0.07873321],"study_design_scores_gemma":[0.00016791842,0.000070056296,0.00014324044,0.000018742378,0.000012875927,0.0000022593558,0.00017494752,0.99750614,0.0016191106,0.00011306703,0.00006829142,0.000103375525],"about_ca_topic_score_codex":0.00003487657,"about_ca_topic_score_gemma":0.000024424648,"teacher_disagreement_score":0.33040172,"about_ca_system_score_codex":0.000027071981,"about_ca_system_score_gemma":0.000005063558,"threshold_uncertainty_score":0.35479307},"labels":[],"label_agreement":null},{"id":"W2034111115","doi":"10.1145/2641798.2641815","title":"Towards mobility-aware predictive radio access","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Leverage (statistics); Radio access network; Quality of service; Radio resource management; Enhanced Data Rates for GSM Evolution; Computer network; Cellular network; Resource allocation; Quality of experience; Distributed computing; Base station; Wireless network; Telecommunications; Wireless; Machine learning","score_opus":0.009418664583249723,"score_gpt":0.24189302068366642,"score_spread":0.2324743561004167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034111115","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":[0.0022701074,0.00003521553,0.9472534,0.000015966049,0.00034037058,0.00020040285,0.0000053016574,0.0008467679,0.04903249],"genre_scores_gemma":[0.9949627,0.00001158394,0.0044649066,0.00002138577,0.0001310478,0.000047157715,0.000011580199,0.000030289253,0.0003193569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994669,0.00001807011,0.00014830501,0.00014035244,0.00007841067,0.00014797073],"domain_scores_gemma":[0.99961805,0.000027627997,0.000015746025,0.0002323355,0.00004904015,0.00005716905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008975842,0.00010415486,0.00012696844,0.000044352262,0.000026970098,0.000029894349,0.00015005773,0.000059621525,0.00010544225],"category_scores_gemma":[0.000036140154,0.000097025826,0.000026594063,0.00012613036,0.000014786361,0.00037485053,0.000030765197,0.000071104536,0.0000341741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029801895,0.0000083396935,0.00046255035,0.000059424186,0.0000149266225,3.004538e-7,0.00010157626,0.9925569,0.00011677302,0.0005362708,0.001115939,0.0050239726],"study_design_scores_gemma":[0.00022474179,0.000024113278,0.0012721781,0.000016457268,0.000006677438,0.0000026401258,0.000042237825,0.9913808,0.004119173,0.00046575873,0.002291944,0.00015325939],"about_ca_topic_score_codex":0.000017469767,"about_ca_topic_score_gemma":0.000011490706,"teacher_disagreement_score":0.9926926,"about_ca_system_score_codex":0.00008415102,"about_ca_system_score_gemma":0.000006998046,"threshold_uncertainty_score":0.39565983},"labels":[],"label_agreement":null},{"id":"W2034399071","doi":"10.1109/glocom.2014.7037521","title":"Analysis of multi-tier uplink cellular networks with energy harvesting and flexible cell association","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Telecommunications link; Base station; Computer science; Energy harvesting; Cellular network; Stochastic geometry; Interference (communication); Computer network; Energy (signal processing); Efficient energy use; Signal-to-noise ratio (imaging); Coverage probability; Electronic engineering; Real-time computing; Channel (broadcasting); Telecommunications; Electrical engineering; Engineering; Mathematics; Statistics","score_opus":0.004720419684125418,"score_gpt":0.17555974042868827,"score_spread":0.17083932074456284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034399071","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":[0.00885442,0.00016358041,0.98772186,0.0000022563172,0.000042027852,0.00004339015,8.130303e-7,0.00014490394,0.0030267495],"genre_scores_gemma":[0.94692016,0.000023888799,0.050461177,0.000008747292,0.00002880833,0.000005952174,0.000027004637,0.000023612633,0.0025006426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994458,0.000021376974,0.00019865106,0.00012418823,0.00007125693,0.00013870829],"domain_scores_gemma":[0.9995843,0.00007677515,0.00010091277,0.00012866191,0.000070445174,0.000038905593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015260508,0.00009731015,0.00021841735,0.0001331607,0.000028633744,0.000018065448,0.000037304053,0.000080401915,0.000010879426],"category_scores_gemma":[0.000018110553,0.000089201305,0.00002831905,0.0004657451,0.0000072499865,0.00012726309,0.000010985134,0.000048973554,5.7731535e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012520746,0.0000058225296,0.01833366,0.00001804074,0.00012951253,1.08436986e-7,0.000036121015,0.97849375,0.0018449067,0.00008300218,0.000012742659,0.0010411007],"study_design_scores_gemma":[0.00022830043,0.000013115502,0.0006827687,0.000010016595,0.00018927603,9.0875e-8,0.00001804852,0.99076015,0.00784192,0.0000023628963,0.00014674931,0.00010718715],"about_ca_topic_score_codex":0.00009539134,"about_ca_topic_score_gemma":0.00011066685,"teacher_disagreement_score":0.93806577,"about_ca_system_score_codex":0.00005013237,"about_ca_system_score_gemma":0.000002710769,"threshold_uncertainty_score":0.36375237},"labels":[],"label_agreement":null},{"id":"W2034777843","doi":"10.1109/icc.2010.5502200","title":"Closed-Form Path-Loss Predictor for Gaussianly Distributed Nodes","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Emulation; Computer science; Path loss; Geolocation; Software deployment; Fidelity; Computer network; Gaussian; Base station; Monte Carlo method; Quality of service; Path (computing); Wireless sensor network; Wireless network; Distributed computing; Wireless; Telecommunications; Mathematics","score_opus":0.009396512082973246,"score_gpt":0.23079614600080703,"score_spread":0.2213996339178338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034777843","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":[0.005105885,0.0001557367,0.9836215,0.00005430255,0.0027935558,0.0015155069,0.0025503219,0.0017360012,0.0024672195],"genre_scores_gemma":[0.875284,0.00010302054,0.11680417,0.00001747669,0.00094418373,0.0009903105,0.004565063,0.00022621767,0.0010655334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984153,0.000009515414,0.0005523191,0.00043655402,0.00015758262,0.00042875548],"domain_scores_gemma":[0.9987731,0.00007531516,0.00013182119,0.0007191837,0.00015848955,0.00014206303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012950663,0.00045489316,0.00047839392,0.00009751592,0.000067781366,0.000088930596,0.00036233175,0.0008176621,0.000077975375],"category_scores_gemma":[0.000093316725,0.00043469173,0.00018081386,0.000088800705,0.00003780336,0.00015448511,0.00017296697,0.0006588234,0.00003603249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034062683,0.00005304143,0.0005177804,0.0027306678,0.0002342256,0.000007471276,0.0002718182,0.9806938,0.001688302,0.0037853702,0.0069188247,0.0030645896],"study_design_scores_gemma":[0.0009370168,0.000030345032,0.0005852481,0.0003272652,0.000091144,0.000008302811,0.000050218474,0.9739563,0.004968234,0.005388478,0.012639006,0.0010184626],"about_ca_topic_score_codex":0.000015800319,"about_ca_topic_score_gemma":0.000041027295,"teacher_disagreement_score":0.87017816,"about_ca_system_score_codex":0.00019737094,"about_ca_system_score_gemma":0.000057288395,"threshold_uncertainty_score":0.9998105},"labels":[],"label_agreement":null},{"id":"W2035606571","doi":"10.1109/ciss.2008.4558664","title":"Multiuser linear precoding for cooperating base stations with asynchronous interference","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Telecommunications link; Asynchronous communication; Computer science; Base station; Zero-forcing precoding; Cyclic prefix; Duality (order theory); Interference (communication); Orthogonal frequency-division multiplexing; Multiplexing; MIMO; Mathematical optimization; Mathematics; Computer network; Telecommunications; Beamforming; Channel (broadcasting)","score_opus":0.023825793639861786,"score_gpt":0.23803144212857305,"score_spread":0.21420564848871126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035606571","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":[0.026201623,0.00002683622,0.97158515,0.000007956867,0.00008270072,0.00038045907,0.000011949828,0.00037828198,0.0013250404],"genre_scores_gemma":[0.63735527,0.000008916498,0.36216158,0.000010051156,0.000035169924,0.000081277794,0.00001862132,0.000026874692,0.00030221583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951726,0.0000065048393,0.00016471931,0.00012309189,0.00003904591,0.00014937886],"domain_scores_gemma":[0.9996348,0.00007781015,0.000021850883,0.000114011156,0.00011111729,0.000040399787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029130877,0.000102151855,0.00010135623,0.000044714754,0.00011443416,0.00001235142,0.000049262406,0.000029268442,0.000037385227],"category_scores_gemma":[0.000047235088,0.000089023626,0.000014064677,0.00009740932,0.000015079923,0.00025961388,0.0000072166395,0.000055915523,0.000012306491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056257645,0.000007955886,0.0002854488,0.00003892466,0.000012351137,0.0000013008755,0.0005889876,0.99547756,0.0027474577,0.00010259215,0.00012476307,0.0006070455],"study_design_scores_gemma":[0.00041855,0.000056440407,0.00003416062,0.000045115434,0.0000048294146,0.000014648698,0.00016296882,0.9874535,0.011555285,0.0000023749203,0.0001099773,0.00014212861],"about_ca_topic_score_codex":0.000009199582,"about_ca_topic_score_gemma":0.000082169565,"teacher_disagreement_score":0.61115366,"about_ca_system_score_codex":0.000055293654,"about_ca_system_score_gemma":0.000020441088,"threshold_uncertainty_score":0.3630278},"labels":[],"label_agreement":null},{"id":"W2035915189","doi":"10.1109/icc.2014.6883872","title":"Energy efficiency and spectral efficiency trade-off for OFDM systems with imperfect channel estimation","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Orthogonal frequency-division multiplexing; Mathematical optimization; Channel (broadcasting); Spectral efficiency; Computer science; Transmission (telecommunications); Efficient energy use; Imperfect; Path loss; Path (computing); Bit error rate; Power budget; Function (biology); Power (physics); Mathematics; Wireless; Telecommunications; Electric power system; Engineering; Computer network","score_opus":0.004530582248579364,"score_gpt":0.19314294755067096,"score_spread":0.1886123653020916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035915189","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":[0.011228415,0.00042213904,0.98479694,0.00001618199,0.0002648918,0.00040840573,0.00000414378,0.00041650428,0.0024423657],"genre_scores_gemma":[0.9926958,0.000021799313,0.0068645175,0.00000858266,0.000108727676,0.00009868488,0.00001579604,0.000048343678,0.00013776119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913824,0.000019229334,0.00022761383,0.00022898693,0.00010437917,0.0002815596],"domain_scores_gemma":[0.9995987,0.000090229245,0.000045938566,0.00016555244,0.000026844782,0.00007273876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015213367,0.00018774424,0.00021610853,0.00010368266,0.0000871495,0.000049839433,0.00007247227,0.00007065536,0.0000021661097],"category_scores_gemma":[0.0000220675,0.0001526917,0.000025566917,0.00017082835,0.000026836331,0.00018771779,0.000006644472,0.000044964985,0.0000018320484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007713193,0.00001210068,0.000013079183,0.00014732376,0.0000088891475,2.540328e-7,0.00012780087,0.99220604,0.0008716781,0.0040841205,0.00005805557,0.0024629496],"study_design_scores_gemma":[0.0005680753,0.0002399045,0.00003304149,0.000054750668,0.000015444562,0.000028742455,0.00006488289,0.99634814,0.0021965194,0.000047906513,0.00018445094,0.00021812227],"about_ca_topic_score_codex":0.000021126665,"about_ca_topic_score_gemma":0.000014349475,"teacher_disagreement_score":0.98146737,"about_ca_system_score_codex":0.000057218604,"about_ca_system_score_gemma":0.000008826696,"threshold_uncertainty_score":0.6226587},"labels":[],"label_agreement":null},{"id":"W2036529999","doi":"10.1109/ncc.2013.6487912","title":"Uplink power allocation schemes for heterogeneous cellular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Throughput; Telecommunications link; Quality of service; Interference (communication); Energy consumption; Power (physics); Cellular network; Signal-to-noise ratio (imaging); Computer network; Signal-to-interference-plus-noise ratio; Heterogeneous network; Base station; Mathematical optimization; Wireless; Wireless network; Telecommunications; Engineering; Mathematics","score_opus":0.006012199368243096,"score_gpt":0.19481374616268485,"score_spread":0.18880154679444175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036529999","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":[0.005515624,0.00041153532,0.9917713,0.000022436567,0.00030269296,0.00055074756,4.9405486e-7,0.00040898556,0.0010162222],"genre_scores_gemma":[0.94778526,0.000015505375,0.051205833,0.00003575164,0.000081106715,0.00020256237,0.00003245254,0.00004407708,0.00059742783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995169,0.000003577738,0.0001622441,0.00011072524,0.000034581546,0.00017195726],"domain_scores_gemma":[0.9996845,0.000019468269,0.000015965805,0.00016369838,0.00007367622,0.00004268825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003230726,0.00009935087,0.00008928902,0.000029529592,0.000030333453,0.000028661001,0.000062197374,0.00007787582,0.0001554059],"category_scores_gemma":[0.000008462183,0.000097564225,0.00003384529,0.00005851123,0.000006418488,0.00016885203,0.00000859135,0.000037334838,0.0000793614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.567278e-7,0.0000037645382,0.000013599221,0.000015905483,0.000013549831,1.1359245e-7,0.000017088452,0.99062705,0.006027694,0.00035561807,0.0011345232,0.0017903459],"study_design_scores_gemma":[0.00013706609,0.00001295182,0.0000034261745,0.000006839531,0.0000037064326,0.0000016792261,0.000011629135,0.9785135,0.018895704,0.000094142866,0.0021973161,0.00012205211],"about_ca_topic_score_codex":0.000004885003,"about_ca_topic_score_gemma":0.0000020595762,"teacher_disagreement_score":0.9422697,"about_ca_system_score_codex":0.000036026267,"about_ca_system_score_gemma":0.000002539756,"threshold_uncertainty_score":0.39785537},"labels":[],"label_agreement":null},{"id":"W2036581396","doi":"10.1109/glocom.2011.6134503","title":"A Geometric Probability Model for Capacity Analysis and Interference Estimation in Wireless Mobile Cellular Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Interference (communication); Base station; Computer science; Probability density function; Stochastic geometry; Channel (broadcasting); Cellular network; Coverage probability; Probability distribution; Wireless; Channel capacity; Topology (electrical circuits); Cumulative distribution function; Algorithm; Mathematics; Telecommunications; Statistics","score_opus":0.033196982555933514,"score_gpt":0.21916216065966965,"score_spread":0.18596517810373614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036581396","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":[0.34358186,0.00004366051,0.65557134,2.1428808e-7,0.000027758599,0.0005557503,0.000008100112,0.00009145528,0.00011985869],"genre_scores_gemma":[0.919137,0.0000065412323,0.080378994,5.970921e-7,0.0000032407515,0.0004228709,0.000012139129,0.000012489452,0.000026120346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992863,0.00001667192,0.0003045781,0.00019650311,0.000051458508,0.00014446647],"domain_scores_gemma":[0.99962485,0.000038868842,0.000042879507,0.00018516909,0.000067684916,0.000040561885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022035078,0.00011162236,0.00023887385,0.00042965257,0.000019464105,0.000018426203,0.00006443888,0.0000713849,0.0000042689967],"category_scores_gemma":[0.000030491632,0.00010877352,0.00003263588,0.00087717385,0.000017321758,0.00024736914,0.000013962486,0.000052934072,0.0000010213712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042845213,0.00001997343,0.0018418515,0.00025431253,0.00003512383,1.0268743e-7,0.0005412779,0.9953959,0.0006374995,0.0005640708,9.674873e-7,0.00070463686],"study_design_scores_gemma":[0.00011076499,0.000018532779,0.00020725932,0.000016404714,0.00004616718,3.9245592e-7,0.000061783634,0.9959009,0.0029276705,0.0005930107,1.3510709e-7,0.000116957606],"about_ca_topic_score_codex":0.00023245222,"about_ca_topic_score_gemma":0.00020070297,"teacher_disagreement_score":0.57555515,"about_ca_system_score_codex":0.000117003605,"about_ca_system_score_gemma":0.000005617592,"threshold_uncertainty_score":0.44356555},"labels":[],"label_agreement":null},{"id":"W2037153888","doi":"10.1109/surv.2013.042313.00226","title":"A Survey of Energy Efficient Resource Management Techniques for Multicell Cellular Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":151,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Radio resource management; Cellular network; Resource management (computing); Context (archaeology); Efficient energy use; Stochastic geometry; Resource allocation; Resource (disambiguation); Computer network; Distributed computing; Process (computing); Key (lock); Heterogeneous network; Telecommunications; Wireless network; Wireless; Engineering; Computer security","score_opus":0.027293097815925087,"score_gpt":0.25829487243849797,"score_spread":0.23100177462257288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037153888","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":[0.0012792184,0.0013388577,0.9927719,0.000010685253,0.00072345306,0.0012646255,0.000064029264,0.00036987689,0.0021773027],"genre_scores_gemma":[0.95114076,0.00039678486,0.046473596,0.000007975109,0.0001240215,0.0010764708,0.0004160399,0.00008202404,0.0002822963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745494,0.0011641745,0.0007663205,0.00020260514,0.00013560183,0.00027636217],"domain_scores_gemma":[0.99582213,0.0014037954,0.00021835684,0.0020213933,0.00046801657,0.000066319095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028787318,0.000210644,0.00037608724,0.00015937313,0.00013130215,0.00004222945,0.0008698154,0.00014488844,0.000010157345],"category_scores_gemma":[0.00013103565,0.00023079745,0.00007537914,0.00044733353,0.00009785654,0.00010188638,0.00013324484,0.00009978685,0.000007984765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005520398,0.00011278878,0.00010082506,0.00009803552,0.00009641563,1.2382678e-7,0.00009302991,0.98409176,0.005185886,0.0007735536,0.0025425872,0.0068994723],"study_design_scores_gemma":[0.0005306777,0.00003741477,0.00096586253,0.00012348304,0.000049821952,3.2283597e-7,0.000069541245,0.95165527,0.022132605,0.000056364803,0.023935853,0.00044276824],"about_ca_topic_score_codex":0.0008271207,"about_ca_topic_score_gemma":0.00017236503,"teacher_disagreement_score":0.9498616,"about_ca_system_score_codex":0.00012069034,"about_ca_system_score_gemma":0.000012475228,"threshold_uncertainty_score":0.9411647},"labels":[],"label_agreement":null},{"id":"W2037208416","doi":"10.1109/vtcfall.2014.6965824","title":"A Novel Base Stations-Mobile Stations Association Policy for Cellular Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Base station; Computer science; Rayleigh fading; Cellular network; Fading; Computer network; Coverage probability; Path loss; Poisson point process; Association (psychology); Homogeneous; Interference (communication); Association scheme; Stochastic geometry; Point process; Telecommunications; Statistics; Wireless; Mathematics; Channel (broadcasting)","score_opus":0.006400044157571065,"score_gpt":0.2267148656573658,"score_spread":0.22031482149979473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037208416","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":[0.0004681652,0.000030831867,0.9956829,0.00006995843,0.00024815337,0.00058631535,0.000056599125,0.00041592694,0.0024411655],"genre_scores_gemma":[0.7758326,0.000018249484,0.21885556,0.00012140646,0.0005310554,0.00068789686,0.0004659752,0.000081303464,0.0034059528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992852,0.000016870248,0.00024946508,0.00012884452,0.00008501799,0.00023455934],"domain_scores_gemma":[0.9992811,0.00027236974,0.000070476155,0.00015813597,0.00015847344,0.000059440157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020425075,0.00010966205,0.000121114186,0.00011640685,0.00009163752,0.000039321,0.000058019974,0.00008365282,0.000026870135],"category_scores_gemma":[0.00022370281,0.00012211957,0.000041836982,0.00026520574,0.0000051770335,0.00022851564,0.0000072758057,0.0000605249,0.000018375631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013580574,0.00001458523,0.000055915156,0.000022998558,0.000017147526,2.2577732e-8,0.00010093188,0.98601466,0.0032905315,0.006872458,0.002275139,0.0013342252],"study_design_scores_gemma":[0.00050570397,0.000024061439,0.000035093726,0.000007879625,0.00001344323,2.8065944e-7,0.00007255387,0.9886155,0.001046065,0.00031907405,0.009218327,0.00014200287],"about_ca_topic_score_codex":0.000038076432,"about_ca_topic_score_gemma":0.00007073527,"teacher_disagreement_score":0.77682734,"about_ca_system_score_codex":0.00031642886,"about_ca_system_score_gemma":0.000021889753,"threshold_uncertainty_score":0.49798915},"labels":[],"label_agreement":null},{"id":"W2037719867","doi":"10.1109/tvt.2012.2221753","title":"Secondary User Access in LTE Architecture Based on a Base-Station-Centric Framework With Dynamic Pricing","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Base station; Computer science; Computer network; Handover; Cognitive radio; Wireless; Service provider; Incentive; Dynamic pricing; Spectrum management; Frequency allocation; Service (business); Telecommunications; Business","score_opus":0.005328248227162346,"score_gpt":0.22489214002199212,"score_spread":0.21956389179482977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037719867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.083409175,0.00012380778,0.914533,0.00020695216,0.0002949728,0.00052562397,0.000021521446,0.00079079444,0.00009415571],"genre_scores_gemma":[0.96701926,0.000020963675,0.032486234,0.00010443394,0.000016059383,0.00023486716,0.000011377511,0.00008811546,0.000018680497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877703,0.000043709613,0.00027215396,0.000283887,0.00015970654,0.00046353412],"domain_scores_gemma":[0.99924624,0.00012067398,0.000058774614,0.0004659667,0.000040148796,0.000068221816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000095300755,0.00027517296,0.00025826512,0.001363726,0.00009491494,0.000022859309,0.00021657586,0.0003975228,0.00005628017],"category_scores_gemma":[0.000012470303,0.00026398522,0.000050538634,0.0016703368,0.00005426763,0.0002673244,0.0000014918141,0.0010643834,0.000025051662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034636207,0.000112254565,0.00030474816,0.00007609255,0.000029398247,0.000013674174,0.0000945603,0.988002,0.00091453484,0.00006722974,0.0000039095817,0.010346942],"study_design_scores_gemma":[0.0019411192,0.00022671212,0.00066368986,0.0006595307,0.00007038619,0.00005953411,0.00017793855,0.9510912,0.04355174,0.00031905336,0.0004925081,0.00074662967],"about_ca_topic_score_codex":0.000008488715,"about_ca_topic_score_gemma":0.00009439367,"teacher_disagreement_score":0.88361007,"about_ca_system_score_codex":0.00032026778,"about_ca_system_score_gemma":0.000033451328,"threshold_uncertainty_score":0.9999812},"labels":[],"label_agreement":null},{"id":"W2037845718","doi":"10.1109/aiccsa.2013.6616468","title":"Channel capacity maximization in MIMO-SDMA based cognitive networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"MIMO; Computer science; Telecommunications link; Space-division multiple access; Multi-user MIMO; 3G MIMO; Channel (broadcasting); MIMO-OFDM; Precoding; Beamforming; Multiplexing; Interference (communication); Spatial multiplexing; Channel capacity; Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.0111446612481528,"score_gpt":0.1898636044051951,"score_spread":0.1787189431570423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037845718","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":[0.010859475,0.00004151755,0.98253596,0.00002194314,0.00020102397,0.0004989418,0.0000025769552,0.00032685936,0.005511699],"genre_scores_gemma":[0.9934485,0.000011364761,0.006067913,0.000081116625,0.000054142893,0.0001398572,0.000045520985,0.000035185418,0.0001163858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935716,0.000024860181,0.00020371635,0.00013842779,0.000060299,0.000215545],"domain_scores_gemma":[0.9996851,0.000053589236,0.000026014595,0.000100456455,0.00008405025,0.000050772764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060197668,0.00012721078,0.00013030603,0.000107163556,0.000022870816,0.00002451745,0.000050304887,0.00010068666,0.0002237082],"category_scores_gemma":[0.000036126115,0.00013217749,0.000020620286,0.00027792488,0.000014760426,0.00033919569,0.00000814146,0.00010425497,0.000081412014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018666856,0.000010438371,0.0004767619,0.000018506289,0.000004366317,5.916119e-7,0.00006297405,0.998387,0.00007736179,0.000036685044,0.00019907542,0.0007243755],"study_design_scores_gemma":[0.00044248506,0.00000874876,0.0015659168,0.000054304415,0.0000030148096,8.8395115e-7,0.0000866154,0.9967506,0.00083101867,0.00008879514,0.00001154174,0.00015608796],"about_ca_topic_score_codex":0.000119981596,"about_ca_topic_score_gemma":0.00014196953,"teacher_disagreement_score":0.98258907,"about_ca_system_score_codex":0.000075199256,"about_ca_system_score_gemma":0.0000048643083,"threshold_uncertainty_score":0.53900415},"labels":[],"label_agreement":null},{"id":"W2037906071","doi":"10.1109/ficloud.2014.46","title":"Courteous Priority Access to the Shared Commercial Radio for Public Safety in LTE Heterogeneous Networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer network; Computer science; Blocking (statistics); Network packet; Heterogeneous network; Quality of service; Computer security; Telecommunications; Wireless; Wireless network","score_opus":0.021262186601396386,"score_gpt":0.2554245951728406,"score_spread":0.2341624085714442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037906071","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":[0.002998651,0.00007794613,0.9933975,0.00059332675,0.0006669491,0.001071874,0.00001460595,0.0002617682,0.000917396],"genre_scores_gemma":[0.99381274,0.000023859388,0.0051828087,0.00031639184,0.00038358764,0.00012343221,0.000040758416,0.000049392213,0.00006704892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902743,0.000047368045,0.00030957683,0.00018510898,0.00008183376,0.00034866936],"domain_scores_gemma":[0.99933743,0.0001531398,0.000034235145,0.00032543074,0.00006178013,0.000087960696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003262183,0.00015096925,0.00021477083,0.00006671329,0.00010273826,0.00013809185,0.00038854068,0.00009254411,0.000025345216],"category_scores_gemma":[0.00009688153,0.00012401355,0.000046546877,0.00023942342,0.00001063302,0.00025431832,0.00006798247,0.000119434546,0.000009033625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001727454,0.000008001057,0.0005885973,0.00001659323,0.000010322516,4.2219202e-7,0.00008342556,0.98351204,0.000010885691,0.00022394973,0.0022552188,0.013273258],"study_design_scores_gemma":[0.00047208185,0.00002464214,0.0012013257,0.000013919061,0.000004812652,0.000005553312,0.000007571167,0.9670833,0.000062921965,0.000035625097,0.0309129,0.00017537703],"about_ca_topic_score_codex":0.000038106555,"about_ca_topic_score_gemma":0.0028774948,"teacher_disagreement_score":0.9908141,"about_ca_system_score_codex":0.0001520761,"about_ca_system_score_gemma":0.000010381292,"threshold_uncertainty_score":0.50571257},"labels":[],"label_agreement":null},{"id":"W2038020237","doi":"10.1109/wcnc.2014.6952368","title":"Analysis of spectrum efficiency and energy efficiency interrelationship in heterogeneous cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Femtocell; Macrocell; Heterogeneous network; Quality of service; Computer science; Mathematical optimization; Efficient energy use; Spectral efficiency; Pareto optimal; Base station; Femto-; Cellular network; Multi-objective optimization; Computer network; Wireless network; Wireless; Mathematics; Telecommunications; Engineering","score_opus":0.004950667748489492,"score_gpt":0.18866893230740786,"score_spread":0.18371826455891838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038020237","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":[0.100301825,0.0004948708,0.8965752,0.0000033062681,0.00007887122,0.00003496522,5.390243e-7,0.00007120653,0.0024392002],"genre_scores_gemma":[0.9991479,0.000035324792,0.0007113666,0.00000512586,0.00001601697,0.0000047477483,0.000008234624,0.000014221603,0.00005707979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992861,0.000035431935,0.0003071293,0.00015062498,0.00006230985,0.00015839995],"domain_scores_gemma":[0.9996482,0.00007948988,0.000041630563,0.00018095892,0.000013575707,0.000036117974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013501228,0.000101631835,0.00022380023,0.0004096675,0.00001906739,0.000009638914,0.00007309557,0.00006450128,0.000022606484],"category_scores_gemma":[0.000020397985,0.00010142937,0.0000447995,0.0009093591,0.000023715162,0.00005422942,0.000018947147,0.000056044362,8.455244e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013050281,0.0000111810705,0.0050472617,0.000007982527,0.00003184878,5.218989e-7,0.00007626566,0.9927681,0.00025211554,0.0010996299,9.729774e-7,0.00070282875],"study_design_scores_gemma":[0.00011219187,0.000020635958,0.0006299238,0.00001253969,0.000048654812,9.650853e-7,0.000014872448,0.99786466,0.0011347546,0.000046216635,0.000015709276,0.00009884413],"about_ca_topic_score_codex":0.000053506945,"about_ca_topic_score_gemma":0.00032106985,"teacher_disagreement_score":0.89884603,"about_ca_system_score_codex":0.0000340227,"about_ca_system_score_gemma":0.000002178866,"threshold_uncertainty_score":0.41361693},"labels":[],"label_agreement":null},{"id":"W2038210465","doi":"10.1109/vtcfall.2012.6399096","title":"Joint Utility Maximization in Two-Tier Networks by Distributed Pareto-Optimal Power Control","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal; McGill University","funders":"","keywords":"Macrocell; Femtocell; Computer science; Maximization; Transmitter power output; Quality of service; Pareto principle; Power control; Mathematical optimization; Utility maximization problem; Computer network; Power (physics); Utility maximization; Base station; Mathematics","score_opus":0.007230800318712017,"score_gpt":0.21408141674317707,"score_spread":0.20685061642446506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038210465","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":[0.006944265,0.0006001509,0.98951626,0.000029723871,0.0004328317,0.00037491985,0.000052146865,0.00035695703,0.0016927616],"genre_scores_gemma":[0.9961,0.000017736482,0.0033654266,0.00004588646,0.000067353394,0.00003104845,0.00027252827,0.00003931872,0.000060711638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988447,0.000051813535,0.0003915919,0.00015631017,0.00009886418,0.00045672132],"domain_scores_gemma":[0.9995222,0.000035183315,0.000048704063,0.0002273681,0.00004806718,0.00011845578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024193349,0.00018689656,0.00024686338,0.00005035212,0.00003091891,0.000021826967,0.00006724182,0.00014376226,0.0002551026],"category_scores_gemma":[0.000045709137,0.00018608636,0.000038773724,0.0002354619,0.000019826868,0.00047302322,0.000016802756,0.00021403482,0.00002150334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011383504,0.000032226144,0.013429941,0.000008439028,0.0000145825425,4.8746233e-7,0.000074996846,0.98273706,0.00019741063,0.0001319657,0.0030849278,0.00027657056],"study_design_scores_gemma":[0.0009335627,0.0000066989764,0.0054961857,0.000012555149,0.000008341256,0.0000022385855,0.00006251497,0.9915836,0.0002980007,0.000008996246,0.0013698902,0.00021744303],"about_ca_topic_score_codex":0.000024797133,"about_ca_topic_score_gemma":0.000017105534,"teacher_disagreement_score":0.9891557,"about_ca_system_score_codex":0.0001640845,"about_ca_system_score_gemma":0.000005090413,"threshold_uncertainty_score":0.7588381},"labels":[],"label_agreement":null},{"id":"W2038329885","doi":"10.1109/twc.2015.2420095","title":"Massive MIMO with Non-Ideal Arbitrary Arrays: Hardware Scaling Laws and Circuit-Aware Design","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":413,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Vetenskapsrådet; Seventh Framework Programme; Queen's University; Queen's University Belfast","keywords":"Computer science; MIMO; Ideal (ethics); Scaling law; Scaling; Computer engineering; Telecommunications; Computer hardware; Theoretical computer science; Law; Mathematics; Political science","score_opus":0.04036578513650016,"score_gpt":0.24541567667276895,"score_spread":0.2050498915362688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038329885","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":[0.0023769047,0.00029317994,0.99464893,0.00017756042,0.00017654567,0.0005873875,0.00006260613,0.0005506555,0.0011262174],"genre_scores_gemma":[0.94331,0.00041295268,0.055634484,0.000043698412,0.000024818804,0.0003595477,0.00003055186,0.00009744624,0.00008644897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988263,0.00012140217,0.00034119852,0.0002555318,0.00018058938,0.00027494706],"domain_scores_gemma":[0.9980814,0.00022934862,0.00007727987,0.001203755,0.0001875755,0.00022062608],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015220362,0.0002783903,0.00028652773,0.00020092557,0.00038368272,0.00007153841,0.00043264098,0.0001438759,0.000006621011],"category_scores_gemma":[0.0000040915934,0.00028951213,0.00004934675,0.00041608838,0.00016891008,0.00045896877,0.0000046721043,0.00050324353,0.000027477901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002282749,0.00009493903,0.000017314851,0.000045334185,0.000094436786,0.00000343647,0.0015280325,0.99173075,0.0007172606,0.0001555685,0.000110901696,0.0054791737],"study_design_scores_gemma":[0.0017456454,0.0001330632,0.00003097273,0.00046521673,0.00012868416,0.000059655424,0.0023858962,0.98256904,0.011085246,0.00026125868,0.00044996545,0.00068533554],"about_ca_topic_score_codex":0.00005356286,"about_ca_topic_score_gemma":0.00014176751,"teacher_disagreement_score":0.94093317,"about_ca_system_score_codex":0.00018802455,"about_ca_system_score_gemma":0.00009432768,"threshold_uncertainty_score":0.9999557},"labels":[],"label_agreement":null},{"id":"W2038804054","doi":"10.1109/isit.2014.6874909","title":"SVD-based estimation for reduced-rank MIMO channel","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Singular value decomposition; Rank (graph theory); MIMO; Estimator; Singular value; Channel (broadcasting); Mathematics; Upper and lower bounds; Algorithm; Estimation theory; Matrix (chemical analysis); Statistics; Mathematical optimization; Applied mathematics; Computer science; Combinatorics; Eigenvalues and eigenvectors; Telecommunications; Physics; Mathematical analysis","score_opus":0.010390014825341302,"score_gpt":0.22861830399245994,"score_spread":0.21822828916711864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038804054","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":[0.00088482705,0.000020613901,0.9931391,0.0000749106,0.00034829817,0.0003364895,0.0000037011698,0.00058343384,0.0046086633],"genre_scores_gemma":[0.8229406,0.0000010397781,0.17645954,0.000042292617,0.00009677933,0.00010822536,0.000049064158,0.00003704414,0.00026540543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999533,0.0000078174335,0.00015474416,0.000110525085,0.00004973565,0.00014419167],"domain_scores_gemma":[0.999674,0.000063046,0.000023482022,0.00015507621,0.00004656031,0.00003781134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009845166,0.00009559625,0.00010414608,0.000060990456,0.00003698661,0.000015228952,0.000054462744,0.00005551482,0.000015905372],"category_scores_gemma":[0.00007662649,0.00009668857,0.000031585678,0.00008120009,0.000006564822,0.00012607091,0.0000031623824,0.000030052563,0.000033670625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031697286,0.0000042239312,0.000001593292,0.00008087184,0.000003850655,3.1965534e-8,0.000024995228,0.991239,0.0030266729,0.0008302227,0.0010952313,0.003690127],"study_design_scores_gemma":[0.00037555673,0.000022180213,0.0000106750185,0.000022595,0.000005875138,5.487661e-7,0.000007719272,0.9725821,0.025268234,0.0005318869,0.0010540191,0.00011862391],"about_ca_topic_score_codex":0.0000033497897,"about_ca_topic_score_gemma":0.00000463412,"teacher_disagreement_score":0.82205576,"about_ca_system_score_codex":0.000041067848,"about_ca_system_score_gemma":0.000005328426,"threshold_uncertainty_score":0.39428455},"labels":[],"label_agreement":null},{"id":"W2039665647","doi":"10.1109/glocomw.2013.6825070","title":"Distributed resource allocation for self-organizing small cell networks: An evolutionary game approach","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Resource allocation; Evolutionary game theory; Distributed computing; Replicator equation; Game theory; Small cell; Resource management (computing); Resource (disambiguation); Evolutionarily stable strategy; Heterogeneous network; Wireless network; Mathematical optimization; Wireless; Cellular network; Computer network; Mathematical economics; Mathematics","score_opus":0.00836044811668655,"score_gpt":0.17901864450375848,"score_spread":0.17065819638707194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039665647","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":[0.0036312137,0.00022235204,0.9917262,0.000019023837,0.00009355471,0.00094365206,0.00000849988,0.0012890243,0.0020664888],"genre_scores_gemma":[0.70815694,0.000011436959,0.29005048,0.000023326444,0.00019915559,0.00025367478,0.0009688489,0.00007212399,0.0002640119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914086,0.000025156065,0.00025784798,0.00022808526,0.00006436958,0.00028368062],"domain_scores_gemma":[0.9994145,0.000046069967,0.000046762634,0.00026877137,0.000128036,0.000095848605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087793895,0.00016303563,0.00013699186,0.00005141766,0.00007225714,0.000047300015,0.00013621217,0.00012460558,0.000019765792],"category_scores_gemma":[0.000014979943,0.0001708353,0.000031595388,0.0002234481,0.000009214939,0.0003882773,0.00002008164,0.00008614782,0.000021300886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019182114,0.000038121012,0.0000892793,0.000075170356,0.000011700154,6.583197e-8,0.00013254647,0.99514115,0.0011065849,0.00024362851,0.00287833,0.0002814823],"study_design_scores_gemma":[0.00028496442,0.000023554026,0.00024771484,0.0000085246575,0.000013601051,0.0000033978754,0.00034425335,0.9962446,0.00049148087,0.00006599902,0.0020574317,0.00021445379],"about_ca_topic_score_codex":0.000016962686,"about_ca_topic_score_gemma":0.0000025885372,"teacher_disagreement_score":0.7045257,"about_ca_system_score_codex":0.00017289321,"about_ca_system_score_gemma":0.000010128132,"threshold_uncertainty_score":0.6966461},"labels":[],"label_agreement":null},{"id":"W2039738951","doi":"10.1109/cwit.2013.6621598","title":"On the achievability of the degrees of freedom for the three-cell MIMO interfering broadcast channel with minimum spatial dimensions","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; MIMO; Base station; Grassmannian; Degrees of freedom (physics and chemistry); Channel (broadcasting); Computer science; Topology (electrical circuits); Scheme (mathematics); Mathematics; Control theory (sociology); Telecommunications; Combinatorics; Physics; Artificial intelligence","score_opus":0.012237240820235092,"score_gpt":0.1936494977848976,"score_spread":0.1814122569646625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039738951","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":[0.26664695,0.00008676293,0.7301872,0.00017701596,0.00027735732,0.001592075,0.000016392785,0.000053130185,0.00096316176],"genre_scores_gemma":[0.9966295,0.0000037619993,0.0030534177,0.000012609884,0.0000378172,0.0001528914,0.0000011154705,0.0000306034,0.00007829586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928933,0.00002713106,0.0002709526,0.00012947326,0.00012209683,0.00016101944],"domain_scores_gemma":[0.9985297,0.0006532772,0.00009719942,0.00057991326,0.00011943743,0.00002052527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014322363,0.00014916903,0.00017028449,0.000023577346,0.00009427107,0.000012019482,0.0003019823,0.000047172627,0.00003857083],"category_scores_gemma":[0.00007747009,0.000061295905,0.00007749895,0.00011681828,0.00012590937,0.000078917685,0.000069495756,0.00011300466,0.0000035023174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027287397,0.000033558754,0.00029822107,0.00007090531,0.00003879891,2.091398e-8,0.00040719498,0.9892171,0.0088686645,0.00047484465,0.00020418587,0.00035918894],"study_design_scores_gemma":[0.00036324994,0.00013287501,0.0014501036,0.00009804461,0.00002859002,9.883621e-7,0.0005837534,0.9779675,0.019091245,0.00015391699,0.000025876807,0.00010386059],"about_ca_topic_score_codex":0.00054199866,"about_ca_topic_score_gemma":0.0010445756,"teacher_disagreement_score":0.72998255,"about_ca_system_score_codex":0.000025688914,"about_ca_system_score_gemma":0.000010416779,"threshold_uncertainty_score":0.24995744},"labels":[],"label_agreement":null},{"id":"W2039775266","doi":"10.1109/vtcspring.2013.6692514","title":"Distributed Subchannel and Power Allocation for OFDMA-Based Femtocell Networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Macrocell; Femtocell; Computer science; Telecommunications link; Transmitter power output; Orthogonal frequency-division multiple access; Base station; Mathematical optimization; Throughput; Interference (communication); Iterative method; Cellular network; Computer network; Power (physics); Orthogonal frequency-division multiplexing; Algorithm; Mathematics; Wireless; Telecommunications; Transmitter","score_opus":0.006148996420799709,"score_gpt":0.18945612831701314,"score_spread":0.18330713189621342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039775266","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":[0.0063892393,0.00017071236,0.9919856,0.00009605942,0.00015715395,0.00065287563,0.000010895382,0.00028666962,0.00025080287],"genre_scores_gemma":[0.9893032,0.000013483294,0.0099644875,0.00004207789,0.000038976563,0.00030427694,0.00014017348,0.000029370429,0.00016396125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995665,0.0000050920717,0.0001362004,0.00010849891,0.00003256856,0.00015116841],"domain_scores_gemma":[0.9997001,0.000044187414,0.000021355594,0.00010183258,0.00008246897,0.00005003964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038894133,0.00009527473,0.00009074054,0.000028665481,0.00003183648,0.000030211755,0.000037458456,0.000068645844,0.000053641706],"category_scores_gemma":[0.00001257964,0.00009130653,0.00001794169,0.00008084445,0.000009252741,0.0001562162,0.0000056494705,0.000034029516,0.000008050017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024504452,0.000005634028,0.00015721604,0.000031749823,0.0000069189164,4.5136485e-8,0.000013627187,0.9953892,0.00080621336,0.00017017437,0.0028668207,0.0005499084],"study_design_scores_gemma":[0.00033768188,0.000015985876,0.00031898398,0.000012528503,0.0000054294956,3.1651658e-7,0.000030062974,0.9970245,0.0016863284,0.0000747125,0.00037705316,0.000116449184],"about_ca_topic_score_codex":0.000013464006,"about_ca_topic_score_gemma":0.000007150495,"teacher_disagreement_score":0.982914,"about_ca_system_score_codex":0.000030088519,"about_ca_system_score_gemma":0.0000035478988,"threshold_uncertainty_score":0.37233722},"labels":[],"label_agreement":null},{"id":"W2039931982","doi":"10.1109/mmsp.2011.6093822","title":"Optimal resource allocation for video streaming over cognitive radio networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Computer science; Resource allocation; Video streaming; Resource management (computing); Computer network; Resource (disambiguation); Telecommunications; Wireless","score_opus":0.014017451697062604,"score_gpt":0.2202390273019892,"score_spread":0.20622157560492657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039931982","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":[0.006246635,0.00014544302,0.9801591,0.0000018219768,0.00013271334,0.00041887048,0.000004651971,0.00037050727,0.012520238],"genre_scores_gemma":[0.93291265,0.000008694194,0.06621643,0.000030623396,0.00014776105,0.00010453156,0.00005370535,0.000056284327,0.00046931158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994167,0.000010409222,0.00018043857,0.00014875663,0.000047741603,0.00019595055],"domain_scores_gemma":[0.99966866,0.00008311807,0.000035730696,0.00010968881,0.0000559157,0.000046869707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008133264,0.000119065306,0.000112473004,0.00004979043,0.000045088647,0.00001346628,0.000057426572,0.00006677524,0.000072332565],"category_scores_gemma":[0.00003468102,0.00012525276,0.000034972538,0.00009494663,0.000013917148,0.00022343374,0.000011003706,0.0000609395,0.0000070653027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002980286,0.000010252518,0.00014248746,0.000025505757,0.000038780072,8.0920904e-7,0.00047318038,0.99394083,0.00015459179,0.00059458346,0.0009556702,0.003633494],"study_design_scores_gemma":[0.0005182638,0.00003563935,0.00030626968,0.000052891777,0.000024692003,0.0000035674293,0.00037099386,0.9949054,0.002731111,0.00002154789,0.00084303156,0.00018659225],"about_ca_topic_score_codex":0.000012917627,"about_ca_topic_score_gemma":0.000011397422,"teacher_disagreement_score":0.926666,"about_ca_system_score_codex":0.000054735086,"about_ca_system_score_gemma":0.000004842583,"threshold_uncertainty_score":0.5107659},"labels":[],"label_agreement":null},{"id":"W2040371660","doi":"10.1002/ett.2794","title":"Empirical MIMO beamforming and channel measurements at 57–64 GHz frequencies","year":2014,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Beamforming; 3G MIMO; Electronic engineering; Precoding; Computer science; Transmission (telecommunications); Channel (broadcasting); Multi-user MIMO; Telecommunications; Engineering","score_opus":0.03785744238824311,"score_gpt":0.27065477664676524,"score_spread":0.23279733425852212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040371660","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":[0.0183107,0.0010444897,0.97114396,0.0015448029,0.00015313606,0.00035220853,0.000010918191,0.0049671414,0.002472648],"genre_scores_gemma":[0.9175429,0.0013232755,0.080666624,0.000025368347,0.000007620769,0.0002447635,0.00001306948,0.000052794858,0.00012362603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988522,0.000052329902,0.0003705278,0.0002490047,0.00015028036,0.00032563735],"domain_scores_gemma":[0.9985651,0.00015297148,0.000069667985,0.0010965809,0.00007400158,0.0000416951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002431006,0.00025199074,0.00024077708,0.0004410553,0.0007000215,0.000034773973,0.0004934304,0.0001962584,0.00001544904],"category_scores_gemma":[0.00009005861,0.00026735006,0.000059665726,0.0005337133,0.00018006869,0.00029204917,0.00003241962,0.00039505222,0.000031200383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000894084,0.00010778029,0.00038397365,0.00010537425,0.0001477096,3.1971493e-7,0.0012379582,0.90708476,0.009027882,0.00026706373,0.00036598815,0.08126226],"study_design_scores_gemma":[0.0018040318,0.0003278487,0.0007692873,0.00058229757,0.00023585556,0.00009120567,0.0070316107,0.7766819,0.16933396,0.0061144163,0.03475393,0.002273663],"about_ca_topic_score_codex":0.000015907686,"about_ca_topic_score_gemma":0.00013784952,"teacher_disagreement_score":0.89923215,"about_ca_system_score_codex":0.00026385539,"about_ca_system_score_gemma":0.000009179364,"threshold_uncertainty_score":0.9999779},"labels":[],"label_agreement":null},{"id":"W2040714707","doi":"10.1109/tmc.2013.36","title":"Two-Tier HetNets with Cognitive Femtocells: Downlink Performance Modeling and Analysis in a Multichannel Environment","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":154,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Heterogeneous network; Computer science; Femto-; Macro; Stochastic geometry; Interference (communication); Computer network; Telecommunications link; Macrocell; Cognitive radio; LTE Advanced; Base station; Rayleigh fading; Transmission (telecommunications); Wireless; Fading; Wireless network; Telecommunications; Channel (broadcasting)","score_opus":0.00782092328080329,"score_gpt":0.20280593295384494,"score_spread":0.19498500967304166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040714707","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":[0.44740954,0.00007066752,0.5519846,0.0000012352335,0.000036097696,0.00037917303,0.0000033901913,0.00007665914,0.00003861983],"genre_scores_gemma":[0.9857266,0.00009045214,0.013926706,0.000008543382,0.000017242439,0.00017151237,0.00000592178,0.00003635977,0.00001665232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903333,0.000026829279,0.00028549344,0.00028511617,0.00011033359,0.00025890913],"domain_scores_gemma":[0.9996458,0.00007380831,0.00003920261,0.00013759214,0.000034902092,0.00006869471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008202008,0.0002026863,0.00024460134,0.00030389015,0.00011070858,0.00003421439,0.000051707717,0.000056835674,0.000025107493],"category_scores_gemma":[7.7865707e-7,0.00020018668,0.000040881067,0.00037289067,0.000027232021,0.0002341626,0.000001670446,0.0002309838,0.000022075676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008657405,0.00003736906,0.00030917692,0.00003588226,0.00010404846,0.0000011972305,0.000888964,0.97827363,0.00025924164,1.5073114e-7,1.3638774e-7,0.020081535],"study_design_scores_gemma":[0.0007247818,0.000064163054,0.000107389445,0.00012256886,0.000093358256,0.000004068473,0.00062292133,0.9964542,0.0015783255,0.0000014160547,6.6939236e-7,0.00022613356],"about_ca_topic_score_codex":0.000052450116,"about_ca_topic_score_gemma":0.000024005325,"teacher_disagreement_score":0.5383171,"about_ca_system_score_codex":0.00010460785,"about_ca_system_score_gemma":0.0000052518863,"threshold_uncertainty_score":0.8163376},"labels":[],"label_agreement":null},{"id":"W2040723905","doi":"10.1109/ciss.2014.6814100","title":"Joint user association and resource allocation in small cell networks with backhaul constraints","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Computer science; Mathematical optimization; Maximization; Computer network; Resource allocation; Small cell; Overlay; Cellular network; Distributed computing; Base station; Mathematics","score_opus":0.005279188662645935,"score_gpt":0.16398440204326659,"score_spread":0.15870521338062066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040723905","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":[0.046710536,0.00003735646,0.9357058,0.000038120557,0.000043193893,0.00019344759,4.5534458e-7,0.00014182732,0.017129298],"genre_scores_gemma":[0.98277944,0.000015622945,0.016415324,0.000043470143,0.000040152336,0.000012966069,0.000014094965,0.000024036093,0.0006548938],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948585,0.000033308275,0.00016561571,0.00011971402,0.000048397276,0.00014711202],"domain_scores_gemma":[0.9997322,0.00005643329,0.000048019752,0.00009565876,0.00003197087,0.000035692694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022890187,0.00009009353,0.000111745016,0.000051441013,0.000017661103,0.000023574574,0.000027009399,0.000087959466,0.000013095753],"category_scores_gemma":[0.000023958095,0.00008528064,0.0000074155028,0.00010512087,0.000011428465,0.00009308492,0.000007976659,0.00009381499,0.000005968577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023446362,0.0000052222686,0.0062826863,0.000023185848,0.000004714539,2.8386356e-7,0.00009946913,0.99124706,0.00036436447,0.0002532704,0.00020187424,0.0015155505],"study_design_scores_gemma":[0.00073759706,0.00002643115,0.0052609765,0.00005758763,0.0000075699513,0.0000025779934,0.00014081543,0.9914128,0.0010383482,0.000024788162,0.0011073503,0.00018311314],"about_ca_topic_score_codex":0.000014389054,"about_ca_topic_score_gemma":0.00024026664,"teacher_disagreement_score":0.9360689,"about_ca_system_score_codex":0.00011962076,"about_ca_system_score_gemma":0.0000040301225,"threshold_uncertainty_score":0.34776437},"labels":[],"label_agreement":null},{"id":"W2040776150","doi":"10.1109/glocom.2011.6133839","title":"Downlink Beamforming for FDD Systems with Precoding and Beam Steering","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Codebook; Precoding; Telecommunications link; Computer science; Base station; WSDMA; Transmission (telecommunications); Electronic engineering; Interference (communication); MIMO; Diversity gain; Beam steering; Antenna (radio); Channel (broadcasting); Smart antenna; Computer network; Telecommunications; Engineering; Directional antenna; Algorithm","score_opus":0.0184383859802737,"score_gpt":0.1876910099390496,"score_spread":0.1692526239587759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040776150","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":[0.015431637,0.0002631556,0.9750506,0.000001026918,0.00022556316,0.0005682845,0.000004467283,0.00045530018,0.007999926],"genre_scores_gemma":[0.852483,0.000023416915,0.14689864,0.0000029664945,0.00006765807,0.00013326782,0.0000054594,0.000053461423,0.00033213358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994239,0.000002778443,0.0001833259,0.00014019058,0.000047234247,0.00020254216],"domain_scores_gemma":[0.9997225,0.000030473382,0.000031708045,0.00012273202,0.000037381178,0.00005522058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008781618,0.00012899267,0.0001531964,0.00006509664,0.000056440098,0.000028568053,0.000051102084,0.0000516614,0.000005469833],"category_scores_gemma":[0.000007879103,0.00010958535,0.000014056716,0.00006756465,0.000010596479,0.00034380844,0.000012860963,0.000047846548,0.0000021191684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002330127,0.000008851656,0.00095443416,0.00096084806,0.00008378426,0.0000016517608,0.0016717479,0.98766613,0.0033078461,0.0020778314,0.000055385033,0.0031881973],"study_design_scores_gemma":[0.00082166115,0.0001339547,0.00008631859,0.00033686863,0.00003826636,0.000060905542,0.0013011048,0.9821646,0.013293577,0.000044552573,0.0012341081,0.0004840476],"about_ca_topic_score_codex":0.000021536069,"about_ca_topic_score_gemma":0.000014829977,"teacher_disagreement_score":0.83705133,"about_ca_system_score_codex":0.000042111882,"about_ca_system_score_gemma":0.000004274871,"threshold_uncertainty_score":0.44687608},"labels":[],"label_agreement":null},{"id":"W2040812804","doi":"10.1109/icc.2013.6655309","title":"Adaptive rate and power transmission for OFDM-based cognitive radio systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Memorial University of Newfoundland","funders":"","keywords":"Cognitive radio; Subcarrier; Orthogonal frequency-division multiplexing; Computer science; Fading; Channel (broadcasting); Transmitter; Bit error rate; Transmitter power output; Interference (communication); Transmission (telecommunications); Throughput; Co-channel interference; Computer network; Electronic engineering; Wireless; Telecommunications; Engineering","score_opus":0.009147728872866991,"score_gpt":0.20618538477706677,"score_spread":0.19703765590419978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040812804","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":[0.0039716037,0.0005242207,0.99161476,0.000023004464,0.00013946205,0.001341581,0.000014016547,0.00025521935,0.0021161519],"genre_scores_gemma":[0.9857387,0.000012878324,0.013418298,0.000020614852,0.00002481677,0.00030832642,0.000016304904,0.000041380783,0.0004187014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994596,0.000021722599,0.00017132513,0.0001431493,0.000044160508,0.0001600429],"domain_scores_gemma":[0.9995649,0.0001542152,0.000024311552,0.000065512904,0.00011394384,0.00007714568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007200392,0.00012996467,0.00015840385,0.000056064386,0.00004030234,0.00003347027,0.000029902403,0.000068873254,0.000048605376],"category_scores_gemma":[0.0000145519525,0.00011207419,0.000025942341,0.0000664291,0.000016811424,0.00022570766,0.000002658153,0.000044319935,0.000018233326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001131179,0.00003980766,0.000051126543,0.0005899766,0.00013876491,0.0000024656167,0.0007760251,0.9463742,0.034825608,0.0022608459,0.0025012018,0.012326885],"study_design_scores_gemma":[0.00085808546,0.000088498935,0.000064895015,0.00014534566,0.0000153395,0.0000022415666,0.00052994676,0.98987406,0.0078007556,0.00008211952,0.00034772992,0.00019095952],"about_ca_topic_score_codex":0.000019466186,"about_ca_topic_score_gemma":0.0000011095151,"teacher_disagreement_score":0.98176706,"about_ca_system_score_codex":0.000033178196,"about_ca_system_score_gemma":0.000008462316,"threshold_uncertainty_score":0.4570253},"labels":[],"label_agreement":null},{"id":"W2041515534","doi":"10.1109/icassp.2013.6638568","title":"Downlink cell association optimization for heterogeneous networks via dual coordinate descent","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coordinate descent; Subgradient method; Computer science; Telecommunications link; Convergence (economics); Mathematical optimization; Base station; Utility maximization problem; Dual (grammatical number); Maximization; Gradient descent; Utility maximization; Distributed computing; Computer network; Algorithm; Mathematics; Artificial neural network","score_opus":0.0043403956897458355,"score_gpt":0.1800587839641273,"score_spread":0.17571838827438147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041515534","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":[0.0018913856,0.00011520224,0.99500436,0.000035962283,0.00059482537,0.00096365594,0.000004865716,0.0005204515,0.00086927554],"genre_scores_gemma":[0.91387975,0.00006597646,0.08439774,0.000054898293,0.00020004873,0.0002683462,0.00015319823,0.00007186484,0.0009081684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991024,0.000019263962,0.00030198708,0.00016986312,0.000089968526,0.00031652534],"domain_scores_gemma":[0.9994133,0.00008572882,0.000090231195,0.00014392557,0.00019562457,0.00007115896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095713025,0.00016307403,0.00016212698,0.000055008128,0.000069153306,0.00006535258,0.00006199028,0.00016981318,0.00016814772],"category_scores_gemma":[0.000027625916,0.00016966066,0.00005624038,0.0001263034,0.000004665884,0.00029571244,0.0000147004985,0.00007509257,0.000048960854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020516136,0.000013116858,0.00010760515,0.000032382937,0.000019497533,2.3167935e-7,0.000027192238,0.99549645,0.00058362854,0.000009518443,0.002192608,0.0015157417],"study_design_scores_gemma":[0.00043048,0.00002707891,0.000019118957,0.000008281268,0.000015803846,0.0000020652487,0.000011609287,0.9956342,0.003392117,0.000031657495,0.00023080014,0.00019681174],"about_ca_topic_score_codex":0.000015670466,"about_ca_topic_score_gemma":0.000007054254,"teacher_disagreement_score":0.9119884,"about_ca_system_score_codex":0.00034892544,"about_ca_system_score_gemma":0.000005034834,"threshold_uncertainty_score":0.69185615},"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":"W2041747642","doi":"10.1109/wcnc.2013.6555072","title":"Block diagonalization precoding game in a multiuser multicell system","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Telecommunications link; Base station; Uniqueness; Computer science; Nash equilibrium; Game theory; Block (permutation group theory); Zero-forcing precoding; Context (archaeology); Mathematical optimization; Mathematics; Telecommunications; MIMO; Mathematical economics; Beamforming; Combinatorics","score_opus":0.006319576263160259,"score_gpt":0.18914813304515407,"score_spread":0.1828285567819938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041747642","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":[0.21372603,0.00019847602,0.77006954,0.000011923781,0.0005122252,0.0012815441,0.0000019615325,0.0013265825,0.012871697],"genre_scores_gemma":[0.98790294,0.000012578036,0.0112358695,0.000008125976,0.000044422435,0.00017103092,0.00000742364,0.000042401436,0.00057521445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992728,0.000021312128,0.0002922498,0.00014255458,0.00007374134,0.00019734557],"domain_scores_gemma":[0.99967146,0.00004697685,0.000030305611,0.0001518839,0.000051226285,0.000048173522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062723564,0.00012280625,0.0001375374,0.00012084747,0.000014469524,0.000034467805,0.00006916973,0.0000761161,0.00006904263],"category_scores_gemma":[0.000025220148,0.00012219655,0.000020576666,0.00020041663,0.000005605627,0.0003839099,0.000014301038,0.00006740699,0.00032510888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.814055e-7,0.000008436233,0.0014826249,0.00016463535,0.000005379274,9.813843e-7,0.00028577325,0.9930715,0.0042429557,0.0002248348,0.00009502409,0.00041718737],"study_design_scores_gemma":[0.00035874883,0.0000035687485,0.00065531646,0.000107188695,0.000002925567,0.0000024551414,0.00023786006,0.9953036,0.0029922954,0.000005662744,0.00018158402,0.00014883716],"about_ca_topic_score_codex":0.00010120209,"about_ca_topic_score_gemma":0.00006327086,"teacher_disagreement_score":0.7741769,"about_ca_system_score_codex":0.00018212276,"about_ca_system_score_gemma":0.0000038048443,"threshold_uncertainty_score":0.49830306},"labels":[],"label_agreement":null},{"id":"W2041862624","doi":"10.1109/pimrc.2013.6666641","title":"A new connectivity metric for cognitive radio networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Metric (unit); Cognitive radio; Algebraic connectivity; Computer science; Metrics; Set (abstract data type); Measure (data warehouse); Graph; Mathematics; Theoretical computer science; Computer network; Data mining; Routing protocol; Wireless; Telecommunications","score_opus":0.00929841707477423,"score_gpt":0.21900955089237045,"score_spread":0.20971113381759623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041862624","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":[0.00086233893,0.00033595678,0.99054605,0.000012032094,0.00026604693,0.0007685897,0.0000019128047,0.00038657113,0.0068204976],"genre_scores_gemma":[0.9512686,0.000015587597,0.04685036,0.000024239242,0.00017374913,0.00014737516,0.0000107090755,0.000033254288,0.0014761131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957407,0.0000075039025,0.00011047071,0.000105393236,0.000033472657,0.00016909243],"domain_scores_gemma":[0.9995159,0.0002528293,0.0000176946,0.000073528776,0.00006965402,0.000070394664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043241573,0.00009113653,0.00012530446,0.00007135692,0.000025229758,0.000024518298,0.00003892923,0.000057637128,0.0002056746],"category_scores_gemma":[0.000089783185,0.00008759854,0.000033334123,0.0002549182,0.0000046716546,0.00024852547,0.0000069665825,0.00004841754,0.000049713948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039776137,0.0000054409447,0.00016165174,0.000022168671,0.000047916237,1.9564628e-7,0.00004695231,0.93873954,0.000110999514,0.0006599376,0.016491627,0.0437096],"study_design_scores_gemma":[0.0006077116,0.000025123882,0.0003756148,0.000014290308,0.000013520233,0.00000248922,0.000058407786,0.99713445,0.0008772224,0.00031209574,0.000428146,0.00015094005],"about_ca_topic_score_codex":0.000064095046,"about_ca_topic_score_gemma":0.000017387585,"teacher_disagreement_score":0.95040625,"about_ca_system_score_codex":0.0000462818,"about_ca_system_score_gemma":0.000006803879,"threshold_uncertainty_score":0.35721648},"labels":[],"label_agreement":null},{"id":"W2041984913","doi":"10.1109/icc.2012.6364193","title":"Opportunistic joint decoding with scheduling and power allocation in OFDMA femtocell networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Computer science; Scheduling (production processes); Computer network; Telecommunications link; Femto-; Orthogonal frequency-division multiple access; Frequency-division multiple access; Multiuser detection; Decoding methods; Orthogonal frequency-division multiplexing; Cellular network; Base station; Telecommunications; Mathematical optimization; Code division multiple access","score_opus":0.018241433161273034,"score_gpt":0.2142053343052768,"score_spread":0.19596390114400378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041984913","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":[0.0783211,0.00052679254,0.9179718,0.0000144847045,0.000119992714,0.00016520573,3.134027e-7,0.00013440367,0.002745917],"genre_scores_gemma":[0.96499205,0.0000943995,0.0347294,0.000017951308,0.00004455052,0.000022079592,0.0000061062547,0.000028905699,0.00006453419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994827,0.0000090397125,0.00016680233,0.00008815829,0.00004577935,0.00020751874],"domain_scores_gemma":[0.9997692,0.000020411671,0.000027143129,0.000087528475,0.00002014363,0.000075588694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013483847,0.00009806775,0.000107949694,0.00007037602,0.00002319146,0.000017609838,0.000024039777,0.000051384915,0.000028051692],"category_scores_gemma":[0.00001162391,0.00008917081,0.000006854292,0.00011734806,0.000009837225,0.0002981887,0.000011556922,0.00008103956,0.00000322787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027663418,0.000007954143,0.010370919,0.000031068274,0.0000067739475,9.2637873e-7,0.0001699677,0.9862241,0.0010071895,0.0010539476,0.000011103662,0.0011132965],"study_design_scores_gemma":[0.00022608998,0.000009694545,0.0020069326,0.0000906825,0.0000065376107,0.000008910624,0.00021913325,0.99681836,0.00041306982,0.0000101840615,0.000038200073,0.00015221052],"about_ca_topic_score_codex":0.000007873319,"about_ca_topic_score_gemma":0.000019383562,"teacher_disagreement_score":0.886671,"about_ca_system_score_codex":0.0000556321,"about_ca_system_score_gemma":0.0000050812596,"threshold_uncertainty_score":0.363628},"labels":[],"label_agreement":null},{"id":"W2042919744","doi":"10.1109/spawc.2012.6292869","title":"Feedback-efficient agile scheduling-beamforming for network MIMO OFDMA systems with realistic channel models","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; MIMO; Beamforming; Channel state information; Precoding; Orthogonal frequency-division multiplexing; Quantization (signal processing); Telecommunications link; Scheduling (production processes); Multi-user MIMO; MIMO-OFDM; Computer network; Channel (broadcasting); Electronic engineering; Real-time computing; Wireless; Algorithm; Telecommunications; Engineering","score_opus":0.019300029573239796,"score_gpt":0.2192058369810546,"score_spread":0.19990580740781483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042919744","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":[0.002870776,0.0013426358,0.98977995,0.000012654473,0.0010359869,0.0010628958,0.000024883939,0.000542788,0.003327422],"genre_scores_gemma":[0.92164755,0.000025310088,0.07613102,0.000016377684,0.0008547844,0.00046591318,0.000052337295,0.00012410362,0.0006826032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984689,0.00001760426,0.00042847713,0.0002109098,0.00017184093,0.00070226955],"domain_scores_gemma":[0.99917924,0.00009137893,0.000104134364,0.00031530546,0.00014153829,0.00016839312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031379532,0.0002620882,0.00034192385,0.00007587535,0.00013120573,0.000050109404,0.00012807382,0.0001126478,0.000007640279],"category_scores_gemma":[0.000019812942,0.0002177199,0.00005457642,0.00025231254,0.000015499134,0.00035111528,0.000023400908,0.00009624445,0.00001479835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013965918,0.00001960545,0.000017003465,0.0002788569,0.000043183143,2.9918206e-7,0.0002621131,0.9932453,0.000075120726,0.0055418434,0.00040697015,0.00009572186],"study_design_scores_gemma":[0.0003909504,0.000026818028,0.0000027072244,0.0002449181,0.000035737714,0.000013662104,0.00032310028,0.99805856,0.00014180201,0.0000660701,0.00038654922,0.0003091571],"about_ca_topic_score_codex":0.000046136767,"about_ca_topic_score_gemma":0.000012090254,"teacher_disagreement_score":0.91877675,"about_ca_system_score_codex":0.00019465045,"about_ca_system_score_gemma":0.000013744932,"threshold_uncertainty_score":0.887836},"labels":[],"label_agreement":null},{"id":"W2043889002","doi":"10.1109/isspit.2007.4458087","title":"Robust Channel Feedback for Collaborative Uplink Beamforming","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Telecommunications link; Base station; Robustness (evolution); Channel state information; Computer science; Channel (broadcasting); Precoding; Transmitter power output; Control theory (sociology); Telecommunications; MIMO; Wireless; Transmitter","score_opus":0.021810352416050182,"score_gpt":0.23425037647386993,"score_spread":0.21244002405781975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043889002","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":[0.0005136527,0.00012685763,0.97959,0.000017887542,0.00040544217,0.0005058721,0.0000070848573,0.00039464462,0.018438585],"genre_scores_gemma":[0.3672307,0.000031799154,0.62912554,0.00005778231,0.00040315106,0.00009516715,0.000055529097,0.000104221675,0.0028961005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937475,0.0000018894272,0.00020784947,0.000115813615,0.0000478335,0.00025188673],"domain_scores_gemma":[0.9996164,0.00006693729,0.00002816018,0.00010768577,0.00012486812,0.000055943106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016421148,0.00011358622,0.00012377716,0.00007277324,0.000059480237,0.00001555947,0.00005912012,0.0000741159,0.000014976772],"category_scores_gemma":[0.000027178055,0.00011350009,0.000025743626,0.00025406413,0.000009891565,0.00021904675,0.000009083008,0.00004808713,0.000019222782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009076428,0.000004760532,0.000008211128,0.000046012337,0.000015354264,5.2676506e-7,0.00030433363,0.9945713,0.0011309831,0.0012542113,0.0009429597,0.0017122411],"study_design_scores_gemma":[0.00084224076,0.000051755076,0.000022764563,0.00004379749,0.000011898222,0.0000046453283,0.0020468119,0.9497881,0.039801758,0.00030021297,0.006713814,0.00037219957],"about_ca_topic_score_codex":0.0000021079777,"about_ca_topic_score_gemma":0.000036937017,"teacher_disagreement_score":0.36671707,"about_ca_system_score_codex":0.000094066745,"about_ca_system_score_gemma":0.00000877418,"threshold_uncertainty_score":0.46283993},"labels":[],"label_agreement":null},{"id":"W2044878086","doi":"10.1109/tbc.2015.2400819","title":"Providing Vehicular Infotainment Service Using VHF/UHF TV Bands via Spatial Spectrum Reuse","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"Shanghai Key Laboratory of Digital Media Processing and Transmission; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Computer science; Ultra high frequency; Reuse; Throughput; Computer network; Frame (networking); Service (business); Frequency allocation; Digital television; Resource allocation; Spectral efficiency; Real-time computing; Telecommunications; Wireless; Engineering","score_opus":0.02752825996879088,"score_gpt":0.23492762827854405,"score_spread":0.20739936830975317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044878086","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":[0.07713158,0.00006342999,0.920068,0.0000585029,0.0012370754,0.00041015053,0.000010287168,0.00064606994,0.00037490902],"genre_scores_gemma":[0.9749924,0.0000075645726,0.02453597,0.00004704385,0.0002115335,0.000041830655,0.0000058750966,0.000113805916,0.000043996217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983495,0.000053180433,0.0004867388,0.00032439205,0.0003220138,0.00046418438],"domain_scores_gemma":[0.99902296,0.000059798836,0.00010079387,0.0004923683,0.00011536269,0.00020870748],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024133864,0.00032329938,0.0002765564,0.00023549105,0.00023398185,0.00007742139,0.00021541178,0.00014864709,0.000028183022],"category_scores_gemma":[0.000023930359,0.00037252624,0.000076329976,0.0005497605,0.00001871973,0.0005201806,0.0000048933607,0.00037232015,0.00004708493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023849068,0.000032011336,0.000023663695,0.000095544994,0.000044092125,0.000013299828,0.000987692,0.97569096,0.01856602,0.0000016812296,0.000014806036,0.0045063994],"study_design_scores_gemma":[0.00074361725,0.0000632087,0.0000058891915,0.00020397494,0.000055968452,0.000074563926,0.00026698248,0.9378983,0.060036168,0.000031477608,0.00024710014,0.00037277833],"about_ca_topic_score_codex":0.000417624,"about_ca_topic_score_gemma":0.00013770656,"teacher_disagreement_score":0.8978608,"about_ca_system_score_codex":0.00070601713,"about_ca_system_score_gemma":0.00006031838,"threshold_uncertainty_score":0.9998727},"labels":[],"label_agreement":null},{"id":"W2045006214","doi":"10.1109/tit.2012.2210190","title":"Outage Probability Under Channel Distribution Uncertainty","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Probability distribution; Mathematics; Fading; Channel (broadcasting); Entropy (arrow of time); Channel capacity; Statistics; Probability density function; Outage probability; Computer science; Telecommunications; Physics; Coding (social sciences); Decoding methods","score_opus":0.010613787694624507,"score_gpt":0.21289546155257033,"score_spread":0.20228167385794582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045006214","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":[0.0036022859,0.00002166648,0.9919171,0.000019421366,0.0012416816,0.00039904504,0.00018719971,0.0006330806,0.001978557],"genre_scores_gemma":[0.9990477,0.000015288702,0.0004711258,0.00006610831,0.000047551803,0.00013514217,0.00012190475,0.000016180355,0.0000790202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991184,0.00005540044,0.000352956,0.0000662161,0.00013651431,0.00027050395],"domain_scores_gemma":[0.99945575,0.00007383187,0.00006000894,0.0002377467,0.00007520673,0.00009748198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039675055,0.00016160082,0.00012070498,0.000096425894,0.00014831437,0.0000301623,0.00007593417,0.00011661489,0.0001060487],"category_scores_gemma":[0.000010138013,0.00016062988,0.00006688672,0.00022041696,0.000039311242,0.0022488118,6.1617635e-7,0.00018708843,0.00033709436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025129406,0.000031349045,0.0000015125614,0.000059904214,0.000020789255,1.9378321e-8,0.00087754976,0.986714,0.000046339628,0.005399052,0.00007728518,0.0067470516],"study_design_scores_gemma":[0.0027921272,0.00017573783,0.00043927142,0.00020420036,0.00017108505,0.00004819647,0.0054643964,0.8938855,0.059996117,0.024754023,0.010168239,0.0019010928],"about_ca_topic_score_codex":0.000003474592,"about_ca_topic_score_gemma":0.0000022561699,"teacher_disagreement_score":0.9954454,"about_ca_system_score_codex":0.00035912215,"about_ca_system_score_gemma":0.000012388801,"threshold_uncertainty_score":0.6550296},"labels":[],"label_agreement":null},{"id":"W2045153903","doi":"10.1186/1687-6180-2014-85","title":"MMSE precoding for multiuser MISO downlink transmission with non-homogeneous user SNR conditions","year":2014,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Telecommunications link; Base station; Channel state information; Computer science; Quantization (signal processing); Algorithm; Zero-forcing precoding; Minimum mean square error; Control theory (sociology); Transmission (telecommunications); Channel (broadcasting); Mathematics; MIMO; Estimator; Mathematical optimization; Wireless; Statistics; Telecommunications","score_opus":0.007836762995809295,"score_gpt":0.26023548799189405,"score_spread":0.25239872499608473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045153903","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":[0.022531716,0.0018633405,0.9738779,0.00004888779,0.0002256655,0.00041920276,0.0000072688636,0.00014501814,0.0008809838],"genre_scores_gemma":[0.92060274,0.00030415077,0.07839366,0.00006695468,0.00037081903,0.00005589346,0.000013090662,0.000106349704,0.00008634173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835443,0.000055811448,0.0005879902,0.0003024678,0.00025196336,0.00044733268],"domain_scores_gemma":[0.9989341,0.00022947491,0.00036579106,0.00012513164,0.00017534148,0.00017017972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003526475,0.00032061446,0.00035254037,0.0002719818,0.00033280105,0.00013319161,0.00020985873,0.00010603724,0.000029229022],"category_scores_gemma":[0.00006409353,0.00026649746,0.00007397157,0.0003102981,0.000048363596,0.0012851583,0.0000072935095,0.00047247784,0.0000063436914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013546838,0.000042231666,0.00041471704,0.00029158444,0.000010963293,0.00001631885,0.000310986,0.8813752,0.009358046,0.000017235741,0.000029425108,0.10799781],"study_design_scores_gemma":[0.0035778917,0.00050679286,0.00016590982,0.0033474371,0.00004302073,0.0004004457,0.00023701909,0.95538056,0.017466603,0.00075987226,0.017373478,0.00074095983],"about_ca_topic_score_codex":3.4145435e-7,"about_ca_topic_score_gemma":0.000007272639,"teacher_disagreement_score":0.89807105,"about_ca_system_score_codex":0.00016990244,"about_ca_system_score_gemma":0.000044005814,"threshold_uncertainty_score":0.9999787},"labels":[],"label_agreement":null},{"id":"W2045916406","doi":"10.1109/icc.2012.6364869","title":"Cell switch off technique combined with coordinated multi-point (CoMP) transmission for energy efficiency in beyond-LTE cellular networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cellular network; Computer science; Transmission (telecommunications); Efficient energy use; Energy consumption; Energy (signal processing); Computer network; Transmitter power output; Channel (broadcasting); Gaussian; Wireless; Electronic engineering; Telecommunications; Transmitter; Electrical engineering; Engineering; Mathematics","score_opus":0.005923113387871487,"score_gpt":0.1967344006333098,"score_spread":0.1908112872454383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045916406","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":[0.0012175577,0.0008494217,0.9945329,0.0000124538365,0.00017587547,0.0010042011,0.0000022054187,0.0005160395,0.0016893703],"genre_scores_gemma":[0.9058836,0.00004152808,0.09316338,0.000014599713,0.000036643134,0.00032028713,0.00005287943,0.00009382619,0.00039322625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987958,0.000035349265,0.0003791287,0.00019531451,0.00007711591,0.00051730935],"domain_scores_gemma":[0.9994516,0.000058981594,0.00005804573,0.00023497331,0.00006348657,0.00013290605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024008262,0.000272707,0.00030960934,0.00015564698,0.00005697662,0.000014300678,0.00013751765,0.00019309198,0.00001775657],"category_scores_gemma":[0.00000439078,0.00023185414,0.000049442697,0.00042806324,0.00001935093,0.0002515356,0.000015349206,0.00014844554,0.0000019500592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058595353,0.00017995847,0.0001656732,0.00009340175,0.00000858175,0.000002116099,0.00017013433,0.957602,0.040071946,0.00044452047,0.00012925116,0.0010738203],"study_design_scores_gemma":[0.0017965623,0.00012155431,0.0000125718725,0.00007335496,0.000012435521,0.0000031158156,0.00008296002,0.8212141,0.17584191,0.000018803003,0.0005017444,0.00032091432],"about_ca_topic_score_codex":0.000031364165,"about_ca_topic_score_gemma":0.000021171969,"teacher_disagreement_score":0.90466607,"about_ca_system_score_codex":0.00011826044,"about_ca_system_score_gemma":0.000011532556,"threshold_uncertainty_score":0.94547373},"labels":[],"label_agreement":null},{"id":"W2046137959","doi":"10.1109/glocomw.2012.6477545","title":"A genetic algorithm based cell switch-off scheme for energy saving in dense cell deployments","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematical optimization; Computer science; Heuristic; Bin packing problem; Constant (computer programming); Heuristics; Linear programming; Energy consumption; Integer programming; Interference (communication); Optimization problem; Energy (signal processing); Genetic algorithm; Time complexity; Algorithm; Mathematics; Bin; Engineering; Computer network","score_opus":0.007988655101637232,"score_gpt":0.20634435726065542,"score_spread":0.19835570215901818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046137959","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":[0.01669485,0.0011954368,0.9801152,0.0000027953445,0.00028607112,0.00027044606,0.0000049598966,0.00023099296,0.0011992911],"genre_scores_gemma":[0.5398076,0.000021588941,0.4594004,0.00003937076,0.0000869706,0.000118286,0.00001033331,0.00006971566,0.00044570706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902403,0.000017162782,0.0002751134,0.000158928,0.000088864916,0.0004359084],"domain_scores_gemma":[0.99956644,0.000058763617,0.00003757214,0.00019917604,0.000031589334,0.00010647876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000932514,0.00017592838,0.00015989464,0.00012766987,0.000028433182,0.000015196025,0.00008801159,0.00009306871,0.000034171564],"category_scores_gemma":[0.000008787828,0.000191084,0.00004297511,0.00015924247,0.0000054448237,0.00018814388,0.000018124165,0.00005642455,0.000018916693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008360423,0.00013551762,0.0036888348,0.00020956533,0.000011364779,0.0000034967502,0.00015041615,0.92050534,0.0604036,0.00002441948,0.0006865901,0.014172503],"study_design_scores_gemma":[0.0009525047,0.000016120817,0.0002019142,0.000022637974,0.0000082907445,0.0000014450028,0.0000422016,0.90733266,0.08846503,0.000011379215,0.0026985283,0.00024731876],"about_ca_topic_score_codex":0.0000384898,"about_ca_topic_score_gemma":0.000034830602,"teacher_disagreement_score":0.5231128,"about_ca_system_score_codex":0.00014987832,"about_ca_system_score_gemma":0.0000137695415,"threshold_uncertainty_score":0.7792179},"labels":[],"label_agreement":null},{"id":"W2046964970","doi":"10.1109/icc.2014.6883759","title":"Coordinated channel selection in cognitive macro-femto networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer network; Femtocell; Channel (broadcasting); Quality of service; Interference (communication); Cluster analysis; Selection (genetic algorithm); Base station; Telecommunications link; Selection algorithm; Macro; Artificial intelligence","score_opus":0.006561346682662029,"score_gpt":0.21293604916995917,"score_spread":0.20637470248729714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046964970","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":[0.0069501447,0.000039424656,0.9802935,0.000008130052,0.00017923534,0.00018677412,6.6137125e-7,0.00043316412,0.011908982],"genre_scores_gemma":[0.9984643,0.00001331263,0.00088337006,0.000028156352,0.00008378524,0.000035332174,0.000016253214,0.000029251587,0.00044624927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949324,0.000022917977,0.00014701614,0.00011746252,0.000034594552,0.00018476884],"domain_scores_gemma":[0.99981916,0.000043253593,0.000017626196,0.000039668113,0.00004786434,0.000032403186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009441626,0.000097355936,0.00011274587,0.0000890972,0.000022556893,0.000012406677,0.00003308151,0.00008197162,0.00003924438],"category_scores_gemma":[0.00003242392,0.000104202576,0.000013727129,0.0003425299,0.0000073400047,0.00013596716,0.000007974913,0.00010557238,0.000024771856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005320847,0.000005553155,0.00043934837,0.000009600011,0.000006288704,4.0463087e-7,0.000049679446,0.9967605,0.00025686878,0.00010575367,0.00023687801,0.002123802],"study_design_scores_gemma":[0.00040184206,0.000018201348,0.00061931513,0.000040231636,0.0000032630223,0.0000034273914,0.000046544854,0.99735284,0.0012396078,0.000065483095,0.00008284391,0.00012637491],"about_ca_topic_score_codex":0.00003134429,"about_ca_topic_score_gemma":0.00016727445,"teacher_disagreement_score":0.99151415,"about_ca_system_score_codex":0.0000647809,"about_ca_system_score_gemma":0.0000022736574,"threshold_uncertainty_score":0.42492577},"labels":[],"label_agreement":null},{"id":"W2046982562","doi":"10.1109/wcnc.2014.6952247","title":"Sum energy-efficiency maximization for cognitive uplink networks with imperfect CSI","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telecommunications link; Computer science; Mathematical optimization; Efficient energy use; Base station; Probabilistic logic; Convex optimization; Maximization; Interference (communication); Convexity; Channel (broadcasting); Telecommunications; Mathematics; Regular polygon; Engineering","score_opus":0.004664538274403401,"score_gpt":0.1941950689245489,"score_spread":0.1895305306501455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046982562","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":[0.00054665474,0.00008636089,0.9915129,0.000007628106,0.00019608991,0.0003107841,0.0000024235292,0.00047961072,0.0068575446],"genre_scores_gemma":[0.9780517,0.000025392073,0.021040848,0.000045570137,0.0001601667,0.00012586758,0.000099814235,0.000065932254,0.000384667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993403,0.00001456496,0.00016830387,0.00018316782,0.000055759883,0.00023792338],"domain_scores_gemma":[0.99952245,0.00013283412,0.000038064627,0.00012316734,0.000131821,0.000051675175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009832438,0.00015202258,0.0001494889,0.00006164264,0.000070654896,0.000028171697,0.000060530514,0.00008158871,0.000016857979],"category_scores_gemma":[0.000037959937,0.00012920825,0.00002896998,0.0001962404,0.000018219935,0.0001630319,0.000008846925,0.000049907463,0.0000039307506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001589231,0.000008427867,0.00011896741,0.000022000964,0.0000147232895,1.4797094e-7,0.000029107654,0.99057597,0.00007514679,0.0019120028,0.00013614104,0.0070914747],"study_design_scores_gemma":[0.0006370677,0.00011019745,0.000024906083,0.000041530948,0.0000204683,0.000003433086,0.000029588064,0.99702746,0.0015383972,0.00005704729,0.00031160974,0.00019832532],"about_ca_topic_score_codex":0.000007490872,"about_ca_topic_score_gemma":0.000031152194,"teacher_disagreement_score":0.9775051,"about_ca_system_score_codex":0.00003840456,"about_ca_system_score_gemma":0.0000072190887,"threshold_uncertainty_score":0.52689594},"labels":[],"label_agreement":null},{"id":"W2047459700","doi":"10.1109/ciss.2014.6814101","title":"Pilot optimization and channel estimation for multiuser massive MIMO systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"MIMO; Algorithm; Rayleigh quotient; Minimum mean square error; Channel (broadcasting); Telecommunications link; Mathematical optimization; Computer science; Iterative method; Multiuser detection; Mathematics; Statistics; Telecommunications; Code division multiple access","score_opus":0.012099325262439039,"score_gpt":0.219446518720051,"score_spread":0.20734719345761196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047459700","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":[0.0003086725,0.00009988642,0.9970985,0.000025463298,0.0004822528,0.000708712,0.000006546423,0.00041763883,0.000852309],"genre_scores_gemma":[0.7923933,0.000017119206,0.20695691,0.000011839672,0.00009469488,0.00019320096,0.00005618028,0.000046235808,0.00023052648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994262,0.000015806174,0.00020883903,0.00014805376,0.000056002074,0.00014509619],"domain_scores_gemma":[0.9996047,0.00009185835,0.000045656594,0.00012312607,0.000084656676,0.000049982198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011027178,0.00012489042,0.00014080758,0.00007820252,0.000058085872,0.000048381302,0.000040375722,0.000046343383,0.0000040772434],"category_scores_gemma":[0.00008284551,0.00012297484,0.000014167507,0.00007526638,0.000010554659,0.00028983556,0.000008717529,0.00003276234,0.000006056112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045360853,0.0000053321296,0.0000049284354,0.00016650622,0.0000093014105,4.537547e-8,0.000055969722,0.9964687,0.0004609635,0.0021138578,0.00021563385,0.0004941787],"study_design_scores_gemma":[0.00044155266,0.00006276988,0.0000064447245,0.00004580908,0.0000109351895,0.0000022019435,0.00005615514,0.998354,0.0006545437,0.00012007364,0.00009620579,0.00014930409],"about_ca_topic_score_codex":0.000012913823,"about_ca_topic_score_gemma":0.0000051692314,"teacher_disagreement_score":0.79208463,"about_ca_system_score_codex":0.000043700456,"about_ca_system_score_gemma":0.000002864904,"threshold_uncertainty_score":0.5014768},"labels":[],"label_agreement":null},{"id":"W2048272641","doi":"10.1109/iswcs.2010.5624540","title":"Grassmannian precoding for multi-user MIMO system based on the maximal SJNR criterion","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Codebook; Precoding; Grassmannian; MIMO; Computer science; Base station; Computational complexity theory; Signal-to-noise ratio (imaging); Algorithm; Channel (broadcasting); Theoretical computer science; Computer engineering; Mathematics; Telecommunications","score_opus":0.021499275745041277,"score_gpt":0.24499587089504735,"score_spread":0.22349659515000608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048272641","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":[0.008994509,0.000008262677,0.98471594,0.00010274042,0.0012205993,0.0008682276,0.000015898615,0.00071245554,0.0033613883],"genre_scores_gemma":[0.89623857,5.6616915e-7,0.10251699,0.000051903524,0.00014423144,0.00024627894,0.000012891782,0.0000644305,0.00072416477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992731,0.000018331699,0.00021726433,0.00017687435,0.00008301285,0.00023139743],"domain_scores_gemma":[0.9994021,0.00011975142,0.00003617616,0.0003299423,0.000061253326,0.000050798426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021440902,0.00016204758,0.0001345489,0.000072785944,0.00011841397,0.00006008499,0.00014932794,0.00010067496,0.00003935319],"category_scores_gemma":[0.00006139618,0.000117966396,0.000062735664,0.00008996735,0.000013186918,0.00013946032,0.00001077235,0.00015188362,0.000028750306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000622087,0.00007277105,0.00085281866,0.0011197518,0.000052707426,0.000004080292,0.00039890822,0.84766006,0.11840958,0.023924846,0.0041264575,0.003315803],"study_design_scores_gemma":[0.00042311527,0.000022732955,0.0001292938,0.000073584146,0.000008204317,0.000002735774,0.00012492697,0.9853382,0.008764391,0.0000047474423,0.0049479897,0.00016006542],"about_ca_topic_score_codex":0.000007924803,"about_ca_topic_score_gemma":0.00006613236,"teacher_disagreement_score":0.88724405,"about_ca_system_score_codex":0.000063631254,"about_ca_system_score_gemma":0.0000072387325,"threshold_uncertainty_score":0.481053},"labels":[],"label_agreement":null},{"id":"W2048309032","doi":"10.1109/tit.2015.2417875","title":"Degrees of Freedom of MIMO Cellular Networks: Decomposition and Linear Beamforming Design","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; MIMO; Interference (communication); Degrees of freedom (physics and chemistry); Cellular network; Computer science; Spectral efficiency; Topology (electrical circuits); Zero-forcing precoding; Antenna (radio); Algorithm; Control theory (sociology); Mathematics; Precoding; Telecommunications; Artificial intelligence; Physics; Combinatorics","score_opus":0.013187863823541687,"score_gpt":0.21711590994507113,"score_spread":0.20392804612152943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048309032","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":[0.0041546645,0.00010825184,0.9946647,0.0000019450838,0.00033698327,0.00024874872,0.000016635324,0.000111514375,0.0003565507],"genre_scores_gemma":[0.9269941,0.000053880383,0.07287314,0.000004498368,0.000017968394,0.000020029105,0.000012153503,0.000014154122,0.000010097475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992508,0.00004581534,0.00044027512,0.000049646973,0.00011217868,0.00010123193],"domain_scores_gemma":[0.99943614,0.00011060866,0.00012309165,0.00013900739,0.00013450858,0.000056662902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035769193,0.00011130355,0.00015746424,0.00021596902,0.000042100775,0.000009152658,0.00006140533,0.0000883228,0.000008742095],"category_scores_gemma":[0.000008210035,0.00011560605,0.000036499077,0.00017305776,0.000048670336,0.0009958809,7.351133e-7,0.00009364976,0.0000060991065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006732623,0.0000120297045,0.0000016888766,0.00007363304,0.000026593947,7.688281e-8,0.0010840936,0.9926389,0.0008604086,0.00042196622,0.000015016704,0.00479826],"study_design_scores_gemma":[0.0004711919,0.00008741873,0.0000031225527,0.00008077225,0.000027208489,0.0000047985523,0.0005931652,0.9527539,0.045676418,0.00016564158,0.000031901236,0.00010444892],"about_ca_topic_score_codex":0.0000065122504,"about_ca_topic_score_gemma":0.0000015258569,"teacher_disagreement_score":0.9228394,"about_ca_system_score_codex":0.00004788169,"about_ca_system_score_gemma":0.000015261536,"threshold_uncertainty_score":0.4714278},"labels":[],"label_agreement":null},{"id":"W2048575012","doi":"10.1109/icc.2014.6884162","title":"Rotating clustering with simulated annealing user scheduling for coordinated heterogeneous MIMO cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); University of Alberta","funders":"","keywords":"Cluster analysis; Computer science; Telecommunications link; MIMO; Base station; Scheduling (production processes); Simulated annealing; Proportionally fair; Distributed computing; Cellular network; Maximization; Utility maximization; Computer network; Real-time computing; Dynamic priority scheduling; Algorithm; Mathematical optimization; Round-robin scheduling; Quality of service; Artificial intelligence; Mathematics","score_opus":0.00741808393205784,"score_gpt":0.20724345048467446,"score_spread":0.19982536655261662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048575012","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":[0.083474115,0.00013597916,0.91445357,0.000005962789,0.00022297983,0.0005544352,0.0000016188399,0.0009383681,0.00021298822],"genre_scores_gemma":[0.8257454,0.0000027858214,0.1738024,0.000025491294,0.00014296855,0.000030981624,0.000041935637,0.00013319174,0.00007482185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878144,0.000027421116,0.0003713438,0.00028640172,0.00008025994,0.0004531335],"domain_scores_gemma":[0.9992962,0.0001505867,0.0000799283,0.00024293605,0.00013613643,0.000094251416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019416896,0.00026212793,0.00028452266,0.00008354186,0.00016542137,0.000075720585,0.00011574033,0.00013032688,0.000010114637],"category_scores_gemma":[0.00004594027,0.0002505722,0.000049566836,0.0002291861,0.000014313124,0.00020446714,0.000026217815,0.00013094708,0.0000038041258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023118488,0.0000040047466,0.00019738109,0.0001137314,0.000048448543,0.0000022884049,0.000063059335,0.99465287,0.0033812916,0.000028752325,0.0000055808828,0.0014794489],"study_design_scores_gemma":[0.00088721985,0.000065335815,0.000002115498,0.0001527497,0.000023670313,0.0000082242395,0.000041299732,0.9902567,0.008070519,0.000009579113,0.00014195374,0.0003406005],"about_ca_topic_score_codex":0.000013560619,"about_ca_topic_score_gemma":0.000030161877,"teacher_disagreement_score":0.7422713,"about_ca_system_score_codex":0.00005647086,"about_ca_system_score_gemma":0.0000049656273,"threshold_uncertainty_score":0.99999464},"labels":[],"label_agreement":null},{"id":"W2048598640","doi":"10.1109/itcc.2005.265","title":"Substream selection in wireless MIMO systems for complexity reduction","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"MIMO; Computer science; Permutation (music); Reduction (mathematics); Computational complexity theory; Computation; Channel (broadcasting); Diagonal; Precoding; Wireless; Block matrix; Block (permutation group theory); Multi-user MIMO; Algorithm; Computer engineering; Mathematical optimization; Mathematics; Telecommunications; Eigenvalues and eigenvectors","score_opus":0.0207702565249989,"score_gpt":0.24278390470719877,"score_spread":0.22201364818219987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048598640","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":[0.1460765,0.00014607592,0.8496587,0.000028685057,0.00043759274,0.0006808123,0.0000042378506,0.0005698683,0.0023974816],"genre_scores_gemma":[0.9878996,0.000028531615,0.011184701,0.0000021390772,0.00027251308,0.00013335064,0.000025243655,0.000029632974,0.00042427622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993883,0.000013223884,0.00024317019,0.00013366972,0.000051332823,0.0001703063],"domain_scores_gemma":[0.99980736,0.000014665027,0.00002892236,0.0000703531,0.000049707498,0.00002897595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009156438,0.00009918587,0.0001341833,0.000103725164,0.000034211076,0.000019396572,0.0000403152,0.000072549105,0.000009660729],"category_scores_gemma":[0.000005701427,0.00010878232,0.000022358774,0.00019841945,0.000010128314,0.00025769274,0.0000032529085,0.00005925741,0.000012903765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007313069,0.000015822172,0.00015667101,0.00008045669,0.000006416651,5.9388782e-8,0.000081857055,0.98731965,0.007927262,0.0020247628,0.0006952653,0.0016844922],"study_design_scores_gemma":[0.00036462658,0.000014232227,0.0001745534,0.000029273056,0.0000035488742,0.000014307631,0.00015738023,0.9896414,0.008344452,0.00005076508,0.001073461,0.00013199159],"about_ca_topic_score_codex":0.00010200669,"about_ca_topic_score_gemma":0.00031172394,"teacher_disagreement_score":0.8418231,"about_ca_system_score_codex":0.0003005127,"about_ca_system_score_gemma":0.0000062031745,"threshold_uncertainty_score":0.44360143},"labels":[],"label_agreement":null},{"id":"W2048671596","doi":"10.1109/bsc.2008.4563222","title":"Transceiver pair designs for multiple access channels under fixed sum mutual information using mmse decision feedback detection","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mutual information; Minimum mean square error; Computer science; MIMO; Transmitter; Transceiver; Interference (communication); Transmission (telecommunications); Detector; Constraint (computer-aided design); Control theory (sociology); Algorithm; Mathematics; Telecommunications; Statistics; Channel (broadcasting); Wireless; Artificial intelligence","score_opus":0.064862229941974,"score_gpt":0.2692935190517583,"score_spread":0.2044312891097843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048671596","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":[0.17689049,0.000022119519,0.82125235,0.0000053506355,0.0005833687,0.00073697435,0.0000104035735,0.0004157904,0.00008314848],"genre_scores_gemma":[0.9544862,0.000018049193,0.04516506,0.00002452717,0.00009967019,0.000065513,0.00003225258,0.00004236535,0.00006634425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903345,0.000017010663,0.00039272828,0.0001449648,0.00014417377,0.0002676546],"domain_scores_gemma":[0.9993982,0.00015232102,0.00006458521,0.00016119146,0.00015272183,0.00007100391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001062633,0.00019362164,0.00017978795,0.00020975343,0.00020785228,0.000060457016,0.000119195756,0.00015827331,0.000023287506],"category_scores_gemma":[0.00006128227,0.00019654808,0.00007846725,0.0002787666,0.00002026988,0.0027220172,0.000012056024,0.00008107912,0.000024302526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006398113,0.000009586544,0.00007479078,0.000044335764,0.000016773805,3.3288381e-7,0.00046017306,0.9804543,0.014345568,0.000010651484,0.00009494371,0.0044245576],"study_design_scores_gemma":[0.0012964618,0.00003498143,0.00029871543,0.000032952183,0.000013291819,0.00001834804,0.00017328371,0.9245613,0.072784826,0.000065599284,0.00047318067,0.00024706247],"about_ca_topic_score_codex":0.000029216899,"about_ca_topic_score_gemma":0.00006370574,"teacher_disagreement_score":0.7775957,"about_ca_system_score_codex":0.00021625272,"about_ca_system_score_gemma":0.000018535422,"threshold_uncertainty_score":0.8014998},"labels":[],"label_agreement":null},{"id":"W2049560022","doi":"10.1109/bsc.2010.5472964","title":"On the first and second order statistics of sparse MIMO channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"MIMO; Channel (broadcasting); Channel capacity; Higher-order statistics; Cluster (spacecraft); Computer science; Gaussian; Eigenvalues and eigenvectors; Mathematics; Expression (computer science); Topology (electrical circuits); Algorithm; Telecommunications; Physics; Combinatorics; Computer network; Signal processing","score_opus":0.007617101432331466,"score_gpt":0.20058038611768098,"score_spread":0.1929632846853495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049560022","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":[0.10959155,0.000030055753,0.8759766,0.000086885986,0.00064851006,0.00026724575,0.00005170396,0.000098082644,0.013249345],"genre_scores_gemma":[0.9822605,0.0000067861797,0.01694845,0.000039303908,0.00002932408,0.0000074589107,0.000003254301,0.000016552687,0.00068837136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999743,0.000002815979,0.00009455299,0.00005418608,0.000036360165,0.000069102585],"domain_scores_gemma":[0.9996957,0.000105995874,0.000017491699,0.00012812851,0.000034523888,0.000018127075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045609973,0.000058405847,0.00006579104,0.000020394784,0.000022604572,0.000008366142,0.000039641855,0.000032689735,0.00048638042],"category_scores_gemma":[0.00003774169,0.000040935083,0.0000048852658,0.000052055646,0.000021922015,0.000037697173,0.0000087876715,0.00007545355,0.000012394798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011638331,0.000040289407,0.00043693566,0.00036905234,0.00006891273,0.0000034509562,0.0014339298,0.7217659,0.011656967,0.22543897,0.03671774,0.002056243],"study_design_scores_gemma":[0.0005779063,0.00007336923,0.0005261138,0.000045352233,0.000014052821,0.000010615416,0.00019312267,0.94828695,0.028574765,0.005087219,0.016277554,0.0003329549],"about_ca_topic_score_codex":0.000005066921,"about_ca_topic_score_gemma":0.00023343218,"teacher_disagreement_score":0.8726689,"about_ca_system_score_codex":0.0000035898404,"about_ca_system_score_gemma":0.0000026062835,"threshold_uncertainty_score":0.5325525},"labels":[],"label_agreement":null},{"id":"W2049657721","doi":"10.1145/1582379.1582681","title":"Simplified user scheduling and mode selection algorithm for multiuser MIMO systems with limited-feedback CSIT linear precoding","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Channel state information; Precoding; Algorithm; Telecommunications link; Scheduling (production processes); MIMO; Greedy algorithm; Multi-user; Transmitter; Quantization (signal processing); Multi-user MIMO; Mathematical optimization; Channel (broadcasting); Mathematics; Wireless; Computer network; Telecommunications","score_opus":0.012010671229255941,"score_gpt":0.2377005265777189,"score_spread":0.22568985534846295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049657721","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":[0.01805059,0.00017815943,0.9795808,0.000014528132,0.00016622264,0.0009045276,0.0000097682005,0.00074227777,0.00035312786],"genre_scores_gemma":[0.5095798,0.00003095606,0.4895198,0.000019801555,0.00020244114,0.0000614583,0.00002900784,0.00006181701,0.00049494224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900377,0.000014009991,0.00029212295,0.0002856542,0.000096379976,0.00030803794],"domain_scores_gemma":[0.9994924,0.00006284012,0.00005866126,0.00014384181,0.00015164315,0.00009063299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009597038,0.00023101263,0.00025104644,0.00012408615,0.0001105783,0.00008326007,0.000060383107,0.00013961106,0.0000025869676],"category_scores_gemma":[0.000019423504,0.00021013082,0.000028899776,0.00021879537,0.000009487661,0.00048760918,0.00000773326,0.00011922623,0.0000043212603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016930866,0.000012359743,0.00011111115,0.00009027845,0.000037192647,4.495499e-7,0.00013239274,0.9899187,0.0034015037,0.0001102152,0.000049506252,0.0061193216],"study_design_scores_gemma":[0.0008915652,0.00010005084,0.000048233807,0.00011927018,0.000028142364,0.000021037595,0.00014387359,0.99331594,0.0046676747,0.000012279583,0.00036404096,0.00028787935],"about_ca_topic_score_codex":0.000023522112,"about_ca_topic_score_gemma":0.000021551794,"teacher_disagreement_score":0.49152917,"about_ca_system_score_codex":0.000099167795,"about_ca_system_score_gemma":0.000010162238,"threshold_uncertainty_score":0.8568886},"labels":[],"label_agreement":null},{"id":"W2050201442","doi":"10.1109/tvt.2012.2235867","title":"On the Tradeoff Between Spectral Efficiency and Energy Efficiency of Homogeneous Cellular Networks With Outage Constraint","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spectral efficiency; Telecommunications link; Base station; Mathematical optimization; Constraint (computer-aided design); Interference (communication); Cellular network; Transmission (telecommunications); Signal-to-noise ratio (imaging); Efficient energy use; Mode (computer interface); Computer science; Mathematics; Topology (electrical circuits); Engineering; Telecommunications","score_opus":0.0055664058133846955,"score_gpt":0.17924043711006554,"score_spread":0.17367403129668085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050201442","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23550014,0.00045015663,0.76319087,0.000056832774,0.0001451406,0.0001721838,0.00001238537,0.00029258666,0.00017968673],"genre_scores_gemma":[0.99867946,0.000062152416,0.0010952911,0.000012220797,0.00003187348,0.00004917691,0.0000022901152,0.000047020196,0.000020513055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998912,0.000039173876,0.00027848638,0.00021569105,0.00013757049,0.00041711898],"domain_scores_gemma":[0.99933106,0.00012361184,0.00006184775,0.0003878663,0.000029443683,0.00006614881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012680732,0.00024178976,0.00029225042,0.00028253807,0.00013893655,0.000008982668,0.00017765828,0.00027686424,0.000015104238],"category_scores_gemma":[0.0000043737973,0.00018275964,0.00006260015,0.00054681936,0.00033972342,0.000058395257,0.0000015004998,0.00038412807,0.0000032967746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008654767,0.000088131055,0.000057872727,0.00001783072,0.000074640746,0.00000719741,0.00009810932,0.9839971,0.007838473,0.0033796048,0.0000027529434,0.0044296384],"study_design_scores_gemma":[0.0010377096,0.0009587414,0.00004593506,0.00016630378,0.00023446191,0.00022452728,0.0004783246,0.3634393,0.63218147,0.00022774626,0.00028152365,0.0007239641],"about_ca_topic_score_codex":0.000006392946,"about_ca_topic_score_gemma":0.0000073041697,"teacher_disagreement_score":0.7631793,"about_ca_system_score_codex":0.00006209283,"about_ca_system_score_gemma":0.000011566862,"threshold_uncertainty_score":0.7452722},"labels":[],"label_agreement":null},{"id":"W2050522994","doi":"10.1109/tsp.2014.2330344","title":"Sum-Rate Maximization for Active Channels With Unequal Subchannel Noise Powers","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Karush–Kuhn–Tucker conditions; Maximization; Channel (broadcasting); Mathematical optimization; Transmitter power output; Computer science; Power (physics); Constraint (computer-aided design); Mathematics; Telecommunications; Transmitter","score_opus":0.012683817159647089,"score_gpt":0.22355486107032335,"score_spread":0.21087104391067626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050522994","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":[0.004333241,0.000025997475,0.99391335,0.00003367542,0.00033733094,0.0005357726,0.000028431416,0.00050533155,0.00028687157],"genre_scores_gemma":[0.99166995,0.0000074371496,0.007660996,0.000042807726,0.000115919116,0.0002155395,0.000019485906,0.00011826659,0.00014962112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889344,0.00003762393,0.00026775288,0.00031294065,0.00015160114,0.0003366594],"domain_scores_gemma":[0.99936676,0.000101066245,0.00009192325,0.00013716368,0.00020467167,0.000098414996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015820857,0.00027318977,0.00023932468,0.000217649,0.00028447257,0.00008319608,0.000099753684,0.00012226743,0.000016644119],"category_scores_gemma":[0.0000046570394,0.00026594635,0.000059036935,0.00038533483,0.000040054758,0.00068727153,4.3656004e-7,0.00018454988,0.000010840422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018819378,0.000034479923,7.8349797e-7,0.00017582372,0.000030142717,5.952269e-7,0.0005739724,0.95771617,0.006036586,0.0000121418225,0.000008937218,0.035222173],"study_design_scores_gemma":[0.0009063155,0.00019655439,0.0000021660446,0.00019357637,0.000050000348,0.000004589735,0.00024778294,0.8778469,0.12002417,0.000106394866,0.00009434812,0.00032721827],"about_ca_topic_score_codex":0.000004459383,"about_ca_topic_score_gemma":0.000014330537,"teacher_disagreement_score":0.9873367,"about_ca_system_score_codex":0.00013695181,"about_ca_system_score_gemma":0.000036715785,"threshold_uncertainty_score":0.99997926},"labels":[],"label_agreement":null},{"id":"W2050967992","doi":"10.1109/wocn.2013.6616217","title":"A novel architecture and media access protocol for cognitive radio based autonomous femtocell networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Femtocell; Macrocell; Computer network; Computer science; Cognitive radio; Throughput; Telecommunications link; Access control; Cellular network; Network architecture; Telecommunications; Wireless; Base station","score_opus":0.01858453628969958,"score_gpt":0.2619052213879737,"score_spread":0.2433206850982741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050967992","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":[0.00008439646,0.000007217265,0.8763781,0.000022641665,0.000056074176,0.12200244,0.000010025546,0.0003160015,0.001123109],"genre_scores_gemma":[0.1659955,5.161204e-7,0.11001291,0.00013350941,0.00024256176,0.72330123,0.000044301803,0.000101579826,0.00016791068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993026,0.000008304112,0.00019000146,0.00018748183,0.000052046646,0.00025954295],"domain_scores_gemma":[0.99945146,0.00022889284,0.00003990901,0.00010330072,0.000085622814,0.00009078823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056389792,0.00017175043,0.00016692754,0.00006627892,0.000046929392,0.00009083204,0.00009130348,0.00009973203,0.0000868031],"category_scores_gemma":[0.000043497446,0.00014886024,0.000028181134,0.00010462448,0.000025399238,0.00029003868,0.000023368138,0.00010219156,0.00000405032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023032115,0.000017491706,0.00007850462,0.00019522934,0.00001687374,3.1959263e-7,0.000092676906,0.9868992,0.00038565928,0.00003887696,0.00047971992,0.0117724],"study_design_scores_gemma":[0.0022148448,0.00003028376,0.000295308,0.00007333262,0.000008307076,0.0000044610924,0.000024364366,0.99536103,0.0012508596,0.000078419,0.00045055422,0.00020825236],"about_ca_topic_score_codex":0.000018108036,"about_ca_topic_score_gemma":0.000030059111,"teacher_disagreement_score":0.7663652,"about_ca_system_score_codex":0.000034130688,"about_ca_system_score_gemma":0.000016413762,"threshold_uncertainty_score":0.60703444},"labels":[],"label_agreement":null},{"id":"W2051420191","doi":"10.1109/icmcs.2014.6911336","title":"Channel capacity maximization in MIMO-SDMA based cognitive networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"MIMO; Computer science; Telecommunications link; Multi-user MIMO; Space-division multiple access; Channel (broadcasting); MIMO-OFDM; 3G MIMO; Beamforming; Spatial multiplexing; Interference (communication); Multiplexing; Precoding; Channel capacity; Wireless broadband; Electronic engineering; Wireless; Computer network; Wireless network; Telecommunications; Engineering","score_opus":0.01040679790417737,"score_gpt":0.19317570400133208,"score_spread":0.1827689060971547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051420191","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":[0.0041225376,0.000022946011,0.9870429,0.000013771145,0.00023688175,0.00023521585,0.000002449617,0.00032785872,0.007995454],"genre_scores_gemma":[0.99364203,0.000007173278,0.0059968363,0.000084654705,0.00008267738,0.000040483294,0.000046600224,0.000034883775,0.00006464979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993646,0.000040480623,0.00019243159,0.00014364786,0.00006161763,0.000197197],"domain_scores_gemma":[0.99968535,0.00007999987,0.000027232478,0.0001077249,0.00005488118,0.00004481081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013435938,0.00012309385,0.00013912462,0.000104670355,0.00002453234,0.00001495933,0.00004998536,0.00009840217,0.000042683037],"category_scores_gemma":[0.00007167677,0.00013163318,0.00002094707,0.00025451081,0.000014366118,0.00016957786,0.0000073656784,0.00010080981,0.000020783624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044800754,0.000009030524,0.00041137738,0.00002140705,0.0000034139925,4.0020424e-7,0.00005227851,0.9983327,0.000040362862,0.00014691216,0.00005959696,0.0009180815],"study_design_scores_gemma":[0.00055512646,0.000012689581,0.00066099316,0.000061440354,0.0000039748543,7.9967054e-7,0.000033423134,0.9974919,0.00088628154,0.00009032023,0.000048243593,0.00015483542],"about_ca_topic_score_codex":0.000026471442,"about_ca_topic_score_gemma":0.0001819416,"teacher_disagreement_score":0.9895195,"about_ca_system_score_codex":0.00006211532,"about_ca_system_score_gemma":0.0000037829766,"threshold_uncertainty_score":0.53678447},"labels":[],"label_agreement":null},{"id":"W2051595364","doi":"10.1109/wcnc.2014.6952092","title":"The density penalty for random deployments in uplink CoMP networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Poisson point process; Telecommunications link; Coverage probability; Rayleigh fading; Computer science; Cellular network; Point process; Path loss; Mathematical optimization; Stochastic geometry; Grid; Outage probability; Position (finance); Algorithm; Computer network; Fading; Wireless; Mathematics; Telecommunications; Statistics; Channel (broadcasting)","score_opus":0.006559613523120016,"score_gpt":0.21319681844207516,"score_spread":0.20663720491895515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051595364","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":[0.004257962,0.00006786244,0.99357677,0.000025197995,0.00031253154,0.00039598407,2.8975847e-7,0.00014656596,0.001216851],"genre_scores_gemma":[0.99118185,0.000028574239,0.008385179,0.00003337752,0.000078088226,0.000055547993,0.0000061800697,0.000022260476,0.00020896939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995342,0.000018446675,0.00016663587,0.000080147096,0.000035175686,0.00016539506],"domain_scores_gemma":[0.9995441,0.00024690758,0.000019281291,0.00013867416,0.00002547287,0.000025572943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002641446,0.000072201,0.00011076789,0.000016377122,0.00006668252,0.000019351352,0.00007619686,0.000039934526,0.0000024930562],"category_scores_gemma":[0.000042375876,0.00005241405,0.000025083253,0.00005854997,0.0000088112265,0.00005689962,0.000012712868,0.000059330247,0.000005772478],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002201441,0.0000026745702,0.0015990704,0.000008463587,0.0000062419695,7.882421e-8,0.000014529331,0.99396306,0.000027689764,0.0005995079,0.00062500703,0.0031316862],"study_design_scores_gemma":[0.0013042769,0.0000060769166,0.0005340466,0.000010082555,0.0000028327997,6.71283e-7,0.000008167748,0.9961924,0.00016855996,0.0002502599,0.0014556377,0.00006699315],"about_ca_topic_score_codex":0.000009799784,"about_ca_topic_score_gemma":0.0002558435,"teacher_disagreement_score":0.9869239,"about_ca_system_score_codex":0.00003820806,"about_ca_system_score_gemma":0.0000019578501,"threshold_uncertainty_score":0.21373828},"labels":[],"label_agreement":null},{"id":"W2051813036","doi":"10.1155/2009/610109","title":"Performance of Narrowband Signal Detection under Correlated Rayleigh Fading Based on Synthetic Array","year":2009,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Algorithm; Computer science; Fading; Artificial intelligence","score_opus":0.0062934588146345664,"score_gpt":0.20782810853139203,"score_spread":0.20153464971675747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051813036","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":[0.5055382,0.00007534088,0.49343866,0.0000873232,0.00047723643,0.00007176548,0.0000018345122,0.00001938667,0.00029019915],"genre_scores_gemma":[0.99886566,0.00008276598,0.0008945394,0.000029149198,0.00010080346,8.8281774e-7,0.0000037310347,0.000010171821,0.000012318508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992294,0.00002238411,0.00037289603,0.00006903267,0.00023305869,0.00007324529],"domain_scores_gemma":[0.99934244,0.00004052196,0.00023876474,0.000044384484,0.00030129205,0.000032617063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018647843,0.00009173739,0.00012780855,0.00024041183,0.00003146521,0.00002263434,0.000075033255,0.000052552678,0.0000145684535],"category_scores_gemma":[0.00002617833,0.000080051344,0.00004046508,0.000094698,0.000018944693,0.00029761592,0.0000020460811,0.00012774965,0.0000012041007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021582765,0.000025619245,0.00030368307,0.000017287904,0.000028134873,0.0000030481897,0.0001020166,0.70873463,0.27452537,0.00003548235,0.0000042243164,0.016004676],"study_design_scores_gemma":[0.0006624793,0.0004753897,0.0024981375,0.0004689195,0.000016769998,0.00009046513,0.000043945915,0.83726674,0.15823577,0.0001291223,0.000018503579,0.00009372582],"about_ca_topic_score_codex":8.976463e-7,"about_ca_topic_score_gemma":5.473083e-7,"teacher_disagreement_score":0.49332738,"about_ca_system_score_codex":0.000080973674,"about_ca_system_score_gemma":0.000015249953,"threshold_uncertainty_score":0.32643992},"labels":[],"label_agreement":null},{"id":"W2052110378","doi":"10.1155/2007/29749","title":"Eigenstructures of MIMO Fading Channel Correlation Matrices and Optimum Linear Precoding Designs for Maximum Ergodic Capacity","year":2007,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; MIMO; Spatial correlation; Fading; Channel capacity; Ergodic theory; Transmitter; Mathematics; Eigenvalues and eigenvectors; Channel (broadcasting); Transformation (genetics); Topology (electrical circuits); Algebraic number; Computer science; Control theory (sociology); Telecommunications; Mathematical analysis; Physics","score_opus":0.02452754592069542,"score_gpt":0.27909681771464684,"score_spread":0.2545692717939514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052110378","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":[0.06314626,0.008611979,0.9271419,0.0000063177677,0.00039956576,0.00029106066,0.0000053900158,0.00006849441,0.00032905076],"genre_scores_gemma":[0.88865334,0.0006086468,0.110400595,0.000010943347,0.00026114052,0.000006190117,0.0000030473304,0.000049816423,0.0000062729723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998359,0.000043198692,0.0007632458,0.00022228943,0.0002241897,0.00038805924],"domain_scores_gemma":[0.9988759,0.00034947044,0.00043705644,0.00007013675,0.00016241844,0.000104997154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009517946,0.0002494742,0.00034179306,0.00047668302,0.00021314752,0.000058133515,0.00013093186,0.00012122034,0.0000049797995],"category_scores_gemma":[0.0001348232,0.00024021947,0.000055734,0.00037767555,0.000062638115,0.001295624,0.000013140714,0.00039489893,4.9433726e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012445514,0.0000133482745,0.00086795416,0.0004662186,0.000009894465,0.000006677409,0.00071880507,0.91060716,0.006378807,0.000043240532,0.0000028479283,0.080760576],"study_design_scores_gemma":[0.001287647,0.00024244157,0.0003865148,0.0018236889,0.000033795324,0.00025443122,0.0008433906,0.9591867,0.029946493,0.005346457,0.00017385015,0.00047464232],"about_ca_topic_score_codex":6.594521e-7,"about_ca_topic_score_gemma":0.0000055087867,"teacher_disagreement_score":0.8255071,"about_ca_system_score_codex":0.0001707696,"about_ca_system_score_gemma":0.000023963468,"threshold_uncertainty_score":0.97958654},"labels":[],"label_agreement":null},{"id":"W2052137180","doi":"10.1109/icc.2014.6883889","title":"Energy-efficient downlink transmission in two-tier network MIMO OFDMA networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Efficient energy use; Telecommunications link; Macrocell; Femtocell; Base station; Subcarrier; Orthogonal frequency-division multiple access; Transmitter power output; Beamforming; MIMO; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Mathematical optimization; Computer network; Telecommunications; Mathematics; Engineering; Transmitter; Electrical engineering","score_opus":0.004066642027240322,"score_gpt":0.2010106792318618,"score_spread":0.19694403720462147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052137180","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":[0.0013237664,0.0011617516,0.98505783,0.00003912687,0.0005613316,0.0001363123,5.00068e-7,0.00039151625,0.011327881],"genre_scores_gemma":[0.98016393,0.00014552134,0.018526573,0.00008795505,0.00043298135,0.00004285661,0.000017414062,0.00005763417,0.0005251545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988892,0.00005127804,0.00034479395,0.00021624155,0.0001030149,0.0003954719],"domain_scores_gemma":[0.9995608,0.00006193284,0.000030280466,0.00022279228,0.000026500882,0.000097702396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001982493,0.00019027077,0.00022331199,0.0000797506,0.000043110176,0.000019829238,0.00011717052,0.000102683625,0.00010316108],"category_scores_gemma":[0.000004626616,0.00017447234,0.000048501402,0.00037639213,0.000013280874,0.0000767017,0.00001584278,0.00014351752,0.000010791676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058252663,0.000013199986,0.00016070418,0.000014427138,0.0000066164466,0.0000011206492,0.00004907531,0.9547323,0.00016545274,0.001497204,0.00085131347,0.04250274],"study_design_scores_gemma":[0.0005017044,0.000010082998,0.00006428817,0.000097841476,0.0000062586005,0.0000017233131,0.0000072254106,0.9852471,0.00025060057,0.00011800033,0.013478089,0.00021711398],"about_ca_topic_score_codex":0.000036906782,"about_ca_topic_score_gemma":0.0000765185,"teacher_disagreement_score":0.9788402,"about_ca_system_score_codex":0.00007038951,"about_ca_system_score_gemma":0.000005277506,"threshold_uncertainty_score":0.7114776},"labels":[],"label_agreement":null},{"id":"W2052169157","doi":"10.1109/icc.2013.6655375","title":"Cross-tier interference mitigation in Femto-macro cellular architecture in downlink","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Macrocell; Femtocell; Underlay; Computer science; Femto-; Telecommunications link; Interference (communication); Computer network; Macro; Base station; Constellation; Bandwidth (computing); Reinforcement learning; Telecommunications; Channel (broadcasting); Signal-to-noise ratio (imaging); Artificial intelligence","score_opus":0.00494587831214933,"score_gpt":0.213288650981149,"score_spread":0.20834277266899967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052169157","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":[0.50751233,0.000096384414,0.4864016,0.00003648606,0.00017110049,0.00033274724,0.0000017368129,0.00015363841,0.0052939793],"genre_scores_gemma":[0.98834866,0.000009127683,0.010836426,0.000025000116,0.000036538673,0.00008027425,0.000020571253,0.000025490343,0.0006178835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992144,0.000020682304,0.00030626124,0.00017125733,0.00006357878,0.00022382698],"domain_scores_gemma":[0.99969363,0.000029323857,0.000023754355,0.00017825996,0.00003393536,0.0000410879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006950107,0.00013431744,0.0001391301,0.00017320648,0.00001271549,0.00005185328,0.000111442205,0.00010646608,0.00035435936],"category_scores_gemma":[0.000028652126,0.00013002203,0.000020599546,0.00026450027,0.000022268103,0.00031255133,0.00002265461,0.00020984265,0.00014265558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022972163,0.000009784194,0.013153878,0.00005685407,0.0000028470024,0.0000030267397,0.0005866861,0.95186144,0.028294653,0.000096225915,0.000052810625,0.0058794958],"study_design_scores_gemma":[0.0012083459,0.000035616726,0.030971782,0.00027912352,0.000002664214,0.0000067478927,0.00024088183,0.8895538,0.0734752,0.0031856876,0.00040284375,0.0006373374],"about_ca_topic_score_codex":0.00016204196,"about_ca_topic_score_gemma":0.0003586916,"teacher_disagreement_score":0.48083633,"about_ca_system_score_codex":0.000111658854,"about_ca_system_score_gemma":0.0000067380697,"threshold_uncertainty_score":0.5302145},"labels":[],"label_agreement":null},{"id":"W2052190282","doi":"10.1109/mcom.2014.6815890","title":"Scenarios for 5G mobile and wireless communications: the vision of the METIS project","year":2014,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2035,"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":"FP7 Information and Communication Technologies; Ministry of Economy, Trade and Industry; European Commission","keywords":"Metis; Computer science; Standardization; Telecommunications; Wireless; Mobile telephony; MIMO; Mobile broadband; Radio access technology; Computer network; Mobile radio; Channel (broadcasting); World Wide Web; User equipment; Base station","score_opus":0.021981877211406917,"score_gpt":0.28906192308894013,"score_spread":0.2670800458775332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052190282","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":[0.045936476,0.019766064,0.8767029,0.008903261,0.0015903506,0.016800912,0.0002924311,0.0012057268,0.028801847],"genre_scores_gemma":[0.97412664,0.001949488,0.022703616,0.00003994717,0.000026921341,0.0009115505,0.000030558956,0.00003813246,0.00017315669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991268,0.00021103154,0.00035050642,0.00010381937,0.000083911575,0.00012396123],"domain_scores_gemma":[0.9950761,0.00074483355,0.00013744668,0.003843877,0.0001778364,0.000019869794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004436535,0.00012237378,0.00017375438,0.000059884427,0.00036586454,0.000029924102,0.0015378393,0.000058932033,0.0000017337626],"category_scores_gemma":[0.00010536356,0.00008359945,0.00005547898,0.00034409956,0.00032016798,0.00014122819,0.00019779988,0.00017675573,0.0000050655694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005428856,0.00067328673,0.0012351475,0.0012795407,0.00033523518,6.597608e-8,0.008513195,0.6019997,0.13698989,0.0390095,0.02982747,0.18008266],"study_design_scores_gemma":[0.00043599398,0.000053887576,0.00034661192,0.00015692039,0.0000486625,0.000005562234,0.00015506975,0.8773137,0.0016628584,0.0004948558,0.11917201,0.00015390718],"about_ca_topic_score_codex":0.000023708431,"about_ca_topic_score_gemma":0.0002384575,"teacher_disagreement_score":0.9281902,"about_ca_system_score_codex":0.00004051872,"about_ca_system_score_gemma":0.000018904217,"threshold_uncertainty_score":0.34090868},"labels":[],"label_agreement":null},{"id":"W2052515292","doi":"10.1109/iccitechnology.2013.6579564","title":"A new MAC design in LTE for MIMO multiuser schemes","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"MIMO; Channel state information; Computer science; Telecommunications link; Transmitter; Throughput; Transmission (telecommunications); Channel (broadcasting); Multi-user MIMO; Computer network; Control theory (sociology); Wireless; Telecommunications","score_opus":0.016815077175928526,"score_gpt":0.23058265556925847,"score_spread":0.21376757839332994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052515292","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":[0.00090312853,0.00011222099,0.99668735,0.000032756336,0.00010055114,0.0007179048,5.5923033e-7,0.00023447997,0.0012110294],"genre_scores_gemma":[0.1617723,0.000009440512,0.8343895,0.000024482722,0.000047622612,0.00018493025,0.0000030468261,0.000036179288,0.0035324735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957514,0.000005750372,0.0001413634,0.00009124773,0.00003030664,0.000156214],"domain_scores_gemma":[0.99976385,0.000051025392,0.000011035915,0.0001062319,0.000024604582,0.000043243395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000391233,0.000082510946,0.000092733084,0.000058691996,0.000009394985,0.000017242026,0.000055417568,0.0000482352,0.0001743346],"category_scores_gemma":[0.000029138191,0.00007842924,0.000017827682,0.0000893607,0.0000026534317,0.00024646494,0.0000067528754,0.000033792214,0.00011662822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038063272,0.0000060207276,0.00021197271,0.00004868846,0.000010645431,3.2111106e-7,0.00016626823,0.95952356,0.013582517,0.00043286273,0.014385201,0.011628156],"study_design_scores_gemma":[0.00064487546,0.000011402915,0.0000780748,0.00002375626,0.0000021857486,6.8142305e-7,0.00005991939,0.9742942,0.021218088,0.00045010896,0.0030687612,0.00014797464],"about_ca_topic_score_codex":0.00008050564,"about_ca_topic_score_gemma":0.000031269334,"teacher_disagreement_score":0.16229783,"about_ca_system_score_codex":0.000039406277,"about_ca_system_score_gemma":0.000007738595,"threshold_uncertainty_score":0.31982517},"labels":[],"label_agreement":null},{"id":"W2052541233","doi":"10.1145/2507924.2507961","title":"Distributed base station activation for energy-efficient operation of cellular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Base station; Computer science; Schedule; Mathematical optimization; Convergence (economics); Energy consumption; Cellular network; Distributed computing; Optimization problem; Base (topology); Utility maximization problem; Maximization; Computer network; Utility maximization; Engineering; Mathematics; Algorithm","score_opus":0.006127420805506394,"score_gpt":0.18765606471145876,"score_spread":0.18152864390595236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052541233","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":[0.009307077,0.000022270187,0.98983455,0.000020813299,0.000108099164,0.00042470748,0.000012065637,0.00013548619,0.0001349236],"genre_scores_gemma":[0.9829852,0.00000462976,0.015780056,0.000011021333,0.0000378509,0.00016537699,0.00093278236,0.000020424834,0.000062663865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995002,0.000011713686,0.0002306773,0.00009164593,0.000059479953,0.000106270745],"domain_scores_gemma":[0.99961835,0.000043374544,0.000048405625,0.00010554525,0.00015680834,0.00002753276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005271813,0.00007968987,0.000088962246,0.00004655347,0.000031471674,0.000017668372,0.000034073026,0.000055063236,0.000049740807],"category_scores_gemma":[0.000018281373,0.00007831533,0.000022521368,0.00011803526,0.0000062156505,0.00021526043,0.0000043440414,0.000022781807,0.0000024906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027797628,0.000011442981,0.0000070428655,0.000022579827,0.0000063845555,1.3507327e-8,0.000025623627,0.927857,0.06828765,0.0018919723,0.0006202722,0.0012672746],"study_design_scores_gemma":[0.00021156261,0.000015262973,0.000033819855,0.000010885491,0.000003971563,7.4645484e-8,0.00004332548,0.8576482,0.14181602,0.000051396,0.00009411556,0.00007135311],"about_ca_topic_score_codex":0.000053821714,"about_ca_topic_score_gemma":0.000005090682,"teacher_disagreement_score":0.9740545,"about_ca_system_score_codex":0.00007015778,"about_ca_system_score_gemma":0.000005517701,"threshold_uncertainty_score":0.31936064},"labels":[],"label_agreement":null},{"id":"W2052568334","doi":"10.1109/aeect.2013.6716422","title":"Enhanced service delivery for cognitive systems within multiple antenna scenarios","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Jitter; Scheduling (production processes); Quality of service; Cognitive radio; MIMO; Interference (communication); Computer network; Distributed computing; Real-time computing; Wireless; Telecommunications; Mathematical optimization","score_opus":0.011536385627786309,"score_gpt":0.20822687357107802,"score_spread":0.19669048794329172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052568334","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":[0.08647031,0.00016706978,0.9093646,0.00001284134,0.0005902995,0.0017841138,0.000023828148,0.00060438435,0.0009825889],"genre_scores_gemma":[0.987763,0.000010630694,0.010591212,0.00007063964,0.00009604961,0.000734226,0.000052902797,0.0000647444,0.0006166109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914384,0.00001480648,0.00030644538,0.00019817965,0.0000793576,0.00025734777],"domain_scores_gemma":[0.99906164,0.0001707287,0.000056560933,0.00014773502,0.0004860301,0.00007732731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006300428,0.00017775797,0.00020772594,0.00006491304,0.000059666545,0.000057356487,0.00009207756,0.00009502262,0.000032077674],"category_scores_gemma":[0.00006688595,0.00016819286,0.00003410815,0.000167527,0.000009985965,0.0004824287,0.000017207516,0.00007109856,0.00028827734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002005278,0.000019969351,0.00009399219,0.0005377047,0.00008204955,6.5232075e-7,0.0008885216,0.8678665,0.12946811,0.00010729657,0.00038854085,0.000526557],"study_design_scores_gemma":[0.0007996328,0.000023347944,0.00003278532,0.00018550029,0.000013575651,0.0000035985622,0.002186115,0.98177993,0.0146909375,0.00001320096,0.000035388504,0.00023598176],"about_ca_topic_score_codex":0.00029350334,"about_ca_topic_score_gemma":0.00018864083,"teacher_disagreement_score":0.9012927,"about_ca_system_score_codex":0.000064958986,"about_ca_system_score_gemma":0.00001188799,"threshold_uncertainty_score":0.6858706},"labels":[],"label_agreement":null},{"id":"W2052990830","doi":"10.1109/wiopt.2014.6850317","title":"Why are relays not always good for you? Performance of different relay deployment configurations in a heterogeneous network","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Waterloo","funders":"","keywords":"Relay; Computer network; Backhaul (telecommunications); Computer science; Software deployment; Wireless; Upper and lower bounds; Throughput; Relay channel; Wireless network; Node (physics); Bandwidth (computing); Base station; Channel (broadcasting); Telecommunications; Engineering; Mathematics","score_opus":0.010693014112807143,"score_gpt":0.20412525244917487,"score_spread":0.19343223833636772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052990830","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":[0.18524756,0.000089489804,0.8121137,0.00005741806,0.00031150275,0.0008749942,0.0000106822745,0.00020184797,0.0010928],"genre_scores_gemma":[0.9917208,0.000049671296,0.0075816684,0.00007514818,0.000077644894,0.00031600182,0.000023875135,0.0000467337,0.00010846979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907875,0.000020727171,0.00040967017,0.00016133311,0.00008584272,0.00024367565],"domain_scores_gemma":[0.99948776,0.00008447061,0.00008584843,0.00024560463,0.000050076997,0.000046227655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092815375,0.00015573265,0.0002515407,0.00006216608,0.00004343701,0.000010053746,0.00009138781,0.000080855716,0.000015278018],"category_scores_gemma":[0.000022077018,0.00014537202,0.000049868187,0.000108883054,0.000012282453,0.00009824438,0.0000148868085,0.000075091266,0.0000040043574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016172577,0.00002039037,0.0019723282,0.00011181018,0.000016622855,2.0468865e-7,0.000075414115,0.9945884,0.0016101912,0.0007976615,0.00037606325,0.00041475866],"study_design_scores_gemma":[0.000628722,0.00012138283,0.0007888602,0.0001309952,0.000013397428,0.0000036465028,0.000022349608,0.97938836,0.016725495,0.000036690122,0.001956525,0.00018356468],"about_ca_topic_score_codex":0.0000067276587,"about_ca_topic_score_gemma":0.00022107255,"teacher_disagreement_score":0.80647326,"about_ca_system_score_codex":0.000084685424,"about_ca_system_score_gemma":0.0000039868714,"threshold_uncertainty_score":0.59280986},"labels":[],"label_agreement":null},{"id":"W2053023216","doi":"10.1007/s11036-013-0437-z","title":"Green Access Point Selection for Wireless Local Area Networks Enhanced by Cognitive Radio","year":2013,"lang":"en","type":"article","venue":"Mobile Networks and Applications","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 British Columbia","funders":"","keywords":"Computer science; Cognitive radio; Throughput; Selection algorithm; Heuristic; Computer network; Selection (genetic algorithm); Wireless; Energy consumption; Distributed computing; Telecommunications; Artificial intelligence","score_opus":0.0053826277947634955,"score_gpt":0.2232844717733446,"score_spread":0.2179018439785811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053023216","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":[0.003133239,0.0007731746,0.9925017,0.000014506437,0.00007004556,0.002929483,0.000020786501,0.00029204364,0.0002650213],"genre_scores_gemma":[0.9812977,0.00043218504,0.0003746962,0.000046408473,0.0003274257,0.016997034,0.00031110705,0.00005640296,0.00015707794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912417,0.000012726761,0.00025197357,0.00027753782,0.0000493387,0.00028423063],"domain_scores_gemma":[0.9994339,0.00012810051,0.000068463174,0.00012809978,0.00013886893,0.00010258258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053660337,0.00018154309,0.0001939313,0.000036029734,0.00018567259,0.00008963748,0.00010323809,0.00014509002,0.000027314056],"category_scores_gemma":[0.000001938998,0.00019044231,0.00003734415,0.00028196993,0.000052290845,0.00031733388,0.000025278525,0.00013807167,0.000004655618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004317324,0.000018608529,0.000055579007,0.000023570114,0.000024831066,1.2988029e-8,0.000013958073,0.90558416,0.00029034208,0.00008301202,0.0027925118,0.09110911],"study_design_scores_gemma":[0.0003570737,0.00003196286,0.0000504402,0.000034284796,0.000025655916,0.0000021119802,0.00008815918,0.99638724,0.0007971729,0.00014968817,0.0018582653,0.00021793507],"about_ca_topic_score_codex":0.00005813979,"about_ca_topic_score_gemma":0.000042750286,"teacher_disagreement_score":0.992127,"about_ca_system_score_codex":0.00006302603,"about_ca_system_score_gemma":0.0000057842544,"threshold_uncertainty_score":0.77660125},"labels":[],"label_agreement":null},{"id":"W2054335779","doi":"10.1109/pimrc.2013.6666678","title":"Analysis of load dependent energy efficiency of two-tier heterogeneous cellular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Telecommunications link; Computer science; Throughput; Base station; Transmission (telecommunications); Cellular network; Efficient energy use; Power control; Heterogeneous network; Macro; Computer network; Power (physics); Distributed computing; Load balancing (electrical power); Mathematical optimization; Wireless network; Wireless; Engineering; Mathematics; Telecommunications","score_opus":0.004214918749341298,"score_gpt":0.18802963817687213,"score_spread":0.18381471942753083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054335779","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":[0.075434536,0.0008837028,0.9213137,8.145624e-7,0.000102499616,0.00008148941,0.000001880341,0.00006918778,0.0021122035],"genre_scores_gemma":[0.9967674,0.000039384606,0.002862347,0.000005003823,0.00001836307,0.000013589622,0.000011322973,0.000019884264,0.0002627015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991648,0.000017492415,0.00037662254,0.00012846821,0.00014811102,0.00016451014],"domain_scores_gemma":[0.9994291,0.000026383115,0.00007781059,0.0002903189,0.00013071862,0.000045667453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057503767,0.00011233372,0.0002928107,0.00016772297,0.0000115913235,0.0000065043505,0.00011504503,0.00005997325,0.00031188893],"category_scores_gemma":[0.000005733108,0.0001049153,0.00010725959,0.00054441893,0.000017573417,0.00007536567,0.000023709308,0.000033353295,0.0000046197597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.7613154e-7,0.000015844886,0.00039654953,0.000012873861,0.00024338346,7.1375746e-7,0.00004177326,0.9846568,0.013544506,0.00010181324,0.000014765836,0.00097011233],"study_design_scores_gemma":[0.00012390305,0.000013276258,0.00002192734,0.000005664589,0.00012832813,5.8346916e-7,0.0000139015465,0.93480164,0.06477185,0.000011467901,0.000013827118,0.00009360361],"about_ca_topic_score_codex":0.00042891153,"about_ca_topic_score_gemma":0.00012048039,"teacher_disagreement_score":0.92133284,"about_ca_system_score_codex":0.000054230997,"about_ca_system_score_gemma":0.000006274595,"threshold_uncertainty_score":0.4278322},"labels":[],"label_agreement":null},{"id":"W2054935823","doi":"10.1109/cce.2006.350820","title":"MIMO Precoding Structures for Frequency-Flat and Frequency-Selective Fading Channels","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Fading; MIMO; Spatial correlation; Fading distribution; Channel state information; Channel (broadcasting); Computer science; Algorithm; Mathematics; Electronic engineering; Topology (electrical circuits); Control theory (sociology); Telecommunications; Rayleigh fading; Engineering; Wireless; Artificial intelligence","score_opus":0.00910192386040868,"score_gpt":0.22053548770599515,"score_spread":0.21143356384558648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054935823","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":[0.032131482,0.00083292375,0.94999343,0.000016037706,0.00054203323,0.0006666559,0.000018515793,0.00055056816,0.015248374],"genre_scores_gemma":[0.89627665,0.000014259161,0.10304829,0.000008923396,0.00024620144,0.0000806159,0.000021405629,0.000051526837,0.0002521266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916375,0.000009992894,0.00023957543,0.00023111036,0.00006228504,0.00029327968],"domain_scores_gemma":[0.99965596,0.00007644841,0.000041272848,0.0001155493,0.000067890214,0.000042878237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066256114,0.00018843092,0.0001890195,0.00011316163,0.000105878426,0.00005055436,0.00006903434,0.000106036554,0.000020347796],"category_scores_gemma":[0.000027257242,0.00018675838,0.000034709956,0.0001441906,0.00001920832,0.00035414036,0.000010401133,0.000080711274,0.000002202117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051639495,0.0000047558196,0.0018595979,0.0002362445,0.000060939743,0.0000020026887,0.0004659511,0.83575135,0.122867465,0.036380462,0.0010728519,0.0012932325],"study_design_scores_gemma":[0.0016361142,0.00013201857,0.0011633986,0.00016108669,0.00007017383,0.00006166183,0.00027358774,0.46727073,0.27577072,0.2517711,0.00031718324,0.0013722425],"about_ca_topic_score_codex":0.000111215864,"about_ca_topic_score_gemma":0.00012050284,"teacher_disagreement_score":0.86414516,"about_ca_system_score_codex":0.00011757426,"about_ca_system_score_gemma":0.000008776493,"threshold_uncertainty_score":0.76157856},"labels":[],"label_agreement":null},{"id":"W2055009041","doi":"10.1109/vtcfall.2012.6399367","title":"Power Savings and Performance Analysis in Wireless Networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Throughput; Computer science; Quality of service; Transmitter power output; Interference (communication); Power (physics); Power control; Computer network; Wireless network; Wireless; Real-time computing; Telecommunications; Transmitter","score_opus":0.0037224118257334917,"score_gpt":0.18903246083634184,"score_spread":0.18531004901060835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055009041","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":[0.6071348,0.00024748142,0.38838115,0.0000019095712,0.000063373365,0.000039417326,1.5603494e-7,0.00007474467,0.004056928],"genre_scores_gemma":[0.99801,0.0000880962,0.0017347077,0.000009402522,0.000022026008,0.000005615362,0.00000265241,0.000011019788,0.00011648396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964476,0.000004732465,0.00010517169,0.000054798737,0.000029665454,0.0001608812],"domain_scores_gemma":[0.99985296,0.00001175659,0.000010499794,0.00007973979,0.000007731795,0.000037320562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007692397,0.00006125154,0.000103459926,0.00010149905,0.000012085486,0.000007644948,0.000025279522,0.000039683382,0.00004073499],"category_scores_gemma":[0.0000019545398,0.000058701207,0.0000125509105,0.0003795438,0.0000063728457,0.00029611352,0.000010332978,0.000052155247,0.000004108639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.197716e-7,0.0000028737518,0.30721697,0.00000776913,0.000020535512,1.0092213e-7,0.00013880331,0.69154394,0.000042567677,0.000084896,0.00001924753,0.00092135894],"study_design_scores_gemma":[0.00006844279,0.0000029143487,0.10200912,0.0000065258923,0.000012724334,9.5087063e-7,0.000036392077,0.8976413,0.00008693221,6.732535e-7,0.00005195717,0.00008204305],"about_ca_topic_score_codex":0.0000065759846,"about_ca_topic_score_gemma":0.0000180709,"teacher_disagreement_score":0.39087516,"about_ca_system_score_codex":0.000028748542,"about_ca_system_score_gemma":6.781517e-7,"threshold_uncertainty_score":0.23937657},"labels":[],"label_agreement":null},{"id":"W2055296682","doi":"10.1109/icc.2010.5501932","title":"An Optimal and Fair Distributed Algorithm for Power Allocation for Radios Coexisting in Unlicensed Spectra","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Power (physics); Constraint (computer-aided design); Mathematical optimization; Algorithm; Redistribution (election); Distributed algorithm; Power budget; Distribution (mathematics); Transmission (telecommunications); Real-time computing; Telecommunications; Power control; Mathematics; Distributed computing","score_opus":0.007118661288934989,"score_gpt":0.24586958050777732,"score_spread":0.23875091921884234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055296682","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":[0.015988544,0.000017076098,0.982412,0.000027176442,0.00024433917,0.0007999119,0.00007830296,0.00023815966,0.00019451782],"genre_scores_gemma":[0.53236145,0.0000016299344,0.46718076,0.000006418241,0.00007013452,0.00010305717,0.00021744522,0.000027852962,0.00003125098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993892,0.000005295088,0.00020124645,0.00017017202,0.00003805146,0.00019607115],"domain_scores_gemma":[0.9996457,0.000079722246,0.000029456085,0.00012521446,0.00006333396,0.000056545807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013130074,0.00011373559,0.00013074925,0.000058530626,0.000042452757,0.00003257412,0.000054940872,0.00008696195,0.000015563995],"category_scores_gemma":[0.000038813916,0.00012239799,0.00001860248,0.00008249388,0.000014132858,0.00025087254,0.000004453365,0.0000785705,8.7909035e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006925131,0.00010020456,0.00020724087,0.00020235739,0.000045608434,0.0000022702422,0.00082441873,0.76735955,0.18053643,0.006782814,0.0005552025,0.04331462],"study_design_scores_gemma":[0.0009170613,0.00004744721,0.0002676766,0.000008142833,0.0000053602066,0.000004545208,0.0001382094,0.98931736,0.008365538,0.00007461837,0.00069390825,0.00016011547],"about_ca_topic_score_codex":0.000006413818,"about_ca_topic_score_gemma":0.000044897075,"teacher_disagreement_score":0.5163729,"about_ca_system_score_codex":0.000045147524,"about_ca_system_score_gemma":0.000008415643,"threshold_uncertainty_score":0.4991245},"labels":[],"label_agreement":null},{"id":"W2055561316","doi":"10.1109/itst.2013.6685562","title":"Effect of scattering environment on estimation quality in V2I and V2V communications","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Channel (broadcasting); Bandlimiting; Transmit diversity; Bit error rate; Autocorrelation; Algorithm; Antenna diversity; Scattering; Minimum mean square error; Mean squared error; Fading; Electronic engineering; Telecommunications; Mathematics; Statistics; Wireless; Estimator; Fourier transform; Physics; Engineering; Optics","score_opus":0.010307213578511647,"score_gpt":0.2620789622642853,"score_spread":0.2517717486857736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055561316","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":[0.7249517,0.00008743902,0.2717698,0.000059724178,0.00002278441,0.0004661825,0.0000013279202,0.00007741315,0.0025636456],"genre_scores_gemma":[0.9846639,0.00004004046,0.015194676,0.00000403629,0.0000020183509,0.00006389881,0.000006472033,0.000008501569,0.000016476717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996389,0.000048684862,0.00016764377,0.00005456262,0.000036552945,0.000053613836],"domain_scores_gemma":[0.99956614,0.00013207436,0.000023378758,0.0002598415,0.0000034551524,0.000015119753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014187722,0.000054777152,0.00009252891,0.000043409855,0.000011992,0.000005699408,0.000050727136,0.000023955608,0.00002020933],"category_scores_gemma":[0.00001726088,0.0000511838,0.0000075682274,0.00003462307,0.000019287048,0.00011718624,0.000024346436,0.00004026761,0.000022818816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020008654,0.000010586851,0.002743867,0.00014242533,0.000004347983,2.7497705e-8,0.00014298983,0.9555475,0.016392842,0.00032343445,0.0000107658025,0.024679221],"study_design_scores_gemma":[0.00029735122,0.000050025872,0.013983893,0.00006087638,0.000002705287,4.655812e-7,0.000024823577,0.96781844,0.017587882,0.00007458905,0.00001478833,0.000084178326],"about_ca_topic_score_codex":0.0000800423,"about_ca_topic_score_gemma":0.000008513215,"teacher_disagreement_score":0.2597122,"about_ca_system_score_codex":0.00004548032,"about_ca_system_score_gemma":5.820953e-7,"threshold_uncertainty_score":0.20872147},"labels":[],"label_agreement":null},{"id":"W2055672128","doi":"10.1109/glocomw.2014.7063532","title":"Modeling and analysis of ergodic capacity in network MIMO systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Poisson point process; Ergodic theory; Beamforming; Stochastic geometry; Computer science; Base station; Channel state information; Topology (electrical circuits); Ergodicity; Telecommunications link; Backhaul (telecommunications); Point process; Mathematics; Telecommunications; Wireless; Statistics","score_opus":0.014996851017663895,"score_gpt":0.19890258158291244,"score_spread":0.18390573056524853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055672128","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":[0.20077483,0.00024387405,0.7977306,0.0000010654798,0.0000632019,0.000060756705,0.000001067575,0.00005790575,0.0010666536],"genre_scores_gemma":[0.99188894,0.00002652002,0.008023085,0.0000021748729,0.000025276466,0.0000062073073,0.0000046009236,0.000010197156,0.00001301987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999474,0.0000246244,0.00025090837,0.00009039537,0.000048653164,0.00011140054],"domain_scores_gemma":[0.99977183,0.000032683092,0.000019707508,0.0001263516,0.00002292453,0.00002649545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019520434,0.00006732782,0.00024755942,0.00015928152,0.000010597853,0.000007730073,0.00003397727,0.000048115504,0.0000029567507],"category_scores_gemma":[0.000015211032,0.000066229564,0.000022597189,0.0004961498,0.000007187028,0.00007482606,0.0000080863065,0.00004259013,6.469837e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.480675e-7,0.0000016832847,0.0030187254,0.000050517123,0.000055081102,6.488428e-8,0.00006263182,0.9948117,0.00015663111,0.001729823,0.000004142522,0.000108234],"study_design_scores_gemma":[0.00006460499,0.0000034372483,0.00021428142,0.000028688957,0.000050757215,3.3468515e-7,0.00003556013,0.9994421,0.000023619697,0.000065332875,0.0000054890675,0.00006581603],"about_ca_topic_score_codex":0.0002479756,"about_ca_topic_score_gemma":0.00035714157,"teacher_disagreement_score":0.7911141,"about_ca_system_score_codex":0.000025821642,"about_ca_system_score_gemma":0.0000013445062,"threshold_uncertainty_score":0.27007633},"labels":[],"label_agreement":null},{"id":"W2056088523","doi":"10.1109/twc.2013.022213.120016","title":"Hierarchical Competition for Downlink Power Allocation in OFDMA Femtocell Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Stackelberg competition; Femtocell; Mathematical optimization; Computer science; Nash equilibrium; Telecommunications link; Game theory; Orthogonal frequency-division multiple access; Best response; Macrocell; Base station; Computer network; Orthogonal frequency-division multiplexing; Mathematical economics; Mathematics","score_opus":0.015260313071561369,"score_gpt":0.24086598905293471,"score_spread":0.22560567598137335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056088523","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":[0.008386061,0.00016641732,0.987842,0.0007666292,0.00033869196,0.0013694825,0.000041382253,0.00039595235,0.0006933355],"genre_scores_gemma":[0.98199713,0.0008988497,0.013832791,0.00007249066,0.000025590423,0.0029000319,0.00010087619,0.000065940265,0.000106316664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988504,0.00009109433,0.00047884835,0.00020465198,0.00009886871,0.0002761333],"domain_scores_gemma":[0.99839157,0.00035144048,0.00006197554,0.0009599251,0.00015043949,0.00008462523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001202224,0.00020186638,0.00022072741,0.00025308598,0.000236501,0.00005351413,0.00043900177,0.00018188111,0.00007966938],"category_scores_gemma":[0.0000041197795,0.00023395514,0.000088567496,0.00043708758,0.00008928014,0.00037547032,0.0000032585574,0.00044732547,0.00005823855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008788962,0.00018645574,0.000018668075,0.000028886665,0.00002497607,7.9854786e-8,0.0002038132,0.98421687,0.0030243618,0.0017165656,0.000116194984,0.010454359],"study_design_scores_gemma":[0.0006147408,0.000038627506,0.00022724742,0.00011759505,0.00001663049,0.0000020525613,0.00009921799,0.9961897,0.0016522066,0.00038256063,0.0004039798,0.0002554284],"about_ca_topic_score_codex":0.00007122569,"about_ca_topic_score_gemma":0.00033787344,"teacher_disagreement_score":0.9740093,"about_ca_system_score_codex":0.00020220576,"about_ca_system_score_gemma":0.000021109834,"threshold_uncertainty_score":0.95404136},"labels":[],"label_agreement":null},{"id":"W2056211689","doi":"10.1109/icuwb.2015.7324447","title":"Energy-Efficient Robust Resource Provisioning in Virtualized Wireless Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Computer science; Quality of service; Mathematical optimization; Base station; Resource allocation; Channel state information; Provisioning; Wireless; Efficient energy use; Wireless network; Robustness (evolution); Computational complexity theory; Distributed computing; Computer network; Algorithm; Telecommunications; Engineering; Mathematics","score_opus":0.013833802037742022,"score_gpt":0.20774972951498286,"score_spread":0.19391592747724085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056211689","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":[0.007835749,0.00029318093,0.97507244,0.000010969297,0.000202656,0.00012983053,3.8559926e-7,0.0004377202,0.01601706],"genre_scores_gemma":[0.99114454,0.000008028557,0.0079715885,0.000027986594,0.00007836739,0.000031637748,0.000013669775,0.00004802514,0.00067615916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999165,0.000037244718,0.00026993226,0.00016672192,0.00012079259,0.00024028354],"domain_scores_gemma":[0.99960744,0.00003692197,0.000029358936,0.00019199649,0.00003713612,0.000097134056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020776244,0.00012831378,0.0001652282,0.00010727887,0.000022489648,0.00002645792,0.00009909741,0.00008784079,0.000009671852],"category_scores_gemma":[0.000021816559,0.00012346677,0.000020063211,0.00034120836,0.000011949668,0.000085798456,0.000035868186,0.00010032446,0.000007237877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008596384,0.000010907339,0.000049849878,0.0000057050956,0.0000031583095,0.0000039305196,0.00019249483,0.9943872,0.00006163309,0.0012696143,0.0007494321,0.0032574926],"study_design_scores_gemma":[0.00057080406,0.000011627019,0.0000058864043,0.000052966145,0.0000017936694,0.0000032022288,0.0003481419,0.99668074,0.00023399985,0.000012363499,0.001924385,0.00015408719],"about_ca_topic_score_codex":0.00004432389,"about_ca_topic_score_gemma":0.000057183715,"teacher_disagreement_score":0.9833088,"about_ca_system_score_codex":0.00016762207,"about_ca_system_score_gemma":0.000012704816,"threshold_uncertainty_score":0.5034829},"labels":[],"label_agreement":null},{"id":"W2056317178","doi":"10.1109/lcnw.2013.6758499","title":"Grassmannian beamforming for Coordinated Multipoint transmission in multicell systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Qatar National Research Fund; Fonds National de la Recherche Luxembourg; Qatar Foundation","keywords":"Beamforming; Computer science; Base station; Interference (communication); Transmission (telecommunications); Computer network; Enhanced Data Rates for GSM Evolution; Wireless; Process (computing); Throughput; Information exchange; Telecommunications; Channel (broadcasting)","score_opus":0.007678684819057475,"score_gpt":0.2062406232551468,"score_spread":0.19856193843608932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056317178","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":[0.010138062,0.00018708021,0.9858613,0.00002183658,0.00024291841,0.0019018889,0.0000024963977,0.00041963975,0.0012247964],"genre_scores_gemma":[0.9140768,0.000013576492,0.08449014,0.00000624083,0.000029600582,0.00055741303,0.000021262227,0.000054789663,0.0007501974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991289,0.000012521786,0.00037231034,0.00015604109,0.000055395463,0.00027483923],"domain_scores_gemma":[0.9996244,0.00006824826,0.00003037401,0.000134134,0.00006680661,0.00007606971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010131861,0.00015147727,0.00020225208,0.0001423627,0.000033536053,0.00003667577,0.000082416074,0.00009924634,0.000022637294],"category_scores_gemma":[0.000017960556,0.00013823694,0.000036221096,0.00016314969,0.000007437865,0.00036818144,0.0000062028007,0.00007695375,0.00003682496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003184525,0.00001423322,0.000043773558,0.00025458355,0.0000072541748,5.162214e-7,0.00018959207,0.9598497,0.034306146,0.00011815181,0.00016586445,0.005047006],"study_design_scores_gemma":[0.00066185,0.000017602164,0.000027633809,0.000119840406,0.000004288929,0.000001644332,0.00029330328,0.9911966,0.005598685,0.00003648643,0.0018562103,0.0001858798],"about_ca_topic_score_codex":0.00020324036,"about_ca_topic_score_gemma":0.00002322326,"teacher_disagreement_score":0.9039387,"about_ca_system_score_codex":0.00011486764,"about_ca_system_score_gemma":0.000004768628,"threshold_uncertainty_score":0.56371385},"labels":[],"label_agreement":null},{"id":"W2056429001","doi":"10.1109/sips.2011.6088998","title":"A robust RAM-THP architecture for downlink multiuser MISO transmission with user scheduling","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Precoding; Robustness (evolution); Telecommunications link; Scheduling (production processes); Bit error rate; Convolutional code; Real-time computing; Algorithm; Channel (broadcasting); Computer network; Decoding methods; MIMO; Engineering","score_opus":0.022391622218450365,"score_gpt":0.20608395440821342,"score_spread":0.18369233218976305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056429001","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":[0.0065268334,0.00013261575,0.990061,0.0000260909,0.00009309643,0.00065345765,0.000004940607,0.0006007431,0.0019012606],"genre_scores_gemma":[0.20502849,0.000012301006,0.79418343,0.000026701204,0.000058844664,0.00007851557,0.000016392238,0.00008009369,0.000515223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992204,0.000009816272,0.0002053766,0.00021831608,0.00007872284,0.00026737544],"domain_scores_gemma":[0.99956584,0.000032980734,0.000028740595,0.00021088554,0.0000638464,0.00009771135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064378364,0.0002025406,0.00017989577,0.0000820404,0.000059857186,0.000016065575,0.000106503,0.00011913984,0.00009752495],"category_scores_gemma":[0.000010126219,0.00015071823,0.000052232408,0.00012858272,0.000016803064,0.00017111747,0.000006650321,0.00013479634,0.000009862836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006789387,0.000018172697,0.00010994419,0.00014669626,0.000032292068,0.0000017118643,0.00093447784,0.99024445,0.003270953,0.0001114247,0.00006527847,0.0049967156],"study_design_scores_gemma":[0.0022097745,0.00012637052,0.00008746816,0.00025050336,0.000050312836,0.000021775086,0.00021391535,0.9516728,0.035983924,0.00013287834,0.008666788,0.00058351795],"about_ca_topic_score_codex":0.000015356038,"about_ca_topic_score_gemma":0.000054162178,"teacher_disagreement_score":0.19850166,"about_ca_system_score_codex":0.00003079434,"about_ca_system_score_gemma":0.000011188625,"threshold_uncertainty_score":0.6146111},"labels":[],"label_agreement":null},{"id":"W2056658160","doi":"10.1109/glocom.2013.6831463","title":"Distributed energy-efficient inter-cell interference control with BS sleep mode and user fairness in cellular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Sleep mode; Efficient energy use; Energy consumption; Overhead (engineering); Quality of service; Scalability; Base station; Spectral efficiency; Computer network; Interference (communication); Cellular network; Distributed computing; Energy (signal processing); Resource allocation; Resource (disambiguation); Engineering; Power consumption","score_opus":0.002474566946874084,"score_gpt":0.1589242110668171,"score_spread":0.156449644119943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056658160","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":[0.066128045,0.00014607488,0.932675,0.000012150806,0.00009147867,0.00025387146,0.0000054660804,0.00016473445,0.00052317634],"genre_scores_gemma":[0.9978043,0.000010084429,0.0018498084,0.000017301212,0.000020068625,0.000101974394,0.000030688454,0.000033304135,0.00013247307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999223,0.000024554975,0.00023648908,0.00020349753,0.000057376896,0.00025506844],"domain_scores_gemma":[0.9996046,0.00003941768,0.000034171127,0.00018757199,0.000058379992,0.00007587979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038694485,0.0001826612,0.00020659404,0.000066435845,0.000019280145,0.00005102455,0.00009765754,0.00007934594,0.00003865177],"category_scores_gemma":[0.0000041475714,0.00014917106,0.000014682431,0.00016181819,0.000026886326,0.00016898605,0.000029558532,0.00011551197,0.0000060848756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106284315,0.000021262056,0.00092969957,0.000020723657,0.000009670558,0.0000026674763,0.000059600115,0.99682677,0.001335225,0.00027753564,0.00007263876,0.00043359824],"study_design_scores_gemma":[0.00085183774,0.000029425713,0.00009835622,0.000050606883,0.0000055344935,0.0000021948056,0.00012304784,0.9964883,0.0020961538,0.000015794143,0.000043059066,0.00019568947],"about_ca_topic_score_codex":0.00021321548,"about_ca_topic_score_gemma":0.00018313633,"teacher_disagreement_score":0.93167627,"about_ca_system_score_codex":0.000076250355,"about_ca_system_score_gemma":0.0000036359484,"threshold_uncertainty_score":0.60830194},"labels":[],"label_agreement":null},{"id":"W2057214057","doi":"10.1167/12.9.495","title":"Low sensitivities but surprisingly high efficiencies for face-gender discrimination from interattribute distances","year":2012,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université de Montréal","funders":"","keywords":"Psychology; Perception; Face (sociological concept); Face perception; Social psychology; Cognitive psychology; Sociology","score_opus":0.016978543816694773,"score_gpt":0.25717726774745076,"score_spread":0.24019872393075598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057214057","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":[0.4004079,0.00069258985,0.59756476,0.000019133415,0.0011387366,0.00007295751,0.00004064731,0.000025243635,0.000038011585],"genre_scores_gemma":[0.98743564,0.00006566976,0.011943533,0.000008153644,0.00045710328,0.0000020495172,0.000025730573,0.00002390303,0.000038205504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991516,0.00003093856,0.00037628968,0.000067532215,0.00018652144,0.00018712635],"domain_scores_gemma":[0.9992813,0.0001971154,0.00019543669,0.000084140716,0.00017863535,0.00006336167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028270765,0.00012218698,0.00021850828,0.00010566033,0.000066611596,0.00005647142,0.000071411676,0.00005752677,0.0000054503184],"category_scores_gemma":[0.00009817763,0.000100509766,0.00007485136,0.00007816721,0.000022120768,0.000989331,0.000013740603,0.000096870186,0.000002712887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015655323,0.00016686923,0.0009401087,0.0002791244,0.00011490191,0.000006569322,0.009027635,0.72964895,0.24199665,0.00041093997,0.0017934416,0.015458269],"study_design_scores_gemma":[0.004068038,0.0008477108,0.06756988,0.002433776,0.000316155,0.00015008608,0.02365594,0.3215828,0.57297957,0.0018951717,0.0030903332,0.0014105792],"about_ca_topic_score_codex":0.0000036308256,"about_ca_topic_score_gemma":0.0000029747546,"teacher_disagreement_score":0.5870277,"about_ca_system_score_codex":0.00014973026,"about_ca_system_score_gemma":0.000009503717,"threshold_uncertainty_score":0.40986693},"labels":[],"label_agreement":null},{"id":"W2058103648","doi":"10.1109/wcnc.2014.6952679","title":"Simplified and accurate analytic model for interference analysis in cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Interference (communication); Computer science; Contrast (vision); Base station; Simple (philosophy); Hexagonal crystal system; Cellular network; Topology (electrical circuits); Algorithm; Electronic engineering; Statistical physics; Artificial intelligence; Telecommunications; Physics; Engineering; Channel (broadcasting); Electrical engineering","score_opus":0.014665630582516118,"score_gpt":0.23180821013654396,"score_spread":0.21714257955402783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058103648","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":[0.010635969,0.000052000145,0.98852515,0.0000062152767,0.000027331394,0.00013789468,0.0000018097046,0.00008660757,0.00052699825],"genre_scores_gemma":[0.98692733,0.000016396578,0.012790145,0.000014233767,0.000015708656,0.000023021696,0.000018860512,0.00001478673,0.00017952705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947906,0.0000093732,0.00019653031,0.00014330994,0.000024771874,0.00014695669],"domain_scores_gemma":[0.99970704,0.00006292966,0.000022856115,0.00014597827,0.000024266665,0.000036905974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011635916,0.00009285392,0.0001951778,0.00015645531,0.000014742365,0.000022335136,0.00005789887,0.000052547875,0.0000046623722],"category_scores_gemma":[0.00002232253,0.00008960839,0.000032523003,0.00032349955,0.000007509146,0.00011288654,0.00001367634,0.000048368995,8.2526896e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032148191,0.0000019603128,0.00036327055,0.000018346851,0.000037989437,7.668176e-8,0.000052277977,0.9981574,0.00023633958,0.00051711453,0.000019219364,0.0005928128],"study_design_scores_gemma":[0.00017845113,0.0000065043173,0.00006422053,0.000007208517,0.000056847086,9.84763e-8,0.000017353312,0.99906385,0.00014185916,0.00035348805,0.0000053960234,0.0001047438],"about_ca_topic_score_codex":0.000009272737,"about_ca_topic_score_gemma":0.00025858753,"teacher_disagreement_score":0.97629136,"about_ca_system_score_codex":0.000026599826,"about_ca_system_score_gemma":0.000002033123,"threshold_uncertainty_score":0.36541238},"labels":[],"label_agreement":null},{"id":"W2058162451","doi":"10.1109/twc.2013.052213.120802","title":"Sum-Rate Maximization in the Multicell MIMO Multiple-Access Channel with Interference Coordination","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Telecommunications link; MIMO; Maximization; Computer science; Decodes; Base station; Iterative method; Interference (communication); Mathematical optimization; Algorithm; Channel (broadcasting); Cellular network; Convex optimization; Throughput; Decoding methods; Mathematics; Wireless; Regular polygon; Computer network; Telecommunications","score_opus":0.027976506475137542,"score_gpt":0.25187166600184974,"score_spread":0.22389515952671218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058162451","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":[0.030954635,0.000056484452,0.9660717,0.0006407421,0.0001625423,0.0012015023,0.000021973488,0.00029975548,0.00059066515],"genre_scores_gemma":[0.99461323,0.000347345,0.0031913666,0.000077650126,0.0000116547335,0.0015588971,0.000050503513,0.00005662876,0.00009271102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877095,0.00023626357,0.00039873587,0.00021325947,0.00013191038,0.0002488792],"domain_scores_gemma":[0.99790204,0.0004934067,0.000095463176,0.0012544715,0.00020267103,0.000051932308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017813439,0.00023546525,0.00018917216,0.000282854,0.00030166365,0.00016950948,0.001017724,0.000102741156,0.000027639271],"category_scores_gemma":[0.000010334762,0.00019754357,0.000041930307,0.0008534154,0.00011330758,0.0010086449,0.0000060068805,0.0004464661,0.00006685615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001168366,0.00017874742,0.000082993305,0.000035865352,0.000022426804,4.0547343e-7,0.001191016,0.99223346,0.0017307524,0.0000940236,0.000040799223,0.004377807],"study_design_scores_gemma":[0.0006522705,0.000038540995,0.00074577524,0.00014446896,0.00002118135,0.0000042566694,0.0006826619,0.9933471,0.003992399,0.00005204646,0.000066874,0.00025243193],"about_ca_topic_score_codex":0.00038082467,"about_ca_topic_score_gemma":0.002792082,"teacher_disagreement_score":0.96365863,"about_ca_system_score_codex":0.00015034404,"about_ca_system_score_gemma":0.000020436675,"threshold_uncertainty_score":0.8055593},"labels":[],"label_agreement":null},{"id":"W2059781453","doi":"10.1109/tvt.2013.2258695","title":"Downlink Scheduling and Resource Allocation for Cognitive Radio MIMO Networks","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cognitive radio; Computer science; Graph coloring; MIMO; Scheduling (production processes); Telecommunications link; Computational complexity theory; Mathematical optimization; Integer programming; Frequency assignment; Greedy algorithm; Base station; Wireless; Computer network; Algorithm; Graph; Theoretical computer science; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.006430525915720786,"score_gpt":0.2075221196547732,"score_spread":0.20109159373905242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059781453","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029073799,0.00055272237,0.9680322,0.00027021437,0.00018738845,0.0009318101,0.000008006036,0.0008884697,0.00005542029],"genre_scores_gemma":[0.97664344,0.00013589709,0.022274828,0.000038325652,0.00003862696,0.00074675924,0.000014253546,0.000055733988,0.000052119933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918556,0.000016236907,0.00023025511,0.00025588562,0.00005514602,0.00025689072],"domain_scores_gemma":[0.9995143,0.00009096714,0.00004041237,0.00019541812,0.00010968598,0.000049207712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006922758,0.00017717727,0.00019094844,0.0002996707,0.00014761231,0.000024595427,0.00008409835,0.00037179774,0.00001048989],"category_scores_gemma":[0.000012763166,0.0001952697,0.000046891248,0.00032967504,0.00008259776,0.00016047359,9.712936e-7,0.00030036477,0.00001879104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008121062,0.00001888121,0.0000054436828,0.00003379773,0.00006383483,7.7020366e-7,0.000040976272,0.9469724,0.0047950894,0.00015060834,0.000025449794,0.04788457],"study_design_scores_gemma":[0.00070409715,0.00008720478,0.000009390042,0.000096147225,0.0000544999,0.00002961046,0.0002853331,0.970846,0.02693145,0.0002476029,0.0004771939,0.00023145025],"about_ca_topic_score_codex":0.000005165524,"about_ca_topic_score_gemma":0.000008567965,"teacher_disagreement_score":0.94756967,"about_ca_system_score_codex":0.00006681216,"about_ca_system_score_gemma":0.000006778601,"threshold_uncertainty_score":0.79628676},"labels":[],"label_agreement":null},{"id":"W2059865168","doi":"10.1109/spawc.2014.6941312","title":"Block-equal QRS decomposition of mimo channels with ML-based block successive cancellation detection","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"MIMO; Block (permutation group theory); Algorithm; Channel (broadcasting); Computer science; QR decomposition; Expression (computer science); Channel state information; Matrix (chemical analysis); Block matrix; Matrix decomposition; Precoding; Transmission (telecommunications); Mathematics; Control theory (sociology); Wireless; Telecommunications; Eigenvalues and eigenvectors; Combinatorics","score_opus":0.004379297693815375,"score_gpt":0.2096191882817628,"score_spread":0.20523989058794742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059865168","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":[0.10711467,0.000024105064,0.89077324,0.000013042186,0.0002271603,0.00026160118,0.0000031235963,0.0002674117,0.0013156714],"genre_scores_gemma":[0.99307555,0.000002901208,0.006653283,0.000011725032,0.00010874727,0.000033030545,0.000021570462,0.00004007126,0.000053125153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992273,0.000034404085,0.00026427474,0.0001698836,0.00013912964,0.00016501037],"domain_scores_gemma":[0.99944603,0.000071188275,0.00011539094,0.00017052336,0.00014647673,0.000050404207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008718874,0.00015381184,0.00018196336,0.00014327049,0.000054313397,0.000016510074,0.000058442554,0.00008799895,0.0000145459235],"category_scores_gemma":[0.000014854985,0.00014430673,0.000029497316,0.00024876333,0.000021574251,0.00018255817,0.000005302102,0.000071479015,0.000007155506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025678612,0.000010450309,0.00011018248,0.0000826067,0.000014285906,2.9361826e-7,0.00006214407,0.93938375,0.05938106,0.000053289114,0.000010620754,0.00086565764],"study_design_scores_gemma":[0.0004528981,0.00010049761,0.000060021892,0.000059695893,0.000015162155,0.0000029016246,0.000022901115,0.6510234,0.34806615,0.000019056972,0.000044908094,0.00013244097],"about_ca_topic_score_codex":0.000091750524,"about_ca_topic_score_gemma":0.0003324793,"teacher_disagreement_score":0.8859609,"about_ca_system_score_codex":0.00010958674,"about_ca_system_score_gemma":0.000012908187,"threshold_uncertainty_score":0.5884658},"labels":[],"label_agreement":null},{"id":"W2059952826","doi":"10.1109/glocom.2008.ecp.682","title":"Superimposed Training Designs for Spatially Correlated MIMO-OFDM Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Orthogonal frequency-division multiplexing; Redundancy (engineering); Computer science; MIMO; Channel (broadcasting); MIMO-OFDM; Algorithm; Multiplexing; Mathematical optimization; Mathematics; Telecommunications","score_opus":0.05670255163041442,"score_gpt":0.2342240352474755,"score_spread":0.1775214836170611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059952826","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":[0.014240973,0.00023889086,0.9783395,0.000007058548,0.00089466723,0.00080841116,0.0000124024955,0.0010400566,0.004418042],"genre_scores_gemma":[0.95936763,0.000025596357,0.03924719,0.000011946754,0.00012906392,0.00012873368,0.00005190271,0.00008793827,0.00095000997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903786,0.000019193156,0.00036749136,0.00017667007,0.000092760856,0.0003060062],"domain_scores_gemma":[0.9995053,0.00010833742,0.000036275866,0.00018091063,0.00008417267,0.000085005966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009928344,0.00018117517,0.00025858416,0.0000886906,0.00010888985,0.000021296562,0.0000994061,0.00013001761,0.000027704938],"category_scores_gemma":[0.000048097387,0.00018370949,0.00005643995,0.00015982559,0.000021182395,0.0002080064,0.0000066697357,0.0000791658,0.000029063616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010450788,0.0000075053927,0.00004471162,0.000065315595,0.00003483423,0.0000068013937,0.0010293341,0.97516274,0.022031745,0.0006528865,0.00057207065,0.0003816248],"study_design_scores_gemma":[0.00065275683,0.00006534487,0.00002871861,0.000045294673,0.000013478936,0.00007878644,0.00034899425,0.99409026,0.0032451414,0.000021507658,0.0011206183,0.00028911346],"about_ca_topic_score_codex":0.000027376796,"about_ca_topic_score_gemma":0.000010816552,"teacher_disagreement_score":0.94512665,"about_ca_system_score_codex":0.00009116893,"about_ca_system_score_gemma":0.000034859873,"threshold_uncertainty_score":0.74914557},"labels":[],"label_agreement":null},{"id":"W2060369411","doi":"10.1109/glocom.2012.6503283","title":"On the user scheduling in cognitive radio MIMO networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Cognitive radio; Computer science; Graph coloring; MIMO; Greedy algorithm; Scheduling (production processes); Optimization problem; Computer network; Integer programming; Wireless; Spectral efficiency; Mathematical optimization; Distributed computing; Channel (broadcasting); Algorithm; Graph; Theoretical computer science; Telecommunications; Mathematics","score_opus":0.014749169914784253,"score_gpt":0.23256128383908872,"score_spread":0.21781211392430447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060369411","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":[0.06007708,0.00041400336,0.92132294,0.000022348522,0.0003272269,0.0002157072,5.380313e-7,0.00014885646,0.017471304],"genre_scores_gemma":[0.99703294,0.000021017087,0.0024735385,0.00008107579,0.00013405953,0.000028398686,0.000003172768,0.000023918428,0.00020185608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956256,0.000020274145,0.00010886558,0.00005907975,0.000043292992,0.00020590553],"domain_scores_gemma":[0.9996519,0.00020467296,0.000012334175,0.000086883054,0.000013143167,0.000031074276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013926433,0.00008014372,0.00007291256,0.000035390793,0.000023723322,0.000010479972,0.00004463119,0.00004931482,0.00009270464],"category_scores_gemma":[0.00005433426,0.00005780907,0.000015650978,0.00014093182,0.0000088995375,0.0001656113,0.000008642724,0.00013444113,0.00005205321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028303648,0.000007033731,0.0014587671,0.000003165344,0.0000074799923,3.2800304e-7,0.00016441135,0.99291486,0.00003073241,0.004870701,0.00017059746,0.0003691266],"study_design_scores_gemma":[0.0002746659,0.0000068609406,0.00089583243,0.000095478434,0.0000050458425,0.000002284455,0.00040449202,0.99723166,0.00066758733,0.000055631506,0.00021228008,0.00014819826],"about_ca_topic_score_codex":0.000004739381,"about_ca_topic_score_gemma":0.0000106724165,"teacher_disagreement_score":0.93695587,"about_ca_system_score_codex":0.0000442971,"about_ca_system_score_gemma":0.0000018136942,"threshold_uncertainty_score":0.23573855},"labels":[],"label_agreement":null},{"id":"W2061819184","doi":"10.1109/icc.2012.6363772","title":"Characterizing random CSMA wireless networks: A stochastic geometry approach","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Poisson point process; Point process; Stochastic geometry; Node (physics); Computer science; Boolean model; Interference (communication); Wireless network; Stochastic process; Probability density function; Laplace transform; Poisson distribution; Topology (electrical circuits); Mathematics; Wireless; Computer network; Channel (broadcasting); Statistics; Mathematical analysis; Engineering; Telecommunications","score_opus":0.009838049139074049,"score_gpt":0.2028912518906414,"score_spread":0.19305320275156734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061819184","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":[0.011907672,0.00055793946,0.9806088,0.000003937837,0.0006865637,0.00029815015,0.0000016486975,0.0006341133,0.0053011496],"genre_scores_gemma":[0.9891497,0.00001770246,0.009876503,0.000025780973,0.0005568197,0.00007446619,0.000033365446,0.00006477868,0.0002009092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911124,0.000019233157,0.00023281128,0.0001218015,0.000088237175,0.00042669955],"domain_scores_gemma":[0.9995656,0.00005708211,0.00003685334,0.00019929199,0.000022099302,0.00011909377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018038537,0.00017042599,0.00023077492,0.00009953051,0.00004893407,0.000027479093,0.00009204812,0.000093167364,0.00003865409],"category_scores_gemma":[0.000016453881,0.00016157248,0.000043567976,0.0002755997,0.000013617126,0.00046995308,0.00002453343,0.0001331716,0.000042462954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010077445,0.000020512985,0.00014960197,0.000053729975,0.000030222991,2.393127e-7,0.0002122501,0.99530035,0.0011707022,0.00048473326,0.00009533388,0.0024722486],"study_design_scores_gemma":[0.0006398429,0.000004519508,0.00023268882,0.000025170966,0.000013936186,0.000017133318,0.00013540652,0.9983637,0.00021340173,0.0000029385342,0.00012121463,0.00023006613],"about_ca_topic_score_codex":0.0000028183188,"about_ca_topic_score_gemma":3.82348e-7,"teacher_disagreement_score":0.977242,"about_ca_system_score_codex":0.0000651326,"about_ca_system_score_gemma":0.0000029553978,"threshold_uncertainty_score":0.65887344},"labels":[],"label_agreement":null},{"id":"W2061950483","doi":"10.1109/vtcfall.2012.6399328","title":"Downlink Transmission Optimization Framework","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Telecommunications link; Optimization problem; Transmitter power output; Base station; Cellular network; Transmission (telecommunications); Interference (communication); Power optimization; Limit (mathematics); Disjoint sets; Computer network; Distributed computing; Power (physics); Algorithm; Telecommunications; Mathematics; Transmitter; Power consumption","score_opus":0.008009173958657832,"score_gpt":0.22416165596308074,"score_spread":0.2161524820044229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061950483","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":[0.0001863431,0.0005702981,0.98168975,0.000022300397,0.0003896655,0.00011782285,7.688813e-7,0.0006897746,0.016333302],"genre_scores_gemma":[0.41291648,0.000102008176,0.5865538,0.00002515613,0.00016208342,0.000010707027,0.0000132115365,0.000029324512,0.00018721666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995271,0.000009434885,0.00014046898,0.000063056585,0.00006372941,0.00019621394],"domain_scores_gemma":[0.99973136,0.000024932924,0.00001204828,0.00012320843,0.0000183039,0.00009016168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006082368,0.000090840425,0.00007940144,0.000045185774,0.00003202017,0.000010570498,0.000046761812,0.00010412693,0.0004905349],"category_scores_gemma":[0.000011809213,0.00008342164,0.000022800676,0.0001516712,0.000005818523,0.00037942408,0.0000044355447,0.000082176346,0.00007723205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010702105,0.00000768942,0.00012174421,0.000018937419,0.000004461802,1.0105184e-7,0.00018139994,0.99183625,0.00030622748,0.0011383474,0.00025878716,0.0061249677],"study_design_scores_gemma":[0.00011062341,0.000005792462,0.000040775838,0.000036698555,0.0000073806464,0.0000052263385,0.000041514,0.9894869,0.0040067523,0.0001239896,0.0059545795,0.00017977357],"about_ca_topic_score_codex":6.948146e-7,"about_ca_topic_score_gemma":8.5618574e-8,"teacher_disagreement_score":0.41273016,"about_ca_system_score_codex":0.0000388405,"about_ca_system_score_gemma":0.0000022290417,"threshold_uncertainty_score":0.53710127},"labels":[],"label_agreement":null},{"id":"W2061985274","doi":"10.1109/ccece.2014.6901140","title":"Percentage of Gaussianly distributed users with adequate quality of service in a circular cell","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Path loss; Quality of service; Situated; Computer science; Base station; Probability density function; Gaussian; Center (category theory); Channel (broadcasting); Path (computing); Quality (philosophy); Service (business); Rural area; Computer network; Telecommunications; Topology (electrical circuits); Statistics; Mathematics; Wireless; Artificial intelligence; Physics","score_opus":0.011034205182791097,"score_gpt":0.22487654178607852,"score_spread":0.21384233660328741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061985274","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":[0.37711155,0.000019774803,0.6208974,0.0000111493655,0.0000219573,0.00012971548,0.000016769292,0.000052974316,0.0017387014],"genre_scores_gemma":[0.9952479,0.0000028245531,0.004648949,0.000010584481,0.0000048013476,0.0000067402393,0.0000368667,0.000019187213,0.000022137625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993094,0.00004077332,0.00032178525,0.0001049275,0.00009753749,0.0001255416],"domain_scores_gemma":[0.999583,0.00003266701,0.000073905,0.00023106902,0.00004570356,0.000033653876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014699459,0.00009381307,0.0002207565,0.000050382372,0.000005897822,0.0000028032232,0.00008024012,0.00004687823,0.000028919874],"category_scores_gemma":[0.000008687124,0.000084185755,0.000020000703,0.00022959846,0.00001247269,0.0001062119,0.000010696922,0.00005392329,0.0000037145173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017229362,0.00003380154,0.011703749,0.0008111802,0.000013475359,6.3581035e-7,0.00049477845,0.9574203,0.028824368,0.00061269273,0.000007881079,0.000059915852],"study_design_scores_gemma":[0.0040073777,0.00012352709,0.09857269,0.0003550128,0.000037644837,0.0000032350672,0.003473461,0.8112485,0.08128137,0.000094176685,0.00013309224,0.00066994084],"about_ca_topic_score_codex":0.00046212893,"about_ca_topic_score_gemma":0.0003006942,"teacher_disagreement_score":0.61813635,"about_ca_system_score_codex":0.000043695953,"about_ca_system_score_gemma":0.000007142229,"threshold_uncertainty_score":0.34329954},"labels":[],"label_agreement":null},{"id":"W2063783961","doi":"10.1109/twc.2014.2367032","title":"Energy Efficiency Maximization Framework in Cognitive Downlink Two-Tier Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macrocell; Computer science; Cognitive radio; Efficient energy use; Mathematical optimization; Telecommunications link; Spectral efficiency; Convergence (economics); Stochastic geometry; Wireless; Interference (communication); Maximization; Transmitter power output; Optimization problem; Computer network; Algorithm; Telecommunications; Base station; Mathematics; Channel (broadcasting); Engineering","score_opus":0.013694409739278919,"score_gpt":0.25162355023515043,"score_spread":0.23792914049587152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063783961","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":[0.0008144418,0.00024379368,0.9946309,0.00011108636,0.00045199326,0.00027465765,0.000022168113,0.0004838139,0.0029671802],"genre_scores_gemma":[0.98598367,0.00095508585,0.012304956,0.00012782695,0.00004464542,0.00033867318,0.0000719384,0.000074304,0.000098875156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985957,0.00020689277,0.0004987233,0.0002502049,0.00013871895,0.0003097516],"domain_scores_gemma":[0.9978814,0.00068269105,0.00008373577,0.001105468,0.00015818745,0.00008848299],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001836661,0.00024499578,0.00025883247,0.00034622184,0.00029833877,0.000049028742,0.00049344695,0.00020964847,0.000046547393],"category_scores_gemma":[0.000018804572,0.0002895128,0.00007605921,0.0010253051,0.000119680415,0.00026575476,0.000005100789,0.0005888167,0.000031831027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009344185,0.00013956462,0.000020748355,0.000008856371,0.000020842881,2.6061477e-7,0.0003074109,0.94571215,0.00007683395,0.0023152304,0.000015889178,0.051372882],"study_design_scores_gemma":[0.00055368606,0.000029696123,0.000022223934,0.00024196811,0.000026616797,0.0000029800678,0.00008702007,0.9972122,0.000929381,0.00031481794,0.00028774625,0.000291704],"about_ca_topic_score_codex":0.000062391315,"about_ca_topic_score_gemma":0.0004240441,"teacher_disagreement_score":0.98516923,"about_ca_system_score_codex":0.00017102757,"about_ca_system_score_gemma":0.00001955086,"threshold_uncertainty_score":0.9999557},"labels":[],"label_agreement":null},{"id":"W2063862284","doi":"10.1109/tvt.2013.2241091","title":"GSVD Beamforming for Two-User MIMO Downlink Channel","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Beamforming; Precoding; Computer science; MIMO; Telecommunications link; Fading; Rayleigh fading; Channel (broadcasting); Channel state information; Electronic engineering; Algorithm; Telecommunications; Wireless; Engineering","score_opus":0.006963338413119992,"score_gpt":0.2155605062179824,"score_spread":0.2085971678048624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063862284","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01202622,0.0001239556,0.9837451,0.00034956273,0.00072455517,0.0010692979,0.00002116819,0.001793776,0.00014639634],"genre_scores_gemma":[0.955583,0.000042915486,0.042249504,0.000049715847,0.00005679462,0.0015784797,0.000009475152,0.00009888528,0.0003312259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988935,0.000009108521,0.00031288064,0.00028324145,0.00008614342,0.0004151205],"domain_scores_gemma":[0.99931234,0.000040983894,0.000044428798,0.00042463504,0.0001171251,0.000060497212],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000060702878,0.00024378227,0.0002583978,0.0005021775,0.00016128669,0.000021976337,0.0002054822,0.00035849726,0.000045352073],"category_scores_gemma":[0.000006770846,0.00025636418,0.00011185708,0.00045147215,0.00006005441,0.00026870475,0.0000012944532,0.0003252738,0.00019480067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004065252,0.00003447907,0.0000010847989,0.000049735936,0.00006455482,0.0000015282664,0.00004223377,0.9440249,0.03899484,0.00020304463,0.00010918255,0.016470302],"study_design_scores_gemma":[0.0011024212,0.00012576327,0.0000013458177,0.00007002872,0.000049562874,0.000047451354,0.0002059724,0.6118444,0.3807622,0.0012913761,0.004064454,0.0004350117],"about_ca_topic_score_codex":0.00001549556,"about_ca_topic_score_gemma":0.000026447828,"teacher_disagreement_score":0.9435568,"about_ca_system_score_codex":0.00013699922,"about_ca_system_score_gemma":0.000011438884,"threshold_uncertainty_score":0.99998885},"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":"W2064654093","doi":"10.1109/ecwt.2006.280472","title":"Precise Estimation of MIMO Channel Capacity From RF Measurements","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"MIMO; Channel (broadcasting); Channel capacity; Precoding; Computer science; Transmission (telecommunications); Signal-to-noise ratio (imaging); Overhead (engineering); Electronic engineering; Control theory (sociology); Telecommunications; Engineering","score_opus":0.02528711329671041,"score_gpt":0.21365814076434148,"score_spread":0.18837102746763107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064654093","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":[0.097377315,0.00008253638,0.8942997,0.0000036332228,0.00018938047,0.00016405215,0.000014958819,0.00020306034,0.007665347],"genre_scores_gemma":[0.94883674,0.0000019647673,0.050928313,0.0000013628128,0.00004159231,0.000012913825,0.00003192273,0.00001720283,0.00012798469],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947584,0.000008020956,0.00021842904,0.00008828409,0.00011747068,0.00009193832],"domain_scores_gemma":[0.9997347,0.0000145663025,0.000040100585,0.0001389955,0.000052481846,0.000019168652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005437593,0.00008326005,0.00011277709,0.000043771557,0.000014795413,0.0000063719463,0.00005014905,0.000048176385,0.00003683345],"category_scores_gemma":[0.000017730486,0.00008561318,0.00002147626,0.000087466025,0.0000086641385,0.00018048257,0.0000059223953,0.000030381067,0.000019647445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016517276,0.00001231513,0.0001758953,0.000023722365,0.000008897762,7.462037e-8,0.00005577603,0.9795561,0.01924334,0.00003926563,0.000347283,0.00053569913],"study_design_scores_gemma":[0.00027385046,0.0000061650762,0.00096138415,0.000041486015,0.000010257329,3.2311183e-7,0.00001289475,0.7947717,0.20267108,0.0011138266,0.000027685015,0.00010936142],"about_ca_topic_score_codex":0.0005648835,"about_ca_topic_score_gemma":0.00017800894,"teacher_disagreement_score":0.85145944,"about_ca_system_score_codex":0.00005878788,"about_ca_system_score_gemma":0.000003101951,"threshold_uncertainty_score":0.34912044},"labels":[],"label_agreement":null},{"id":"W2065257403","doi":"10.1109/icassp.2013.6638485","title":"Interference alignment using reweighted nuclear norm minimization","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Interference alignment; Matrix norm; MIMO; Interference (communication); Minification; Algorithm; Computer science; Rank (graph theory); Norm (philosophy); Low-rank approximation; Channel (broadcasting); Mathematical optimization; Iterative method; Mathematics; Telecommunications","score_opus":0.011966372924511429,"score_gpt":0.20594943842105473,"score_spread":0.19398306549654332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065257403","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":[0.047432814,0.00002801207,0.93603015,0.000020223859,0.0002784425,0.0002808824,9.679685e-7,0.00050935283,0.015419163],"genre_scores_gemma":[0.9226029,0.0000146959,0.07702349,0.000031667878,0.000037814974,0.000010672279,0.0000072146527,0.000035896686,0.00023563352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994922,0.0000088221095,0.00019016198,0.00010883767,0.00006037747,0.00013959699],"domain_scores_gemma":[0.9997144,0.000009160453,0.00002557626,0.00015167674,0.000053234497,0.000045989163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000019567424,0.00009914839,0.00009015235,0.00005680688,0.000032226006,0.000038687223,0.00007108521,0.0000498771,0.00077119475],"category_scores_gemma":[0.000008064148,0.000095219286,0.000016418187,0.00011980012,0.000009452753,0.0003721821,0.00002041643,0.000040548814,0.0002519808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020243372,0.000014827002,0.00014195958,0.000047572415,0.000024247624,7.700241e-7,0.00047788283,0.9391445,0.05314384,0.0011013206,0.0028986193,0.0030024669],"study_design_scores_gemma":[0.00011558235,0.00000989472,0.00005512967,0.000030482855,0.000004348256,0.000003538434,0.00014699486,0.9947977,0.0041766134,0.00008879955,0.00043761943,0.00013330039],"about_ca_topic_score_codex":0.000044309305,"about_ca_topic_score_gemma":0.0000036762256,"teacher_disagreement_score":0.8751701,"about_ca_system_score_codex":0.00011361618,"about_ca_system_score_gemma":0.0000031792722,"threshold_uncertainty_score":0.8444042},"labels":[],"label_agreement":null},{"id":"W2065684845","doi":"10.1109/icc.2013.6655576","title":"Traffic offloading techniques in two-tier femtocell networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Femtocell; Computer science; Computer network; Cellular network; Wireless network; Software deployment; Power control; Wireless; Power (physics); Telecommunications; Base station; Operating system","score_opus":0.005870131248789766,"score_gpt":0.21404910947879802,"score_spread":0.20817897823000825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065684845","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":[0.025545342,0.0002568701,0.93720806,0.000014488959,0.00018333276,0.0005648677,2.4552466e-7,0.0013224651,0.03490436],"genre_scores_gemma":[0.9665496,0.000032198295,0.032581694,0.000024619512,0.00008188235,0.00011430897,0.000003921628,0.000040107454,0.0005716944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994017,0.000010611528,0.0002086246,0.00011541403,0.00004374492,0.00021991272],"domain_scores_gemma":[0.9997618,0.000021225109,0.000016335855,0.00013939552,0.000021634634,0.00003959491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062887084,0.00011356311,0.00012601404,0.00010323864,0.000015285874,0.00002774176,0.000076468445,0.00005819137,0.00017268876],"category_scores_gemma":[0.0000053836843,0.00011200203,0.00002058627,0.00020928241,0.0000085623205,0.00028933896,0.000012182682,0.00011685533,0.00007254842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.9513324e-7,0.0000044024105,0.00019344855,0.000011856251,0.0000026342698,7.979881e-7,0.000056207566,0.98398364,0.00095230865,0.000073198506,0.0011030098,0.0136181265],"study_design_scores_gemma":[0.00012275945,0.000005577936,0.000060699447,0.00003297651,0.000001350851,0.000002038338,0.000043819975,0.9963874,0.0026835157,0.00003582056,0.00047538173,0.00014866276],"about_ca_topic_score_codex":0.000035981728,"about_ca_topic_score_gemma":0.00005250671,"teacher_disagreement_score":0.9410042,"about_ca_system_score_codex":0.00008168934,"about_ca_system_score_gemma":0.000002755109,"threshold_uncertainty_score":0.45673102},"labels":[],"label_agreement":null},{"id":"W2065820591","doi":"10.1109/vetecs.2010.5493733","title":"Improved Sum Power Iterative Water-Filling with Rapid Convergence and Robustness for Multi-Antenna Gaussian Broadcast Channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Robustness (evolution); MIMO; Computer science; Computation; Algorithm; Iterative method; Convergence (economics); Gaussian; Mathematical optimization; Channel (broadcasting); Mathematics; Telecommunications","score_opus":0.012199064195321078,"score_gpt":0.22588598781093916,"score_spread":0.21368692361561809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065820591","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":[0.07031896,0.000053058797,0.92773974,0.000023191791,0.00087632914,0.0006641255,0.00001497985,0.0002255551,0.0000840423],"genre_scores_gemma":[0.894096,0.000012897127,0.10514829,0.000011295784,0.000064176835,0.000112046546,0.000025061201,0.00005979648,0.0004704078],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991374,0.000008240037,0.00021121926,0.0002635126,0.00005168197,0.00032796038],"domain_scores_gemma":[0.99953234,0.000024327319,0.000033369935,0.00017939464,0.00013354963,0.00009700735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094794916,0.00022036883,0.00021213588,0.00006839462,0.00009287631,0.000063837666,0.000077903285,0.00009738741,0.00007288406],"category_scores_gemma":[0.000011476585,0.00015088926,0.000025434612,0.000070239956,0.000044732493,0.00040680554,0.000019725505,0.00013715687,0.0000028369711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007572917,0.000035967987,0.00024826324,0.00023499115,0.00008939115,0.000005252253,0.0029128455,0.2685989,0.72664016,0.00019222422,0.000028727083,0.00093755964],"study_design_scores_gemma":[0.00085592974,0.00006673035,0.000017581955,0.000033811564,0.000008870139,0.00001413984,0.0003213371,0.8922732,0.105995804,0.0000023722446,0.00014845653,0.0002618056],"about_ca_topic_score_codex":0.000010138561,"about_ca_topic_score_gemma":0.000046910638,"teacher_disagreement_score":0.8237771,"about_ca_system_score_codex":0.000016259943,"about_ca_system_score_gemma":0.000006362393,"threshold_uncertainty_score":0.6153086},"labels":[],"label_agreement":null},{"id":"W2065969250","doi":"10.1109/wcnc.2014.6952778","title":"Impact of limited backhaul capacity on user scheduling in heterogeneous networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Backhaul (telecommunications); Computer science; Scheduling (production processes); Computer network; Distributed computing; Fair-share scheduling; Dynamic priority scheduling; Base station; Mathematical optimization; Quality of service; Mathematics","score_opus":0.012419629094164166,"score_gpt":0.22967922570032165,"score_spread":0.21725959660615748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065969250","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":[0.5459767,0.000018715798,0.4527715,0.0000010674115,0.00007247038,0.00008000926,8.5237326e-7,0.000091867965,0.0009867841],"genre_scores_gemma":[0.9900259,0.000011110673,0.00984375,0.000009271354,0.00004816294,0.0000053463555,0.000005452626,0.000032078988,0.000018926112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938124,0.000027291426,0.00023288788,0.000112978705,0.00005726185,0.0001883291],"domain_scores_gemma":[0.99962145,0.00006198346,0.000033814336,0.00020737827,0.000029862982,0.000045508394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094382725,0.00012270347,0.00018437832,0.00009977267,0.000010368321,0.000007843277,0.00006638515,0.00009261402,0.000032028653],"category_scores_gemma":[0.00004037501,0.00011076747,0.000055206947,0.00018423877,0.000010032496,0.00008389131,0.000009480268,0.00011244479,0.0000105927475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007249526,0.00001284976,0.0052338145,0.000013847566,0.000014191212,4.5968955e-7,0.000029479323,0.99293023,0.0011551778,0.00007662963,0.000013066597,0.0005130157],"study_design_scores_gemma":[0.0002703126,0.000059990023,0.0024336868,0.000049187653,0.0000022985878,0.0000025090123,0.0000034840543,0.9950193,0.0020197527,0.000016714896,0.000011233122,0.00011151617],"about_ca_topic_score_codex":0.000055499626,"about_ca_topic_score_gemma":0.00006685702,"teacher_disagreement_score":0.44404918,"about_ca_system_score_codex":0.00010388947,"about_ca_system_score_gemma":0.0000031582235,"threshold_uncertainty_score":0.45169663},"labels":[],"label_agreement":null},{"id":"W2066086342","doi":"10.1109/wimob.2013.6673416","title":"Efficient user and power allocation in femtocell networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Macrocell; Femtocell; Computer science; Heuristic; Mathematical optimization; Signal-to-interference-plus-noise ratio; Base station; Time complexity; Transmitter power output; Maximization; Cellular network; Frequency allocation; Computational complexity theory; Integer programming; Power (physics); Computer network; Algorithm; Mathematics","score_opus":0.003951336450890915,"score_gpt":0.18221524550168264,"score_spread":0.17826390905079173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066086342","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":[0.19481586,0.00018194654,0.79779035,0.000019863519,0.00011310204,0.0002806181,9.472399e-8,0.00013112239,0.0066670463],"genre_scores_gemma":[0.99528176,0.0000119475335,0.004293072,0.000019746903,0.000012134153,0.000030378207,0.0000019282456,0.000014019514,0.00033501696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996867,0.0000053544745,0.00010564566,0.000073501324,0.00002820371,0.00010057892],"domain_scores_gemma":[0.99985874,0.000012998608,0.000008352547,0.00007666068,0.000017550048,0.00002570607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000347175,0.000056575464,0.000054458997,0.000039330727,0.000008546037,0.000016074842,0.000022636663,0.00004043036,0.00008153766],"category_scores_gemma":[0.0000042655047,0.000053326217,0.000005201551,0.00008843954,0.00000548358,0.000059780512,0.000008443402,0.00004137744,0.000040291277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.0059206e-7,0.0000037487619,0.00077348744,0.000005418701,0.0000011989948,1.3268013e-7,0.00006145552,0.99795353,0.0003588722,0.00019756406,0.0002669345,0.00037736027],"study_design_scores_gemma":[0.00012321802,0.0000038673165,0.0041470607,0.000009142405,6.207127e-7,7.899131e-7,0.000051796695,0.99534434,0.00012950202,0.0000117024965,0.00011156302,0.00006638159],"about_ca_topic_score_codex":0.00002656012,"about_ca_topic_score_gemma":0.000015914315,"teacher_disagreement_score":0.8004659,"about_ca_system_score_codex":0.000029379524,"about_ca_system_score_gemma":0.0000012249011,"threshold_uncertainty_score":0.217458},"labels":[],"label_agreement":null},{"id":"W2066378255","doi":"10.1109/glocomw.2013.6855735","title":"A geometrical probability-based approach towards the analysis of uplink inter-cell interference","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interference (communication); Stochastic geometry; Probability density function; Topology (electrical circuits); Computer science; Telecommunications link; Transmission (telecommunications); Coverage probability; Power (physics); Probability distribution; SIGNAL (programming language); Cellular network; Algorithm; Characteristic function (probability theory); Signal-to-interference ratio; Statistical physics; Mathematics; Electronic engineering; Telecommunications; Physics; Statistics; Engineering","score_opus":0.022042378849834943,"score_gpt":0.21884331196646342,"score_spread":0.19680093311662847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066378255","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":[0.02005852,0.000043829234,0.97045654,0.000031734948,0.000045156874,0.00039592275,0.0000022781849,0.00014559214,0.008820396],"genre_scores_gemma":[0.9300398,0.0000023315336,0.06964877,0.000016430835,0.000008385274,0.00010828201,0.000015858945,0.000013609213,0.00014651548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919564,0.000031371303,0.00034871543,0.00017183104,0.000098019664,0.00015443211],"domain_scores_gemma":[0.9992559,0.00009520047,0.000051351468,0.00041708082,0.00013627204,0.00004421279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001629703,0.0001246444,0.00026690646,0.00036050743,0.000017305169,0.000026866948,0.0002527416,0.000063529034,0.00023266618],"category_scores_gemma":[0.00006811387,0.000079903424,0.00012107918,0.002014657,0.000044630586,0.00011083623,0.000039957242,0.00011915141,0.000018749068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002232861,0.000058991507,0.00090178417,0.00009833656,0.00013095149,4.9853078e-8,0.00014399519,0.9919299,0.0005731442,0.000112952875,0.00012388088,0.0059237643],"study_design_scores_gemma":[0.00010682507,0.000019543431,0.00057348656,0.0000055586897,0.000096912954,1.7320905e-7,0.00007281231,0.9962274,0.0027162086,0.000061499886,0.000026924514,0.00009268231],"about_ca_topic_score_codex":0.00010831285,"about_ca_topic_score_gemma":0.0000063800867,"teacher_disagreement_score":0.9099813,"about_ca_system_score_codex":0.000070612754,"about_ca_system_score_gemma":0.000012807024,"threshold_uncertainty_score":0.3258367},"labels":[],"label_agreement":null},{"id":"W2066496517","doi":"10.1007/s11036-013-0441-3","title":"Green Cooperative Cognitive Communication and Networking: A New Paradigm for Wireless Networks","year":2013,"lang":"en","type":"article","venue":"Mobile Networks and Applications","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; Cognitive radio; Wireless; Efficient energy use; Context (archaeology); Software deployment; Telecommunications; Energy consumption; Cognitive network; Wireless network; Green computing; Information and Communications Technology; Open research; Computer network; Electrical engineering; Engineering","score_opus":0.008819047537617664,"score_gpt":0.22713236056628533,"score_spread":0.21831331302866766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066496517","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":[0.0012751524,0.009159637,0.98566467,0.000062022365,0.000049085334,0.0032092615,0.0000093267645,0.00019694018,0.00037389752],"genre_scores_gemma":[0.98477834,0.0044271853,0.0011076139,0.000089734815,0.00056381227,0.008493881,0.00024940065,0.000057434798,0.00023258686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991822,0.00002468855,0.0002589261,0.00024344848,0.000039287974,0.00025140302],"domain_scores_gemma":[0.9991901,0.00028198474,0.00007042916,0.00022792471,0.00008715197,0.00014242313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000729734,0.0001880562,0.0002143437,0.000032704742,0.00027751684,0.00010615427,0.000096568445,0.00013083237,0.000009744497],"category_scores_gemma":[0.0000018936665,0.00019419989,0.000025645619,0.00022138887,0.000082416074,0.00022102638,0.00004285038,0.00015180376,0.0000033456993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004283292,0.000012055826,0.0001512981,0.00001817909,0.000034662593,3.901925e-8,0.00007347419,0.84989446,0.000010485455,0.0019064292,0.0014168344,0.14647777],"study_design_scores_gemma":[0.00046453738,0.000032948545,0.00018616857,0.00006698052,0.00003425903,0.0000042745405,0.00015029694,0.9843379,0.000007206926,0.0007433569,0.013748275,0.00022379267],"about_ca_topic_score_codex":0.00006489091,"about_ca_topic_score_gemma":0.000060071932,"teacher_disagreement_score":0.9845571,"about_ca_system_score_codex":0.000026133683,"about_ca_system_score_gemma":0.0000090386675,"threshold_uncertainty_score":0.7919242},"labels":[],"label_agreement":null},{"id":"W2066780448","doi":"10.1109/ccece.2013.6567765","title":"Antenna placement optimization for cellular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cellular network; Antenna (radio); Network topology; Process (computing); Inefficiency; Optimization problem; Node (physics); Mathematical optimization; Distributed computing; Computer network; Telecommunications; Algorithm; Engineering; Mathematics","score_opus":0.006575024771408451,"score_gpt":0.1893996546999,"score_spread":0.18282462992849155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066780448","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":[0.00020668472,0.00014583685,0.99612075,0.000018985493,0.00032052907,0.00075272634,0.0000011059993,0.00038850427,0.0020449057],"genre_scores_gemma":[0.6840565,0.000059145783,0.31350982,0.000053433905,0.00018426075,0.00045065567,0.00010229343,0.000068917536,0.0015149551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995239,0.000004611181,0.00016416197,0.00009776623,0.000039232727,0.00017035364],"domain_scores_gemma":[0.9997316,0.000021006372,0.000019574356,0.00012142393,0.00006582051,0.000040581574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003984969,0.000092260016,0.000086857544,0.000035586538,0.0000322963,0.000029377607,0.000050228595,0.000053173968,0.00033621961],"category_scores_gemma":[0.000007519953,0.000089123554,0.00002427721,0.00007846837,0.0000052107857,0.00021329518,0.0000079522815,0.00003019895,0.000029008284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011574731,0.000003845674,0.000012007688,0.000020262847,0.00000886503,6.569211e-8,0.000013520689,0.99601066,0.0010085175,0.00015404887,0.0023617998,0.00040526484],"study_design_scores_gemma":[0.00024084066,0.000014172428,0.0000022358658,0.000009681796,0.0000044159096,4.0817275e-7,0.000046179866,0.9983618,0.0008176564,0.00002239674,0.0003688505,0.00011132843],"about_ca_topic_score_codex":0.0000043925343,"about_ca_topic_score_gemma":0.0000011273416,"teacher_disagreement_score":0.6838498,"about_ca_system_score_codex":0.00004590279,"about_ca_system_score_gemma":0.0000021891362,"threshold_uncertainty_score":0.3681369},"labels":[],"label_agreement":null},{"id":"W2067750073","doi":"10.1145/2746285.2746317","title":"Handoff Rate Analysis in Heterogeneous Wireless Networks with Poisson and Poisson Cluster Patterns","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Handover; Poisson point process; Stochastic geometry; Overhead (engineering); Base station; Poisson distribution; Computer network; Randomness; Quality of service; Point process; Wireless network; Wireless; Distributed computing; Telecommunications; Statistics; Mathematics","score_opus":0.007457561329675301,"score_gpt":0.20180036966385545,"score_spread":0.19434280833418016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067750073","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":[0.4264959,0.00013602726,0.57287127,0.000017522278,0.000045778754,0.0001323583,0.0000018658648,0.00010779539,0.00019143449],"genre_scores_gemma":[0.9980844,0.000045680346,0.0015399469,0.000041507683,0.000038580692,0.000021570742,0.000028186974,0.00003879691,0.00016130316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992197,0.000044653112,0.00021338613,0.00020635864,0.00007889525,0.0002369954],"domain_scores_gemma":[0.99958706,0.000027839047,0.00003562547,0.00019100554,0.00004360188,0.0001148893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014844733,0.0001689411,0.00027990996,0.00018211329,0.000016996848,0.000046314828,0.000053517102,0.0000819016,0.000009526833],"category_scores_gemma":[0.000004626703,0.00014131505,0.000025273432,0.00042076825,0.000011461128,0.00017412155,0.000022875149,0.000090681824,0.0000028740978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029356643,0.0000064713877,0.04210191,0.000014928226,0.000095313466,0.000013450646,0.00020486508,0.95696646,0.000029371344,0.0000048282855,0.000023521807,0.0005095161],"study_design_scores_gemma":[0.0009519739,0.000036130186,0.0022363174,0.000030261735,0.000066465866,0.00001250532,0.000095113195,0.99599135,0.00035140754,0.0000053643985,0.000021117694,0.00020200049],"about_ca_topic_score_codex":0.0002278269,"about_ca_topic_score_gemma":0.0044147116,"teacher_disagreement_score":0.5715885,"about_ca_system_score_codex":0.00008199705,"about_ca_system_score_gemma":0.00000485383,"threshold_uncertainty_score":0.576266},"labels":[],"label_agreement":null},{"id":"W2067865896","doi":"10.1155/2008/360490","title":"On the Duality between MIMO Systems with Distributed Antennas and MIMO Systems with Colocated Antennas","year":2007,"lang":"en","type":"article","venue":"EURASIP Journal on Advances in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; 3G MIMO; Antenna (radio); Computer science; Transmission (telecommunications); Transmitter; Multi-user MIMO; Telecommunications; Electronic engineering; Topology (electrical circuits); Electrical engineering; Engineering; Beamforming; Channel (broadcasting)","score_opus":0.014377861949124136,"score_gpt":0.2552219440544217,"score_spread":0.2408440821052976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067865896","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":[0.21050921,0.009700093,0.77783823,0.00007322995,0.00027634995,0.00072306744,0.000030002688,0.00021500996,0.00063479977],"genre_scores_gemma":[0.9986391,0.00018666746,0.0006956676,0.000031965174,0.00028049407,0.000023345541,0.00001621767,0.000095954034,0.000030555246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99716467,0.00020157617,0.00093291095,0.00040123364,0.00061621936,0.0006834168],"domain_scores_gemma":[0.99800044,0.00064718944,0.00056200044,0.00022199143,0.00034258657,0.00022579044],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014615145,0.00048966915,0.00062881346,0.0002789284,0.00042629437,0.00038202765,0.0002789102,0.00013182929,0.0000029086013],"category_scores_gemma":[0.000092166716,0.00030052886,0.000035121677,0.0009909994,0.00019648811,0.0010453758,0.00002046288,0.0009711204,0.0000037792638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072833063,0.00007073058,0.01134573,0.0006952299,0.00008904994,0.00037361443,0.0004529441,0.98014945,0.00068840885,0.00030000883,0.0000320563,0.00507446],"study_design_scores_gemma":[0.013351577,0.0056157866,0.021770151,0.051116403,0.0004021432,0.006655141,0.026410324,0.8594619,0.005262699,0.0007379892,0.0042179357,0.004997955],"about_ca_topic_score_codex":0.000007428951,"about_ca_topic_score_gemma":0.000021627022,"teacher_disagreement_score":0.7881299,"about_ca_system_score_codex":0.00037649,"about_ca_system_score_gemma":0.00006352276,"threshold_uncertainty_score":0.9999447},"labels":[],"label_agreement":null},{"id":"W2067878389","doi":"10.1109/glocom.2011.6133725","title":"Low Complexity Symbol-Wise Beamforming for MIMO-OFDM Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; Symbol (formal); Computational complexity theory; Computer science; Orthogonal frequency-division multiplexing; MIMO; Interference (communication); Algorithm; WSDMA; Channel (broadcasting); Precoding; Telecommunications","score_opus":0.04472351888752087,"score_gpt":0.2329659395716666,"score_spread":0.18824242068414573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067878389","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":[0.0032078507,0.00013141085,0.97556454,0.000002899815,0.0008277952,0.00074575783,0.000020681495,0.0007710659,0.018728],"genre_scores_gemma":[0.87033725,0.00001045739,0.12844576,0.000012395187,0.0001489742,0.00018141953,0.000031833544,0.00007455331,0.00075734046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991466,0.000009001542,0.0003174179,0.00016423439,0.00007378054,0.00028896023],"domain_scores_gemma":[0.99950737,0.00003526521,0.00004419848,0.000256619,0.000074261196,0.000082268125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011359606,0.00016530756,0.00022100436,0.00007384385,0.00006838913,0.000022332164,0.00013029871,0.00008201838,0.00005066953],"category_scores_gemma":[0.000020170422,0.00016130005,0.00005542425,0.00010493618,0.000023614743,0.00029257592,0.000018140063,0.000060459635,0.000051098144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004492368,0.00011310099,0.00032075532,0.0029087232,0.00014168497,0.000005822482,0.002377691,0.88304675,0.00881318,0.09514546,0.0032239612,0.0038579577],"study_design_scores_gemma":[0.0005366495,0.000059007452,0.000046014156,0.00014730632,0.000025739955,0.000017952641,0.0009349289,0.97655356,0.018581226,0.0011658702,0.0014346876,0.00049704465],"about_ca_topic_score_codex":0.00005850424,"about_ca_topic_score_gemma":0.000028889957,"teacher_disagreement_score":0.8671294,"about_ca_system_score_codex":0.00008524374,"about_ca_system_score_gemma":0.000007522211,"threshold_uncertainty_score":0.6577625},"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":"W2069246625","doi":"10.1109/twc.2014.2336661","title":"On Stochastic Feedback Control for Multi-Antenna Beamforming: Formulation and Low-Complexity Algorithms","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Markov decision process; Computer science; Reinforcement learning; Beamforming; Dynamic programming; Algorithm; Markov process; Mathematical optimization; Mathematics; Machine learning; Telecommunications","score_opus":0.03729080830760443,"score_gpt":0.274216933675509,"score_spread":0.23692612536790456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069246625","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":[0.004117599,0.000041923206,0.9937086,0.00012292594,0.00031758868,0.0010422497,0.00016803625,0.00041132866,0.00006973358],"genre_scores_gemma":[0.9457117,0.000053359046,0.053441368,0.00005497717,0.000025124746,0.00053922995,0.000049773033,0.00007052328,0.000053979755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895185,0.0000632175,0.00039340716,0.00022293506,0.00010995123,0.00025863686],"domain_scores_gemma":[0.99811566,0.00060703565,0.00008788337,0.0009511347,0.00013543056,0.00010287108],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001743667,0.00024139664,0.00027618272,0.00019220052,0.0005483557,0.000045144447,0.00030459746,0.00012395302,0.0000051914913],"category_scores_gemma":[0.00001971094,0.0002641425,0.000088326815,0.00018530336,0.000105058665,0.00027112273,0.0000025826469,0.00027260836,0.000016772365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034879173,0.00016954487,0.0000016896428,0.00007088199,0.000047735368,3.4839015e-8,0.00027940032,0.97217524,0.0027787425,0.004057177,0.000010012249,0.02037465],"study_design_scores_gemma":[0.001871938,0.00008970014,0.000045527155,0.00011781747,0.000049947867,0.0000029022374,0.000060453207,0.99607027,0.00087338843,0.00051369483,0.00004617764,0.00025817327],"about_ca_topic_score_codex":0.000017875598,"about_ca_topic_score_gemma":0.0001610489,"teacher_disagreement_score":0.94159406,"about_ca_system_score_codex":0.00013409529,"about_ca_system_score_gemma":0.0000128679585,"threshold_uncertainty_score":0.9999811},"labels":[],"label_agreement":null},{"id":"W2069853319","doi":"10.1080/15501320601062130","title":"Architecture of Wireless Sensor Networks with Mobile Sinks: Multiple Access Case","year":2007,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Wireless sensor network; Computer network; Key distribution in wireless sensor networks; Energy consumption; Wireless; Scheduling (production processes); Link layer; Sink (geography); Node (physics); Cross-layer optimization; Distributed computing; Transmission (telecommunications); Wireless network; Mathematical optimization; Telecommunications","score_opus":0.007014415668826158,"score_gpt":0.24560685841054805,"score_spread":0.2385924427417219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069853319","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":[0.21812412,0.00035414204,0.7800527,0.000020391813,0.0010084877,0.00019941218,0.00011218624,0.00006383223,0.00006471682],"genre_scores_gemma":[0.98916703,0.00012017328,0.009475387,0.000023490873,0.0009983362,0.0000044774897,0.00013670171,0.0000631428,0.000011258955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980131,0.00005001799,0.00097497855,0.00017265757,0.0004246071,0.0003646565],"domain_scores_gemma":[0.997504,0.00043037793,0.00063470704,0.00020294268,0.0010487704,0.00017920138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031928185,0.00027998394,0.00042818123,0.0002387175,0.00005092206,0.00007780929,0.00043744588,0.00020667902,0.000022535645],"category_scores_gemma":[0.000060996117,0.00024207732,0.00014757068,0.00038501195,0.000082187995,0.00032276963,0.000052207783,0.00062200753,7.5383326e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039694205,0.00006441009,0.0032613636,0.000021003627,0.00040120963,0.0024563589,0.00009321727,0.98706305,0.00043724108,0.000008909691,0.00023936614,0.005556936],"study_design_scores_gemma":[0.0023201671,0.00017511474,0.0008488536,0.00045779732,0.0000913082,0.0116462335,0.00052186864,0.98017406,0.0025374752,0.000010892287,0.000812061,0.00040415255],"about_ca_topic_score_codex":0.000019791005,"about_ca_topic_score_gemma":0.00009043122,"teacher_disagreement_score":0.77104294,"about_ca_system_score_codex":0.00022368233,"about_ca_system_score_gemma":0.000025585494,"threshold_uncertainty_score":0.98716265},"labels":[],"label_agreement":null},{"id":"W2070268862","doi":"10.1109/glocom.2011.6134133","title":"Downlink Scheduling with Transmission Strategy Selection for Two-Cell MIMO Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; MIMO; Scheduling (production processes); Spatial multiplexing; Telecommunications link; Multiplexing; Computer network; Cellular network; Multi-user MIMO; Distributed computing; Mathematical optimization; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.013973858294546539,"score_gpt":0.2128732513737927,"score_spread":0.19889939307924617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070268862","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":[0.0034283372,0.00016810096,0.9847738,0.0000022209178,0.00009376144,0.00041700597,7.6849204e-7,0.000517771,0.010598218],"genre_scores_gemma":[0.7218724,0.00001855201,0.27766228,0.0000059314675,0.000078751465,0.000042844258,0.000012701649,0.000044375043,0.0002621507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993754,0.000008696399,0.00018053991,0.00016169742,0.000048846505,0.00022482955],"domain_scores_gemma":[0.99973136,0.000017227821,0.000029700388,0.00009081212,0.000065539985,0.00006536533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006794289,0.00014426213,0.00012330514,0.00005225915,0.00006215474,0.000016122483,0.000054973163,0.000086195374,0.00006344699],"category_scores_gemma":[0.0000013508122,0.00012090114,0.000029946306,0.00016219004,0.000008009702,0.00022703933,0.0000024216743,0.00010123625,0.0000047836415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003673885,0.000014329081,0.00006651767,0.00005690112,0.000012141824,2.8689968e-7,0.00009409314,0.99001503,0.0040226895,0.00023430698,0.000031140746,0.00541585],"study_design_scores_gemma":[0.0007511074,0.00011054437,0.000010353274,0.000034906476,0.000018014762,0.0000050825915,0.00007231414,0.9709465,0.027665948,0.00006113079,0.00014333458,0.00018077157],"about_ca_topic_score_codex":0.000023009941,"about_ca_topic_score_gemma":0.000037545185,"teacher_disagreement_score":0.71844405,"about_ca_system_score_codex":0.000038994836,"about_ca_system_score_gemma":0.000011688213,"threshold_uncertainty_score":0.49302053},"labels":[],"label_agreement":null},{"id":"W2071754954","doi":"10.1016/j.jfranklin.2011.10.010","title":"Joint power control and beamforming codebook design for MISO channels under the outage criterion","year":2011,"lang":"en","type":"article","venue":"Journal of the Franklin Institute","topic":"Advanced MIMO Systems Optimization","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 Toronto","funders":"","keywords":"Codebook; Beamforming; Power control; Computer science; Power (physics); Transmitter power output; Channel state information; Rayleigh fading; Control theory (sociology); Channel (broadcasting); WSDMA; Wireless; Electronic engineering; Mathematical optimization; Precoding; Telecommunications; Algorithm; Control (management); MIMO; Mathematics; Fading; Engineering; Artificial intelligence","score_opus":0.03663351161167785,"score_gpt":0.23011440621658066,"score_spread":0.1934808946049028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071754954","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":[0.006685864,0.0007642722,0.9888424,0.00016569547,0.0026930885,0.0006007872,0.000005059508,0.0000238059,0.00021902352],"genre_scores_gemma":[0.975173,0.00005865408,0.024168607,0.00020497541,0.0002196298,0.000017192797,2.6085752e-7,0.00002951974,0.00012813558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922264,0.000035297366,0.00040525163,0.00006747606,0.000110226465,0.0001591235],"domain_scores_gemma":[0.9994197,0.000061561426,0.00019891502,0.00016220495,0.000109466724,0.000048153786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050932454,0.00012966843,0.0002142612,0.000058011952,0.00015412665,0.000035819885,0.00019376978,0.00006717097,0.0000067240207],"category_scores_gemma":[0.00006725414,0.00007384611,0.00010724401,0.000051821386,0.000067727065,0.00038915817,0.000019714264,0.0001787137,0.0000015470916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111026886,0.00001774103,0.000018445404,0.00005853442,0.00016657215,0.0000044857375,0.00265152,0.9863894,0.008529275,0.00080808933,0.0005897597,0.00065512717],"study_design_scores_gemma":[0.0119302785,0.0008248553,0.0009333303,0.001822334,0.0007666348,0.0013943939,0.002296478,0.8761991,0.04376235,0.0189004,0.039953724,0.0012161145],"about_ca_topic_score_codex":0.0000034954069,"about_ca_topic_score_gemma":0.0000030923704,"teacher_disagreement_score":0.96848714,"about_ca_system_score_codex":0.000056039247,"about_ca_system_score_gemma":0.000024566247,"threshold_uncertainty_score":0.3011357},"labels":[],"label_agreement":null},{"id":"W2071856229","doi":"10.1109/ispacs.2011.6146064","title":"Interference mitigation in femtocell CDMA networks through time reuse partitioning","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brampton Civic Hospital; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Macrocell; Backhaul (telecommunications); Computer network; Computer science; Telecommunications link; Frequency reuse; Interference (communication); Cellular network; Reuse; Base station; Engineering","score_opus":0.01867289885268576,"score_gpt":0.20424564985375357,"score_spread":0.18557275100106782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071856229","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":[0.020506945,0.00008608767,0.9211861,0.000007720524,0.00017088643,0.0001752822,7.4193497e-7,0.00038742775,0.057478797],"genre_scores_gemma":[0.9610064,0.00003325345,0.03844023,0.000022595103,0.000041325493,0.00003441209,0.000016616104,0.00002548178,0.0003796563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939823,0.00001861583,0.00023889505,0.000129401,0.000039842504,0.00017499669],"domain_scores_gemma":[0.9996619,0.000020225185,0.000029441506,0.00023471516,0.000026643076,0.000027067075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006673019,0.00010149855,0.000106611966,0.000042723106,0.000021346792,0.00001460326,0.00011764936,0.00007267765,0.00033234584],"category_scores_gemma":[0.000025021718,0.00010840621,0.000017271266,0.00018263324,0.000014895615,0.00046247206,0.000028127737,0.00010165016,0.0001540408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006792366,0.000016020695,0.002027135,0.000022559148,0.000007898114,0.000004066208,0.00178721,0.9926678,0.000983096,0.0011120137,0.0008684153,0.0004970048],"study_design_scores_gemma":[0.00022262665,0.000021921715,0.00074088684,0.00011972889,0.000003992041,0.0000033626516,0.00010489933,0.9897721,0.0071340124,0.001593267,0.00008802854,0.00019518104],"about_ca_topic_score_codex":0.00003887298,"about_ca_topic_score_gemma":0.00004928299,"teacher_disagreement_score":0.9404995,"about_ca_system_score_codex":0.00006377825,"about_ca_system_score_gemma":0.000003830854,"threshold_uncertainty_score":0.4420677},"labels":[],"label_agreement":null},{"id":"W2072171490","doi":"10.1109/infcom.2010.5462172","title":"Cooperative Resource Management in Cognitive WiMAX with Femto Cells","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"WiMAX; Computer science; Cognitive radio; Femtocell; Computer network; Wireless; Resource management (computing); Channel (broadcasting); Femto-; Base station; Telecommunications","score_opus":0.005565651272997824,"score_gpt":0.21024254615208732,"score_spread":0.2046768948790895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072171490","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":[0.047900196,0.000019690622,0.57774013,0.000018207265,0.00012493663,0.000711806,0.000005110449,0.0003044335,0.37317547],"genre_scores_gemma":[0.9759608,0.000006778968,0.020746859,0.00004082028,0.000022732775,0.00006273944,0.000009825659,0.000030740455,0.0031187406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995335,0.000008818318,0.00011271313,0.00013639206,0.00006329294,0.0001452828],"domain_scores_gemma":[0.99978745,0.000026463918,0.000012783731,0.000106584055,0.000032266813,0.00003448006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005062729,0.00010598677,0.00009539409,0.000075049364,0.000020314903,0.000017426828,0.000051552244,0.000037964004,0.00009841013],"category_scores_gemma":[0.0000035811233,0.00008999486,0.000007661775,0.00019651017,0.00002185073,0.000119925724,0.000015344107,0.00014173197,0.000050632818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045759734,0.000041743922,0.00029596157,0.000060572143,0.00006749698,0.000057340738,0.0011448854,0.9820839,0.008123003,0.002244743,0.00096092286,0.004873632],"study_design_scores_gemma":[0.011181815,0.00041739148,0.0023967144,0.0007362857,0.000121269695,0.00005419164,0.022013893,0.5873972,0.3372434,0.00018261687,0.035470646,0.0027845667],"about_ca_topic_score_codex":0.0000080273685,"about_ca_topic_score_gemma":0.00027935772,"teacher_disagreement_score":0.9280606,"about_ca_system_score_codex":0.000026231788,"about_ca_system_score_gemma":0.000003189597,"threshold_uncertainty_score":0.36698836},"labels":[],"label_agreement":null},{"id":"W2073050812","doi":"10.1109/twc.2014.2350496","title":"Equivalent Capacity in Carrier Aggregation-Based LTE-A Systems: A Probabilistic Analysis","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; LTE Advanced; Quality of service; Bandwidth (computing); Computer network; Cognitive radio; Probabilistic logic; Channel (broadcasting); Adaptability; Telecommunications link; Wireless; Telecommunications","score_opus":0.03162339637902764,"score_gpt":0.24832484024527116,"score_spread":0.21670144386624351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073050812","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":[0.016891832,0.00011661459,0.9807265,0.00010620492,0.00025982948,0.0004997171,0.00014901279,0.00043630647,0.0008139989],"genre_scores_gemma":[0.99397266,0.00009508269,0.0050315736,0.00002225787,0.000013417789,0.00068163406,0.000057266472,0.00005128166,0.00007480217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983321,0.00034110167,0.00059534964,0.00026806063,0.00019713595,0.0002662574],"domain_scores_gemma":[0.9970548,0.00053465576,0.000096051444,0.0020141648,0.00019589464,0.00010440487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027511775,0.00023436538,0.00038224566,0.0005871823,0.00023991552,0.000057180052,0.00047308026,0.0001424019,0.000020890988],"category_scores_gemma":[0.000025217823,0.0002736557,0.00015244087,0.0017818529,0.00011290154,0.00018795897,0.000002733355,0.00038948184,0.000029501361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044558637,0.00013854483,0.00013689967,0.0000944167,0.00012644992,3.1042313e-7,0.0002301358,0.9962647,0.000379358,0.0010464159,0.0000067241162,0.001571607],"study_design_scores_gemma":[0.00040779496,0.00001758049,0.00011160965,0.00012325494,0.00021525874,0.0000016146064,0.00008195434,0.99690634,0.001549173,0.00008020032,0.00024324656,0.00026197074],"about_ca_topic_score_codex":0.00022806089,"about_ca_topic_score_gemma":0.0034286375,"teacher_disagreement_score":0.9770809,"about_ca_system_score_codex":0.0004824886,"about_ca_system_score_gemma":0.000054533793,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W2073079952","doi":"10.1109/vetecf.2011.6093134","title":"Game-Based Zero-Forcing Precoding for Multicell Multiuser Transmissions","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Telecommunications link; Uniqueness; Base station; Computer science; Context (archaeology); Nash equilibrium; Game theory; Transmission (telecommunications); Mathematical optimization; Transmitter power output; Interference (communication); Transmitter; Mathematics; Telecommunications; MIMO; Beamforming; Mathematical economics; Channel (broadcasting)","score_opus":0.040424556772939116,"score_gpt":0.23095243914772126,"score_spread":0.19052788237478213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073079952","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":[0.0029830576,0.00005402478,0.9870035,0.0000041521776,0.0002509408,0.00057231355,0.0000066527723,0.0006842297,0.008441099],"genre_scores_gemma":[0.66749686,0.0000055733167,0.33176908,0.000015215949,0.000021232157,0.00008370563,0.000009355282,0.000050268416,0.00054867845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993099,0.000008537931,0.0002341048,0.0001556154,0.00004887182,0.00024297985],"domain_scores_gemma":[0.9995878,0.00008081435,0.000025935089,0.00017360959,0.0000464922,0.000085383035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077814344,0.00014174996,0.00013558105,0.00007988837,0.000052380943,0.000011264437,0.00008875989,0.00007786028,0.000115334886],"category_scores_gemma":[0.000024212388,0.00013400427,0.00006666901,0.000086941924,0.000009525357,0.00018960726,0.000004470316,0.000063656975,0.000020138532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017218987,0.000025918303,0.00016762348,0.00027167937,0.000016133525,6.4704886e-7,0.0009116823,0.98220885,0.0129888095,0.00026284222,0.00010978474,0.0030188262],"study_design_scores_gemma":[0.0007622499,0.000017702112,0.00002472813,0.000074753225,0.000017003129,4.1215452e-7,0.000058971567,0.9042741,0.09342701,0.000072938616,0.001085409,0.00018470007],"about_ca_topic_score_codex":0.000012752825,"about_ca_topic_score_gemma":0.000013347423,"teacher_disagreement_score":0.6645138,"about_ca_system_score_codex":0.000045179408,"about_ca_system_score_gemma":0.000008691785,"threshold_uncertainty_score":0.54645354},"labels":[],"label_agreement":null},{"id":"W2073345302","doi":"10.1109/icc.2010.5501881","title":"Structure of Channel Quantization Codebook for Multiuser Spatial Multiplexing Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Quantization (signal processing); Vector quantization; Computer science; Algorithm; Channel state information; Linde–Buzo–Gray algorithm; Beamforming; Channel (broadcasting); Precoding; Mathematics; Mathematical optimization; Topology (electrical circuits); MIMO; Telecommunications; Wireless; Combinatorics","score_opus":0.00903731668943918,"score_gpt":0.2228125702904113,"score_spread":0.2137752536009721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073345302","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":[0.020242874,0.000029776356,0.9769435,0.0000030351835,0.001510366,0.0007430516,0.00007636179,0.00025748843,0.00019355663],"genre_scores_gemma":[0.96710414,0.0000022362308,0.032445595,0.0000030096012,0.00019175242,0.000028562597,0.000079126556,0.000050772436,0.000094805204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993455,0.0000073208894,0.0002974152,0.00012536747,0.000076285556,0.00014812678],"domain_scores_gemma":[0.99951476,0.000056286957,0.00007194073,0.00017553935,0.00014503696,0.000036419202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005032878,0.00012427164,0.00017873083,0.000080522026,0.000035790403,0.000015760806,0.00007878423,0.00013510352,0.000015365864],"category_scores_gemma":[0.000063755884,0.00011803287,0.000033196677,0.0000674379,0.000014993031,0.00015137887,0.0000091804195,0.00008298907,0.0000018565687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052268733,0.0000034027585,0.00007465645,0.00017440598,0.000011135482,6.026729e-8,0.00013038421,0.6777086,0.32003167,0.0015886894,0.000034622095,0.00023709124],"study_design_scores_gemma":[0.0003446848,0.0000114010845,0.000041054518,0.00002537137,0.0000060998336,0.0000020104496,0.00007086474,0.88108003,0.11806015,0.00006965284,0.00016801649,0.0001206493],"about_ca_topic_score_codex":0.00010409086,"about_ca_topic_score_gemma":0.0005008633,"teacher_disagreement_score":0.94686127,"about_ca_system_score_codex":0.000017954053,"about_ca_system_score_gemma":0.000007489846,"threshold_uncertainty_score":0.48132408},"labels":[],"label_agreement":null},{"id":"W2073523457","doi":"10.1109/isspit.2007.4458190","title":"Non-linear Transceiver Design for Broadcast Channels with Statistical Channel State Information","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Base station; Channel state information; Computer science; Transceiver; Channel (broadcasting); Precoding; Transmitter; MIMO; Computer network; Wireless; Telecommunications","score_opus":0.013745455682394606,"score_gpt":0.23236533905307377,"score_spread":0.21861988337067917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073523457","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":[0.0004274392,0.00000986922,0.9972251,0.000007835943,0.0001842114,0.00090849906,0.00004349888,0.0002700749,0.0009234397],"genre_scores_gemma":[0.6632612,0.000011488647,0.33612972,0.000041990334,0.000079250814,0.00007602776,0.00011730761,0.000047654317,0.00023536882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992022,0.000004543484,0.0002814525,0.00009472087,0.00010811717,0.00030894767],"domain_scores_gemma":[0.9995824,0.00008094926,0.000032866563,0.000099757315,0.0001152908,0.00008872077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021642754,0.0001509978,0.00014431115,0.0001096094,0.000047464655,0.000024453519,0.000056918456,0.00005552121,0.000017743492],"category_scores_gemma":[0.000011033248,0.0001312005,0.000018287445,0.00013641072,0.00001907775,0.00065754465,0.0000027325605,0.000064622815,0.00003642859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010949916,0.0000071407567,0.0000023111215,0.00009991227,0.000020258707,0.0000014740637,0.00091110327,0.9941358,0.00016979041,0.00013270297,0.00040271255,0.0040073046],"study_design_scores_gemma":[0.0010677656,0.00015893784,0.000028550687,0.000027461421,0.000011431701,0.0000079059155,0.00017554424,0.9858233,0.011304186,0.00010157275,0.0010673846,0.0002259965],"about_ca_topic_score_codex":0.000007186316,"about_ca_topic_score_gemma":0.000007907198,"teacher_disagreement_score":0.66283375,"about_ca_system_score_codex":0.00005969462,"about_ca_system_score_gemma":0.000013027704,"threshold_uncertainty_score":0.5350201},"labels":[],"label_agreement":null},{"id":"W2074355890","doi":"10.1109/iwqos.2014.6914332","title":"Online algorithms for energy cost minimization in cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Lyapunov optimization; Mathematical optimization; Energy consumption; Cellular network; Optimization problem; Convexity; Distributed algorithm; Online algorithm; Base station; Power control; Convex optimization; Distributed computing; Power (physics); Algorithm; Regular polygon; Computer network; Mathematics","score_opus":0.009960112116662229,"score_gpt":0.21701805346940983,"score_spread":0.2070579413527476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074355890","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":[0.00012996508,0.000112828944,0.99808615,0.000014742685,0.0003230675,0.00019178711,0.0000043263035,0.00019493105,0.0009422143],"genre_scores_gemma":[0.77164,0.00009869559,0.22570577,0.00010120789,0.0005352324,0.00014509089,0.0006830386,0.00009172049,0.0009992266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945635,0.000013053934,0.00020876132,0.0001173291,0.000038146343,0.00016635528],"domain_scores_gemma":[0.9997316,0.00005590374,0.000022700804,0.0001208039,0.000035137153,0.000033855784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006243761,0.00009556077,0.00012254695,0.00006995333,0.000016587079,0.000010764407,0.00005621488,0.000083138824,0.000012738967],"category_scores_gemma":[0.00002218123,0.0001006087,0.00002085265,0.00014855809,0.000005613711,0.00010017553,0.0000073947213,0.00003624846,0.0000014736994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014988475,0.000012519723,0.00003020791,0.000011947188,0.0000030400254,1.6091491e-7,0.0000123692025,0.9792729,0.0001457926,0.0010868845,0.00038236342,0.019040287],"study_design_scores_gemma":[0.00041630986,0.000012959869,0.000013243032,0.000014554741,0.0000028461513,4.37717e-7,0.000015495083,0.98526156,0.0010955352,0.00009135486,0.0129585145,0.00011719214],"about_ca_topic_score_codex":0.000015763866,"about_ca_topic_score_gemma":0.00015056269,"teacher_disagreement_score":0.77238035,"about_ca_system_score_codex":0.000051406492,"about_ca_system_score_gemma":0.0000028487596,"threshold_uncertainty_score":0.41027036},"labels":[],"label_agreement":null},{"id":"W2074522271","doi":"10.1109/vtcfall.2014.6966145","title":"Quality-Driven Adaptive Video Streaming for Cognitive VANETs","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Video streaming; Scalability; Video quality; Coding (social sciences); Scalable Video Coding; Real-time computing; Channel (broadcasting); Wireless ad hoc network; Quality (philosophy); Computer network; Wireless; Telecommunications","score_opus":0.02102139223606187,"score_gpt":0.27031644925270504,"score_spread":0.24929505701664317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074522271","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":[0.0033306433,0.000029736899,0.97511715,0.000007635546,0.00016514135,0.00038854787,0.000021620013,0.0003915484,0.020547971],"genre_scores_gemma":[0.9407385,0.0000041152716,0.05854483,0.000031869393,0.000111822694,0.00008004371,0.000037281665,0.00003871293,0.00041284304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993749,0.000026951331,0.00019999234,0.00015269649,0.00006305802,0.00018234618],"domain_scores_gemma":[0.99932086,0.0003938826,0.00003703216,0.00010247541,0.00009662228,0.000049114522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011115061,0.00011963321,0.00016459185,0.00004780392,0.000044113458,0.000013922628,0.000053188593,0.00005825629,0.000020978196],"category_scores_gemma":[0.00013784583,0.00012146157,0.000038475755,0.000066090826,0.00001371521,0.00017018233,0.000011372781,0.00005062805,0.000033267224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029704308,0.000016619213,0.00024597425,0.00011467823,0.000080498314,4.4560048e-7,0.0005724165,0.94605327,0.0025965564,0.014559077,0.00056110916,0.035169676],"study_design_scores_gemma":[0.0008675181,0.00008104659,0.0002776207,0.00007951239,0.000016994285,0.000001573769,0.0006754649,0.99053866,0.005102839,0.0007637407,0.0013031212,0.00029190106],"about_ca_topic_score_codex":0.0000134073025,"about_ca_topic_score_gemma":0.00006557565,"teacher_disagreement_score":0.93740785,"about_ca_system_score_codex":0.00004464975,"about_ca_system_score_gemma":0.0000049187993,"threshold_uncertainty_score":0.4953059},"labels":[],"label_agreement":null},{"id":"W2074983139","doi":"10.1145/1143549.1143679","title":"Solar-powered OFDM wireless mesh networks with sleep management and connection admission control","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Admission control; Computer science; Queueing theory; Computer network; Node (physics); Wireless mesh network; Quality of service; Network packet; Mesh networking; Power management; Connection (principal bundle); Sleep (system call); Wireless; Power (physics); Wireless network; Engineering; Telecommunications","score_opus":0.002588690700593833,"score_gpt":0.17193712489506904,"score_spread":0.1693484341944752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074983139","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":[0.006792633,0.00017869566,0.9826268,0.000017295173,0.00015399122,0.00040891982,0.0000011546816,0.00043379932,0.009386703],"genre_scores_gemma":[0.99327254,0.000056325283,0.005733022,0.000021150181,0.000074292184,0.00003565076,0.000017920072,0.000037248185,0.00075184164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993871,0.0000143343905,0.00017191251,0.00016596096,0.00007963652,0.0001810715],"domain_scores_gemma":[0.9997314,0.000018695431,0.0000344021,0.00013193222,0.00003149877,0.00005203521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058265945,0.00014141502,0.00014857369,0.000056395478,0.00005957824,0.00003288566,0.00003583219,0.00006624788,0.000029335633],"category_scores_gemma":[0.0000012608659,0.00012003647,0.000014440351,0.00011512872,0.000012736933,0.00016827714,0.0000096847725,0.00006544659,0.0000033926683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036186924,0.000011658931,0.0008427413,0.000051284766,0.00004122201,0.000006474448,0.000011480268,0.99208236,0.00035743671,0.0023233013,0.00056846265,0.0036674086],"study_design_scores_gemma":[0.0014673269,0.000037356753,0.00093684363,0.000050974162,0.00003068178,0.000011524665,0.000066949266,0.99616253,0.00048411987,0.000050088183,0.0005137674,0.0001878561],"about_ca_topic_score_codex":0.00002299594,"about_ca_topic_score_gemma":0.00005743841,"teacher_disagreement_score":0.98647994,"about_ca_system_score_codex":0.00005159121,"about_ca_system_score_gemma":0.0000016358681,"threshold_uncertainty_score":0.48949453},"labels":[],"label_agreement":null},{"id":"W2075202074","doi":"10.1109/glocom.2011.6134081","title":"A Limited-Feedback Scheduling and Beamforming Scheme for Multi-User Multi-Antenna Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Telecommunications link; Base station; Computer science; Scheduling (production processes); Precoding; Fading; Channel (broadcasting); Topology (electrical circuits); Electronic engineering; Mathematics; Computer network; MIMO; Telecommunications; Mathematical optimization; Engineering; Combinatorics","score_opus":0.05352883206273987,"score_gpt":0.2524566444164179,"score_spread":0.19892781235367804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075202074","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":[0.012955647,0.0008895542,0.98371506,0.0000026194339,0.0005195842,0.0008462855,0.000010484959,0.0006643783,0.00039637837],"genre_scores_gemma":[0.295136,0.00005180072,0.7037382,0.000010687634,0.00006248125,0.00014412586,0.0000095602345,0.00008357274,0.00076357176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989264,0.000009579578,0.00038733566,0.0002559878,0.00006705554,0.00035362432],"domain_scores_gemma":[0.9994429,0.00003868016,0.00006237003,0.00022561057,0.00011812221,0.000112359485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015284226,0.00023153066,0.00026329188,0.00012768843,0.00008773467,0.000044374963,0.00010612182,0.00013978209,0.000008347858],"category_scores_gemma":[0.000072075076,0.00022182525,0.00004963722,0.00013494426,0.000023709845,0.00047903782,0.000036726407,0.000104858394,0.000020256526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013965474,0.0003832519,0.012826946,0.005574068,0.00078090956,0.000019069977,0.00941072,0.71831757,0.22592044,0.021841742,0.0002185951,0.0045670266],"study_design_scores_gemma":[0.0009004933,0.000023302702,0.00008138145,0.00015839667,0.000017590708,0.000012198194,0.0010955054,0.9942086,0.0028525481,0.000005542536,0.00034630633,0.00029816406],"about_ca_topic_score_codex":0.000046125886,"about_ca_topic_score_gemma":0.000027116806,"teacher_disagreement_score":0.28218037,"about_ca_system_score_codex":0.00005729135,"about_ca_system_score_gemma":0.000007753051,"threshold_uncertainty_score":0.90457714},"labels":[],"label_agreement":null},{"id":"W2075584011","doi":"10.1109/tsp.2014.2388437","title":"Incremental Grassmannian Feedback Schemes for Multi-User MIMO Systems","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Codebook; Vector quantization; Grassmannian; Quantization (signal processing); MIMO; Algorithm; Fading; Mathematics; Robustness (evolution); Computer science; Multiple description coding; Channel state information; Decoding methods; Theoretical computer science; Channel (broadcasting); Wireless; Telecommunications","score_opus":0.046534629454315975,"score_gpt":0.27814158554220797,"score_spread":0.231606956087892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075584011","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":[0.0030674597,0.00050707505,0.99431014,0.000011879638,0.0006304464,0.00061733444,0.00003464667,0.0005998231,0.00022121808],"genre_scores_gemma":[0.9615732,0.000007896303,0.037346043,0.000018414368,0.0001203943,0.0002575178,0.000008676798,0.000099799436,0.00056804647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883664,0.000023474162,0.00036226356,0.0002587715,0.00020154478,0.00031729738],"domain_scores_gemma":[0.99941295,0.000029017629,0.00006859579,0.00013949796,0.0001905211,0.00015943412],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017337581,0.0002478354,0.00023509453,0.00017232102,0.00019394493,0.0001221311,0.00012855802,0.000126793,0.0000073488372],"category_scores_gemma":[0.0000035182443,0.00026034412,0.00007064123,0.00025960206,0.000033828117,0.00062316307,7.442204e-7,0.0001813127,0.0000345762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042669544,0.00006716806,0.000011608832,0.00033572767,0.00004286366,0.0000014816836,0.00035189223,0.97654986,0.008193876,0.000012803457,0.00019377611,0.014196283],"study_design_scores_gemma":[0.0016077162,0.00008217991,0.0000021112442,0.00028528442,0.000047395617,0.000016310883,0.0010058676,0.9423864,0.051361937,0.000010577896,0.0028170855,0.00037716748],"about_ca_topic_score_codex":0.000013778266,"about_ca_topic_score_gemma":0.00001660543,"teacher_disagreement_score":0.95850575,"about_ca_system_score_codex":0.00026546317,"about_ca_system_score_gemma":0.000055172757,"threshold_uncertainty_score":0.99998486},"labels":[],"label_agreement":null},{"id":"W2076020410","doi":"10.1109/lcomm.2013.070113.131039","title":"Optimal Tx-BF for MIMO SC-FDE Systems","year":2013,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Beamforming; Computer science; Single antenna interference cancellation; SC-FDE; Transmitter power output; Bit error rate; Equalization (audio); Algorithm; Interference (communication); Minimum mean square error; Control theory (sociology); Mathematics; Mathematical optimization; Telecommunications; Channel (broadcasting); Decoding methods; Transmitter; Statistics","score_opus":0.021945446751604876,"score_gpt":0.24623596401993975,"score_spread":0.22429051726833488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076020410","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":[0.011777066,0.0010934628,0.9815396,0.0016968502,0.0007115723,0.0012884649,0.000032719472,0.0005971369,0.0012631371],"genre_scores_gemma":[0.8387647,0.00012255265,0.15864187,0.00023701559,0.00013741438,0.001726998,0.00010834041,0.00008520474,0.00017590185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991204,0.00005066304,0.00034884334,0.00014428524,0.00006915552,0.0002666602],"domain_scores_gemma":[0.9979648,0.00020788379,0.00006979527,0.0015777642,0.00011004338,0.00006972968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110164154,0.00016444878,0.00018274979,0.00011675217,0.00018503607,0.00009987295,0.0007606586,0.00007245048,0.000010401752],"category_scores_gemma":[0.000028220447,0.00018498243,0.00006465774,0.00018088905,0.00007148624,0.0004002877,0.00004885905,0.00015212917,0.0001770119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010004392,0.000015079361,0.000063666506,0.000063990556,0.000045254947,9.554272e-8,0.0002070478,0.92228556,0.048254807,0.0008207679,0.02760874,0.00063400134],"study_design_scores_gemma":[0.00043437068,0.000013642188,0.000046063105,0.00009077868,0.000025898038,0.000006525489,0.00015797924,0.9565748,0.0014320483,0.000039633094,0.040817324,0.0003609189],"about_ca_topic_score_codex":0.000085768064,"about_ca_topic_score_gemma":0.000008055758,"teacher_disagreement_score":0.8269876,"about_ca_system_score_codex":0.00014016316,"about_ca_system_score_gemma":0.000008915747,"threshold_uncertainty_score":0.7543365},"labels":[],"label_agreement":null},{"id":"W2076988592","doi":"10.1109/ita.2014.6804240","title":"Hybrid compression and message-sharing strategy for the downlink cloud radio-access network","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Radio access network; Telecommunications link; Base station; Cloud computing; Precoding; Relay; Access network; Channel (broadcasting); MIMO","score_opus":0.020717190767617178,"score_gpt":0.2593772246573976,"score_spread":0.2386600338897804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076988592","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":[0.0019485125,0.00076008856,0.9920722,0.000037731057,0.00044600698,0.0004075682,0.0000032114135,0.00028239103,0.004042271],"genre_scores_gemma":[0.9926776,0.000104499144,0.0061251894,0.000039825678,0.00064927666,0.000061319995,0.000019820685,0.000040162395,0.00028225573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993743,0.000014870376,0.00018451699,0.0001615908,0.000054771783,0.00020999432],"domain_scores_gemma":[0.99946296,0.00019942896,0.000036101774,0.00023195455,0.000023656627,0.000045894234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020386805,0.00012483855,0.0001465492,0.00001777651,0.00014743062,0.0001108158,0.00019029455,0.000038423303,0.000019241797],"category_scores_gemma":[0.000015635902,0.00008759973,0.0000249646,0.00005636493,0.00001810677,0.00022539217,0.000058906484,0.000083138984,0.0000021573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052725068,0.0000016423207,0.00010919916,0.000055502827,0.000014819814,1.6160523e-7,0.000013183232,0.9854574,0.00011896659,0.0024123865,0.0038162307,0.007995223],"study_design_scores_gemma":[0.00031854425,0.0000126198975,0.00013512341,0.000044423086,0.000013069433,0.000004752447,0.000016308866,0.98777556,0.000705781,0.0013154241,0.009529202,0.00012916328],"about_ca_topic_score_codex":0.000008151783,"about_ca_topic_score_gemma":0.000007879257,"teacher_disagreement_score":0.99072915,"about_ca_system_score_codex":0.000018148316,"about_ca_system_score_gemma":0.0000025526363,"threshold_uncertainty_score":0.35722134},"labels":[],"label_agreement":null},{"id":"W2077032704","doi":"10.1109/icassp.2014.6853718","title":"Near-optimal spectrum allocation in multi-tier cellular networks with random inelastic traffic","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Frequency allocation; Throughput; Base station; Telecommunications link; Cellular network; Session (web analytics); Resource allocation; Mathematical optimization; Computer network; Wireless; Mathematics; Telecommunications","score_opus":0.005188829074877626,"score_gpt":0.18283042143138892,"score_spread":0.17764159235651128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077032704","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":[0.07099882,0.00009459647,0.92756855,0.000012152015,0.00021167452,0.0003104573,2.7625333e-7,0.00032013684,0.0004833414],"genre_scores_gemma":[0.9526036,0.0000100502775,0.046975758,0.000011140569,0.0000983173,0.000037584912,0.000021043365,0.000054569584,0.00018797128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919397,0.000034197907,0.00024808248,0.00018234031,0.000080845275,0.00026054386],"domain_scores_gemma":[0.9996373,0.000056768236,0.000032079563,0.00018463668,0.00003307622,0.000056131506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013931657,0.00016903396,0.0002050137,0.00007516884,0.00003374823,0.000034586486,0.000075315605,0.0000877006,0.000032282136],"category_scores_gemma":[0.000030600397,0.00014892757,0.000021857273,0.00025600058,0.000024758809,0.00017827508,0.000008347297,0.00014689026,0.00002839742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032221695,0.000016856542,0.00022345575,0.000020479727,0.000009720966,0.0000014296717,0.0001008648,0.99884576,0.00015687401,0.000049083876,0.00003530767,0.0005079713],"study_design_scores_gemma":[0.0025203761,0.00003942242,0.00025234316,0.000037701586,0.00000927661,0.0000023259438,0.000032878754,0.99635893,0.0003494683,0.0000018851141,0.00019950134,0.00019591388],"about_ca_topic_score_codex":0.000012930382,"about_ca_topic_score_gemma":0.00017998872,"teacher_disagreement_score":0.88160473,"about_ca_system_score_codex":0.00007403912,"about_ca_system_score_gemma":0.000009084437,"threshold_uncertainty_score":0.60730904},"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":"W2077696687","doi":"10.1109/wcnc.2014.6952684","title":"Planning for small cells in a cellular network: Why it is worth it","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Macro; Computer science; Installation; Base station; Cellular network; Computer network; Base (topology); Macro level; Perspective (graphical); Distributed computing; Artificial intelligence; Operating system; Mathematics","score_opus":0.01820038316680005,"score_gpt":0.21759070574933193,"score_spread":0.19939032258253186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077696687","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":[0.0013589025,0.00011343688,0.9849975,0.000096699776,0.00032016804,0.0003306065,0.0000023579425,0.00018491519,0.012595393],"genre_scores_gemma":[0.76899844,0.000025563913,0.2233965,0.0018210498,0.0006301788,0.00015496006,0.000042454052,0.00014923583,0.0047816285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991966,0.000012656673,0.00025474967,0.00016616295,0.00004886862,0.00032098603],"domain_scores_gemma":[0.99963045,0.00008614142,0.0000312669,0.00018085254,0.000023348734,0.00004792192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017879077,0.00013435475,0.00017530836,0.000060664774,0.000029031047,0.000022821274,0.00009581511,0.00008569534,0.00005027292],"category_scores_gemma":[0.000012553948,0.00014168565,0.00003665531,0.0001471091,0.0000054178076,0.00009244297,0.000016717371,0.000080614045,0.000025080884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036975096,0.000003608467,0.00025864443,0.00006594112,0.000006786304,8.9906973e-7,0.00029645377,0.9679127,0.0009307002,0.00012501162,0.030013463,0.00038213664],"study_design_scores_gemma":[0.00035749533,0.000016663182,0.000007715737,0.00009286756,0.0000053423482,5.0814947e-7,0.00007801762,0.89774984,0.0045473045,0.00015089684,0.09680449,0.0001888502],"about_ca_topic_score_codex":0.000013323255,"about_ca_topic_score_gemma":0.00010171962,"teacher_disagreement_score":0.7676395,"about_ca_system_score_codex":0.00004196948,"about_ca_system_score_gemma":0.000004229773,"threshold_uncertainty_score":0.5777773},"labels":[],"label_agreement":null},{"id":"W2078600198","doi":"10.1109/twc.2014.2365537","title":"Uplink Interference Analysis for Two-Tier Cellular Networks With Diverse Users Under Random Spatial Patterns","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Bell Canada Enterprises","keywords":"Computer science; Base station; Stochastic geometry; Telecommunications link; Interference (communication); Cellular network; Heterogeneous network; Tier 2 network; Computer network; Wireless network; Wireless; Telecommunications; Channel (broadcasting); Mathematics; Statistics","score_opus":0.018174128316464547,"score_gpt":0.23871071091483173,"score_spread":0.22053658259836717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078600198","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":[0.007466957,0.00003993233,0.99111336,0.000076604534,0.0002459877,0.00055113336,0.0000610792,0.00033970719,0.000105262654],"genre_scores_gemma":[0.9866131,0.00014562138,0.01246201,0.000036140522,0.00003472149,0.00043869548,0.00012528697,0.0000669047,0.00007753669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892056,0.00011336187,0.000355054,0.00024573447,0.00010458445,0.00026072832],"domain_scores_gemma":[0.99782354,0.00039011543,0.0000805072,0.0014643722,0.00014335595,0.000098085344],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001460426,0.00024685956,0.00035110067,0.0002806116,0.00038898786,0.00005789746,0.00054294855,0.00010677449,0.00003237929],"category_scores_gemma":[0.0000024687781,0.00024675555,0.00017771152,0.000500693,0.00009512578,0.00020846794,0.0000050048075,0.00032839677,0.000008683925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005537711,0.000067949055,0.00016185279,0.00001761611,0.00048483143,1.17345664e-7,0.00022375432,0.9929105,0.00031068703,0.000128575,0.0000051217567,0.0056336424],"study_design_scores_gemma":[0.0016339334,0.000054847464,0.00006633519,0.00006129744,0.00055477733,9.572352e-7,0.00015736336,0.99518764,0.0019331173,0.000013703163,0.000052128686,0.00028390865],"about_ca_topic_score_codex":0.00024445294,"about_ca_topic_score_gemma":0.004561088,"teacher_disagreement_score":0.9791461,"about_ca_system_score_codex":0.00012687745,"about_ca_system_score_gemma":0.000014126026,"threshold_uncertainty_score":0.99999845},"labels":[],"label_agreement":null},{"id":"W2079624325","doi":"10.1109/tcomm.2015.2389833","title":"Analyzing the Impact of Inter Cooperation Region Interference in Coordinated Multi-Point Uplink Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Ergodic theory; Base station; Coverage probability; Interference (communication); Computer science; Cellular network; Topology (electrical circuits); Parametric statistics; Stochastic geometry; Point (geometry); Mathematical optimization; Lattice (music); Mathematics; Telecommunications; Statistics; Physics; Mathematical analysis; Combinatorics","score_opus":0.05572548228033818,"score_gpt":0.3052779985076034,"score_spread":0.2495525162272652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079624325","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":[0.0006495874,0.00026170447,0.9980058,0.00014303744,0.00016223709,0.00034924978,0.0000062753807,0.00013278113,0.00028929132],"genre_scores_gemma":[0.9962416,0.00036481948,0.00316785,0.0000052399123,0.000007933619,0.000105877894,0.000017716366,0.000028341734,0.00006061414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915504,0.00015382451,0.00042546733,0.00010014952,0.000021586968,0.00014392073],"domain_scores_gemma":[0.99848455,0.00015727119,0.000078995334,0.0010189316,0.00020668587,0.00005358339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002227919,0.00014464438,0.00017896993,0.00020551177,0.00009913809,0.000027196858,0.00044258713,0.00008838282,0.0000074863624],"category_scores_gemma":[0.000019419751,0.000118794596,0.0000789207,0.00068834954,0.00008834269,0.00028216443,0.0000053961676,0.00042244527,0.00000778923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016143966,0.00009005295,0.000110094734,0.000004254641,0.00003795444,1.7234018e-7,0.00093708024,0.99461883,0.000335167,0.00003013056,0.00010002901,0.0037201068],"study_design_scores_gemma":[0.0004427121,0.000056604687,0.000030765466,0.000113617614,0.000015350633,0.0000056393674,0.00029387695,0.9982067,0.0006966039,0.000023394721,0.000003437063,0.00011132962],"about_ca_topic_score_codex":0.0002740848,"about_ca_topic_score_gemma":0.0006993539,"teacher_disagreement_score":0.995592,"about_ca_system_score_codex":0.00032542917,"about_ca_system_score_gemma":0.000035943554,"threshold_uncertainty_score":0.48443028},"labels":[],"label_agreement":null},{"id":"W2080586930","doi":"10.1109/cwit.2009.5069521","title":"On the role of the input power constraint in the beamforming optimality range in TIMO channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Constraint (computer-aided design); Beamforming; Range (aeronautics); Channel (broadcasting); Mathematical optimization; Power (physics); Upper and lower bounds; Channel state information; Gaussian; Computer science; Mathematics; Telecommunications; Engineering; Wireless; Physics; Mathematical analysis","score_opus":0.007395282927067418,"score_gpt":0.21003756329648338,"score_spread":0.20264228036941595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080586930","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":[0.71450645,0.00034025556,0.074488565,0.0017872631,0.00034525988,0.002195951,0.0000116580595,0.00015575069,0.20616888],"genre_scores_gemma":[0.99917144,0.000005125642,0.0005360617,0.00021385151,0.00001387371,0.000018280452,7.894921e-7,0.000008314655,0.000032241696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933285,0.00006041975,0.0002426215,0.00008725941,0.00011610771,0.00016072256],"domain_scores_gemma":[0.9995143,0.00013364977,0.000037863138,0.0002875585,0.000015836204,0.0000108387585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044645448,0.00010048009,0.00011903447,0.00004432461,0.00002875245,0.0000125562365,0.00022989302,0.000051027342,0.000050405513],"category_scores_gemma":[0.00005484025,0.000049168266,0.00003752583,0.00025756352,0.000033328215,0.00008701512,0.000014609572,0.00017991058,0.0000040764994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006045548,0.00002871405,0.00029303445,0.000005985209,0.000003965674,7.5556153e-7,0.0027862836,0.9712641,0.0008860122,0.023454448,0.00003165052,0.001238952],"study_design_scores_gemma":[0.0018640378,0.00018858034,0.015913947,0.00056988146,0.000015805377,0.000031267755,0.014238598,0.91898984,0.023622228,0.022652622,0.0012230764,0.00069014746],"about_ca_topic_score_codex":0.000028197532,"about_ca_topic_score_gemma":0.000035550387,"teacher_disagreement_score":0.28466505,"about_ca_system_score_codex":0.000054424836,"about_ca_system_score_gemma":0.000008098605,"threshold_uncertainty_score":0.20050237},"labels":[],"label_agreement":null},{"id":"W2080699736","doi":"10.1109/glocom.2006.794","title":"WLC31-2: Capacity of MIMO Rician Fading Channels with Transmitter and Receiver Channel State Information","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Rician fading; MIMO; Transmitter; Channel state information; Fading; Channel (broadcasting); Channel capacity; Computer science; Ergodic theory; Topology (electrical circuits); Precoding; Mathematics; Telecommunications; Electronic engineering; Control theory (sociology); Wireless; Engineering; Mathematical analysis","score_opus":0.005304989565263642,"score_gpt":0.16771552703550066,"score_spread":0.162410537470237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080699736","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":[0.33944455,0.00008462965,0.65692925,0.000026703092,0.00015165185,0.00023895616,0.00003884603,0.00013830436,0.0029471442],"genre_scores_gemma":[0.99636745,0.00002162259,0.0034585032,0.000019583398,0.000033928492,0.000011312004,0.000025462456,0.000015539139,0.00004659694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994359,0.000010105922,0.00022960664,0.00007778999,0.00008200164,0.00016459436],"domain_scores_gemma":[0.9997451,0.000011469757,0.00006277659,0.00009684132,0.000053114836,0.000030725667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005877332,0.0001206987,0.00015269645,0.00009515822,0.000034217122,0.00002051838,0.000044602693,0.000046855188,0.000006079436],"category_scores_gemma":[0.000002778672,0.000113697024,0.000016781318,0.00015073185,0.000025117695,0.00065721176,0.000005812713,0.00006368909,0.000006414324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012093572,0.000007005676,0.000573013,0.00018665844,0.000018525352,8.344368e-7,0.0017879346,0.9943284,0.00055513554,0.00008257956,0.00024859016,0.002199245],"study_design_scores_gemma":[0.00400658,0.00023059071,0.019008689,0.00063034333,0.00008162613,0.00007022926,0.0007416976,0.9189901,0.043633137,0.002495987,0.008738018,0.0013729992],"about_ca_topic_score_codex":0.00023771187,"about_ca_topic_score_gemma":0.00009977346,"teacher_disagreement_score":0.65692294,"about_ca_system_score_codex":0.00004486886,"about_ca_system_score_gemma":0.0000039454458,"threshold_uncertainty_score":0.46364298},"labels":[],"label_agreement":null},{"id":"W2080920551","doi":"10.1109/tcomm.2011.093011.100693","title":"Cognitive Base Stations in LTE/3GPP Femtocells: A Correlated Equilibrium Game-Theoretic Approach","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macrocell; Femtocell; Base station; Telecommunications link; Cognitive radio; Computer science; Resource allocation; Node (physics); Game theory; Potential game; Frequency allocation; Computer network; Interference (communication); Mathematical optimization; Resource management (computing); LTE Advanced; Nash equilibrium; Wireless; Engineering; Telecommunications; Mathematics; Mathematical economics","score_opus":0.046166163700319104,"score_gpt":0.2544726297428994,"score_spread":0.2083064660425803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080920551","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":[0.003933079,0.00023939017,0.96573234,0.000031428382,0.00022610079,0.0008691539,0.00015039941,0.0006166758,0.02820146],"genre_scores_gemma":[0.97410476,0.0003896523,0.02425489,0.000028602986,0.000007769883,0.0007537469,0.00009342237,0.00008984486,0.00027730674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985702,0.00020419108,0.0005288432,0.00025860337,0.00012662789,0.00031152662],"domain_scores_gemma":[0.9981379,0.0003456128,0.000077189245,0.0011817031,0.00014293013,0.00011469736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017652636,0.0002553099,0.00024129283,0.00045576144,0.00015736105,0.000028419965,0.0004910031,0.00015606708,0.0001633271],"category_scores_gemma":[0.000018803,0.00030364675,0.000089234854,0.0009821182,0.00021617052,0.0003928869,0.000005474622,0.0006312043,0.00017205185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006553894,0.0012020875,0.000049240916,0.00009083985,0.00013246207,0.000003515945,0.010355316,0.98116285,0.001281588,0.00186453,0.000061950304,0.0037300834],"study_design_scores_gemma":[0.0012752333,0.00007988307,0.0001362058,0.00019429394,0.00011780806,0.00001897313,0.002487541,0.9895277,0.0048085935,0.0007999374,0.000068026806,0.0004858237],"about_ca_topic_score_codex":0.00007518439,"about_ca_topic_score_gemma":0.00015831483,"teacher_disagreement_score":0.9701717,"about_ca_system_score_codex":0.00018404283,"about_ca_system_score_gemma":0.000049580427,"threshold_uncertainty_score":0.9999416},"labels":[],"label_agreement":null},{"id":"W2081406574","doi":"10.1109/isit.2013.6620532","title":"Degrees of freedom of MIMO cellular networks with two cells and two users per cell","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Bottleneck; MIMO; Redundancy (engineering); Base station; Cellular network; Degrees of freedom (physics and chemistry); Computer science; Scheduling (production processes); Piecewise; Boundary (topology); Topology (electrical circuits); Mathematics; Control theory (sociology); Mathematical optimization; Computer network; Combinatorics; Mathematical analysis; Physics; Artificial intelligence","score_opus":0.0046726567577805,"score_gpt":0.17553692426184378,"score_spread":0.17086426750406328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081406574","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":[0.22311705,0.00049573206,0.77141136,0.000002568325,0.00009803235,0.00030316634,0.0000027149804,0.00007850734,0.004490848],"genre_scores_gemma":[0.8896024,0.00004215726,0.10988493,0.0000023981936,0.00003145809,0.000010096151,0.000003876559,0.000037183912,0.0003854676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936914,0.0000134435595,0.00024101572,0.00012720669,0.00008319912,0.00016597917],"domain_scores_gemma":[0.9995331,0.00004083124,0.000067598165,0.00021457789,0.00008564632,0.00005823137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045806206,0.00014129854,0.00022169408,0.000056958685,0.000014341956,0.000010685427,0.00007803185,0.00004785355,0.00012237082],"category_scores_gemma":[0.0000015759824,0.00011595502,0.000023825234,0.000102554164,0.000055432753,0.00019039381,0.000020623314,0.00006812924,0.000007733712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030636047,0.000009458818,0.0014598486,0.0000847499,0.000017045704,4.1781826e-7,0.00011925624,0.92629045,0.07165254,0.000057090318,0.00021455539,0.00009151703],"study_design_scores_gemma":[0.00071836927,0.000044970322,0.00014807278,0.00004257995,0.000021076778,0.0000012517628,0.00023284392,0.9302991,0.06827949,0.000005576141,0.00004663705,0.00016005685],"about_ca_topic_score_codex":0.00045658546,"about_ca_topic_score_gemma":0.000100468635,"teacher_disagreement_score":0.66648537,"about_ca_system_score_codex":0.000013743679,"about_ca_system_score_gemma":0.000005053127,"threshold_uncertainty_score":0.47285086},"labels":[],"label_agreement":null},{"id":"W2081921760","doi":"10.1109/iswcs.2010.5624377","title":"Multi-user MIMO precoding with Kerdock codebook","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Codebook; Computer science; MIMO; Zero-forcing precoding; Base station; Channel state information; Channel (broadcasting); Electronic engineering; Computer engineering; Computer network; Algorithm; Wireless; Telecommunications; Engineering","score_opus":0.00805547045033165,"score_gpt":0.2124786303806419,"score_spread":0.20442315993031027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081921760","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":[0.015844338,0.000020607986,0.96043485,0.000011217933,0.0003531159,0.0002457369,0.0000019257768,0.00079956895,0.022288617],"genre_scores_gemma":[0.6540814,0.000004102899,0.33523512,0.000018825313,0.000065759465,0.00003102925,0.0000046641835,0.000054655608,0.0105044255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995442,0.000004052057,0.00011831718,0.00011884895,0.00005434352,0.00016023619],"domain_scores_gemma":[0.9996741,0.000018777628,0.000017016398,0.00019845497,0.000037090947,0.000054601984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039000366,0.00011009034,0.00009665613,0.00004186718,0.000033217522,0.000022854154,0.00007373702,0.000058949336,0.00015605618],"category_scores_gemma":[0.000010495618,0.00009048143,0.000014552526,0.000069346286,0.000013533065,0.00020176274,0.000010871095,0.00013986518,0.00009940707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010927413,0.000029703144,0.0048451493,0.00010685235,0.00005461669,0.0000073703536,0.00043123803,0.814816,0.17338237,0.0017262045,0.0021139057,0.0024756603],"study_design_scores_gemma":[0.0012965967,0.000033976856,0.0006596169,0.00005926641,0.000017628021,0.000042484055,0.00012574019,0.89278346,0.066674165,0.000021767535,0.037690464,0.00059481483],"about_ca_topic_score_codex":0.000008639047,"about_ca_topic_score_gemma":0.0003409372,"teacher_disagreement_score":0.63823706,"about_ca_system_score_codex":0.0000184262,"about_ca_system_score_gemma":0.000006279035,"threshold_uncertainty_score":0.36897254},"labels":[],"label_agreement":null},{"id":"W2081975130","doi":"10.1109/jcn.2013.000068","title":"Low complexity zero-forcing beamforming for distributed massive MIMO systems in large public venues","year":2013,"lang":"en","type":"article","venue":"Journal of Communications and Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Precoding; MIMO; Computer science; Beamforming; Algorithm; Computational complexity theory; Diagonal; Matrix decomposition; Matrix (chemical analysis); Control theory (sociology); Telecommunications; Topology (electrical circuits); Mathematics; Physics","score_opus":0.027305122728470056,"score_gpt":0.2539606991249963,"score_spread":0.22665557639652625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081975130","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":[0.01188618,0.0076213623,0.9797122,0.0001808269,0.0001828491,0.00031160537,0.000020510717,0.000022677472,0.000061804116],"genre_scores_gemma":[0.9842468,0.0014483738,0.014105652,0.000008283958,0.000071905095,0.000044765933,0.000052801206,0.000016996224,0.000004452025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992156,0.000046192756,0.00045809944,0.000045474095,0.000051986164,0.00018262712],"domain_scores_gemma":[0.99904346,0.00018397694,0.00022645501,0.0002824529,0.00020118117,0.000062464314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030330295,0.00008444178,0.0002175208,0.00009781972,0.00013477424,0.00008609587,0.00024417927,0.00006737511,0.0000016950562],"category_scores_gemma":[0.000039275143,0.00008147944,0.00003854186,0.00016527192,0.00003412714,0.0004724334,0.000053334134,0.00022864922,4.6881232e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005407719,0.000046902733,0.0015068823,0.00010500462,0.000041206018,5.320461e-7,0.00026507012,0.98921764,0.00014972233,0.0030554978,0.0007971167,0.0048090024],"study_design_scores_gemma":[0.0004822559,0.000025867519,0.0006131203,0.0002929944,0.000009724497,0.000014669297,0.00034260936,0.99465305,0.000007286741,0.0005177258,0.0029542523,0.000086447195],"about_ca_topic_score_codex":0.000010274712,"about_ca_topic_score_gemma":0.000031639906,"teacher_disagreement_score":0.9723606,"about_ca_system_score_codex":0.000090953894,"about_ca_system_score_gemma":0.000011686209,"threshold_uncertainty_score":0.3322635},"labels":[],"label_agreement":null},{"id":"W2082085686","doi":"10.1109/tsp.2013.2284753","title":"Joint User Grouping and Transceiver Design in a MIMO Interfering Broadcast Channel","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; MIMO; Precoding; Beamforming; Base station; Transceiver; Channel (broadcasting); Throughput; Multi-user MIMO; Decoding methods; Convergence (economics); Interference (communication); Minimum mean square error; Computer network; Algorithm; Mathematical optimization; Wireless; Telecommunications; Mathematics","score_opus":0.023014125086880752,"score_gpt":0.21698572287515266,"score_spread":0.19397159778827192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082085686","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":[0.01642755,0.00033702684,0.9822163,0.00002378272,0.00011922582,0.0004416954,0.0000018981317,0.00027684213,0.00015568148],"genre_scores_gemma":[0.99006176,0.00004740813,0.00954847,0.00002849133,0.000030977088,0.00015693705,6.5565183e-7,0.0000700717,0.00005521754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989296,0.000036900958,0.0003499834,0.00026418042,0.000109239045,0.00031008542],"domain_scores_gemma":[0.9996957,0.00004138487,0.00003748768,0.00009227712,0.00004822675,0.00008490584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011764621,0.00023432741,0.00023017838,0.00031304726,0.000119972545,0.00011158589,0.000070984504,0.0001045175,0.000050287188],"category_scores_gemma":[0.0000014082458,0.0002507621,0.000040705447,0.0003030222,0.000036835023,0.0009935459,6.67335e-7,0.00030707836,0.00002095272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013162241,0.000025018411,0.000002339414,0.00018969108,0.000012428492,0.0000033102244,0.0016357037,0.8817443,0.04859541,7.911976e-7,0.000005132871,0.06777268],"study_design_scores_gemma":[0.0005775064,0.0000550325,0.000043854656,0.0007414853,0.000015350488,0.000028932185,0.00045901627,0.9339669,0.06370682,0.000070778035,0.000010456108,0.0003239135],"about_ca_topic_score_codex":0.000028337907,"about_ca_topic_score_gemma":0.000013523558,"teacher_disagreement_score":0.97363424,"about_ca_system_score_codex":0.00012151369,"about_ca_system_score_gemma":0.000014183496,"threshold_uncertainty_score":0.99999446},"labels":[],"label_agreement":null},{"id":"W2082113467","doi":"10.1109/icuwb.2015.7324505","title":"Reduced Complexity Iterative Beamforming for a Set of Virtual MIMO Devices","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Beamforming; Computer science; Channel state information; Overhead (engineering); MIMO; Antenna (radio); Set (abstract data type); Electronic engineering; Iterative method; Computer engineering; Wireless; Telecommunications; Algorithm; Engineering","score_opus":0.06638625231749014,"score_gpt":0.2951010661222858,"score_spread":0.2287148138047957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082113467","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":[0.041410238,0.00004407141,0.9539563,0.0000163839,0.00018694077,0.00032492325,0.000039196948,0.00015692187,0.0038650106],"genre_scores_gemma":[0.8454036,8.1306024e-7,0.15424989,0.000009839745,0.000060426777,0.000029816785,0.000044650325,0.000017954975,0.0001830169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995097,0.000009102422,0.00021347945,0.00008736216,0.0000636109,0.00011672536],"domain_scores_gemma":[0.99962485,0.00004533268,0.000044167242,0.00010214645,0.00013143699,0.00005208679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010006688,0.00008890387,0.00016028013,0.00004807684,0.000020218871,0.000009620396,0.00006438059,0.000037726102,0.000008241793],"category_scores_gemma":[0.00004840251,0.000083265855,0.000027054468,0.00009203931,0.000020424492,0.0002540266,0.00001357705,0.000030877083,0.000004012058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003496711,0.0000119231945,0.000057462454,0.00014343511,0.00005567033,3.1984274e-7,0.0043055415,0.9661471,0.017445752,0.0086384695,0.0014929901,0.0016663367],"study_design_scores_gemma":[0.00088846014,0.00014727701,0.000020852176,0.00006543713,0.000013688621,0.000004410501,0.0029313997,0.9255161,0.06707059,0.00082195597,0.0022964044,0.00022337619],"about_ca_topic_score_codex":0.000013306259,"about_ca_topic_score_gemma":0.000047638598,"teacher_disagreement_score":0.80399334,"about_ca_system_score_codex":0.000052412586,"about_ca_system_score_gemma":0.000014723049,"threshold_uncertainty_score":0.33954832},"labels":[],"label_agreement":null},{"id":"W2082598544","doi":"10.1109/mcom.2009.4785378","title":"LTE Part I: Core network","year":2009,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Computer science; Computer network; Key (lock); Network packet; Core (optical fiber); Feature (linguistics); Architecture; Core network; Computer architecture; Telecommunications; Distributed computing; Computer security","score_opus":0.03494728401343446,"score_gpt":0.2731458204218501,"score_spread":0.23819853640841565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082598544","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":[0.0026832419,0.008635266,0.7264861,0.0018809804,0.0022805217,0.0009751111,0.000034939556,0.0033404003,0.25368345],"genre_scores_gemma":[0.90957177,0.002158959,0.085431606,0.00025952092,0.0004653733,0.00006225615,0.00015816547,0.0000520214,0.0018403009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931026,0.00002817901,0.00027905343,0.00010204573,0.000066839966,0.00021359783],"domain_scores_gemma":[0.9980752,0.00006121255,0.00004790703,0.0016820942,0.00007343494,0.000060153005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000109144334,0.00012912878,0.00014924834,0.000050302453,0.00013487483,0.000023163167,0.00054476724,0.000060867696,0.00003077966],"category_scores_gemma":[0.00001995609,0.00014534885,0.000037349364,0.00038011567,0.00003960705,0.00017233282,0.0000326198,0.00018132645,0.00037519954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024291614,0.000033960187,0.0000927338,0.000008739047,0.000013466199,8.9531693e-7,0.000074865005,0.89444786,0.0015988656,0.0034160356,0.09308352,0.0072266157],"study_design_scores_gemma":[0.0004015858,0.000044021475,0.000952708,0.000111347515,0.000027406726,0.000017408858,0.000014796541,0.48765486,0.00017942638,0.003137816,0.50706875,0.00038984398],"about_ca_topic_score_codex":8.247667e-7,"about_ca_topic_score_gemma":0.000024820194,"teacher_disagreement_score":0.90688854,"about_ca_system_score_codex":0.00006325169,"about_ca_system_score_gemma":0.000008934182,"threshold_uncertainty_score":0.5927154},"labels":[],"label_agreement":null},{"id":"W2083406101","doi":"10.1109/tvt.2014.2353646","title":"Cellular OFDMA Cognitive Radio Networks: Generalized Spectral Footprint Minimization","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Orthogonal frequency-division multiple access; Mathematical optimization; Cognitive radio; Computer science; Telecommunications link; Resource allocation; Geometric programming; Transmitter power output; Computational complexity theory; Base station; Optimization problem; Frequency-division multiple access; Algorithm; Orthogonal frequency-division multiplexing; Transmitter; Mathematics; Computer network; Wireless; Telecommunications","score_opus":0.005828317480759045,"score_gpt":0.19725537768265727,"score_spread":0.19142706020189823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083406101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067557,0.00030675236,0.9289174,0.00011091285,0.0007954361,0.00044619356,0.000008661009,0.0016827505,0.00017488546],"genre_scores_gemma":[0.9897724,0.0002747023,0.009346499,0.000029261682,0.000100059675,0.00025693577,0.000016716107,0.000097271324,0.00010619612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869496,0.0000644608,0.00036273745,0.00036228815,0.00012520279,0.0003903611],"domain_scores_gemma":[0.999356,0.000049248494,0.000068329486,0.00035688933,0.00009775937,0.00007179425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009198395,0.0002924182,0.00033608044,0.00047701344,0.00014229464,0.000022331675,0.00017527562,0.0004488566,0.000053961023],"category_scores_gemma":[0.0000107418355,0.00032698383,0.000115464056,0.00068585924,0.00009735933,0.00008984468,0.0000015752536,0.00042301667,0.00003844264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016065494,0.000048269103,0.00001654981,0.00002249479,0.00009951396,0.000005957958,0.000031233558,0.9655367,0.016416445,0.00048970256,0.000017924483,0.017299155],"study_design_scores_gemma":[0.0008806828,0.000087017535,0.00001032904,0.00006731861,0.000078958714,0.000019678006,0.000037653517,0.7302947,0.26752266,0.00020552322,0.00049301167,0.00030244005],"about_ca_topic_score_codex":0.0000072494745,"about_ca_topic_score_gemma":0.000020366453,"teacher_disagreement_score":0.92221534,"about_ca_system_score_codex":0.00013516203,"about_ca_system_score_gemma":0.000010531766,"threshold_uncertainty_score":0.9999182},"labels":[],"label_agreement":null},{"id":"W2083848627","doi":"10.1109/wcnc.2013.6555174","title":"A clustering scheme based on timing requirements in coordinated base-stations cooperative communications","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cluster analysis; Scheme (mathematics); Computer science; Synchronization (alternating current); Base station; Distributed computing; Point (geometry); Real-time computing; Base (topology); Computer network; Artificial intelligence; Mathematics","score_opus":0.04478122932147936,"score_gpt":0.28517842119238884,"score_spread":0.24039719187090947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083848627","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":[0.0031374309,0.000024506126,0.97053146,0.0002705691,0.00007797193,0.0007412611,0.000009495123,0.0003909486,0.024816379],"genre_scores_gemma":[0.8691905,0.00000734651,0.1299655,0.000113727845,0.000006929667,0.00031263477,0.00010031415,0.00003437295,0.0002686451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992451,0.0000491764,0.00030187672,0.00013953583,0.00007113909,0.00019318379],"domain_scores_gemma":[0.9992187,0.000112879854,0.000032702173,0.00047186128,0.000112998154,0.000050881346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009104465,0.0001352784,0.00013238774,0.00019783512,0.00009189867,0.000044929762,0.00017706233,0.000050936,0.00024951017],"category_scores_gemma":[0.000070186594,0.00014358448,0.00001810783,0.00041903587,0.00002507156,0.00040886892,0.000039192964,0.00013710854,0.00019478201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017641187,0.000031780248,0.00029286262,0.000019406158,0.0000073179062,4.9570554e-7,0.0001679278,0.99225897,0.0061736815,0.00017978715,0.00037844156,0.00048756486],"study_design_scores_gemma":[0.00050770736,0.000018126675,0.00018326748,0.0001132236,0.0000022786512,3.5762494e-7,0.0002718954,0.9976921,0.0009640076,0.0000105981335,0.00008547879,0.00015097276],"about_ca_topic_score_codex":0.000099682875,"about_ca_topic_score_gemma":0.00023134153,"teacher_disagreement_score":0.8660531,"about_ca_system_score_codex":0.00021876919,"about_ca_system_score_gemma":0.000015967256,"threshold_uncertainty_score":0.5855205},"labels":[],"label_agreement":null},{"id":"W2083930122","doi":"10.1109/vetecf.2011.6093164","title":"Multi-User MIMO Precoder Design via Genetic Search","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Codebook; Precoding; MIMO; Computer science; Transmitter; Grassmannian; Algorithm; Computational complexity theory; Theoretical computer science; Computer engineering; Decoding methods; Mathematical optimization; Mathematics; Computer network; Telecommunications; Beamforming","score_opus":0.04975525985631618,"score_gpt":0.2410899502375783,"score_spread":0.1913346903812621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083930122","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":[0.001153345,0.00014316561,0.99328744,0.0000014305442,0.00016475302,0.00031881395,7.1790856e-7,0.00044503406,0.0044853156],"genre_scores_gemma":[0.26602316,0.000019992875,0.73012984,0.000009498286,0.00002611806,0.000032422366,0.0000012944557,0.00004826417,0.003709376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994025,0.00002718178,0.00015701486,0.00013653733,0.0000630691,0.0002136678],"domain_scores_gemma":[0.9996506,0.000018303783,0.000009872739,0.00021458442,0.00004279939,0.00006381256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006852838,0.000109831184,0.00009377663,0.000059628543,0.000024799481,0.000009049311,0.00010218635,0.00006634465,0.00062809075],"category_scores_gemma":[0.0000065631175,0.00010488689,0.00002150175,0.000099973724,0.000012098567,0.00012973385,0.00001702259,0.00006801433,0.00040210187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004614861,0.000023367016,0.0007649522,0.00003733989,0.000025451727,0.0000038513567,0.0007354738,0.98335814,0.01152834,0.000029041446,0.00045564445,0.0030337966],"study_design_scores_gemma":[0.00028708015,0.000022196798,0.0015324767,0.000010320656,0.0000068161107,0.000008284241,0.000041441126,0.9458532,0.05168501,0.000029980538,0.000324971,0.00019825702],"about_ca_topic_score_codex":0.000032928714,"about_ca_topic_score_gemma":0.000017471391,"teacher_disagreement_score":0.2648698,"about_ca_system_score_codex":0.000037229758,"about_ca_system_score_gemma":0.0000064281367,"threshold_uncertainty_score":0.68771535},"labels":[],"label_agreement":null},{"id":"W2084099189","doi":"10.1109/jsac.2014.2328143","title":"Distributed Pricing-Based User Association for Downlink Heterogeneous Cellular Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":246,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Coordinate descent; Base station; Beamforming; Telecommunications link; Subgradient method; Transmitter power output; Benchmark (surveying); Mathematical optimization; Optimization problem; Power control; User equipment; Algorithm; Computer network; Power (physics); Transmitter; Mathematics; Telecommunications","score_opus":0.012165979632562506,"score_gpt":0.24118474523042416,"score_spread":0.22901876559786166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084099189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076296185,0.0002569252,0.9905368,0.00029554995,0.00041341083,0.00040735074,0.000031781736,0.00023016451,0.00019841081],"genre_scores_gemma":[0.9867677,0.00015802892,0.012309655,0.000080138794,0.00019434789,0.00009585117,0.00030361916,0.000058731763,0.00003194698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854815,0.00026322185,0.0005650092,0.00013002676,0.00015682248,0.00033677722],"domain_scores_gemma":[0.9974892,0.0009975628,0.00027708136,0.00067961426,0.00046149746,0.000095047406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051984616,0.00018342468,0.00025343604,0.00020584604,0.00027445884,0.000086584,0.0005002505,0.00019110588,0.0000045610495],"category_scores_gemma":[0.00047873624,0.00019665048,0.00008055208,0.0006446749,0.000016315362,0.000133555,0.000015988453,0.0006215111,0.000006391569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014219975,0.000071405964,0.001108508,0.000009925071,0.000039495346,4.791762e-7,0.000030793497,0.99630666,0.0009983827,0.00009870039,0.0007366195,0.0005848124],"study_design_scores_gemma":[0.00087930815,0.000069773785,0.0004161802,0.00012213674,0.000028928562,0.000007560524,0.0000055246355,0.988289,0.002026492,0.00014045117,0.0078056394,0.00020897796],"about_ca_topic_score_codex":0.000003656321,"about_ca_topic_score_gemma":0.00009266782,"teacher_disagreement_score":0.9791381,"about_ca_system_score_codex":0.0009225295,"about_ca_system_score_gemma":0.00004119297,"threshold_uncertainty_score":0.8019174},"labels":[],"label_agreement":null},{"id":"W2084249028","doi":"10.1109/acssc.2013.6810487","title":"Massive MIMO with clustered pilot contamination precoding","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Precoding; MIMO; Beamforming; Base station; Computer science; Transmitter power output; Spectral efficiency; Zero-forcing precoding; Cluster analysis; Electronic engineering; Computer network; Telecommunications; Channel (broadcasting); Engineering; Transmitter; Artificial intelligence","score_opus":0.009708659738783163,"score_gpt":0.19546250083855546,"score_spread":0.1857538410997723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084249028","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":[0.022946356,0.000025776626,0.9413496,0.000042602194,0.00013190648,0.00050255365,8.882591e-7,0.00044920677,0.03455111],"genre_scores_gemma":[0.97271514,0.000005494391,0.025227917,0.000018806357,0.000036284753,0.00010185732,0.000010353941,0.000029641053,0.0018545218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995713,0.000009122662,0.00012799594,0.000098668665,0.00006032333,0.00013259272],"domain_scores_gemma":[0.99972177,0.00002645308,0.000027066075,0.00011129513,0.000075776414,0.000037635826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025701678,0.00009403998,0.00008976539,0.000052770603,0.000027506909,0.00003436942,0.000047188933,0.00002812891,0.00021434922],"category_scores_gemma":[0.000009266804,0.00007831547,0.000008610528,0.00008898468,0.000008725189,0.00045269603,0.000007997043,0.000046607143,0.00014731448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009841235,0.000019686187,0.0010198591,0.00011014042,0.00004810838,0.000001786649,0.0003985339,0.9719993,0.014632781,0.0010435982,0.002266435,0.008449935],"study_design_scores_gemma":[0.0009454341,0.0001575746,0.0020241758,0.00007853228,0.0000110710325,0.000008585297,0.0004228988,0.98311424,0.012521365,0.00010453225,0.00030745412,0.00030414457],"about_ca_topic_score_codex":0.000025408523,"about_ca_topic_score_gemma":0.0000472365,"teacher_disagreement_score":0.9497688,"about_ca_system_score_codex":0.00007493043,"about_ca_system_score_gemma":0.0000037991072,"threshold_uncertainty_score":0.3193612},"labels":[],"label_agreement":null},{"id":"W2085353479","doi":"10.1109/icc.2012.6364632","title":"Algorithms for pattern selection MIMO systems over spatially correlated channels","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"MIMO; Maximization; Selection (genetic algorithm); Computer science; Radiation pattern; Channel (broadcasting); Algorithm; Spatial correlation; Selection algorithm; Antenna (radio); Channel capacity; Mathematical optimization; Mathematics; Telecommunications; Artificial intelligence","score_opus":0.013838784534910994,"score_gpt":0.23330916011734998,"score_spread":0.21947037558243898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085353479","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":[0.0034052252,0.00027695618,0.9898778,0.000004928722,0.0041272063,0.00072624855,0.000011501561,0.0006905187,0.0008795973],"genre_scores_gemma":[0.9925122,0.000011393605,0.005093959,0.000015378733,0.0007488166,0.00018255423,0.000056880337,0.00007590436,0.0013029018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991891,0.000015711392,0.00025280274,0.00012104287,0.000085551364,0.0003358182],"domain_scores_gemma":[0.999642,0.00004290961,0.000047268535,0.00010934323,0.000075569646,0.000082869316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012503116,0.00015428891,0.00016446858,0.000078938945,0.00004932576,0.000031928786,0.00005276099,0.00013130832,0.000047863985],"category_scores_gemma":[0.000012515135,0.00015208372,0.000040898016,0.00014241431,0.000005102565,0.000387443,0.000008250528,0.00007123155,0.000054359658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035822177,0.00001742949,0.0015466048,0.00012929282,0.00004810109,1.6708327e-7,0.00019412355,0.9914658,0.0016704308,0.00013776016,0.0018929632,0.0028937492],"study_design_scores_gemma":[0.00038785877,0.000026508907,0.00015361357,0.000036783833,0.000016574551,0.000010693247,0.000032866265,0.9944685,0.0020882164,0.0000053143804,0.0025680375,0.0002049946],"about_ca_topic_score_codex":0.00009634685,"about_ca_topic_score_gemma":0.000011442045,"teacher_disagreement_score":0.989107,"about_ca_system_score_codex":0.00012832023,"about_ca_system_score_gemma":0.000005283096,"threshold_uncertainty_score":0.6201795},"labels":[],"label_agreement":null},{"id":"W2085543526","doi":"10.1109/tvt.2013.2284337","title":"A Generic Interference Model for Uplink OFDMA Networks With Fractional Frequency Reuse","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Telecommunications link; Rayleigh fading; Computer science; Cellular network; Orthogonal frequency-division multiplexing; Orthogonal frequency-division multiple access; Fading; Frequency-division multiple access; Electronic engineering; Channel allocation schemes; Wireless network; Computer network; Channel (broadcasting); Wireless; Engineering; Telecommunications","score_opus":0.010612358665187109,"score_gpt":0.20632431200459125,"score_spread":0.19571195333940414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085543526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013409589,0.00017403504,0.98392713,0.00033120243,0.00027045386,0.000719312,0.000014290801,0.0011172203,0.000036740523],"genre_scores_gemma":[0.86232984,0.000119281816,0.13530514,0.000038840062,0.000026887607,0.0019748057,0.0000071812096,0.00007053461,0.00012752583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990396,0.00000849791,0.00026293594,0.00029982673,0.000075429096,0.00031373932],"domain_scores_gemma":[0.99914956,0.00003378903,0.000055194632,0.0005332221,0.00017377174,0.000054484954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034761764,0.00023177733,0.0002222859,0.00033043788,0.00012361958,0.000021580297,0.00027555478,0.0003679812,0.000048442816],"category_scores_gemma":[0.000005383766,0.00022022966,0.000064014195,0.0004412436,0.00007286475,0.00026003658,0.0000017270748,0.00041317215,0.000028142511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009485501,0.0000389007,0.000009890631,0.000023021372,0.00007647252,0.000001309766,0.00002466064,0.98397905,0.008967211,0.00015865269,0.0001003755,0.0066109705],"study_design_scores_gemma":[0.00039074407,0.0001045164,0.00000313054,0.000055512464,0.000037181177,0.000028041119,0.000025104353,0.9883956,0.009527088,0.0011568702,0.000034051136,0.00024216496],"about_ca_topic_score_codex":0.000011587585,"about_ca_topic_score_gemma":0.000030495567,"teacher_disagreement_score":0.8489202,"about_ca_system_score_codex":0.00013755872,"about_ca_system_score_gemma":0.000024206223,"threshold_uncertainty_score":0.89807045},"labels":[],"label_agreement":null},{"id":"W2085657193","doi":"10.1109/sam.2008.4606836","title":"Optimal precoder design for mimo systems using decision feedback receivers","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transmitter; MIMO; Channel state information; Precoding; Fading; Computer science; Channel (broadcasting); Convex optimization; Control theory (sociology); Transmission (telecommunications); Transmitter power output; Multi-user MIMO; Communications system; Mathematical optimization; Wireless; Algorithm; Mathematics; Telecommunications; Regular polygon","score_opus":0.0455211281156159,"score_gpt":0.25188553097710387,"score_spread":0.20636440286148797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085657193","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":[0.014949342,0.00033043127,0.9816051,0.000001891352,0.00083981,0.00087223377,0.000006205314,0.0004041562,0.0009907947],"genre_scores_gemma":[0.23347712,0.00007059156,0.7654014,0.000004564823,0.00011007075,0.000049628186,0.0000075692847,0.00007163569,0.00080737885],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910873,0.000020199814,0.00029868732,0.00020144765,0.00010850227,0.00026242106],"domain_scores_gemma":[0.99941164,0.00016684383,0.000043183132,0.00019981647,0.000105751285,0.000072743074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012872934,0.00016751945,0.00020860322,0.00009806015,0.0001218372,0.000025018919,0.0001023978,0.000113218004,0.000023876864],"category_scores_gemma":[0.000046881338,0.00016612223,0.000052173895,0.00015621963,0.00001760345,0.0003463595,0.000012085781,0.000055851982,0.000029357163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026156074,0.0000058999767,0.000028175054,0.00004273763,0.000019970948,0.000001929577,0.00011402388,0.99407214,0.0019739962,0.000022745111,0.0033554696,0.00033673382],"study_design_scores_gemma":[0.00051803974,0.000029460221,0.0000090186,0.000068225374,0.000011422757,0.000057815603,0.000106151594,0.99484444,0.0029431854,0.000010552107,0.0011907504,0.00021095507],"about_ca_topic_score_codex":0.000013361965,"about_ca_topic_score_gemma":0.0000014177381,"teacher_disagreement_score":0.21852778,"about_ca_system_score_codex":0.00018914106,"about_ca_system_score_gemma":0.00002181562,"threshold_uncertainty_score":0.6774268},"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":"W2086193437","doi":"10.1109/glocom.2008.ecp.580","title":"Rate Adaptation for Cognitive Radio Systems with Latency Constraints","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cognitive radio; Computer science; Nash equilibrium; Fading; Markov process; Mathematical optimization; Markov chain; Latency (audio); Transmission (telecommunications); Markov decision process; Block (permutation group theory); Channel (broadcasting); Constraint (computer-aided design); Computer network; Telecommunications; Mathematics; Wireless; Statistics; Machine learning","score_opus":0.020132929972570057,"score_gpt":0.20986266279703697,"score_spread":0.18972973282446692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086193437","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":[0.007861722,0.00013461235,0.98446316,0.0000037070215,0.00019023324,0.00074236904,0.000020852278,0.00035590172,0.006227431],"genre_scores_gemma":[0.9856633,0.00003260073,0.013323957,0.000006260463,0.000050242783,0.00014555301,0.000046830337,0.00003432935,0.0006969236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952054,0.00001320819,0.00015855083,0.00011415454,0.00005048862,0.00014304148],"domain_scores_gemma":[0.9996412,0.00008469036,0.00003360358,0.00006188756,0.00013864534,0.000040015257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005572343,0.00010521684,0.00013202816,0.000047268735,0.000058203237,0.0000102827735,0.000028293443,0.0000432547,0.000012412008],"category_scores_gemma":[0.00002243911,0.000090950016,0.000016684036,0.00009463923,0.000043057,0.0001975056,0.0000019070077,0.00003693892,0.000018086612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023850442,0.0000065708764,0.00013397701,0.00008213984,0.000048877773,0.000007120217,0.0005346069,0.9970899,0.00033098945,0.000877112,0.00017679764,0.00068805134],"study_design_scores_gemma":[0.0014180337,0.00008103178,0.00016906399,0.000118479846,0.000020842925,0.00010780125,0.001177762,0.995353,0.0011813175,0.000020059158,0.00012048432,0.00023212557],"about_ca_topic_score_codex":0.000008982688,"about_ca_topic_score_gemma":0.0000076165416,"teacher_disagreement_score":0.97780156,"about_ca_system_score_codex":0.000040334446,"about_ca_system_score_gemma":0.000020452288,"threshold_uncertainty_score":0.3708834},"labels":[],"label_agreement":null},{"id":"W2086530324","doi":"10.1109/icc.2013.6655640","title":"MFW: Mobile femtocells utilizing WiFi: A data offloading framework for cellular networks using mobile femtocells","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Femtocell; Computer network; Cellular network; Computer science; Backhaul (telecommunications); Cellular traffic; Mobile broadband; Base station; Small cell; Bandwidth (computing); Mobile telephony; Exploit; Wireless; Mobile radio; Computer security; Telecommunications","score_opus":0.039765158297367306,"score_gpt":0.27519200658139126,"score_spread":0.23542684828402394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086530324","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":[0.01253686,0.0023858424,0.97785646,0.000003872098,0.0011466577,0.0037283446,0.000039505005,0.00086992275,0.001432563],"genre_scores_gemma":[0.61837375,0.00012609598,0.3791091,0.00004640883,0.0006276495,0.0007298098,0.00019683676,0.00023584304,0.0005544998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745804,0.00003874271,0.0007343932,0.00070504186,0.00019627145,0.00086752843],"domain_scores_gemma":[0.9976729,0.0003596473,0.00015436622,0.0014511935,0.00014815865,0.00021374713],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032048186,0.00046697014,0.0005164977,0.00019266398,0.00021685776,0.00024149657,0.0007118944,0.000390218,0.00037907416],"category_scores_gemma":[0.00006151185,0.0004923704,0.000107684056,0.000572145,0.00004537122,0.0011783422,0.00024471345,0.0003594172,0.000121036355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004526672,0.000025158675,0.00008457303,0.00020165787,0.00005574507,0.0000016952962,0.00013808155,0.9787761,0.015460324,0.00040464994,0.0018215365,0.003025962],"study_design_scores_gemma":[0.0003106817,0.00004238542,0.0000017567777,0.00021456633,0.000048776223,0.000005516952,0.0006072394,0.9840673,0.0095316265,0.00043036116,0.0041724266,0.00056732993],"about_ca_topic_score_codex":0.00005961644,"about_ca_topic_score_gemma":0.0000041195904,"teacher_disagreement_score":0.60583687,"about_ca_system_score_codex":0.00018785166,"about_ca_system_score_gemma":0.000027879947,"threshold_uncertainty_score":0.9997528},"labels":[],"label_agreement":null},{"id":"W2086714063","doi":"10.1109/icc.2013.6655062","title":"Ergodic capacity analysis of downlink distributed antenna systems using stochastic geometry","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stochastic geometry; Antenna (radio); Computer science; Poisson point process; Topology (electrical circuits); Telecommunications link; Geometry; Distributed computing; Electronic engineering; Computer network; Mathematics; Electrical engineering; Telecommunications; Poisson distribution; Engineering","score_opus":0.015483255449680643,"score_gpt":0.21573408080468612,"score_spread":0.20025082535500546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086714063","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":[0.27068302,0.00015488901,0.72843033,0.0000018097796,0.00017398229,0.00022418897,0.00007863198,0.00018549344,0.00006765502],"genre_scores_gemma":[0.9951787,0.0000043540194,0.004619746,0.000002086614,0.000029892135,0.00001812357,0.000095824646,0.00002349141,0.000027784934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896306,0.000024185185,0.0004669045,0.00016380656,0.00014611227,0.0002359521],"domain_scores_gemma":[0.99924666,0.000065131615,0.00009924559,0.00031159722,0.00019400715,0.00008335951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009444993,0.00016078168,0.0004499387,0.0004944449,0.000034794022,0.000031350417,0.00011011349,0.00009893189,0.0001066616],"category_scores_gemma":[0.00005795746,0.00014945243,0.00009883649,0.0018198094,0.000032675078,0.0002614741,0.000020077588,0.000088092704,0.000018786246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.8999545e-7,0.000009387229,0.00069684704,0.00008047976,0.00041915991,3.078315e-7,0.000034256464,0.9820246,0.01656146,0.00012343239,0.000023187315,0.0000260776],"study_design_scores_gemma":[0.000116950716,0.0000067583196,0.001815653,0.000037435013,0.0003014877,0.0000029857063,0.00015512247,0.99717474,0.0002234055,0.000007060433,0.0000021661938,0.00015621405],"about_ca_topic_score_codex":0.0007465462,"about_ca_topic_score_gemma":0.000020627414,"teacher_disagreement_score":0.7244957,"about_ca_system_score_codex":0.00015465125,"about_ca_system_score_gemma":0.00000750468,"threshold_uncertainty_score":0.6094493},"labels":[],"label_agreement":null},{"id":"W2086715374","doi":"10.1007/s10776-006-0054-x","title":"Analysis of Traffic Distribution and Blocking Probability in Future Wireless Networks","year":2006,"lang":"en","type":"article","venue":"International Journal of Wireless Information Networks","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":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Computer science; Handover; Computer network; Queueing theory; Blocking (statistics); Quality of service; Poisson distribution; Wireless network; Cellular traffic; Wireless; Cellular network; Channel (broadcasting); Telecommunications; Statistics","score_opus":0.0031761495967508138,"score_gpt":0.20028548828671022,"score_spread":0.19710933868995942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086715374","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":[0.4828905,0.00020408415,0.5161333,0.000028050117,0.00056768453,0.00008485338,0.00001627972,0.000022036504,0.000053189826],"genre_scores_gemma":[0.99858874,0.00031826377,0.0004340687,0.000010094218,0.0003680852,0.000004678126,0.0002660939,0.000008550661,0.0000014230967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982355,0.000036479392,0.0012123805,0.000067633235,0.0002993604,0.00014862054],"domain_scores_gemma":[0.9986489,0.00007275141,0.0006198903,0.00009151126,0.00052729313,0.000039647326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041197852,0.00013894739,0.00033921536,0.00045037022,0.000025055226,0.000061567356,0.00019022416,0.0001481373,0.0000063770553],"category_scores_gemma":[0.0000149765665,0.00013780908,0.00010900264,0.0006828822,0.00003821388,0.0011582602,0.000023221022,0.00026315762,1.921654e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004281568,0.000022024378,0.0067619234,0.000019876494,0.00019715002,0.0000020481111,0.00015145398,0.96004504,0.000005994298,0.00054623664,0.000068488895,0.03213697],"study_design_scores_gemma":[0.0005230607,0.000013982662,0.0148479715,0.000104610335,0.00007393017,0.000018703908,0.00011489155,0.9839752,0.000023157249,0.000029482737,0.0001638912,0.00011115354],"about_ca_topic_score_codex":0.000011830503,"about_ca_topic_score_gemma":0.00008009168,"teacher_disagreement_score":0.51569927,"about_ca_system_score_codex":0.00024588712,"about_ca_system_score_gemma":0.000018383262,"threshold_uncertainty_score":0.5619691},"labels":[],"label_agreement":null},{"id":"W2086801507","doi":"10.1155/2010/572675","title":"Efficient Transmission Schemes for Multiuser MIMO Downlink with Linear Receivers and Partial Channel State Information","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Alberta Environment and Protected Areas","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Precoding; Telecommunications link; Channel state information; Base station; MIMO; Computer network; Transmission (telecommunications); Scheduling (production processes); Dirty paper coding; Handshaking; Transmitter; Channel (broadcasting); Wireless; Telecommunications; Mathematics; Mathematical optimization","score_opus":0.013933717083440803,"score_gpt":0.24002499220640033,"score_spread":0.22609127512295954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086801507","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":[0.2244487,0.00079333887,0.7736374,0.00026620604,0.0002733688,0.0003663438,0.000007706644,0.00009439625,0.000112556336],"genre_scores_gemma":[0.96762145,0.0035473295,0.028616501,0.000027813032,0.00011246465,0.000023322878,0.000020411326,0.000023957251,0.0000067281676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993307,0.000034317363,0.0002916616,0.00007926504,0.000085982145,0.00017810403],"domain_scores_gemma":[0.9992633,0.00014321825,0.00013119273,0.0002471388,0.000107212756,0.000107934175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026768714,0.00013636643,0.00014276149,0.000100869554,0.00048127974,0.000092730406,0.00014250586,0.00006214751,0.000001281306],"category_scores_gemma":[0.0000067608726,0.000113369046,0.000024510127,0.00012033717,0.000059429218,0.00023171627,0.00002389187,0.00043084263,7.7637145e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011072301,0.000030030933,0.00021192235,0.000055475855,0.000045269426,6.676411e-7,0.0019412829,0.7021209,0.001190142,0.00016754221,0.000033206128,0.29409286],"study_design_scores_gemma":[0.0008175041,0.000066373104,0.00006917977,0.0002255039,0.0000149839625,0.000031056625,0.000106481006,0.96291596,0.00031708894,0.000014541154,0.035273205,0.00014812796],"about_ca_topic_score_codex":0.000001641648,"about_ca_topic_score_gemma":0.00000858977,"teacher_disagreement_score":0.74502087,"about_ca_system_score_codex":0.0000215673,"about_ca_system_score_gemma":0.000012645115,"threshold_uncertainty_score":0.46230555},"labels":[],"label_agreement":null},{"id":"W2086985943","doi":"10.1109/pimrc.2011.6139989","title":"Identification of spectrum sharing opportunities for a finite field secondary network through an exact outage expression under Rayleigh fading","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Rayleigh fading; Computer science; Fading; Constraint (computer-aided design); Telecommunications; RADIUS; Expression (computer science); Rayleigh scattering; Rayleigh distribution; Topology (electrical circuits); Identification (biology); Mathematics; Computer network; Channel (broadcasting); Physics; Optics; Combinatorics; Geometry","score_opus":0.08100530600890611,"score_gpt":0.26447531269496055,"score_spread":0.18347000668605445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086985943","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":[0.016600857,0.0001096153,0.9717783,0.000011280434,0.00039252642,0.00031978398,0.000010243617,0.00026895074,0.010508496],"genre_scores_gemma":[0.97493637,0.00007892057,0.024032343,0.00003590055,0.00012803344,0.000053813284,0.000035096862,0.00004923482,0.00065027364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990675,0.0000148836,0.00043467124,0.00019593259,0.00006976782,0.00021725569],"domain_scores_gemma":[0.99939096,0.000092106406,0.00012142554,0.0003152311,0.000038116264,0.0000421784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017046454,0.00014291107,0.00018548149,0.00006223773,0.000075377146,0.000024886398,0.0001506671,0.00009759898,0.00023627799],"category_scores_gemma":[0.000019624498,0.00014601796,0.000051379324,0.00008161277,0.00001395038,0.0010832433,0.00003155203,0.00008578985,0.0000022377396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053358195,0.000037171547,0.00034290453,0.00041973116,0.000059294875,0.000002695413,0.0039903196,0.94089264,0.03568715,0.01646643,0.0004944721,0.0015538298],"study_design_scores_gemma":[0.00067668624,0.00014854569,0.00025569048,0.0003340373,0.000041670966,0.00000485656,0.0045642364,0.4340439,0.53579634,0.023179822,0.0004010001,0.000553234],"about_ca_topic_score_codex":0.000018685456,"about_ca_topic_score_gemma":0.000023044164,"teacher_disagreement_score":0.9583355,"about_ca_system_score_codex":0.000033191292,"about_ca_system_score_gemma":0.000009989253,"threshold_uncertainty_score":0.59544396},"labels":[],"label_agreement":null},{"id":"W2087421547","doi":"10.1109/tit.2008.924721","title":"On the Outage Capacity Distribution of Correlated Keyhole MIMO Channels","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Channel capacity; Spatial correlation; Topology (electrical circuits); Channel (broadcasting); Rayleigh fading; Computer science; Signal-to-noise ratio (imaging); Mathematics; Telecommunications; Fading","score_opus":0.010529962185197783,"score_gpt":0.1859805450870394,"score_spread":0.17545058290184162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087421547","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":[0.058063712,0.000006631044,0.9381651,0.000021193291,0.0008273565,0.00032422494,0.00018655689,0.00025917188,0.0021460417],"genre_scores_gemma":[0.9995387,0.000030179935,0.00010127848,0.00005462419,0.000012836958,0.000059162438,0.000050956045,0.000014005287,0.00013825527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991811,0.00005965919,0.00038924802,0.0000628624,0.00016391132,0.0001432096],"domain_scores_gemma":[0.999319,0.00019074492,0.00010239307,0.0002508646,0.000098632685,0.000038365455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021820789,0.00014261775,0.00013184434,0.00011084856,0.00021220285,0.000012418182,0.00010537736,0.0001068839,0.00009870646],"category_scores_gemma":[0.00002338327,0.00011720334,0.00007510295,0.00028218774,0.0000812698,0.00066448894,4.8892235e-7,0.0002407237,0.0002067294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004109785,0.000023705066,6.092971e-7,0.00002698823,0.000027559263,1.8604322e-7,0.0016483826,0.99042594,0.00017166938,0.006184362,0.00029693585,0.0011525515],"study_design_scores_gemma":[0.001572899,0.00024651558,0.000106159525,0.00023335076,0.00006033074,0.000055247925,0.0013291305,0.7838434,0.20677449,0.003544226,0.0016140048,0.0006202583],"about_ca_topic_score_codex":0.0000056011777,"about_ca_topic_score_gemma":8.177926e-7,"teacher_disagreement_score":0.941475,"about_ca_system_score_codex":0.000115506555,"about_ca_system_score_gemma":0.000012091785,"threshold_uncertainty_score":0.47794133},"labels":[],"label_agreement":null},{"id":"W2087464664","doi":"10.1109/lwc.2014.2387833","title":"Linear Precoding Game for MIMO MAC With Dynamic Access Point Selection","year":2015,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Potential game; Precoding; MIMO; Mathematical optimization; Computer science; Nash equilibrium; Convergence (economics); Selection (genetic algorithm); Game theory; Iterative method; Interference (communication); Function (biology); Algorithm; Mathematics; Telecommunications; Beamforming; Channel (broadcasting)","score_opus":0.036630290916954814,"score_gpt":0.2917137272046375,"score_spread":0.2550834362876827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087464664","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":[0.054568008,0.00016286066,0.9421812,0.0012603864,0.00025307736,0.000727034,0.000021675056,0.0005955114,0.00023020999],"genre_scores_gemma":[0.92242336,0.00010078777,0.076518744,0.00016030621,0.000058972575,0.00048198315,0.0001239084,0.00009039324,0.000041572315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910325,0.000059265592,0.00029428798,0.00018324755,0.00010917955,0.0002507683],"domain_scores_gemma":[0.9986597,0.000117266325,0.00010183499,0.0008691614,0.00016499538,0.00008706026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016823487,0.00018590485,0.00019654681,0.00016358636,0.0001312378,0.00007659822,0.0006800494,0.000069453985,0.0000018664771],"category_scores_gemma":[0.000016809985,0.00019574731,0.000041885836,0.00037062867,0.00006583065,0.00063301367,0.000054091666,0.00020513216,0.000011128116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020976191,0.000024705323,0.00031720998,0.00006601074,0.000054621978,3.104165e-7,0.00047389156,0.98357654,0.0117942495,0.000086163294,0.0012164376,0.0023688944],"study_design_scores_gemma":[0.00066214695,0.000028474751,0.00003748547,0.0000991584,0.00002906515,0.000015358635,0.000104791856,0.9930229,0.0036969425,0.000033894958,0.0019991687,0.0002705864],"about_ca_topic_score_codex":0.000032167634,"about_ca_topic_score_gemma":0.00029105894,"teacher_disagreement_score":0.8678553,"about_ca_system_score_codex":0.00036945072,"about_ca_system_score_gemma":0.000030090203,"threshold_uncertainty_score":0.79823434},"labels":[],"label_agreement":null},{"id":"W2087510489","doi":"10.1109/lcomm.2014.2334318","title":"Throughput Scaling of MIMO Channels With Imperfect CSIT in the Low-SNR Regime","year":2014,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Throughput; Channel (broadcasting); Transmitter; Signal-to-noise ratio (imaging); Channel state information; Computer science; Algorithm; Scaling; Topology (electrical circuits); Mathematics; Control theory (sociology); Telecommunications; Wireless; Combinatorics","score_opus":0.013959493449627552,"score_gpt":0.23357096637020663,"score_spread":0.2196114729205791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087510489","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":[0.2806164,0.00041728202,0.7126204,0.0028062754,0.00020247439,0.0005662174,0.000004774367,0.00019333528,0.002572885],"genre_scores_gemma":[0.986005,0.00007988801,0.013406023,0.0003336624,0.00004418765,0.0000778567,0.000013795662,0.00003204135,0.000007521337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992078,0.00016309445,0.00025917788,0.00010550892,0.00010061816,0.00016379387],"domain_scores_gemma":[0.9979974,0.0002881641,0.00007545577,0.0015846458,0.000035975012,0.000018333949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198384,0.00012107185,0.00016671815,0.000100159436,0.00008329622,0.000022641694,0.0007767843,0.000042634754,0.0000017141649],"category_scores_gemma":[0.000026281516,0.00009687018,0.000033655462,0.00037391947,0.00010722792,0.00017917456,0.000034288187,0.00020749614,0.000009554683],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041086987,0.000025519108,0.00027058617,0.00006011549,0.000022572725,4.704823e-7,0.0023558785,0.9688743,0.026735682,0.00046486405,0.0005241766,0.00066175306],"study_design_scores_gemma":[0.0019795448,0.000100716825,0.0013438641,0.00123383,0.00008283899,0.000053750304,0.0013365208,0.9573224,0.028285276,0.00022120224,0.0071201622,0.00091986236],"about_ca_topic_score_codex":0.00005133884,"about_ca_topic_score_gemma":0.000056075678,"teacher_disagreement_score":0.7053886,"about_ca_system_score_codex":0.00005297111,"about_ca_system_score_gemma":0.000005937888,"threshold_uncertainty_score":0.39502513},"labels":[],"label_agreement":null},{"id":"W2087511866","doi":"10.1109/wcnc.2014.6952406","title":"Opportunistic spectrum sharing in Poisson femtocell networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Macrocell; Femtocell; Computer science; Computer network; Throughput; Quality of service; Cognitive radio; Interference (communication); Spectrum management; Telecommunications; Wireless; Base station; Channel (broadcasting)","score_opus":0.010164147101839917,"score_gpt":0.20075596953410826,"score_spread":0.19059182243226835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087511866","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":[0.0027478973,0.000041977237,0.9344131,0.000021400567,0.0002570206,0.000120018034,3.3327706e-7,0.00036781613,0.06203049],"genre_scores_gemma":[0.99570495,0.000021538171,0.0031338257,0.000024539144,0.00011929238,0.000010618538,0.000011126712,0.000037876816,0.0009362129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993763,0.000007984014,0.00019755504,0.00014430918,0.00004604315,0.00022781147],"domain_scores_gemma":[0.9996955,0.000025388897,0.00001849689,0.0001976191,0.0000066268167,0.00005641531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012589955,0.00010422618,0.00012799966,0.00007461666,0.000016816575,0.0000210379,0.00009860363,0.00005998099,0.00008427958],"category_scores_gemma":[0.000012126172,0.00011109543,0.000016897315,0.000145229,0.0000058932396,0.000106544634,0.000022417635,0.00010494886,0.000037726702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011147631,0.0000036653157,0.0017413626,0.000019504962,0.0000028355366,0.0000023372693,0.000020547095,0.9921127,0.00012585853,0.0051042177,0.00009781294,0.00076802523],"study_design_scores_gemma":[0.00016815255,0.000008753296,0.0004199277,0.000027485108,0.000002545076,0.0000028834597,0.000013224924,0.99802446,0.0001563112,0.0005701659,0.00047195624,0.00013413341],"about_ca_topic_score_codex":0.000025117293,"about_ca_topic_score_gemma":0.00011129225,"teacher_disagreement_score":0.99295706,"about_ca_system_score_codex":0.0000730185,"about_ca_system_score_gemma":0.0000023521159,"threshold_uncertainty_score":0.453034},"labels":[],"label_agreement":null},{"id":"W2087716122","doi":"10.1109/mnet.2014.6963805","title":"Cloud computing meets mobile wireless communications in next generation cellular networks","year":2014,"lang":"en","type":"article","venue":"IEEE Network","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Cloud computing; Computer network; Radio access network; Cellular network; Distributed computing; Mobile cloud computing; Wireless; Mobile computing; Wireless network; C-RAN; Radio resource management; Ran; Mobile telephony; Mobile radio; Telecommunications; Mobile station; Base station","score_opus":0.02155624480041061,"score_gpt":0.236055887237589,"score_spread":0.2144996424371784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087716122","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":[0.053172156,0.002035729,0.93807966,0.000016672877,0.0047488776,0.00040265115,7.8828384e-7,0.00037174526,0.0011717469],"genre_scores_gemma":[0.9866826,0.00023502031,0.007563919,0.000046792415,0.005268672,0.000057702637,0.000059889117,0.000063210566,0.000022216482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988256,0.00014788537,0.0004087688,0.00018853236,0.00008418078,0.00034499416],"domain_scores_gemma":[0.9990288,0.00013987256,0.000075610275,0.00065395114,0.000042290983,0.00005944339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003617061,0.00017067176,0.00023152115,0.000050697097,0.00014444983,0.000054102,0.0002870602,0.00014274016,0.0000030230487],"category_scores_gemma":[0.0000068591207,0.00020470336,0.000037694153,0.0003917151,0.000031304688,0.00016948482,0.00004485223,0.00025310053,0.000019972826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001909635,0.000010550657,0.0001784483,0.000012876577,0.000008103107,5.737484e-7,0.00012944074,0.99031276,0.0016550057,0.00029932335,0.002728326,0.0046626907],"study_design_scores_gemma":[0.0002122859,0.000015941827,0.000020402433,0.00008193697,0.000006698128,0.0000016009523,0.000016656486,0.9924513,0.00034462547,0.000057620324,0.0065914607,0.0001994904],"about_ca_topic_score_codex":0.000015536587,"about_ca_topic_score_gemma":0.00019199715,"teacher_disagreement_score":0.9335104,"about_ca_system_score_codex":0.0001081251,"about_ca_system_score_gemma":0.0000062337817,"threshold_uncertainty_score":0.8347561},"labels":[],"label_agreement":null},{"id":"W2087826940","doi":"10.1109/ccece.2008.4564523","title":"Closed form capacity analysis of MIMO wireless channels","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MIMO; Multi-user MIMO; Channel capacity; Transmitter; Channel (broadcasting); Computer science; Wireless; 3G MIMO; Transmission (telecommunications); Wireless network; Computer network; Electronic engineering; Topology (electrical circuits); Telecommunications; Engineering; Electrical engineering","score_opus":0.0184160447060941,"score_gpt":0.1858531654611672,"score_spread":0.1674371207550731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087826940","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":[0.6466489,0.000067973,0.35131347,0.000048621187,0.00020140731,0.00028024247,0.000023399076,0.00027923004,0.0011367763],"genre_scores_gemma":[0.9976524,0.0001504499,0.0019672269,0.000034846067,0.000082850056,0.00003414966,0.000014461847,0.000033228207,0.00003036763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984582,0.000004555891,0.00038648272,0.0003719914,0.00018511208,0.00059362326],"domain_scores_gemma":[0.99898225,0.00003776023,0.00006882911,0.00013129502,0.00030977232,0.000470092],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000074036696,0.00033712623,0.0005953607,0.000983428,0.00009801422,0.00007177462,0.00025005333,0.00017992075,0.000023116507],"category_scores_gemma":[0.000019650472,0.00036222272,0.00008881301,0.0013052265,0.000057106216,0.0002475152,0.00002167649,0.00031725463,0.0000035068456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007412591,0.00018391144,0.022571234,0.0012208117,0.0033189675,0.00009899112,0.012576187,0.5749331,0.02289588,0.2905133,0.001015888,0.07059761],"study_design_scores_gemma":[0.0002056533,0.00010017677,0.0042221895,0.00007763332,0.0000741055,0.000015812291,0.00001611124,0.9932485,0.0014406053,0.00010408777,0.00010602352,0.00038910023],"about_ca_topic_score_codex":0.0011771607,"about_ca_topic_score_gemma":0.000596743,"teacher_disagreement_score":0.4183154,"about_ca_system_score_codex":0.00018901157,"about_ca_system_score_gemma":0.00011344564,"threshold_uncertainty_score":0.999883},"labels":[],"label_agreement":null},{"id":"W2089242380","doi":"10.1109/jsac.2014.2369611","title":"Connectivity of Cognitive Device-to-Device Communications Underlying Cellular Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Underlay; Cellular network; Computer network; Base station; Interference (communication); Spectral efficiency; Wireless; Stochastic geometry; Distributed computing; Telecommunications; Signal-to-noise ratio (imaging); Channel (broadcasting); Mathematics","score_opus":0.04957185230626924,"score_gpt":0.30811931139440424,"score_spread":0.258547459088135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089242380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078787744,0.0010906016,0.9119385,0.00041311097,0.00027020744,0.00060069957,0.000016484364,0.00022205741,0.0066605904],"genre_scores_gemma":[0.9848255,0.00080699014,0.014002188,0.00011372358,0.000056037537,0.00006992165,0.00004945647,0.00006305115,0.000013158041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783653,0.0007517899,0.00075731566,0.00015928922,0.00018067959,0.00031441596],"domain_scores_gemma":[0.9944432,0.0027517704,0.00028976655,0.0016391728,0.00071737077,0.00015872865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070119137,0.00022594823,0.0003881979,0.00043660201,0.00037528016,0.00005536071,0.0012848778,0.0001440913,0.000009194759],"category_scores_gemma":[0.00075747696,0.00025583964,0.000068624475,0.001564869,0.00010514266,0.00027164593,0.0001238981,0.0011122074,0.000018202467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002695175,0.00028953765,0.0022822535,0.000028924027,0.00012062544,9.80875e-7,0.0010499883,0.98132825,0.005569375,0.0018624318,0.00014804787,0.007292624],"study_design_scores_gemma":[0.0010969593,0.00015939811,0.006100236,0.0015072154,0.00007710606,0.000040921073,0.00053457444,0.9860361,0.0020794205,0.0005693289,0.0013212325,0.00047749802],"about_ca_topic_score_codex":0.00003214223,"about_ca_topic_score_gemma":0.00071185187,"teacher_disagreement_score":0.90603775,"about_ca_system_score_codex":0.00029856758,"about_ca_system_score_gemma":0.00006564947,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W2089654101","doi":"10.1109/istmwc.2007.4299333","title":"Fair Scheduling and Antenna Selection Algorithms for Multiuser MIMO Orthogonal Space Division Multiplexing Downlink","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; Computer science; Algorithm; MIMO; Scheduling (production processes); Precoding; Base station; Spatial multiplexing; Multi-user MIMO; Orthogonal frequency-division multiplexing; Multiplexing; Computational complexity theory; Channel (broadcasting); Mathematical optimization; Computer network; Mathematics; Telecommunications","score_opus":0.014836721113979306,"score_gpt":0.25976681587608247,"score_spread":0.24493009476210317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089654101","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":[0.052895095,0.00019680757,0.9453232,0.000020411671,0.00032226124,0.00048193958,0.0000072961607,0.0005868939,0.0001660446],"genre_scores_gemma":[0.6028565,0.000019282337,0.39681852,0.0000100195175,0.0001247967,0.000013287103,0.000020071171,0.00003946818,0.00009800291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998964,0.00000870589,0.00030263275,0.00026803976,0.000105954234,0.0003506775],"domain_scores_gemma":[0.999473,0.00015269674,0.00004911546,0.00010117576,0.00012601272,0.00009804832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033354157,0.00019254496,0.00017641837,0.00015445633,0.00014103779,0.000039135848,0.000050520135,0.00013490587,0.000007334527],"category_scores_gemma":[0.00009292875,0.00018986991,0.000045599194,0.00021252426,0.000017885504,0.00037182675,0.000023149922,0.0001307039,0.0000048775396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029934277,0.000020647632,0.0052523394,0.00014216921,0.00003620185,0.0000018350487,0.0002870071,0.8675796,0.10528551,0.00042873138,0.000023586521,0.020912426],"study_design_scores_gemma":[0.0007922526,0.00003259194,0.0018521236,0.000062548366,0.0000070531523,0.000010211042,0.00021720942,0.98440254,0.011981908,0.000044287404,0.0003533087,0.00024399337],"about_ca_topic_score_codex":0.000016340122,"about_ca_topic_score_gemma":0.00011356212,"teacher_disagreement_score":0.54996145,"about_ca_system_score_codex":0.00008376576,"about_ca_system_score_gemma":0.000006840573,"threshold_uncertainty_score":0.774267},"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":"W2090772552","doi":"10.1109/wcnc.2014.6952275","title":"Regularized zero-forcing precoding with non-homogeneous user conditions","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Telecommunications link; Channel state information; Base station; Zero-forcing precoding; Computer science; Channel (broadcasting); Noise power; Signal-to-noise ratio (imaging); Algorithm; Greedy algorithm; Noise (video); Mathematical optimization; Control theory (sociology); Mathematics; Power (physics); MIMO; Wireless; Computer network; Telecommunications; Artificial intelligence","score_opus":0.004349540207049114,"score_gpt":0.19141497449906714,"score_spread":0.18706543429201802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090772552","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":[0.024442535,0.000010161624,0.9486497,0.000010675564,0.00015027683,0.00021862911,0.000002486697,0.00057098,0.02594454],"genre_scores_gemma":[0.92116475,0.0000038465605,0.07666111,0.000023931481,0.00005972803,0.000040980107,0.000022560216,0.00005526881,0.0019678185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939793,0.000012212475,0.00016826084,0.00014543811,0.00007581908,0.00020034148],"domain_scores_gemma":[0.9995867,0.000044180175,0.000030083755,0.00023412384,0.000044556567,0.00006035721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007174432,0.0001317083,0.0001533248,0.00006931396,0.00008100488,0.000032196294,0.00007063388,0.000057726436,0.0000727904],"category_scores_gemma":[0.00001590426,0.000116913485,0.000024580791,0.00013166034,0.000015701637,0.0002095437,0.000011837061,0.00006958157,0.00005089805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036167473,0.0000040636055,0.00027236278,0.000037775022,0.000025123254,0.0000015027507,0.000079889964,0.97940105,0.017274419,0.0021164983,0.00046445962,0.00031921582],"study_design_scores_gemma":[0.0009464298,0.00004781266,0.0001629666,0.000116238014,0.000029366214,0.000050453702,0.00005366183,0.9688428,0.027450746,0.00037741594,0.0015507409,0.00037139416],"about_ca_topic_score_codex":0.0000074400855,"about_ca_topic_score_gemma":0.000030290792,"teacher_disagreement_score":0.8967222,"about_ca_system_score_codex":0.000052995787,"about_ca_system_score_gemma":0.00000610667,"threshold_uncertainty_score":0.47675934},"labels":[],"label_agreement":null},{"id":"W2091540876","doi":"10.1109/vetecf.2010.5594083","title":"Sum-Rate Analysis of Multiuser MIMO Systems with Codebook-Based Incremental Beamforming","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Codebook; Beamforming; Telecommunications link; Precoding; Computer science; Ergodic theory; MIMO; Algorithm; WSDMA; Mathematical optimization; Mathematics; Telecommunications","score_opus":0.006299319882913119,"score_gpt":0.2059744571132106,"score_spread":0.19967513723029748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091540876","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":[0.35863012,0.000019058481,0.63832337,0.0000020871998,0.00015599097,0.0002566989,0.000019307183,0.0002234795,0.0023698614],"genre_scores_gemma":[0.97444373,0.0000012911303,0.025236685,0.0000072581624,0.000020250485,0.000030005738,0.00005317171,0.000035460816,0.00017217058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923146,0.000013735115,0.00031356822,0.00014507095,0.00012486355,0.00017132626],"domain_scores_gemma":[0.9994291,0.000053353455,0.000080635305,0.00028633856,0.000092189446,0.000058373007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015840928,0.00014865446,0.00029937303,0.00029796563,0.000032965712,0.000019721478,0.000095747826,0.00007047877,0.000055330438],"category_scores_gemma":[0.000011573585,0.00012281322,0.000055542936,0.0004670754,0.000027638012,0.00017309125,0.000009868436,0.000102406826,0.000005883364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009207357,0.000010680416,0.008002536,0.00006439687,0.00030051987,0.0000010567056,0.000057439378,0.9060897,0.08528117,0.00012715948,0.000011114848,0.00004502245],"study_design_scores_gemma":[0.00041034303,0.000018978168,0.00049670495,0.000027261656,0.00022466943,0.0000010225485,0.00014118552,0.96366614,0.034740794,4.6537016e-7,0.00010824125,0.00016420086],"about_ca_topic_score_codex":0.00044036686,"about_ca_topic_score_gemma":0.002138059,"teacher_disagreement_score":0.61581355,"about_ca_system_score_codex":0.000040391915,"about_ca_system_score_gemma":0.000012680474,"threshold_uncertainty_score":0.5008178},"labels":[],"label_agreement":null},{"id":"W2091887893","doi":"10.1155/2013/368457","title":"Impact of Antenna and Propagation on Wireless Communication Technology: Terminal, Base Station, and Channel Modeling","year":2013,"lang":"en","type":"article","venue":"International Journal of Antennas and Propagation","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":"Blackberry (Canada)","funders":"","keywords":"Terminal (telecommunication); Base station; Wireless; Channel (broadcasting); Antenna (radio); Base transceiver station; Electronic engineering; Engineering; Electrical engineering; Telecommunications; Computer science; Wireless network; Wi-Fi array","score_opus":0.011621897288530903,"score_gpt":0.25673077176974224,"score_spread":0.24510887448121133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091887893","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":[0.78825784,0.0005007649,0.21059798,0.0002942408,0.00008083901,0.00021487744,0.000009292057,0.000023012883,0.000021177799],"genre_scores_gemma":[0.99592024,0.001610915,0.002355855,0.000010751072,0.000047099675,0.000010860289,0.000018887673,0.000018250583,0.0000071380114],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991022,0.00003306008,0.0004882381,0.000104427905,0.00018075369,0.00009132393],"domain_scores_gemma":[0.99862194,0.00004085052,0.0003280658,0.000091741174,0.00086643745,0.000050960054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021473644,0.00012923944,0.00018404266,0.00042848854,0.000051743194,0.00006708138,0.00010163076,0.00007605265,0.000004293836],"category_scores_gemma":[0.000073948824,0.00010749203,0.000029444216,0.000121361394,0.00006830695,0.00082376745,0.000026364027,0.00014959188,6.660466e-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":[0.00064732024,0.00034753827,0.027877394,0.0005479334,0.00082896964,0.000028118551,0.005271291,0.33053678,0.4314507,0.003226995,0.0001603918,0.19907658],"study_design_scores_gemma":[0.00068133627,0.0002761561,0.0046226475,0.0005115254,0.000018512304,0.00019463914,0.00037552093,0.9890766,0.0019371603,0.002184502,0.0000017125313,0.000119663826],"about_ca_topic_score_codex":0.00003853827,"about_ca_topic_score_gemma":0.0000042285633,"teacher_disagreement_score":0.65853983,"about_ca_system_score_codex":0.00007041884,"about_ca_system_score_gemma":0.000023293967,"threshold_uncertainty_score":0.43833977},"labels":[],"label_agreement":null},{"id":"W2092865206","doi":"10.1109/lcomm.2014.2377156","title":"A Stochastic Game-Theoretic Approach for Interference Mitigation in Small Cell Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Nash equilibrium; Computer science; Potential game; Small cell; Game theory; Regret; Interference (communication); Mathematical optimization; Selection (genetic algorithm); Channel (broadcasting); Distributed algorithm; Distributed computing; Equilibrium selection; Computer network; Cellular network; Repeated game; Mathematical economics; Mathematics; Artificial intelligence","score_opus":0.015962378740599432,"score_gpt":0.22059628341953405,"score_spread":0.2046339046789346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092865206","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":[0.00844787,0.0001624162,0.98966616,0.00016696395,0.00013899061,0.0005751807,0.000004244057,0.00017625291,0.00066189485],"genre_scores_gemma":[0.89594895,0.000026787127,0.10317612,0.0001456988,0.00004211855,0.0005018326,0.00010565188,0.00004142878,0.0000113917995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921596,0.00009759137,0.00029582836,0.00015031834,0.00003393079,0.00020636934],"domain_scores_gemma":[0.9986016,0.00030289206,0.00006483819,0.00095274334,0.00003941129,0.000038483147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021356407,0.00013754252,0.00015400037,0.00013177164,0.000057094985,0.000031354128,0.0005536755,0.00006829797,0.0000011514289],"category_scores_gemma":[0.0000412093,0.0001620541,0.000038817205,0.0002130284,0.00008301725,0.00010603828,0.000037006695,0.00020762214,0.000004799236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031322338,0.00001990699,0.000032091415,0.000053145934,0.0000046453583,2.5644871e-8,0.0003556375,0.9941544,0.0035796866,0.00086602994,0.00013220478,0.0007991153],"study_design_scores_gemma":[0.0003465132,0.000012042106,0.000028211722,0.00006055726,0.000011080454,0.0000012780195,0.000056112207,0.9987346,0.0002952139,0.00022555413,0.000065285894,0.00016353013],"about_ca_topic_score_codex":0.000008245159,"about_ca_topic_score_gemma":0.00003198431,"teacher_disagreement_score":0.8875011,"about_ca_system_score_codex":0.00011244763,"about_ca_system_score_gemma":0.0000052392293,"threshold_uncertainty_score":0.6608375},"labels":[],"label_agreement":null},{"id":"W2093136648","doi":"10.1109/vtcfall.2014.6965901","title":"Channel and Noise Covariance Matrix Estimation for MIMO Systems with Optimal Training Design","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Covariance matrix; Estimator; Cramér–Rao bound; Mathematics; Estimation of covariance matrices; Algorithm; Noise (video); Covariance; Signal-to-noise ratio (imaging); Estimation theory; Statistics; Least-squares function approximation; Computer science; Artificial intelligence","score_opus":0.019661564532259073,"score_gpt":0.2295745639820319,"score_spread":0.20991299944977285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093136648","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":[0.00048405514,0.00014160384,0.9978133,0.000014532037,0.00015560599,0.00072705845,0.000004289737,0.00036199111,0.00029758696],"genre_scores_gemma":[0.5486913,0.000004066537,0.45091367,0.000004264383,0.00005505835,0.0001391461,0.000008275912,0.000034269484,0.00014997613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999392,0.000018683326,0.0001794444,0.00015962547,0.000063026324,0.00018723623],"domain_scores_gemma":[0.99960643,0.0001216817,0.00004489601,0.000118591466,0.000053062555,0.000055331857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022685179,0.00013798535,0.00018295809,0.00005647485,0.00006133735,0.00005494306,0.000046684916,0.000060353963,0.0000013965341],"category_scores_gemma":[0.00003866592,0.00012239766,0.000011594172,0.000084012245,0.000014382507,0.00027171575,0.0000047879885,0.000039905914,0.00000355963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019194435,0.0000023261603,0.0000017913338,0.00018102935,0.000013454483,2.698486e-7,0.00031124,0.9965922,0.00041872895,0.001615659,0.000072011346,0.00077209785],"study_design_scores_gemma":[0.00061829353,0.00008528426,0.0000055565592,0.000095303825,0.000015264948,0.00002340271,0.00017488361,0.9982378,0.0004214163,0.000048882303,0.00010500885,0.00016891192],"about_ca_topic_score_codex":0.000005456022,"about_ca_topic_score_gemma":0.0000014784654,"teacher_disagreement_score":0.5482072,"about_ca_system_score_codex":0.00003318954,"about_ca_system_score_gemma":0.0000087775015,"threshold_uncertainty_score":0.49912316},"labels":[],"label_agreement":null},{"id":"W2093681674","doi":"10.1155/2010/603970","title":"Simulators and Experimental Testbeds Design and Development for Wireless Networks","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Telecommunications; Allee effect; Wireless; Access technology; Wireless network; Library science","score_opus":0.029953687710528868,"score_gpt":0.27026303462052353,"score_spread":0.24030934690999467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093681674","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":[0.30818373,0.0070099356,0.68376863,0.00005197313,0.0004339809,0.00037771562,8.0464025e-7,0.00009627336,0.00007697],"genre_scores_gemma":[0.939163,0.0029484008,0.057554863,0.000031556672,0.00019521854,0.000043680735,0.000005871883,0.00005013158,0.000007253209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914795,0.00006324466,0.00034271667,0.0001413109,0.00007136877,0.00023342913],"domain_scores_gemma":[0.99888885,0.0005106804,0.00011306163,0.00028898037,0.00005222382,0.00014620004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040636671,0.00018975437,0.00020557245,0.00007133214,0.00073273823,0.00016371123,0.00018721845,0.00009872096,0.0000014959192],"category_scores_gemma":[0.0000061987134,0.00018585293,0.000019097644,0.000096085234,0.00009121796,0.00018322527,0.00008939623,0.00045364964,2.9816198e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006396469,0.00008397516,0.0038447592,0.000044299988,0.00012875433,0.0000036255592,0.0019221139,0.57411736,0.0057085054,0.0012747105,0.00012921295,0.41267872],"study_design_scores_gemma":[0.0006036229,0.000057970326,0.00019356215,0.00015772259,0.000010995586,0.00009410571,0.000152153,0.9907938,0.00066098926,0.00003818469,0.0069937306,0.00024312119],"about_ca_topic_score_codex":6.236626e-7,"about_ca_topic_score_gemma":0.0000062330937,"teacher_disagreement_score":0.6309793,"about_ca_system_score_codex":0.00003741882,"about_ca_system_score_gemma":0.000015621203,"threshold_uncertainty_score":0.75788623},"labels":[],"label_agreement":null},{"id":"W2093869279","doi":"10.1109/cwit.2013.6621602","title":"On achieving optimal degrees of freedom of MIMO cellular networks using decomposition","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Cellular network; Degrees of freedom (physics and chemistry); Base station; Spectral efficiency; Computer science; Interference (communication); Decomposition; Topology (electrical circuits); Mathematics; Control theory (sociology); Computer network; Telecommunications; Beamforming; Physics; Combinatorics; Channel (broadcasting); Biology; Artificial intelligence","score_opus":0.00919856696862507,"score_gpt":0.21814607480044435,"score_spread":0.20894750783181928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093869279","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":[0.33992767,0.00012451966,0.6588864,0.000001205631,0.00011312501,0.00014441837,9.673844e-7,0.000061899336,0.0007398327],"genre_scores_gemma":[0.8056638,0.0000075722023,0.19423667,0.0000014292884,0.000038914997,0.0000045220177,0.0000073721294,0.000024968598,0.000014750991],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993527,0.000017633225,0.00031137638,0.00009696706,0.000081045044,0.0001402822],"domain_scores_gemma":[0.9995885,0.000056793197,0.000079923746,0.00017059286,0.00007077143,0.00003343797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055909466,0.00011252808,0.00018931476,0.000087781016,0.000022227581,0.000009147046,0.00007805943,0.000076433345,0.000087221146],"category_scores_gemma":[0.000009561819,0.000111253365,0.000045652832,0.0001244414,0.000021192665,0.0002152388,0.000017900786,0.00006881514,0.0000051309694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030303704,0.0000115162875,0.00015258304,0.000045998757,0.000016082575,2.48844e-7,0.000033949633,0.8900839,0.10900377,0.00035385927,0.00003730926,0.00025775426],"study_design_scores_gemma":[0.00015536282,0.00003400447,0.00017436541,0.00012208958,0.000010802398,0.0000014384564,0.000041197196,0.98028916,0.019061908,0.000009513699,0.0000015349195,0.000098608965],"about_ca_topic_score_codex":0.00009669343,"about_ca_topic_score_gemma":0.00000466176,"teacher_disagreement_score":0.46573612,"about_ca_system_score_codex":0.000040777686,"about_ca_system_score_gemma":0.000003510568,"threshold_uncertainty_score":0.45367807},"labels":[],"label_agreement":null},{"id":"W2094062715","doi":"10.1109/spawc.2014.6941658","title":"Sparse beamforming design for network MIMO system with per-base-station backhaul constraints","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Beamforming; MIMO; Base station; Computer science; Maximization; Mathematical optimization; Iterative method; Telecommunications link; Transmitter power output; Cluster analysis; Computational complexity theory; Algorithm; Mathematics; Computer network; Transmitter; Artificial intelligence; Telecommunications","score_opus":0.017145810928418066,"score_gpt":0.20808639397189874,"score_spread":0.19094058304348066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094062715","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":[0.0006512373,0.000032471587,0.99289006,0.000008283412,0.00027948906,0.0008870412,0.000006767974,0.00065168226,0.0045929495],"genre_scores_gemma":[0.54040533,0.0000015943968,0.45910063,0.000012796138,0.00014826981,0.000107965854,0.000029981713,0.000050012823,0.00014343682],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990969,0.00003215687,0.00027414892,0.00018669649,0.00009442754,0.0003156908],"domain_scores_gemma":[0.99938095,0.00019054742,0.00006721803,0.00018802613,0.00009725173,0.000076004886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031579554,0.000180864,0.00021096386,0.000050671468,0.00009462374,0.000034920577,0.00007240287,0.00007374728,0.00001857824],"category_scores_gemma":[0.00002324655,0.0001598425,0.00003088595,0.000115962415,0.000029773779,0.00022284297,0.000005511464,0.000056368695,0.00003058198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018634955,0.0000034329098,0.000038315608,0.0002251745,0.000022920796,5.38794e-7,0.00007284735,0.9920454,0.00039247403,0.0041300864,0.0007251202,0.0023250384],"study_design_scores_gemma":[0.0006642564,0.00008932804,0.0000064476194,0.00019863641,0.000023197645,0.000020434585,0.0003685933,0.996208,0.0015482117,0.000055532306,0.00058136915,0.000236008],"about_ca_topic_score_codex":0.0000045663223,"about_ca_topic_score_gemma":0.000018383646,"teacher_disagreement_score":0.5397541,"about_ca_system_score_codex":0.00012190663,"about_ca_system_score_gemma":0.0000174091,"threshold_uncertainty_score":0.6518188},"labels":[],"label_agreement":null},{"id":"W2094119580","doi":"10.1109/vtcfall.2014.6966134","title":"Preliminary System-Level Simulation Results for the 3GPP 3D MIMO Channel Model","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Channel (broadcasting); 3G MIMO; Computer science; Dimension (graph theory); Multi-user MIMO; Antenna (radio); Computation; Telecommunications; Algorithm; Mathematics","score_opus":0.030717896331230326,"score_gpt":0.24615341350006964,"score_spread":0.21543551716883932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094119580","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":[0.0001270188,0.00007951167,0.9912262,0.000050356968,0.00037106615,0.00078779145,0.000042609598,0.0005701539,0.0067453235],"genre_scores_gemma":[0.9565101,0.000004653696,0.04130136,0.00002258138,0.00019291247,0.00015282579,0.00003827368,0.000050574225,0.0017267028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991958,0.000016681277,0.00031548296,0.00017576573,0.00009708849,0.00019918576],"domain_scores_gemma":[0.99906695,0.00039143092,0.000056514837,0.0003459357,0.00010139611,0.000037774997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002794228,0.00014445088,0.00013998122,0.00004898401,0.000113317124,0.000023735503,0.00012829147,0.00009135923,7.648374e-7],"category_scores_gemma":[0.0001203098,0.00010815192,0.00004436116,0.00008756503,0.000010198886,0.00018809743,0.000019300596,0.000057449837,0.000018352708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004738028,0.000004205541,3.7418724e-7,0.00014915166,0.000013305499,6.040549e-8,0.00021257471,0.99640024,0.000106053696,0.0011492616,0.00081958075,0.0010978417],"study_design_scores_gemma":[0.00057838217,0.00003686744,0.000010970371,0.000055544526,0.000019954932,0.0000014352817,0.000108925386,0.9982649,0.00022046584,0.00010105557,0.00045882183,0.00014266797],"about_ca_topic_score_codex":0.000006825999,"about_ca_topic_score_gemma":0.000007743735,"teacher_disagreement_score":0.9563831,"about_ca_system_score_codex":0.00007855958,"about_ca_system_score_gemma":0.0000064807045,"threshold_uncertainty_score":0.44103074},"labels":[],"label_agreement":null},{"id":"W2094167802","doi":"10.1109/isspit.2007.4458115","title":"Robust Transmit Beamforming for Collaborative MIMO-OFDM Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Subcarrier; Orthogonal frequency-division multiplexing; MIMO; Computer science; Channel state information; Precoding; MIMO-OFDM; WSDMA; Multiplexing; Transmitter; Transmitter power output; Signal-to-noise ratio (imaging); Transmission (telecommunications); Electronic engineering; Channel (broadcasting); Wireless; Computer network; Telecommunications; Engineering","score_opus":0.018757428983458158,"score_gpt":0.2269269747475024,"score_spread":0.20816954576404423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094167802","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":[0.00059148646,0.00051645224,0.9784922,0.000010151735,0.0006722143,0.0009207925,0.000022583534,0.00051399256,0.018260121],"genre_scores_gemma":[0.6351665,0.000040892184,0.3617914,0.000023197315,0.00040186918,0.00019363455,0.000052733973,0.00012502614,0.0022046964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911636,0.0000059030394,0.00034053877,0.00014705259,0.00008528695,0.00030487598],"domain_scores_gemma":[0.999501,0.000112247544,0.000035912988,0.00013720404,0.00014045471,0.000073162744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025506594,0.00015084007,0.00019208607,0.000100275145,0.0000689256,0.000032069667,0.000078563695,0.000097135766,0.000014079849],"category_scores_gemma":[0.000018412487,0.00014724054,0.000038095197,0.00030254447,0.00001242702,0.00027738756,0.000003947373,0.000058298963,0.000011649081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010662808,0.000006017045,0.000011174121,0.00015847548,0.000027827407,0.0000011785228,0.00031627482,0.9894719,0.002639708,0.005545498,0.00042128336,0.0013900166],"study_design_scores_gemma":[0.00082680356,0.00007337025,0.000008661028,0.000111434594,0.000029392497,0.000012673049,0.004649312,0.9449155,0.021623563,0.00009020344,0.027166415,0.0004927124],"about_ca_topic_score_codex":0.000009824083,"about_ca_topic_score_gemma":0.00006811627,"teacher_disagreement_score":0.63457507,"about_ca_system_score_codex":0.00012942616,"about_ca_system_score_gemma":0.000013040881,"threshold_uncertainty_score":0.6004295},"labels":[],"label_agreement":null},{"id":"W2094331586","doi":"10.1109/iccw.2014.6881172","title":"Unified and non-parameterized statistical modeling of temporal and spatial traffic heterogeneity in wireless cellular networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Traffic generation model; Metric (unit); Cellular traffic; Domain (mathematical analysis); Parameterized complexity; Statistic; Cellular network; Algorithm; Real-time computing; Mathematics; Computer network; Statistics; Engineering","score_opus":0.00911419253452688,"score_gpt":0.2115861700263015,"score_spread":0.20247197749177462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094331586","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":[0.48101485,0.00002050107,0.5187875,8.1491686e-7,0.00003224808,0.0000857732,0.0000017060975,0.00002820211,0.000028416802],"genre_scores_gemma":[0.974353,0.00001860265,0.025558574,0.000002392382,0.000019910516,0.000006449303,0.000017830847,0.000021245469,0.0000019924057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993446,0.000034879755,0.00028054533,0.00014698057,0.000051621064,0.0001413823],"domain_scores_gemma":[0.999748,0.000055208566,0.000025424386,0.00010033285,0.000016427619,0.00005459834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013551935,0.00011227813,0.00024754967,0.000052538187,0.000014377186,0.000012883977,0.000032977063,0.00007959246,0.0000024686467],"category_scores_gemma":[0.000011128698,0.000113204966,0.000010349165,0.00005927485,0.000027738366,0.00006750635,0.000017932338,0.00007751518,2.1380923e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000180587,0.000006870438,0.0006390268,0.000067703404,0.000005808325,9.667378e-7,0.000042498436,0.9935473,0.0027524878,0.00007198856,7.237521e-7,0.0028465583],"study_design_scores_gemma":[0.0006449579,0.000029827772,0.00014194372,0.000026650865,0.0000057408865,0.0000013779346,0.000016432374,0.99815947,0.00083005556,0.000028856053,7.553621e-7,0.0001139464],"about_ca_topic_score_codex":0.00013433943,"about_ca_topic_score_gemma":0.00027233997,"teacher_disagreement_score":0.49333817,"about_ca_system_score_codex":0.000013687208,"about_ca_system_score_gemma":0.0000034183108,"threshold_uncertainty_score":0.46163645},"labels":[],"label_agreement":null},{"id":"W2094380599","doi":"10.1109/pimrc.2011.6139707","title":"Coverage extension with hybrid-access femtocells","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Macrocell; Computer network; Computer science; Context (archaeology); Base station; Interference (communication)","score_opus":0.022173470754224395,"score_gpt":0.21405931067879705,"score_spread":0.19188583992457264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094380599","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":[0.029996263,0.000041294334,0.87662935,0.0000018233649,0.0001353172,0.00017288128,0.0000015923159,0.00048240184,0.09253908],"genre_scores_gemma":[0.9844541,0.000028960518,0.014634909,0.00003278491,0.000025095347,0.000013256176,0.000004972399,0.00003905025,0.0007668793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956644,0.000005193301,0.00011035327,0.00012155738,0.000061027433,0.00013544077],"domain_scores_gemma":[0.99969137,0.000007821299,0.00001859007,0.00019961475,0.000036777863,0.00004583903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002869655,0.00010198423,0.00009754547,0.000041929303,0.000022747365,0.00001831615,0.000089382884,0.000022356206,0.0002684004],"category_scores_gemma":[0.0000032701787,0.000081716935,0.00001299329,0.00009036655,0.000009970289,0.00037161374,0.000017977178,0.000047584792,0.0000807286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051663497,0.00004586762,0.0023299607,0.00014049676,0.000046672354,0.000091631686,0.0003378611,0.98049414,0.006096701,0.000952764,0.0035035668,0.0059086834],"study_design_scores_gemma":[0.0022022272,0.00025715996,0.0066442387,0.0002298323,0.00005272318,0.00021485881,0.00014563107,0.52422565,0.45828757,0.0013277923,0.0048533496,0.0015589569],"about_ca_topic_score_codex":0.000024530525,"about_ca_topic_score_gemma":0.000009992921,"teacher_disagreement_score":0.9544578,"about_ca_system_score_codex":0.000025539232,"about_ca_system_score_gemma":0.0000045591664,"threshold_uncertainty_score":0.333232},"labels":[],"label_agreement":null},{"id":"W2094667486","doi":"10.1109/tmc.2013.96","title":"Pricing, Spectrum Sharing, and Service Selection in Two-Tier Small Cell Networks: A Hierarchical Dynamic Game Approach","year":2013,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Stackelberg competition; Computer science; Macrocell; Computer network; Game theory; Service provider; Service (business); Resource allocation; Evolutionary game theory; Nash equilibrium; Mathematical optimization; Base station; Business; Microeconomics","score_opus":0.006133857085514785,"score_gpt":0.21001357910320648,"score_spread":0.2038797220176917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094667486","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":[0.25380522,0.00009421011,0.7445288,0.0000074152235,0.00020693919,0.00066299253,7.874996e-7,0.0003702135,0.00032344146],"genre_scores_gemma":[0.9830303,0.000049844402,0.01652247,0.000034249966,0.00006418682,0.00014622501,0.0000046091186,0.00007875564,0.00006935567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986291,0.000046079436,0.00038160855,0.00042258226,0.00009198009,0.0004286579],"domain_scores_gemma":[0.9995606,0.00007940694,0.000058211393,0.00017463468,0.000030150835,0.000096974305],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013578185,0.00025830223,0.00025003948,0.00027803323,0.00011747459,0.00008350317,0.00013070919,0.00010876215,0.00002024684],"category_scores_gemma":[0.0000014109735,0.00029528313,0.00004419416,0.0006737526,0.000019339363,0.00020306246,0.000004229199,0.0006110452,0.000015962958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046252144,0.00006681974,0.00017822032,0.00011849477,0.000012986316,7.5959895e-7,0.00058228953,0.98911583,0.00084443553,0.00000425879,0.000001922515,0.009069366],"study_design_scores_gemma":[0.00058028137,0.00004477129,0.000289609,0.00008661793,0.000012762954,0.000024044217,0.000110484216,0.9979864,0.0005353032,0.0000434224,0.0000142366425,0.0002721109],"about_ca_topic_score_codex":0.00020282764,"about_ca_topic_score_gemma":0.00028160235,"teacher_disagreement_score":0.7292251,"about_ca_system_score_codex":0.00023722195,"about_ca_system_score_gemma":0.000010975828,"threshold_uncertainty_score":0.99994993},"labels":[],"label_agreement":null},{"id":"W2094725198","doi":"10.1109/ccece.2010.5575106","title":"Zero-forcing incremental beamforming transmission for multiuser MIMO systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; MIMO; Computer science; Interference (communication); Transmission (telecommunications); WSDMA; Precoding; Control theory (sociology); Algorithm; Electronic engineering; Telecommunications; Engineering; Channel (broadcasting); Artificial intelligence","score_opus":0.00876225040319278,"score_gpt":0.22464608958934532,"score_spread":0.21588383918615253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094725198","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":[0.024533939,0.000074790885,0.9709533,0.0000076196256,0.0009816792,0.0007228835,0.000007126823,0.0005391836,0.0021794771],"genre_scores_gemma":[0.83923084,0.00000670056,0.15999775,0.0000074985005,0.00013019453,0.00010429563,0.000027749267,0.000061703715,0.00043326974],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992042,0.0000049658775,0.00029685284,0.00015298817,0.00008964942,0.00025135223],"domain_scores_gemma":[0.99963504,0.000046708745,0.00003162731,0.0001614437,0.000042781747,0.000082412786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014995379,0.00015253123,0.00015770167,0.00007943091,0.00009641206,0.00003838252,0.00009433951,0.00011438205,0.000026004254],"category_scores_gemma":[0.000014558692,0.00014051018,0.00005100077,0.00008070692,0.000009406442,0.00035564162,0.000009297852,0.00012551509,0.00001168408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006851249,0.000008593711,0.000064885375,0.00023869131,0.000016391761,4.171345e-7,0.00019977284,0.41222954,0.58054197,0.0011355105,0.00026689822,0.0052905194],"study_design_scores_gemma":[0.00047654624,0.000017686329,0.000006035283,0.00006291381,0.000010911304,0.000010042826,0.00018788612,0.90152574,0.0891183,0.00004270128,0.008321581,0.00021965354],"about_ca_topic_score_codex":0.000039070743,"about_ca_topic_score_gemma":0.000021181915,"teacher_disagreement_score":0.8146969,"about_ca_system_score_codex":0.000050352097,"about_ca_system_score_gemma":0.0000066551274,"threshold_uncertainty_score":0.57298386},"labels":[],"label_agreement":null},{"id":"W2094772862","doi":"10.1109/tcomm.2012.061212.110200","title":"Iterative Mode-Dropping for the Sum Capacity of MIMO-MAC with Per-Antenna Power Constraint","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Maximization; Constraint (computer-aided design); Antenna (radio); 3G MIMO; Multi-user MIMO; Mathematical optimization; Power (physics); Mode (computer interface); Iterative method; Convergence (economics); Computer science; Algorithm; Covariance matrix; Mathematics; Electronic engineering; Control theory (sociology); Telecommunications; Engineering; Beamforming","score_opus":0.035674985202138465,"score_gpt":0.268052692047264,"score_spread":0.23237770684512554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094772862","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":[0.001388387,0.00042330232,0.995439,0.0002493864,0.00022619688,0.0006836352,0.00027762537,0.00014345972,0.0011690068],"genre_scores_gemma":[0.9565083,0.00019261864,0.042761948,0.000023396533,0.000013580984,0.00038004213,0.000011645029,0.00003814961,0.00007035181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992612,0.00006051373,0.00028035237,0.000093389346,0.00009024245,0.00021429802],"domain_scores_gemma":[0.99811685,0.00055641733,0.00007244979,0.0010114746,0.00018466638,0.000058149366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014403283,0.00015487446,0.00017423286,0.000089818,0.00037012543,0.000017940229,0.00033204802,0.00006238022,0.00003712536],"category_scores_gemma":[0.000006614796,0.000121767305,0.000084973086,0.00019869403,0.0002363871,0.00030592215,0.0000021475212,0.00025819376,0.0000065561194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003326543,0.00027006306,0.00004054125,0.000063329506,0.0003484704,4.901876e-8,0.007716692,0.97255045,0.012565972,0.0037375542,0.00005442264,0.0026191638],"study_design_scores_gemma":[0.0010279041,0.00014633285,0.00008690393,0.00025001672,0.00024939762,0.00003415513,0.0041352827,0.97127646,0.01822022,0.00011548456,0.003956735,0.0005011313],"about_ca_topic_score_codex":0.000030381472,"about_ca_topic_score_gemma":0.00016813778,"teacher_disagreement_score":0.9551199,"about_ca_system_score_codex":0.000091660906,"about_ca_system_score_gemma":0.000021479063,"threshold_uncertainty_score":0.49655265},"labels":[],"label_agreement":null},{"id":"W2095071215","doi":"10.1109/qbsc.2014.6841197","title":"Self-optimizing control parameters for minimizing ping-pong handover in Long Term Evolution (LTE)","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Handover; Weighting; Computer science; Term (time); Ping pong; Control (management); Computer network; Simulation; Artificial intelligence; Physics","score_opus":0.006088245532747443,"score_gpt":0.20803478107767698,"score_spread":0.20194653554492953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095071215","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":[0.015152205,0.00017648718,0.9814996,0.000019584922,0.00041545622,0.0008155615,0.0000027554925,0.0006130747,0.0013052339],"genre_scores_gemma":[0.82816285,0.000010871645,0.17144105,0.000034321907,0.00008238605,0.0001423312,0.000011010093,0.000060065457,0.000055095745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987535,0.00004272847,0.0004206592,0.00026522597,0.00009848725,0.00041943797],"domain_scores_gemma":[0.9993207,0.0002643557,0.000072296374,0.0002212375,0.00005192382,0.0000695283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031611221,0.0002179047,0.00031227982,0.00020469051,0.00006409996,0.000052375468,0.00010962624,0.00012589175,0.000006053456],"category_scores_gemma":[0.000111501526,0.00023183678,0.00007873182,0.00016864884,0.000014018197,0.0004419732,0.000013811111,0.00011157955,0.0000103490875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002530582,0.000016776023,0.004561582,0.00021897242,0.00003569533,9.19244e-7,0.00018996112,0.99121344,0.0019077131,0.0004185783,0.00004577813,0.0013653061],"study_design_scores_gemma":[0.0026769424,0.000033710006,0.0010479616,0.00012933619,0.000026936474,0.0000044546787,0.00005087694,0.99427897,0.0013060084,0.000076637465,0.00007144205,0.00029673777],"about_ca_topic_score_codex":0.000017723658,"about_ca_topic_score_gemma":0.00008110155,"teacher_disagreement_score":0.81301063,"about_ca_system_score_codex":0.00034742794,"about_ca_system_score_gemma":0.000010348018,"threshold_uncertainty_score":0.9454029},"labels":[],"label_agreement":null},{"id":"W2095242652","doi":"10.1109/wicom.2006.4","title":"A Novel Wideband MIMO Channel Model and the Wideband MIMO Software Defined Radio","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Wideband; MIMO; Transmitter; Software-defined radio; Computer science; Electronic engineering; Channel (broadcasting); 3G MIMO; Telecommunications; Engineering","score_opus":0.009218024513000278,"score_gpt":0.19227899349845942,"score_spread":0.18306096898545915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095242652","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":[0.0027644536,0.0015759012,0.9905538,0.00016305516,0.00015158039,0.0004285034,0.000016713142,0.00049150304,0.0038544724],"genre_scores_gemma":[0.9194575,0.000099177414,0.07660292,0.000115584866,0.00013775955,0.00009431842,0.0000299584,0.00009428734,0.0033684901],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903554,0.000013254748,0.0003086426,0.00023190872,0.00012070523,0.00028995136],"domain_scores_gemma":[0.9994261,0.00013778085,0.000046114274,0.00027834228,0.000054678057,0.00005696409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013601367,0.0002385464,0.00027760692,0.000072241826,0.000115834344,0.000059863927,0.00011690711,0.00010380401,0.000009374038],"category_scores_gemma":[0.00005665663,0.00017278719,0.000054025742,0.00016344042,0.00007766502,0.00024633284,0.000031189804,0.00011375856,0.000008100377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002532221,0.000012006484,0.000058061785,0.000050172694,0.000022008695,0.0000010306318,0.00015975942,0.9929387,0.0019601206,0.0020609281,0.0025267522,0.00018514451],"study_design_scores_gemma":[0.0026793038,0.0000086377795,0.000055949804,0.000037594527,0.000029054805,0.00003753217,0.000036863108,0.99303955,0.0010265978,0.002465618,0.00030827316,0.0002750353],"about_ca_topic_score_codex":0.00020543333,"about_ca_topic_score_gemma":0.0002905195,"teacher_disagreement_score":0.91669303,"about_ca_system_score_codex":0.000049494545,"about_ca_system_score_gemma":0.0000133687245,"threshold_uncertainty_score":0.7046057},"labels":[],"label_agreement":null},{"id":"W2095250447","doi":"10.1109/iwcmc.2014.6906334","title":"Capacity improvement via indoor small cells","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Intel Corporation","keywords":"Software deployment; Computer science; Modulation (music); Order (exchange); Small cell; Telecommunications; Wireless","score_opus":0.007634679227197047,"score_gpt":0.17066993693691146,"score_spread":0.16303525770971442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095250447","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":[0.025334606,0.0000067617852,0.9579952,0.000008305492,0.00036997895,0.00015066637,0.0000011867472,0.00036530726,0.015768023],"genre_scores_gemma":[0.9560342,0.0000028354084,0.043226242,0.000048181464,0.00008009493,0.000017963403,0.0000027135475,0.00002400344,0.00056379364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957156,0.0000071127984,0.00013760995,0.00009580008,0.00004381645,0.00014412844],"domain_scores_gemma":[0.9997317,0.000014897758,0.000016769398,0.00016772537,0.000022324024,0.000046535184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007086849,0.000088430344,0.00008937789,0.000029644465,0.00001923273,0.000010906708,0.00006171707,0.0000439266,0.000057707242],"category_scores_gemma":[0.000005883047,0.000083599705,0.00001993145,0.00005420792,0.000006872699,0.00006462213,0.000012575219,0.000054792425,0.0001274209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013711715,0.000013281491,0.00009593443,0.00009068457,0.000016561726,2.7038902e-7,0.00011332379,0.50691104,0.46713313,0.0007020001,0.0005124612,0.024409946],"study_design_scores_gemma":[0.00024935685,0.000031385844,0.000041864354,0.000007442357,0.000004297811,8.588277e-7,0.000011148456,0.55651397,0.43941987,0.00021785944,0.003333032,0.00016890798],"about_ca_topic_score_codex":0.000031237265,"about_ca_topic_score_gemma":0.000045171648,"teacher_disagreement_score":0.9306996,"about_ca_system_score_codex":0.000050631883,"about_ca_system_score_gemma":0.000001578996,"threshold_uncertainty_score":0.3409097},"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":"W2095854303","doi":"10.1109/aps.2008.4619496","title":"MIMO correlation matrices in a microcell scenario for link-layer simulations","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Microcell; MIMO; Correlation; Computer science; Link (geometry); Physical layer; Electronic engineering; Spatial correlation; Algorithm; Channel (broadcasting); Mathematics; Wireless; Telecommunications; Engineering; Computer network","score_opus":0.01859712501695356,"score_gpt":0.2359365573109274,"score_spread":0.21733943229397382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095854303","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":[0.033261612,0.0002676487,0.96333086,0.000026852282,0.00018449983,0.00045739245,0.000007995731,0.00024350088,0.0022196423],"genre_scores_gemma":[0.9327815,0.00003995488,0.065872476,0.0000148601885,0.00007293441,0.000025050562,0.00004450093,0.000029511824,0.0011191944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994497,0.0000056768868,0.00024220173,0.000113387236,0.000045647055,0.00014341608],"domain_scores_gemma":[0.9997052,0.000088277906,0.000029051116,0.0001000411,0.000050781637,0.000026650298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000348459,0.00009239516,0.00010599345,0.00014485134,0.000052689473,0.000008768609,0.00004613278,0.00008389963,0.000030970758],"category_scores_gemma":[0.000023587983,0.00009874753,0.00002690691,0.00023432258,0.000007753377,0.00022500796,0.000005907849,0.000061622326,0.000034294164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003847774,0.00000656276,0.0023370336,0.000030321939,0.0000037403527,6.8466375e-7,0.00028038284,0.9942795,0.0022304635,0.000086441556,0.00044366508,0.00029736687],"study_design_scores_gemma":[0.00047915563,0.0000095103715,0.000517211,0.000017955646,0.0000043372584,0.0000047442477,0.000026032523,0.9949446,0.0014951379,0.00010802227,0.0022657744,0.00012751801],"about_ca_topic_score_codex":0.000020550604,"about_ca_topic_score_gemma":0.00011726498,"teacher_disagreement_score":0.8995199,"about_ca_system_score_codex":0.000083233535,"about_ca_system_score_gemma":0.000011991762,"threshold_uncertainty_score":0.40268072},"labels":[],"label_agreement":null},{"id":"W2095936794","doi":"10.1109/tsp.2011.2113178","title":"Bit Allocation Law for Multiantenna Channel Feedback Quantization: Single-User Case","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Quantization (signal processing); Transmitter; Computer science; Vector quantization; Channel (broadcasting); Base station; Algorithm; Asymptotically optimal algorithm; Topology (electrical circuits); Mathematics; Telecommunications; Combinatorics","score_opus":0.04594563913003577,"score_gpt":0.2430850905346956,"score_spread":0.19713945140465983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095936794","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":[0.0010990718,0.00013893202,0.99645054,0.000020506272,0.00039143182,0.00054862443,0.000024227458,0.00062268507,0.0007039623],"genre_scores_gemma":[0.9711509,0.0000070013775,0.02822374,0.000068892085,0.00008768737,0.00017780578,0.000011061826,0.00010884947,0.00016409344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988911,0.000021050191,0.00038541594,0.00029109482,0.00011933203,0.00029197385],"domain_scores_gemma":[0.9993738,0.000044503147,0.000085636915,0.00016357249,0.0002416636,0.000090825444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000106200714,0.00024681428,0.00019545403,0.00013440785,0.00035967721,0.00006434505,0.00009327922,0.0001450471,0.000040296833],"category_scores_gemma":[0.0000026350178,0.0002701679,0.00007770354,0.0003513626,0.000052170075,0.00079519476,5.636078e-7,0.00015015606,0.000024668263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008214888,0.00017247512,7.3708526e-7,0.0004058764,0.00004640831,0.000024758981,0.0020395527,0.9503893,0.022085613,0.000113621616,0.000021400014,0.024618063],"study_design_scores_gemma":[0.0007373327,0.000111979716,8.839257e-7,0.00023777293,0.000068350695,0.00022212419,0.00057301164,0.7913583,0.20603307,0.00013705628,0.0001336609,0.00038650565],"about_ca_topic_score_codex":0.000029898792,"about_ca_topic_score_gemma":0.00013464109,"teacher_disagreement_score":0.9700518,"about_ca_system_score_codex":0.00011420811,"about_ca_system_score_gemma":0.000021207483,"threshold_uncertainty_score":0.999975},"labels":[],"label_agreement":null},{"id":"W2096439448","doi":"10.1109/tcomm.2011.060911.100554","title":"Multicell Interference Mitigation with Joint Beamforming and Common Message Decoding","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Telecommunications link; Decoding methods; Interference (communication); Base station; Transmitter; Multiplexing; Computer network; Optimization problem; Heuristic; Antenna (radio); Mathematical optimization; Channel (broadcasting); Telecommunications; Algorithm; Mathematics","score_opus":0.04056802228546848,"score_gpt":0.2394367607084012,"score_spread":0.19886873842293273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096439448","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":[0.015103278,0.00012531079,0.978525,0.000030491876,0.00009457348,0.0002823994,0.000013658366,0.00034065542,0.0054846574],"genre_scores_gemma":[0.89558,0.00039776156,0.10378604,0.00001392386,0.000004313582,0.000116136995,0.000006437406,0.000034329623,0.00006109047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993561,0.000044641325,0.0002605801,0.0001314262,0.00006273038,0.00014454658],"domain_scores_gemma":[0.99897134,0.000096582015,0.000055901917,0.0007533592,0.000054981527,0.00006785649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008659991,0.00014817892,0.00014453991,0.00014745837,0.00028614944,0.000027151122,0.00022241952,0.000060459322,0.000023571278],"category_scores_gemma":[0.0000025939005,0.00015019906,0.000027168646,0.00019276128,0.000100424484,0.00038893922,0.0000036920349,0.00027412435,0.000014946215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007871598,0.00046255405,0.00040719233,0.00029240473,0.00031436284,0.000003984203,0.018454028,0.86037594,0.031794723,0.0025456655,0.000026180169,0.08524427],"study_design_scores_gemma":[0.0007163592,0.00013044801,0.00030154898,0.0004600393,0.0001061204,0.00003109876,0.0012039078,0.89940524,0.09675584,0.0002486864,0.00016874982,0.0004719767],"about_ca_topic_score_codex":0.000057695874,"about_ca_topic_score_gemma":0.0006100746,"teacher_disagreement_score":0.8804767,"about_ca_system_score_codex":0.00007924397,"about_ca_system_score_gemma":0.000009399337,"threshold_uncertainty_score":0.612494},"labels":[],"label_agreement":null},{"id":"W2096985873","doi":"10.1007/s11036-012-0395-x","title":"Energy Conservation via Antenna Scheduling in Fiber-Connected Femto Base Stations","year":2012,"lang":"en","type":"article","venue":"Mobile Networks and Applications","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 British Columbia","funders":"","keywords":"Computer science; Femtocell; Spectral efficiency; Efficient energy use; Beamforming; Energy consumption; Transmission (telecommunications); Scheduling (production processes); Computer network; Broadband; Electronic engineering; Base station; Telecommunications; Electrical engineering; Mathematical optimization","score_opus":0.006729463137659729,"score_gpt":0.2117300577792794,"score_spread":0.20500059464161965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096985873","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":[0.012254106,0.0019191296,0.9847694,0.000020138468,0.00006120772,0.00043388354,0.00000983983,0.000200408,0.0003318764],"genre_scores_gemma":[0.9920922,0.0003114873,0.005119267,0.000055027678,0.00020658877,0.0019097504,0.00019701979,0.000033386055,0.00007529022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992953,0.000020098722,0.00025731284,0.00014125725,0.00004484441,0.00024118248],"domain_scores_gemma":[0.9995453,0.00009720528,0.000046189776,0.0001764827,0.00004755319,0.00008726449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009081986,0.00011939069,0.00012366057,0.00008418524,0.000100108926,0.00002265754,0.000049275954,0.000082728795,0.000028490094],"category_scores_gemma":[0.0000048247584,0.00013579694,0.000017606699,0.00044386435,0.0000236483,0.00025761194,0.000015190555,0.00009429808,0.000008476706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014714687,0.000029613795,0.0014194298,0.000014438477,0.0000067207475,1.17944175e-7,0.000047139376,0.98541987,0.00072051585,0.0015926727,0.00006809475,0.010679925],"study_design_scores_gemma":[0.00020022951,0.000006279913,0.0008971019,0.0000226786,0.000009283659,0.0000036063159,0.00010670987,0.9904543,0.00008444773,0.00013958322,0.00791961,0.0001561623],"about_ca_topic_score_codex":0.00004341112,"about_ca_topic_score_gemma":0.00009512907,"teacher_disagreement_score":0.9798381,"about_ca_system_score_codex":0.000051317704,"about_ca_system_score_gemma":0.000006186207,"threshold_uncertainty_score":0.55376387},"labels":[],"label_agreement":null},{"id":"W2097065570","doi":"10.1109/mwc.2013.6664479","title":"Predictive green wireless access: exploiting mobility and application information","year":2013,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer network; Energy consumption; Overhead (engineering); Base station; Exploit; Cellular network; Wireless network; Wireless; Radio resource management; Key (lock); Efficient energy use; Software deployment; Distributed computing; Telecommunications; Computer security","score_opus":0.015931419811631917,"score_gpt":0.2509711235391829,"score_spread":0.23503970372755095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097065570","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":[0.17589483,0.00025947829,0.8180689,0.00018630331,0.000105678824,0.001336727,0.00003688779,0.0008120422,0.0032991087],"genre_scores_gemma":[0.9935443,0.0006482094,0.003776753,0.000040985156,0.000037348924,0.001749757,0.0001549667,0.000030956864,0.000016769538],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896824,0.00006482659,0.00050169334,0.00014559801,0.000120348945,0.00019929255],"domain_scores_gemma":[0.9981446,0.00015982772,0.00015475825,0.0011940851,0.00025583195,0.00009088404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014422713,0.00017336776,0.00019289336,0.00013001225,0.0002158841,0.00014580334,0.00065064535,0.000111065456,0.000006396746],"category_scores_gemma":[0.00001967901,0.00019523174,0.000036348007,0.00032859787,0.00013057205,0.0033899439,0.00017461873,0.0002280679,0.00006972125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015945841,0.0002541009,0.01043067,0.001607502,0.0002138819,2.171194e-7,0.010428351,0.4225463,0.022619499,0.006995842,0.001243461,0.5236442],"study_design_scores_gemma":[0.00023403074,0.000011042209,0.003908127,0.00009661471,0.000017569393,0.0000036214465,0.00069177855,0.9928518,0.0009887363,0.00062526314,0.0003424805,0.00022895378],"about_ca_topic_score_codex":0.00039426217,"about_ca_topic_score_gemma":0.00008536967,"teacher_disagreement_score":0.8176494,"about_ca_system_score_codex":0.00013511025,"about_ca_system_score_gemma":0.000016635122,"threshold_uncertainty_score":0.7961319},"labels":[],"label_agreement":null},{"id":"W2097242435","doi":"10.1109/isit.2004.1365212","title":"Minimax duality of gaussian vector broadcast channels","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Duality (order theory); Telecommunications link; Mathematical optimization; Minimax; Strong duality; Channel (broadcasting); Mathematics; Covariance matrix; Computer science; Optimization problem; Algorithm; Telecommunications; Discrete mathematics","score_opus":0.011815166173434047,"score_gpt":0.22991467973895802,"score_spread":0.21809951356552398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097242435","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":[0.029191948,0.00017063487,0.9494855,0.000056235407,0.0005060585,0.0001993626,0.000010762434,0.00038373377,0.019995773],"genre_scores_gemma":[0.98501563,0.000010244657,0.01459548,0.000008159546,0.00006243251,0.000007820188,0.000006106719,0.000021374228,0.0002727637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995157,0.0000057836464,0.00019762426,0.000088426204,0.00006561002,0.00012686859],"domain_scores_gemma":[0.99973726,0.000009094546,0.000025884923,0.00015881694,0.000026918351,0.00004204284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045062763,0.000084664935,0.00013100247,0.00004199141,0.000012949086,0.0000059705494,0.000056848163,0.000046630175,0.00006773821],"category_scores_gemma":[0.000010708341,0.00008194348,0.00002904852,0.00012906875,0.000015202198,0.000118759956,0.00001006821,0.0000392973,0.000034562803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027428448,0.000017375476,0.000047516503,0.0000980745,0.0000152265775,0.0000018012456,0.00040501324,0.98449415,0.010927406,0.0033324056,0.000098227334,0.00056006975],"study_design_scores_gemma":[0.00398217,0.00022982074,0.0026978385,0.00041825674,0.000046024383,0.000057750865,0.0011353774,0.08163058,0.9010233,0.0033936675,0.0040396173,0.0013455683],"about_ca_topic_score_codex":0.000038831076,"about_ca_topic_score_gemma":0.000009822146,"teacher_disagreement_score":0.95582366,"about_ca_system_score_codex":0.000057735022,"about_ca_system_score_gemma":0.000008425834,"threshold_uncertainty_score":0.3341558},"labels":[],"label_agreement":null},{"id":"W2097394348","doi":"10.1109/vetecf.2002.1040531","title":"Designing for coverage availability with different data rates - an improved methodology","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Margin (machine learning); Link budget; Shadow (psychology); Shadow mapping; Computer science; Range (aeronautics); Fade; Telecommunications; Engineering","score_opus":0.09191115661390421,"score_gpt":0.31375891983336235,"score_spread":0.22184776321945815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097394348","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":[0.010043241,0.0000596662,0.988404,0.0000036624776,0.0001284258,0.0005571855,0.00002265654,0.00025894167,0.00052224234],"genre_scores_gemma":[0.4036531,0.0000060837842,0.59598964,0.000012984066,0.000018834957,0.0000551882,0.000102004444,0.000034303263,0.00012783309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916726,0.00012467502,0.00018695467,0.0002846437,0.000035488,0.00020096882],"domain_scores_gemma":[0.99892044,0.00033697556,0.00003178801,0.0006103072,0.000045188906,0.000055314875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042961125,0.00014085895,0.00020634707,0.000028477927,0.000044985725,0.000023102823,0.00014687175,0.000058324622,0.000049165643],"category_scores_gemma":[0.00023281622,0.00010780664,0.000012167829,0.00006174738,0.00001711568,0.0003527032,0.000017350967,0.00005949836,0.0000014946086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015054346,0.00011580504,0.004170949,0.00045265487,0.000180766,0.0000017739727,0.00042402995,0.731716,0.25346377,0.0028362358,0.00042604504,0.006061435],"study_design_scores_gemma":[0.0012294996,0.00023194533,0.00015950724,0.000013776143,0.00003986757,0.000009566485,0.00021900411,0.8187957,0.17727637,0.0009333688,0.00070533267,0.00038610186],"about_ca_topic_score_codex":0.000008529173,"about_ca_topic_score_gemma":0.00009180248,"teacher_disagreement_score":0.39360985,"about_ca_system_score_codex":0.000045521327,"about_ca_system_score_gemma":0.000012970721,"threshold_uncertainty_score":0.43962273},"labels":[],"label_agreement":null},{"id":"W2097915928","doi":"10.1109/jsac.2007.070911","title":"Tomlinson-Harashima Precoding for Broadcast Channels with Uncertainty","year":2007,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Telecommunications link; Computer science; Channel state information; Channel (broadcasting); Transmitter; Mathematical optimization; MIMO; Control theory (sociology); Constraint (computer-aided design); Robustness (evolution); Convex optimization; Wireless; Mathematics; Telecommunications; Regular polygon","score_opus":0.029403754219449515,"score_gpt":0.292263319400884,"score_spread":0.2628595651814345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097915928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044576038,0.00059590326,0.94995034,0.00024013722,0.00052646693,0.0007167376,0.000020953432,0.0002868291,0.0030866084],"genre_scores_gemma":[0.96030253,0.0004822398,0.03873558,0.00004397613,0.00019700064,0.00006759526,0.000032902728,0.00006179682,0.0000763706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988044,0.000064595304,0.0004949768,0.00013037145,0.00013698394,0.00036868904],"domain_scores_gemma":[0.9981774,0.00057450857,0.00015125051,0.00059342413,0.0003878813,0.00011555033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000514728,0.00018255768,0.00021985361,0.00035768122,0.00027371343,0.00007981861,0.00050908024,0.00009625624,0.000006576496],"category_scores_gemma":[0.0001333017,0.00017284682,0.000043425818,0.00078147615,0.000036838526,0.00029474776,0.000017341228,0.00057884294,0.000005370987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079238336,0.00008356936,0.0005237386,0.000019375888,0.000049973372,0.0000032451835,0.00052527443,0.9901535,0.001754048,0.000289535,0.00034299042,0.0061755],"study_design_scores_gemma":[0.004603351,0.00059101137,0.0026658056,0.0016456748,0.00007569626,0.0006578168,0.00081321644,0.9485354,0.0120791625,0.0009446531,0.026217112,0.0011711353],"about_ca_topic_score_codex":0.000008200534,"about_ca_topic_score_gemma":0.00032472558,"teacher_disagreement_score":0.9157265,"about_ca_system_score_codex":0.00047456168,"about_ca_system_score_gemma":0.00005913553,"threshold_uncertainty_score":0.7048489},"labels":[],"label_agreement":null},{"id":"W2098061185","doi":"10.1109/tsp.2008.2008542","title":"MIMO Minimum Total MSE Transceiver Design With Imperfect CSI at Both Ends","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"MIMO; Mean squared error; Minimum mean square error; Channel state information; Channel (broadcasting); Transceiver; Control theory (sociology); Computer science; Joint (building); Mathematics; Telecommunications; Statistics; Engineering; Wireless","score_opus":0.01669496514568091,"score_gpt":0.21379491919067617,"score_spread":0.19709995404499525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098061185","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":[0.033905454,0.00031101904,0.96386546,0.000011105635,0.00014323962,0.0003435228,0.000014079107,0.00062708935,0.0007790582],"genre_scores_gemma":[0.9846436,0.00004423875,0.014158915,0.00002257096,0.00006883271,0.00009143028,0.0000038053095,0.00012616083,0.00084044185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985695,0.00004819828,0.00032360802,0.0003616762,0.000277843,0.0004191592],"domain_scores_gemma":[0.9994629,0.00008036343,0.000057450696,0.00018084292,0.0000753335,0.00014309048],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008929072,0.00035750173,0.0002943748,0.00020930819,0.0004958625,0.000038393708,0.0001119107,0.00014487507,0.0001302522],"category_scores_gemma":[9.146393e-7,0.00033600492,0.00009565356,0.00044776904,0.00010153579,0.00063684944,4.467004e-7,0.0003002842,0.000041692623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018395264,0.000058231686,0.000005766007,0.00010975183,0.000048410395,0.00003820811,0.0012867022,0.93031234,0.058193848,3.321404e-7,0.000058555746,0.009703881],"study_design_scores_gemma":[0.0018862032,0.00044432873,0.000034549852,0.00032980775,0.00012385365,0.0008232,0.00015075682,0.6102933,0.38496205,0.000006885618,0.00011137042,0.00083365844],"about_ca_topic_score_codex":0.0000050967674,"about_ca_topic_score_gemma":0.000009935758,"teacher_disagreement_score":0.95073813,"about_ca_system_score_codex":0.0002562458,"about_ca_system_score_gemma":0.00007685395,"threshold_uncertainty_score":0.9999092},"labels":[],"label_agreement":null},{"id":"W2098319539","doi":"10.1109/icc.2006.255326","title":"Capacity of Fading Channels Under Spectrum-Sharing Constraints","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Licensee; Fading; Interference (communication); Computer science; Channel (broadcasting); Fading distribution; Channel state information; Telecommunications; Channel capacity; Computer network; Electronic engineering; Wireless; Engineering; License","score_opus":0.08893171150074693,"score_gpt":0.3039965116319894,"score_spread":0.21506480013124246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098319539","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":[0.03627699,0.000074002,0.6354275,0.0009903425,0.0012351872,0.00034330925,0.00020991871,0.00037640278,0.32506636],"genre_scores_gemma":[0.9934934,0.00008888848,0.005761866,0.000022420802,0.00009183786,0.000037207195,0.000100446334,0.00002474513,0.00037922646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990722,0.000027084994,0.00041430022,0.00015323806,0.00017267212,0.00016050637],"domain_scores_gemma":[0.99888104,0.0000846906,0.0001274122,0.0006791722,0.0001934236,0.000034267618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011365586,0.00014719191,0.00016287254,0.00019372354,0.00008486135,0.000047817528,0.00081555964,0.00007301697,0.00018855989],"category_scores_gemma":[0.000018008779,0.00017194562,0.000053920772,0.00014970145,0.00017959472,0.00021063896,0.000060955437,0.00021387804,0.000052827654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029172638,0.000062591025,0.00034898942,0.000012499383,0.000042358963,3.788212e-7,0.00010648592,0.56345195,0.013749581,0.42167896,0.00023378318,0.00030953137],"study_design_scores_gemma":[0.0005164837,0.00002435637,0.0007875631,0.000303372,0.00001598206,0.000015506434,0.00019358275,0.93833315,0.021979075,0.03684416,0.0006089677,0.0003777771],"about_ca_topic_score_codex":0.00016112917,"about_ca_topic_score_gemma":0.0002046614,"teacher_disagreement_score":0.9572164,"about_ca_system_score_codex":0.00017355723,"about_ca_system_score_gemma":0.000022215201,"threshold_uncertainty_score":0.70117384},"labels":[],"label_agreement":null},{"id":"W2098919979","doi":"10.1109/icc.2004.1312557","title":"Joint multiuser transmit-receive optimization using linear processing","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Computer science; Minimum mean square error; Multiuser detection; Transmitter power output; MIMO; Joint (building); Optimization problem; Constraint (computer-aided design); Mathematical optimization; Algorithm; Iterative method; Linear programming; Mathematics; Code division multiple access; Telecommunications; Statistics; Engineering; Channel (broadcasting); Transmitter","score_opus":0.019940807018335265,"score_gpt":0.2390671899848617,"score_spread":0.21912638296652645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098919979","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":[0.005746072,0.00015675303,0.99138254,0.000024730936,0.00016318832,0.00026104852,0.0000021401606,0.00070566515,0.001557854],"genre_scores_gemma":[0.45943102,0.000019284163,0.5403438,0.000023571922,0.00006982897,0.000007966171,0.0000104813635,0.000053110787,0.000040929106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999246,0.00000794546,0.00027514505,0.00016386871,0.00009844042,0.00020858369],"domain_scores_gemma":[0.99968773,0.0000049736045,0.000036196514,0.000121391124,0.000088862216,0.00006086118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053776806,0.00015760743,0.00015119954,0.0001005646,0.0000747115,0.000029144634,0.000055377783,0.000089019755,0.0000414078],"category_scores_gemma":[0.0000134237,0.00015808539,0.00003617853,0.00025959994,0.000016346137,0.00050924404,0.0000064195597,0.0000972187,0.000014598275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019456372,0.00001061036,0.000010517339,0.00006661305,0.000007472896,0.0000017346509,0.0003975457,0.9932723,0.0052510677,0.000032955995,0.000003833829,0.0009434184],"study_design_scores_gemma":[0.00053807604,0.000008235807,0.00000794163,0.00010596411,0.000011708657,0.000011015788,0.00010306871,0.9821738,0.01676548,0.000032222997,0.000042745545,0.00019973285],"about_ca_topic_score_codex":0.00003122577,"about_ca_topic_score_gemma":0.000013990313,"teacher_disagreement_score":0.45368496,"about_ca_system_score_codex":0.00020190122,"about_ca_system_score_gemma":0.00002900461,"threshold_uncertainty_score":0.6446535},"labels":[],"label_agreement":null},{"id":"W2099120010","doi":"10.1109/bsc.2008.4563236","title":"Joint optimization for multiuser MIMO uplink systems with imperfect CSI","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Telecommunications link; MIMO; Optimization problem; Mathematical optimization; Computer science; Base station; Channel state information; Joint (building); Constraint (computer-aided design); Precoding; Channel (broadcasting); Transmitter power output; Control theory (sociology); Mathematics; Wireless; Telecommunications; Transmitter; Engineering","score_opus":0.015628134857620688,"score_gpt":0.20362957258026407,"score_spread":0.18800143772264338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099120010","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":[0.003772723,0.0002267383,0.99188274,0.000010396226,0.00035099505,0.0010328338,0.0000062157396,0.000800004,0.0019173434],"genre_scores_gemma":[0.7301234,0.00008428195,0.26804456,0.000013877477,0.00014779638,0.00030718275,0.000059857368,0.0001137805,0.0011052714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916184,0.000011180249,0.00028646854,0.00020279981,0.00009169456,0.0002460174],"domain_scores_gemma":[0.9994525,0.000039569386,0.0000498798,0.00023990555,0.00014799362,0.00007018559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007548558,0.00019123335,0.00023327637,0.00009471522,0.00010197487,0.000024386272,0.00006630911,0.000093925075,0.000023302022],"category_scores_gemma":[0.000022649518,0.00015819499,0.000042552998,0.00016665916,0.000019743913,0.00029071767,0.000008749021,0.000063705076,0.000016223323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011181599,0.000009424768,0.00012110543,0.00012547387,0.000029684727,0.0000022018341,0.00012018925,0.99795276,0.00062811776,0.00010899621,0.00080817926,0.00008269444],"study_design_scores_gemma":[0.0007985366,0.00006441458,0.00002245908,0.000050426086,0.00001285255,0.000053713986,0.000062295454,0.99605435,0.0022037514,0.0000014381743,0.00043835724,0.00023741282],"about_ca_topic_score_codex":0.000021990356,"about_ca_topic_score_gemma":0.0000060501006,"teacher_disagreement_score":0.72635067,"about_ca_system_score_codex":0.00010566799,"about_ca_system_score_gemma":0.000016671947,"threshold_uncertainty_score":0.6451005},"labels":[],"label_agreement":null},{"id":"W2099135053","doi":"10.1109/ccece.2003.1226192","title":"The capacity of multipath MIMO channels with uninformed transmitters","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"MIMO; Transmitter; Multipath propagation; Channel capacity; Computer science; Channel (broadcasting); Antenna (radio); Power (physics); Topology (electrical circuits); Electronic engineering; SIGNAL (programming language); Telecommunications; Electrical engineering; Physics; Engineering","score_opus":0.0084251916289172,"score_gpt":0.18464624118758347,"score_spread":0.17622104955866627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099135053","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":[0.08796539,0.000033327953,0.9084728,0.000056227847,0.00011736777,0.00022624423,0.0000026013229,0.00016345968,0.0029626223],"genre_scores_gemma":[0.9840824,0.000021496959,0.015770007,0.000010838515,0.00001346238,0.00001534769,0.0000017119563,0.000016388238,0.000068346526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996,0.0000036282408,0.00013967496,0.000053301275,0.00007058497,0.00013280856],"domain_scores_gemma":[0.9997579,0.000022327005,0.00002252413,0.00013535835,0.000032765085,0.000029141205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004674573,0.00008091429,0.000086645305,0.000024452012,0.000038140555,0.0000077220775,0.00007343918,0.00002836299,0.000003102052],"category_scores_gemma":[0.0000054035245,0.00004901056,0.00001957723,0.00011501408,0.00004227328,0.00012892597,0.0000025459547,0.000049996128,0.00000339235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012777464,0.0000035621972,0.000018904248,0.000024475536,0.000016307169,3.5342373e-7,0.0008207803,0.9968463,0.00093155523,0.0008804326,0.000009323579,0.0004352335],"study_design_scores_gemma":[0.007709719,0.0008413359,0.0006603882,0.00046488072,0.00006301797,0.000055538098,0.0042018755,0.45890385,0.5216974,0.0012825249,0.0029688827,0.0011505765],"about_ca_topic_score_codex":0.000045920835,"about_ca_topic_score_gemma":0.00020456006,"teacher_disagreement_score":0.89611703,"about_ca_system_score_codex":0.000048570775,"about_ca_system_score_gemma":0.000009625265,"threshold_uncertainty_score":0.19985926},"labels":[],"label_agreement":null},{"id":"W2099435866","doi":"10.1109/scis.2009.4927012","title":"Estimation of distribution algorithm for scheduling in uplink multiuser wireless communication system","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Telecommunications link; Computer science; Scheduling (production processes); Computational complexity theory; MIMO; Wireless; Fair-share scheduling; Estimation of distribution algorithm; Algorithm; Job shop scheduling; Distributed computing; Real-time computing; Mathematical optimization; Computer network; Mathematics; Telecommunications","score_opus":0.008276675647069057,"score_gpt":0.24279712002930712,"score_spread":0.23452044438223807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099435866","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":[0.018813096,0.00011227029,0.9801361,0.0000139553995,0.000060615686,0.00048061897,0.000014511566,0.00023838115,0.00013044642],"genre_scores_gemma":[0.67931443,0.000011225696,0.32038364,0.0000014361382,0.000008779645,0.00003102876,0.00023421472,0.000009237722,0.000006001348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999374,0.000015097062,0.00035930265,0.0000874016,0.000053334483,0.00011090699],"domain_scores_gemma":[0.99958736,0.00005021888,0.00006912994,0.00019853923,0.0000752578,0.000019487803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001725933,0.00008638377,0.00015581652,0.00006019113,0.000029326467,0.000009685408,0.00007941778,0.00008042886,7.193493e-7],"category_scores_gemma":[0.000020164362,0.0000942068,0.00002583412,0.00017434395,0.000007678419,0.0002425277,0.000005850862,0.00005612527,0.0000017969905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000239471,0.0000123682,0.000015374215,0.000083908046,0.000003061288,5.9086656e-8,0.00006132904,0.8608348,0.00073918083,0.0024222669,0.0000058494343,0.13581945],"study_design_scores_gemma":[0.00045769883,0.000014831241,0.00016830435,0.00020180295,0.0000053981485,0.0000011162771,0.0001406312,0.9876934,0.011141688,0.00008048951,0.0000060923667,0.00008854001],"about_ca_topic_score_codex":0.000012801585,"about_ca_topic_score_gemma":0.0000055038277,"teacher_disagreement_score":0.6605013,"about_ca_system_score_codex":0.00019924634,"about_ca_system_score_gemma":0.000006037135,"threshold_uncertainty_score":0.38416418},"labels":[],"label_agreement":null},{"id":"W2099468993","doi":"10.1109/tsp.2010.2056687","title":"MIMO Relaying Broadcast Channels With Linear Precoding and Quantized Channel State Information Feedback","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Precoding; Channel state information; MIMO; Relay; Computer science; Zero-forcing precoding; Quantization (signal processing); Transmitter power output; Channel (broadcasting); Relay channel; Control theory (sociology); Computer network; Topology (electrical circuits); Telecommunications; Wireless; Transmitter; Power (physics); Engineering; Algorithm; Electrical engineering; Physics","score_opus":0.011176086336404864,"score_gpt":0.21942843342265198,"score_spread":0.20825234708624712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099468993","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":[0.056824856,0.000055636967,0.9416789,0.000020782394,0.00034438042,0.00032439636,0.000012698485,0.00047469177,0.00026370512],"genre_scores_gemma":[0.9858336,0.000036876674,0.013867022,0.000023518374,0.00006150807,0.000055922254,0.000006257012,0.00005758758,0.00005770172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897796,0.000015471176,0.00034977676,0.00019159478,0.00017351915,0.00029168391],"domain_scores_gemma":[0.9994913,0.000045043045,0.000104725215,0.00012110025,0.00013083674,0.00010699792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015360554,0.00024492308,0.00020995957,0.0002611547,0.0003262722,0.00016761095,0.0000771528,0.000113667054,0.000015772432],"category_scores_gemma":[0.0000033726747,0.00023438354,0.000030739073,0.00034166532,0.00004986691,0.0020147995,0.000001013501,0.0004985222,0.000019124544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006924676,0.000014276046,0.0000037566952,0.00025456044,0.00002080707,0.0000012638478,0.0017848737,0.91391325,0.011530926,0.0000016810924,0.0000030724027,0.072402276],"study_design_scores_gemma":[0.0008762547,0.00007099711,0.000006340831,0.0003264148,0.000027471624,0.000055134762,0.00035388191,0.94143313,0.056361534,0.000025531768,0.00013005844,0.00033325923],"about_ca_topic_score_codex":0.00000894086,"about_ca_topic_score_gemma":0.000015905836,"teacher_disagreement_score":0.9290087,"about_ca_system_score_codex":0.00004244874,"about_ca_system_score_gemma":0.000035373025,"threshold_uncertainty_score":0.9557883},"labels":[],"label_agreement":null},{"id":"W2100008807","doi":"10.1109/glocom.2007.280","title":"On Finite-SNR Diversity-Multiplexing Tradeoff","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fading; Rayleigh fading; Mathematics; Maximal-ratio combining; Multiplexing; MIMO; Interpolation (computer graphics); Asymptotic analysis; Channel (broadcasting); Topology (electrical circuits); Computer science; Telecommunications; Mathematical analysis; Combinatorics","score_opus":0.015373615529711213,"score_gpt":0.21576122632135894,"score_spread":0.20038761079164774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100008807","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":[0.005593041,0.000022327205,0.9168367,0.000010311924,0.00027618124,0.00009253338,0.0000022985666,0.0005516283,0.076614976],"genre_scores_gemma":[0.9861284,0.0000045173915,0.012790769,0.000060236205,0.000057818543,0.0000010764034,0.000006910866,0.000020085812,0.0009301776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951684,0.000004031393,0.00011809498,0.000095709074,0.00008293701,0.00018240594],"domain_scores_gemma":[0.99965596,0.0001497048,0.000012540399,0.00011633294,0.000013378688,0.000052057294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009793806,0.0000875232,0.00007783606,0.00008847105,0.00008113981,0.000008180689,0.00007225089,0.000053203432,0.00008222087],"category_scores_gemma":[0.00003827854,0.00008969887,0.000026133948,0.00012617408,0.000007666781,0.000116711475,0.000027251297,0.000081591315,0.00009391362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000057532707,0.000007524836,0.00027176595,0.000013448835,0.000008062149,0.0000063329044,0.00023585487,0.9941173,0.0007373756,0.002117599,0.00078634423,0.0016926331],"study_design_scores_gemma":[0.0015689298,0.00009646823,0.0014746235,0.00009316557,0.00001489827,0.000006795322,0.00064633397,0.9502496,0.033320423,0.001042085,0.010686808,0.0007998449],"about_ca_topic_score_codex":0.000006545413,"about_ca_topic_score_gemma":0.000020996697,"teacher_disagreement_score":0.9805354,"about_ca_system_score_codex":0.00007369976,"about_ca_system_score_gemma":0.0000014301701,"threshold_uncertainty_score":0.36578137},"labels":[],"label_agreement":null},{"id":"W2100245203","doi":"10.1109/glocom.2005.1578204","title":"Analysis of the outage probability for spatially correlated MIMO channels with receive antenna selection","year":2005,"lang":"en","type":"article","venue":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Fading; Channel state information; Transmitter; Spatial correlation; Computer science; Antenna (radio); Channel (broadcasting); Signal-to-noise ratio (imaging); Selection (genetic algorithm); Antenna diversity; Topology (electrical circuits); Algorithm; Wireless; Telecommunications; Mathematics; Machine learning","score_opus":0.01900970044103999,"score_gpt":0.2494240987641517,"score_spread":0.2304143983231117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100245203","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":[0.056044716,0.0002668987,0.93464756,0.0007463064,0.00051379704,0.0024620353,0.0007121293,0.0005365855,0.0040699802],"genre_scores_gemma":[0.9534208,0.000162048,0.045515012,0.00004432803,0.000049432263,0.00027871138,0.00024122917,0.000033253786,0.0002551409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978654,0.00018213662,0.00084903144,0.00038381276,0.00022691034,0.00049272465],"domain_scores_gemma":[0.9971657,0.00013272504,0.00040603327,0.0013735505,0.000806366,0.00011562829],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033085482,0.000363937,0.00060311815,0.00020549251,0.00031379538,0.000073180665,0.00094147946,0.00023124552,0.00007704946],"category_scores_gemma":[0.00010420461,0.00030890832,0.00023735221,0.0022276286,0.00018236885,0.0003698244,0.00007290662,0.00028917688,0.000012766924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052781288,0.00017637457,0.00505404,0.00004431624,0.00084825855,1.2419886e-7,0.0002428392,0.9867558,0.00050287746,0.0012348841,0.00081255316,0.004275175],"study_design_scores_gemma":[0.00080351945,0.00008884235,0.0038336045,0.00009516347,0.0007456505,0.00001226385,0.000102628204,0.98888296,0.00076724315,0.00034836394,0.0039058537,0.00041393464],"about_ca_topic_score_codex":0.00024186962,"about_ca_topic_score_gemma":0.012482437,"teacher_disagreement_score":0.8973761,"about_ca_system_score_codex":0.0006638038,"about_ca_system_score_gemma":0.0002068822,"threshold_uncertainty_score":0.9999363},"labels":[],"label_agreement":null},{"id":"W2100482594","doi":"10.1109/pimrc.1995.477309","title":"Polling-based multiple access for indoor broadband wireless systems","year":2002,"lang":"en","type":"article","venue":"","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":"Carleton University","funders":"","keywords":"Polling; Wireless broadband; Computer science; Broadband; Wireless; Computer network; Telecommunications; Broadband networks; Wireless network","score_opus":0.02803696856952647,"score_gpt":0.2402051325093785,"score_spread":0.21216816393985202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100482594","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":[0.00783078,0.00047712267,0.9881012,0.000021923839,0.000599968,0.000800927,0.000027144244,0.0006825169,0.0014584556],"genre_scores_gemma":[0.99419314,0.000013804327,0.0047060014,0.000029232973,0.0001235907,0.0002373883,0.000020167523,0.00006716589,0.00060950057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922127,0.000010413118,0.00026931652,0.00016759656,0.0000842212,0.0002471975],"domain_scores_gemma":[0.99948996,0.0001238553,0.000041885636,0.00020722841,0.0000695643,0.00006752755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058125253,0.0001532545,0.00019619918,0.00009561134,0.00006139736,0.000095099844,0.00016190429,0.00009301888,0.000041871244],"category_scores_gemma":[0.0000288627,0.00014916409,0.000045951158,0.00016939885,0.000009121751,0.00027837203,0.0000098236505,0.000056834735,0.00002597461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005030501,0.00001564081,0.0007305849,0.00019046584,0.000015793492,7.081575e-7,0.000033823562,0.995159,0.0013508219,0.00021677102,0.0013057928,0.00097559515],"study_design_scores_gemma":[0.0007569783,0.000015075657,0.000018424918,0.000049520488,0.000006947887,0.0000015930796,0.00002511911,0.98705834,0.009503454,0.000007005864,0.0023617381,0.00019577665],"about_ca_topic_score_codex":0.000026004403,"about_ca_topic_score_gemma":0.00002387263,"teacher_disagreement_score":0.9863624,"about_ca_system_score_codex":0.00007524753,"about_ca_system_score_gemma":0.0000041223943,"threshold_uncertainty_score":0.6082735},"labels":[],"label_agreement":null},{"id":"W2100760407","doi":"10.1109/lawp.2007.909964","title":"Analysis of a MIMO Outdoor Channel With Hybrid EM-Based Modeling","year":2007,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Microcell; MIMO; Electronic engineering; Channel (broadcasting); Multipath propagation; Antenna (radio); Computer science; Telecommunications; Engineering","score_opus":0.009274602104877995,"score_gpt":0.20817736124732358,"score_spread":0.1989027591424456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100760407","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":[0.4774715,0.000026131442,0.52222186,0.000040305647,0.000046502228,0.00011340137,0.0000057013917,0.000065358836,0.000009251472],"genre_scores_gemma":[0.9976961,0.0000135141445,0.0020100852,0.0001542001,0.00004034913,0.0000139171525,0.000034144647,0.00003265903,0.000005044538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991101,0.00001300094,0.00032621805,0.00019418896,0.0001503321,0.00020615754],"domain_scores_gemma":[0.9995585,0.00002541067,0.00009534798,0.00015631536,0.000107983695,0.000056447578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001849073,0.00015519618,0.00027751643,0.00041877225,0.000050065566,0.000021553351,0.00005880855,0.000036628488,0.0000020340726],"category_scores_gemma":[0.000004500856,0.0001381668,0.000053923923,0.00053967535,0.00003488488,0.00018897907,0.000004071562,0.000078635676,7.617643e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003482847,0.000010806961,0.0004402071,0.00008529091,0.0001619063,0.000008191076,0.00024525952,0.9329834,0.06512422,0.000007904457,0.000007289469,0.0008907132],"study_design_scores_gemma":[0.00036624388,0.000023875775,0.00020861054,0.0000838724,0.0001583174,0.0000027494102,0.00015974669,0.9772385,0.021581393,0.000002221257,0.000001645903,0.00017285855],"about_ca_topic_score_codex":0.000025783678,"about_ca_topic_score_gemma":0.000057206715,"teacher_disagreement_score":0.5202246,"about_ca_system_score_codex":0.00003703111,"about_ca_system_score_gemma":0.000007647242,"threshold_uncertainty_score":0.5634278},"labels":[],"label_agreement":null},{"id":"W2100961961","doi":"10.1109/wcnc.2005.1424531","title":"On the asymptotic behavior of the outage probability forMIMO systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mutual information; Selection (genetic algorithm); Outage probability; Gaussian; Antenna (radio); Computer science; Probability distribution; Probability density function; Cumulative distribution function; Topology (electrical circuits); Random variable; Applied mathematics; Mathematics; Mathematical optimization; Fading; Algorithm; Statistics; Telecommunications; Decoding methods; Physics; Artificial intelligence; Combinatorics","score_opus":0.011987948779213164,"score_gpt":0.2067332515242702,"score_spread":0.19474530274505703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100961961","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":[0.728145,0.00019151837,0.22553325,0.0003272093,0.0010980272,0.0039705895,0.000023842833,0.00059843075,0.04011211],"genre_scores_gemma":[0.99855745,0.0000016261321,0.000669008,0.000016238115,0.00003952908,0.00011761076,8.305769e-7,0.000018864685,0.00057885033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938446,0.000030385696,0.00024911747,0.00008832024,0.00012200169,0.00012574042],"domain_scores_gemma":[0.9993722,0.000080377904,0.000044542212,0.00044727803,0.000036688878,0.000018905215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016503254,0.000095670846,0.00010831429,0.000016953198,0.000044778346,0.000012623542,0.00017673773,0.00004574281,0.00003803891],"category_scores_gemma":[0.00004863304,0.000048486723,0.000049239447,0.00011355893,0.000027315502,0.00009276024,0.000021113752,0.00008792589,0.000026104872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012288305,0.0000259132,0.00041215238,0.000059892554,0.000007622377,7.144929e-8,0.000114487884,0.9708841,0.0009884994,0.026822608,0.00019273632,0.0004907232],"study_design_scores_gemma":[0.00057072,0.000097435084,0.0039266003,0.00028587136,0.00009178113,0.00002008805,0.00060910074,0.9461887,0.044294275,0.0013465246,0.0020113548,0.0005575374],"about_ca_topic_score_codex":0.000011345664,"about_ca_topic_score_gemma":0.000032712833,"teacher_disagreement_score":0.27041242,"about_ca_system_score_codex":0.000100173944,"about_ca_system_score_gemma":0.0000070111573,"threshold_uncertainty_score":0.19772312},"labels":[],"label_agreement":null},{"id":"W2101028669","doi":"10.1109/bsc.2010.5473005","title":"High resolution quantization codebook design for multiple-antenna fading channels","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Linde–Buzo–Gray algorithm; Quantization (signal processing); Fading; Vector quantization; Algorithm; Mathematics; Asymptotically optimal algorithm; Topology (electrical circuits); Computer science; Combinatorics; Decoding methods","score_opus":0.026323828470429994,"score_gpt":0.23844476076910784,"score_spread":0.21212093229867784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101028669","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":[0.0028590327,0.000025600546,0.99367344,0.000022760156,0.001588452,0.00085598876,0.0000071089894,0.0007491544,0.00021846178],"genre_scores_gemma":[0.7432603,0.000008060336,0.2559188,0.00000965943,0.00017612816,0.00012180056,0.000041749045,0.00004921238,0.00041424364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925935,0.000014737847,0.0002466958,0.00017242806,0.000070527356,0.00023625664],"domain_scores_gemma":[0.99946684,0.00014870142,0.00004513772,0.00017688048,0.00011216405,0.000050267266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019468949,0.00013933315,0.00014285717,0.00010658362,0.00009553187,0.00003357233,0.000082872546,0.00012700864,0.000021589367],"category_scores_gemma":[0.00014133463,0.00014252425,0.000035316592,0.00011554693,0.000014518898,0.00030397784,0.0000092284345,0.000095290525,0.000024087276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011939687,0.000005053138,0.000021798549,0.00003177581,0.000008989276,2.144182e-7,0.000079561236,0.817716,0.17785558,0.0034453825,0.00038866667,0.0004350168],"study_design_scores_gemma":[0.00046983248,0.000027859463,0.000012918749,0.000020093095,0.000008083083,0.0000033039728,0.00002369406,0.95458305,0.043798015,0.00041337486,0.0004671694,0.00017262003],"about_ca_topic_score_codex":0.000014870364,"about_ca_topic_score_gemma":0.000037398844,"teacher_disagreement_score":0.7404013,"about_ca_system_score_codex":0.000046935453,"about_ca_system_score_gemma":0.000008349746,"threshold_uncertainty_score":0.581197},"labels":[],"label_agreement":null},{"id":"W2101395056","doi":"10.1109/wcnc.2009.4917948","title":"Resource Allocation for OFDM-Based Cognitive Radio Multicast Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"","keywords":"Subcarrier; Cognitive radio; Multicast; Orthogonal frequency-division multiplexing; Computer science; Unicast; Maximization; Bandwidth (computing); Optimization problem; Interference (communication); Mathematical optimization; Resource allocation; Computer network; Algorithm; Telecommunications; Mathematics; Wireless","score_opus":0.009534982859300023,"score_gpt":0.23210146031851897,"score_spread":0.22256647745921895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101395056","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":[0.00046037257,0.00010871051,0.9948912,0.000076088596,0.000073913194,0.00053357735,0.0000039385077,0.00044338682,0.003408775],"genre_scores_gemma":[0.9608907,0.0000035756195,0.038409963,0.00015728397,0.00012392105,0.000047989382,0.00010992112,0.000026365777,0.00023028518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994866,0.0000107138685,0.00016138195,0.00012437766,0.000047875492,0.00016902725],"domain_scores_gemma":[0.9996411,0.000115161965,0.000024092311,0.00010255547,0.00007157185,0.000045513756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071749324,0.00010309429,0.00010544298,0.000047276517,0.000040306928,0.000016405751,0.000045456713,0.00006930829,0.0000110262445],"category_scores_gemma":[0.00005257269,0.00010726193,0.000032502823,0.00011297181,0.0000094702855,0.00009337211,0.0000019385661,0.000052448642,0.000007032634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019336263,0.000011585276,0.000009241814,0.000011411578,0.0000070492797,3.0396026e-7,0.000039226357,0.9863165,0.000347591,0.00030117464,0.0007026886,0.012233869],"study_design_scores_gemma":[0.00076007674,0.000045412762,0.00010382575,0.0000404959,0.000012930735,0.0000010041587,0.000060016617,0.99544823,0.0024053673,0.00002215376,0.00096801494,0.00013247182],"about_ca_topic_score_codex":0.0000010902047,"about_ca_topic_score_gemma":0.0000036000201,"teacher_disagreement_score":0.9604303,"about_ca_system_score_codex":0.0000546727,"about_ca_system_score_gemma":0.0000054057064,"threshold_uncertainty_score":0.43740144},"labels":[],"label_agreement":null},{"id":"W2101476314","doi":"10.1109/icc.2010.5501879","title":"The Cross Rate: Linear Processing for the Two User Broadcast Channel","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Transpose; Computer science; Matrix decomposition; Algorithm; Matrix (chemical analysis); Channel (broadcasting); Mathematical optimization; Signal-to-noise ratio (imaging); Computational complexity theory; Optimization problem; MIMO; Mathematics; Eigenvalues and eigenvectors; Telecommunications","score_opus":0.011738172919142077,"score_gpt":0.27871620702850725,"score_spread":0.26697803410936516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101476314","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":[0.0031729448,0.000270875,0.9933768,0.0001757676,0.0010159641,0.00048177043,0.0000037684135,0.00028923736,0.0012128784],"genre_scores_gemma":[0.9795972,0.000029753937,0.013257865,0.000074486954,0.0006849161,0.00021932865,0.000005145422,0.00007428861,0.0060570193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947846,0.000005894155,0.00015376644,0.000100399644,0.000051038187,0.00021042312],"domain_scores_gemma":[0.999442,0.00016840805,0.00002953131,0.0002248021,0.00010819661,0.000027065216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025170163,0.000100571866,0.000067235414,0.000012542888,0.00037384036,0.00014026686,0.00017477566,0.00004609421,0.000010025108],"category_scores_gemma":[0.00008119777,0.000053487285,0.000030352967,0.00009792522,0.000044853754,0.0001967271,0.00001871068,0.00014520012,0.00001770797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009087107,0.0000038826643,0.00003256501,0.000034368848,0.000012477669,1.554246e-7,0.00024250017,0.9798799,0.006873624,0.0007634077,0.00081462035,0.011333375],"study_design_scores_gemma":[0.00027276567,0.0000045388824,0.00003545757,0.000007404678,0.0000048487586,0.0000036644674,0.00010378428,0.93763965,0.008663315,0.000104248094,0.053065702,0.00009459074],"about_ca_topic_score_codex":0.000007273968,"about_ca_topic_score_gemma":0.00010081389,"teacher_disagreement_score":0.98011893,"about_ca_system_score_codex":0.000012020684,"about_ca_system_score_gemma":0.000011564688,"threshold_uncertainty_score":0.28753155},"labels":[],"label_agreement":null},{"id":"W2101724000","doi":"10.1109/icc.2011.5963043","title":"A Near-Capacity GDFE-Like Precoder with Reduced Feedback Overhead for MIMO Broadcast Channel","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Precoding; MIMO; Telecommunications link; Computer science; Overhead (engineering); Channel (broadcasting); Generalization; Multi-user MIMO; Computational complexity theory; Control theory (sociology); Computer engineering; Algorithm; Computer network; Mathematics; Artificial intelligence","score_opus":0.03435669714263219,"score_gpt":0.21179650294099056,"score_spread":0.17743980579835839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101724000","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":[0.039390463,0.00007311037,0.9349364,0.000013107724,0.00046162918,0.0009740873,0.000024899953,0.00070343615,0.023422861],"genre_scores_gemma":[0.7480768,0.000011495601,0.24833198,0.000041845942,0.000103291364,0.00023479512,0.000020442,0.00011994445,0.0030593919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990428,0.000011323637,0.00023642878,0.00026242703,0.00009154008,0.00035549732],"domain_scores_gemma":[0.9994036,0.000025174963,0.000049543283,0.0003132787,0.00010410925,0.00010429882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007602637,0.00022813109,0.00022821449,0.000050560146,0.00007814408,0.000031609597,0.000118712356,0.000112467016,0.00012140049],"category_scores_gemma":[0.000015166389,0.00019972333,0.000051048934,0.00015752536,0.000039870705,0.00036939504,0.00001623612,0.00009799038,0.00005354599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008883681,0.00042767866,0.0006462267,0.0016545962,0.0007590538,0.000009400325,0.02088996,0.9109095,0.022217343,0.0025412163,0.026309649,0.0127470065],"study_design_scores_gemma":[0.0040016174,0.00045913397,0.0011163815,0.00029462986,0.00009792425,0.00008294913,0.00064303045,0.92190063,0.060505,0.00087301515,0.008463992,0.0015617278],"about_ca_topic_score_codex":0.000061028964,"about_ca_topic_score_gemma":0.000085467895,"teacher_disagreement_score":0.70868635,"about_ca_system_score_codex":0.00007460752,"about_ca_system_score_gemma":0.00001756908,"threshold_uncertainty_score":0.8144481},"labels":[],"label_agreement":null},{"id":"W2101801661","doi":"10.1109/wcnc.2004.1311373","title":"On the performance of spatial multiplexing MIMO cellular systems with adaptive modulation and scheduling","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"MIMO; Transmitter; Channel state information; Computer science; Singular value decomposition; Multiplexing; Link adaptation; Spectral efficiency; Spatial multiplexing; Scheduling (production processes); Minimum mean square error; Channel (broadcasting); Fading; Control theory (sociology); Electronic engineering; Algorithm; Telecommunications; Mathematics; Wireless; Engineering; Statistics; Mathematical optimization","score_opus":0.00936487862865177,"score_gpt":0.17854522478360635,"score_spread":0.1691803461549546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101801661","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":[0.4635546,0.000047501602,0.5358789,0.0000035288622,0.000042311032,0.00017709438,8.824505e-7,0.00004990319,0.00024530702],"genre_scores_gemma":[0.9844425,0.0000080468235,0.015463825,0.000002484916,0.0000317256,0.000015569785,0.0000029581324,0.000020870584,0.0000120626755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995572,0.000009879179,0.00014805171,0.00009533551,0.00009472161,0.000094793795],"domain_scores_gemma":[0.9997342,0.000039019633,0.00004638165,0.000116952564,0.00004421926,0.000019190365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007447624,0.000095039875,0.00010258182,0.000041058356,0.00005169027,0.000011933815,0.000037040423,0.00003506264,0.0000018665692],"category_scores_gemma":[0.000008941757,0.00006353038,0.000009246891,0.000077763034,0.000022069657,0.0001405027,0.0000069151893,0.00006619731,0.000002098184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001499304,0.000003888141,0.00019980961,0.00005447271,0.000012353406,3.1107862e-7,0.00020468616,0.9871925,0.009638921,0.002541284,1.8284449e-7,0.00013659215],"study_design_scores_gemma":[0.00033249534,0.00007698415,0.00017994776,0.00021540943,0.0000041369835,0.000002117769,0.00021847406,0.9737836,0.025084436,0.000019622548,9.734844e-7,0.00008180886],"about_ca_topic_score_codex":0.00009940564,"about_ca_topic_score_gemma":0.000015955138,"teacher_disagreement_score":0.52088785,"about_ca_system_score_codex":0.0000498244,"about_ca_system_score_gemma":0.000006398484,"threshold_uncertainty_score":0.25906938},"labels":[],"label_agreement":null},{"id":"W2101982544","doi":"10.1109/vetecs.2008.588","title":"Simultaneous Feedback Reduction and Sum Rate Maximization in Block-Diagonalized Space-Division Multiplexing","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Multiplexing; Maximization; Resource allocation; Channel state information; Transmission (telecommunications); Selection (genetic algorithm); MIMO; Mathematical optimization; Flexibility (engineering); Block (permutation group theory); Reduction (mathematics); Channel (broadcasting); Computer network; Wireless; Telecommunications; Mathematics; Statistics","score_opus":0.010917248316932145,"score_gpt":0.2152866616379353,"score_spread":0.20436941332100317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101982544","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":[0.5311449,0.00036366604,0.46573016,0.0000511524,0.00037604084,0.0005424956,0.000004013293,0.0006285028,0.0011590548],"genre_scores_gemma":[0.97847605,0.00045293808,0.020359062,0.0000070278415,0.000053092845,0.000016188322,0.000030736774,0.000048384023,0.0005565314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991091,0.00004394832,0.0003038467,0.00023395733,0.00009266135,0.00021649261],"domain_scores_gemma":[0.99959135,0.00009450235,0.00004678944,0.00014570262,0.00005985633,0.000061790735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011087755,0.00017297058,0.00019363052,0.00017961017,0.000080716534,0.00002004874,0.000045143806,0.00010657644,0.000023975948],"category_scores_gemma":[0.00012621266,0.00018410994,0.000021327047,0.00031339467,0.000031873595,0.00032031038,0.000020706724,0.00011011373,0.000017144925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017256441,0.000012348247,0.0006052415,0.000033686858,0.0000058734754,0.000013489989,0.00038899708,0.97756684,0.020453246,0.00003614614,0.000061051745,0.0008057988],"study_design_scores_gemma":[0.0010714742,0.000016608392,0.0006549423,0.00005486661,0.000003085138,0.00007816163,0.00012403874,0.98893887,0.008563219,0.000050379524,0.00021616356,0.00022821054],"about_ca_topic_score_codex":0.000048966285,"about_ca_topic_score_gemma":0.00004371566,"teacher_disagreement_score":0.44733113,"about_ca_system_score_codex":0.00011791971,"about_ca_system_score_gemma":0.000009351742,"threshold_uncertainty_score":0.75077856},"labels":[],"label_agreement":null},{"id":"W2102082174","doi":"10.1109/aps.2011.5997102","title":"Characterization of the MIMO channel for LTE standard in underground mine","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"MIMO; Characterization (materials science); Channel (broadcasting); Computer science; Environmental science; Computer network; Materials science; Nanotechnology","score_opus":0.020119665044002186,"score_gpt":0.21108638456323434,"score_spread":0.19096671951923216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102082174","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":[0.118123725,0.000013873486,0.8793167,0.000015943393,0.00025057973,0.00037426242,0.000018566228,0.00005008708,0.0018362592],"genre_scores_gemma":[0.9952132,0.000011447986,0.004311291,0.000009478261,0.000021483715,0.000034732147,0.000012932748,0.000019838877,0.00036560147],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996318,0.0000069282146,0.0001703571,0.00006220223,0.00004117125,0.00008752592],"domain_scores_gemma":[0.9997859,0.0000107451015,0.00003621596,0.000117317955,0.00003862245,0.000011194524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059146307,0.000060195383,0.00009229249,0.000042293435,0.000012151085,0.0000031129457,0.00006268822,0.000036219688,0.000016855378],"category_scores_gemma":[0.000013269307,0.000046871002,0.000021150852,0.00012519352,0.000009593236,0.00013170477,0.0000092152495,0.000023991013,9.0909907e-7],"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":[0.00021961064,0.00012150308,0.00453531,0.0010599389,0.00010048264,0.0000010162171,0.0071435394,0.23300979,0.73236346,0.01772931,0.0002663035,0.0034497413],"study_design_scores_gemma":[0.002395492,0.00014104685,0.01438937,0.00026329167,0.000027535318,0.0000038243315,0.0005195565,0.39966527,0.5777259,0.0032808064,0.0011040601,0.00048386084],"about_ca_topic_score_codex":0.000012677419,"about_ca_topic_score_gemma":0.000119974095,"teacher_disagreement_score":0.87708944,"about_ca_system_score_codex":0.000041031897,"about_ca_system_score_gemma":0.000006121043,"threshold_uncertainty_score":0.19113441},"labels":[],"label_agreement":null},{"id":"W2102369107","doi":"10.1109/tvt.2009.2031456","title":"Observation-Based Time-Varying MIMO Channel Model","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Narrowband; Transmitter; Rayleigh fading; Fading; Autocorrelation; Channel (broadcasting); Computer science; Probability density function; Coupling (piping); Electronic engineering; Algorithm; Mathematics; Engineering; Telecommunications; Statistics","score_opus":0.011768052476032723,"score_gpt":0.21329087370140454,"score_spread":0.20152282122537182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102369107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010807414,0.00009732727,0.985254,0.00059266697,0.00017955522,0.00031463493,0.000013641657,0.002478677,0.00026210287],"genre_scores_gemma":[0.9680228,0.000021857264,0.031412575,0.00017398834,0.0000171595,0.00008903938,0.000011028412,0.00005162162,0.00019992031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900925,0.000012445067,0.00028022632,0.0002702112,0.00012141163,0.0003064695],"domain_scores_gemma":[0.9993721,0.000022023121,0.000040880157,0.00043589575,0.00007915971,0.000049920407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000057730875,0.00023034927,0.00023002563,0.0005163346,0.00014069445,0.000014513878,0.00018812188,0.0003683586,0.0000179956],"category_scores_gemma":[0.000005475588,0.00026528366,0.000084430285,0.0007050528,0.000037534766,0.00016798255,4.1632418e-7,0.00034902216,0.00010522179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006559881,0.00004991364,6.7399446e-7,0.000013291064,0.000018535957,0.0000047131807,0.000019202558,0.9497651,0.043409817,0.000077718476,0.000041348725,0.006593144],"study_design_scores_gemma":[0.00037192696,0.000058924525,0.0000015625583,0.00004283569,0.000020513819,0.0000071364548,0.0000071502423,0.8588045,0.13968843,0.00070960104,0.000070435155,0.00021694339],"about_ca_topic_score_codex":0.0000014925878,"about_ca_topic_score_gemma":0.0000023352532,"teacher_disagreement_score":0.95721537,"about_ca_system_score_codex":0.00014801927,"about_ca_system_score_gemma":0.000023669476,"threshold_uncertainty_score":0.9999799},"labels":[],"label_agreement":null},{"id":"W2102407571","doi":"10.1109/icc.2005.1494771","title":"Optimum opportunistic beamforming based on multiple weighting vectors","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Beamforming; Weighting; Rayleigh fading; Computer science; Throughput; WSDMA; Algorithm; Mathematical optimization; Fading; Mathematics; Telecommunications; Wireless; Precoding; Decoding methods; Acoustics","score_opus":0.011999207879691085,"score_gpt":0.21203200694827123,"score_spread":0.20003279906858015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102407571","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":[0.0043727127,0.000018210581,0.95541805,0.000041386378,0.00025313973,0.00018408685,0.0000050159733,0.0008808755,0.038826495],"genre_scores_gemma":[0.8754906,0.000003194291,0.123708144,0.00007229641,0.00015948007,0.000018773297,0.00002725554,0.00005129207,0.00046897578],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925596,0.000008240988,0.00023515667,0.00014931014,0.000106767606,0.00024456182],"domain_scores_gemma":[0.99950606,0.000144438,0.000031111897,0.00020690751,0.000024467283,0.00008703821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083274565,0.00015289665,0.00013058618,0.000110504334,0.00006856544,0.000020990256,0.00008304931,0.000059611815,0.00014701509],"category_scores_gemma":[0.000087194145,0.00014977354,0.00003756826,0.00012419486,0.00000923761,0.00018612466,0.000009453482,0.000098543096,0.00009319951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027141118,0.00001077266,0.00020498701,0.000022084652,0.000004725606,0.0000018690389,0.000035827685,0.9933112,0.0018439929,0.00018707031,0.0001758856,0.0041988348],"study_design_scores_gemma":[0.00029262152,0.000016796868,0.000025976904,0.000041243766,0.000004720363,0.0000018075363,0.00003180778,0.98940253,0.0049613225,0.0000042041925,0.0050342144,0.00018273559],"about_ca_topic_score_codex":0.0000039323086,"about_ca_topic_score_gemma":0.000010623096,"teacher_disagreement_score":0.8711179,"about_ca_system_score_codex":0.00015424223,"about_ca_system_score_gemma":0.0000114922295,"threshold_uncertainty_score":0.6107588},"labels":[],"label_agreement":null},{"id":"W2102570242","doi":"10.1109/wcnc.2011.5779431","title":"Beamforming for physical layer multicasting","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Multicast; Beamforming; Physical layer; Computer science; Block (permutation group theory); Channel (broadcasting); Dimension (graph theory); Topology (electrical circuits); Computer network; Algorithm; Wireless; Telecommunications; Mathematics; Combinatorics","score_opus":0.04473660679985603,"score_gpt":0.2520938159192475,"score_spread":0.20735720911939148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102570242","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":[0.011134688,0.0000069190114,0.9680547,0.0000010916075,0.000115686984,0.00015537748,0.0000012767462,0.00034907207,0.020181151],"genre_scores_gemma":[0.7138395,3.8492863e-7,0.2858805,0.0000044493486,0.00007337539,0.000028894197,0.0000015337363,0.00002030099,0.00015108062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970055,0.0000014630481,0.00008169077,0.00006526862,0.000024132325,0.00012691796],"domain_scores_gemma":[0.99984217,0.000029024994,0.000009599674,0.00007166213,0.000021727681,0.000025845087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026026119,0.00006031164,0.00006936443,0.000020582072,0.000024049486,0.000004122769,0.00003604275,0.000020495292,0.000014227616],"category_scores_gemma":[0.00002210176,0.00005590958,0.000024922127,0.00003908559,0.0000048057786,0.00013719682,0.0000070712963,0.000027389833,0.00001955183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020833415,0.00006693524,0.00023888817,0.00028265023,0.00006181594,0.000001848218,0.0061896057,0.88523555,0.0591762,0.014745342,0.0003935415,0.033586774],"study_design_scores_gemma":[0.00014910827,0.000015212486,0.000010897024,0.0000101114565,0.00000492173,0.0000013726913,0.000115593895,0.9584988,0.040579084,0.00022976016,0.00029608194,0.00008907732],"about_ca_topic_score_codex":0.0000025715508,"about_ca_topic_score_gemma":0.0000024100232,"teacher_disagreement_score":0.7027048,"about_ca_system_score_codex":0.000016714825,"about_ca_system_score_gemma":0.0000015029719,"threshold_uncertainty_score":0.22799265},"labels":[],"label_agreement":null},{"id":"W2102833882","doi":"10.1109/glocom.2010.5683134","title":"Dual Methods for Power Allocation for Radios Coexisting in Unlicensed Spectra","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Duality gap; Mathematical optimization; Duality (order theory); Constraint (computer-aided design); Convergence (economics); Dual (grammatical number); Power (physics); Interference (communication); Boundary (topology); Computer science; Rate of convergence; Set (abstract data type); Topology (electrical circuits); Feasible region; Mathematics; Optimization problem; Telecommunications; Discrete mathematics; Combinatorics; Channel (broadcasting)","score_opus":0.017356997674061632,"score_gpt":0.3270024591806538,"score_spread":0.30964546150659217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102833882","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":[0.002090675,0.000022615443,0.9917281,0.000049994072,0.0007693067,0.0008472296,0.0000042876936,0.00023699852,0.0042507555],"genre_scores_gemma":[0.23281221,0.0000012309391,0.7664322,0.000017544946,0.00010929291,0.00017435338,0.000022407363,0.000037270962,0.00039343792],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994104,0.000011453707,0.00022821719,0.00013438573,0.00002913945,0.00018640081],"domain_scores_gemma":[0.99946064,0.00028628498,0.00003069993,0.00013131046,0.000058854486,0.000032241624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035874435,0.00009761622,0.00013144576,0.00007842236,0.00002935032,0.000016693271,0.000049925795,0.00008402361,0.000040704148],"category_scores_gemma":[0.00019665861,0.000103689046,0.00003266021,0.00009715917,0.00000818392,0.00013462664,0.0000044885815,0.00008459378,0.0000035655135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031156378,0.000024857814,0.000052002593,0.00016529846,0.000025126277,3.9022297e-7,0.00059117156,0.23406202,0.7113795,0.039163634,0.00073618523,0.013768649],"study_design_scores_gemma":[0.0010338341,0.000025367033,0.00010712847,0.000012742637,0.000008011044,0.00000455279,0.00010462152,0.9200342,0.06781268,0.0010616031,0.009574145,0.0002211054],"about_ca_topic_score_codex":0.0000052303626,"about_ca_topic_score_gemma":0.00005791536,"teacher_disagreement_score":0.6859722,"about_ca_system_score_codex":0.000051313564,"about_ca_system_score_gemma":0.00000990635,"threshold_uncertainty_score":0.42283165},"labels":[],"label_agreement":null},{"id":"W2104090769","doi":"10.1109/tcomm.2011.102910.090386","title":"Interference Diversity Gain and its Application in Multi-Channel Systems: Capacity Maximization and QoS Guarantee Strategies","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Interference (communication); Channel (broadcasting); Resource allocation; Diversity scheme; Spectral efficiency; Computer network; Wireless; Diversity gain; Throughput; Channel allocation schemes; Channel capacity; Fading; Electronic engineering; Telecommunications; Engineering","score_opus":0.04049512902770024,"score_gpt":0.25222478217223226,"score_spread":0.21172965314453202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104090769","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":[0.054757763,0.00023860697,0.94368863,0.000055468376,0.00024789598,0.0005895795,0.000057801324,0.0002140931,0.00015017862],"genre_scores_gemma":[0.9949804,0.0011045607,0.0036364866,0.000006151849,0.00000912651,0.00020437014,0.000013077982,0.000021973397,0.000023847342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992677,0.00006995709,0.00026331138,0.00019115061,0.00006839715,0.00013948331],"domain_scores_gemma":[0.9991115,0.0001137911,0.00005627515,0.0005777231,0.00009266336,0.00004810143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001478104,0.00015667694,0.00015825932,0.00020913476,0.00035566505,0.000056003257,0.00026276565,0.00013304391,0.0000021655837],"category_scores_gemma":[0.000008459473,0.00018451939,0.000019112565,0.00024702668,0.00009353279,0.00053914794,0.000012852877,0.00044325984,0.000006742276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008591263,0.00011404529,0.00007168124,0.000097192424,0.000021928397,2.337059e-7,0.0023869823,0.98275965,0.011748582,0.0016697147,0.0000035082253,0.0011178864],"study_design_scores_gemma":[0.00040828204,0.00001550304,0.0003200175,0.000060849878,0.000017578546,0.000010200317,0.0009508261,0.99641484,0.0014314477,0.00016599766,0.00002407099,0.0001804115],"about_ca_topic_score_codex":0.00028338615,"about_ca_topic_score_gemma":0.0041553415,"teacher_disagreement_score":0.9402226,"about_ca_system_score_codex":0.00006809678,"about_ca_system_score_gemma":0.0000135171895,"threshold_uncertainty_score":0.75244826},"labels":[],"label_agreement":null},{"id":"W2104091737","doi":"10.1109/lcomm.2013.052413.130298","title":"A Moment Matching Technique to Estimate the Achievable Ergodic Rate for Limited Feedback Distributed Antenna Systems in the Presence of Out-of-Cell Interference","year":2013,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rayleigh fading; Ergodic theory; Precoding; Path loss; Moment (physics); Zero-forcing precoding; Interference (communication); Quantization (signal processing); Topology (electrical circuits); Control theory (sociology); Fading; Computer science; Antenna (radio); Mathematics; Telecommunications; Algorithm; MIMO; Wireless; Mathematical analysis; Physics; Beamforming; Decoding methods","score_opus":0.024210007556347262,"score_gpt":0.27842991963385705,"score_spread":0.25421991207750977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104091737","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":[0.05186944,0.00015909437,0.943326,0.0018387744,0.00012090431,0.0025293117,0.00004773228,0.00006606655,0.0000426927],"genre_scores_gemma":[0.9742186,0.000039949944,0.02327931,0.00006388183,0.000007809356,0.0023212743,0.00003569216,0.000022932041,0.000010535645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998921,0.00021082044,0.0004831732,0.0001134198,0.000081529375,0.00019005944],"domain_scores_gemma":[0.99762106,0.0006429334,0.00015144398,0.0014496754,0.000110323825,0.00002458379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048875355,0.00013411799,0.00019809019,0.00010080259,0.000088532164,0.000047757418,0.0013165385,0.000040936524,7.604071e-7],"category_scores_gemma":[0.000050119634,0.000096971846,0.000039805844,0.0003756495,0.00008053113,0.00020907802,0.000101566366,0.00018793531,0.000005382112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005075571,0.000030332732,0.00003390367,0.00014400105,0.000011887763,8.135725e-8,0.0016666517,0.526876,0.47052255,0.00014113625,0.00050306134,0.000065315704],"study_design_scores_gemma":[0.00042596154,0.00006169855,0.00035577212,0.0010561582,0.000031320003,0.000005970577,0.001760936,0.9655471,0.029884692,0.000171169,0.00041162837,0.0002875801],"about_ca_topic_score_codex":0.00019331284,"about_ca_topic_score_gemma":0.000051816914,"teacher_disagreement_score":0.92234915,"about_ca_system_score_codex":0.00008068797,"about_ca_system_score_gemma":0.000009925685,"threshold_uncertainty_score":0.3954397},"labels":[],"label_agreement":null},{"id":"W2104167423","doi":"10.1109/spawc.2009.5161782","title":"Simplified transmit covariance optimization and user ordering algorithm for successive zero-forcing precoding","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Algorithm; Precoding; Covariance; Telecommunications link; Covariance matrix; Computer science; Optimization problem; MIMO; Dirty paper coding; Mathematical optimization; Mathematics; Channel (broadcasting); Telecommunications; Statistics","score_opus":0.009118591553364157,"score_gpt":0.22758281249506762,"score_spread":0.21846422094170345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104167423","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":[0.00021449967,0.00018708057,0.99732226,0.000037083693,0.00016473136,0.00058929255,0.000008434505,0.0004686888,0.0010079092],"genre_scores_gemma":[0.25944716,0.0000838038,0.7399956,0.00004568048,0.0000675689,0.000043633016,0.00002570101,0.000040013972,0.00025081405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991801,0.000007725893,0.00027098283,0.00022390098,0.000063797284,0.00025354367],"domain_scores_gemma":[0.9996215,0.00007850114,0.00004598938,0.0001212779,0.00007177754,0.000060961196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008675867,0.00017464516,0.00019547733,0.00008038368,0.00011063039,0.00007289705,0.00007004803,0.0000911067,0.000016114232],"category_scores_gemma":[0.000025468154,0.00018646501,0.000029351317,0.00016457659,0.000009317519,0.00061615795,0.0000061970686,0.00006812127,8.000533e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037842199,0.000004220267,0.000008941769,0.000040694606,0.00001257991,5.248626e-7,0.00012757762,0.9582118,0.0011762215,0.00056547776,0.000046640427,0.03980157],"study_design_scores_gemma":[0.00064435316,0.000031320706,0.000010782874,0.000062404746,0.000015383088,0.0000049053397,0.00004785151,0.994534,0.003989067,0.00022902372,0.00019986132,0.00023102],"about_ca_topic_score_codex":0.000004077209,"about_ca_topic_score_gemma":0.0000034880486,"teacher_disagreement_score":0.25923267,"about_ca_system_score_codex":0.000058400252,"about_ca_system_score_gemma":0.0000073743436,"threshold_uncertainty_score":0.7603823},"labels":[],"label_agreement":null},{"id":"W2104208229","doi":"10.1109/isit.2011.6033926","title":"On the degrees of freedom of three-user MIMO broadcast channel with delayed CSIT","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; Channel state information; MIMO; Fading; Degrees of freedom (physics and chemistry); Channel (broadcasting); Computer science; Antenna (radio); Topology (electrical circuits); Telecommunications; Control theory (sociology); Mathematics; Wireless; Physics; Combinatorics; Artificial intelligence","score_opus":0.020629847880039996,"score_gpt":0.19071031380399092,"score_spread":0.17008046592395093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104208229","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":[0.07041926,0.00010765063,0.90546006,0.000007990204,0.000097295226,0.0003122061,0.000010338348,0.000121155295,0.023464069],"genre_scores_gemma":[0.9792717,0.000008493476,0.020456128,0.0000047957733,0.000016447175,0.000015089394,0.0000021317903,0.00003230462,0.0001928828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948394,0.000009541119,0.00019470172,0.000090755966,0.00010090808,0.00012013707],"domain_scores_gemma":[0.9994902,0.000048271788,0.0000627808,0.00029589768,0.00007833622,0.000024509818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063822605,0.00011488739,0.00015534072,0.000052386647,0.000017649083,0.000002611125,0.00014095067,0.000047387504,0.00013092834],"category_scores_gemma":[0.000012271406,0.00006918399,0.000029051911,0.00014192364,0.0000452179,0.00008815565,0.00001562841,0.000060474416,0.000010784061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006215234,0.000030886775,0.0003922868,0.00004412984,0.00008818199,0.000001005007,0.0007129077,0.98619515,0.0012965668,0.010669039,0.00032681937,0.00018086507],"study_design_scores_gemma":[0.0014813336,0.00079913496,0.0039308365,0.00036270305,0.000088233224,0.000014988449,0.0011487551,0.92143303,0.06939292,0.0006833636,0.00010366995,0.0005610487],"about_ca_topic_score_codex":0.00024933612,"about_ca_topic_score_gemma":0.00051527825,"teacher_disagreement_score":0.90885246,"about_ca_system_score_codex":0.000013142815,"about_ca_system_score_gemma":0.0000057221678,"threshold_uncertainty_score":0.28212413},"labels":[],"label_agreement":null},{"id":"W2104555109","doi":"10.1109/icassp.2006.1660899","title":"Robust Linear Precoding for Uncertain Miso Broadcast Channels","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Precoding; Base station; Computer science; Channel state information; Channel (broadcasting); Convex optimization; Mathematical optimization; Control theory (sociology); Optimization problem; MIMO; Mathematics; Wireless; Algorithm; Regular polygon; Computer network; Telecommunications","score_opus":0.028204244364694504,"score_gpt":0.23305445593641386,"score_spread":0.20485021157171934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104555109","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":[0.00093940046,0.00018504001,0.98881793,0.000025821208,0.00044875024,0.00038535282,0.000009606801,0.00053992093,0.008648192],"genre_scores_gemma":[0.68355685,0.00001870947,0.30492824,0.000022724827,0.0010053209,0.00015880508,0.000103879465,0.000107121574,0.01009836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939,0.0000049731057,0.0001993123,0.00013670314,0.000048206708,0.00022078458],"domain_scores_gemma":[0.9997378,0.000041741656,0.000022848812,0.00012162117,0.000045863635,0.000030099853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006483853,0.000117974945,0.00012262283,0.00005666653,0.0000480884,0.000021907734,0.00006512203,0.00006489847,0.00004032468],"category_scores_gemma":[0.000012719414,0.00011971072,0.00004005601,0.00010785849,0.0000069361367,0.00015103062,0.000008092824,0.000042529104,0.000022137463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023335567,0.000005642775,0.000027933906,0.00006540632,0.0000059219174,4.0582924e-7,0.000029267494,0.9944181,0.0013319768,0.00045264215,0.0027860287,0.0008743537],"study_design_scores_gemma":[0.00029424301,0.00001297196,0.0000045286497,0.00002567461,0.0000051098978,0.000003187777,0.000042530617,0.98306787,0.0080576455,0.0001374783,0.008187175,0.00016159887],"about_ca_topic_score_codex":0.0000347657,"about_ca_topic_score_gemma":0.000020580133,"teacher_disagreement_score":0.6838897,"about_ca_system_score_codex":0.000066943234,"about_ca_system_score_gemma":0.000004840024,"threshold_uncertainty_score":0.48816615},"labels":[],"label_agreement":null},{"id":"W2104580443","doi":"10.1109/tvt.2009.2025703","title":"A Simple and Efficient User-Scheduling Strategy for RUB-Based Multiuser MIMO Systems and Its Sum-Rate Analysis","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"MIMO; Beamforming; Scheduling (production processes); Maximization; Control theory (sociology); Computer science; Signal-to-interference-plus-noise ratio; Signal-to-noise ratio (imaging); Interference (communication); Mathematical optimization; Algorithm; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.011222043864531041,"score_gpt":0.2408058739700404,"score_spread":0.22958383010550937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104580443","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.319906,0.0006053275,0.678304,0.000050949355,0.00007585446,0.000511162,0.00003720424,0.0005052859,0.000004172384],"genre_scores_gemma":[0.9951777,0.00005786462,0.0045004855,0.000016400982,0.000011761726,0.00016685989,0.000011843761,0.000037272708,0.00001984538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888325,0.00002844094,0.00032723683,0.00036824716,0.00007874505,0.00031407402],"domain_scores_gemma":[0.99941134,0.000069419744,0.00006022429,0.00028013787,0.00010671301,0.00007217862],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013855354,0.00024518595,0.00038184924,0.0007973607,0.00016461074,0.00004198036,0.00009140961,0.00033200183,0.0000026227972],"category_scores_gemma":[0.000009851839,0.00025801655,0.000085461084,0.00087970356,0.000036899142,0.0000826635,7.532792e-7,0.00021641632,0.000002631097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015912443,0.000043865533,0.000016922264,0.00007647195,0.00017235393,0.0000054114353,0.00001967553,0.9745734,0.023723809,0.00019220497,0.0000014148833,0.0011585981],"study_design_scores_gemma":[0.00079541677,0.0001388717,0.000044497952,0.000034456516,0.00029618296,0.000009510126,0.000112516886,0.9592814,0.038953442,0.000027874272,0.000064830914,0.00024102563],"about_ca_topic_score_codex":0.000010540934,"about_ca_topic_score_gemma":0.000044509987,"teacher_disagreement_score":0.67527163,"about_ca_system_score_codex":0.000074209114,"about_ca_system_score_gemma":0.00001314259,"threshold_uncertainty_score":0.9999872},"labels":[],"label_agreement":null},{"id":"W2104637370","doi":"10.1109/tvt.2008.919609","title":"MIMO Precoder Designs for Frequency-Selective Fading Channels Using Spatial and Path Correlation","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Fading; MIMO; Spatial correlation; Multipath propagation; Channel state information; Mathematics; Algorithm; Channel (broadcasting); Topology (electrical circuits); Channel capacity; Covariance matrix; Control theory (sociology); Computer science; Electronic engineering; Telecommunications; Wireless; Statistics; Engineering; Decoding methods","score_opus":0.021273820526587613,"score_gpt":0.23004354659967452,"score_spread":0.20876972607308691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104637370","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0779443,0.00016058524,0.9199663,0.000020571115,0.00052336307,0.0006977299,0.000017329647,0.0006409429,0.000028914621],"genre_scores_gemma":[0.94758344,0.000073328316,0.05200705,0.000006770813,0.000034642395,0.00020277439,0.0000049612004,0.00005951611,0.000027530134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913263,0.000020264557,0.0002386435,0.0002732094,0.00007147216,0.00026377902],"domain_scores_gemma":[0.99958557,0.000052415326,0.00005343782,0.0001739077,0.000095873904,0.0000387783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057509784,0.00019488728,0.00021871935,0.00041882868,0.00028840624,0.000008887275,0.00006964649,0.00036117402,0.0000051837337],"category_scores_gemma":[0.000011561031,0.00022485518,0.000053409272,0.00035798902,0.00007763883,0.00019490515,7.616939e-7,0.00025435645,0.0000040525624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010155991,0.000021519923,0.000050038925,0.000026602609,0.000051655665,0.000004483899,0.00021389115,0.95620054,0.040238425,0.00004723056,0.000006156753,0.003129326],"study_design_scores_gemma":[0.00052264356,0.00012673893,0.00001107611,0.00005047448,0.000044488326,0.00015703216,0.000046579644,0.8811988,0.11697751,0.0006060881,0.000029303937,0.00022923065],"about_ca_topic_score_codex":0.000023681068,"about_ca_topic_score_gemma":0.00002462139,"teacher_disagreement_score":0.8696391,"about_ca_system_score_codex":0.00018830968,"about_ca_system_score_gemma":0.000023037115,"threshold_uncertainty_score":0.91693276},"labels":[],"label_agreement":null},{"id":"W2105118201","doi":"10.1002/bltj.21602","title":"Making smart use of excess antennas: Massive MIMO, small cells, and TDD","year":2013,"lang":"en","type":"article","venue":"Bell Labs Technical Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"FP7 Information and Communication Technologies; Ministry of Economy, Trade and Industry","keywords":"Precoding; Telecommunications link; Base station; Backhaul (telecommunications); MIMO; Computer network; Duplex (building); Computer science; Channel state information; Zero-forcing precoding; Channel (broadcasting); Electronic engineering; Engineering; Wireless; Telecommunications","score_opus":0.027779158761626815,"score_gpt":0.2372288348150497,"score_spread":0.20944967605342288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105118201","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":[0.16864134,0.0012546082,0.82762444,0.000098812736,0.00048277382,0.0005333236,0.0000135903565,0.0003417218,0.0010093619],"genre_scores_gemma":[0.913082,0.00044592944,0.08615813,0.000030390696,0.00009270852,0.000012355327,0.0000016685681,0.000050261882,0.00012653646],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890316,0.000034499604,0.00050252513,0.00014701414,0.00013616143,0.00027663427],"domain_scores_gemma":[0.9992483,0.00010226194,0.00016356284,0.00019945635,0.0001625401,0.00012382897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014446382,0.00017200265,0.00027374795,0.00013026068,0.00007056142,0.000092741524,0.00016778245,0.00015254527,0.000056675584],"category_scores_gemma":[0.000070556154,0.00015532595,0.000060445796,0.0001705402,0.00006240164,0.00040407275,0.00007580836,0.0003837709,0.000013520421],"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":[0.000030467592,0.00009935624,0.003565591,0.00035634617,0.00012246128,0.00009595632,0.0002114905,0.13145246,0.84334975,0.000446657,0.004813712,0.015455728],"study_design_scores_gemma":[0.008087873,0.0012871539,0.0465079,0.0077247377,0.00059974403,0.005291449,0.0013874215,0.60580105,0.25913832,0.008598178,0.050059598,0.005516567],"about_ca_topic_score_codex":0.00001229708,"about_ca_topic_score_gemma":0.000012898044,"teacher_disagreement_score":0.7444407,"about_ca_system_score_codex":0.00006342326,"about_ca_system_score_gemma":0.000012757312,"threshold_uncertainty_score":0.6334008},"labels":[],"label_agreement":null},{"id":"W2105169926","doi":"10.1186/s13638-015-0405-3","title":"Software-defined networking-based resource management: data offloading with load balancing in 5G HetNet","year":2015,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Quality of service; Software-defined networking; Load balancing (electrical power); Computer network; Distributed computing; Cellular network; Heterogeneous network; Network congestion; Cellular traffic; Resource allocation; Network management; Wireless network; Wireless; Network packet; Operating system","score_opus":0.0444792273133387,"score_gpt":0.2590236948745587,"score_spread":0.21454446756121998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105169926","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":[0.020380065,0.02974844,0.9312788,0.0006311245,0.0010318778,0.0008516152,0.00001386757,0.0007526853,0.015311516],"genre_scores_gemma":[0.96817976,0.002711933,0.028479073,0.000116579075,0.0003072274,0.00001705608,0.00007358013,0.00008793205,0.000026882351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828464,0.00021316185,0.0005385321,0.00026436424,0.0002859782,0.00041335003],"domain_scores_gemma":[0.9977326,0.00031698323,0.00022361087,0.0014668001,0.00007924605,0.00018079768],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011868095,0.00025969645,0.00031584754,0.0002230558,0.00033881882,0.0002002505,0.0009619617,0.00007946979,0.000001511207],"category_scores_gemma":[0.000016979813,0.00025023115,0.000025102663,0.0006397089,0.000065958986,0.00035507488,0.00023046754,0.0006888247,0.0000034109876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005951768,0.000034237873,0.006493918,0.00003584641,0.00005334017,0.00003494388,0.00027563729,0.9215551,0.0000064604164,0.00012344397,0.00063335575,0.07069418],"study_design_scores_gemma":[0.0013943944,0.00005998355,0.00023917085,0.001775318,0.00003183964,0.00008748271,0.0002450556,0.9320538,0.0000040826135,0.000059526366,0.063722774,0.00032659157],"about_ca_topic_score_codex":0.000012415007,"about_ca_topic_score_gemma":0.000156797,"teacher_disagreement_score":0.9477997,"about_ca_system_score_codex":0.00031703606,"about_ca_system_score_gemma":0.000046889163,"threshold_uncertainty_score":0.999995},"labels":[],"label_agreement":null},{"id":"W2105190341","doi":"10.1109/icc.2009.5198778","title":"Base Station Pilot Management for User-Deployed Cellular Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Cellular network; Base station; Computer network; Computer science; Handover; Power control; User equipment; Network topology; Interference (communication); Radio resource management; Cellular radio; Mobility management; Channel (broadcasting); Power (physics); Wireless network; Wireless; Telecommunications","score_opus":0.011001189509668883,"score_gpt":0.21416348343827635,"score_spread":0.20316229392860746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105190341","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":[0.00065854937,0.00008344549,0.994447,0.000025741212,0.00020285035,0.000613987,0.0000024182139,0.000645023,0.0033209797],"genre_scores_gemma":[0.8489742,0.000043276497,0.14929555,0.000082206425,0.00008968371,0.000060618768,0.000072431205,0.00003723175,0.0013447979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994864,0.000006350169,0.00016703081,0.00011759138,0.000053909243,0.00016870533],"domain_scores_gemma":[0.9997472,0.000016505635,0.00002008805,0.00014974683,0.00002839278,0.000038030317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064035725,0.00009906115,0.00008519893,0.000052158473,0.000033489134,0.000019912835,0.000052319836,0.000026945698,0.000017121858],"category_scores_gemma":[0.0000033428644,0.000103589824,0.000021880815,0.00010018557,0.0000026974687,0.00015209426,0.0000043666396,0.00003102409,0.000008458175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010782492,0.000013235665,0.0000058250744,0.000031077816,0.000011538719,0.0000013672515,0.000012730253,0.98577297,0.0010473204,0.0034420185,0.0039917906,0.0056593465],"study_design_scores_gemma":[0.00059295294,0.0000897961,0.000056719044,0.000015682213,0.000014709105,3.3883893e-7,0.00003325467,0.99398327,0.0024621629,0.00034040402,0.0022630864,0.00014763075],"about_ca_topic_score_codex":0.0000015644995,"about_ca_topic_score_gemma":0.0000040760756,"teacher_disagreement_score":0.84831566,"about_ca_system_score_codex":0.000055691904,"about_ca_system_score_gemma":0.0000012228862,"threshold_uncertainty_score":0.42242703},"labels":[],"label_agreement":null},{"id":"W2105547551","doi":"10.1109/twc.2012.052512.111766","title":"When the Smart Grid Meets Energy-Efficient Communications: Green Wireless Cellular Networks Powered by the Smart Grid","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":230,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Smart grid; Cellular network; Base station; Computer science; Electricity; Computer network; Efficient energy use; Wireless; Base transceiver station; Renewable energy; Grid; Wireless network; Telecommunications; Key distribution in wireless sensor networks; Engineering; Electrical engineering","score_opus":0.017613866515318027,"score_gpt":0.2262534024574216,"score_spread":0.20863953594210358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105547551","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":[0.0014035056,0.009406983,0.9788266,0.004337593,0.0018328688,0.0009988989,0.00027109432,0.00077332987,0.0021491174],"genre_scores_gemma":[0.9896637,0.005658214,0.0019350672,0.00030071408,0.0001609381,0.0013068253,0.00031048758,0.00016893639,0.0004951063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968866,0.0008089114,0.0008807698,0.0003124724,0.00038129458,0.00072994333],"domain_scores_gemma":[0.99128115,0.001129621,0.00024239092,0.006912091,0.00021350021,0.00022123924],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007145088,0.00051040336,0.00041100118,0.00016952067,0.0022418157,0.0001342353,0.0035656313,0.00027117843,0.000050939194],"category_scores_gemma":[0.000007990964,0.00040868972,0.000250784,0.0008374448,0.00062599906,0.00042121837,0.000053370863,0.0011526156,0.000073486626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028858289,0.0010387573,0.00005515801,0.00004363929,0.0004930024,4.7894144e-7,0.0037603993,0.94752836,0.0040580113,0.00500087,0.008721057,0.029271428],"study_design_scores_gemma":[0.000540861,0.000031588683,0.0000341359,0.00013518483,0.00021070956,0.000023341769,0.0008332797,0.8923051,0.0047512823,0.000048289796,0.10044171,0.00064454466],"about_ca_topic_score_codex":0.0007938155,"about_ca_topic_score_gemma":0.0012143316,"teacher_disagreement_score":0.9882602,"about_ca_system_score_codex":0.0003520353,"about_ca_system_score_gemma":0.00004534744,"threshold_uncertainty_score":0.9998365},"labels":[],"label_agreement":null},{"id":"W2105829901","doi":"10.1109/bsc.2008.4563235","title":"Efficient design for robust downlink power control using worst-case performance optimization","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Telecommunications link; Mathematical optimization; Computer science; Optimization problem; Convex optimization; Robust optimization; Semidefinite programming; Power control; Robust control; Quality of service; Channel (broadcasting); Power (physics); Robustness (evolution); Regular polygon; Mathematics; Control system; Engineering; Computer network","score_opus":0.028157757093941038,"score_gpt":0.21683665903433566,"score_spread":0.18867890194039463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105829901","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":[0.015793404,0.00010028115,0.9819606,0.0000058196915,0.00031891998,0.0009505242,0.0000071056143,0.00041143742,0.00045191485],"genre_scores_gemma":[0.55811787,0.00000894981,0.44170058,0.000013587137,0.00003870003,0.000024812503,0.000004991217,0.00003682084,0.00005367419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914634,0.000019234041,0.0002964844,0.000179409,0.00008648424,0.00027205935],"domain_scores_gemma":[0.9994857,0.00007799347,0.000051251136,0.00018421591,0.00013447324,0.00006638095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014288622,0.00017392481,0.00018246616,0.00010774454,0.00019886454,0.000017120865,0.00006071911,0.000089971516,0.00004891556],"category_scores_gemma":[0.00003385169,0.00017046777,0.000044550106,0.00019676526,0.000022963444,0.00014770769,0.0000072785315,0.00006470076,0.000008573637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002350901,0.000014799081,0.00002896492,0.000028795032,0.000015646496,0.000016162914,0.00012586951,0.9993427,0.00023972821,0.000011549129,0.000083275736,0.00006904303],"study_design_scores_gemma":[0.0009908256,0.000038674018,0.0000041071185,0.000023085979,0.000016094178,0.00046555212,0.000038739625,0.99767256,0.0005201607,6.893418e-7,0.00001606363,0.00021346289],"about_ca_topic_score_codex":0.0000032144908,"about_ca_topic_score_gemma":5.5567244e-7,"teacher_disagreement_score":0.5423245,"about_ca_system_score_codex":0.00014754104,"about_ca_system_score_gemma":0.000020625428,"threshold_uncertainty_score":0.69514734},"labels":[],"label_agreement":null},{"id":"W2105832623","doi":"10.1109/icc.1996.542198","title":"A block memory model for correlated Rayleigh fading channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fading; Rayleigh fading; Markov process; Channel state information; Fading distribution; Markov chain; Computer science; Quantization (signal processing); Statistical physics; Algorithm; Channel (broadcasting); Mathematics; Electronic engineering; Telecommunications; Statistics; Engineering; Physics; Wireless","score_opus":0.022674881695768583,"score_gpt":0.21001046983401386,"score_spread":0.18733558813824527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105832623","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":[0.002078565,0.00020817944,0.98443335,0.000016856815,0.00040191473,0.0003866394,0.0000045172055,0.0007548044,0.011715147],"genre_scores_gemma":[0.96086085,0.000023797566,0.025353227,0.000024807177,0.000070084774,0.00007816968,0.0000062789395,0.000055203345,0.013527566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994278,0.0000035652308,0.00018089851,0.00012728726,0.000050280007,0.00021018495],"domain_scores_gemma":[0.9997238,0.000030303425,0.000020661997,0.0001366381,0.000039414623,0.000049183847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040117666,0.00011827145,0.0001317551,0.000068308305,0.00004585428,0.000014566424,0.0000657656,0.000082825485,0.000066937864],"category_scores_gemma":[0.000014583996,0.00012146218,0.000040510156,0.0001109519,0.0000060950265,0.00015973409,0.000008773539,0.000059575308,0.000056749694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012903939,0.0000062480403,0.0000013101555,0.000030414945,0.000013606301,4.832734e-7,0.0004381254,0.99448884,0.001349821,0.0001448694,0.0031190105,0.00040599616],"study_design_scores_gemma":[0.0003955059,0.000008308398,1.3767405e-7,0.000019323168,0.000008616884,0.000005469998,0.000031090327,0.9965065,0.0026262128,0.000101419035,0.0001434892,0.00015394336],"about_ca_topic_score_codex":0.000001326498,"about_ca_topic_score_gemma":0.00000148276,"teacher_disagreement_score":0.95908016,"about_ca_system_score_codex":0.000057614012,"about_ca_system_score_gemma":0.0000016668173,"threshold_uncertainty_score":0.4953084},"labels":[],"label_agreement":null},{"id":"W2105838932","doi":"10.1109/vetecs.2009.5073733","title":"On the Optimality of Multiuser Zero-Forcing Precoding in MIMO Broadcast Channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; Zero-forcing precoding; MIMO; Constraint (computer-aided design); Base station; Mathematical optimization; Channel (broadcasting); Dirty paper coding; Block (permutation group theory); Mathematics; Computer science; Gaussian; Optimization problem; Throughput; Power (physics); Control theory (sociology); Algorithm; Wireless; Computer network; Telecommunications; Combinatorics","score_opus":0.017807185776222006,"score_gpt":0.2359598436820499,"score_spread":0.21815265790582788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105838932","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":[0.22409514,0.00009246935,0.7515489,0.00009705281,0.0002475465,0.0005031814,0.0000028424658,0.00022600796,0.023186902],"genre_scores_gemma":[0.99281883,0.000012817523,0.006906364,0.00003899839,0.000022774555,0.000009582374,0.0000017644126,0.000015298685,0.00017355011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934894,0.000022314367,0.00026319482,0.000115626404,0.00007744041,0.00017246607],"domain_scores_gemma":[0.9996174,0.000095155105,0.00003748804,0.00020323962,0.000023854758,0.000022889299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019479974,0.00010950816,0.00014738846,0.000074727,0.000023797807,0.000011981615,0.00010141969,0.000051928484,0.000037211048],"category_scores_gemma":[0.000050476734,0.0000831468,0.000031123964,0.00018277335,0.000009158925,0.00015199995,0.000010001415,0.00010425017,0.000009022284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052264068,0.000013274865,0.00010951342,0.000018098379,0.0000040047844,5.721204e-7,0.00037459933,0.9917524,0.0036728047,0.0023611803,0.0000942415,0.0015940741],"study_design_scores_gemma":[0.0003452657,0.000039507475,0.00052716874,0.00017258726,0.0000030408582,0.0000017071444,0.00014093786,0.96075445,0.036988903,0.00082723517,0.000036005273,0.00016320894],"about_ca_topic_score_codex":0.000021218078,"about_ca_topic_score_gemma":0.0000069661573,"teacher_disagreement_score":0.7687237,"about_ca_system_score_codex":0.00006144754,"about_ca_system_score_gemma":0.0000032651958,"threshold_uncertainty_score":0.3390628},"labels":[],"label_agreement":null},{"id":"W2105854862","doi":"10.1109/tit.2007.915887","title":"On the User Selection for MIMO Broadcast Channels","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Rayleigh fading; Base station; Throughput; Computer science; MIMO; Fading; Selection (genetic algorithm); Set (abstract data type); Communications system; Mathematical optimization; Algorithm; Mathematics; Computer network; Telecommunications; Wireless; Decoding methods; Channel (broadcasting)","score_opus":0.010630493839973889,"score_gpt":0.2045153286103264,"score_spread":0.1938848347703525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105854862","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":[0.0033433083,0.000008091359,0.9920326,0.00004859597,0.0011077399,0.0006810243,0.000039102088,0.00044949507,0.0022900708],"genre_scores_gemma":[0.9972738,0.000039546903,0.0010921273,0.00026791473,0.000062616615,0.00045027057,0.0000141376995,0.000030389716,0.0007692033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928623,0.000036569065,0.0002945327,0.000076773,0.00012570196,0.0001801696],"domain_scores_gemma":[0.9993471,0.00027515285,0.000059830694,0.0001777003,0.00010107157,0.000039174516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020147307,0.00015528529,0.00010564619,0.00020059709,0.00040689186,0.000032141274,0.00009539905,0.00009329323,0.000119499135],"category_scores_gemma":[0.0000162713,0.00012792501,0.000082583276,0.00024878906,0.000034313736,0.00090847426,2.9290214e-7,0.00017318362,0.0002602207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067238274,0.000014863042,2.4402704e-7,0.000026047877,0.000028245679,4.7975682e-8,0.0010868689,0.98592025,0.00012663865,0.0060328525,0.0014180294,0.0052786777],"study_design_scores_gemma":[0.0015136705,0.00029641544,0.00000887712,0.00010115659,0.00004284148,0.00006752631,0.00084244914,0.8600785,0.11119701,0.0036768008,0.02158781,0.00058694277],"about_ca_topic_score_codex":0.0000020745802,"about_ca_topic_score_gemma":0.0000015254058,"teacher_disagreement_score":0.99393046,"about_ca_system_score_codex":0.00012248132,"about_ca_system_score_gemma":0.000015614982,"threshold_uncertainty_score":0.52166307},"labels":[],"label_agreement":null},{"id":"W2105986559","doi":"10.1109/vtcf.2006.410","title":"Capacity of SPRAS-MIMO System with MMSE Channel Estimation","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Channel (broadcasting); Minimum mean square error; Computer science; Channel state information; Bit error rate; Channel capacity; Precoding; Mutual information; Antenna (radio); Mean squared error; Control theory (sociology); Algorithm; Mathematics; Telecommunications; Statistics; Wireless","score_opus":0.008202636049450708,"score_gpt":0.18674549410392605,"score_spread":0.17854285805447534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105986559","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":[0.30083957,0.000090174384,0.69710475,0.000031412677,0.00012319091,0.0002491045,0.000008578209,0.0009561732,0.0005970392],"genre_scores_gemma":[0.9811344,0.0000046816995,0.01869666,0.0000016544163,0.000022674529,0.000073667194,0.000011508143,0.000033185614,0.000021575037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907583,0.000017388807,0.0003194486,0.00022270823,0.00012852893,0.00023609147],"domain_scores_gemma":[0.99921256,0.00001572372,0.00013010322,0.00040115905,0.0002149066,0.000025562309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008016844,0.00019850417,0.0003032042,0.00029255167,0.00004659867,0.000011798784,0.00019680256,0.00028710137,0.0000026408588],"category_scores_gemma":[0.0000145862405,0.00018844426,0.000026884369,0.00049415545,0.00015446068,0.00015786472,0.000013480294,0.00018920124,0.000018250403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044706794,0.000016985408,0.00037533342,0.0002680429,0.000026875952,0.000013555867,0.000029993667,0.92766476,0.05980133,0.011235156,0.000025545727,0.00053794665],"study_design_scores_gemma":[0.0003675413,0.000056644938,0.00014574522,0.0003094182,0.00002551627,0.00008103402,0.000099564095,0.73668677,0.26135904,0.00060977315,0.000026369149,0.00023259618],"about_ca_topic_score_codex":0.00007182741,"about_ca_topic_score_gemma":0.00007359438,"teacher_disagreement_score":0.6802948,"about_ca_system_score_codex":0.000100387806,"about_ca_system_score_gemma":0.000024088124,"threshold_uncertainty_score":0.76845336},"labels":[],"label_agreement":null},{"id":"W2106477855","doi":"10.1109/aps.2005.1552534","title":"Site-Specific Indoor MIMO Capacity Using Adapfive Techniques","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Channel capacity; Computer science; Ray tracing (physics); Channel (broadcasting); Electronic engineering; Range (aeronautics); Singular value; Algorithm; Telecommunications; Eigenvalues and eigenvectors; Engineering; Physics; Optics","score_opus":0.023528451279933475,"score_gpt":0.22770202864827857,"score_spread":0.2041735773683451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106477855","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":[0.05831689,0.0002122246,0.92168844,0.00001520122,0.000112456815,0.00023988092,0.0000067299497,0.0012602961,0.018147893],"genre_scores_gemma":[0.65414375,0.000033950833,0.34532788,0.000021571876,0.00019703344,0.000010502272,0.000004401431,0.00003461758,0.00022628334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937683,0.0000113508,0.00020338054,0.00014017387,0.00007841436,0.00018984277],"domain_scores_gemma":[0.9996644,0.000017500399,0.000026497395,0.00019355156,0.000048846447,0.00004915544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000061821054,0.00013395112,0.00013427396,0.0000872662,0.000043871863,0.000022712984,0.00007065838,0.000088650566,0.00013943088],"category_scores_gemma":[0.0000073341216,0.00013689915,0.000031926844,0.00014477626,0.000018507915,0.00026469177,0.000016074218,0.00010725676,0.000079556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049522546,0.00002226557,0.00026862315,0.00004152383,0.000016379601,0.000002745893,0.00051373744,0.77510375,0.20511556,0.00089596707,0.0029605206,0.015054009],"study_design_scores_gemma":[0.00024120921,0.000017335675,0.000048807757,0.00006463475,0.000008794411,0.00002742266,0.00010345885,0.47539598,0.4587785,0.000085845866,0.064738445,0.0004895739],"about_ca_topic_score_codex":0.0000268781,"about_ca_topic_score_gemma":0.0000621488,"teacher_disagreement_score":0.59582686,"about_ca_system_score_codex":0.00020905258,"about_ca_system_score_gemma":0.0000045485053,"threshold_uncertainty_score":0.55825853},"labels":[],"label_agreement":null},{"id":"W2106664841","doi":"10.1109/vtcf.2006.58","title":"Effect of Channel Uncertainty on the Mutual Information of MIMO Multiple Access Channels","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Mutual information; MIMO; Telecommunications link; Rayleigh fading; Upper and lower bounds; Channel (broadcasting); Computer science; Gaussian; Fading; Topology (electrical circuits); Mathematics; Algorithm; Telecommunications; Physics; Artificial intelligence","score_opus":0.008572774940457953,"score_gpt":0.222699754567582,"score_spread":0.21412697962712407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106664841","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":[0.76674086,0.000062580046,0.2313576,0.00009735585,0.00031993852,0.0006382881,0.000022939765,0.0003288157,0.00043159732],"genre_scores_gemma":[0.9996584,0.000016024915,0.00013223465,0.0000076130486,0.000022864095,0.00011821004,0.000021360123,0.000014598678,0.000008661705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99912333,0.000045791894,0.00037603214,0.000119534394,0.00013710443,0.00019819521],"domain_scores_gemma":[0.9990784,0.00017011771,0.00017817767,0.000383038,0.00017556515,0.000014722289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002066946,0.00018098614,0.0002885985,0.00030425887,0.00004268398,0.000014779525,0.0004132197,0.00025575983,0.000006127483],"category_scores_gemma":[0.00014704005,0.00013512262,0.000050928546,0.00047983334,0.00015758687,0.00025644328,0.000037834547,0.00020080077,0.000013885106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023199831,0.000013132664,0.00030117293,0.00016890373,0.000026695689,0.0000010604532,0.000066049,0.96968096,0.0248076,0.0026310673,0.0001054033,0.0021747563],"study_design_scores_gemma":[0.000394884,0.00014781488,0.000036903177,0.000118741926,0.000012403423,0.0000033167437,0.000039410967,0.3870411,0.6115436,0.00044449937,0.000105563275,0.00011180223],"about_ca_topic_score_codex":0.00005560042,"about_ca_topic_score_gemma":0.000017767163,"teacher_disagreement_score":0.58673596,"about_ca_system_score_codex":0.00004046136,"about_ca_system_score_gemma":0.000015411735,"threshold_uncertainty_score":0.55101407},"labels":[],"label_agreement":null},{"id":"W2106820694","doi":"10.1109/tsp.2011.2135347","title":"Multiuser Downlink Beamforming in Multicell Wireless Systems: A Game Theoretical Approach","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Telecommunications link; Beamforming; Base station; Computer science; Nash equilibrium; Game theory; Transmitter power output; Non-cooperative game; Mathematical optimization; Context (archaeology); Transmitter; Telecommunications; Mathematics; Mathematical economics","score_opus":0.019019715016267025,"score_gpt":0.21941887114608521,"score_spread":0.20039915612981818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106820694","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":[0.01593957,0.00018016722,0.97989434,0.0000015872788,0.00021585327,0.00048004914,0.000007684739,0.00048065942,0.0028000749],"genre_scores_gemma":[0.97758585,0.000017583467,0.02200395,0.000011113845,0.000046361725,0.0001815103,0.0000030707197,0.00009419181,0.00005636746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845177,0.000055659493,0.00052630703,0.00034214059,0.00020265272,0.0004214804],"domain_scores_gemma":[0.99948835,0.0000621283,0.00006862973,0.00019373334,0.00007597236,0.00011117372],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000220474,0.00029658573,0.00032842823,0.00031199,0.00010530798,0.000059703092,0.00017231476,0.00020463768,0.000038103553],"category_scores_gemma":[0.0000023575712,0.00029241855,0.00006760359,0.00045013346,0.000104972416,0.0005708585,0.0000011562305,0.00048391978,0.000034902703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050892493,0.00016240991,0.0000074285567,0.00045088903,0.000018402094,0.000007509192,0.0029109265,0.97584033,0.004513902,0.00014982623,7.792729e-7,0.0158867],"study_design_scores_gemma":[0.0006426018,0.000032015552,0.0000036160284,0.00038144208,0.000028237075,0.00001942256,0.00082121236,0.9773236,0.02035656,0.000042352232,0.000012361227,0.00033656898],"about_ca_topic_score_codex":0.000018163848,"about_ca_topic_score_gemma":0.0000061217006,"teacher_disagreement_score":0.96164626,"about_ca_system_score_codex":0.00018430332,"about_ca_system_score_gemma":0.000030854015,"threshold_uncertainty_score":0.9999528},"labels":[],"label_agreement":null},{"id":"W2106993652","doi":"10.1109/jstsp.2007.910623","title":"Convex Conic Formulations of Robust Downlink Precoder Designs With Quality of Service Constraints","year":2007,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":203,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematical optimization; Computer science; Semidefinite programming; Transmitter; Robustness (evolution); Quality of service; Telecommunications link; Channel state information; Convex optimization; Transmitter power output; Channel (broadcasting); Transmission (telecommunications); Mathematics; Wireless; Regular polygon; Telecommunications","score_opus":0.04314146787091745,"score_gpt":0.2900214465327398,"score_spread":0.24687997866182237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106993652","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":[0.25004697,0.00022259506,0.74911684,0.000012991865,0.0000534897,0.00012260315,0.0000030117383,0.00001785928,0.00040364795],"genre_scores_gemma":[0.93078923,0.000010662842,0.06907722,0.000011413194,0.00008111523,0.0000010061337,0.0000022162233,0.000019801517,0.0000073532074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982657,0.000043818287,0.0011508933,0.00008848377,0.00024500015,0.00020610094],"domain_scores_gemma":[0.99759156,0.0001717611,0.00070106913,0.000077658304,0.0014002604,0.000057698093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006335379,0.00013492184,0.0004045711,0.00024138986,0.000032238113,0.000012764784,0.00013127118,0.00012036841,0.00001631692],"category_scores_gemma":[0.000055088272,0.00012341153,0.00003266312,0.0007979698,0.000067734574,0.00040707557,0.0000050491444,0.0003206409,1.8498055e-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":[0.000107430096,0.00005967706,0.004716402,0.000731121,0.000059145972,0.000005185613,0.0011088968,0.9075282,0.07968449,0.00008942716,0.0000036999886,0.0059062764],"study_design_scores_gemma":[0.0071321507,0.00066446175,0.021886956,0.0048220414,0.00019965685,0.0003923883,0.0017474059,0.44430253,0.5158656,0.0020164787,0.00003068298,0.00093964976],"about_ca_topic_score_codex":0.000008864254,"about_ca_topic_score_gemma":0.00011593295,"teacher_disagreement_score":0.68074226,"about_ca_system_score_codex":0.00012400177,"about_ca_system_score_gemma":0.0002383744,"threshold_uncertainty_score":0.50325763},"labels":[],"label_agreement":null},{"id":"W2106995935","doi":"","title":"A modeling approach for simulating MIMO systems with near-field effects","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"MIMO; Antenna (radio); 3G MIMO; Coupling (piping); Radiation pattern; Channel (broadcasting); Antenna array; Electronic engineering; Matrix (chemical analysis); Computer science; Near and far field; Algorithm; Engineering; Physics; Telecommunications; Optics","score_opus":0.014257605263974165,"score_gpt":0.21199607344609636,"score_spread":0.1977384681821222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106995935","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":[0.01886942,0.00022010496,0.9754052,0.0000016218092,0.00011242562,0.00085164217,8.193778e-7,0.00056195224,0.003976818],"genre_scores_gemma":[0.76079834,0.0000031028364,0.23877786,0.000008708802,0.00006985805,0.00014188077,0.000007567193,0.000049370483,0.00014333834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993264,0.000009638223,0.0001879756,0.0001658856,0.00008618649,0.00022389767],"domain_scores_gemma":[0.9995838,0.00011894574,0.000020174612,0.00016857525,0.00005874613,0.000049799317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005915215,0.00014474397,0.00019698941,0.000037326674,0.00012241816,0.000027963672,0.00006123386,0.00007475446,8.260585e-7],"category_scores_gemma":[0.000036990263,0.00012228213,0.00003025145,0.00011863474,0.0000071871104,0.00017389336,0.0000080681175,0.000072508985,0.0000021977849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009726489,0.000006137908,0.00007252888,0.00044099247,0.00002141567,0.0000015788283,0.00020416302,0.99875224,0.00020442306,0.00010423805,0.00003840351,0.00014413455],"study_design_scores_gemma":[0.0004890922,0.000054169566,6.313629e-7,0.00006303148,0.000009273215,0.000022559614,0.00009559964,0.99864113,0.00042964597,0.000003524453,0.000019774223,0.00017156947],"about_ca_topic_score_codex":0.000037554142,"about_ca_topic_score_gemma":0.0000021393976,"teacher_disagreement_score":0.7419289,"about_ca_system_score_codex":0.000040466595,"about_ca_system_score_gemma":0.000010624305,"threshold_uncertainty_score":0.49865204},"labels":[],"label_agreement":null},{"id":"W2107807801","doi":"10.1109/jsac.2012.121118","title":"Asymptotic Analysis of Interference in Cognitive Radio Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognitive radio; Poisson point process; Computer science; Interference (communication); Poisson distribution; Fading; Exponential distribution; Asymptotic analysis; Cumulant; Point process; Statistical physics; Exponential function; Applied mathematics; Topology (electrical circuits); Mathematics; Algorithm; Statistics; Telecommunications; Physics; Wireless; Decoding methods; Mathematical analysis","score_opus":0.029485585206039982,"score_gpt":0.29335908893535667,"score_spread":0.26387350372931667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107807801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2787327,0.0032417215,0.71352845,0.000049547518,0.00037152608,0.00029833402,0.000015164408,0.00009257404,0.0036700168],"genre_scores_gemma":[0.9964816,0.0012865451,0.002104167,0.00001207703,0.000036240257,0.00002066116,0.000028970719,0.000019428233,0.000010289427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880195,0.00023844393,0.00056127104,0.00006921856,0.000086731314,0.00024241768],"domain_scores_gemma":[0.9985264,0.0006110083,0.00016146176,0.00042582912,0.00019939327,0.00007589838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033484533,0.00012100633,0.00031034203,0.0009399581,0.000050375143,0.000016504026,0.00038775857,0.00008319111,0.000023829578],"category_scores_gemma":[0.00019081424,0.00012759451,0.000057505415,0.003001835,0.000041955285,0.0002731487,0.000025025878,0.0006689906,0.0000028253069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013405514,0.00014279739,0.05565185,0.000004167247,0.00024248089,6.681451e-7,0.0008183834,0.94159687,0.00022866225,0.00011642388,0.00003248188,0.0011518258],"study_design_scores_gemma":[0.000495628,0.000037422466,0.10536583,0.00044801555,0.00020429869,0.000021546375,0.00025691747,0.8926084,0.00030791774,0.00003548181,0.00002401892,0.00019451595],"about_ca_topic_score_codex":0.000013496212,"about_ca_topic_score_gemma":0.00036449873,"teacher_disagreement_score":0.71774894,"about_ca_system_score_codex":0.0002771396,"about_ca_system_score_gemma":0.000025000489,"threshold_uncertainty_score":0.5203153},"labels":[],"label_agreement":null},{"id":"W2107978267","doi":"10.1109/glocom.2010.5683289","title":"Competitive Downlink Beamforming Design in Multiuser Multicell Wireless Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Telecommunications link; Beamforming; Base station; Computer science; Nash equilibrium; Transmitter power output; Uniqueness; Game theory; Mathematical optimization; Wireless; Interference (communication); Signal-to-noise ratio (imaging); Transmitter; Computer network; Telecommunications; Mathematics; Mathematical economics","score_opus":0.009382995631470626,"score_gpt":0.21412640228364185,"score_spread":0.20474340665217122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107978267","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":[0.035251267,0.00005183486,0.95565295,0.0000050870303,0.0010041181,0.0006829076,0.000004076995,0.00048640513,0.006861331],"genre_scores_gemma":[0.9074181,0.000012892249,0.092116795,0.000006835173,0.00008369417,0.00007168519,0.000008470555,0.00004829815,0.00023323555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909693,0.000028700577,0.00033427568,0.00017645069,0.00009201778,0.00027163644],"domain_scores_gemma":[0.99945486,0.00016531553,0.00003844183,0.00021441925,0.00005935039,0.00006762501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020885162,0.000171724,0.00021218414,0.00013769454,0.000033126067,0.000036271154,0.00012429515,0.00013752359,0.00002850427],"category_scores_gemma":[0.000030585714,0.00016737184,0.000023853867,0.00018359038,0.00002205928,0.00030183626,0.00001865854,0.00028887394,0.000092491966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003941044,0.000016263453,0.00014916535,0.000062723746,0.000007608835,0.00000536761,0.00030336936,0.92851955,0.0651415,0.0052147713,0.000012332557,0.00056338223],"study_design_scores_gemma":[0.00041434387,0.000008119793,0.00005074213,0.00006532571,0.0000037975267,0.000005775699,0.00050116883,0.9821819,0.015859121,0.000010351739,0.0006711657,0.00022820814],"about_ca_topic_score_codex":0.00009467705,"about_ca_topic_score_gemma":0.00030132136,"teacher_disagreement_score":0.8721668,"about_ca_system_score_codex":0.0000735831,"about_ca_system_score_gemma":0.000010403385,"threshold_uncertainty_score":0.68252254},"labels":[],"label_agreement":null},{"id":"W2108061505","doi":"10.1109/isit.2006.262037","title":"Multi-Keyhole MIMO Channels: Asymptotic Analysis of Outage Capacity","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Keyhole; Channel (broadcasting); Rank (graph theory); MIMO; Channel capacity; Gaussian; Mathematics; Topology (electrical circuits); Applied mathematics; Computer science; Telecommunications; Physics; Engineering; Combinatorics","score_opus":0.01397676550267947,"score_gpt":0.2149802645378871,"score_spread":0.20100349903520764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108061505","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":[0.09071249,0.00014036968,0.90487355,0.0000034403058,0.00015245302,0.00011455034,0.000019834864,0.0002685765,0.0037147335],"genre_scores_gemma":[0.962409,0.0000060305506,0.036642663,0.0000047936155,0.000031998163,0.000008875897,0.00003603173,0.000021640633,0.0008389476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993149,0.000013326173,0.00029276454,0.00013175281,0.00008639378,0.0001608418],"domain_scores_gemma":[0.99962217,0.000023918086,0.000046640067,0.00022259665,0.000053917265,0.000030776482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071630704,0.000116962015,0.00026914815,0.0002543608,0.000019847032,0.000010193894,0.00007824875,0.00006456471,0.00008235634],"category_scores_gemma":[0.000013743498,0.00011634623,0.00009897049,0.00069136574,0.000018450857,0.00012746267,0.000010772524,0.000050555715,0.000019492449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.9921206e-7,0.000022628457,0.0018755102,0.000029892448,0.00015193086,5.9248845e-7,0.000079684134,0.9908125,0.006706255,0.00018515554,0.00007422872,0.000061038074],"study_design_scores_gemma":[0.00019838904,0.0000055138585,0.0025097749,0.000007858343,0.00016093027,4.4281174e-7,0.000049728,0.9873503,0.009445777,0.000017353366,0.00011970701,0.00013424855],"about_ca_topic_score_codex":0.0002993288,"about_ca_topic_score_gemma":0.00038349084,"teacher_disagreement_score":0.87169653,"about_ca_system_score_codex":0.000058677448,"about_ca_system_score_gemma":0.000002602378,"threshold_uncertainty_score":0.47444615},"labels":[],"label_agreement":null},{"id":"W2108559806","doi":"10.1109/glocom.2007.719","title":"Uplink-Downlink Duality in Normalized MSE or SINR Under Imperfect Channel Knowledge","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Ontario Centres of Excellence","keywords":"Telecommunications link; Channel (broadcasting); Computer science; Channel state information; Duality (order theory); Base station; Antenna (radio); Signal-to-interference-plus-noise ratio; Mathematical optimization; Algorithm; Mathematics; Telecommunications; Topology (electrical circuits); Power (physics); Physics; Wireless; Discrete mathematics; Combinatorics","score_opus":0.020958216409077433,"score_gpt":0.2868999822371556,"score_spread":0.2659417658280782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108559806","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":[0.05152718,0.00037077346,0.9261569,0.000022625294,0.0005950778,0.0004176419,0.0000027831695,0.0006701365,0.020236904],"genre_scores_gemma":[0.9911017,0.000056601555,0.006805405,0.000042556232,0.00014459829,0.00002017644,0.000020745836,0.000056522902,0.0017517006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987619,0.000029153054,0.00047974542,0.00021901546,0.00007965295,0.00043056035],"domain_scores_gemma":[0.9993946,0.00013864398,0.00002958831,0.0002725749,0.00006114458,0.00010347477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005822423,0.00021282841,0.00026893322,0.0001933826,0.00003864223,0.00001860505,0.00011309329,0.00017051034,0.00016592711],"category_scores_gemma":[0.000058156314,0.0001832737,0.00004941152,0.000504666,0.000020729438,0.0002550116,0.00003733562,0.00018237592,0.00015383141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012345682,0.0001258866,0.0005481741,0.00020556033,0.000045185818,0.000029570896,0.0014225092,0.984954,0.006860715,0.002254377,0.0006364281,0.002794158],"study_design_scores_gemma":[0.0050763236,0.00011382524,0.0038535553,0.0001946263,0.000028464849,0.0000741133,0.0011879558,0.94430864,0.04108746,0.0005314795,0.0022202663,0.0013233038],"about_ca_topic_score_codex":0.00006659741,"about_ca_topic_score_gemma":0.0020881414,"teacher_disagreement_score":0.93957454,"about_ca_system_score_codex":0.0002430783,"about_ca_system_score_gemma":0.000025095975,"threshold_uncertainty_score":0.7473685},"labels":[],"label_agreement":null},{"id":"W2108910393","doi":"10.1109/rws.2006.1615097","title":"Mimo capacity improvement using smart passive receive antennas","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Weighting; Antenna (radio); Computer science; Smart antenna; Electronic engineering; 3G MIMO; Channel capacity; Reconfigurable antenna; Radio frequency; Limit (mathematics); Process (computing); Telecommunications; Directional antenna; Engineering; Mathematics; Antenna efficiency; Omnidirectional antenna; Acoustics; Physics; Beamforming; Channel (broadcasting)","score_opus":0.012218070906349443,"score_gpt":0.2080782411371932,"score_spread":0.19586017023084376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108910393","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":[0.1416624,0.00006845572,0.8458707,0.000010973837,0.00054453383,0.00025651997,0.000008159112,0.00037058344,0.011207669],"genre_scores_gemma":[0.9528116,0.000007630332,0.04640909,0.000024123816,0.00016985708,0.000016150185,0.000011688478,0.000036400597,0.0005134766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993043,0.000009302045,0.00022180824,0.0001241083,0.00008207983,0.00025838186],"domain_scores_gemma":[0.9996898,0.000014713379,0.000038350085,0.00015585826,0.000057910165,0.000043349195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004728844,0.0001353694,0.00013124644,0.00005765839,0.0000477757,0.000018226916,0.000050016442,0.000060625276,0.000035717523],"category_scores_gemma":[0.000010362209,0.00013281546,0.00003470415,0.00013407707,0.000015614187,0.00024653444,0.000013693755,0.000070445116,0.000021672508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003020899,0.000029809065,0.0013070792,0.000063398424,0.00003140909,0.0000028778998,0.0001223371,0.7676379,0.22707438,0.00094647764,0.0017161664,0.0010651052],"study_design_scores_gemma":[0.0005991488,0.000039670973,0.00085852353,0.00007420907,0.000026442494,0.00001720041,0.00032642143,0.7999599,0.19483109,0.00047187798,0.002207756,0.0005877902],"about_ca_topic_score_codex":0.00041327073,"about_ca_topic_score_gemma":0.00010068099,"teacher_disagreement_score":0.8111492,"about_ca_system_score_codex":0.00022554143,"about_ca_system_score_gemma":0.000005960709,"threshold_uncertainty_score":0.5416058},"labels":[],"label_agreement":null},{"id":"W2109188271","doi":"10.1109/vetec.1996.501423","title":"Modified TH-precoding with constant amplitude for indoor wireless system using QPSK","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; Phase-shift keying; Intersymbol interference; Zero-forcing precoding; Quadrature amplitude modulation; Electronic engineering; Computer science; Fading; Channel (broadcasting); Interference (communication); Control theory (sociology); Transmission (telecommunications); Wireless; Amplitude and phase-shift keying; Bit error rate; Telecommunications; Engineering; MIMO","score_opus":0.03296127234792121,"score_gpt":0.22489390878763996,"score_spread":0.19193263643971875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109188271","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":[0.03593251,0.00013149252,0.95118827,0.0000046630475,0.00021872208,0.0007012923,0.000014778387,0.000740679,0.011067588],"genre_scores_gemma":[0.93813986,0.00000770062,0.061474968,0.0000072391763,0.00006661632,0.00007383057,0.0000049435653,0.000068988484,0.00015586753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990391,0.000012105616,0.00029103903,0.00020885955,0.00009801577,0.0003508578],"domain_scores_gemma":[0.9994921,0.00006820355,0.00006007736,0.00022314698,0.000076031014,0.00008042436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095493866,0.00018811431,0.00026239723,0.000085451895,0.000095266136,0.00005356949,0.00009221225,0.000078163044,0.000019415893],"category_scores_gemma":[0.000008932378,0.00016351308,0.00003573764,0.00015925746,0.000020198258,0.00023234429,0.000012549815,0.00006947256,0.0000080075615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011463968,0.0000084927215,0.00012197424,0.00042895027,0.000052439656,0.0000033368747,0.00019075471,0.98629624,0.005326088,0.0066923127,0.000053312368,0.00081462873],"study_design_scores_gemma":[0.00072098785,0.000020230067,0.0000026044142,0.00023979343,0.000022705814,0.00003569083,0.000458412,0.9952633,0.0029163586,0.000009748912,0.000066003806,0.00024419304],"about_ca_topic_score_codex":0.000016317545,"about_ca_topic_score_gemma":0.000019498748,"teacher_disagreement_score":0.9022073,"about_ca_system_score_codex":0.00028467175,"about_ca_system_score_gemma":0.0000075116423,"threshold_uncertainty_score":0.66678697},"labels":[],"label_agreement":null},{"id":"W2109327215","doi":"10.1109/mwc.2013.6590055","title":"Resource allocation for device-to-device communications underlaying LTE-advanced networks","year":2013,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":412,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Computer network; Cellular network; Quality of service; Telecommunications link; Base station; LTE Advanced; Radio resource management; Resource allocation; Scheduling (production processes); Wireless; Wireless network; Power control; Telecommunications; Power (physics); Engineering","score_opus":0.037632262933173205,"score_gpt":0.28541516637266157,"score_spread":0.24778290343948836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109327215","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":[0.0064957207,0.0015848067,0.9802346,0.0025068994,0.00025806567,0.0027661049,0.0000262091,0.001135389,0.0049921614],"genre_scores_gemma":[0.8615776,0.0006776632,0.13313718,0.0003586363,0.00007058828,0.003441634,0.00036953273,0.00014072664,0.00022647556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821365,0.0001603277,0.00071885687,0.00029748076,0.00014223233,0.00046746578],"domain_scores_gemma":[0.99360293,0.0009067943,0.00017628768,0.004650232,0.00046434044,0.00019940134],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026950485,0.00030764294,0.00033620454,0.00020810547,0.00077431655,0.0001452251,0.0023135922,0.0001793347,0.000010393153],"category_scores_gemma":[0.00007892829,0.0003731078,0.000095903946,0.0008117349,0.00012654622,0.0006467764,0.0002841804,0.00038291642,0.00014217717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004527899,0.00007061441,0.00007730711,0.00006481179,0.00006147918,4.8560473e-8,0.0006816362,0.9504887,0.008593446,0.005216776,0.0020415266,0.032699127],"study_design_scores_gemma":[0.00042335922,0.00002348672,0.00018117565,0.00018712717,0.000037821683,0.000003059736,0.0008341455,0.9634009,0.00060934917,0.00025745734,0.033594776,0.00044732328],"about_ca_topic_score_codex":0.00007213062,"about_ca_topic_score_gemma":0.000409803,"teacher_disagreement_score":0.85508186,"about_ca_system_score_codex":0.00032171424,"about_ca_system_score_gemma":0.00003714943,"threshold_uncertainty_score":0.9998721},"labels":[],"label_agreement":null},{"id":"W2109487674","doi":"10.1109/vetec.1998.686397","title":"Beam falsing loss in switched-beam smart antenna systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Telecommunications link; Base station; Beam (structure); Time division multiple access; Antenna (radio); Computer science; Smart antenna; Degradation (telecommunications); Mobile telephony; Channel (broadcasting); Telecommunications; Directional antenna; Mobile radio; Electrical engineering; Engineering; Physics; Optics","score_opus":0.013325177571142393,"score_gpt":0.20627901554984512,"score_spread":0.19295383797870272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109487674","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":[0.12960352,0.0030114087,0.84434444,0.00004769888,0.0014467235,0.00069562724,0.000005715553,0.0014258674,0.019419031],"genre_scores_gemma":[0.9973296,0.000102257654,0.0012343413,0.000015596326,0.000094851064,0.000030278534,0.000004881611,0.000056873367,0.0011313463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898314,0.000009546456,0.0003845303,0.00019141621,0.00011190943,0.00031946317],"domain_scores_gemma":[0.9995759,0.00003694281,0.000034120825,0.00025303644,0.000035573,0.000064385255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011440131,0.00017339714,0.0002385976,0.00016102698,0.00003101868,0.000044602228,0.00010789549,0.000103842045,0.00006859983],"category_scores_gemma":[0.00002559693,0.00017653215,0.000032344284,0.0003426593,0.000013746717,0.00032431487,0.000018086977,0.0001308534,0.00020385686],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020101959,0.000026587059,0.0021193374,0.00016294376,0.000016098275,0.000024460744,0.00033229648,0.9788124,0.017274063,0.00027056775,0.00041938227,0.0005398314],"study_design_scores_gemma":[0.00034744732,0.000014664338,0.0002498054,0.00018757905,0.0000053127524,0.000044441982,0.0004125181,0.9943245,0.0033727894,0.000020865988,0.0006868679,0.00033320975],"about_ca_topic_score_codex":0.000081202576,"about_ca_topic_score_gemma":0.00004506553,"teacher_disagreement_score":0.867726,"about_ca_system_score_codex":0.0001603189,"about_ca_system_score_gemma":0.0000026017806,"threshold_uncertainty_score":0.7198772},"labels":[],"label_agreement":null},{"id":"W2109976638","doi":"10.1145/1089803.1089995","title":"Sum capacity maximization in MIMO channels with multiuser interference","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Covariance; Maximization; Covariance matrix; Precoding; Interference (communication); Channel capacity; Computer science; Multi-user MIMO; Convexity; Function (biology); Mathematics; Mathematical optimization; Topology (electrical circuits); Control theory (sociology); Telecommunications; Algorithm; Beamforming; Statistics; Combinatorics; Channel (broadcasting)","score_opus":0.014296965668295756,"score_gpt":0.20522091121628636,"score_spread":0.1909239455479906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109976638","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":[0.087968394,0.000026705804,0.9073918,0.000035999976,0.000107157044,0.00019657242,0.0000015651756,0.0002902593,0.003981534],"genre_scores_gemma":[0.954348,0.000012993978,0.045134775,0.000022191427,0.00004892424,0.000027235443,0.000007054913,0.000025999034,0.00037277828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994751,0.000010695137,0.00016656332,0.00012914164,0.00005516612,0.0001633219],"domain_scores_gemma":[0.9997598,0.000012821555,0.000019440911,0.00013583785,0.000037475547,0.00003461897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047036665,0.000112160305,0.000109417786,0.000097872115,0.000013818064,0.000017457667,0.000067672285,0.000053126878,0.00006932495],"category_scores_gemma":[0.000011283586,0.00009918212,0.000009548808,0.00019099853,0.00001259228,0.0003918459,0.00000955956,0.00008384927,0.000041104464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005003823,0.000011536755,0.001345008,0.00001872939,0.0000039162414,6.502943e-7,0.00039707997,0.9960296,0.0008205416,0.00013533453,0.000055591332,0.0011770062],"study_design_scores_gemma":[0.0004531138,0.000016872946,0.00045623627,0.00006305993,0.000002188786,0.000004919021,0.000079553574,0.9840026,0.014372502,0.00001945664,0.00034710777,0.00018242118],"about_ca_topic_score_codex":0.00004762986,"about_ca_topic_score_gemma":0.0011525407,"teacher_disagreement_score":0.8663797,"about_ca_system_score_codex":0.00010823025,"about_ca_system_score_gemma":0.000004217404,"threshold_uncertainty_score":0.40445295},"labels":[],"label_agreement":null},{"id":"W2110040147","doi":"10.1109/tcomm.2010.07.080633","title":"Limits to Performance of Optimum Combining with Dense Multiple Correlated Antennas","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Rayleigh fading; Signal-to-interference-plus-noise ratio; Interference (communication); Signal-to-noise ratio (imaging); Fading; Topology (electrical circuits); Mathematical analysis; Power (physics); Statistics; Physics; Telecommunications; Computer science; Combinatorics; Channel (broadcasting)","score_opus":0.01655576203975411,"score_gpt":0.23240446377809643,"score_spread":0.2158487017383423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110040147","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":[0.26993728,0.0000262677,0.72788656,0.00007637516,0.00031999688,0.00036771447,0.000026961172,0.0003304451,0.0010283877],"genre_scores_gemma":[0.9453694,0.000153811,0.054131646,0.000016300519,0.0000059041627,0.00012773523,0.000010707217,0.000049599323,0.00013487361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992833,0.000026938622,0.00029340063,0.00012578108,0.00009996022,0.00017062882],"domain_scores_gemma":[0.9982008,0.00021162065,0.00005565776,0.0012647159,0.00017660412,0.00009062579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008384754,0.00014988014,0.00017233245,0.0001979413,0.00022673821,0.000014846009,0.00041358452,0.00008933554,0.000017861325],"category_scores_gemma":[0.000009827646,0.00015457229,0.000037397243,0.0005210197,0.00008515328,0.00020579528,0.0000025885308,0.00049646694,0.0000459733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003175304,0.00010397693,0.00016562812,0.00002022996,0.0000374311,2.3945088e-7,0.0005394685,0.9491537,0.047921594,0.000032692187,0.000019339825,0.0019739089],"study_design_scores_gemma":[0.0006450372,0.00017193379,0.0003599252,0.00015592446,0.000040657887,0.00002182155,0.0001388213,0.93667674,0.061194703,0.0000031100014,0.00034814287,0.00024317975],"about_ca_topic_score_codex":0.00002079702,"about_ca_topic_score_gemma":0.0004674218,"teacher_disagreement_score":0.67543215,"about_ca_system_score_codex":0.000037960515,"about_ca_system_score_gemma":0.000023498389,"threshold_uncertainty_score":0.6303275},"labels":[],"label_agreement":null},{"id":"W2110090728","doi":"10.1109/icassp.2008.4518306","title":"Rate-optimal MIMO transmission with mean and covariance feedback at low SNR","year":2008,"lang":"en","type":"article","venue":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Covariance; MIMO; Ergodic theory; Covariance matrix; Beamforming; Computer science; Mathematics; Gaussian; Channel (broadcasting); Eigenvalues and eigenvectors; Algorithm; Mathematical optimization; Control theory (sociology); Applied mathematics; Statistics; Telecommunications; Artificial intelligence; Mathematical analysis","score_opus":0.020604249326491964,"score_gpt":0.23062935997535244,"score_spread":0.21002511064886048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110090728","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":[0.77359533,0.00018364673,0.22183271,0.000193948,0.00019509275,0.0003317038,0.000019974668,0.00013339377,0.0035142228],"genre_scores_gemma":[0.98270833,0.0003598747,0.016174234,0.000043716336,0.00011052127,0.000009285471,0.0000032047403,0.00003842964,0.00055241457],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988419,0.000005661196,0.000319952,0.00030076905,0.00032346087,0.00020827768],"domain_scores_gemma":[0.99908537,0.000034007935,0.00019121576,0.00005502742,0.0005441016,0.00009028583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351251,0.00025044358,0.00024544823,0.00009460845,0.00022469049,0.000087871835,0.00024267012,0.0000987757,0.000026993584],"category_scores_gemma":[0.000022021422,0.00018972694,0.00003018641,0.00012410394,0.00023797588,0.00042697781,0.00003668659,0.00022665643,0.0000018746266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061898323,0.00008291982,0.0010280381,0.0010783491,0.000100375524,0.000010573397,0.003225079,0.17086892,0.81008446,0.0006666469,0.00037244087,0.011863188],"study_design_scores_gemma":[0.0010345187,0.00013103438,0.0004658842,0.0015139385,0.00004484306,0.0002090303,0.00060783693,0.8839252,0.11122897,0.00037903307,0.00006540427,0.00039432727],"about_ca_topic_score_codex":0.0000046296773,"about_ca_topic_score_gemma":0.0000012759951,"teacher_disagreement_score":0.71305627,"about_ca_system_score_codex":0.00008464336,"about_ca_system_score_gemma":0.000044441356,"threshold_uncertainty_score":0.773684},"labels":[],"label_agreement":null},{"id":"W2110215333","doi":"10.1109/ccece.2009.5090230","title":"Power allocation strategy for MIMO system based on beam-nulling","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; MIMO; Transmitter; Computer science; Bandwidth (computing); Electronic engineering; Subspace topology; Eigenvalues and eigenvectors; Beam (structure); Power (physics); Signal-to-noise ratio (imaging); Topology (electrical circuits); Control theory (sociology); Mathematical optimization; Telecommunications; Mathematics; Physics; Engineering; Electrical engineering; Optics","score_opus":0.011067837264611803,"score_gpt":0.22939113102179176,"score_spread":0.21832329375717996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110215333","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":[0.0011643363,0.000041795196,0.973594,0.00003319881,0.00020920306,0.00046331063,0.0000045144575,0.0007206748,0.02376895],"genre_scores_gemma":[0.9805269,0.0000011986676,0.01904503,0.000055883473,0.000062371284,0.00003720776,0.000034575078,0.000028390357,0.00020844549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999395,0.0000068523455,0.00020853299,0.00014314674,0.00007809921,0.00016834086],"domain_scores_gemma":[0.99964154,0.0000397568,0.000029171904,0.00018299877,0.00006419828,0.00004231628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008998983,0.00012297656,0.00012021273,0.00007811772,0.000041217496,0.00002680264,0.00006192872,0.000073038624,0.000014592515],"category_scores_gemma":[0.000012121362,0.00012129115,0.00003745713,0.00010389228,0.0000030065385,0.000121644625,0.0000011658484,0.000045373265,0.00002352483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008288248,0.000009401014,0.0000026111509,0.000057101137,0.000003930795,3.775566e-7,0.000016508084,0.9919247,0.003109479,0.0038733103,0.0002872151,0.00070709473],"study_design_scores_gemma":[0.00034787622,0.00011030851,0.000029260418,0.00008102999,0.0000051560282,0.0000010110618,0.00011410167,0.9876746,0.011120812,0.000036877515,0.00033131166,0.00014763277],"about_ca_topic_score_codex":0.0000017217188,"about_ca_topic_score_gemma":0.0000015792419,"teacher_disagreement_score":0.97936255,"about_ca_system_score_codex":0.00013623913,"about_ca_system_score_gemma":0.000010270378,"threshold_uncertainty_score":0.49461097},"labels":[],"label_agreement":null},{"id":"W2110252337","doi":"10.1109/glocom.2009.5426155","title":"Vector Perturbation Precoding for MIMO Broadcast Channel with Quantized Channel Feedback","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Precoding; MIMO; Control theory (sociology); Base station; Channel state information; Computer science; Channel (broadcasting); Mathematics; Quantization (signal processing); Zero-forcing precoding; Algorithm; Topology (electrical circuits); Telecommunications; Wireless","score_opus":0.01575534965753247,"score_gpt":0.22456290657852104,"score_spread":0.20880755692098857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110252337","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":[0.0032766096,0.00021230071,0.99032867,0.00015906406,0.00031466398,0.00086134195,0.000009563507,0.0007286044,0.004109199],"genre_scores_gemma":[0.9680329,0.000036737045,0.029543174,0.000058296402,0.00023287436,0.000093360766,0.000056186458,0.0000598852,0.0018865693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916035,0.000009270873,0.0002272491,0.00021926893,0.00009248042,0.00029140807],"domain_scores_gemma":[0.99956256,0.00004596441,0.000051654515,0.00017455917,0.00009837029,0.0000668984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007867229,0.00020093238,0.00021579853,0.00009919568,0.000078464574,0.000043073138,0.00008470273,0.00008549092,0.000017582362],"category_scores_gemma":[0.000031466996,0.00017574443,0.000045939007,0.00018898128,0.000008593885,0.00036582668,0.0000049066857,0.000065790475,0.000016360193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120177836,0.00003565448,0.0000066217785,0.00014435638,0.00004300271,0.0000010255255,0.00089368667,0.9819059,0.009675142,0.0015916261,0.0012291381,0.0043536983],"study_design_scores_gemma":[0.0014898526,0.00022087169,0.00011860203,0.00011412461,0.000020366084,0.00001134183,0.00022196969,0.98577684,0.010724623,0.00036754622,0.0005611184,0.00037274015],"about_ca_topic_score_codex":0.0000036048589,"about_ca_topic_score_gemma":0.000009732628,"teacher_disagreement_score":0.9647563,"about_ca_system_score_codex":0.00008869238,"about_ca_system_score_gemma":0.000009141791,"threshold_uncertainty_score":0.71666497},"labels":[],"label_agreement":null},{"id":"W2110312148","doi":"10.1109/isit.2011.6033841","title":"Mean-variance optimal linear precoders for random MISO broadcast channels","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Randomness; Channel (broadcasting); Constraint (computer-aided design); Gaussian; Mathematical optimization; Computer science; Variance (accounting); Imperfect; Mathematics; Algorithm; Control theory (sociology); Statistics; Telecommunications; Artificial intelligence","score_opus":0.025198886666101716,"score_gpt":0.23009538719534878,"score_spread":0.20489650052924707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110312148","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":[0.0005886652,0.0002447484,0.9816503,0.0000071929394,0.00069607736,0.0006565265,0.000011104252,0.00040676232,0.0157386],"genre_scores_gemma":[0.45876655,0.00004935468,0.53576183,0.000030264768,0.00026961634,0.0002433596,0.00002379365,0.000102279606,0.0047529675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992392,0.000010255102,0.00024197236,0.00018842873,0.00005571192,0.00026442014],"domain_scores_gemma":[0.9995837,0.0000422079,0.00003473245,0.00020292425,0.00006691829,0.00006948061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103052014,0.0001590744,0.00019843427,0.000052173695,0.000045411125,0.0000133744325,0.00011826225,0.000087580105,0.00027759254],"category_scores_gemma":[0.000021444757,0.00015698312,0.000065147964,0.000090396614,0.000016327673,0.00026052713,0.000012699311,0.000060131457,0.00010861906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008236451,0.000014535265,0.00002164875,0.000080328165,0.000041073516,7.226023e-7,0.0012118743,0.9957718,0.00048771658,0.00029191643,0.0011236519,0.00087234884],"study_design_scores_gemma":[0.0020169802,0.000040169918,0.0000063475486,0.000030135116,0.000016910493,0.000006163779,0.00015537266,0.97866803,0.015392064,0.00008203103,0.003322093,0.00026371118],"about_ca_topic_score_codex":0.000016148815,"about_ca_topic_score_gemma":0.0000059076,"teacher_disagreement_score":0.4581779,"about_ca_system_score_codex":0.000033641714,"about_ca_system_score_gemma":0.000008055811,"threshold_uncertainty_score":0.6401586},"labels":[],"label_agreement":null},{"id":"W2110376090","doi":"10.1109/vetecf.2011.6092866","title":"Efficient User Selection for Downlink Zero-Forcing Based Multiuser MIMO Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Telecommunications link; Base station; MIMO; Computer science; Multi-user MIMO; Orthogonality; Zero-forcing precoding; Algorithm; Selection (genetic algorithm); Channel (broadcasting); Selection algorithm; Transmission (telecommunications); Electronic engineering; Mathematics; Computer network; Telecommunications; Engineering","score_opus":0.018811085335680103,"score_gpt":0.214598816305628,"score_spread":0.1957877309699479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110376090","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":[0.010803151,0.000062584324,0.9844846,0.0000026683472,0.0007977347,0.0008943827,0.0000069633084,0.0008732252,0.0020746517],"genre_scores_gemma":[0.8918472,0.0000011444793,0.107277304,0.000012770212,0.00007774297,0.00020779284,0.000013938308,0.000066323744,0.000495816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911374,0.000015804286,0.00030703782,0.00020020883,0.000086507855,0.0002767313],"domain_scores_gemma":[0.9995356,0.00004961689,0.00004781993,0.00017641537,0.00012550934,0.000065027794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001506433,0.00016957596,0.00017192391,0.00012721172,0.000074095355,0.000024650893,0.00007656279,0.000111070935,0.0000359158],"category_scores_gemma":[0.000026996468,0.00015977887,0.000057134803,0.00018561064,0.0000083169525,0.000089545654,0.0000073643973,0.00006883163,0.000038496248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012258356,0.00001881551,0.00026417407,0.00016006199,0.000017075927,2.08391e-7,0.00013099072,0.9926188,0.005504451,0.00079735834,0.00031630968,0.00015948778],"study_design_scores_gemma":[0.00044689447,0.00003116725,0.00004872488,0.000051126033,0.000015895273,0.000002420974,0.000067189154,0.979879,0.01860872,0.000009387735,0.0006359373,0.0002035004],"about_ca_topic_score_codex":0.00009007125,"about_ca_topic_score_gemma":0.000025326392,"teacher_disagreement_score":0.88104403,"about_ca_system_score_codex":0.00014327413,"about_ca_system_score_gemma":0.000011226858,"threshold_uncertainty_score":0.6515593},"labels":[],"label_agreement":null},{"id":"W2111045378","doi":"10.1186/1687-1499-2011-133","title":"Improved and weighted sum rate maximization for successive zero-forcing in multiuser MIMO systems","year":2011,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Western Canada Research Grid","keywords":"Maximization; Computer science; Covariance; MIMO; Conjugate gradient method; Algorithm; Precoding; Mathematical optimization; Quality of service; Mathematics; Statistics; Telecommunications; Beamforming","score_opus":0.03293191703360719,"score_gpt":0.2468494711289541,"score_spread":0.2139175540953469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111045378","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":[0.10486052,0.009064258,0.88391507,0.000056373123,0.0007140934,0.00077942095,0.000006909406,0.00012816692,0.00047517914],"genre_scores_gemma":[0.98170674,0.008522809,0.009482349,0.00001792574,0.00010370401,0.00006896611,0.000017486233,0.00005460428,0.000025393543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998894,0.00014278704,0.000508122,0.00014907136,0.00005384778,0.0002522149],"domain_scores_gemma":[0.99888295,0.00032829458,0.00023444158,0.00035201982,0.00011455784,0.0000877139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047220514,0.00018299402,0.00025761413,0.00019903146,0.0003612161,0.00012449286,0.00023113047,0.00009617428,0.0000012600248],"category_scores_gemma":[0.00001667185,0.00017757625,0.00003010751,0.00022453831,0.000045084525,0.0003725419,0.000060732593,0.00032410896,3.397661e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058912433,0.00036495514,0.04259628,0.0008325787,0.0005442742,0.000030900457,0.015611046,0.6734769,0.0131520685,0.012152331,0.00024788355,0.2404017],"study_design_scores_gemma":[0.000892577,0.00004886102,0.00045032994,0.0005852526,0.000018877077,0.000027013732,0.00024120031,0.99669033,0.0001365067,0.0001502725,0.0005518943,0.0002069059],"about_ca_topic_score_codex":0.000024620178,"about_ca_topic_score_gemma":0.00006236194,"teacher_disagreement_score":0.87684625,"about_ca_system_score_codex":0.0000828027,"about_ca_system_score_gemma":0.000011379782,"threshold_uncertainty_score":0.7241349},"labels":[],"label_agreement":null},{"id":"W2111076496","doi":"10.1109/tit.2007.913239","title":"On Slow-Fading MIMO Systems With Nonseparable Correlation","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Emphasis (telecommunications); Fading; Mathematics; Eigenvalues and eigenvectors; Gaussian; Matrix (chemical analysis); MIMO; Block (permutation group theory); Channel (broadcasting); Applied mathematics; Algorithm; Combinatorics; Computer science; Telecommunications; Physics; Decoding methods","score_opus":0.006191535858958085,"score_gpt":0.18529067236615554,"score_spread":0.17909913650719744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111076496","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":[0.0064390195,0.0000228467,0.97263837,0.000005381408,0.0010809621,0.00046677052,0.000027916602,0.00069801457,0.018620696],"genre_scores_gemma":[0.9977028,0.000043451244,0.0010964216,0.000048954902,0.000026094114,0.00014769688,0.000024138593,0.000035180063,0.00087531225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990207,0.000049073664,0.00039642907,0.00010292427,0.00022127925,0.00020962015],"domain_scores_gemma":[0.9992957,0.00017530956,0.00009838152,0.00026251603,0.00009692253,0.000071142815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017655802,0.00020453302,0.00017027032,0.00036659738,0.00031931905,0.000041329145,0.000084847765,0.00011664882,0.000053739343],"category_scores_gemma":[0.0000068751556,0.00019208819,0.000047138314,0.0003392782,0.000041784046,0.0016123002,2.9620386e-7,0.00024347154,0.0006138657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114273,0.000016996803,0.0000022205134,0.000053942465,0.000033787175,0.0000012692035,0.0011149772,0.9946089,0.00004289123,0.0024999704,0.00028514134,0.0012256333],"study_design_scores_gemma":[0.001163511,0.00019293398,0.000017237218,0.00024302037,0.000030751802,0.00014228592,0.0006196269,0.9917829,0.0042068586,0.00018462651,0.0010022697,0.0004139896],"about_ca_topic_score_codex":0.0000064777987,"about_ca_topic_score_gemma":0.0000015502636,"teacher_disagreement_score":0.99126375,"about_ca_system_score_codex":0.00022410681,"about_ca_system_score_gemma":0.00002656941,"threshold_uncertainty_score":0.7890206},"labels":[],"label_agreement":null},{"id":"W2111088040","doi":"10.1109/icassp.2004.1326848","title":"Performance analysis of non-linearly amplified M-QAM signals in MIMO channels","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"MIMO; Fading; Quadrature amplitude modulation; 3G MIMO; Precoding; QAM; Computer science; Channel (broadcasting); Linearity; Multi-user MIMO; Electronic engineering; Topology (electrical circuits); Telecommunications; Mathematics; Bit error rate; Engineering","score_opus":0.011715670506100081,"score_gpt":0.23362190612527195,"score_spread":0.22190623561917186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111088040","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":[0.5116643,0.000035939975,0.48625848,0.0000065182508,0.000068539965,0.00012155886,0.000002969071,0.00007417111,0.001767584],"genre_scores_gemma":[0.99069405,0.000038146667,0.009061782,0.000009653845,0.000022771002,0.000018522776,0.000016562602,0.000018939487,0.00011955367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992564,0.0000054294005,0.00034698646,0.00012710181,0.00009204589,0.00017206275],"domain_scores_gemma":[0.99966484,0.000018773162,0.000043051496,0.00018892359,0.00004927875,0.00003512031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103114966,0.00011049505,0.00029277333,0.00044760428,0.000012352862,0.000008693015,0.000092797076,0.00006311441,0.000045003948],"category_scores_gemma":[0.000008420696,0.00011034776,0.000058360016,0.0012993069,0.000012100757,0.0002104916,0.000011194646,0.00006277002,0.00001691302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034407385,0.000014010249,0.0015114247,0.000041146242,0.000087947024,7.4765785e-7,0.00029529943,0.9884682,0.009261419,0.000030626514,0.0000047026474,0.00028101183],"study_design_scores_gemma":[0.00038274322,0.000023961578,0.0035077755,0.000042220985,0.000051758678,4.2372528e-7,0.000064334236,0.9634836,0.03228404,0.00001318206,0.000009774713,0.00013622905],"about_ca_topic_score_codex":0.00008817632,"about_ca_topic_score_gemma":0.0000696292,"teacher_disagreement_score":0.4790298,"about_ca_system_score_codex":0.00007252283,"about_ca_system_score_gemma":0.000009945373,"threshold_uncertainty_score":0.44998512},"labels":[],"label_agreement":null},{"id":"W2111356063","doi":"10.1109/twc.2008.060482","title":"Modeling wireless fading channels via stochastic differential equations: identification and estimation based on noisy measurements","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; University of Ottawa","funders":"","keywords":"Fading; Kalman filter; Stochastic differential equation; Channel state information; Wireless; Computer science; Estimation theory; State-space representation; Channel (broadcasting); State space; Algorithm; Mathematics; Expectation–maximization algorithm; Stochastic process; Mathematical optimization; Applied mathematics; Telecommunications; Statistics; Maximum likelihood","score_opus":0.05613730314877066,"score_gpt":0.26597016433005816,"score_spread":0.2098328611812875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111356063","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":[0.023616383,0.00008358951,0.9742471,0.00009429504,0.0005097346,0.0007666137,0.000038274404,0.0005917105,0.00005230273],"genre_scores_gemma":[0.99344194,0.00015958604,0.005464381,0.000022285345,0.000029909219,0.00063289655,0.00011322003,0.00009495255,0.000040847386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982017,0.00014516276,0.00065230095,0.00034480373,0.0003716194,0.0002844046],"domain_scores_gemma":[0.99803466,0.00027485949,0.000117483345,0.0012395228,0.00021090351,0.00012258142],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017611313,0.00032704463,0.00028680885,0.0005096252,0.0011001666,0.000074829026,0.00040939447,0.00015828753,0.000012840259],"category_scores_gemma":[0.00001789203,0.00039335788,0.000087032575,0.0004887781,0.00011575576,0.0005060707,0.000004897412,0.00039417925,0.00004026117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016270633,0.00018069029,0.000002092256,0.00004005421,0.000042183783,2.5330667e-7,0.00053016335,0.9802171,0.0089530405,0.000063697764,0.00000332144,0.009951145],"study_design_scores_gemma":[0.0006416099,0.000035638215,0.000012141935,0.00020518141,0.0000651185,0.0000064221067,0.000046225116,0.9934096,0.005184709,0.000057836303,0.0000012735726,0.00033424117],"about_ca_topic_score_codex":0.000040795498,"about_ca_topic_score_gemma":0.000047511257,"teacher_disagreement_score":0.96982557,"about_ca_system_score_codex":0.00032230557,"about_ca_system_score_gemma":0.0000386459,"threshold_uncertainty_score":0.9998518},"labels":[],"label_agreement":null},{"id":"W2111561875","doi":"10.1109/icc.2006.255081","title":"Sensor Networks for Estimating and Updating the Performance of Cellular Systems","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Path loss; Computer science; Base station; Stochastic geometry; Coverage probability; Cellular network; Interference (communication); Outage probability; Fading; Signal-to-noise ratio (imaging); False alarm; Signal-to-interference-plus-noise ratio; Real-time computing; SIGNAL (programming language); Shadow mapping; Electronic engineering; Algorithm; Power (physics); Statistics; Telecommunications; Mathematics; Decoding methods; Engineering; Wireless","score_opus":0.036618688007675815,"score_gpt":0.2774882505871868,"score_spread":0.24086956257951098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111561875","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":[0.02144617,0.0002963786,0.9665604,0.00021951263,0.0006194756,0.0004479695,0.000061521176,0.00010353017,0.010244998],"genre_scores_gemma":[0.9555719,0.00010774433,0.04376746,0.000008837656,0.00012989256,0.00012579068,0.000103133185,0.000018904033,0.00016636665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993251,0.000032082757,0.00034805996,0.00009228042,0.00009535324,0.00010711106],"domain_scores_gemma":[0.99891925,0.00024900388,0.00014288566,0.00043508428,0.00023824428,0.000015524916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017829223,0.00010101478,0.00011389891,0.00005647782,0.00015658503,0.00005540711,0.00041398554,0.000044690703,0.000004086679],"category_scores_gemma":[0.000024200372,0.00008974376,0.000024403966,0.00007563727,0.000073833064,0.00012327697,0.00003607104,0.00012367389,0.0000023214645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028547352,0.0000115408075,0.0002037557,0.000028282733,0.000015873906,3.8801346e-8,0.000037615773,0.96694094,0.0027725995,0.029206552,0.00019662626,0.00058333395],"study_design_scores_gemma":[0.00014066274,0.000014713362,0.00006123484,0.00013468925,0.000008615518,0.0000028328238,0.00011810664,0.99836475,0.0006310233,0.00008433368,0.0003531355,0.00008591542],"about_ca_topic_score_codex":0.000054531414,"about_ca_topic_score_gemma":0.000021594502,"teacher_disagreement_score":0.9341257,"about_ca_system_score_codex":0.000043234075,"about_ca_system_score_gemma":0.000011349227,"threshold_uncertainty_score":0.3659644},"labels":[],"label_agreement":null},{"id":"W2112090704","doi":"10.1109/tit.2009.2027529","title":"Rate of Channel Hardening of Antenna Selection Diversity Schemes and Its Implication on Scheduling","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; Scheduling (production processes); Channel (broadcasting); Ergodic theory; Diversity gain; Channel capacity; Fading; Selection (genetic algorithm)","score_opus":0.00838262974683803,"score_gpt":0.20911250716652008,"score_spread":0.20072987741968204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112090704","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":[0.086973265,0.000027273407,0.9121382,0.000014262914,0.000119844924,0.00019981535,0.00001736047,0.00013211218,0.00037783687],"genre_scores_gemma":[0.9988186,0.000090739086,0.0010193635,0.000025568474,0.000009295163,0.00000790953,0.0000062260306,0.0000068332024,0.000015464953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994231,0.000027907765,0.00030459525,0.00006695877,0.00008264994,0.00009480391],"domain_scores_gemma":[0.9995476,0.00005209414,0.00013355006,0.00009016491,0.0001462075,0.000030409255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022316206,0.00010429664,0.0001314031,0.00029073408,0.00013582964,0.000009571707,0.0000535215,0.0000738825,0.000010209911],"category_scores_gemma":[0.0000130403705,0.0001144269,0.000036934744,0.00023203765,0.00001544663,0.0009474155,9.276033e-7,0.00011387512,0.000007540632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009231591,0.00001803225,0.0000019254169,0.00009024003,0.000023909846,2.4571973e-8,0.0011532174,0.965314,0.022165151,0.0021820657,0.000002221976,0.008956949],"study_design_scores_gemma":[0.00050834584,0.00014163893,0.00016755905,0.00014136314,0.000026462949,0.0000036900547,0.00040167692,0.516101,0.4815362,0.00082100474,0.000009679065,0.00014138814],"about_ca_topic_score_codex":0.000001623715,"about_ca_topic_score_gemma":4.2524252e-7,"teacher_disagreement_score":0.9118453,"about_ca_system_score_codex":0.000053728632,"about_ca_system_score_gemma":0.000007478352,"threshold_uncertainty_score":0.46661934},"labels":[],"label_agreement":null},{"id":"W2112400795","doi":"10.1007/s11276-013-0594-9","title":"Base station selection and resource allocation in macro–femtocell networks under noisy scenario","year":2013,"lang":"en","type":"article","venue":"Wireless Networks","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":"University of Ottawa; École de Technologie Supérieure; Université du Québec; Université du Québec à Montréal","funders":"","keywords":"Femtocell; Computer science; Base station; Bandwidth (computing); Computer network; Telecommunications link; Macro; Transmitter power output; Signal-to-interference-plus-noise ratio; Software deployment; Resource allocation; Femto-; Power (physics); Transmitter","score_opus":0.005667651175277208,"score_gpt":0.1897405805757168,"score_spread":0.1840729294004396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112400795","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":[0.12602645,0.0005218231,0.8719787,0.00005251734,0.00019678513,0.00059496856,8.1028855e-7,0.0002878838,0.0003400781],"genre_scores_gemma":[0.9969639,0.00025238295,0.002000818,0.000073451505,0.00023856171,0.00014300474,0.00011066842,0.00007568994,0.00014152122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987992,0.00007279901,0.0003684993,0.00028413066,0.00010496519,0.0003704292],"domain_scores_gemma":[0.99950445,0.000078889025,0.00008062277,0.0001704909,0.00007303004,0.00009253975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016964304,0.00021524343,0.00019961064,0.00013134777,0.000082646795,0.0000909922,0.00007511992,0.00023463482,0.000029272316],"category_scores_gemma":[0.0000072378184,0.00024524488,0.000021723128,0.0004759574,0.000025086569,0.00044075097,0.000022621758,0.0003200363,0.0000130090675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009833259,0.000013183464,0.0017209746,0.00003196804,0.0000099120225,8.148736e-7,0.00013729552,0.9829988,0.00037360738,0.00017282767,0.00082422345,0.013706569],"study_design_scores_gemma":[0.00048319323,0.00001858211,0.0038887535,0.00009153693,0.000008265172,0.0000061888845,0.00012878992,0.99481297,0.00009365947,0.00007546136,0.00014498511,0.00024761568],"about_ca_topic_score_codex":0.00021055192,"about_ca_topic_score_gemma":0.0006926436,"teacher_disagreement_score":0.87093747,"about_ca_system_score_codex":0.00022064861,"about_ca_system_score_gemma":0.000010583814,"threshold_uncertainty_score":1},"labels":[],"label_agreement":null},{"id":"W2112416391","doi":"10.1109/vetecs.2009.5073421","title":"BER Performance of MIMO-SM with Zero-Forcing in Spatially Correlated Ricean Fading","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Phase-shift keying; MIMO; Fading; Spatial multiplexing; Bit error rate; Multiplexing; Computer science; Keying; Spatial correlation; Algorithm; Electronic engineering; Mathematics; Telecommunications; Engineering; Decoding methods; Channel (broadcasting)","score_opus":0.004624499962119139,"score_gpt":0.18346746182952378,"score_spread":0.17884296186740464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112416391","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":[0.58473414,0.00004525148,0.40265924,0.000005871834,0.00006657907,0.0001605913,4.9099424e-7,0.00016342613,0.0121643795],"genre_scores_gemma":[0.9789258,0.00002042229,0.02077113,0.000011114137,0.000012444248,0.0000028497436,0.0000055607425,0.00002190517,0.00022877658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993479,0.000006827602,0.00026794604,0.00010959684,0.00008546332,0.0001822545],"domain_scores_gemma":[0.9997318,0.00001676799,0.00004917352,0.00013416662,0.000038260874,0.00002987432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007137086,0.00011872614,0.00017204288,0.00013075848,0.000019288273,0.0000070735778,0.00006634222,0.00005893624,0.000017391405],"category_scores_gemma":[0.0000074430027,0.00010637476,0.000014145763,0.00032611066,0.000009005473,0.00029564745,0.0000058031715,0.00010818054,0.0000070718415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012867437,0.00000790479,0.006434085,0.000037467464,0.0000064161795,0.0000022487816,0.00031521107,0.98616797,0.0044605215,0.00010084913,0.000014651983,0.0024398034],"study_design_scores_gemma":[0.0005575387,0.00010194825,0.005349678,0.00024164347,0.0000067665624,0.00000817501,0.00003979423,0.9818468,0.011642215,0.000014183964,0.000017016833,0.00017423577],"about_ca_topic_score_codex":0.000028082575,"about_ca_topic_score_gemma":0.000043606302,"teacher_disagreement_score":0.39419162,"about_ca_system_score_codex":0.00007109847,"about_ca_system_score_gemma":0.000008787459,"threshold_uncertainty_score":0.43378368},"labels":[],"label_agreement":null},{"id":"W2112417096","doi":"10.1109/icassp.2009.4960102","title":"Outage-based designs for multi-user transceivers","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transceiver; Quality of service; Computer science; Transmitter; Channel state information; Transmitter power output; Interference (communication); Channel (broadcasting); Upper and lower bounds; Mathematical optimization; Antenna (radio); Base station; Signal-to-noise ratio (imaging); Mean squared error; Computer network; Wireless; Telecommunications; Mathematics; Statistics","score_opus":0.03619894773037491,"score_gpt":0.2623318286487824,"score_spread":0.2261328809184075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112417096","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":[0.0003081329,0.00003255464,0.99708796,0.000041453324,0.00009946455,0.0003787241,0.0000064044257,0.0005384081,0.0015069001],"genre_scores_gemma":[0.66759515,0.0000023465927,0.33114392,0.00009467484,0.000023142662,0.000021405025,0.000011399413,0.000021581707,0.0010863846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996135,0.0000044791427,0.00011059881,0.00009163574,0.000035277695,0.0001445082],"domain_scores_gemma":[0.9998079,0.000019789533,0.000009338325,0.00009879776,0.000025733796,0.000038459388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036220692,0.0000889626,0.00008830695,0.000045379198,0.000025948419,0.000010090914,0.000053633958,0.000048460388,0.00002741926],"category_scores_gemma":[0.000008361919,0.00008865756,0.000045068424,0.00006479018,0.0000048851484,0.000105049854,3.0151185e-7,0.000030321575,0.000013955422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067912033,0.000012160242,0.000014887614,0.000019455676,0.0000053433446,5.122726e-7,0.0000663395,0.9814774,0.015636127,0.00048915105,0.00042725325,0.0018446022],"study_design_scores_gemma":[0.0014391195,0.00005309024,0.00009163368,0.000014683291,0.000011553333,4.5124062e-7,0.000045479563,0.9468689,0.047630873,0.000029794346,0.0036214981,0.00019290463],"about_ca_topic_score_codex":0.0000012423031,"about_ca_topic_score_gemma":0.0000070113592,"teacher_disagreement_score":0.667287,"about_ca_system_score_codex":0.000041570736,"about_ca_system_score_gemma":0.000005898164,"threshold_uncertainty_score":0.36153504},"labels":[],"label_agreement":null},{"id":"W2112657180","doi":"10.1109/tit.2011.2111630","title":"Correction of Convergence Proof for Iterative Water-Filling in Gaussian MIMO Broadcast Channels","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Convergence (economics); Gaussian; MIMO; Algorithm; Applied mathematics; Mathematics; Computer science; Antenna (radio); Topology (electrical circuits); Power (physics); Iterative method; Mathematical optimization; Theoretical computer science; Telecommunications; Discrete mathematics; Combinatorics; Channel (broadcasting); Physics","score_opus":0.01291361571096476,"score_gpt":0.21360702392163136,"score_spread":0.2006934082106666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112657180","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":[0.003702573,0.000010108278,0.99075174,0.0000024904925,0.0023868876,0.000642514,0.00003406129,0.00012040808,0.002349194],"genre_scores_gemma":[0.99729365,0.00001619462,0.0022020012,0.00001248422,0.000016639657,0.0002637261,0.000020917538,0.000017855731,0.00015653443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991562,0.000031888118,0.00048784804,0.000079035955,0.00007565559,0.00016937891],"domain_scores_gemma":[0.99959296,0.00005582971,0.000078967634,0.00012982833,0.000108755026,0.000033680564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023360542,0.00013531628,0.00015350003,0.00034936535,0.000065608285,0.000012311258,0.00007125001,0.0000907905,0.00010044252],"category_scores_gemma":[0.0000073267847,0.00012463478,0.000054285018,0.0001807871,0.000029564173,0.0013473673,4.6585282e-7,0.00011841279,0.000026300413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012870447,0.00002753395,0.0000016292696,0.00014075013,0.000020009293,1.0181666e-7,0.018403841,0.9651035,0.0012000264,0.0003296898,0.000014214304,0.014630017],"study_design_scores_gemma":[0.00041993885,0.00008519006,0.000004192086,0.00011731695,0.000009349806,0.0000030056544,0.0012643221,0.41504398,0.58235955,0.00043757897,0.00011920434,0.000136378],"about_ca_topic_score_codex":0.000009656663,"about_ca_topic_score_gemma":0.0000070619094,"teacher_disagreement_score":0.99359107,"about_ca_system_score_codex":0.000088479224,"about_ca_system_score_gemma":0.00001013059,"threshold_uncertainty_score":0.5082459},"labels":[],"label_agreement":null},{"id":"W2112947604","doi":"10.1109/isit.2010.5513393","title":"Relay-aided Interference Alignment for the quasi-static interference channel","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Interference (communication); Channel (broadcasting); MIMO; Computer science; Power (physics); Relay channel; Topology (electrical circuits); Interference alignment; Transmitter power output; Electronic engineering; Transmitter; Telecommunications; Electrical engineering; Engineering; Physics","score_opus":0.017906532571368497,"score_gpt":0.24613250997615468,"score_spread":0.22822597740478617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112947604","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":[0.002308572,0.000046910365,0.99348044,0.00019762736,0.0013437283,0.0005691822,0.000009653824,0.00028506998,0.001758806],"genre_scores_gemma":[0.9811649,0.000027904576,0.017353773,0.00006521752,0.00008454609,0.00029120015,0.000008329799,0.00003606161,0.00096807705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927014,0.000009748189,0.00025974866,0.00016653886,0.00006732767,0.00022648295],"domain_scores_gemma":[0.99925214,0.00024558077,0.000041014257,0.0003475536,0.000062399165,0.00005133868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015380034,0.00015392361,0.00013702743,0.000042013537,0.000064901746,0.0000417424,0.00026303198,0.00006259416,0.00008267202],"category_scores_gemma":[0.00009767532,0.00010794362,0.000041909836,0.00008830257,0.00003296809,0.0001582245,0.000037272795,0.00017257626,0.000050441206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082916755,0.0001392909,0.000095182426,0.0005259532,0.00025626854,0.0000032361427,0.0066318735,0.82606274,0.07536675,0.04403241,0.014475508,0.03232784],"study_design_scores_gemma":[0.000295646,0.000077811164,0.00001573786,0.000050045455,0.00001597291,0.000007008648,0.0006019008,0.9819958,0.0143719055,0.0010586224,0.0013073335,0.00020219086],"about_ca_topic_score_codex":0.000015538542,"about_ca_topic_score_gemma":0.0001674151,"teacher_disagreement_score":0.9788563,"about_ca_system_score_codex":0.000040351675,"about_ca_system_score_gemma":0.0000094834095,"threshold_uncertainty_score":0.44018131},"labels":[],"label_agreement":null},{"id":"W2112960442","doi":"10.1109/icc.2007.867","title":"On the Effect of Interference on the Average Degrees of Freedom in MIMO Fading Ad-Hoc Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Degrees of freedom (physics and chemistry); Fading; Wireless ad hoc network; Rayleigh fading; Interference (communication); Beamforming; Computer science; Transmitter; Channel state information; Channel (broadcasting); Multi-user MIMO; Topology (electrical circuits); Mathematics; Telecommunications; Wireless; Physics; Combinatorics","score_opus":0.008511937473636613,"score_gpt":0.21544440059235417,"score_spread":0.20693246311871755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112960442","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":[0.31493828,0.00022358338,0.6749157,0.000013573954,0.00020282688,0.00036508968,0.0000010965164,0.000055213262,0.009284679],"genre_scores_gemma":[0.9993185,0.00003424325,0.0005324715,0.000007816857,0.000021183952,0.000010295102,9.86362e-7,0.000019240966,0.000055283574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999344,0.000058895002,0.00026233515,0.000092586866,0.00008608595,0.00015609359],"domain_scores_gemma":[0.9980687,0.0015847115,0.000057379682,0.00025650708,0.0000173249,0.000015358613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057494116,0.00011971918,0.00016798356,0.000072295275,0.000019701614,0.0000060303473,0.00018082839,0.00005980119,0.0000421332],"category_scores_gemma":[0.00013297066,0.000064189,0.00003851807,0.00020946034,0.00003071753,0.000045986213,0.000022411255,0.00018255923,0.00000465233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004442544,0.0000047732083,0.00041136067,0.000025461217,0.00001132041,8.668555e-7,0.000195966,0.9942007,0.0009259553,0.0022935802,0.00007501227,0.0018105663],"study_design_scores_gemma":[0.00027454685,0.0002461442,0.0006845044,0.00042504078,0.00000437563,8.0499e-7,0.00011568115,0.9807801,0.017331956,0.000027842822,0.000016218954,0.00009276402],"about_ca_topic_score_codex":0.000017222248,"about_ca_topic_score_gemma":0.00019445803,"teacher_disagreement_score":0.6843802,"about_ca_system_score_codex":0.000049068534,"about_ca_system_score_gemma":0.000001833899,"threshold_uncertainty_score":0.26175514},"labels":[],"label_agreement":null},{"id":"W2113242314","doi":"10.1109/lsp.2009.2016486","title":"Near-Optimum Pilot and Data Symbols Power Allocation for MIMO Spatial Multiplexing System With Zero-Forcing Receiver","year":2009,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"NovAtel (Canada)","funders":"","keywords":"MIMO; Channel (broadcasting); Fading; Phase-shift keying; Algorithm; Computer science; Spatial multiplexing; Minimum mean square error; Multiplexing; Signal-to-noise ratio (imaging); Quadrature amplitude modulation; Mathematics; Bit error rate; Electronic engineering; Control theory (sociology); Telecommunications; Statistics; Engineering; Estimator","score_opus":0.022508672688732006,"score_gpt":0.24420718359586885,"score_spread":0.22169851090713685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113242314","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":[0.0351741,0.00019272692,0.9630878,0.0001744509,0.00016508347,0.0006413813,0.000021639893,0.0004687809,0.000074020085],"genre_scores_gemma":[0.94168836,0.0000021602536,0.057732474,0.00021001566,0.00017209059,0.000031497795,0.00008115564,0.000073121875,0.000009148022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986306,0.000023563965,0.00033878826,0.00045794607,0.00018745703,0.0003616645],"domain_scores_gemma":[0.9993222,0.000060686893,0.00013652575,0.00030314535,0.00009452694,0.00008290975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023116864,0.0002798696,0.00026839765,0.00008953488,0.0002589425,0.0002400348,0.0002259474,0.00006829532,0.0000012569178],"category_scores_gemma":[0.000015336702,0.0002636688,0.000018720844,0.00016483598,0.000050584254,0.0010063457,0.00001569766,0.00014948065,0.0000025782786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008618672,0.0000103714765,0.000052939326,0.0004164114,0.000023769497,0.0000048272323,0.00046232896,0.8384413,0.15265721,0.000005256043,0.00029633965,0.0075430456],"study_design_scores_gemma":[0.0009397476,0.00014208451,0.00011162641,0.00089183997,0.000035342495,0.00003052609,0.00011985245,0.9933828,0.0038795404,0.000005429933,0.000083292725,0.00037789895],"about_ca_topic_score_codex":0.000023827093,"about_ca_topic_score_gemma":0.0000073405367,"teacher_disagreement_score":0.9065142,"about_ca_system_score_codex":0.00014079054,"about_ca_system_score_gemma":0.000031226034,"threshold_uncertainty_score":0.9999815},"labels":[],"label_agreement":null},{"id":"W2113531233","doi":"10.1109/wcnc.2005.1424545","title":"Improved tomlinson-harashima precoding for the downlink of multiple antenna multi-user systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; Telecommunications link; Minimum mean square error; Minimax; Algorithm; Computer science; Control theory (sociology); Mathematics; Antenna (radio); Channel (broadcasting); Topology (electrical circuits); MIMO; Telecommunications; Estimator; Mathematical optimization; Statistics; Combinatorics","score_opus":0.018173848092703754,"score_gpt":0.24175237171602432,"score_spread":0.22357852362332056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113531233","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":[0.00339609,0.0010149573,0.9932556,0.000041809144,0.00046867147,0.0012770781,0.000040765928,0.00033916227,0.00016586098],"genre_scores_gemma":[0.91650593,0.00008761914,0.0817216,0.0000128761985,0.00019884032,0.00022246237,0.000011866907,0.00005520868,0.0011835727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990662,0.0000128072115,0.0004405714,0.00016452954,0.00006942606,0.0002464775],"domain_scores_gemma":[0.99916136,0.000282171,0.0000856268,0.0003067859,0.000122164,0.00004190871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965377,0.00016171865,0.000223216,0.00005793856,0.0000649534,0.000029083429,0.0001788992,0.00008743791,0.000010096217],"category_scores_gemma":[0.00009457701,0.00011676932,0.00007832996,0.00011405102,0.000017686945,0.00025601545,0.000021092063,0.000078649304,0.000008542786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013253585,0.000022381479,0.0002480569,0.00020476585,0.000059982936,7.938275e-8,0.00017817394,0.89310026,0.10265728,0.0003622044,0.00013751931,0.003016025],"study_design_scores_gemma":[0.0007106024,0.000015835034,0.0000647622,0.000047035013,0.000017026236,0.000002057655,0.00025721683,0.974729,0.020284448,0.0000013368474,0.0037240884,0.00014659364],"about_ca_topic_score_codex":0.00003319235,"about_ca_topic_score_gemma":0.00012778465,"teacher_disagreement_score":0.91310984,"about_ca_system_score_codex":0.000076510514,"about_ca_system_score_gemma":0.00000852449,"threshold_uncertainty_score":0.47617146},"labels":[],"label_agreement":null},{"id":"W2113746883","doi":"10.1109/mcom.2015.7060498","title":"Coexistence of Wi-Fi and heterogeneous small cell networks sharing unlicensed spectrum","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":422,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Engineering and Physical Sciences Research Council; Beijing University of Chemical Technology; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Cellular network; Spectrum management; Wireless network; Heterogeneous network; Radio resource management; Interference (communication); Small cell; Quality of service; Spectral efficiency; Wireless; Network architecture; Telecommunications; Distributed computing; Channel (broadcasting); Cognitive radio","score_opus":0.04055148391464506,"score_gpt":0.2505043350145741,"score_spread":0.20995285109992903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113746883","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":[0.11230013,0.013072401,0.8488064,0.00022003522,0.0007436259,0.00087620073,0.000035764664,0.0007846462,0.02316079],"genre_scores_gemma":[0.9699206,0.00091016386,0.028809289,0.000015899377,0.000042744345,0.000026109943,0.00003297705,0.00004229885,0.0001999204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992421,0.000037246453,0.0003336868,0.00014298792,0.00006537086,0.00017859247],"domain_scores_gemma":[0.9982671,0.00007457804,0.000096521784,0.0013611391,0.00009892689,0.000101693455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001525229,0.00014077158,0.00020239496,0.000080902384,0.000056650297,0.000023076846,0.0005285685,0.00006919416,0.0000031563823],"category_scores_gemma":[0.00002098753,0.00016233456,0.000027245256,0.00024637027,0.00008866361,0.00010950949,0.00015963246,0.00016143464,0.00002000646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061084065,0.00003410999,0.0004458197,0.000052744104,0.000014929168,0.000001324685,0.00035222946,0.995483,0.0029188127,0.000141592,0.00026700672,0.00028235922],"study_design_scores_gemma":[0.00050907035,0.000041469277,0.0001270685,0.00006817241,0.00002461517,0.000028431936,0.00006201676,0.99407,0.002483637,0.00017104346,0.0022057923,0.00020867996],"about_ca_topic_score_codex":0.000017010472,"about_ca_topic_score_gemma":0.00015914443,"teacher_disagreement_score":0.8576205,"about_ca_system_score_codex":0.00006961357,"about_ca_system_score_gemma":0.000012362628,"threshold_uncertainty_score":0.6619811},"labels":[],"label_agreement":null},{"id":"W2113817460","doi":"10.1109/isit.2012.6283626","title":"On the degrees of freedom of MIMO X channel with delayed CSIT","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; MIMO; Channel state information; Fading; Degrees of freedom (physics and chemistry); Channel (broadcasting); Topology (electrical circuits); Gaussian; Control theory (sociology); Precoding; Computer science; Mathematics; Telecommunications; Physics; Wireless; Combinatorics","score_opus":0.012351411723441334,"score_gpt":0.19920045287816204,"score_spread":0.1868490411547207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113817460","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":[0.096844286,0.0002281539,0.8857478,0.000017928567,0.00013234752,0.00022176145,0.000007115905,0.000092250186,0.016708395],"genre_scores_gemma":[0.9901927,0.0000062508184,0.0095954435,0.000003892906,0.00002840571,0.000008711741,0.0000018747495,0.00001773481,0.00014496146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996502,0.000008673997,0.00012218284,0.000039111266,0.000073313284,0.00010653494],"domain_scores_gemma":[0.9996685,0.00006527125,0.000037435475,0.0001695255,0.000037354766,0.000021929245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006798537,0.00006885411,0.00010031711,0.000031811185,0.0000112041835,0.0000015337561,0.00006688186,0.000028739436,0.00004164959],"category_scores_gemma":[0.00001375767,0.000040115676,0.00001680606,0.00009764123,0.000021009646,0.00008684357,0.0000077200675,0.000036772457,0.000006775524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011017635,0.000013762695,0.000193682,0.00002458555,0.000031261643,6.4389724e-8,0.00030498547,0.9906012,0.001544604,0.0069123725,0.00031558186,0.000046883553],"study_design_scores_gemma":[0.0008456447,0.00028027446,0.0018904674,0.00019788553,0.000052852105,0.0000088130155,0.0011697985,0.9205577,0.07436331,0.0001223944,0.00016192903,0.00034897105],"about_ca_topic_score_codex":0.000038242917,"about_ca_topic_score_gemma":0.000036649802,"teacher_disagreement_score":0.89334846,"about_ca_system_score_codex":0.000011859273,"about_ca_system_score_gemma":0.0000025008542,"threshold_uncertainty_score":0.16358697},"labels":[],"label_agreement":null},{"id":"W2114001991","doi":"10.1109/ccece.2008.4564611","title":"Receive soft antenna selection for spatial-multiplexing MIMO systems in interference-dominated channels","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Spatial multiplexing; Interference (communication); Computer science; Multiplexing; Transmission (telecommunications); Antenna (radio); Channel (broadcasting); 3G MIMO; Electronic engineering; Selection (genetic algorithm); Multi-user MIMO; Telecommunications; Engineering","score_opus":0.01745022562006692,"score_gpt":0.19881861107065682,"score_spread":0.1813683854505899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114001991","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":[0.0581535,0.00020786322,0.9392155,0.000076031734,0.0006553792,0.0009987617,0.000017705142,0.00042867675,0.00024660322],"genre_scores_gemma":[0.9969569,0.0001713383,0.0021820671,0.00003090888,0.00023683556,0.0002785496,0.000022600629,0.00006627103,0.00005456927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979363,0.000010650566,0.0004921991,0.0005554664,0.00013792476,0.00086743565],"domain_scores_gemma":[0.9989174,0.00008359684,0.00007649898,0.00009203711,0.0004085019,0.00042198115],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013268531,0.000447856,0.00052791426,0.00080342294,0.00014959925,0.00020421384,0.00024134197,0.00025592555,0.0000076162682],"category_scores_gemma":[0.00008597304,0.0004976069,0.000049227,0.00061766745,0.000039139148,0.00036654394,0.000022400718,0.0004631824,0.000005562082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030348063,0.00016103682,0.013458758,0.0019737966,0.00032464167,0.000086882355,0.008155031,0.8070822,0.038247515,0.044081133,0.0011749916,0.08495056],"study_design_scores_gemma":[0.0006186179,0.00024993875,0.0008138769,0.00047519177,0.000007902979,0.0000826745,0.000050762796,0.9961951,0.0006241794,0.00009151531,0.00023674834,0.00055353367],"about_ca_topic_score_codex":0.0042226873,"about_ca_topic_score_gemma":0.0022635548,"teacher_disagreement_score":0.9388034,"about_ca_system_score_codex":0.00048394853,"about_ca_system_score_gemma":0.00018483984,"threshold_uncertainty_score":0.9997476},"labels":[],"label_agreement":null},{"id":"W2114086101","doi":"10.1109/ciss.2011.5766122","title":"Joint transceiver design and user grouping in a MIMO interfering broadcast channel","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; MIMO; Throughput; Base station; Precoding; Channel (broadcasting); Convergence (economics); Maximization; Interference (communication); Computer network; Multi-user MIMO; Joint (building); Wireless; Mathematical optimization; Telecommunications; Engineering; Mathematics","score_opus":0.040957516394970986,"score_gpt":0.19903808603368578,"score_spread":0.1580805696387148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114086101","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":[0.019038185,0.00019199931,0.97723967,0.0000032048201,0.000109895336,0.0002319278,3.8460672e-7,0.0002008332,0.0029839117],"genre_scores_gemma":[0.9452236,0.000054238037,0.054550387,0.000010910339,0.000015620748,0.00002554999,6.1799096e-7,0.000033832046,0.00008522775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994489,0.000015949394,0.0001898872,0.00013538625,0.00003368614,0.00017619118],"domain_scores_gemma":[0.9998314,0.000011351479,0.000013038882,0.000090994065,0.000011548176,0.000041666393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093320385,0.00011716508,0.00013489647,0.00012346586,0.00001541761,0.000011549637,0.00004424458,0.000051755647,0.00004072216],"category_scores_gemma":[0.0000052954697,0.000119074306,0.000016662376,0.000099213066,0.000012191569,0.00028931774,0.000010747142,0.00008117184,0.000009444768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041013987,0.000036718542,0.00043002877,0.00028461483,0.000045028333,0.000032229465,0.0183737,0.93615735,0.03798935,0.0005333762,0.00009273332,0.0059838393],"study_design_scores_gemma":[0.0009727882,0.0000670772,0.0018305707,0.0003410813,0.000010476388,0.000037703587,0.0008695681,0.9499232,0.045197453,0.00019389315,0.00008073659,0.00047545347],"about_ca_topic_score_codex":0.000046142428,"about_ca_topic_score_gemma":0.000031180276,"teacher_disagreement_score":0.9261854,"about_ca_system_score_codex":0.000041921994,"about_ca_system_score_gemma":0.000002161078,"threshold_uncertainty_score":0.48557094},"labels":[],"label_agreement":null},{"id":"W2114170946","doi":"10.1109/icc.2007.721","title":"MIMO LMMSE Transceiver Design with Imperfect CSI at Both Ends","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Minimum mean square error; MIMO; Channel state information; Computer science; Mean squared error; Control theory (sociology); Channel (broadcasting); Estimator; Precoding; Transmitter power output; Mathematics; Telecommunications; Statistics; Transmitter; Wireless","score_opus":0.008839658475158038,"score_gpt":0.20412727361663824,"score_spread":0.1952876151414802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114170946","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":[0.0094034085,0.00016425278,0.96188813,0.000005797073,0.0001021921,0.00024456144,0.0000016070447,0.00054764963,0.027642371],"genre_scores_gemma":[0.9263532,0.00002433289,0.07068609,0.000023929266,0.000057219255,0.000011471146,0.0000055933324,0.00006372417,0.0027744528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992679,0.0000127713565,0.00016745373,0.00015697548,0.00010282419,0.00029208578],"domain_scores_gemma":[0.99962515,0.00006307505,0.000017376495,0.0001843222,0.000024946252,0.00008511857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016524969,0.00016228322,0.00013931667,0.00007905342,0.000046721336,0.000011694115,0.00007114995,0.00007275476,0.0001983939],"category_scores_gemma":[0.0000043725786,0.00013325445,0.000031158936,0.00018074701,0.000019139186,0.00018581003,0.000004487348,0.000073283954,0.00006316337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006593388,0.000011784824,0.0003604048,0.000042327367,0.000042414093,0.000025409108,0.0004781051,0.955223,0.040295996,0.00013366621,0.0010715339,0.0022493901],"study_design_scores_gemma":[0.0045189275,0.0006019342,0.0023364585,0.00016756887,0.00012248068,0.00028171518,0.00040246596,0.27889374,0.6980223,0.00006105531,0.012738019,0.0018532972],"about_ca_topic_score_codex":0.000010360183,"about_ca_topic_score_gemma":0.000097887605,"teacher_disagreement_score":0.9169498,"about_ca_system_score_codex":0.00014891446,"about_ca_system_score_gemma":0.0000073538085,"threshold_uncertainty_score":0.5433959},"labels":[],"label_agreement":null},{"id":"W2115371082","doi":"10.1109/acssc.2010.5757727","title":"Outage probability of MISO broadcast systems with noisy channel side information","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Transmitter; Precoding; Channel state information; Channel (broadcasting); Computer science; Fading; Gaussian; Outage probability; Channel capacity; Topology (electrical circuits); Telecommunications; Mathematics; Wireless; MIMO; Physics","score_opus":0.005106131042384568,"score_gpt":0.17826016135121778,"score_spread":0.1731540303088332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115371082","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":[0.070524484,0.000024038274,0.9106052,0.000009200835,0.00045653808,0.00070006656,0.000016531108,0.0003963073,0.017267618],"genre_scores_gemma":[0.99002665,0.0000023577188,0.009701204,0.000003854868,0.00003687772,0.00004313399,0.000021465792,0.000016293296,0.0001481771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999348,0.0000077785935,0.00032010485,0.000075783195,0.00011302652,0.00013531756],"domain_scores_gemma":[0.99944854,0.000019043564,0.00007770359,0.00026562414,0.00014224669,0.000046832087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011801132,0.000113772316,0.00016003799,0.00006758502,0.000021110263,0.000023337645,0.0000778616,0.00007880861,0.0000114514905],"category_scores_gemma":[0.000033725457,0.00009218286,0.000018665754,0.0001402858,0.00003294774,0.00071029254,0.0000112509215,0.000113420705,0.000023392791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008253893,0.000010499363,0.00028631397,0.00052591873,0.000013759232,2.4981463e-7,0.00051974505,0.99234927,0.004245671,0.0013203658,0.000055864097,0.0006641151],"study_design_scores_gemma":[0.00081592606,0.0000826376,0.0005352891,0.00011287484,0.000016874268,0.00003471497,0.000703936,0.98096263,0.013251273,0.00009428421,0.0029989372,0.00039059258],"about_ca_topic_score_codex":0.00006765591,"about_ca_topic_score_gemma":0.000066779,"teacher_disagreement_score":0.91950214,"about_ca_system_score_codex":0.000029982524,"about_ca_system_score_gemma":0.000012938339,"threshold_uncertainty_score":0.37591082},"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":"W2116173049","doi":"10.1186/1687-1499-2011-191","title":"Performance analysis of low-complexity dual-cell random beamforming transmission with user scheduling","year":2011,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Beamforming; Computer science; Scheduling (production processes); Overhead (engineering); Transmission (telecommunications); Base station; Ergodic theory; WSDMA; Mathematical optimization; Computer network; Precoding; Telecommunications; Mathematics; MIMO","score_opus":0.03378286203777397,"score_gpt":0.23552039130653896,"score_spread":0.20173752926876498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116173049","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":[0.613565,0.001605187,0.38283888,0.0000095873365,0.000060671646,0.00011518208,0.0000014382986,0.000053653122,0.0017504147],"genre_scores_gemma":[0.9403197,0.00968512,0.049889702,0.000007824059,0.000038892707,0.0000066127864,0.000010107063,0.0000317188,0.000010280512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898225,0.000085957916,0.00047963942,0.00011366219,0.0001376645,0.00020083893],"domain_scores_gemma":[0.9989547,0.00012454946,0.00023920664,0.00049291283,0.00009621368,0.00009237743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038248076,0.00016722278,0.0003488553,0.00029100518,0.00039226143,0.000032951273,0.00025377522,0.000056740253,0.000011392218],"category_scores_gemma":[0.0000018013707,0.00014003314,0.00007800165,0.0006773788,0.00008768042,0.00029560234,0.000037063866,0.0003842895,6.0521376e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012240067,0.00007485685,0.008843463,0.0000842997,0.00035010418,0.0000022858205,0.001986869,0.9498279,0.0012118182,0.0001136265,0.000001571307,0.03738082],"study_design_scores_gemma":[0.0008280181,0.00006849168,0.0011989307,0.000602751,0.00027336605,0.000024267265,0.00016634971,0.99535227,0.0010288936,0.00001155332,0.00025589624,0.00018920125],"about_ca_topic_score_codex":0.0000056711524,"about_ca_topic_score_gemma":0.00001087056,"teacher_disagreement_score":0.33294916,"about_ca_system_score_codex":0.00004002399,"about_ca_system_score_gemma":0.000012852684,"threshold_uncertainty_score":0.57103854},"labels":[],"label_agreement":null},{"id":"W2116245553","doi":"10.1109/spawc.2012.6292932","title":"Near ML treatment of n interferers with linear complexity","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interference (communication); Computer science; Base station; Focus (optics); Transmission (telecommunications); Enhanced Data Rates for GSM Evolution; Computational complexity theory; Interference alignment; Alphabet; Algorithm; Theoretical computer science; Mathematics; Telecommunications; Channel (broadcasting); Physics","score_opus":0.03154853492811484,"score_gpt":0.24802916140314346,"score_spread":0.21648062647502864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116245553","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":[0.17239721,0.0002030344,0.8110527,0.000011875694,0.00014360198,0.00022274822,0.000005979463,0.0002727284,0.015690167],"genre_scores_gemma":[0.9228205,0.000009667227,0.07686357,0.0000024058224,0.000035394954,0.000007103931,0.000007020367,0.000017222694,0.00023710314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996989,0.0000055511964,0.00009977084,0.000044003275,0.000035619993,0.0001161687],"domain_scores_gemma":[0.9997926,0.000009688761,0.000016221464,0.00012068824,0.000018159844,0.000042693544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000016217338,0.000075676086,0.00011707093,0.00001897829,0.000012510315,0.0000028638515,0.00002510114,0.000021032261,0.00007447829],"category_scores_gemma":[0.000001550806,0.000054606324,0.000015552034,0.000059145623,0.00002702544,0.000110214656,0.000003812832,0.000015602418,0.000024469447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004033597,0.00016131456,0.015584276,0.00009403511,0.00014298204,8.0262805e-7,0.0024875253,0.9738394,0.0018230361,0.0021629932,0.00018248196,0.0034808053],"study_design_scores_gemma":[0.002409946,0.0008813293,0.0032588344,0.000088677705,0.000072657545,0.000028209035,0.0009093891,0.87184244,0.105322815,0.000041946798,0.014549436,0.0005943302],"about_ca_topic_score_codex":0.000028901033,"about_ca_topic_score_gemma":0.000021473,"teacher_disagreement_score":0.7504233,"about_ca_system_score_codex":0.000063668595,"about_ca_system_score_gemma":0.0000032864432,"threshold_uncertainty_score":0.22267814},"labels":[],"label_agreement":null},{"id":"W2116353644","doi":"10.1109/nof.2015.7333290","title":"A centralized algorithm for adaptive coverage in next generation cellular networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Throughput; Radio resource management; Cellular network; Wireless; Wireless network; Energy consumption; Macro; Radio access network; Distributed computing; Base station; Telecommunications; Mobile station","score_opus":0.04065828373665139,"score_gpt":0.23018102595764814,"score_spread":0.18952274222099674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116353644","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":[0.00087587786,0.00045021562,0.99663466,0.000005792858,0.00048174022,0.0005283965,0.0000048835873,0.00015948128,0.0008589329],"genre_scores_gemma":[0.69067574,0.000059834674,0.30808127,0.0000332568,0.00038618123,0.00014560862,0.00015573646,0.00005126555,0.00041111745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942774,0.000018004508,0.00018811188,0.000118962045,0.000056434208,0.00019073793],"domain_scores_gemma":[0.9997472,0.000018220908,0.000020469755,0.00009646006,0.000054428085,0.0000631817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010458682,0.00010157758,0.00012961598,0.00004663914,0.000014702714,0.00002553427,0.000042426243,0.00007641574,0.000009963318],"category_scores_gemma":[0.000011640903,0.00010625271,0.000023917502,0.00012156593,0.0000047518674,0.00027911426,0.000006997531,0.00005157219,0.000005765839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051739385,0.0000068751683,0.000009146856,0.0000035822861,0.0000066255025,0.0000015252318,0.000111125955,0.98687804,0.00090041483,0.00030863515,0.0010729473,0.010695927],"study_design_scores_gemma":[0.0010723234,0.000024649637,0.0000017418549,0.000007915037,0.0000038029386,8.746594e-7,0.000067891444,0.9956322,0.002033272,0.00009773772,0.0009321359,0.00012547425],"about_ca_topic_score_codex":0.00002243452,"about_ca_topic_score_gemma":0.000043526088,"teacher_disagreement_score":0.68979985,"about_ca_system_score_codex":0.0001668859,"about_ca_system_score_gemma":0.000011756639,"threshold_uncertainty_score":0.43328598},"labels":[],"label_agreement":null},{"id":"W2116708147","doi":"10.1109/cdc.1999.833330","title":"Stochastic models for long-term multipath fading channels and their statistical properties","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Fading; Multipath propagation; Stochastic process; Moment (physics); Poisson distribution; Statistical physics; Term (time); Stochastic differential equation; Transmission (telecommunications); Point process; Mathematics; Applied mathematics; Stochastic modelling; Computer science; Telecommunications; Statistics; Channel (broadcasting); Physics","score_opus":0.03196324376372042,"score_gpt":0.2326033029054946,"score_spread":0.20064005914177419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116708147","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":[0.010544578,0.00036753053,0.9879254,0.0000024794153,0.00016375931,0.00054448185,0.00001447125,0.00020071404,0.00023656506],"genre_scores_gemma":[0.973243,0.000009685485,0.026377719,0.000006439606,0.00002748592,0.00012764418,0.000007605257,0.00004157341,0.00015883855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946266,0.000010233954,0.00014939827,0.00014157314,0.00003519679,0.00020091386],"domain_scores_gemma":[0.9997378,0.000065109336,0.00001380727,0.00008940614,0.000036688107,0.000057202225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006364601,0.00013371833,0.00014679144,0.00004179123,0.000051299186,0.000030751537,0.000032924174,0.000044316086,0.0000071732397],"category_scores_gemma":[0.000052332525,0.00010298573,0.000014255783,0.000036497284,0.000020279796,0.00020465268,0.0000076118813,0.000042285086,0.000001953561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040979503,0.000005804812,0.000012918476,0.00012525817,0.000013137604,3.50301e-7,0.0005502737,0.9926258,0.0013560011,0.0043867114,0.000011328694,0.00090835517],"study_design_scores_gemma":[0.00031664732,0.000022309978,0.0000060861853,0.000047900478,0.0000055204596,0.000008585375,0.00010899961,0.9952786,0.0031957245,0.00085704186,0.0000039667434,0.0001485955],"about_ca_topic_score_codex":0.0000014499425,"about_ca_topic_score_gemma":0.000003592208,"teacher_disagreement_score":0.96269846,"about_ca_system_score_codex":0.000033127286,"about_ca_system_score_gemma":0.000006047241,"threshold_uncertainty_score":0.4199636},"labels":[],"label_agreement":null},{"id":"W2116751679","doi":"10.1109/wcnc.2005.1424634","title":"A 3D correlation model for MIMO non-isotropic scattering with arbitrary antenna arrays","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"MIMO; Isotropy; Antenna (radio); Topology (electrical circuits); Spatial correlation; Mathematics; Mathematical analysis; Channel (broadcasting); Computer science; Physics; Telecommunications; Optics","score_opus":0.00870698780124936,"score_gpt":0.2043623877568978,"score_spread":0.19565539995564843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116751679","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":[0.0072196526,0.00004909897,0.988736,0.00004619312,0.00008778879,0.00043327053,0.0000052220403,0.00039524166,0.0030275632],"genre_scores_gemma":[0.6098294,0.0000073922906,0.38936287,0.00004136675,0.000084500534,0.00006505418,0.000017390665,0.00004262537,0.00054939603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993708,0.0000027410283,0.00019244052,0.00015964238,0.00006569584,0.00020868456],"domain_scores_gemma":[0.99969566,0.00001711627,0.000032356074,0.00016608511,0.000042267464,0.000046525514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003165027,0.00014486039,0.00013831572,0.00007702194,0.00004945642,0.000020137737,0.00006242242,0.000058765556,0.000012165881],"category_scores_gemma":[0.000003900091,0.00013339703,0.000028078754,0.000095687275,0.000011596305,0.00044815926,0.00000724139,0.000071189796,0.000021393107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011821596,0.0000076774495,0.00016562625,0.000055759836,0.000013721701,3.025687e-7,0.00020139835,0.9933147,0.0049131,0.0001254382,0.00012855239,0.001061893],"study_design_scores_gemma":[0.0005220444,0.000022828302,0.000047582595,0.000054760465,0.000011737509,0.0000066980683,0.000030094063,0.9981995,0.0007700563,0.000044643646,0.00010935355,0.00018068241],"about_ca_topic_score_codex":0.0000029735775,"about_ca_topic_score_gemma":0.000037069945,"teacher_disagreement_score":0.60260975,"about_ca_system_score_codex":0.00008176415,"about_ca_system_score_gemma":0.000011393223,"threshold_uncertainty_score":0.54397726},"labels":[],"label_agreement":null},{"id":"W2116927024","doi":"10.1109/vetecf.2008.116","title":"Robustness of Reduced Feedback Precoding in Frame-Based MIMO Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Precoding; Microcell; MIMO; Robustness (evolution); Computer science; Channel state information; Zero-forcing precoding; Control theory (sociology); Channel (broadcasting); Overhead (engineering); Electronic engineering; Engineering; Computer network; Wireless; Telecommunications; Control (management); Artificial intelligence","score_opus":0.01890515576176053,"score_gpt":0.21548181455158477,"score_spread":0.19657665878982425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116927024","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":[0.2657597,0.00021563812,0.7296753,0.0000065004733,0.00045288005,0.00030538382,0.000002506707,0.00023409932,0.0033479687],"genre_scores_gemma":[0.98003596,0.000018624572,0.019637112,0.0000021085564,0.000045952253,0.000034386034,0.0000069816297,0.00003610639,0.00018279238],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991748,0.000023835668,0.00039174772,0.00013312133,0.00009640295,0.0001801095],"domain_scores_gemma":[0.9995945,0.00005357491,0.0000524315,0.0002085037,0.000052823412,0.000038132213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008734448,0.00012175146,0.00024413924,0.00016048262,0.000020093428,0.0000065110767,0.00009399582,0.00009879184,0.000022428752],"category_scores_gemma":[0.000031550997,0.00012677048,0.000030206314,0.0003253452,0.000019581763,0.00015099099,0.000008136229,0.000089965855,0.0000054750817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047694807,0.000013922611,0.00049425504,0.00020559855,0.0000060644315,0.0000021533444,0.00007751427,0.9900378,0.008879617,0.000071601586,0.000125413,0.0000813197],"study_design_scores_gemma":[0.00033863547,0.000011078912,0.00020574422,0.00017747746,0.0000025366235,0.0000078974435,0.00010804317,0.9787043,0.020274658,0.0000019307863,0.000024174273,0.00014354578],"about_ca_topic_score_codex":0.0000476193,"about_ca_topic_score_gemma":0.000013814318,"teacher_disagreement_score":0.7142762,"about_ca_system_score_codex":0.000102820464,"about_ca_system_score_gemma":0.000020468397,"threshold_uncertainty_score":0.516955},"labels":[],"label_agreement":null},{"id":"W2116958798","doi":"10.1109/glocom.2006.127","title":"CTH16-5: On Selecting the Number of Receiver Diversity Antennas in Ricean Fading Cochannel Interference","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Interference (communication); Maximal-ratio combining; Signal-to-interference ratio; Antenna (radio); Bit error rate; Computer science; Electronic engineering; Antenna diversity; Diversity combining; Diversity gain; Signal-to-noise ratio (imaging); Power (physics); Telecommunications; Mathematics; Engineering; Physics","score_opus":0.01091214499077551,"score_gpt":0.220901513383937,"score_spread":0.20998936839316149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116958798","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":[0.88670444,0.00006609557,0.09473523,0.000031218162,0.00038263807,0.0001882101,0.000010138309,0.00014913379,0.017732875],"genre_scores_gemma":[0.99913514,0.000010171866,0.0006567604,0.000010981323,0.00004270413,0.0000026007403,0.0000045578645,0.000012458304,0.00012459977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994273,0.000027351263,0.0001833795,0.000117539494,0.00007560233,0.00016879718],"domain_scores_gemma":[0.9996898,0.000070944916,0.000053907013,0.00013237692,0.000038187674,0.000014756009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011655623,0.000099195655,0.00012975324,0.000049575545,0.00007450964,0.000009805914,0.00014478153,0.000045353212,0.000024642251],"category_scores_gemma":[0.000025873884,0.00008749716,0.000027263193,0.00027579037,0.000017728213,0.00011679151,0.000069186244,0.00013470829,0.000024589139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021146683,0.000038143105,0.11665675,0.00006883937,0.000020516127,0.0000069006137,0.0016967511,0.8768122,0.0018493168,0.0008430859,0.0009063911,0.0010799208],"study_design_scores_gemma":[0.0023877071,0.00009717968,0.13292997,0.0012930789,0.000052618187,0.000055542652,0.0032371415,0.83565915,0.018555703,0.004067313,0.0004888849,0.001175736],"about_ca_topic_score_codex":0.00057372503,"about_ca_topic_score_gemma":0.00032700156,"teacher_disagreement_score":0.11243071,"about_ca_system_score_codex":0.00013638342,"about_ca_system_score_gemma":0.0000038126407,"threshold_uncertainty_score":0.35680306},"labels":[],"label_agreement":null},{"id":"W2117026800","doi":"10.1109/spawc.2004.1439217","title":"MIMO space-time correlation model for microcellular environments","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fading; Correlation function (quantum field theory); MIMO; Moment-generating function; Probability density function; Bessel function; Transmitter; Mathematics; Mathematical analysis; Nyquist stability criterion; Rayleigh fading; Spatial correlation; Channel (broadcasting); Topology (electrical circuits); Telecommunications; Computer science; Statistics","score_opus":0.00645185201826633,"score_gpt":0.1843428988110212,"score_spread":0.17789104679275486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117026800","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":[0.0018705842,0.00013656783,0.9943004,0.000033001998,0.000055322398,0.00030965183,0.0000068937,0.0001880325,0.0030995284],"genre_scores_gemma":[0.61044896,0.000024071162,0.35665017,0.000028680763,0.00009542295,0.00004696197,0.00007472709,0.00006162861,0.03256939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995494,0.0000027657388,0.00014646623,0.000111224326,0.00004870595,0.00014145032],"domain_scores_gemma":[0.9998041,0.000013330645,0.000021133965,0.00011925337,0.0000070952137,0.0000351287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037687158,0.000097831224,0.00008651202,0.00003727736,0.00003019987,0.000008514555,0.000045034423,0.00006628656,0.0000573891],"category_scores_gemma":[0.0000049155774,0.00010687796,0.000030115203,0.000029992038,0.000006074451,0.00020797108,0.0000070456776,0.00003403194,0.00030721433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000219708,0.000006758427,0.00001223663,0.00000917149,0.000006976327,4.8179654e-8,0.00006820487,0.9398691,0.05795745,0.00014875211,0.0011524442,0.0007666438],"study_design_scores_gemma":[0.00028076174,0.0000050047024,0.000002836908,0.000005419109,0.0000080482005,9.13557e-7,0.0000059343665,0.9780561,0.01517242,0.00007190375,0.006270728,0.00011996192],"about_ca_topic_score_codex":5.633652e-7,"about_ca_topic_score_gemma":0.0000014637777,"teacher_disagreement_score":0.63765025,"about_ca_system_score_codex":0.0001041307,"about_ca_system_score_gemma":0.0000027679712,"threshold_uncertainty_score":0.4358357},"labels":[],"label_agreement":null},{"id":"W2117745446","doi":"10.1109/access.2014.2379938","title":"Device-to-Device Communications for National Security and Public Safety","year":2014,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":151,"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":"Stiftelsen för Strategisk Forskning; European Commission","keywords":"Computer science; Key (lock); Emergency management; Telecommunications; Underlay; Component (thermodynamics); Reuse; Computer security; Wireless ad hoc network; Computer network; Wireless; Engineering","score_opus":0.04565852073324037,"score_gpt":0.32545779433607763,"score_spread":0.27979927360283724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117745446","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":[0.00631939,0.00016815109,0.9806502,0.00047118115,0.00026076316,0.0005081059,0.000057255682,0.0002476194,0.011317346],"genre_scores_gemma":[0.98616135,0.0000304092,0.013215665,0.00023029644,0.000116083735,0.00015022657,0.000045978897,0.000025971816,0.000024000305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943256,0.000026615846,0.00018769289,0.00012260173,0.00008660076,0.00014395102],"domain_scores_gemma":[0.9991401,0.00022635207,0.000035699413,0.00029771368,0.00022257635,0.00007757472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021148821,0.00008883797,0.00010998307,0.00008436477,0.00013753766,0.000097342905,0.00037728628,0.000051406696,0.000009517883],"category_scores_gemma":[0.00014386245,0.00009942216,0.000017601258,0.00020385819,0.000019491556,0.00055320805,0.00006448807,0.000067451176,0.000013287457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053131847,0.00019189934,0.0083813965,0.0016890769,0.00025325496,3.636447e-7,0.0019398326,0.8187869,0.0049659978,0.11025238,0.02053666,0.032949068],"study_design_scores_gemma":[0.000675968,0.000015578165,0.00090853474,0.000050212333,0.000013326004,0.0000041114336,0.000039926417,0.77796483,0.001119105,0.006874494,0.2119908,0.0003431355],"about_ca_topic_score_codex":0.000009159336,"about_ca_topic_score_gemma":0.00042652604,"teacher_disagreement_score":0.979842,"about_ca_system_score_codex":0.000070185335,"about_ca_system_score_gemma":0.000014551418,"threshold_uncertainty_score":0.4054318},"labels":[],"label_agreement":null},{"id":"W2117915894","doi":"10.1109/jsac.2005.862385","title":"Improved transmit null steering for MIMO-OFDM downlinks with distributed base station antenna arrays","year":2006,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Base station; Computer science; Orthogonal frequency-division multiplexing; Telecommunications link; Space-division multiple access; MIMO; Channel (broadcasting); Multiplexing; Pilot signal; Computer network; MIMO-OFDM; Interference (communication); Real-time computing; Electronic engineering; Telecommunications; Engineering","score_opus":0.013701704564588982,"score_gpt":0.24080858403215785,"score_spread":0.22710687946756886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117915894","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02050067,0.00031281039,0.9773077,0.00028798243,0.00015371497,0.0006812453,0.00023824154,0.00026649475,0.00025113858],"genre_scores_gemma":[0.92615724,0.00023885383,0.072640896,0.00002032001,0.000103769155,0.00016733956,0.00056500884,0.00007561714,0.000030933243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985616,0.00010575336,0.00065407425,0.0001708827,0.00014833387,0.00035932235],"domain_scores_gemma":[0.9982176,0.0003398142,0.00020111652,0.00064968184,0.0004998272,0.000091972666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002317527,0.00024514872,0.00027583152,0.00029173415,0.00028369177,0.00009786708,0.00044533622,0.00012344029,0.0000057989687],"category_scores_gemma":[0.000066796085,0.00023653834,0.000060966806,0.0008319487,0.00004354736,0.0003795319,0.000009179817,0.00066912326,0.0000023319963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011729578,0.0001986058,0.00033824513,0.000049727845,0.00006256768,0.000004255401,0.00023056183,0.9491356,0.04819082,0.00025743802,0.00033378828,0.001081092],"study_design_scores_gemma":[0.0025762261,0.00019649032,0.0013120199,0.00039875123,0.00005462239,0.000104253835,0.00016912603,0.9884587,0.0045790924,0.0003546615,0.0013607815,0.0004352564],"about_ca_topic_score_codex":0.000046050045,"about_ca_topic_score_gemma":0.0010341113,"teacher_disagreement_score":0.9056566,"about_ca_system_score_codex":0.0004353847,"about_ca_system_score_gemma":0.00008076227,"threshold_uncertainty_score":0.9645754},"labels":[],"label_agreement":null},{"id":"W2118540159","doi":"10.1109/twc.2014.2366136","title":"Joint Mode Selection and Spectrum Partitioning for Device-to-Device Communication: A Dynamic Stackelberg Game","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stackelberg competition; Computer science; Base station; User equipment; Selection (genetic algorithm); Mode (computer interface); Mathematical optimization; Selection algorithm; Wireless; Telecommunications link; Computer network; Potential game; Distributed computing; Nash equilibrium; Telecommunications; Mathematics; Artificial intelligence","score_opus":0.02002364818078735,"score_gpt":0.26879614343254915,"score_spread":0.24877249525176182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118540159","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":[0.015050573,0.00020479984,0.9813395,0.0011917406,0.00014921503,0.000919114,0.0000682062,0.00067550404,0.00040132224],"genre_scores_gemma":[0.9408218,0.00073907175,0.056882415,0.00010905017,0.000021481002,0.0011365268,0.00006846027,0.000095186064,0.0001260045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986056,0.00016442593,0.00051122165,0.00028023226,0.0001257091,0.00031282767],"domain_scores_gemma":[0.9977573,0.00040101178,0.00010110845,0.0014245805,0.00016454136,0.0001514494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025105468,0.00026279065,0.00029963517,0.0002840927,0.0007228756,0.0000985572,0.00043506402,0.00012970946,0.000013667893],"category_scores_gemma":[0.000015370366,0.00032417505,0.00008412693,0.00052789017,0.00007741093,0.00037819095,0.000009153149,0.0003766373,0.000036412028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015213092,0.00008969975,0.000008518351,0.00008499423,0.000062026214,3.2945835e-8,0.0007462717,0.9821343,0.0046650437,0.0018600414,0.0000441282,0.010289756],"study_design_scores_gemma":[0.00052682153,0.000081230886,0.00007906214,0.00019654744,0.000064305175,0.000010060082,0.00016656786,0.98896384,0.005818742,0.0007166213,0.0030280654,0.00034812887],"about_ca_topic_score_codex":0.000069136826,"about_ca_topic_score_gemma":0.004054394,"teacher_disagreement_score":0.92577124,"about_ca_system_score_codex":0.00029170798,"about_ca_system_score_gemma":0.000027585493,"threshold_uncertainty_score":0.999921},"labels":[],"label_agreement":null},{"id":"W2119215342","doi":"10.1109/tsp.2004.823502","title":"Transceiver Optimization for Block-Based Multiple Access Through ISI Channels","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Subcarrier; Transceiver; Transmitter; Computer science; Intersymbol interference; Mathematical optimization; Convex optimization; Semidefinite programming; Second-order cone programming; Optimization problem; Channel (broadcasting); Mathematics; Wireless; Telecommunications; Orthogonal frequency-division multiplexing; Regular polygon","score_opus":0.032191934802961994,"score_gpt":0.2694817582706109,"score_spread":0.23728982346764887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119215342","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":[0.00077794766,0.00011651962,0.99684656,0.00008834047,0.0004035999,0.0007887656,0.000044469703,0.0007328569,0.00020096664],"genre_scores_gemma":[0.9207955,0.000014280112,0.07855194,0.0000987222,0.000085051186,0.00029231104,0.000017834042,0.00011008943,0.00003424057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877477,0.0000148053705,0.00036193646,0.0003264242,0.00018228158,0.000339775],"domain_scores_gemma":[0.9994714,0.000071611394,0.00007037849,0.00014683323,0.0001665692,0.00007318014],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000074962205,0.00028385775,0.00023724104,0.00017331819,0.00040040925,0.00014372762,0.00017971233,0.0001604485,0.00003528936],"category_scores_gemma":[0.0000031939617,0.00031081226,0.0001211677,0.00045941517,0.000041731346,0.0012038421,3.4200085e-7,0.00018795041,0.000006602761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006852922,0.00008766961,7.720932e-7,0.0002815631,0.000023634755,0.0000012296387,0.00041914108,0.9888361,0.002766144,0.0000054663906,0.000005541791,0.007504184],"study_design_scores_gemma":[0.0017749253,0.00006202019,4.309776e-7,0.00024936692,0.000043116677,0.0000040471077,0.00004926855,0.79903334,0.1982963,0.000090394504,0.00010348246,0.00029330142],"about_ca_topic_score_codex":0.0000077823215,"about_ca_topic_score_gemma":0.00001534707,"teacher_disagreement_score":0.9200176,"about_ca_system_score_codex":0.00021445304,"about_ca_system_score_gemma":0.00006443773,"threshold_uncertainty_score":0.9999344},"labels":[],"label_agreement":null},{"id":"W2119262514","doi":"10.1109/icc.1998.685171","title":"An error analysis of feedback correlation beamforming for the IS-95 reverse link","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Estimator; Beamforming; Eigenvalues and eigenvectors; Link (geometry); Computer science; Extension (predicate logic); Algorithm; Upper and lower bounds; Correlation; Perturbation (astronomy); Cramér–Rao bound; Error analysis; Mathematics; Mathematical optimization; Applied mathematics; Statistics; Telecommunications","score_opus":0.020459663872098327,"score_gpt":0.24531575859963106,"score_spread":0.22485609472753273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119262514","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":[0.0019349953,0.00017420643,0.9962051,0.000058659592,0.00013109655,0.00026056217,0.000013470693,0.000107387794,0.0011145388],"genre_scores_gemma":[0.9337744,0.000080045946,0.06468903,0.00005004559,0.000071384886,0.000028400655,0.000038525435,0.000028052173,0.0012400758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994977,0.0000063541665,0.00023244412,0.00009399778,0.00006675075,0.000102735066],"domain_scores_gemma":[0.99951947,0.00008172454,0.00005841948,0.00025084655,0.000065231645,0.000024291061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090757116,0.000077499484,0.0001436627,0.0000934766,0.000049811206,0.000009470712,0.0000809285,0.00005662282,0.00024923502],"category_scores_gemma":[0.00002219936,0.000060556966,0.00008168223,0.0004815358,0.000010879572,0.00025150535,0.0000047579524,0.000042957094,0.0000102446775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018675944,0.000004914159,0.00019839717,0.00001654389,0.00014514604,3.530977e-8,0.0005332577,0.9936216,0.0004795274,0.00012715023,0.0007746604,0.004096895],"study_design_scores_gemma":[0.00013617857,0.000014337655,0.00013708776,0.000007063287,0.0002788898,3.1729894e-7,0.0002763908,0.99699825,0.00051509263,0.00001376793,0.0015479273,0.00007469966],"about_ca_topic_score_codex":0.000016892382,"about_ca_topic_score_gemma":0.00003971415,"teacher_disagreement_score":0.93183947,"about_ca_system_score_codex":0.000034154218,"about_ca_system_score_gemma":0.0000014499836,"threshold_uncertainty_score":0.2728949},"labels":[],"label_agreement":null},{"id":"W2119960684","doi":"10.1109/twc.2014.2382639","title":"Geometrical-Based Throughput Analysis of Device-to-Device Communications in a Sector-Partitioned Cell","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Rail Traffic Control and Safety; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Throughput; Cellular network; Telecommunications link; Guard (computer science); Base station; Computer network; Resource allocation; Interference (communication); Spectral efficiency; Transmission (telecommunications); Cellular communication; User equipment; Radio resource management; Stochastic geometry; Wireless; Wireless network; Telecommunications; Channel (broadcasting); Mathematics","score_opus":0.03445266458144014,"score_gpt":0.2808334592299183,"score_spread":0.24638079464847817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119960684","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":[0.017820416,0.00017654014,0.9782568,0.00039398824,0.00009730496,0.000545412,0.0001417238,0.00033097365,0.002236812],"genre_scores_gemma":[0.9562695,0.00032949517,0.042560983,0.00012868,0.0000069666366,0.0004899738,0.00011876169,0.000060717844,0.000034898152],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979912,0.00035144185,0.00085901347,0.000275327,0.00022771441,0.0002952937],"domain_scores_gemma":[0.9940991,0.0013032274,0.00015832561,0.0040519577,0.00024967984,0.00013772094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035782804,0.00025940774,0.0005571601,0.0020848678,0.0002815356,0.000033195633,0.0013793621,0.00015694265,0.00005020253],"category_scores_gemma":[0.00002453362,0.00031382428,0.00021401916,0.0075258776,0.00013957231,0.00023048096,0.000013733435,0.0004543007,0.000057218967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008982493,0.00044900083,0.00021412424,0.00005317925,0.00015548522,9.1525436e-8,0.00045536362,0.99211746,0.004001789,0.00029157536,0.000018665058,0.0022342533],"study_design_scores_gemma":[0.0005777621,0.000051180734,0.0008480754,0.000098118726,0.00036208567,3.525879e-7,0.00014687273,0.9848388,0.011809609,0.000028129321,0.0009202759,0.00031875193],"about_ca_topic_score_codex":0.00026081418,"about_ca_topic_score_gemma":0.004186152,"teacher_disagreement_score":0.9384491,"about_ca_system_score_codex":0.0002923049,"about_ca_system_score_gemma":0.000046407367,"threshold_uncertainty_score":0.9999314},"labels":[],"label_agreement":null},{"id":"W2120095495","doi":"10.1109/glocom.2010.5683278","title":"Hierarchical Competition in Femtocell-Based Cellular Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Femtocell; Stackelberg competition; Macrocell; Nash equilibrium; Computer science; Game theory; Telecommunications link; Cellular network; Strategy; Best response; Base station; Potential game; Computer network; Mathematical optimization; Mathematical economics; Mathematics","score_opus":0.004835708850707638,"score_gpt":0.1932075696876318,"score_spread":0.18837186083692417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120095495","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":[0.026479226,0.000020839741,0.95917875,0.000027133274,0.00042164364,0.0001560247,7.1538483e-7,0.00031109186,0.013404591],"genre_scores_gemma":[0.97919273,0.0000025631268,0.020498497,0.000030158762,0.000107023676,0.000019582194,0.00003334653,0.00002512961,0.0000909442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995115,0.0000122781585,0.00016023467,0.0001030416,0.0000535894,0.0001594043],"domain_scores_gemma":[0.999741,0.00003711458,0.000011327843,0.00014942227,0.000014400401,0.000046707664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007888618,0.00008606398,0.00009349456,0.000076308446,0.000017382523,0.0000136930785,0.00006323787,0.00010157036,0.0001790765],"category_scores_gemma":[0.000008877895,0.00008946759,0.000020312202,0.00015099352,0.000017297818,0.00007065833,0.000006639431,0.00028357338,0.0000307043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023652253,0.000010627448,0.00057825283,0.000013197599,0.0000011501734,0.000003482929,0.00001024011,0.9820372,0.014288293,0.002663412,0.00008359892,0.00030821498],"study_design_scores_gemma":[0.00028526317,0.0000063119874,0.00022620578,0.000011117421,0.0000011689862,9.901909e-7,0.0000050804006,0.99338394,0.0051484876,0.00012439876,0.00069897424,0.00010803016],"about_ca_topic_score_codex":0.000008988541,"about_ca_topic_score_gemma":0.00014638937,"teacher_disagreement_score":0.95271355,"about_ca_system_score_codex":0.00002437356,"about_ca_system_score_gemma":0.000005850715,"threshold_uncertainty_score":0.36483824},"labels":[],"label_agreement":null},{"id":"W2120694247","doi":"10.1109/icc.2007.465","title":"Linear Precoding for Multiuser MIMO-OFDM Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Orthogonal frequency-division multiplexing; MIMO-OFDM; Subcarrier; MIMO; Computer science; Telecommunications link; Interpolation (computer graphics); Algorithm; Transmitter; Decoding methods; Telecommunications; Beamforming; Frame (networking); Channel (broadcasting)","score_opus":0.017796806634382774,"score_gpt":0.25673044150936014,"score_spread":0.23893363487497737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120694247","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":[0.0024577552,0.00021973132,0.987544,0.000004980263,0.0010124503,0.00058667397,0.0000055414503,0.0006906834,0.0074782013],"genre_scores_gemma":[0.8376429,0.000012664581,0.15913126,0.000011681479,0.000426659,0.000061514744,0.00001734141,0.00007531914,0.0026206607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927855,0.000004247268,0.0002783891,0.0001253811,0.000058897807,0.00025452947],"domain_scores_gemma":[0.99958915,0.000107613465,0.000027274065,0.00015288054,0.00006361362,0.000059466623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002371576,0.00011232086,0.00013315839,0.000077992845,0.00004025154,0.00001824951,0.00006880408,0.000083200364,0.000011752896],"category_scores_gemma":[0.000040710034,0.00010942052,0.000036696933,0.00010128008,0.0000056458643,0.00016684682,0.0000082092665,0.00005069287,0.00003639278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066059038,0.00000673244,0.00012227878,0.00020290991,0.00002087977,8.9726296e-7,0.000110857705,0.98868805,0.0069678645,0.0014582897,0.0007663153,0.0016482909],"study_design_scores_gemma":[0.0003042167,0.000015300877,0.000021324853,0.00004567726,0.0000073114206,0.000004727528,0.00020967236,0.97239244,0.01510622,0.000019875517,0.011683392,0.00018985303],"about_ca_topic_score_codex":0.000011255111,"about_ca_topic_score_gemma":0.000023606512,"teacher_disagreement_score":0.83518517,"about_ca_system_score_codex":0.00007813822,"about_ca_system_score_gemma":0.0000034478498,"threshold_uncertainty_score":0.44620395},"labels":[],"label_agreement":null},{"id":"W2120786400","doi":"10.1109/vetecf.2009.5379017","title":"The Impact of Vehicular Antenna Placement on Polarization Diversity","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Antenna diversity; Transmitter; MIMO; Computer science; Polarization (electrochemistry); Electronic engineering; Antenna array; Antenna (radio); Diversity combining; Diversity scheme; Telecommunications; Channel (broadcasting); Engineering; Fading","score_opus":0.007417025178675894,"score_gpt":0.22355835621509787,"score_spread":0.21614133103642197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120786400","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":[0.21037629,0.00009405095,0.78392833,0.000034563764,0.000093844385,0.00024418032,0.0000042356073,0.00016921358,0.0050553055],"genre_scores_gemma":[0.9994434,0.00002263406,0.0003721987,0.0000067887877,0.000011634835,5.1577473e-7,0.000005228491,0.0000044362296,0.00013312911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969995,0.000008785622,0.00008889504,0.00004780487,0.00007125073,0.00008329433],"domain_scores_gemma":[0.9997951,0.0000151831255,0.000021927053,0.00011793314,0.00003083925,0.000019048965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055742657,0.000057495654,0.00005699382,0.000026095431,0.000081344784,0.0000068090067,0.00005836335,0.000024178305,0.0000091961465],"category_scores_gemma":[0.0000123162245,0.00003748696,0.00003399404,0.00008924609,0.0000058766745,0.000070629176,0.0000121170915,0.000033546676,0.0000055058763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010032544,0.0000103296325,0.0011054461,0.000002295373,0.000016017902,2.8838994e-7,0.00006964896,0.9883063,0.009249086,0.00047860257,0.00015052417,0.0006014708],"study_design_scores_gemma":[0.000404631,0.00025441914,0.029953701,0.000023096234,0.000009966552,0.0000012086208,0.000091177644,0.96321005,0.0056793657,0.0002074446,0.0000337873,0.00013115161],"about_ca_topic_score_codex":0.000020353906,"about_ca_topic_score_gemma":0.0000020450757,"teacher_disagreement_score":0.78906715,"about_ca_system_score_codex":0.0000837391,"about_ca_system_score_gemma":0.000003221756,"threshold_uncertainty_score":0.15286739},"labels":[],"label_agreement":null},{"id":"W2120889471","doi":"10.1109/glocom.2009.5425727","title":"Performance Analysis of Channel Inversion over MIMO Channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wishart distribution; Independent and identically distributed random variables; Algorithm; Phase-shift keying; Computer science; Rayleigh fading; Channel (broadcasting); Fading; Mathematics; Topology (electrical circuits); Combinatorics; Random variable; Statistics; Telecommunications; Bit error rate; Multivariate statistics","score_opus":0.008219918195864546,"score_gpt":0.2092189482834736,"score_spread":0.20099903008760905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120889471","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":[0.624829,0.000115928815,0.36038733,0.000020326283,0.00024590504,0.0001482851,0.00000452204,0.00030087243,0.013947847],"genre_scores_gemma":[0.99822783,0.00007483501,0.0012805943,0.000029915705,0.000026506776,0.000001968703,0.000016389555,0.00000827236,0.00033367917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952745,0.000004669245,0.00017247157,0.00009154593,0.000082608916,0.00012125205],"domain_scores_gemma":[0.9997337,0.000007983551,0.000031621814,0.00015817706,0.000035109566,0.000033434426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046995767,0.00008522094,0.00018282632,0.00029469308,0.00001774173,0.0000045740676,0.00006627155,0.000048998598,0.00007788183],"category_scores_gemma":[0.0000038125347,0.00008183465,0.000058531252,0.00079106627,0.000006575893,0.00021118429,0.0000068683953,0.000036280708,0.000009410443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026753669,0.000007107332,0.00040919887,0.000017417633,0.00007372451,2.1161382e-7,0.00014374431,0.99579936,0.0024070076,0.000046309502,0.00023442214,0.00085882563],"study_design_scores_gemma":[0.000117376585,0.000025002395,0.0028702866,0.000013542183,0.000076274075,2.1183945e-7,0.000028047067,0.9871403,0.009570127,0.000010732799,0.000055541626,0.000092539216],"about_ca_topic_score_codex":0.0000059539666,"about_ca_topic_score_gemma":0.0000026559783,"teacher_disagreement_score":0.37339884,"about_ca_system_score_codex":0.000034883775,"about_ca_system_score_gemma":0.0000022545996,"threshold_uncertainty_score":0.33371204},"labels":[],"label_agreement":null},{"id":"W2120982355","doi":"10.1109/vetecf.2008.108","title":"On the Optimal Receive Soft Antenna Selection for Reliable Communications in MIMO Interference Channels","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Interference (communication); Computer science; Antenna (radio); Rician fading; Channel (broadcasting); 3G MIMO; Electronic engineering; Multi-user MIMO; Channel state information; Diversity gain; Precoding; Transmission (telecommunications); Telecommunications; Wireless; Engineering; Fading","score_opus":0.03441222924770763,"score_gpt":0.2563428030014762,"score_spread":0.2219305737537686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120982355","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":[0.010534109,0.00008386675,0.98498213,0.00027264218,0.00017296041,0.0005510854,0.0000036481047,0.00022802061,0.0031715243],"genre_scores_gemma":[0.97389483,0.00017688172,0.02463972,0.000051977582,0.000024888732,0.00025790973,0.000012684086,0.00002457239,0.0009165153],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948233,0.000019924188,0.00018720354,0.00011136738,0.00004083737,0.00015834221],"domain_scores_gemma":[0.99935997,0.00021380895,0.000028439703,0.00030398738,0.0000739603,0.000019819981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011010677,0.00009483737,0.00010154218,0.00007687646,0.00012559966,0.0000122405845,0.00020801894,0.00005286384,0.000021487975],"category_scores_gemma":[0.0000791169,0.00007661394,0.000024157242,0.00024645103,0.00003039192,0.00015399352,0.000022966351,0.00013886574,0.000022152964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018194365,0.00002653507,0.00012946346,0.00001400543,0.00001017122,1.6806956e-7,0.00069728243,0.9909226,0.0019749464,0.0035128242,0.002531222,0.00016263529],"study_design_scores_gemma":[0.0001837932,0.000054421416,0.00003000366,0.00005916686,0.0000020637901,0.0000071837267,0.00016917361,0.9962474,0.002360466,0.00030077813,0.00048590684,0.000099654695],"about_ca_topic_score_codex":0.000040237184,"about_ca_topic_score_gemma":0.00008822473,"teacher_disagreement_score":0.9633607,"about_ca_system_score_codex":0.000101089565,"about_ca_system_score_gemma":0.000011350405,"threshold_uncertainty_score":0.31242257},"labels":[],"label_agreement":null},{"id":"W2121224632","doi":"10.1109/icc.2012.6364699","title":"Distributed scheduling and power control for cognitive spatial-reuse TDMA networks","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Time division multiple access; Power control; Schedule; Scheduling (production processes); Mathematical optimization; Quality of service; Computer network; Cognitive radio; Distributed computing; Distributed algorithm; Reuse; Optimization problem; Power (physics); Algorithm; Telecommunications; Wireless; Engineering; Mathematics","score_opus":0.007104565291535781,"score_gpt":0.22077509087534325,"score_spread":0.21367052558380747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121224632","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":[0.0073959557,0.0007140935,0.99050367,0.00001665624,0.00030917945,0.00048144016,0.000057484172,0.00023612121,0.00028538675],"genre_scores_gemma":[0.98732173,0.00001470346,0.012295494,0.000034446886,0.00015702912,0.000045127108,0.00007437603,0.000033319135,0.000023740771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945545,0.000010236131,0.00014927064,0.000088551686,0.000032900094,0.00026358393],"domain_scores_gemma":[0.999548,0.00016959645,0.000026383053,0.000099834935,0.00006751903,0.00008862227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009612651,0.00011296058,0.00014218963,0.000025090647,0.000044483517,0.000019083107,0.000038266615,0.00007668964,0.000020808207],"category_scores_gemma":[0.00015459617,0.00010860176,0.000022965485,0.000055661636,0.000014312006,0.00023149056,0.000014376721,0.000059011552,0.0000046420596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004291309,0.000019656727,0.004102993,0.000038771286,0.0000932686,3.907634e-7,0.00021478257,0.9924531,0.00034785183,0.0005569374,0.00024611418,0.0018832304],"study_design_scores_gemma":[0.0014016445,0.000021632562,0.0008222061,0.000036650967,0.00003491726,0.0000032747173,0.00016524429,0.99661446,0.0004622429,0.000031479543,0.0002224952,0.00018376777],"about_ca_topic_score_codex":0.0000053813383,"about_ca_topic_score_gemma":0.0000052974365,"teacher_disagreement_score":0.9799258,"about_ca_system_score_codex":0.000027787379,"about_ca_system_score_gemma":0.0000025456636,"threshold_uncertainty_score":0.4428651},"labels":[],"label_agreement":null},{"id":"W2121370243","doi":"10.1109/glocom.2009.5425481","title":"Exploiting the Interference Diversity Gain in Frequency Domain: The UMTS LTE Scenario","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interference (communication); UMTS frequency bands; Diversity scheme; Computer science; Diversity gain; Constraint (computer-aided design); Antenna diversity; Resource allocation; Frequency domain; Channel (broadcasting); Co-channel interference; Computer network; Telecommunications; Orthogonal frequency-division multiplexing; Engineering; Wireless; MIMO","score_opus":0.01617323604463367,"score_gpt":0.21231359054583104,"score_spread":0.19614035450119738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121370243","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":[0.11766335,0.00021704723,0.82356,0.0006562244,0.00022304118,0.00036767664,0.0000014464829,0.0003125333,0.056998678],"genre_scores_gemma":[0.99386483,0.000025462878,0.005830001,0.00014477281,0.000043502216,0.0000055384744,0.0000014244055,0.000008116782,0.00007634603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940705,0.000039678882,0.00016423377,0.00011332179,0.00008131538,0.00019441741],"domain_scores_gemma":[0.9996325,0.00006254231,0.000026346619,0.0002343937,0.000021593645,0.000022623177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020796487,0.00010295146,0.00008911298,0.00003723114,0.00015717447,0.000029542405,0.00027794784,0.00003736269,0.00002850948],"category_scores_gemma":[0.000033004668,0.00006291126,0.000024926836,0.00020321393,0.000023151844,0.00022526163,0.00007116616,0.00017806923,0.000023362018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017693941,0.000054563814,0.01607165,0.00005226749,0.000039444698,0.00003934649,0.03316549,0.85776955,0.008493958,0.06440182,0.0011728952,0.01872132],"study_design_scores_gemma":[0.0036512972,0.0003239242,0.043609243,0.0012274728,0.000058528636,0.00010394642,0.04626593,0.64634943,0.00844133,0.24658056,0.0007147969,0.0026735517],"about_ca_topic_score_codex":0.000114091155,"about_ca_topic_score_gemma":0.00035236214,"teacher_disagreement_score":0.8762015,"about_ca_system_score_codex":0.00011119738,"about_ca_system_score_gemma":0.0000055584032,"threshold_uncertainty_score":0.25654468},"labels":[],"label_agreement":null},{"id":"W2121472466","doi":"10.1109/icassp.2008.4518318","title":"Relation Between Joint Optimizations for Multiuser MIMO Uplink and Downlink with Imperfect CSI","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Telecommunications link; Karush–Kuhn–Tucker conditions; Duality (order theory); Mathematical optimization; MIMO; Computer science; Constraint (computer-aided design); Imperfect; Transmitter; Transceiver; Strong duality; Optimization problem; Mathematics; Channel (broadcasting); Telecommunications; Wireless; Discrete mathematics","score_opus":0.019268572250475777,"score_gpt":0.2184962304606731,"score_spread":0.19922765821019733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121472466","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":[0.027223654,0.0000986324,0.9703673,0.00004964141,0.00007173276,0.00066369656,0.000010055741,0.0004455122,0.0010697402],"genre_scores_gemma":[0.6665986,0.00007715016,0.3325944,0.000010269509,0.00008272913,0.00007766408,0.000099349585,0.00005153276,0.0004083048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993222,0.000008991555,0.00024501063,0.00018561563,0.00006165893,0.0001765591],"domain_scores_gemma":[0.9995482,0.00008059978,0.000040808583,0.00016696242,0.00009279032,0.00007066244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064319094,0.00015303085,0.00018586981,0.00009747004,0.00014883235,0.000016175654,0.000037861508,0.00009922338,0.000013603483],"category_scores_gemma":[0.000026652104,0.00013213113,0.000027804394,0.00015509473,0.00003036155,0.0003206849,0.000011131945,0.00008067198,0.000006903091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005812822,0.0000056861463,0.0067367814,0.000041403204,0.000035875888,6.8865484e-7,0.0002594116,0.9914253,0.00038575465,0.00016703094,0.00035583545,0.00058045663],"study_design_scores_gemma":[0.0013650017,0.000090780355,0.009862507,0.000042830598,0.000044363693,0.000024155066,0.00004170826,0.9856858,0.0019631786,0.00004606663,0.0005001154,0.0003334865],"about_ca_topic_score_codex":0.000008204934,"about_ca_topic_score_gemma":0.000009848113,"teacher_disagreement_score":0.639375,"about_ca_system_score_codex":0.000059609232,"about_ca_system_score_gemma":0.000013852363,"threshold_uncertainty_score":0.53881514},"labels":[],"label_agreement":null},{"id":"W2121596892","doi":"10.1109/vetecs.2009.5073479","title":"Cross-Layer Criterion for MIMO Spatial Multiplexing Systems with Imperfect CSI","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Spatial multiplexing; Computer science; Throughput; Multiplexing; Fading; Physical layer; Channel state information; Channel (broadcasting); Channel capacity; Transmission (telecommunications); Imperfect; Antenna (radio); Electronic engineering; Computer network; Telecommunications; Wireless; Engineering","score_opus":0.012375005642790897,"score_gpt":0.2605266784404598,"score_spread":0.2481516727976689,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121596892","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":[0.030687481,0.00018955572,0.9654069,0.000011233579,0.00045282976,0.00076604745,0.000013801076,0.0006717656,0.0018003751],"genre_scores_gemma":[0.9776615,0.0000065077415,0.021400597,0.000021463873,0.00027569383,0.00007690286,0.00003220903,0.00005196115,0.00047319816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991336,0.0000108595505,0.00026286667,0.00020766942,0.000095136806,0.00028990456],"domain_scores_gemma":[0.99953943,0.00004422246,0.000039681196,0.00020768562,0.00010565872,0.000063289895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009675985,0.00019051078,0.00020982377,0.00007239169,0.000083024584,0.000120372126,0.00008108375,0.00008869984,0.00001501447],"category_scores_gemma":[0.00002499077,0.00016027244,0.000042446027,0.00009905267,0.000012104396,0.00035562762,0.0000058741475,0.0000665314,0.000010646858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041933716,0.000009658157,0.0004133741,0.000120802855,0.00001563611,0.0000020869268,0.00013115625,0.97271997,0.023918068,0.00013114694,0.00013321966,0.0023629335],"study_design_scores_gemma":[0.0010837814,0.00018646926,0.0005987873,0.00010427691,0.00000985025,0.0000213684,0.00006181899,0.9852518,0.011225937,0.000010273318,0.0011447798,0.0003008906],"about_ca_topic_score_codex":0.000067331464,"about_ca_topic_score_gemma":0.00003505096,"teacher_disagreement_score":0.946974,"about_ca_system_score_codex":0.00009619296,"about_ca_system_score_gemma":0.000008479381,"threshold_uncertainty_score":0.653572},"labels":[],"label_agreement":null},{"id":"W2121780062","doi":"10.1109/icc.2006.255734","title":"On the Capacity Statistics of MIMO Ricean and Rayleigh Fading Channels","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Channel state information; Fading; Rician fading; Rayleigh fading; MIMO; Kurtosis; Fading distribution; Channel capacity; Skewness; Wishart distribution; Statistics; Mathematics; Channel (broadcasting); Computer science; Telecommunications; Wireless","score_opus":0.06720011695716249,"score_gpt":0.287423843787456,"score_spread":0.2202237268302935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121780062","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":[0.06370265,0.00013425518,0.77607167,0.0021327662,0.0009885064,0.0005975417,0.0010467456,0.00022913897,0.15509672],"genre_scores_gemma":[0.99154544,0.0001687819,0.0077700308,0.000039913913,0.000043855925,0.000038132745,0.00008397367,0.000016749098,0.0002931466],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931747,0.000054182354,0.00027547847,0.000100802026,0.0001509508,0.0001011457],"domain_scores_gemma":[0.99872637,0.00041425906,0.00010422181,0.00051821175,0.000214046,0.000022909837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012122301,0.0001150127,0.000111638066,0.000101423204,0.00011277762,0.000042623084,0.00049303216,0.00004427318,0.0000565881],"category_scores_gemma":[0.00005668757,0.00010159788,0.000021280463,0.00009665182,0.00012295644,0.00009343413,0.00003778333,0.0001829849,0.000019858157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004511594,0.000054002157,0.00010066391,0.000010795217,0.000030069945,2.4113822e-7,0.00017677112,0.14345694,0.0030522852,0.85022175,0.0025160217,0.0003759563],"study_design_scores_gemma":[0.00032587035,0.000045535464,0.0006725633,0.00018785187,0.000016136073,0.000004815971,0.00014277222,0.9496642,0.0047589373,0.042268563,0.0016680394,0.00024473862],"about_ca_topic_score_codex":0.00012676157,"about_ca_topic_score_gemma":0.0001405682,"teacher_disagreement_score":0.9278428,"about_ca_system_score_codex":0.00006885569,"about_ca_system_score_gemma":0.000012718921,"threshold_uncertainty_score":0.4143041},"labels":[],"label_agreement":null},{"id":"W2121844001","doi":"10.1109/twc.2009.080708","title":"Linear processing and sum throughput in the multiuser MIMO downlink","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; MIMO; Telecommunications link; Computer science; Minimum mean square error; Decoding methods; Computational complexity theory; Algorithm; Mathematical optimization; Mean squared error; Mathematics; Channel (broadcasting); Telecommunications; Statistics","score_opus":0.024039741498959412,"score_gpt":0.27521936051912527,"score_spread":0.25117961902016583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121844001","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":[0.013346325,0.00067426584,0.9828981,0.0013703749,0.000082944236,0.00043626686,0.000018587292,0.0002669539,0.00090617687],"genre_scores_gemma":[0.9824924,0.0012568126,0.015912393,0.00014944059,0.000017421959,0.000100226745,0.000011414884,0.000024377194,0.000035548546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992036,0.00008678359,0.0002885664,0.00014428514,0.00009814626,0.00017859133],"domain_scores_gemma":[0.99882615,0.00015152725,0.000037851594,0.0009010035,0.000048570586,0.000034912264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014432702,0.00015452079,0.0001488915,0.00012860926,0.0003150426,0.000046750265,0.00043736873,0.00009263683,0.000003437597],"category_scores_gemma":[0.0000034303562,0.0001363471,0.00003621215,0.00045079924,0.000079842146,0.00031547656,0.0000016759922,0.00044415085,0.000010748924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009185268,0.0002715547,0.000026205716,0.000041806805,0.000015935699,0.0000012233343,0.004643819,0.86096114,0.0025076931,0.00033414812,0.0000440806,0.13114318],"study_design_scores_gemma":[0.00055887393,0.000039111288,0.00041976565,0.00016021602,0.000026178162,0.000016539947,0.000755257,0.99468505,0.0018939123,0.0001589942,0.0010190215,0.00026707028],"about_ca_topic_score_codex":0.000023734452,"about_ca_topic_score_gemma":0.00030223848,"teacher_disagreement_score":0.969146,"about_ca_system_score_codex":0.00006196179,"about_ca_system_score_gemma":0.000015529502,"threshold_uncertainty_score":0.5560073},"labels":[],"label_agreement":null},{"id":"W2122406775","doi":"10.1109/iswpc.2009.4800599","title":"Performance of Adaptive MIMO System Based on Beam-Nulling","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; Interference (communication); MIMO; Computer science; Beam (structure); Bit error rate; Subspace topology; Signal-to-noise ratio (imaging); Adaptive beamformer; Algorithm; Electronic engineering; Physics; Telecommunications; Optics; Engineering; Channel (broadcasting); Decoding methods; Artificial intelligence","score_opus":0.007717284518507618,"score_gpt":0.18864979251900746,"score_spread":0.18093250800049984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122406775","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":[0.07643045,0.000056993347,0.85757226,0.0000073308674,0.00019266906,0.00025451137,0.0000037842594,0.00057585316,0.06490617],"genre_scores_gemma":[0.98156804,0.0000039362194,0.018267363,0.0000147603505,0.000034968165,0.0000055475157,0.000003561232,0.000016033842,0.000085792475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947107,0.0000068634718,0.00020280656,0.00009670781,0.00009575418,0.00012680363],"domain_scores_gemma":[0.9996932,0.00002470015,0.000036087305,0.00017004667,0.00004548521,0.000030468971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000064331005,0.000102711674,0.00014630439,0.000083038314,0.000022437802,0.000004137864,0.00006456623,0.000046950394,0.000009324004],"category_scores_gemma":[0.0000049849987,0.00009678157,0.00002813968,0.00014332232,0.0000060368784,0.00010148647,0.000002279436,0.000057146583,0.000020470421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000141692635,0.000007162222,0.000059948743,0.00007900006,0.0000036329668,5.7039847e-7,0.000027730028,0.9963044,0.0021464329,0.00039195357,0.0000336901,0.0009313326],"study_design_scores_gemma":[0.00019351873,0.00013739082,0.00015888597,0.00022466609,0.0000044111025,0.0000010576039,0.00006957233,0.9648533,0.03423701,0.0000013253173,0.000021386864,0.00009746899],"about_ca_topic_score_codex":0.0000022185313,"about_ca_topic_score_gemma":5.4245373e-7,"teacher_disagreement_score":0.9051376,"about_ca_system_score_codex":0.00008927741,"about_ca_system_score_gemma":0.000006649145,"threshold_uncertainty_score":0.3946638},"labels":[],"label_agreement":null},{"id":"W2122480671","doi":"10.1109/tvt.2006.889566","title":"A Propagation-Measurement-Based Evaluation of Channel Characteristics and Models Pertinent to the Expansion of Mobile Radio Systems to Frequencies Beyond 2 GHz","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"Technische Universiteit Eindhoven","keywords":"Fading; Channel (broadcasting); Electronic engineering; Wireless; Radio spectrum; Envelope (radar); Radio frequency; Mobile radio; Radio propagation; Transmission (telecommunications); Delay spread; Telecommunications; Computer science; Engineering; Electrical engineering","score_opus":0.01890137858595655,"score_gpt":0.24103232693850812,"score_spread":0.22213094835255157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122480671","genre_codex":"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":[0.269133,0.000282251,0.728788,0.00007270232,0.00022710858,0.0013417937,0.00002156235,0.00012317674,0.000010420558],"genre_scores_gemma":[0.99691623,0.000018983286,0.002454497,0.000011143572,0.000014729815,0.00054602645,0.0000039713823,0.000030851606,0.0000035833768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864495,0.000043034837,0.0004868074,0.00019987539,0.00043899534,0.00018633888],"domain_scores_gemma":[0.99879676,0.00002978823,0.00010305109,0.0003674839,0.0006540042,0.000048913473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008994708,0.00015735232,0.00025312093,0.00054360554,0.00007741707,0.000007690588,0.00012511521,0.00016206231,0.0000021862543],"category_scores_gemma":[0.000030682604,0.0001370142,0.000038878017,0.0005959005,0.00004956132,0.00008068193,0.0000015838492,0.00013378917,0.0000023514363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015983103,0.000032273794,0.0000026030582,0.00008864895,0.000026550777,4.349678e-7,0.0003257124,0.82579577,0.16676874,0.00004444596,0.0000036266426,0.0068951827],"study_design_scores_gemma":[0.00028110342,0.00017135678,0.000018356595,0.00015763377,0.00006166573,0.000006183224,0.0004996066,0.71889794,0.27974647,0.00003071298,0.000020246145,0.000108732354],"about_ca_topic_score_codex":0.000023435889,"about_ca_topic_score_gemma":0.000038861035,"teacher_disagreement_score":0.7277832,"about_ca_system_score_codex":0.0002435787,"about_ca_system_score_gemma":0.000046663165,"threshold_uncertainty_score":0.5587277},"labels":[],"label_agreement":null},{"id":"W2122674721","doi":"10.1109/ccece.2006.277360","title":"A Multiuser Zeroforcing System with Reduced Near-Far Problem and MIMO Channel Correlations","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Space-division multiple access; MIMO; Telecommunications link; Computer science; Channel (broadcasting); Multi-user MIMO; MIMO-OFDM; Transmission (telecommunications); Precoding; Reduction (mathematics); Antenna (radio); Electronic engineering; 3G MIMO; Channel capacity; Spatial correlation; Computer network; Telecommunications; Engineering; Mathematics","score_opus":0.0053735006516929095,"score_gpt":0.18052671869151565,"score_spread":0.17515321803982276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122674721","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":[0.028497253,0.00016780385,0.9528856,0.000017506805,0.000113828224,0.0005474135,0.0000042149527,0.0009554987,0.01681084],"genre_scores_gemma":[0.9438226,0.000003262878,0.054866057,0.000003922431,0.000052775224,0.000066653774,0.000017094544,0.000052910396,0.0011147207],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993275,0.00001062464,0.00021734375,0.00016718103,0.000076288175,0.00020110566],"domain_scores_gemma":[0.99969095,0.000022534703,0.00004026194,0.0001454965,0.000054894055,0.000045891065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052706473,0.00014727867,0.00014890076,0.000058650232,0.00011957082,0.000050929943,0.00003890271,0.00006712302,0.0000040731657],"category_scores_gemma":[0.0000032008998,0.00012700807,0.000014672607,0.00018630912,0.000020643862,0.0002529607,0.000011401125,0.00007644607,0.000015105676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038629964,0.0000053243516,0.0003476131,0.00013666962,0.000012593836,0.0000022909255,0.00019315619,0.9957016,0.0012833349,0.0020451793,0.00018795855,0.000080406746],"study_design_scores_gemma":[0.000498754,0.000018918225,0.00040735985,0.00016441134,0.000015341744,0.00004527967,0.00032813754,0.9975086,0.0006599749,0.00002023439,0.00013383747,0.00019916965],"about_ca_topic_score_codex":0.00020879935,"about_ca_topic_score_gemma":0.00015165358,"teacher_disagreement_score":0.91532534,"about_ca_system_score_codex":0.000083235296,"about_ca_system_score_gemma":0.00000989115,"threshold_uncertainty_score":0.5179239},"labels":[],"label_agreement":null},{"id":"W2122771632","doi":"10.1109/milcom.1991.258223","title":"Transmission power optimization of multi-hop spread spectrum packet radio networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer network; Computer science; Network packet; Hop (telecommunications); Node (physics); Network topology; Transmission (telecommunications); Spread spectrum; Throughput; Topology (electrical circuits); Wireless; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.009931958442078354,"score_gpt":0.20323633526358476,"score_spread":0.1933043768215064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122771632","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":[0.00024036739,0.0010310276,0.9895563,0.00003357592,0.00025253775,0.00025257736,0.000002587158,0.00040534663,0.008225654],"genre_scores_gemma":[0.8401056,0.0007093398,0.15781781,0.000011846926,0.000051448962,0.000009301434,0.000018956029,0.00006981658,0.0012058717],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999179,0.00002086436,0.0003282472,0.00015802875,0.000096926815,0.00021690746],"domain_scores_gemma":[0.99959475,0.000025368077,0.000049173075,0.00022215658,0.000033975044,0.00007459382],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000058988422,0.00016359889,0.00020445131,0.00009125716,0.000030231766,0.000012062467,0.00009026609,0.00012564014,0.0014162732],"category_scores_gemma":[0.000009172384,0.00015740015,0.000056325272,0.00025828902,0.000018497232,0.00024075244,0.0000074609143,0.0000978792,0.000016185992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036895235,0.000029143652,0.000052198826,0.000025764297,0.000015392689,0.0000013610065,0.00017945317,0.99647105,0.00049604435,0.000064509135,0.0010453506,0.0016160348],"study_design_scores_gemma":[0.00052232615,0.000026255313,0.000026849584,0.00004703433,0.000009404271,0.000005575288,0.000029922348,0.9959831,0.002630862,0.000005200323,0.0005408351,0.00017262707],"about_ca_topic_score_codex":0.0000051966476,"about_ca_topic_score_gemma":0.0000032842797,"teacher_disagreement_score":0.83986527,"about_ca_system_score_codex":0.000053094947,"about_ca_system_score_gemma":0.0000020127734,"threshold_uncertainty_score":0.9994966},"labels":[],"label_agreement":null},{"id":"W2123331098","doi":"10.1109/isit.2009.5205743","title":"Throughput of precoded broadcast transmission with noisy feedback","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Computer science; Transmitter; Zero-forcing precoding; Channel state information; Telecommunications link; MIMO; Orthogonal frequency-division multiplexing; Multiplexing; Channel (broadcasting); Transmission (telecommunications); Electronic engineering; Gaussian noise; Computer network; Telecommunications; Wireless; Algorithm; Engineering","score_opus":0.005718271505453256,"score_gpt":0.19977255210475744,"score_spread":0.19405428059930419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123331098","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":[0.00684175,0.00022592323,0.9566619,0.000031055584,0.00003543682,0.00018041884,0.0000014164054,0.000269748,0.035752375],"genre_scores_gemma":[0.90143496,0.0000677601,0.09782661,0.000013641889,0.000021619193,0.0000016448732,0.000005797786,0.000019856721,0.0006081129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952954,0.000005968999,0.00016963719,0.0000984954,0.00007738726,0.000118961674],"domain_scores_gemma":[0.99975014,0.000009382786,0.000023645667,0.00014398902,0.00003515077,0.000037710484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026180627,0.00010537439,0.00014568964,0.000035254925,0.000014577504,0.0000056769395,0.00005825674,0.00004740498,0.00007037712],"category_scores_gemma":[0.000001913902,0.0000786039,0.000022387978,0.00014725003,0.000009811168,0.00018097965,0.0000019184663,0.00004852665,0.000009254949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019496196,0.000019831561,0.000023530618,0.000052249925,0.000010543784,8.771238e-7,0.000303621,0.92993206,0.021268882,0.00018541719,0.00027063576,0.04791285],"study_design_scores_gemma":[0.0021424324,0.00047935665,0.0008001185,0.00038671584,0.00003643088,0.000034650064,0.0002206819,0.73184055,0.25573397,0.00031726988,0.0074165077,0.00059129915],"about_ca_topic_score_codex":0.000004192962,"about_ca_topic_score_gemma":0.0000018976837,"teacher_disagreement_score":0.8945932,"about_ca_system_score_codex":0.000022191973,"about_ca_system_score_gemma":0.0000061672536,"threshold_uncertainty_score":0.32053742},"labels":[],"label_agreement":null},{"id":"W2123578281","doi":"10.1109/vetecs.2005.1543366","title":"Flexible Channel Feedback Quantization in Multiple Antenna Systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Codebook; Channel state information; MIMO; Fading; Transmitter; Quantization (signal processing); Precoding; Computer science; Covariance; Control theory (sociology); Channel (broadcasting); Channel capacity; Vector quantization; Algorithm; Mathematics; Telecommunications; Wireless; Statistics; Artificial intelligence","score_opus":0.019058739999181607,"score_gpt":0.22348827524974368,"score_spread":0.20442953525056207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123578281","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":[0.008542783,0.00061810005,0.98486286,0.000034021486,0.000404267,0.00035948466,0.0000035462162,0.0007314962,0.0044434485],"genre_scores_gemma":[0.9928549,0.00008361206,0.0059121386,0.000011204035,0.00013945972,0.00003925544,0.000022906164,0.000043123582,0.0008934025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923795,0.000014948938,0.00030451684,0.00014310601,0.00007927717,0.00022016832],"domain_scores_gemma":[0.9997051,0.000024963654,0.000028352173,0.00016108151,0.000038804417,0.00004174975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009541189,0.00012407279,0.00015448952,0.00016213245,0.000025677398,0.000029198975,0.00007399692,0.00007892738,0.000018198194],"category_scores_gemma":[0.000024628913,0.00012823827,0.00001925485,0.00032650825,0.000007975136,0.0004010116,0.00001101836,0.000068816385,0.00017785972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002921854,0.000013207084,0.00039553447,0.00005660349,0.000004353596,6.929699e-7,0.00013411639,0.99330187,0.004727757,0.0007248034,0.00018459569,0.0004535273],"study_design_scores_gemma":[0.0003283086,0.000006584283,0.00014738264,0.00006237361,0.0000015978445,0.000004580385,0.00023314715,0.9949077,0.0033096748,0.000015744245,0.00082684954,0.00015605426],"about_ca_topic_score_codex":0.00006286758,"about_ca_topic_score_gemma":0.00018369383,"teacher_disagreement_score":0.9843121,"about_ca_system_score_codex":0.00013278457,"about_ca_system_score_gemma":0.0000052343125,"threshold_uncertainty_score":0.5229405},"labels":[],"label_agreement":null},{"id":"W2123688695","doi":"10.1109/cdc.1999.833332","title":"Stochastic models for short-term multipath fading channels: chi-square and Ornstein-Uhlenbeck processes","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rician fading; Fading; Envelope (radar); Fading distribution; Nakagami distribution; Term (time); Stochastic process; Statistical physics; Multipath propagation; Rayleigh fading; Mathematics; Channel (broadcasting); Physics; Statistics; Computer science; Telecommunications; Radar; Quantum mechanics","score_opus":0.026878526793780562,"score_gpt":0.24383567690161034,"score_spread":0.2169571501078298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123688695","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":[0.012042639,0.00080129446,0.9845095,0.0000026129667,0.00023031313,0.0008411124,0.000013978954,0.00041945037,0.001139053],"genre_scores_gemma":[0.9691217,0.00004153007,0.030204019,0.0000072841026,0.00006277854,0.0002506225,0.000015323338,0.00007637604,0.00022037444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991337,0.000008497441,0.0002359067,0.0002505263,0.0000769187,0.00029442122],"domain_scores_gemma":[0.9995714,0.000068320114,0.000024891991,0.00014706068,0.00010318268,0.000085149826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000765741,0.00021224594,0.00021561049,0.000092011425,0.00008537393,0.00004721679,0.000064284795,0.0000838772,0.00000860366],"category_scores_gemma":[0.000098371645,0.00020541271,0.000026459626,0.00014851456,0.000015445059,0.0004591367,0.000011398028,0.00006346423,0.000002350528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003886894,0.000009716204,0.000029685963,0.0005703943,0.000016668779,6.316204e-7,0.0005974314,0.99644715,0.0004632753,0.0012097653,0.000021939972,0.000629467],"study_design_scores_gemma":[0.00040773934,0.00003705523,0.000002613195,0.00015468663,0.00001706617,0.000014794785,0.00032963904,0.99540186,0.0028076929,0.00048477302,0.00004950011,0.0002925604],"about_ca_topic_score_codex":0.0000018305074,"about_ca_topic_score_gemma":0.000015930684,"teacher_disagreement_score":0.95707905,"about_ca_system_score_codex":0.000050423583,"about_ca_system_score_gemma":0.000017243001,"threshold_uncertainty_score":0.83764875},"labels":[],"label_agreement":null},{"id":"W2124327616","doi":"10.1109/ccece.2004.1345088","title":"Investigation of MIMO channel correlation and capacity based on partial embedded RF measurements","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Matrix (chemical analysis); Electronic engineering; Channel (broadcasting); Diagonal; Computer science; Covariance matrix; Monte Carlo method; Channel capacity; Radio frequency; Algorithm; Mathematics; Telecommunications; Engineering; Statistics; Materials science","score_opus":0.04011210732810348,"score_gpt":0.21663250098362938,"score_spread":0.1765203936555259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124327616","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":[0.19363113,0.000011252062,0.80465496,0.000020877886,0.00017326123,0.00021640693,0.0000028784941,0.00012867707,0.00116055],"genre_scores_gemma":[0.9906861,0.0000013987423,0.009210011,0.000024654248,0.000024215582,0.0000134140155,0.000016515694,0.000015008603,0.000008635261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994768,0.000014223904,0.00018763059,0.00010240329,0.00013040591,0.000088559675],"domain_scores_gemma":[0.9997359,0.000014188141,0.00004647666,0.00010296509,0.000055034558,0.000045473007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106933345,0.00008928791,0.000098934615,0.00007102112,0.000026287591,0.0000066005373,0.00002476258,0.000061021816,0.0000067173933],"category_scores_gemma":[0.000039775747,0.00009159539,0.000014411434,0.00011026806,0.000022148599,0.00015360076,0.0000031914074,0.000048067246,0.000004955897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006379959,0.000005161174,0.0007807292,0.00003963012,0.000005434459,8.748916e-8,0.00023114367,0.98055935,0.018131623,0.00016636786,0.000013027844,0.00006104689],"study_design_scores_gemma":[0.0008725772,0.000045939196,0.0012975414,0.00008595749,0.000009556364,5.4771687e-7,0.00002853274,0.78757524,0.20948581,0.0004868585,0.000002530329,0.000108891545],"about_ca_topic_score_codex":0.00002480776,"about_ca_topic_score_gemma":0.000019813675,"teacher_disagreement_score":0.797055,"about_ca_system_score_codex":0.000077972065,"about_ca_system_score_gemma":0.000010866943,"threshold_uncertainty_score":0.37351516},"labels":[],"label_agreement":null},{"id":"W2124360491","doi":"10.1109/twc.2010.080610.090901","title":"Queue-Aware Resource Allocation for Downlink OFDMA Cognitive Radio Networks","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Heuristics; Cognitive radio; Resource allocation; Mathematical optimization; Transmitter power output; Queue; Telecommunications link; Computer network; Wireless; Transmitter; Channel (broadcasting); Mathematics; Telecommunications","score_opus":0.016108396385778198,"score_gpt":0.25422489945361293,"score_spread":0.23811650306783472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124360491","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":[0.0029007983,0.00018129488,0.9932758,0.00044590724,0.0006202301,0.0010444263,0.00020840505,0.0007829619,0.0005401675],"genre_scores_gemma":[0.9875991,0.00069483067,0.009195598,0.000066321925,0.00009618617,0.0017328935,0.00023138213,0.000108327986,0.0002753891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884945,0.000076222925,0.0004247393,0.0002485829,0.00011333345,0.00028769224],"domain_scores_gemma":[0.9976147,0.000671815,0.00009627788,0.0012387335,0.00026376423,0.00011472308],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001758334,0.00024918467,0.0002395383,0.00019276213,0.00058668974,0.000056232908,0.0005660565,0.0002589965,0.000034966575],"category_scores_gemma":[0.000011720037,0.00029260348,0.00012704138,0.00042027145,0.0001457761,0.00028304398,0.0000036509707,0.00075894565,0.000021730977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000277146,0.00015317314,0.000007781399,0.00004190217,0.000107222,1.6727701e-7,0.00040037747,0.9388851,0.004404522,0.00067678833,0.0003120383,0.054983217],"study_design_scores_gemma":[0.0007402624,0.000035597965,0.000029845436,0.00013606714,0.00010262495,0.000007022264,0.00027389545,0.98605335,0.008644799,0.000044180433,0.0035772407,0.00035510905],"about_ca_topic_score_codex":0.000026015961,"about_ca_topic_score_gemma":0.0007183123,"teacher_disagreement_score":0.9846983,"about_ca_system_score_codex":0.00009712459,"about_ca_system_score_gemma":0.00003599243,"threshold_uncertainty_score":0.9999526},"labels":[],"label_agreement":null},{"id":"W2124672788","doi":"10.1109/pimrc.2005.1651692","title":"Real-Time Handoff in Solar/Battery Powered ESS Mesh Networks","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Handover; Mesh networking; Computer network; Software deployment; Node (physics); Process (computing); Battery (electricity); Power (physics); Real-time computing; Distributed computing; Wireless; Engineering; Telecommunications; Operating system","score_opus":0.0035672722196664086,"score_gpt":0.1881425419132202,"score_spread":0.18457526969355378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124672788","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":[0.015809385,0.00012450757,0.9125699,0.000021970784,0.00033857065,0.0002726831,0.0000028823815,0.00076171214,0.0700984],"genre_scores_gemma":[0.9878913,0.000059086207,0.008280023,0.000015890198,0.00017337913,0.0000250189,0.00006123344,0.00006170584,0.0034323225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992257,0.000018039034,0.00027709507,0.00014691132,0.00006502353,0.0002672664],"domain_scores_gemma":[0.99969584,0.000035410325,0.000025179332,0.00019149884,0.000020912834,0.000031150128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008776838,0.00013676708,0.00018431155,0.00008711996,0.000020913421,0.000027621718,0.00007077913,0.00010268692,0.00013684292],"category_scores_gemma":[0.0000049871346,0.00014186132,0.000028434677,0.00019879418,0.000009791287,0.0002038667,0.00001656206,0.00009081261,0.00007490864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039288784,0.000009723761,0.00072378817,0.000012692811,0.00000514438,0.0000075070698,0.00001840244,0.9909005,0.004066105,0.00019350609,0.0038462516,0.00021244514],"study_design_scores_gemma":[0.0005817333,0.000007718755,0.0013321588,0.00004503331,0.000004035497,0.0000057261423,0.000014667941,0.9955493,0.0018839827,0.00012023851,0.00021994245,0.00023543098],"about_ca_topic_score_codex":0.00015952103,"about_ca_topic_score_gemma":0.00014321525,"teacher_disagreement_score":0.97208196,"about_ca_system_score_codex":0.000090281595,"about_ca_system_score_gemma":0.000005003126,"threshold_uncertainty_score":0.5784937},"labels":[],"label_agreement":null},{"id":"W2125059246","doi":"10.1109/t-wc.2008.070582","title":"On the design, selection algorithm and performance analysis of limited feedback transmit beamforming","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Beamforming; Selection (genetic algorithm); Algorithm; Selection algorithm; Algorithm design; Mathematical optimization; Telecommunications; Machine learning; Mathematics","score_opus":0.026920295271402116,"score_gpt":0.22889526836942728,"score_spread":0.20197497309802517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125059246","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":[0.06914013,0.00008023723,0.9299259,0.00007526348,0.000053451662,0.00032751716,0.000030123452,0.00018489994,0.00018245638],"genre_scores_gemma":[0.9661042,0.0024793148,0.031126793,0.000023555578,0.0000051214242,0.00015111412,0.000014451044,0.00003275561,0.00006269329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910027,0.00010738586,0.00035092773,0.00014389028,0.00013942401,0.00015809538],"domain_scores_gemma":[0.99847126,0.00055351504,0.000074750365,0.00074926217,0.00010558259,0.000045646604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001490522,0.00017016339,0.00024742127,0.00043056198,0.0006082865,0.000012976647,0.00025812633,0.00008751102,0.000017539198],"category_scores_gemma":[0.0000035029043,0.00015256605,0.000097741715,0.0015993125,0.00015315675,0.00021241521,0.0000016703594,0.00032187352,0.0000055048417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012390057,0.00007876308,0.000016993983,0.000013223671,0.0003474604,1.0795122e-7,0.00079393614,0.97729665,0.0011807305,0.00007750008,0.000010697311,0.020171532],"study_design_scores_gemma":[0.00018805382,0.000072828276,0.00030029615,0.000046159137,0.0002524324,0.00000950259,0.00009354168,0.9814334,0.017414307,0.000009646257,0.000034767032,0.00014507411],"about_ca_topic_score_codex":0.000023938961,"about_ca_topic_score_gemma":0.00004800181,"teacher_disagreement_score":0.8987991,"about_ca_system_score_codex":0.00008846643,"about_ca_system_score_gemma":0.000018797458,"threshold_uncertainty_score":0.62214625},"labels":[],"label_agreement":null},{"id":"W2125088789","doi":"10.1109/lcomm.2014.2349989","title":"Tier Association Probability and Spectrum Partitioning for Maximum Rate Coverage in Multi-Tier Heterogeneous Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mathematical optimization; Optimization problem; Convex optimization; Outage probability; Wireless network; Fraction (chemistry); Resource allocation; Frequency allocation; Spectrum (functional analysis); Relation (database); Resource management (computing); Wireless; Fading; Mathematics; Regular polygon; Channel (broadcasting); Distributed computing; Computer network; Telecommunications","score_opus":0.019682093285593276,"score_gpt":0.2375875493859888,"score_spread":0.21790545610039552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125088789","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":[0.057003506,0.00018072787,0.9407973,0.0009862543,0.00021946557,0.000589082,0.000010365184,0.00014747027,0.0000658273],"genre_scores_gemma":[0.9713852,0.0001382604,0.027696617,0.00029327293,0.00004498864,0.00031895548,0.00006512242,0.000035280602,0.0000223075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905884,0.00019859473,0.00030486385,0.00015709802,0.00004818325,0.00023243166],"domain_scores_gemma":[0.9988427,0.0003569517,0.00009379032,0.00063434924,0.000035121204,0.000037064216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005748973,0.00012473445,0.00016461447,0.00006909682,0.00013820964,0.000052721534,0.00018984283,0.00008458559,0.0000020985656],"category_scores_gemma":[0.00011254438,0.00015150732,0.000035260724,0.00013760965,0.000034824716,0.0001997221,0.000034663757,0.0001728074,0.0000038392304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037155696,0.000019763453,0.0051301,0.000026878568,0.000017663815,1.08887065e-7,0.00014336979,0.9922896,0.001321054,0.000061577084,0.00017227928,0.0008138858],"study_design_scores_gemma":[0.0005773772,0.000010043102,0.001978341,0.000037127764,0.0000123333275,0.0000014301712,0.000006237479,0.9941699,0.00042921214,0.0005250966,0.0020749334,0.00017798971],"about_ca_topic_score_codex":0.000015139891,"about_ca_topic_score_gemma":0.00031589152,"teacher_disagreement_score":0.9143817,"about_ca_system_score_codex":0.00034063528,"about_ca_system_score_gemma":0.000004589977,"threshold_uncertainty_score":0.61782897},"labels":[],"label_agreement":null},{"id":"W2125647353","doi":"10.1109/icpwc.1996.494260","title":"Performance of fuzzy algorithm based handover process for personal communication systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Computer science; Soft handover; Fuzzy logic; Computer network; Process (computing); Wireless; Fuzzy control system; Reduction (mathematics); Reuse; Wireless network; Mobility management; Algorithm; Real-time computing; Distributed computing; Engineering; Telecommunications","score_opus":0.01737632288799744,"score_gpt":0.2250396505261911,"score_spread":0.20766332763819367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125647353","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":[0.020630494,0.0009502411,0.9721543,0.00001293437,0.00014548874,0.00064869545,0.000026091624,0.0002363501,0.005195358],"genre_scores_gemma":[0.9798904,0.00005109434,0.019495826,0.0000053063304,0.000028806615,0.000138792,0.000024866064,0.000024773393,0.0003401426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995139,0.000008823022,0.00020673155,0.00007500835,0.00008488757,0.00011064817],"domain_scores_gemma":[0.9996241,0.00004319257,0.000049072103,0.00013721379,0.00012254718,0.00002387439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007650817,0.00008441923,0.00013041585,0.0000528162,0.000042153515,0.000009752767,0.00008388968,0.00004871059,0.00002887425],"category_scores_gemma":[0.000009039658,0.000082033155,0.000026407433,0.00011333303,0.000015717762,0.00020274724,0.0000043379846,0.000040397732,0.0000067263527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006246963,0.000026066466,0.000134539,0.0007105737,0.000017413191,6.8940295e-8,0.0004052114,0.9918721,0.00041663158,0.00006671568,0.00045837727,0.005886103],"study_design_scores_gemma":[0.00039678128,0.000030073259,0.000010940458,0.00008293322,0.0000072624266,0.000002107636,0.00011309319,0.9968976,0.0021768904,0.000002836461,0.00018412663,0.00009537054],"about_ca_topic_score_codex":0.0000038202506,"about_ca_topic_score_gemma":0.0000010348919,"teacher_disagreement_score":0.9592599,"about_ca_system_score_codex":0.000041347517,"about_ca_system_score_gemma":0.0000041047106,"threshold_uncertainty_score":0.3345215},"labels":[],"label_agreement":null},{"id":"W2125906701","doi":"10.1109/aps.2010.5561927","title":"On MIMO polarization in the user's presence","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Blackberry (Canada)","funders":"","keywords":"Polarization (electrochemistry); MIMO; Physics; Computer science; Channel capacity; Head (geology); Channel (broadcasting); Optoelectronics; Optics; Telecommunications; Chemistry","score_opus":0.005433236567000988,"score_gpt":0.2133379309357947,"score_spread":0.20790469436879372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125906701","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":[0.19913794,0.000017116652,0.75627,0.00016753128,0.0007468797,0.00043362152,0.0000020079071,0.00032236494,0.042902518],"genre_scores_gemma":[0.9959169,0.0000018994184,0.0036354875,0.000052704494,0.000035259058,0.000014269093,0.000004310682,0.000010820936,0.0003283173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970317,0.0000112723965,0.00008158874,0.0000619317,0.00006085577,0.000081195176],"domain_scores_gemma":[0.9997337,0.00006369056,0.000008444962,0.00017190902,0.000011064375,0.00001119232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007921508,0.000049913917,0.000036791735,0.000039675717,0.000017593733,0.00001808423,0.00010119445,0.000041540316,0.000038380127],"category_scores_gemma":[0.00006332991,0.000035641908,0.0000076027477,0.00014475416,0.0000067161914,0.00013490734,0.0000047341873,0.00013142415,0.00003685308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002434053,0.00001828862,0.0021715513,0.000014494934,0.000002558281,0.0000017316416,0.00047120213,0.9057353,0.030743504,0.05865811,0.0011532786,0.0010275128],"study_design_scores_gemma":[0.0005300462,0.000038903177,0.01122909,0.000039125593,0.0000044023727,0.000011783489,0.00027347103,0.9651795,0.013107498,0.0026326808,0.006609259,0.00034425285],"about_ca_topic_score_codex":0.00001968905,"about_ca_topic_score_gemma":0.00022846583,"teacher_disagreement_score":0.796779,"about_ca_system_score_codex":0.000008417315,"about_ca_system_score_gemma":0.0000025096929,"threshold_uncertainty_score":0.14534348},"labels":[],"label_agreement":null},{"id":"W2126831583","doi":"10.1109/jsac.2008.080807","title":"Multiple Frequency Offset Estimation for the Downlink of Coordinated MIMO Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Cramér–Rao bound; Carrier frequency offset; Estimator; Computer science; Telecommunications link; Beamforming; Upper and lower bounds; Algorithm; Signal-to-noise ratio (imaging); Frequency offset; MIMO; Estimation theory; Mathematical optimization; Statistics; Telecommunications; Mathematics; Orthogonal frequency-division multiplexing","score_opus":0.034029029333477824,"score_gpt":0.27302662916512077,"score_spread":0.23899759983164295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126831583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038564175,0.003118,0.9548504,0.00038659232,0.0006950948,0.0013114653,0.00011117876,0.00022008394,0.0007430573],"genre_scores_gemma":[0.9813594,0.0012711984,0.017040314,0.000010122607,0.00004710188,0.00014834129,0.00006464204,0.000034770328,0.000024098554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876475,0.00014998368,0.00067868014,0.00008677487,0.00013510793,0.00018467555],"domain_scores_gemma":[0.9971751,0.0012041297,0.00026106363,0.0007395149,0.00057104736,0.00004916226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029635252,0.00014123575,0.00023255566,0.0002345008,0.0003613874,0.000024248657,0.00060435943,0.000098660545,0.0000030387823],"category_scores_gemma":[0.0005909486,0.000117337484,0.000056077646,0.0007616474,0.00007446104,0.00021306904,0.000015020325,0.00044510534,0.000004618313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015047004,0.000074958116,0.0012004481,0.000028022987,0.000054167915,8.2363033e-7,0.00030926944,0.9936342,0.002816673,0.00052037626,0.00088745845,0.00045850387],"study_design_scores_gemma":[0.0006572204,0.000054011747,0.0015883365,0.0002610332,0.000021473334,0.00013718552,0.00008993616,0.99567807,0.0008372259,0.00014987575,0.0003930519,0.00013259315],"about_ca_topic_score_codex":0.000041821993,"about_ca_topic_score_gemma":0.00011818254,"teacher_disagreement_score":0.9427952,"about_ca_system_score_codex":0.00023687664,"about_ca_system_score_gemma":0.000076161596,"threshold_uncertainty_score":0.4784884},"labels":[],"label_agreement":null},{"id":"W2126874609","doi":"10.1109/ciss.2006.286612","title":"Vector Precoding with MMSE for the Fast Fading and Quasi-Static Multi-User Broadcast Channel","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; Fading; Zero-forcing precoding; MIMO; Computer science; Minimum mean square error; Bit error rate; Channel (broadcasting); Electronic engineering; Interference (communication); Algorithm; Control theory (sociology); Telecommunications; Mathematics; Engineering; Statistics; Artificial intelligence","score_opus":0.013006143385745447,"score_gpt":0.21976052772888302,"score_spread":0.2067543843431376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126874609","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":[0.004512855,0.00026224248,0.99384594,0.00004486317,0.00012421387,0.00060130586,0.000009503436,0.00023424525,0.0003648071],"genre_scores_gemma":[0.94298804,0.000019029048,0.054727178,0.00001476915,0.00008695324,0.00014180242,0.000008396321,0.000058766313,0.0019550568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945295,0.0000068654135,0.00014987843,0.0001375381,0.000051582367,0.00020117212],"domain_scores_gemma":[0.9996549,0.00013268393,0.000030869865,0.000119114986,0.000034626948,0.000027811207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067164205,0.00013370281,0.00011984053,0.0000427043,0.000105087885,0.000048918857,0.000054298565,0.000033478213,0.0000062882577],"category_scores_gemma":[0.00001389941,0.00009048485,0.000017637984,0.0000932298,0.000018250843,0.00019440206,0.000010086716,0.000052147396,0.0000032400305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008767776,0.00001257967,0.00019769795,0.000116107425,0.000025157819,6.770061e-7,0.0005221465,0.99517447,0.0014345739,0.00051577215,0.0002351337,0.0017569074],"study_design_scores_gemma":[0.00068327837,0.000033119217,0.00020526665,0.00005739664,0.000018369143,0.000009670099,0.0005872734,0.9956315,0.0016041091,0.000017173952,0.000987335,0.0001655071],"about_ca_topic_score_codex":0.000051189363,"about_ca_topic_score_gemma":0.00020284587,"teacher_disagreement_score":0.9391188,"about_ca_system_score_codex":0.000040865118,"about_ca_system_score_gemma":0.000003975185,"threshold_uncertainty_score":0.36898652},"labels":[],"label_agreement":null},{"id":"W2127085935","doi":"10.1109/isit.2010.5513389","title":"Interference mitigation with joint beamforming and common message decoding in multicell systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Decoding methods; Base station; Transmitter power output; Interference (communication); Telecommunications link; Transmitter; Computer network; Optimization problem; Multiplexing; Real-time computing; Electronic engineering; Channel (broadcasting); Telecommunications; Engineering; Algorithm","score_opus":0.007560968040207298,"score_gpt":0.20525320845193126,"score_spread":0.19769224041172395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127085935","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":[0.58000845,0.000047743328,0.41652095,0.00000479999,0.00015609633,0.00021392983,8.122253e-7,0.00013919132,0.0029080221],"genre_scores_gemma":[0.9735467,0.0000106216185,0.026311744,0.000003205918,0.000018739715,0.000025928584,0.0000044775093,0.000021066988,0.000057541165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994792,0.000009563983,0.00021594636,0.00011430759,0.000049447703,0.0001315356],"domain_scores_gemma":[0.9997468,0.00003849511,0.000035002617,0.00011670387,0.000021872891,0.000041144882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011884334,0.00010214963,0.00014282812,0.00009632334,0.000025925012,0.0000453038,0.000041799653,0.000055963043,0.0000056188564],"category_scores_gemma":[0.00001399025,0.000088973226,0.000006372555,0.00009516332,0.000017237693,0.00032876965,0.000015105881,0.00016630972,0.0000039488805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006939265,0.000011952614,0.008131163,0.00034521462,0.000011119895,0.000006278678,0.0010016108,0.79661673,0.1878843,0.0027982611,0.00000583135,0.0031806114],"study_design_scores_gemma":[0.0002551602,0.000015338735,0.0004183117,0.00021883773,0.0000039559136,0.00001679107,0.0004845592,0.97958094,0.018804658,0.000026088335,0.000025069552,0.00015027032],"about_ca_topic_score_codex":0.00007768076,"about_ca_topic_score_gemma":0.0011477813,"teacher_disagreement_score":0.3935382,"about_ca_system_score_codex":0.000036735986,"about_ca_system_score_gemma":0.0000036670187,"threshold_uncertainty_score":0.36282226},"labels":[],"label_agreement":null},{"id":"W2127180094","doi":"10.1109/icassp.2008.4518312","title":"Tractable approaches to fair QoS broadcast precoding under channel uncertainty","year":2008,"lang":"en","type":"article","venue":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Computer science; Quality of service; Transmitter; Channel (broadcasting); Mathematical optimization; Channel state information; Broadcasting (networking); Transmitter power output; Robustness (evolution); Transmission (telecommunications); Computer network; MIMO; Wireless; Mathematics; Telecommunications","score_opus":0.10581019521720278,"score_gpt":0.2562555673031192,"score_spread":0.15044537208591643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127180094","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":[0.41565105,0.00019015075,0.54493386,0.0008552915,0.0014490569,0.0010209813,0.000063737396,0.00042347086,0.03541244],"genre_scores_gemma":[0.99298155,0.000085861415,0.0058498634,0.00007150752,0.00034829552,0.000028904833,0.0000036691617,0.00004360598,0.0005867359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858063,0.000005150393,0.0004083668,0.00032848303,0.00039488345,0.00028250992],"domain_scores_gemma":[0.99914247,0.00003688387,0.00019411235,0.0000707386,0.00045133376,0.000104434504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017643986,0.00026663468,0.0002694768,0.00017916116,0.00021777308,0.00012696364,0.00041384008,0.00011275281,0.000020855376],"category_scores_gemma":[0.000059304126,0.00022668921,0.000055057084,0.00020272731,0.000114488525,0.0005037163,0.00006164633,0.00028099326,0.0000043691894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103759245,0.000088846806,0.00024025858,0.00046734992,0.000076457065,0.0000018310565,0.0025289499,0.8319156,0.14930332,0.002221577,0.00059403514,0.012457973],"study_design_scores_gemma":[0.0003835012,0.0000673826,0.0001588503,0.0007221051,0.000028756034,0.000070132046,0.0022555136,0.95043325,0.043141965,0.0023081962,0.000057254667,0.00037309862],"about_ca_topic_score_codex":0.000012196774,"about_ca_topic_score_gemma":0.0000018408879,"teacher_disagreement_score":0.5773305,"about_ca_system_score_codex":0.00014640731,"about_ca_system_score_gemma":0.000053691285,"threshold_uncertainty_score":0.9244118},"labels":[],"label_agreement":null},{"id":"W2127196318","doi":"10.1109/icc.2008.817","title":"Minimum BER Transmit Beamforming for MIMO-OFDM Systems with Finite Rate Feedback","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Beamforming; Orthogonal frequency-division multiplexing; Codebook; MIMO; Bit error rate; Channel state information; Transmitter; Algorithm; Computer science; Multiplexing; Channel (broadcasting); Mathematics; Telecommunications; Decoding methods; Wireless","score_opus":0.013323468576659002,"score_gpt":0.19755045462644594,"score_spread":0.18422698604978693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127196318","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":[0.009401674,0.0002756218,0.9817337,0.00001951108,0.0003515547,0.00087994174,0.000021094402,0.00052863,0.006788308],"genre_scores_gemma":[0.9038607,0.00008841614,0.08563548,0.000039971765,0.00022391726,0.00033389556,0.00005955718,0.00016283072,0.009595241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989889,0.000012541915,0.00033358944,0.00021502213,0.00009912168,0.0003507855],"domain_scores_gemma":[0.99941075,0.0001361578,0.000047015932,0.00022774078,0.00009057363,0.000087747845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009590568,0.00023026526,0.00028160043,0.00009045508,0.00011428971,0.000025134226,0.00010289793,0.000095902535,0.000019128984],"category_scores_gemma":[0.000013452828,0.00019485981,0.000056403256,0.00019474655,0.00002901191,0.00036500042,0.0000054690126,0.00008034217,0.000036076253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027788785,0.0000092625505,0.00007938344,0.00025393235,0.00004963384,0.000005312885,0.00038400973,0.99691033,0.0011278265,0.00014931301,0.00084374537,0.00015948588],"study_design_scores_gemma":[0.0016803578,0.00010710439,0.000028943308,0.00016349922,0.000034621902,0.00007566926,0.00033972794,0.97730494,0.0041903085,0.000014926232,0.015557011,0.0005028733],"about_ca_topic_score_codex":0.000017777169,"about_ca_topic_score_gemma":0.000022002621,"teacher_disagreement_score":0.8960982,"about_ca_system_score_codex":0.0000658975,"about_ca_system_score_gemma":0.000019371608,"threshold_uncertainty_score":0.7946152},"labels":[],"label_agreement":null},{"id":"W2127283113","doi":"10.1109/lcomm.2006.1665120","title":"Mutual information statistics for dual MIMO systems in correlated Rayleigh fading","year":2006,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"MIMO; Rayleigh fading; Kurtosis; Fading; Mathematics; Higher-order statistics; Antenna (radio); Statistics; Skewness; Mutual information; Wireless; Algorithm; Topology (electrical circuits); Telecommunications; Computer science; Signal processing; Beamforming; Combinatorics","score_opus":0.013083826746172963,"score_gpt":0.22983443669775178,"score_spread":0.2167506099515788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127283113","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":[0.012300509,0.0002550151,0.9848249,0.00017562581,0.0006458198,0.0007286532,0.00018172793,0.000290643,0.000597137],"genre_scores_gemma":[0.9476465,0.000046486617,0.05075223,0.00007132268,0.000057029447,0.00030409577,0.001053192,0.000035257613,0.000033868993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990063,0.000051260475,0.0005632022,0.00007902541,0.0000864113,0.0002138546],"domain_scores_gemma":[0.9988808,0.00027568088,0.00011096199,0.00062229205,0.00008410512,0.000026182059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015779003,0.00013670979,0.00016337459,0.00024351841,0.000117080075,0.00006927871,0.0002742762,0.00008059533,0.0000015854583],"category_scores_gemma":[0.000036651316,0.00016759905,0.000025463645,0.00028480202,0.000045520323,0.00058164855,0.000023788694,0.0001706918,0.00003653644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003841741,0.000011448537,0.00017008929,0.00006358572,0.000011355528,4.332478e-7,0.00032091187,0.98031765,0.0046159746,0.0024746135,0.011676197,0.00033389285],"study_design_scores_gemma":[0.00067826716,0.000008696174,0.00021699157,0.00007838682,0.000014183762,0.0000075974167,0.00016167927,0.9863857,0.00026409508,0.000055091834,0.011907314,0.00022199286],"about_ca_topic_score_codex":0.00017334406,"about_ca_topic_score_gemma":0.000113113514,"teacher_disagreement_score":0.935346,"about_ca_system_score_codex":0.00027042977,"about_ca_system_score_gemma":0.000012342648,"threshold_uncertainty_score":0.6834491},"labels":[],"label_agreement":null},{"id":"W2127383183","doi":"10.1109/spawc.2005.1505910","title":"A cross-correlation model for non-isotropic scattering with non-omnidirectional antennas in MIMO propagation channels","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Multipath propagation; Isotropy; Omnidirectional antenna; Physics; Acoustics; Transmitter; MIMO; Spatial correlation; Antenna (radio); Optics; Mathematical analysis; Telecommunications; Channel (broadcasting); Mathematics; Computer science","score_opus":0.010024977606585841,"score_gpt":0.2366038734371832,"score_spread":0.22657889583059737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127383183","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":[0.11603912,0.000014259905,0.88214064,0.00004070397,0.00016646326,0.00070457865,0.0000038747858,0.00019537481,0.0006949814],"genre_scores_gemma":[0.9189606,0.0000054520574,0.07919568,0.00001803103,0.00016888032,0.00032564046,0.00003619844,0.00005012544,0.0012394541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991611,0.0000040860004,0.00028611333,0.00021685606,0.00009900941,0.00023281152],"domain_scores_gemma":[0.99966925,0.000018804554,0.000049596732,0.00012247286,0.000102866754,0.000037033613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008426555,0.00015922605,0.00014940553,0.00017718539,0.000063672036,0.000046471105,0.000057554735,0.00008302881,0.000011327452],"category_scores_gemma":[0.000008699498,0.00015329357,0.000028374645,0.0002076906,0.000016905109,0.00079678325,0.000009112399,0.00008419746,0.000015175486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026898633,0.000016319624,0.0016676836,0.000069991176,0.000007923066,3.355627e-7,0.00032250048,0.9903863,0.0063472553,0.00005374529,0.00002664671,0.0010743907],"study_design_scores_gemma":[0.0009388598,0.000028172903,0.0010584643,0.00009119551,0.0000047348153,0.000007734247,0.000020836927,0.99294156,0.00465212,0.000039551047,0.000024795587,0.00019196137],"about_ca_topic_score_codex":0.000013421283,"about_ca_topic_score_gemma":0.00013474855,"teacher_disagreement_score":0.80294496,"about_ca_system_score_codex":0.0002339215,"about_ca_system_score_gemma":0.000020237147,"threshold_uncertainty_score":0.625113},"labels":[],"label_agreement":null},{"id":"W2127564783","doi":"10.1109/vetecs.2000.851653","title":"Smart antenna for capacity enhancement in indoor wireless communications at millimeter waves","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Communications Research Centre Canada","funders":"","keywords":"Smart antenna; Antenna (radio); Computer science; Wireless; Electronic engineering; Reconfigurable antenna; Electrical engineering; Conformal antenna; Directional antenna; Telecommunications; Slot antenna; Engineering; Microstrip antenna; Antenna efficiency","score_opus":0.03778136868137812,"score_gpt":0.23752223847707954,"score_spread":0.1997408697957014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127564783","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":[0.11038127,0.00047741944,0.88205934,0.00015446352,0.00017922185,0.0007625282,0.00001979175,0.00019034931,0.0057756375],"genre_scores_gemma":[0.9522348,0.00027945184,0.045624457,0.000039204187,0.000014109188,0.00021339199,0.00002183818,0.000024910238,0.0015478309],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993909,0.000016528631,0.00024660997,0.000112769616,0.000049352282,0.00018381746],"domain_scores_gemma":[0.9994124,0.00007208355,0.00002622794,0.00042125818,0.000034892015,0.00003314912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068992165,0.000104071754,0.00013884295,0.000071159615,0.000056793677,0.000010188297,0.00015413783,0.00005243091,0.00010290504],"category_scores_gemma":[0.000012803602,0.00010457421,0.00003131701,0.000121268706,0.00002816834,0.00013376465,0.00004247543,0.000062063555,0.000048095637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059358095,0.00091670506,0.018542962,0.0012047476,0.00036458822,0.000004047518,0.012186257,0.040769383,0.8809849,0.006246158,0.011635068,0.027085844],"study_design_scores_gemma":[0.0005254685,0.00002133683,0.00018986601,0.000044909902,0.0000058052483,0.0000019245647,0.00007280412,0.97512645,0.020096306,0.000048592905,0.0036724668,0.00019404886],"about_ca_topic_score_codex":0.000023350338,"about_ca_topic_score_gemma":0.0005750207,"teacher_disagreement_score":0.9343571,"about_ca_system_score_codex":0.0001752037,"about_ca_system_score_gemma":0.0000012306637,"threshold_uncertainty_score":0.42644125},"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":"W2127924407","doi":"10.1109/cwit.2011.5872160","title":"Energy-aware user selection and power allocation for cooperative communication system with guaranteed quality-of-service","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Throughput; Relay; Energy consumption; Quality of service; Wireless; Computer network; Communications system; Efficient energy use; Transmission (telecommunications); Energy (signal processing); Power (physics); Telecommunications; Engineering","score_opus":0.021158076601212706,"score_gpt":0.23730629878852658,"score_spread":0.21614822218731386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127924407","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":[0.01452409,0.000089206624,0.98274165,0.000010744046,0.000036889407,0.0003665915,0.0000072938674,0.00023649073,0.0019870498],"genre_scores_gemma":[0.9719648,0.000010847583,0.027719226,0.000023935152,0.000006977008,0.00012852007,0.00003813075,0.000030471512,0.000077121374],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941087,0.00005017514,0.0002711996,0.00011742035,0.00005940886,0.00009095728],"domain_scores_gemma":[0.99923486,0.00005424032,0.00008824807,0.00018472077,0.00041401817,0.000023926594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013607989,0.00011150789,0.00016547878,0.000059007034,0.00006254283,0.00001049963,0.00006581354,0.000066985944,0.000007958044],"category_scores_gemma":[0.0000053111676,0.0000978841,0.000012453073,0.00019886364,0.000013222504,0.00026984257,0.000009811342,0.000036440233,0.0000010347816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00095413195,0.00019579873,0.004031069,0.0035293826,0.000654966,3.6210096e-7,0.021006389,0.43351445,0.051391974,0.4822274,0.0003460215,0.0021480583],"study_design_scores_gemma":[0.0013375534,0.00017491965,0.00061608327,0.00027248752,0.00003742042,0.000011485053,0.0055011227,0.95296806,0.038501803,0.00005184149,0.00017842847,0.00034881354],"about_ca_topic_score_codex":0.0004841223,"about_ca_topic_score_gemma":0.0016024163,"teacher_disagreement_score":0.9574407,"about_ca_system_score_codex":0.000060805854,"about_ca_system_score_gemma":0.000011552248,"threshold_uncertainty_score":0.39915976},"labels":[],"label_agreement":null},{"id":"W2128089968","doi":"10.1109/tsp.2007.894395","title":"On the Maximum Number of Receiver Diversity Antennas That Can Be Usefully Deployed in a Cochannel Interference Dominated Environment","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Interference (communication); Maximal-ratio combining; Signal-to-interference ratio; Fading; Antenna (radio); Antenna diversity; Bit error rate; Computer science; Electronic engineering; Diversity gain; Diversity combining; Antenna array; MIMO; Power (physics); Mathematics; Telecommunications; Beamforming; Physics; Engineering","score_opus":0.0232720846843845,"score_gpt":0.22789626897721293,"score_spread":0.20462418429282844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128089968","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":[0.21700323,0.000017848857,0.7823867,0.000033131197,0.000079487356,0.00020088114,0.000013408475,0.00007252331,0.00019280206],"genre_scores_gemma":[0.999091,0.000023032184,0.00074120704,0.000043011456,0.000007740345,0.000013433164,0.000001754823,0.00003088659,0.000047923393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99906904,0.000036174282,0.00025386125,0.00020013271,0.00020157648,0.00023920505],"domain_scores_gemma":[0.99956053,0.0001379255,0.000076302014,0.00013875423,0.00003670472,0.000049789698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023136454,0.00017936202,0.00017891462,0.00014096597,0.00017008226,0.000016759805,0.00015227956,0.000090972346,0.00007535032],"category_scores_gemma":[0.000003131182,0.00015567144,0.000047402937,0.00025979153,0.00007216722,0.0001898279,0.0000032792111,0.00029905335,0.0000071943136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031462777,0.00015660656,0.00026608232,0.00011508649,0.00004165867,0.000016995098,0.004052518,0.9611602,0.019236585,0.000013597401,0.000011878441,0.014614179],"study_design_scores_gemma":[0.0023702583,0.00021777551,0.00079623534,0.0015520327,0.00010007208,0.00003799828,0.0045260293,0.32330003,0.6654929,0.0007502972,0.000022810133,0.0008335514],"about_ca_topic_score_codex":0.00006307861,"about_ca_topic_score_gemma":0.00014619832,"teacher_disagreement_score":0.7820878,"about_ca_system_score_codex":0.00024706652,"about_ca_system_score_gemma":0.000013768941,"threshold_uncertainty_score":0.63480973},"labels":[],"label_agreement":null},{"id":"W2128094050","doi":"10.1049/el:20073086","title":"Diversity-multiplexing trade-off for mobile urban environments","year":2007,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Microcell; Multiplexing; Diversity (politics); Computer science; MIMO; Channel (broadcasting); Computer network; Diversity gain; Electronic engineering; Telecommunications; Engineering; Political science","score_opus":0.005329283610806238,"score_gpt":0.19644368101598642,"score_spread":0.1911143974051802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128094050","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":[0.13199261,0.0010085993,0.8659553,0.00005524616,0.0002180222,0.00047320043,0.000006429624,0.00019293747,0.000097696065],"genre_scores_gemma":[0.99394786,0.00007068446,0.0053959293,0.00023845502,0.0001540829,0.000036954974,0.00003885231,0.000056334684,0.000060818445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903435,0.0000072312396,0.00017072822,0.00017407129,0.00010517596,0.0005084331],"domain_scores_gemma":[0.99969053,0.000059526574,0.00003510321,0.00015512035,0.0000028743439,0.000056859786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015673097,0.00014435101,0.0001228246,0.000074285956,0.00023617144,0.000009239362,0.00013280561,0.00006238054,0.0000051058846],"category_scores_gemma":[0.000006680728,0.00017718908,0.000060051476,0.00008716065,0.000016665914,0.0001588343,0.00004237771,0.00013937768,0.0000076044703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021129921,0.00001894254,0.0011453967,0.00003609592,0.00006881997,0.0000040606064,0.0011185396,0.79033834,0.19936405,0.00013960809,0.0023681375,0.00537691],"study_design_scores_gemma":[0.0041847476,0.00034515915,0.0013470016,0.000061529834,0.00010679892,0.000021905616,0.00032574596,0.2239208,0.2349591,0.00013852264,0.53284144,0.001747244],"about_ca_topic_score_codex":0.0000011051152,"about_ca_topic_score_gemma":0.000007884933,"teacher_disagreement_score":0.8619553,"about_ca_system_score_codex":0.00046322797,"about_ca_system_score_gemma":0.000003797856,"threshold_uncertainty_score":0.7225561},"labels":[],"label_agreement":null},{"id":"W2128420149","doi":"10.1002/ett.2831","title":"A decision theoretic approach for clustering and rate allocation in coordinated multi‐point (CoMP) networks with delayed channel state information","year":2014,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Partially observable Markov decision process; Computer science; Backhaul (telecommunications); Cluster analysis; Channel state information; Markov decision process; Base station; Mathematical optimization; Markov process; Channel (broadcasting); Markov chain; Information exchange; Markov model; Computer network; Artificial intelligence; Wireless; Mathematics; Machine learning; Telecommunications","score_opus":0.009666251561270796,"score_gpt":0.22653439245933982,"score_spread":0.21686814089806902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128420149","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":[0.002577269,0.0001388365,0.994401,0.0001716045,0.000046208366,0.000966176,0.0000090961,0.0016070005,0.00008281669],"genre_scores_gemma":[0.72795427,0.00060009095,0.27064976,0.000009045294,0.0000016089776,0.0006907979,0.00005850875,0.000030885833,0.000005072161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903286,0.00005503485,0.00043771236,0.00016408248,0.00005085488,0.00025948402],"domain_scores_gemma":[0.9988448,0.00025374605,0.00010551217,0.0006562772,0.00011461263,0.000025025834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003917547,0.00021967586,0.00021923495,0.000596182,0.00027992137,0.000059210546,0.00030702725,0.00014268998,9.429512e-7],"category_scores_gemma":[0.00006449468,0.00021315823,0.000028951556,0.0006891125,0.00010241004,0.00059738994,0.00001657607,0.0003336285,0.0000013508005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004909259,0.00003609377,0.000007268938,0.000045958623,0.00002318103,2.6087406e-8,0.0004146774,0.9182819,0.000056761088,0.00022326595,0.000003619764,0.08085814],"study_design_scores_gemma":[0.0009596284,0.000105904626,0.000055139393,0.00010772261,0.00001823409,0.0000046222426,0.001440888,0.99600816,0.0005280214,0.0004871325,0.000047871385,0.00023667746],"about_ca_topic_score_codex":0.000025076446,"about_ca_topic_score_gemma":0.0002123297,"teacher_disagreement_score":0.72537696,"about_ca_system_score_codex":0.00013522564,"about_ca_system_score_gemma":0.000008190958,"threshold_uncertainty_score":0.869234},"labels":[],"label_agreement":null},{"id":"W2128461950","doi":"10.1109/spawc.2005.1505913","title":"Joint rate and cluster optimization in cooperative MIMO sensor networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Energy consumption; Computer science; Transmission (telecommunications); Cluster (spacecraft); Mathematical optimization; Wireless sensor network; Cooperative MIMO; Joint (building); Range (aeronautics); Topology (electrical circuits); Block (permutation group theory); Energy (signal processing); Algorithm; Mathematics; Multi-user MIMO; Telecommunications; Computer network; Statistics; Engineering; Channel (broadcasting); Electrical engineering","score_opus":0.007899168177014488,"score_gpt":0.20561066689702173,"score_spread":0.19771149872000723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128461950","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":[0.0036526914,0.00018987394,0.9918579,0.00011730318,0.000086908505,0.00026411045,9.3211634e-7,0.00016220257,0.003668073],"genre_scores_gemma":[0.86826426,0.00025118332,0.13017714,0.00018198763,0.00012806879,0.000027023594,0.00001786408,0.000040444942,0.00091204676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994559,0.000033725086,0.00021078876,0.00012536027,0.000029360455,0.00014481728],"domain_scores_gemma":[0.9997977,0.000027346385,0.000018037452,0.0000847692,0.000034984507,0.000037134978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010257561,0.0001084181,0.00012685322,0.00006851472,0.000023044375,0.00002719272,0.000021534543,0.00006754522,0.00005790477],"category_scores_gemma":[0.000017430633,0.00010334141,0.000009580485,0.00013899317,0.000012125216,0.0002827007,0.000013557223,0.000082032646,0.000009779689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003921973,0.000004239725,0.000054298514,0.000007800607,0.000004551177,7.3130644e-7,0.00012937229,0.9987478,0.000168474,0.00006204657,0.00024208378,0.00057466817],"study_design_scores_gemma":[0.000458044,0.000007925633,0.000073115334,0.000021634693,0.000002379431,0.000004273658,0.000066144974,0.9984976,0.0005302507,0.000001805825,0.00021180308,0.00012500458],"about_ca_topic_score_codex":0.0000049145256,"about_ca_topic_score_gemma":0.00008185565,"teacher_disagreement_score":0.86461157,"about_ca_system_score_codex":0.000067049594,"about_ca_system_score_gemma":0.0000032905868,"threshold_uncertainty_score":0.42141402},"labels":[],"label_agreement":null},{"id":"W2129054888","doi":"10.1109/icassp.2010.5495976","title":"Linear transceiver design in a multiuser MIMO system with quantized channel state information","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Channel state information; Precoding; Telecommunications link; Transmitter; Computer science; Quantization (signal processing); Transceiver; Data stream mining; Minimum mean square error; Mean squared error; Channel (broadcasting); Multi-user MIMO; Control theory (sociology); Mathematics; Algorithm; Telecommunications; Statistics; Wireless","score_opus":0.00848289118816154,"score_gpt":0.19641220648431965,"score_spread":0.1879293152961581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129054888","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":[0.028711207,0.0000073340443,0.9689639,0.0000070864758,0.00019459121,0.0006102417,0.000005243549,0.00053512445,0.00096522167],"genre_scores_gemma":[0.9299154,0.000005200682,0.06987787,0.000008447611,0.000017276,0.000065967935,0.00001218083,0.000028312026,0.00006930277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931365,0.000019478142,0.00028946108,0.00008763719,0.00009662927,0.00019313955],"domain_scores_gemma":[0.99965864,0.000031171046,0.00003795725,0.00015630295,0.00006704962,0.000048855603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016085421,0.00014190638,0.00016280568,0.00016478756,0.000022811775,0.000023361115,0.00007276114,0.00007662737,0.000010463986],"category_scores_gemma":[0.000010127513,0.00011756888,0.000017588909,0.00022008788,0.000011721462,0.0008686401,0.0000031438817,0.00016202134,0.000071856266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004598034,0.0000060688285,0.000043087442,0.00014483597,0.000010335574,0.0000023506236,0.0013572327,0.9945679,0.0034123485,0.000107107066,0.000023470855,0.00027931712],"study_design_scores_gemma":[0.0013863818,0.00002289329,0.00012165847,0.00006863278,0.000004115468,0.000009114035,0.0002968038,0.99050486,0.0072880983,0.000003041535,0.000117205505,0.00017720995],"about_ca_topic_score_codex":0.000074196054,"about_ca_topic_score_gemma":0.0003282439,"teacher_disagreement_score":0.9012042,"about_ca_system_score_codex":0.000045752815,"about_ca_system_score_gemma":0.000013475539,"threshold_uncertainty_score":0.479432},"labels":[],"label_agreement":null},{"id":"W2129096781","doi":"10.1109/icc.2008.690","title":"Exact Sum-Rate Analysis of MIMO Broadcast Channels with Random Unitary Beamforming Based on Quantized SINR Feedback","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; MIMO; Unitary state; Computer science; Transmission (telecommunications); Interference (communication); Diversity gain; Signal-to-noise ratio (imaging); Precoding; Mathematics; Topology (electrical circuits); Algorithm; Mathematical optimization; Control theory (sociology); Telecommunications; Combinatorics","score_opus":0.013410428992521518,"score_gpt":0.21272827824529308,"score_spread":0.19931784925277157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129096781","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":[0.19927369,0.00007106186,0.79693794,0.000010091297,0.00012129544,0.00032140143,0.00001759588,0.0002741435,0.0029727686],"genre_scores_gemma":[0.98482287,0.00004631111,0.014555982,0.000032457152,0.000037597867,0.000018708051,0.00011786457,0.000055900822,0.00031229414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988494,0.00005305469,0.00041486102,0.00022536622,0.00018906278,0.00026824634],"domain_scores_gemma":[0.9990625,0.0002072806,0.00010294565,0.00037093714,0.00017371977,0.00008266386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018157296,0.00025097578,0.0006071158,0.00060939894,0.00007637703,0.000010946797,0.0001106975,0.00007935403,0.00011112075],"category_scores_gemma":[0.000052794698,0.00020688755,0.00013530704,0.0014963791,0.00004466577,0.00024351776,0.000009488306,0.000104409264,0.000011420279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002772239,0.00003306116,0.00078271015,0.000052368036,0.00039626771,0.0000095440155,0.00017099729,0.9964639,0.0016014428,0.000014591066,0.00006522906,0.00013269974],"study_design_scores_gemma":[0.0031445897,0.00009003641,0.00040434964,0.00007931986,0.00026270087,0.0000027362457,0.00013514097,0.9857638,0.00974601,0.0000015857546,0.0000987257,0.00027101132],"about_ca_topic_score_codex":0.0001440275,"about_ca_topic_score_gemma":0.00007277285,"teacher_disagreement_score":0.78554916,"about_ca_system_score_codex":0.00006508106,"about_ca_system_score_gemma":0.000023743794,"threshold_uncertainty_score":0.8436629},"labels":[],"label_agreement":null},{"id":"W2129114317","doi":"10.1109/ccece.2004.1345254","title":"Statistical analysis of a measured MIMO channel","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Channel (broadcasting); Channel capacity; Precoding; Computer science; Constraint (computer-aided design); Statistical analysis; Rayleigh scattering; Electronic engineering; Telecommunications; Algorithm; Mathematics; Statistics; Engineering; Physics; Optics; Geometry","score_opus":0.012349477302276793,"score_gpt":0.23056193117631651,"score_spread":0.21821245387403973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129114317","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":[0.0036024996,0.000052220526,0.99294657,0.000007115339,0.0000495952,0.000058756406,0.000018107989,0.00013314452,0.0031319906],"genre_scores_gemma":[0.95809054,0.0000059264944,0.041816253,0.0000046703553,0.000008694466,0.0000055125383,0.000020989986,0.000010634595,0.000036792684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959874,0.000004976561,0.0001607286,0.00006920772,0.000078060104,0.000088267734],"domain_scores_gemma":[0.99977964,0.00001579112,0.000015377485,0.00011400022,0.000041689527,0.00003352538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003825143,0.00005733223,0.00016480005,0.00014605881,0.000008021632,0.0000032940402,0.00003751858,0.000030254312,0.00005723321],"category_scores_gemma":[0.000026666119,0.000055107637,0.000034607212,0.0004810519,0.000010652948,0.000049183527,0.000004443456,0.000026442856,0.000009168563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014283211,0.000007655223,0.00006451391,0.000014726135,0.00021411087,8.3327546e-7,0.0001003429,0.99538046,0.0009830061,0.003084629,0.000029709972,0.00011859111],"study_design_scores_gemma":[0.00062959606,0.00002942738,0.0036203554,0.000020660813,0.0005346773,0.0000016600872,0.00015691534,0.9826383,0.010873902,0.0011839623,0.00006932778,0.00024123843],"about_ca_topic_score_codex":0.000037537848,"about_ca_topic_score_gemma":0.000097125405,"teacher_disagreement_score":0.95448804,"about_ca_system_score_codex":0.00004406492,"about_ca_system_score_gemma":0.0000057474467,"threshold_uncertainty_score":0.22472243},"labels":[],"label_agreement":null},{"id":"W2129447772","doi":"10.1109/icc.2006.255725","title":"Linear Processing for the Downlink in Multiuser MIMO Systems with Multiple Data Streams","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Precoding; MIMO; Computer science; Data stream mining; Transmitter; Transmitter power output; Duality (order theory); Optimization problem; Mathematical optimization; Power (physics); Real-time computing; Algorithm; Mathematics; Computer network; Telecommunications; Beamforming; Data mining","score_opus":0.09994237916741898,"score_gpt":0.33184745338756516,"score_spread":0.23190507422014617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129447772","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":[0.0021053092,0.00075517135,0.9825663,0.0013145878,0.00052717346,0.0014250729,0.00096716225,0.00029858432,0.010040636],"genre_scores_gemma":[0.9753341,0.00016647282,0.02243607,0.000021504182,0.00014069836,0.00040107436,0.0011043942,0.000036778638,0.000358879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905074,0.000035456505,0.00037086892,0.00020967203,0.00016589438,0.00016736706],"domain_scores_gemma":[0.99783397,0.00036475528,0.00011238451,0.0013598107,0.00030567654,0.000023408533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018357136,0.0001579623,0.00013846792,0.00011219591,0.00014858368,0.00011579867,0.0015957175,0.00006459057,0.0000065730037],"category_scores_gemma":[0.00004983852,0.00012349567,0.000019845163,0.00016858928,0.00007785519,0.00036083945,0.00008219186,0.0002170435,0.000014453754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021841659,0.000095828356,0.0012607459,0.000027929316,0.000029339675,4.6071136e-7,0.00008330841,0.9897685,0.00041169213,0.004370689,0.000768485,0.0031611468],"study_design_scores_gemma":[0.00059018633,0.000013033589,0.00033680454,0.0001991135,0.000010825147,0.00000335545,0.00022592625,0.9912955,0.000093000155,0.000071083334,0.0070111044,0.00015005979],"about_ca_topic_score_codex":0.0006579331,"about_ca_topic_score_gemma":0.005035481,"teacher_disagreement_score":0.9732288,"about_ca_system_score_codex":0.000118221564,"about_ca_system_score_gemma":0.000053440275,"threshold_uncertainty_score":0.5036007},"labels":[],"label_agreement":null},{"id":"W2129521351","doi":"10.1049/iet-com.2010.0015","title":"Transceiver design using linear precoding in a multiuser multiple-input multiple-output system with limited feedback","year":2010,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; MIMO; Computer science; Channel state information; Transmitter; Transceiver; Channel (broadcasting); Overhead (engineering); Data stream mining; Algorithm; Control theory (sociology); Telecommunications; Wireless; Artificial intelligence","score_opus":0.04716978642628267,"score_gpt":0.2577151425162582,"score_spread":0.21054535608997554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129521351","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":[0.091516994,0.00018220443,0.9050527,0.000055595992,0.00021951973,0.0012723964,0.000032247906,0.0008111733,0.00085713685],"genre_scores_gemma":[0.66297174,0.000034656936,0.33666876,0.0000074721174,0.0000329899,0.00013077793,0.000035379027,0.000082873536,0.000035365796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856126,0.00016541983,0.0005232624,0.0002576747,0.00013730297,0.0003550514],"domain_scores_gemma":[0.9972893,0.0006639601,0.000110837915,0.0016596661,0.00016985412,0.000106394815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002830719,0.00028510054,0.00031565037,0.00027054644,0.00022497856,0.00005145628,0.00069930195,0.0002043386,0.0000049530377],"category_scores_gemma":[0.00013104345,0.00029313684,0.00005951994,0.00058764784,0.000099219964,0.0004594238,0.00006374569,0.0006729626,0.000027258808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002789997,0.000068008594,0.004463089,0.0001002218,0.000043783828,0.0000024329925,0.0019656525,0.96115184,0.031453382,0.000068223024,0.000011676169,0.00064378284],"study_design_scores_gemma":[0.0014778789,0.000017106338,0.0011153851,0.0003616817,0.000029562232,0.000028337707,0.0004645464,0.9935714,0.0021560704,0.0000018513153,0.0004359289,0.0003402747],"about_ca_topic_score_codex":0.00013976094,"about_ca_topic_score_gemma":0.0023333216,"teacher_disagreement_score":0.5714547,"about_ca_system_score_codex":0.0002058755,"about_ca_system_score_gemma":0.000042623942,"threshold_uncertainty_score":0.9999521},"labels":[],"label_agreement":null},{"id":"W2129663505","doi":"10.1109/icc.2009.5198873","title":"Cross-Layer Design for MIMO Spatial Multiplexing in Correlated Ricean Fading","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Spatial multiplexing; Computer science; Fading; Multiplexing; Throughput; Physical layer; Transmission (telecommunications); Channel state information; Channel (broadcasting); Precoding; Electronic engineering; Channel capacity; Antenna (radio); Computer network; Telecommunications; Wireless; Engineering","score_opus":0.025726746519379208,"score_gpt":0.2719943730128685,"score_spread":0.2462676264934893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129663505","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":[0.013563383,0.000058456942,0.983611,0.000008883522,0.00028732888,0.0005776253,0.000002713357,0.00044279255,0.0014478089],"genre_scores_gemma":[0.89480674,0.0000043060795,0.10477665,0.000021143383,0.000059931084,0.000021977297,0.000013580324,0.00003162537,0.00026407294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991966,0.000013572069,0.00029726402,0.00016408603,0.000056216068,0.0002723017],"domain_scores_gemma":[0.999661,0.00010429178,0.000032103333,0.00011917214,0.000041039097,0.000042350923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014835516,0.00013853976,0.00015611674,0.00012110292,0.000046929465,0.00003760729,0.00007653238,0.00010531786,0.000027140111],"category_scores_gemma":[0.00007939895,0.00014688486,0.000033084172,0.00018012236,0.000006816468,0.00026400306,0.000005571215,0.000093030016,0.000014389706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018772784,0.0000093764,0.0005195936,0.0000137646475,0.0000051980182,0.0000021607868,0.00022991563,0.9828163,0.012678797,0.00007470971,0.0000687376,0.0035627084],"study_design_scores_gemma":[0.00096186675,0.000033026212,0.0010178243,0.00003811805,0.0000030852536,0.000002569304,0.000031692398,0.9845692,0.012959325,0.00011824663,0.00008112043,0.00018396281],"about_ca_topic_score_codex":0.000031899366,"about_ca_topic_score_gemma":0.000030753486,"teacher_disagreement_score":0.88124335,"about_ca_system_score_codex":0.00012984454,"about_ca_system_score_gemma":0.0000067599635,"threshold_uncertainty_score":0.5989791},"labels":[],"label_agreement":null},{"id":"W2130137697","doi":"10.1109/tvt.2007.909277","title":"A Novel Nonlinear Joint Transmitter-Receiver Processing Algorithm for the Downlink of Multiuser MIMO Systems","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Precoding; Algorithm; Telecommunications link; Transmitter; Computer science; Multi-user MIMO; Multiuser detection; Channel (broadcasting); Electronic engineering; Engineering; Telecommunications; Code division multiple access","score_opus":0.016871414866996084,"score_gpt":0.2212129994799861,"score_spread":0.20434158461299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130137697","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056049577,0.0007796565,0.9911123,0.00014160159,0.00046763703,0.0010900627,0.00011991055,0.0006693073,0.000014563404],"genre_scores_gemma":[0.8595957,0.0002078719,0.13937849,0.0000174771,0.000048194877,0.000568837,0.000006774994,0.000089422974,0.0000871973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998788,0.000013006626,0.000480271,0.00027047074,0.00014857865,0.000299673],"domain_scores_gemma":[0.99920726,0.00006346104,0.000092877235,0.00040028847,0.00019948553,0.000036629142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010116722,0.0002473097,0.0003598739,0.00035687766,0.00023335624,0.000009906827,0.00022035469,0.00035823317,0.000004397209],"category_scores_gemma":[0.000005053195,0.00020407219,0.00015138756,0.0005489714,0.00018118168,0.00013253374,9.754449e-7,0.00036025423,0.0000074916375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008262815,0.00010429407,0.0000012155133,0.00014107925,0.000110651046,0.0000037437292,0.00018636254,0.90385395,0.04971075,0.000011052315,0.000013196071,0.045855436],"study_design_scores_gemma":[0.00092283456,0.00007526313,0.0000039233714,0.0001105682,0.000069205154,0.00015961895,0.00017589644,0.8616401,0.13535973,0.0000060741613,0.0012802215,0.00019655826],"about_ca_topic_score_codex":0.000019507503,"about_ca_topic_score_gemma":0.000012026611,"teacher_disagreement_score":0.8539908,"about_ca_system_score_codex":0.00008691383,"about_ca_system_score_gemma":0.000031017855,"threshold_uncertainty_score":0.8321822},"labels":[],"label_agreement":null},{"id":"W2130265042","doi":"10.1109/icc.2014.6883560","title":"Generalized spectral footprint minimization for OFDMA-based cognitive radio networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Orthogonal frequency-division multiple access; Mathematical optimization; Computer science; Cognitive radio; Resource allocation; Telecommunications link; Integer programming; Convex optimization; Minification; Transmitter power output; Orthogonal frequency-division multiplexing; Transmitter; Algorithm; Computer network; Mathematics; Telecommunications; Wireless; Regular polygon","score_opus":0.009551942917500509,"score_gpt":0.22085157220195967,"score_spread":0.21129962928445917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130265042","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":[0.004979522,0.000089820845,0.99169296,0.000033475757,0.00041512056,0.00059988117,0.0000059298754,0.0005156771,0.0016676149],"genre_scores_gemma":[0.8909971,0.000018370005,0.10786478,0.000068545734,0.00035250024,0.00022769903,0.0001194879,0.000066969005,0.00028455866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928343,0.000026415435,0.00022788325,0.00017175091,0.000059422393,0.00023112202],"domain_scores_gemma":[0.999567,0.00012336498,0.00004240773,0.00011641332,0.00009039512,0.000060420978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009107588,0.0001500701,0.0001822838,0.000065365,0.00004688903,0.000025758425,0.00006071835,0.000087921355,0.000047644142],"category_scores_gemma":[0.000055246524,0.00015249591,0.00006260477,0.00012144724,0.00001438766,0.00006387319,0.0000057031175,0.000052820837,0.000004095364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002456282,0.00000904336,0.00013211701,0.00003404835,0.000021671758,1.241643e-7,0.000023639348,0.9933161,0.00047203907,0.0018675366,0.00030737167,0.0037917302],"study_design_scores_gemma":[0.0014928747,0.000035494137,0.00011697971,0.00003407789,0.000025510011,6.797947e-7,0.000012330809,0.9866024,0.010646844,0.00010783779,0.0007269881,0.00019796005],"about_ca_topic_score_codex":0.000005222926,"about_ca_topic_score_gemma":0.000019383011,"teacher_disagreement_score":0.88601756,"about_ca_system_score_codex":0.000059352707,"about_ca_system_score_gemma":0.000008099352,"threshold_uncertainty_score":0.6218602},"labels":[],"label_agreement":null},{"id":"W2130302745","doi":"10.1016/j.sigpro.2012.11.012","title":"Outage-based design of robust Tomlinson–Harashima transceivers for the MISO downlink with QoS requirements","year":2013,"lang":"en","type":"article","venue":"Signal Processing","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":"McMaster University; University of British Columbia","funders":"","keywords":"Telecommunications link; Probabilistic logic; Quality of service; Computer science; Transceiver; Mathematical optimization; Transmitter; Channel (broadcasting); Channel state information; Computer network; Mathematics; Wireless; Telecommunications","score_opus":0.03183494789118279,"score_gpt":0.23033139524182,"score_spread":0.1984964473506372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130302745","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":[0.001367598,0.0004408509,0.9966757,0.00005881653,0.000057855344,0.0011028469,0.000007295956,0.00014503044,0.00014397131],"genre_scores_gemma":[0.9049115,0.000004726463,0.09469392,0.00003082632,0.00006923077,0.00018782528,0.000008897445,0.00005233368,0.000040738105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991249,0.000020172152,0.00027363855,0.0001715512,0.00016437855,0.0002453675],"domain_scores_gemma":[0.99940896,0.000116857096,0.00010342009,0.00013193292,0.00019352791,0.00004531127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015779967,0.00017298477,0.0001800593,0.00006104956,0.00012819015,0.000056469915,0.00016853157,0.000062056526,0.000038031783],"category_scores_gemma":[0.000011981559,0.0001235055,0.00004031941,0.00019148395,0.00005721644,0.00040777333,0.0000026417922,0.00008811181,0.000004457132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043532687,0.000013227685,0.00005424663,0.00038238105,0.00002861538,4.2225665e-7,0.00027022365,0.95622516,0.03043034,0.0000026817484,0.00009401562,0.012455154],"study_design_scores_gemma":[0.0009449841,0.00009039671,0.000035068424,0.00029295552,0.00005206737,0.000001135011,0.0002634019,0.9637584,0.034291077,0.000034007047,0.00005659308,0.0001799237],"about_ca_topic_score_codex":0.000008029426,"about_ca_topic_score_gemma":0.00000229354,"teacher_disagreement_score":0.9035439,"about_ca_system_score_codex":0.000060500057,"about_ca_system_score_gemma":0.00006098804,"threshold_uncertainty_score":0.5036408},"labels":[],"label_agreement":null},{"id":"W2130785056","doi":"10.1109/glocom.2009.5425423","title":"Joint Power Control and Beamforming Codebook Design for MISO Channels with Limited Feedback","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Codebook; Beamforming; Power control; Computer science; Transmitter power output; Power (physics); Control theory (sociology); Channel state information; Wireless; Channel (broadcasting); Electronic engineering; Telecommunications; Algorithm; Control (management); Engineering; Artificial intelligence; Transmitter","score_opus":0.0129962157514937,"score_gpt":0.2003467412264754,"score_spread":0.18735052547498168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130785056","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":[0.0011297477,0.00016084593,0.99559057,0.00007679015,0.00006442146,0.00095663575,0.0000033448869,0.00031224077,0.0017054232],"genre_scores_gemma":[0.8388215,0.000009701852,0.16032651,0.00015285995,0.000036094916,0.00003427134,0.0000045110005,0.000034158365,0.00058042194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994106,0.0000073017777,0.00017230399,0.00013783376,0.000054102748,0.0002178185],"domain_scores_gemma":[0.9996792,0.00005215193,0.000030375399,0.00011138379,0.000060787246,0.00006606625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008559031,0.00014709179,0.00019249272,0.00006177408,0.000047747744,0.000031902935,0.00003543564,0.000058332855,0.000007912893],"category_scores_gemma":[0.000017179138,0.0001203452,0.000020144287,0.000059717215,0.000011435884,0.00019007362,0.0000026366815,0.000045135035,0.0000033627257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006856518,0.000009601958,0.0000044180897,0.000028933631,0.00003196306,0.000001307097,0.00030613464,0.9866374,0.0106761595,0.00034545446,0.0005384086,0.001351648],"study_design_scores_gemma":[0.002543645,0.00041228626,0.00003231618,0.0000844487,0.000024045312,0.000024633064,0.00015123475,0.98294526,0.012518899,0.0002796952,0.0006775312,0.0003060125],"about_ca_topic_score_codex":0.0000010706729,"about_ca_topic_score_gemma":0.0000012984591,"teacher_disagreement_score":0.8376917,"about_ca_system_score_codex":0.000037041154,"about_ca_system_score_gemma":0.0000066503635,"threshold_uncertainty_score":0.49075347},"labels":[],"label_agreement":null},{"id":"W2130840021","doi":"10.1109/aps.2008.4619449","title":"MIMO link-level simulations for an urban microcell environment by an EM-based model","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Microcell; MIMO; Computer science; Link level; Link (geometry); Channel (broadcasting); 3G MIMO; Communication link; System-level simulation; Electronic engineering; Simulation; Telecommunications; Computer network; Engineering","score_opus":0.03314490020163442,"score_gpt":0.22796289886748725,"score_spread":0.1948179986658528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130840021","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":[0.025416855,0.00006656765,0.97327137,0.000012657011,0.00003945508,0.0004313903,0.00020587625,0.00029960988,0.00025624188],"genre_scores_gemma":[0.7752277,0.0000067736923,0.22288941,0.000052477768,0.000051140425,0.000040170085,0.00047502114,0.00006263897,0.0011946758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926424,0.000008636897,0.00022958308,0.00021496891,0.00007700281,0.00020554998],"domain_scores_gemma":[0.99951935,0.000025555313,0.000028841467,0.00029048297,0.000025089428,0.00011067944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032350865,0.00015969812,0.00012929147,0.000053448348,0.00010929409,0.00001259694,0.00009696176,0.000095597155,0.000032272048],"category_scores_gemma":[0.0000042972383,0.00017569469,0.000035464844,0.00004796345,0.000015505542,0.00028411025,0.000006109185,0.000055330234,0.000013663372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004458949,0.000047952668,0.000057095785,0.000016302376,0.0000056396766,1.6336257e-7,0.0002474117,0.963819,0.034093335,0.00002067685,0.001525693,0.00016223377],"study_design_scores_gemma":[0.0005287506,0.00005035355,0.0000115285075,0.000003701883,0.000008238454,7.9557816e-7,0.000029297711,0.98051614,0.017268378,0.00004308546,0.0013194548,0.00022026262],"about_ca_topic_score_codex":0.000005326324,"about_ca_topic_score_gemma":0.000025905936,"teacher_disagreement_score":0.75038195,"about_ca_system_score_codex":0.00009358163,"about_ca_system_score_gemma":0.000013891797,"threshold_uncertainty_score":0.7164622},"labels":[],"label_agreement":null},{"id":"W2131147870","doi":"10.1109/glocom.2008.ecp.845","title":"Interference Reduction by Beamforming in Cognitive Networks","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Army Research Office; Multidisciplinary University Research Initiative","keywords":"Beamforming; Cognitive radio; Interference (communication); Transmitter; Computer science; Topology (electrical circuits); Algorithm; Mathematics; Telecommunications; Combinatorics; Wireless; Channel (broadcasting)","score_opus":0.012860847938494851,"score_gpt":0.22063591981408026,"score_spread":0.20777507187558542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131147870","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":[0.04441507,0.00018787816,0.94728684,0.0000030583547,0.00019281781,0.00010894735,8.745479e-7,0.0001861497,0.007618384],"genre_scores_gemma":[0.9967453,0.00015130943,0.002561304,0.0000053335075,0.000037651225,0.000018541863,0.000017056556,0.000014020299,0.0004495171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996258,0.0000058727783,0.00013518847,0.00008532934,0.000028797018,0.00011900975],"domain_scores_gemma":[0.99988526,0.0000142651415,0.000013396291,0.000046480018,0.000019374658,0.000021205653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028322878,0.00006739625,0.000073888434,0.000047658763,0.00002206572,0.0000039860233,0.000030009845,0.00004464595,0.000026474043],"category_scores_gemma":[0.000010297913,0.000071843424,0.000009407433,0.0001473896,0.000014542,0.00023763785,0.000007403765,0.00008909251,0.00000840208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005157564,0.000007559931,0.000347513,0.000006495445,0.0000049212194,0.0000020040004,0.00040798547,0.99263775,0.0015448872,0.000023333536,0.0008990169,0.004113379],"study_design_scores_gemma":[0.0003474858,0.000021195714,0.000097990625,0.000108666296,0.0000024657713,0.00006382171,0.00054293673,0.99001056,0.008476274,0.000023990722,0.00010712889,0.00019749148],"about_ca_topic_score_codex":0.000017942564,"about_ca_topic_score_gemma":0.000010501358,"teacher_disagreement_score":0.9523302,"about_ca_system_score_codex":0.00005961374,"about_ca_system_score_gemma":0.0000028852126,"threshold_uncertainty_score":0.29296896},"labels":[],"label_agreement":null},{"id":"W2131350052","doi":"10.1109/twc.2010.05.090936","title":"Coordinated beamforming for the multicell multi-antenna wireless system","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":776,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Base station; Telecommunications link; Computer science; Antenna array; Duplex (building); Wireless; Antenna (radio); Electronic engineering; WSDMA; Telecommunications; Precoding; MIMO; Engineering","score_opus":0.022889245552924438,"score_gpt":0.2593318847449471,"score_spread":0.23644263919202269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131350052","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":[0.0044554775,0.00011550252,0.9907956,0.00016399431,0.0017359352,0.001373888,0.000157029,0.0010680885,0.00013447767],"genre_scores_gemma":[0.9473678,0.0002116698,0.050558113,0.00002019551,0.00004030755,0.0014097863,0.000028486047,0.00011647181,0.00024721233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987313,0.00005839518,0.0005088014,0.00023444244,0.00012114025,0.00034590304],"domain_scores_gemma":[0.9965189,0.000892839,0.00011172932,0.0021205007,0.00025623452,0.00009979556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026525397,0.00028223934,0.00027074275,0.00016732737,0.0011226069,0.0000759361,0.0010600333,0.0001921954,0.000008512535],"category_scores_gemma":[0.0000099473755,0.0002508878,0.00016137796,0.00043664657,0.00017651591,0.00028324904,0.0000060818393,0.0007633512,0.000042998352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022965372,0.00023438148,0.000006909613,0.00019961355,0.00018940099,5.178896e-7,0.00078633026,0.853773,0.121988215,0.0023454293,0.000045213827,0.020408018],"study_design_scores_gemma":[0.000762144,0.000016784901,0.000005686315,0.00010271637,0.000095883304,0.000009572881,0.00082185824,0.9802967,0.016484987,0.0000037495752,0.0011251882,0.00027474135],"about_ca_topic_score_codex":0.00007641574,"about_ca_topic_score_gemma":0.0010117614,"teacher_disagreement_score":0.9429123,"about_ca_system_score_codex":0.00014588835,"about_ca_system_score_gemma":0.000031968182,"threshold_uncertainty_score":0.99999434},"labels":[],"label_agreement":null},{"id":"W2131397927","doi":"10.1109/iswcs.2009.5285275","title":"Quasi-convex designs of max-min linear BC precoding with outage QoS constraints","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quality of service; Precoding; Computer science; Channel state information; Transmitter; Mathematical optimization; Convex optimization; Quantization (signal processing); Channel (broadcasting); MIMO; Base station; Transmitter power output; Optimization problem; Control theory (sociology); Computer network; Wireless; Mathematics; Regular polygon; Telecommunications; Algorithm","score_opus":0.01895785941110362,"score_gpt":0.23419758557524356,"score_spread":0.21523972616413994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131397927","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":[0.0077027916,0.00006571272,0.9754588,0.000018278948,0.00009829907,0.00028755274,0.0000051202123,0.0003109358,0.016052514],"genre_scores_gemma":[0.8770074,0.00001127111,0.12246067,0.000021483267,0.00004867039,0.0000058680257,0.000006330505,0.000024229948,0.00041405193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993109,0.000013642498,0.00026089294,0.00013541701,0.00009186766,0.00018728983],"domain_scores_gemma":[0.9996258,0.000036414684,0.000051728908,0.00017852694,0.000051285217,0.000056262626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008527123,0.00014037841,0.00021530538,0.00007608526,0.000020865824,0.000009560931,0.00008068115,0.00006815549,0.0001356535],"category_scores_gemma":[0.000020267345,0.00012476815,0.000027099552,0.00013669388,0.00003621498,0.00017546867,0.0000051731017,0.00008172313,0.000024469655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029691726,0.00009842934,0.00089373963,0.00018106439,0.000091810376,0.000015889353,0.0009309867,0.94633096,0.031541765,0.0027157103,0.00022286721,0.016947068],"study_design_scores_gemma":[0.0022188006,0.0008008602,0.00051127607,0.00048175067,0.00008467101,0.000049212882,0.00098072,0.7461524,0.24695225,0.00021869256,0.0006008857,0.0009484489],"about_ca_topic_score_codex":0.0000062664935,"about_ca_topic_score_gemma":0.000009382351,"teacher_disagreement_score":0.86930466,"about_ca_system_score_codex":0.00003927745,"about_ca_system_score_gemma":0.000014616917,"threshold_uncertainty_score":0.5087898},"labels":[],"label_agreement":null},{"id":"W2131404560","doi":"10.4236/ijcns.2010.34043","title":"User Selection and Precoding Schemes Based on Partial Channel Information for Broadcast MIMO Systems","year":2010,"lang":"en","type":"article","venue":"International Journal of Communications Network and System Sciences","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; MIMO; Zero-forcing precoding; Computer science; Channel (broadcasting); Transmitter; Multi-user MIMO; Computer network; Selection (genetic algorithm); Ergodic theory; Channel state information; Channel capacity; Base station; Limit (mathematics); Wireless; Telecommunications; Mathematics; Artificial intelligence","score_opus":0.017683224400369055,"score_gpt":0.2696997994614554,"score_spread":0.2520165750610863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131404560","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":[0.04362852,0.0010224247,0.9484501,0.0004250131,0.0039843135,0.0004935057,0.000018563032,0.000094330295,0.0018832287],"genre_scores_gemma":[0.9813799,0.00012613153,0.018083332,0.000015426907,0.00034511706,0.000030214209,0.0000068776317,0.0000065629624,0.000006403762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911445,0.00004286551,0.00046185157,0.0000642096,0.00020558343,0.00011105184],"domain_scores_gemma":[0.99890065,0.0002403276,0.00029218206,0.00012728976,0.00038812653,0.00005140594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084486336,0.000088210116,0.00013652454,0.00020510341,0.00026470723,0.00026556215,0.00037238526,0.000055959234,9.769791e-7],"category_scores_gemma":[0.000064389096,0.00007702611,0.000031030704,0.00015093514,0.000070489805,0.0008347382,0.000030790354,0.00014294063,7.800557e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023469054,0.000010667856,0.0010648494,0.000053635056,0.0000353655,1.270465e-7,0.00017804702,0.9758802,0.00018736307,0.01760274,0.00025365115,0.0047099027],"study_design_scores_gemma":[0.00032102634,0.000059751597,0.00013149793,0.00027072674,0.000010616721,0.00006954294,0.0003405111,0.986826,0.00007804655,0.00004606191,0.011767036,0.00007918023],"about_ca_topic_score_codex":0.000005906363,"about_ca_topic_score_gemma":0.000011256552,"teacher_disagreement_score":0.9377514,"about_ca_system_score_codex":0.00004602705,"about_ca_system_score_gemma":0.00003533917,"threshold_uncertainty_score":0.31410336},"labels":[],"label_agreement":null},{"id":"W2131478453","doi":"10.1109/glocom.2008.ecp.739","title":"User Selection for Multiple-Antenna Broadcast Channel with Zero-Forcing Beamforming","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Beamforming; Computer science; Dirty paper coding; Telecommunications link; Base station; Precoding; Scheduling (production processes); Selection (genetic algorithm); Computer network; Selection algorithm; MIMO; Mathematical optimization; Telecommunications; Mathematics","score_opus":0.013985220234800892,"score_gpt":0.20433317270531878,"score_spread":0.1903479524705179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131478453","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":[0.023050712,0.00004822416,0.9749246,0.0000061452724,0.00016253236,0.0005106371,0.00000352578,0.00066177495,0.00063184765],"genre_scores_gemma":[0.87850755,0.000022218415,0.11972848,0.000016253978,0.0001051382,0.00010989203,0.000017897577,0.00007546732,0.0014171206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992635,0.0000041011917,0.00019518813,0.00016976045,0.000080465834,0.00028696054],"domain_scores_gemma":[0.99966115,0.000043223452,0.000037547823,0.000107941356,0.000096477794,0.000053660435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049191265,0.0001626621,0.00015969912,0.000102832055,0.00016633561,0.000013187475,0.00005386748,0.00006620301,0.0000064003116],"category_scores_gemma":[0.000023808387,0.00014383362,0.00003581114,0.00020753779,0.00001401254,0.00045819924,0.000008090692,0.000074347896,0.000008559369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025836876,0.000008071969,0.0013904616,0.00006753963,0.00002812493,9.392195e-7,0.00036541984,0.9875778,0.0097484505,0.00005903833,0.00022577505,0.0005025678],"study_design_scores_gemma":[0.0007877008,0.00006276366,0.00007714705,0.000050738723,0.000009702951,0.00011248898,0.00013304093,0.9831461,0.0142730605,0.000011001033,0.0010999427,0.00023635043],"about_ca_topic_score_codex":0.00003737313,"about_ca_topic_score_gemma":0.00007685016,"teacher_disagreement_score":0.8554568,"about_ca_system_score_codex":0.00009895778,"about_ca_system_score_gemma":0.000010621219,"threshold_uncertainty_score":0.58653647},"labels":[],"label_agreement":null},{"id":"W2131697756","doi":"10.1109/mwc.2015.7224723","title":"Dynamic radio coordination for improved quality of experience in software-defined wireless networks","year":2015,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Power control; Software-defined radio; Cluster analysis; Radio resource management; Computer network; Context (archaeology); Wireless; Cognitive radio; Interference (communication); Benchmark (surveying); Wireless network; Quality of experience; Remote radio head; Quality of service; Bootstrapping (finance); Channel (broadcasting); Power (physics); Telecommunications; Artificial intelligence","score_opus":0.04860049760729436,"score_gpt":0.3191162633009573,"score_spread":0.270515765693663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131697756","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":[0.12720397,0.0005404508,0.870837,0.0000753395,0.00029707496,0.0006776321,0.000033416938,0.0002506319,0.00008449268],"genre_scores_gemma":[0.94997627,0.0001717518,0.049003553,0.000008845379,0.000013993085,0.0005892469,0.00014458154,0.00005013721,0.00004161009],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868315,0.00012232362,0.00069754437,0.00017424629,0.00009206775,0.00023066587],"domain_scores_gemma":[0.9977627,0.00041858703,0.00020623957,0.0012466877,0.0002906451,0.00007514518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042366388,0.00016615429,0.0003518689,0.00013356855,0.00007640676,0.000018854416,0.0006640561,0.00013727599,8.752741e-7],"category_scores_gemma":[0.00015100958,0.00019905341,0.0000576881,0.0004649524,0.00012080679,0.00031954813,0.00006214833,0.00017371884,0.0000013145844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037463575,0.000121656936,0.0013062723,0.00010180226,0.000026397323,9.917533e-8,0.0022715866,0.96681434,0.016143084,0.002003064,0.00008981833,0.011084392],"study_design_scores_gemma":[0.00094333023,0.000020610374,0.0005387462,0.000068852096,0.000006793051,0.000001040349,0.00046571577,0.9966166,0.0007955201,0.0002348555,0.00009985616,0.00020809768],"about_ca_topic_score_codex":0.00012583513,"about_ca_topic_score_gemma":0.0007937291,"teacher_disagreement_score":0.8227723,"about_ca_system_score_codex":0.00031406817,"about_ca_system_score_gemma":0.00004970935,"threshold_uncertainty_score":0.81171626},"labels":[],"label_agreement":null},{"id":"W2132202990","doi":"10.1109/icc.2009.5199137","title":"Linear Precoding for Multiuser MIMO Systems with Multiple Base Stations","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Blackberry (Canada)","funders":"","keywords":"Telecommunications link; Precoding; MIMO; Asynchronous communication; Base station; Computer science; Zero-forcing precoding; Duality (order theory); Interference (communication); Electronic engineering; Algorithm; Computer network; Mathematics; Engineering; Channel (broadcasting)","score_opus":0.015307533688231966,"score_gpt":0.2346826490958602,"score_spread":0.21937511540762825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132202990","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":[0.003988235,0.00008174859,0.9930279,0.000024053585,0.00017849113,0.0008749455,0.00003211783,0.0006328629,0.0011596207],"genre_scores_gemma":[0.7638961,0.000006185665,0.23505042,0.000015286754,0.00008091836,0.000105658,0.00004551341,0.000033910725,0.00076596206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938345,0.0000083662835,0.00020545813,0.00014428637,0.000064067244,0.00019434994],"domain_scores_gemma":[0.999539,0.00009910435,0.00003181791,0.0001694501,0.00010036344,0.000060221126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006293832,0.00012645441,0.00013589009,0.00007148839,0.00006511563,0.000028825678,0.000055517736,0.0000471501,0.0000074439895],"category_scores_gemma":[0.00004431488,0.00010926205,0.00002389641,0.00012326046,0.0000057055236,0.00027140466,0.0000027668818,0.000048340975,0.000012146975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010087646,0.00001314026,0.00019508705,0.000063600935,0.000013357251,6.035733e-7,0.00013557416,0.9964656,0.0018941449,0.00024255595,0.0004722659,0.00049396965],"study_design_scores_gemma":[0.000762112,0.000055866938,0.00007904826,0.000055503402,0.000010541401,0.0000033242711,0.00020005325,0.99487215,0.0024943731,0.000008806877,0.0012917185,0.00016648821],"about_ca_topic_score_codex":0.000015437197,"about_ca_topic_score_gemma":0.000051889783,"teacher_disagreement_score":0.7599079,"about_ca_system_score_codex":0.00005968497,"about_ca_system_score_gemma":0.00000862313,"threshold_uncertainty_score":0.4455577},"labels":[],"label_agreement":null},{"id":"W2132308005","doi":"10.1109/ursigass.2011.6123716","title":"Distributed MIMO interference alignment in practical wireless systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Interference alignment; Computer science; Multi-user MIMO; Interference (communication); Channel (broadcasting); 3G MIMO; Wireless; Electronic engineering; Telecommunications; Engineering","score_opus":0.029379739076888105,"score_gpt":0.24584090295938332,"score_spread":0.21646116388249523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132308005","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":[0.011033343,0.000046607765,0.9788034,0.000010089276,0.00035465643,0.00023333507,0.0000073678857,0.00026619076,0.009245017],"genre_scores_gemma":[0.9946214,0.000017025173,0.005175244,0.0000040825985,0.000018723622,0.00005689974,0.000014127333,0.00001921561,0.000073274074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999318,0.000025223744,0.00027512884,0.00012970837,0.00006615631,0.00018575338],"domain_scores_gemma":[0.99969363,0.000029161054,0.000026691021,0.00017067596,0.00002565008,0.000054194934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008599929,0.00010790591,0.00014237728,0.000051264073,0.0000101548,0.00001542378,0.000073548814,0.00006439009,0.000051907402],"category_scores_gemma":[0.00001937413,0.000101366066,0.000014030899,0.00013591997,0.000012589713,0.0002069226,0.000022027096,0.000090224734,0.000059469246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013262416,0.0006172934,0.012708902,0.0010267794,0.00021041957,0.00029172743,0.004970574,0.7577417,0.018279215,0.1948595,0.005365567,0.003795727],"study_design_scores_gemma":[0.000441777,0.000059831455,0.0006979005,0.00022417039,0.000011056623,0.000044969813,0.001676438,0.98235387,0.013439,0.00022198698,0.0003953198,0.00043367397],"about_ca_topic_score_codex":0.00009627864,"about_ca_topic_score_gemma":0.000045783738,"teacher_disagreement_score":0.98358804,"about_ca_system_score_codex":0.00014210092,"about_ca_system_score_gemma":0.000007803084,"threshold_uncertainty_score":0.4133588},"labels":[],"label_agreement":null},{"id":"W2132334733","doi":"10.1109/glocom.2006.618","title":"WLC01-4: MIMO Precoder Design Based on Spatial and Path Correlation Information for Frequency-Selective Channels","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Spatial correlation; Fading; Precoding; Channel (broadcasting); Path (computing); Uncorrelated; Channel capacity; Algorithm; Computer science; Correlation; Mathematics; Path loss; Topology (electrical circuits); Control theory (sociology); Electronic engineering; Telecommunications; Statistics; Engineering; Wireless; Computer network; Artificial intelligence; Geometry","score_opus":0.006626735969828236,"score_gpt":0.19207043379357563,"score_spread":0.1854436978237474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132334733","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":[0.0010357095,0.000042278964,0.9953486,0.00001937574,0.00045895664,0.0008899084,0.000041938158,0.00022592551,0.0019373284],"genre_scores_gemma":[0.9456861,0.000003120594,0.05369418,0.000033930253,0.00012505939,0.00016385202,0.00023772576,0.000023195978,0.000032827316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937576,0.000023011824,0.00023708226,0.00011265128,0.000081877,0.00016960352],"domain_scores_gemma":[0.99961424,0.00009506606,0.00007181058,0.000101958714,0.00008720513,0.000029735158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010668984,0.00013931129,0.000121670724,0.000100519195,0.00007330764,0.000042872878,0.000039651637,0.0001024237,0.000010091484],"category_scores_gemma":[0.00004540114,0.00014948339,0.000024722178,0.000105193394,0.000009568355,0.00048318508,0.0000039460624,0.00006355687,0.000015399703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024582483,0.00000909996,0.0003139549,0.00004035654,0.000005298168,1.4436667e-7,0.000089745605,0.99436253,0.00012177755,0.00024164015,0.0013282278,0.0034626327],"study_design_scores_gemma":[0.00070656347,0.000096537915,0.00094852434,0.00003700908,0.000010455423,0.000001260026,0.000011638918,0.99478,0.0014542075,0.0013804198,0.00040892354,0.00016446764],"about_ca_topic_score_codex":0.00010263878,"about_ca_topic_score_gemma":0.00003421182,"teacher_disagreement_score":0.9446504,"about_ca_system_score_codex":0.00014734594,"about_ca_system_score_gemma":0.000018411509,"threshold_uncertainty_score":0.60957557},"labels":[],"label_agreement":null},{"id":"W2132736225","doi":"10.1109/isit.2009.5205845","title":"Infinite-layer codes for single-user slowly fading MIMO channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Government of Canada; Australian Government","keywords":"MIMO; Fading; Rayleigh fading; Decoding methods; Computer science; Channel state information; Algorithm; Coding (social sciences); Channel (broadcasting); Precoding; Physical layer; Electronic engineering; Telecommunications; Wireless; Mathematics; Engineering; Statistics","score_opus":0.023792836653635567,"score_gpt":0.24653616110300033,"score_spread":0.22274332444936476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132736225","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":[0.004981203,0.000114969676,0.9715689,0.00006604593,0.00044948957,0.00038848474,0.0000063161897,0.00074632815,0.021678295],"genre_scores_gemma":[0.93147016,0.00000962841,0.06642323,0.00012108661,0.00019922726,0.000030456695,0.0000177513,0.000040489147,0.0016879612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992825,0.000006240653,0.00022709135,0.0001504211,0.00006480429,0.00026898683],"domain_scores_gemma":[0.99963325,0.00005793397,0.000027989336,0.00016051688,0.000063040105,0.000057294277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007097909,0.0001540111,0.00017259235,0.00009906016,0.000051323543,0.000045221357,0.000086536806,0.00008679472,0.00003287974],"category_scores_gemma":[0.000038989074,0.00015385305,0.000051457562,0.00014924856,0.0000069079147,0.0002928526,0.0000068279187,0.00005535433,0.000025320514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008073376,0.000020554997,0.000028851942,0.000050173894,0.000019463865,0.0000012382019,0.00027763756,0.8965151,0.09438543,0.0038228633,0.002873979,0.0019966322],"study_design_scores_gemma":[0.0013284716,0.00022346652,0.000040817104,0.00014853154,0.000030832736,0.000016950675,0.00019648399,0.76454395,0.19487941,0.00163578,0.03613809,0.0008172405],"about_ca_topic_score_codex":0.000001664642,"about_ca_topic_score_gemma":0.000003303768,"teacher_disagreement_score":0.926489,"about_ca_system_score_codex":0.00006559317,"about_ca_system_score_gemma":0.000004207022,"threshold_uncertainty_score":0.62739456},"labels":[],"label_agreement":null},{"id":"W2133022210","doi":"","title":"Characteristics of urban vehicular MIMO channels at different frequencies","year":2009,"lang":"en","type":"article","venue":"European Conference on Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Ultra high frequency; Multipath propagation; Channel (broadcasting); Degradation (telecommunications); Precoding; Computer science; Electronic engineering; Telecommunications; Engineering","score_opus":0.0182770583258733,"score_gpt":0.20924737399991825,"score_spread":0.19097031567404493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133022210","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":[0.91043323,0.00023141893,0.078536846,0.00013836099,0.00030795074,0.00036438307,0.000021398771,0.00022365383,0.0097427685],"genre_scores_gemma":[0.9989783,0.00035140285,0.00018391732,0.0000377492,0.000078933306,0.0000026266912,0.00005034608,0.000020989744,0.0002956981],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992855,0.000059735194,0.00026340253,0.00015722668,0.00009921869,0.00013488276],"domain_scores_gemma":[0.9995956,0.000010839709,0.00009386076,0.00015352103,0.00009215511,0.000054018856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087095344,0.00015518008,0.00018184759,0.00006585356,0.000054133034,0.000034536573,0.000070877235,0.0000318054,0.000018677702],"category_scores_gemma":[0.000025408704,0.00013310985,0.000025198562,0.00006259003,0.00003360554,0.00010192182,0.000013486289,0.000080366735,0.000017736545],"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":[0.00011013458,0.00012629926,0.0027926674,0.00042475382,0.000051980016,0.000045375647,0.00348451,0.0046179495,0.8978173,0.021157648,0.00037764836,0.0689937],"study_design_scores_gemma":[0.0020285212,0.0018248042,0.1990861,0.0020884387,0.00008901499,0.000050446844,0.0003534997,0.6477451,0.14212713,0.0010136013,0.0019594254,0.001633943],"about_ca_topic_score_codex":8.077476e-7,"about_ca_topic_score_gemma":7.791931e-7,"teacher_disagreement_score":0.7556902,"about_ca_system_score_codex":0.000031490927,"about_ca_system_score_gemma":0.00000347371,"threshold_uncertainty_score":0.5428062},"labels":[],"label_agreement":null},{"id":"W2133705997","doi":"10.1109/ciss.2014.6814097","title":"Joint spectrum partition and user association in multi-tier heterogeneous networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Partition (number theory); Base station; Maximization; Mathematical optimization; Utility maximization problem; Disjoint sets; Optimization problem; Upper and lower bounds; Network topology; Stochastic geometry; Heterogeneous network; Distributed computing; Wireless network; Computer network; Wireless; Algorithm; Mathematics; Utility maximization","score_opus":0.008876157704965318,"score_gpt":0.19672090283799612,"score_spread":0.1878447451330308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133705997","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":[0.04171727,0.00007926935,0.9568899,0.000031518986,0.00021087806,0.00013787278,5.9030793e-7,0.00017793389,0.0007547188],"genre_scores_gemma":[0.9946984,0.0000511856,0.004823576,0.000030777865,0.0000614496,0.000016881571,0.000008242525,0.000020853082,0.000288646],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950105,0.000025965075,0.00016718314,0.000101168196,0.00004653459,0.00015811659],"domain_scores_gemma":[0.99982816,0.0000210539,0.000030111081,0.00007868182,0.000011679507,0.000030330133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013459993,0.00007761574,0.00010548288,0.000047083016,0.00001736766,0.000020628559,0.000017875393,0.00008185857,0.000019776371],"category_scores_gemma":[0.000026653428,0.00008109764,0.0000135897035,0.000070826296,0.0000034972586,0.00012425722,0.000008841154,0.00006785217,0.000012612796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.80166e-7,0.000005417646,0.0070292708,0.000008450394,0.0000051875186,4.0108702e-7,0.000031955526,0.9920539,0.0002703198,0.00009593044,0.00010061104,0.0003976552],"study_design_scores_gemma":[0.00031623436,0.000009864539,0.0048167785,0.0000139038275,0.0000029467171,0.0000018995777,0.0000067008477,0.99292004,0.0013313867,0.000053825035,0.0004262352,0.000100209174],"about_ca_topic_score_codex":0.000017455572,"about_ca_topic_score_gemma":0.00036386724,"teacher_disagreement_score":0.9529811,"about_ca_system_score_codex":0.00014886557,"about_ca_system_score_gemma":0.0000011080166,"threshold_uncertainty_score":0.3307066},"labels":[],"label_agreement":null},{"id":"W2134008194","doi":"10.1109/glocom.2004.1377982","title":"Input optimization for multi-antenna broadcast channels with per-antenna power constraints","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematical optimization; Duality (order theory); Antenna (radio); Computer science; Optimization problem; Telecommunications link; Strong duality; Mathematics; Telecommunications","score_opus":0.016738546065160315,"score_gpt":0.24019921637253167,"score_spread":0.22346067030737135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134008194","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":[0.0008521816,0.00014075372,0.99565524,0.00007472833,0.00034782814,0.0008527932,0.000029116674,0.0006438516,0.0014035179],"genre_scores_gemma":[0.5791817,0.000024742803,0.4196744,0.00007146474,0.00009688522,0.00008806529,0.000043767734,0.00007741209,0.0007415634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891293,0.000011775132,0.00032251806,0.0002727814,0.00011103771,0.00036895022],"domain_scores_gemma":[0.9993651,0.000030532832,0.000061124636,0.0002299109,0.00020957376,0.00010378899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009232107,0.0002582507,0.00024569078,0.00013052697,0.00007640209,0.00005272552,0.00011351766,0.00011210626,0.0003451695],"category_scores_gemma":[0.000031352738,0.00022677763,0.000053333246,0.00015892927,0.000063238935,0.00048562305,0.0000152063385,0.00009252084,0.000049284496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019251467,0.00003451966,0.00004497936,0.00003928245,0.000040793526,0.0000013148933,0.000380198,0.9951986,0.0019040181,0.00015328407,0.00015875314,0.0020250166],"study_design_scores_gemma":[0.0013783963,0.00006455246,0.0000098220835,0.000062568,0.000015850566,0.00003084472,0.00031145173,0.9957649,0.0010785353,0.0000018649087,0.0009586321,0.000322589],"about_ca_topic_score_codex":0.0000031040695,"about_ca_topic_score_gemma":0.0000143916095,"teacher_disagreement_score":0.5783295,"about_ca_system_score_codex":0.00010643856,"about_ca_system_score_gemma":0.000018865747,"threshold_uncertainty_score":0.9247723},"labels":[],"label_agreement":null},{"id":"W2134166585","doi":"10.1109/glocom.2006.864","title":"WLC42-6: Non-Linear Precoding for OFDM Systems in Spatially-Correlated Frequency-Selective Fading MIMO Channels","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; Fading; Orthogonal frequency-division multiplexing; MIMO; Transmitter; MIMO-OFDM; Channel (broadcasting); Zero-forcing precoding; Computer science; Spatial correlation; Electronic engineering; Control theory (sociology); Channel state information; Telecommunications; Engineering; Wireless","score_opus":0.009497136022408759,"score_gpt":0.22356467940193409,"score_spread":0.21406754337952533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134166585","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":[0.053725645,0.00075963925,0.93580335,0.000014368846,0.0025541286,0.001632333,0.000050562012,0.0005146439,0.004945352],"genre_scores_gemma":[0.9888634,0.000016779491,0.009953191,0.0000057831157,0.00042928435,0.0002789583,0.00010923878,0.00009039699,0.00025295804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843436,0.000030864358,0.000593254,0.00032548167,0.000112842325,0.0005031851],"domain_scores_gemma":[0.99939984,0.000104251754,0.00011770876,0.0002103702,0.000111735986,0.000056118588],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020526322,0.00027210408,0.0003870665,0.00022913919,0.00008206415,0.000048341564,0.00015742189,0.00021320934,0.000007894332],"category_scores_gemma":[0.000058792633,0.00031204312,0.00007159322,0.00045670941,0.000014034984,0.000334464,0.000019338391,0.00018728746,0.000032081727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008962728,0.00001888902,0.0013167713,0.00017022851,0.00002417679,0.0000049951846,0.00020496575,0.99290955,0.004385143,0.00029300136,0.00038498864,0.00027831068],"study_design_scores_gemma":[0.00095130806,0.000039975752,0.00029718524,0.0002941956,0.000015559435,0.000009939472,0.00006298208,0.99366575,0.0035443672,0.00041628827,0.00033341555,0.0003690185],"about_ca_topic_score_codex":0.0013418257,"about_ca_topic_score_gemma":0.0004924948,"teacher_disagreement_score":0.93513775,"about_ca_system_score_codex":0.0005333181,"about_ca_system_score_gemma":0.000028171791,"threshold_uncertainty_score":0.9999332},"labels":[],"label_agreement":null},{"id":"W2134294989","doi":"10.1007/s11432-012-4766-5","title":"Energy efficient downlink MIMO transmission with linear precoding","year":2013,"lang":"en","type":"article","venue":"Science China Information Sciences","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":"Royal Ottawa Mental Health Centre","funders":"","keywords":"Precoding; Telecommunications link; MIMO; Bandwidth (computing); Transmitter power output; Computer science; Transmission (telecommunications); Heuristic; Efficient energy use; Wireless; Mathematical optimization; Electronic engineering; Computer network; Mathematics; Telecommunications; Transmitter; Engineering; Channel (broadcasting); Electrical engineering","score_opus":0.006261312220063793,"score_gpt":0.21329725145399187,"score_spread":0.20703593923392807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134294989","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":[0.089790314,0.000037733516,0.88724667,0.00010537905,0.0002900212,0.00024623616,0.0000016965221,0.00030479423,0.021977184],"genre_scores_gemma":[0.9641373,0.0000203116,0.035693083,0.00004682363,0.000024775054,0.00003593322,0.0000036788363,0.000005209025,0.000032853895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984771,0.000009913109,0.00033756968,0.00017769949,0.00061502116,0.00038268624],"domain_scores_gemma":[0.99940664,0.000022164608,0.00009454678,0.00016499877,0.0001669249,0.00014470045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005614116,0.00014409357,0.00011207358,0.00043106105,0.0005918794,0.0003526081,0.00047026502,0.000037484442,0.00007194489],"category_scores_gemma":[0.00003195872,0.00009942814,0.000021078822,0.0020050313,0.00050074107,0.00571589,0.000028471195,0.00007661773,0.000098346994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.0792537e-7,0.0000035956173,0.000058025522,0.00001601267,8.5342737e-7,5.4842882e-8,0.0012988884,0.9600693,0.0017910755,0.00055820734,0.000046048117,0.036157038],"study_design_scores_gemma":[0.00012831436,0.00004877395,0.0005688072,0.000052987703,0.0000015067735,0.0000087530225,0.00041488255,0.9859343,0.011421276,0.00008760369,0.0011638689,0.00016888476],"about_ca_topic_score_codex":0.000058921072,"about_ca_topic_score_gemma":0.0000022392587,"teacher_disagreement_score":0.87434703,"about_ca_system_score_codex":0.00009216471,"about_ca_system_score_gemma":0.00010889128,"threshold_uncertainty_score":0.4552318},"labels":[],"label_agreement":null},{"id":"W2134300035","doi":"10.1109/icc.2008.774","title":"Sum-Rate Analysis of Multiuser MIMO System with Zero-Forcing Transmit Beamforming","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Ergodic theory; Beamforming; MIMO; Precoding; Channel (broadcasting); Computer science; Control theory (sociology); Transmitter power output; Telecommunications; Mathematics; Mathematical optimization; Topology (electrical circuits); Mathematical analysis; Combinatorics","score_opus":0.009073787604973174,"score_gpt":0.19047754280273024,"score_spread":0.18140375519775706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134300035","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":[0.19815266,0.000073659234,0.7983703,0.0000014515945,0.000044783606,0.00016092042,0.000006560298,0.0003470685,0.0028425818],"genre_scores_gemma":[0.9640263,0.000020189374,0.035543345,0.0000037551529,0.000013299259,0.0000168405,0.000017169044,0.000043293374,0.00031580921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990875,0.000015864754,0.0003861983,0.00016777407,0.00012588775,0.00021674391],"domain_scores_gemma":[0.9994877,0.000044143362,0.00006920195,0.0002556364,0.00008467463,0.00005863195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010177162,0.00016952543,0.00041381526,0.00033716531,0.00006225203,0.0000069484067,0.000089994785,0.00006452809,0.000016137485],"category_scores_gemma":[0.00000490278,0.00014110631,0.000094784504,0.0009837602,0.000023523382,0.00028542435,0.000006140062,0.000068020134,0.0000054880056],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008337435,0.0000057597804,0.004296753,0.00017670698,0.00049061235,0.000006796545,0.0006308529,0.99049467,0.0036345266,0.00014435638,0.000009547252,0.00010105533],"study_design_scores_gemma":[0.000385381,0.000019280222,0.0010362654,0.00009710506,0.00031122653,0.000013562769,0.00042944596,0.9859164,0.01154511,4.8729146e-7,0.00003712667,0.00020865878],"about_ca_topic_score_codex":0.00021005601,"about_ca_topic_score_gemma":0.00025336246,"teacher_disagreement_score":0.7658737,"about_ca_system_score_codex":0.00009075401,"about_ca_system_score_gemma":0.000009963923,"threshold_uncertainty_score":0.57541484},"labels":[],"label_agreement":null},{"id":"W2134414143","doi":"10.1109/ccece.2005.1556890","title":"Circulant wired mimo structures","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Circulant matrix; MIMO; Channel capacity; Spectral efficiency; Topology (electrical circuits); Gaussian; Channel (broadcasting); Multipath propagation; Precoding; Computer science; Electronic engineering; Mathematics; Telecommunications; Algorithm; Physics; Engineering; Combinatorics","score_opus":0.004790547165688213,"score_gpt":0.18564623403930763,"score_spread":0.18085568687361941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134414143","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":[0.017226411,0.00023341844,0.91973466,0.00000984655,0.0002898973,0.00010762224,0.000003151924,0.0007672332,0.06162777],"genre_scores_gemma":[0.98567736,0.00000328738,0.013554123,0.000009010846,0.000102190774,0.0000049610803,0.00001736081,0.00002018553,0.0006115145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996744,0.0000033320835,0.00010508742,0.00006770944,0.00004504863,0.000104466104],"domain_scores_gemma":[0.9998443,0.0000066440493,0.000009011263,0.00010712633,0.000016359429,0.000016548393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000013189845,0.00006672488,0.00006610147,0.00003100892,0.000016916143,0.000011868762,0.000040299776,0.000033458473,0.00007469482],"category_scores_gemma":[0.0000030272956,0.00006120676,0.000013831107,0.00007721239,0.0000059164827,0.000067721994,0.000004405252,0.000022695174,0.000021032174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.319222e-7,0.0000017344221,0.00021788321,0.0000143821135,0.00000453876,0.000002060198,0.000010813825,0.9752534,0.014006425,0.005446796,0.0045374334,0.0005040875],"study_design_scores_gemma":[0.0010212988,0.000018643465,0.008481058,0.000032222306,0.00002129859,0.00006772,0.000111567126,0.86454576,0.086182214,0.013666695,0.024973515,0.0008779828],"about_ca_topic_score_codex":0.000037225513,"about_ca_topic_score_gemma":0.000040872586,"teacher_disagreement_score":0.96845096,"about_ca_system_score_codex":0.000028922224,"about_ca_system_score_gemma":0.0000025629618,"threshold_uncertainty_score":0.24959391},"labels":[],"label_agreement":null},{"id":"W2134647517","doi":"10.1109/twc.2009.071417","title":"On rate-optimal MIMO signalling with mean and covariance feedback","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Communications Research Centre Canada; Innovation, Science and Economic Development Canada","funders":"","keywords":"Covariance; Covariance matrix; Karush–Kuhn–Tucker conditions; Mathematics; MIMO; Mathematical optimization; Covariance function; Control theory (sociology); Computer science; Channel (broadcasting); Algorithm; Applied mathematics; Statistics; Telecommunications","score_opus":0.015378740539335871,"score_gpt":0.2326501570800843,"score_spread":0.2172714165407484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134647517","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":[0.021556906,0.000157197,0.9760279,0.00037703075,0.00008181214,0.00033901393,0.00002615617,0.00047228698,0.0009617056],"genre_scores_gemma":[0.96646917,0.0006597962,0.032486316,0.00010315744,0.000013006151,0.00007459977,0.000012922039,0.000047586305,0.00013344802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991107,0.00007818623,0.00026631562,0.00021595755,0.000109890505,0.00021894289],"domain_scores_gemma":[0.9985703,0.00024969963,0.000054798187,0.00094972627,0.00008022203,0.000095228126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010572213,0.00022775718,0.0002121273,0.00014857318,0.00039519375,0.00005852755,0.00033046684,0.000093467876,0.000014380139],"category_scores_gemma":[0.0000022820877,0.00023232076,0.000039347582,0.00035989349,0.00009427178,0.000265089,0.0000013874214,0.00041259392,0.000029369783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003839101,0.000104367355,7.9243364e-7,0.000013165729,0.00003762555,9.892643e-7,0.00039797797,0.98529005,0.0045231194,0.0012635143,0.00002575078,0.008304226],"study_design_scores_gemma":[0.0011194411,0.00031122426,0.000056677432,0.00035824336,0.000065963475,0.000021104383,0.0002444951,0.9792275,0.017627122,0.00017588635,0.00026317657,0.00052920735],"about_ca_topic_score_codex":0.00000932284,"about_ca_topic_score_gemma":0.0000955524,"teacher_disagreement_score":0.94491225,"about_ca_system_score_codex":0.00010076732,"about_ca_system_score_gemma":0.000020254849,"threshold_uncertainty_score":0.94737655},"labels":[],"label_agreement":null},{"id":"W2134971686","doi":"10.1109/tvt.2011.2158012","title":"Aggregate Interference Distribution From Large Wireless Networks With Correlated Shadowing: An Analytical–Numerical–Simulation Approach","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Extrapolation; Monte Carlo method; Interference (communication); Cholesky decomposition; Mathematical optimization; Algorithm; Channel (broadcasting); Mathematics; Telecommunications; Statistics","score_opus":0.01502949586512019,"score_gpt":0.2174256092038066,"score_spread":0.2023961133386864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134971686","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08394407,0.00005540936,0.9137589,0.000008112999,0.00020435543,0.00032967774,0.000055299683,0.0015604391,0.00008377426],"genre_scores_gemma":[0.99288887,0.000024850162,0.0066792043,0.000010701373,0.000017998633,0.00009932889,0.00019471852,0.00006966157,0.000014645648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862117,0.000050734383,0.0003563381,0.00045359603,0.00012297857,0.00039520997],"domain_scores_gemma":[0.9991272,0.000031137566,0.00008467864,0.0005444788,0.000114542985,0.000097949094],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000074640855,0.00030094455,0.0003304245,0.00023331087,0.00014661116,0.000021613145,0.00023318637,0.00052366714,0.000039285595],"category_scores_gemma":[0.000004459896,0.00028903133,0.00006164204,0.0009663051,0.00009540853,0.00031730687,0.000002462192,0.0006603144,0.000021311123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006817338,0.00018592685,0.0001565943,0.000009744364,0.000115395844,0.000011807644,0.00011506086,0.9919913,0.0002278891,0.00023410775,0.0000022535673,0.0068817474],"study_design_scores_gemma":[0.0005882926,0.00019026731,0.000087160544,0.00007661704,0.00010503236,0.000014985867,0.0001634155,0.9932178,0.0051231603,0.000079051475,0.00002962345,0.00032455736],"about_ca_topic_score_codex":0.00002888296,"about_ca_topic_score_gemma":0.000019506284,"teacher_disagreement_score":0.90894485,"about_ca_system_score_codex":0.00016849207,"about_ca_system_score_gemma":0.000011946567,"threshold_uncertainty_score":0.9999562},"labels":[],"label_agreement":null},{"id":"W2135010525","doi":"10.1109/tw.2014.011614.131163","title":"Clustering and Resource Allocation for Dense Femtocells in a Two-Tier Cellular OFDMA Network","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Femtocell; Computer science; Cellular network; Computer network; Orthogonal frequency-division multiple access; Cluster analysis; Resource allocation; Femto-; Distributed computing; Frequency-division multiple access; Wireless network; Orthogonal frequency-division multiplexing; Wireless; Channel (broadcasting); Base station; Telecommunications","score_opus":0.01673242376324071,"score_gpt":0.2450569857486859,"score_spread":0.22832456198544518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135010525","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":[0.012020986,0.00035891795,0.9859203,0.00022214309,0.00016334288,0.0007005753,0.00001546693,0.00024213635,0.00035611],"genre_scores_gemma":[0.9677582,0.00042611817,0.030779889,0.000049768016,0.00004500143,0.0007238843,0.00002284011,0.00006905241,0.00012524473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899626,0.0001182276,0.0003672926,0.00019720211,0.000075189026,0.000245842],"domain_scores_gemma":[0.99852884,0.00039476875,0.00006145152,0.0008899632,0.0000572274,0.00006777715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002656322,0.00017760457,0.00021143208,0.0001613689,0.00027942867,0.000039950493,0.0002901614,0.000086519096,0.0000042155143],"category_scores_gemma":[0.000005588384,0.00021744215,0.00004941281,0.00031965284,0.00006373012,0.0001686245,0.000005126218,0.0002485359,0.0000057663988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013718672,0.000042456,0.000023553557,0.00005872302,0.000019704377,8.383675e-8,0.00040937736,0.9721298,0.005295115,0.0002826714,0.000038581158,0.021686208],"study_design_scores_gemma":[0.0006966554,0.000022458253,0.000023819968,0.00016349956,0.00002892606,0.0000020495106,0.00008376147,0.9920068,0.004535143,0.00010907706,0.0021122494,0.0002155627],"about_ca_topic_score_codex":0.00004305661,"about_ca_topic_score_gemma":0.000947828,"teacher_disagreement_score":0.95573723,"about_ca_system_score_codex":0.0001084705,"about_ca_system_score_gemma":0.000010854255,"threshold_uncertainty_score":0.8867034},"labels":[],"label_agreement":null},{"id":"W2135130079","doi":"10.1109/cdc.2009.5400062","title":"Multi-user scalable video transmission control in cognitive radio networks as a Markovian dynamic game","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Cognitive radio; Computer network; Time division multiple access; Markov process; Scalability; Video game; Video quality; Multimedia; Real-time computing; Telecommunications; Wireless","score_opus":0.004408507407868352,"score_gpt":0.22535951078329053,"score_spread":0.22095100337542217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135130079","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":[0.0027858198,0.00079750497,0.99113744,0.00006521473,0.00010210608,0.0006639719,0.0000031636685,0.0003999475,0.004044814],"genre_scores_gemma":[0.9853443,0.00015034834,0.012117817,0.00018945712,0.000027394606,0.0000336215,0.0000215051,0.000042681993,0.0020728793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989586,0.000041802567,0.0003194308,0.00023508092,0.000088164736,0.0003569415],"domain_scores_gemma":[0.99961257,0.00007258171,0.000029838275,0.00013236809,0.00004177955,0.000110853085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120385106,0.00020805524,0.00027246316,0.00013075952,0.000030133573,0.000026929953,0.000083136496,0.00015936044,0.00016049983],"category_scores_gemma":[0.00002375311,0.00020411507,0.000050635274,0.00028054632,0.000014658923,0.00029911436,0.0000035706735,0.00020457437,0.00003068322],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062453495,0.00004080971,0.00016921251,0.0000148767185,0.000015038891,0.000017360502,0.00016009134,0.97342366,0.0023391286,0.000020226382,0.00009022229,0.023646912],"study_design_scores_gemma":[0.0032385017,0.0000491404,0.0021312204,0.00020526879,0.000014175569,0.000011509446,0.00008090487,0.9934694,0.00020527726,0.000032627588,0.00031236312,0.00024957067],"about_ca_topic_score_codex":0.00002906164,"about_ca_topic_score_gemma":0.00007473989,"teacher_disagreement_score":0.9825585,"about_ca_system_score_codex":0.00014808124,"about_ca_system_score_gemma":0.000011824104,"threshold_uncertainty_score":0.8323571},"labels":[],"label_agreement":null},{"id":"W2135688481","doi":"10.1109/twc.2008.060699","title":"Comments on \"Asymptotic eigenvalue distributions and capacity for MIMO channels under correlated fading","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Eigenvalues and eigenvectors; Fading; MIMO; Applied mathematics; Convergence (economics); Asymptotic distribution; Mathematics; Random matrix; Channel (broadcasting); Computer science; Topology (electrical circuits); Combinatorics; Statistics; Telecommunications; Physics","score_opus":0.04575004135104292,"score_gpt":0.2575979199774116,"score_spread":0.21184787862636867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135688481","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":[0.04434045,0.00009594585,0.9528855,0.00035027612,0.0004957771,0.00076001685,0.0003692568,0.00045769324,0.000245056],"genre_scores_gemma":[0.9904889,0.0008182341,0.0077932784,0.0000603866,0.00001837455,0.0005025752,0.00011732391,0.000065446344,0.00013547634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892485,0.000082963204,0.00037004767,0.00022235846,0.00011314063,0.0002866581],"domain_scores_gemma":[0.99826884,0.00046109853,0.00006814919,0.00096759346,0.00011185719,0.00012247989],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009329758,0.00024525082,0.0002501678,0.00018574735,0.0012136509,0.000029732251,0.00032296227,0.00015470471,0.000009608652],"category_scores_gemma":[0.00000807165,0.000285004,0.00009149233,0.00035412874,0.00019491655,0.00021927802,0.0000041023914,0.00039140868,0.00002459714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014453083,0.00024404937,0.000016155016,0.00003499472,0.00012288766,3.5570014e-7,0.0005902992,0.9930145,0.0014591826,0.0024101888,0.00016996519,0.0019229478],"study_design_scores_gemma":[0.0016058822,0.00014299121,0.0002006692,0.0002527631,0.000118235075,0.000049660015,0.0002193828,0.9825985,0.012502887,0.00041338717,0.001287825,0.00060786144],"about_ca_topic_score_codex":0.000034367105,"about_ca_topic_score_gemma":0.00005956364,"teacher_disagreement_score":0.94614846,"about_ca_system_score_codex":0.00028855374,"about_ca_system_score_gemma":0.000021175167,"threshold_uncertainty_score":0.9999602},"labels":[],"label_agreement":null},{"id":"W2135794181","doi":"10.1109/lawp.2009.2026301","title":"A 3D-to-2D Transform Algorithm for Incorporating 3D Antenna Radiation Patterns in SCM","year":2009,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"MIMO; Radiation pattern; Algorithm; Antenna (radio); Computer science; Channel (broadcasting); Electronic engineering; Telecommunications; Engineering","score_opus":0.007528386094255305,"score_gpt":0.21826397812770867,"score_spread":0.21073559203345338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135794181","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":[0.18127078,0.00004539048,0.81654173,0.00081131293,0.00022445475,0.00091340294,0.000025067859,0.00015107181,0.000016761109],"genre_scores_gemma":[0.9759484,0.00007567075,0.022756144,0.00077111984,0.00019339356,0.00013933804,0.00006618481,0.0000406831,0.000009053993],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988358,0.000023175931,0.0004413378,0.00028282,0.00012153491,0.00029532952],"domain_scores_gemma":[0.99961627,0.00003087435,0.000086132575,0.00012673804,0.00006247759,0.00007750476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019496048,0.00021563798,0.0002542333,0.00027090922,0.00008713734,0.00006493527,0.00007907195,0.00008467768,0.0000013731819],"category_scores_gemma":[0.000009922328,0.00022375908,0.00003760079,0.00030185154,0.000016942016,0.0005319569,0.0000036390836,0.00012180918,0.0000025587888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025408184,0.000029498402,0.00053243985,0.0001397345,0.000016858277,0.000010190849,0.0011255092,0.07232098,0.25592557,0.000046416968,0.00006956128,0.66975784],"study_design_scores_gemma":[0.00093486626,0.00009394356,0.0014728843,0.00024113985,0.000010490678,0.000008987793,0.00010178335,0.99020696,0.006509769,0.000053328415,0.000047402675,0.00031844852],"about_ca_topic_score_codex":0.000022062664,"about_ca_topic_score_gemma":0.00003236464,"teacher_disagreement_score":0.91788596,"about_ca_system_score_codex":0.00011418794,"about_ca_system_score_gemma":0.000010699111,"threshold_uncertainty_score":0.91246307},"labels":[],"label_agreement":null},{"id":"W2136617614","doi":"10.1016/b978-012369422-5/50008-7","title":"MIMO channel modelling","year":2006,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","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":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Multipath propagation; Fading; Channel (broadcasting); Electronic engineering; Computer science; Impulse response; Mathematics; Algorithm; Telecommunications; Engineering; Mathematical analysis","score_opus":0.014024902102998595,"score_gpt":0.19961401653098243,"score_spread":0.18558911442798384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136617614","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.697481e-7,0.0024300376,0.15119094,0.0000023744753,0.0006114949,0.00040665004,0.000031954878,0.0005511832,0.84477466],"genre_scores_gemma":[0.0009723163,0.00013773529,0.004301172,0.000020876783,0.0006718734,0.000044475946,0.00009249168,0.0003504789,0.99340856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986872,0.0000056378562,0.00048275592,0.00033089705,0.00018163084,0.00031188267],"domain_scores_gemma":[0.99925584,0.000020618787,0.000111523805,0.00046038057,0.000071132796,0.00008053105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007193848,0.0004918508,0.00048361978,0.00018170197,0.000059862083,0.000031487005,0.0001797593,0.00042734883,0.000037117436],"category_scores_gemma":[0.0000015977033,0.00055654097,0.0001610657,0.000011326575,0.000033687622,0.00006411417,0.00003523073,0.00039258532,0.00023136515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001333419,0.0000010823435,4.336011e-8,0.00016903899,0.00004380414,0.000012270482,0.00005263713,0.84282,0.000010015701,0.0010445279,0.00040012345,0.15544514],"study_design_scores_gemma":[0.00015144747,0.000009322801,3.31632e-8,0.0005084803,0.00005521531,0.000011458187,0.0000019358129,0.22612575,0.000058856367,0.0063439715,0.7661047,0.00062886084],"about_ca_topic_score_codex":4.767475e-7,"about_ca_topic_score_gemma":0.0000064787273,"teacher_disagreement_score":0.7657046,"about_ca_system_score_codex":0.00016876585,"about_ca_system_score_gemma":0.0000185492,"threshold_uncertainty_score":0.9996886},"labels":[],"label_agreement":null},{"id":"W2136621718","doi":"10.1109/tit.2011.2133010","title":"From Multi-Keyholes to Measure of Correlation and Power Imbalance in MIMO Channels: Outage Capacity Analysis","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Spatial correlation; Channel capacity; MIMO; Mathematics; Rayleigh fading; Fading; Topology (electrical circuits); Gaussian; Channel (broadcasting); Measure (data warehouse); Applied mathematics; Computer science; Statistics; Telecommunications; Physics; Decoding methods; Combinatorics","score_opus":0.015612821770921891,"score_gpt":0.2031892998202911,"score_spread":0.18757647804936922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136621718","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":[0.084068164,0.000018449213,0.9145444,0.0000026391199,0.000308155,0.0002408572,0.00011458967,0.000098618024,0.0006041114],"genre_scores_gemma":[0.99160945,0.000010914904,0.0082680285,0.000020742149,0.000005127842,0.000040893814,0.000013634073,0.000010585541,0.000020645812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992465,0.000046887697,0.00040428853,0.000088714434,0.00010406939,0.00010957954],"domain_scores_gemma":[0.9995566,0.000052464075,0.00008328271,0.0001801628,0.00007681452,0.000050671657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022284288,0.00012538128,0.00019417072,0.0005464686,0.000036953777,0.00001266884,0.00006579079,0.00009949086,0.00006583882],"category_scores_gemma":[0.000013511001,0.00013390685,0.00005131903,0.0005131133,0.000025652304,0.0009052823,7.0530507e-7,0.000126587,0.000027597314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052393414,0.000020519705,0.00019260551,0.000021223077,0.00009070169,1.1481512e-7,0.019830242,0.9774318,0.0003399633,0.0001446843,0.0000028775348,0.0018729288],"study_design_scores_gemma":[0.0013386749,0.00007539044,0.007837514,0.00016251137,0.0001940308,0.0000017134728,0.005109184,0.95067596,0.03347171,0.00061602384,0.000044283894,0.00047300945],"about_ca_topic_score_codex":0.00010077255,"about_ca_topic_score_gemma":0.000088821085,"teacher_disagreement_score":0.9075413,"about_ca_system_score_codex":0.00008212607,"about_ca_system_score_gemma":0.000006483509,"threshold_uncertainty_score":0.5460563},"labels":[],"label_agreement":null},{"id":"W2136748833","doi":"10.1109/glocom.2009.5426061","title":"Asymptotic Performance Analysis of Optimum Combining for Dense Multiple Antenna Reception Under Rayleigh Fading","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rayleigh fading; Mathematics; Fading; Signal-to-interference-plus-noise ratio; Noise power; Asymptotic analysis; Interference (communication); Antenna array; Antenna (radio); Topology (electrical circuits); Mathematical analysis; Channel (broadcasting); Power (physics); Telecommunications; Physics; Computer science","score_opus":0.015021398800624624,"score_gpt":0.2351615840563941,"score_spread":0.22014018525576948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136748833","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":[0.27187923,0.00004718824,0.72715044,0.00000896787,0.00009737646,0.00019802124,0.0000035013218,0.00018111963,0.0004341575],"genre_scores_gemma":[0.9503323,0.000053314234,0.049347132,0.000019395155,0.000022325468,0.0000133043295,0.000055512293,0.000021962489,0.00013474554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916804,0.000011399052,0.00035868428,0.00016039722,0.00008851639,0.00021298758],"domain_scores_gemma":[0.9994859,0.00009700232,0.00007870967,0.0001906535,0.00010621107,0.000041527775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014251057,0.00013771848,0.00030543568,0.00033956105,0.000057816516,0.000014954094,0.00007894827,0.00007354321,0.000024507586],"category_scores_gemma":[0.00003652138,0.00014089806,0.000105014944,0.00066340994,0.000011983093,0.0002903547,0.000006799573,0.000057259185,0.000003898097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014350243,0.000013638178,0.0017052061,0.000035911984,0.00015141229,1.06979826e-7,0.00015339346,0.9694178,0.027110286,0.0001691012,0.00001768783,0.0012110736],"study_design_scores_gemma":[0.0004936646,0.00006589065,0.0044529424,0.000042948675,0.00018900835,0.0000010823103,0.00016810598,0.989105,0.0052781203,0.000034011082,0.000008950456,0.00016031506],"about_ca_topic_score_codex":0.0000033485096,"about_ca_topic_score_gemma":0.000009581176,"teacher_disagreement_score":0.6784531,"about_ca_system_score_codex":0.00009428302,"about_ca_system_score_gemma":0.0000052226937,"threshold_uncertainty_score":0.57456565},"labels":[],"label_agreement":null},{"id":"W2137137836","doi":"10.1109/aps.2010.5561656","title":"Link-layer performance of 2×2 780MHz and 2×2 2.3GHz MIMO systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"MIMO; Antenna (radio); Computer science; Link (geometry); Layer (electronics); Directional antenna; Electronic engineering; Physical layer; Telecommunications; Engineering; Computer network; Materials science; Wireless; Channel (broadcasting)","score_opus":0.013084849423858928,"score_gpt":0.22276869192461307,"score_spread":0.20968384250075414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137137836","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":[0.79429597,0.00064829545,0.19155559,0.000034718076,0.0017911933,0.0005870228,0.000019051486,0.00065064325,0.010417537],"genre_scores_gemma":[0.96068835,0.00021461242,0.036114562,0.0000136212,0.0002969721,0.000047163026,0.000025928566,0.00008848256,0.0025103132],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985054,0.000022571332,0.0005975556,0.00029631535,0.00020820356,0.00036996833],"domain_scores_gemma":[0.9988963,0.000084823885,0.00011117504,0.0006010491,0.0001575521,0.00014908709],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002573616,0.0003001146,0.0004171411,0.00017908268,0.00007577867,0.000050489787,0.00019658412,0.00026044127,0.00010525189],"category_scores_gemma":[0.000059324186,0.00028178887,0.000054183998,0.00025956423,0.0000720368,0.00042709356,0.000056432284,0.00035271762,0.00012918458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038319697,0.000060898165,0.00990309,0.0021775754,0.0001523095,0.0000016118356,0.00094583665,0.43301073,0.5415512,0.004345637,0.0017369208,0.0060759285],"study_design_scores_gemma":[0.0023614946,0.00022511874,0.003783795,0.0007379914,0.00014498828,0.00029643156,0.00038650533,0.7654638,0.05168891,0.00017509183,0.17223558,0.0025002598],"about_ca_topic_score_codex":0.00006483135,"about_ca_topic_score_gemma":0.00016242168,"teacher_disagreement_score":0.48986226,"about_ca_system_score_codex":0.000037261823,"about_ca_system_score_gemma":0.000018629606,"threshold_uncertainty_score":0.9999634},"labels":[],"label_agreement":null},{"id":"W2137160901","doi":"10.48550/arxiv.1008.0270","title":"A Non-Cooperative Method for Path Loss Estimation in Femtocell Networks","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; University of Alberta","keywords":"Macrocell; Femtocell; Path loss; Computer science; Path (computing); Minimum mean square error; Computer network; Channel (broadcasting); Interference (communication); Transmission (telecommunications); Base station; Algorithm; Topology (electrical circuits); Telecommunications; Mathematics; Statistics; Wireless; Estimator","score_opus":0.028462152635908754,"score_gpt":0.20428374768150398,"score_spread":0.17582159504559522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137160901","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":[0.014879651,0.000043258304,0.9820992,0.0000052904206,0.0007158754,0.0012897531,0.000033022607,0.00023011935,0.00070383586],"genre_scores_gemma":[0.9188348,0.0000887037,0.08037237,0.000009946219,0.00009047832,0.000020909778,0.00015952207,0.00007242128,0.00035084813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987506,0.000047735335,0.00026985735,0.000584439,0.0000306914,0.00031663827],"domain_scores_gemma":[0.9990263,0.0001329712,0.00013693603,0.00047193663,0.00014567401,0.00008620421],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025066247,0.00034526366,0.00041704267,0.00023359446,0.00006303492,0.00003879326,0.00030925628,0.0006001779,0.000013144948],"category_scores_gemma":[0.000038215072,0.00043714297,0.000112916816,0.00035619768,0.000032474712,0.00024491365,0.0001520147,0.00076135254,0.000013875157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029617477,0.00002102414,0.00021667228,0.00018735783,0.000037983355,0.000027452392,0.0001930245,0.99701613,0.000067054134,0.0017433923,0.00005137026,0.00040893164],"study_design_scores_gemma":[0.00068784435,0.000021180213,0.000059080245,0.00015541086,0.000048340306,0.0000019054083,0.00005717788,0.996108,0.0002528039,0.0021502404,0.000040855157,0.00041714995],"about_ca_topic_score_codex":0.00006331561,"about_ca_topic_score_gemma":0.00020590823,"teacher_disagreement_score":0.90395516,"about_ca_system_score_codex":0.00032827046,"about_ca_system_score_gemma":0.000055757184,"threshold_uncertainty_score":0.999808},"labels":[],"label_agreement":null},{"id":"W2137197729","doi":"10.2528/pierl11122704","title":"ON THE PERFORMANCE OF MIMO SYSTEMS FOR LTE DOWNLINK IN UNDERGROUND GOLD MINE","year":2012,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"MIMO; Telecommunications link; Transmission (telecommunications); Computer science; Antenna (radio); Real-time computing; Engineering; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.02893450653359714,"score_gpt":0.3034491095139831,"score_spread":0.27451460298038594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137197729","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":[0.9892768,0.0061475327,0.0018678842,0.00060951366,0.00018902634,0.0015524479,0.000005405824,0.00004300988,0.00030833425],"genre_scores_gemma":[0.9973008,0.00039590924,0.0012448487,0.000022405115,0.000106236155,0.0008169409,0.000010295558,0.000050042287,0.00005251854],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979679,0.00016312946,0.00038179368,0.00017071943,0.00038839504,0.00092807005],"domain_scores_gemma":[0.9988389,0.0006394345,0.000048759775,0.00032692114,0.00008832281,0.000057673726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001293304,0.00015565695,0.00020994952,0.00040537555,0.000040694875,0.00003749377,0.00031900685,0.00008343349,0.000003282926],"category_scores_gemma":[0.000111211164,0.00012954882,0.000029597126,0.0007304046,0.0001472785,0.00017289561,0.00003421634,0.00046713866,0.000005004171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040372575,0.00053683546,0.056718703,0.0036092245,0.00010156614,0.000009904117,0.001641453,0.80406564,0.10003168,0.018876009,0.006628782,0.0073764883],"study_design_scores_gemma":[0.0015785311,0.0012563966,0.0035153804,0.0006948864,0.0000093046065,0.000010823877,0.00018645891,0.9751372,0.015813446,0.00013390402,0.0011994314,0.00046429143],"about_ca_topic_score_codex":0.000014819009,"about_ca_topic_score_gemma":0.000018495351,"teacher_disagreement_score":0.17107151,"about_ca_system_score_codex":0.00032717962,"about_ca_system_score_gemma":0.000018475173,"threshold_uncertainty_score":0.5282847},"labels":[],"label_agreement":null},{"id":"W2137330860","doi":"10.1109/isssta.2004.1371737","title":"Throughput of realistic multi-user MIMO-OFDM systems","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Channel state information; Telecommunications link; MIMO; Fading; Base station; Throughput; Bandwidth (computing); Orthogonal frequency-division multiplexing; Multi-user MIMO; Channel (broadcasting); Computer network; Transmission (telecommunications); Electronic engineering; Precoding; Spectral efficiency; Real-time computing; Telecommunications; Engineering; Wireless","score_opus":0.015743724579443893,"score_gpt":0.24394689368522246,"score_spread":0.22820316910577856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137330860","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":[0.0011066835,0.00066720654,0.9831003,0.000015043221,0.00033924915,0.00024813556,0.000011783162,0.00042926506,0.014082334],"genre_scores_gemma":[0.92308503,0.000058019592,0.07214983,0.000010634732,0.00014956789,0.00002342535,0.000013212791,0.000047664642,0.004462633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992856,0.000013840159,0.00033693915,0.000116240575,0.00008704733,0.00016033172],"domain_scores_gemma":[0.99956197,0.000033732314,0.00004427473,0.00025765493,0.000060557304,0.000041841322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006934002,0.00011761826,0.00019266615,0.000055654877,0.000017411323,0.000011043165,0.000091561786,0.00007147864,0.000042514122],"category_scores_gemma":[0.000024339768,0.0001104532,0.000031171818,0.00012462602,0.000015712758,0.000189656,0.0000131104525,0.00005463188,0.000077784105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012554162,0.000013708025,0.00006188659,0.00013175068,0.000017660303,6.764783e-7,0.00012146648,0.9884521,0.0025277801,0.007030624,0.0012174483,0.00042366754],"study_design_scores_gemma":[0.00035872418,0.000012805187,0.00006460991,0.00008078917,0.000014630482,0.000009178511,0.00021783878,0.9820127,0.004896612,0.000013633182,0.012113605,0.00020486096],"about_ca_topic_score_codex":0.000093239214,"about_ca_topic_score_gemma":0.00006820123,"teacher_disagreement_score":0.92197835,"about_ca_system_score_codex":0.00008539197,"about_ca_system_score_gemma":0.0000065115737,"threshold_uncertainty_score":0.45041507},"labels":[],"label_agreement":null},{"id":"W2137526725","doi":"10.1109/4234.991144","title":"New compound upper bound on MIMO channel capacity","year":2002,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; University of Ottawa","funders":"","keywords":"MIMO; Channel capacity; Upper and lower bounds; Channel (broadcasting); Ergodic theory; Precoding; Computer science; Spatial correlation; Capacity loss; Mathematics; Reduction (mathematics); Telecommunications; Topology (electrical circuits); Physics; Combinatorics; Mathematical analysis","score_opus":0.04479898048445852,"score_gpt":0.2388109162698474,"score_spread":0.1940119357853889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137526725","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":[0.079189174,0.0015715327,0.8625953,0.01761195,0.0020576923,0.0009910569,0.000049323175,0.0018840072,0.03404997],"genre_scores_gemma":[0.974624,0.0002590186,0.023381367,0.0011438208,0.0001390332,0.00004822906,0.000024662097,0.00006215358,0.00031775635],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999218,0.00005760099,0.000246296,0.0001434836,0.00010779363,0.000226841],"domain_scores_gemma":[0.9980675,0.00011752717,0.00004804596,0.0016486453,0.000028864444,0.00008944549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060940496,0.00017151306,0.00015570613,0.00012960301,0.0002127742,0.00005648383,0.0006406229,0.00006522317,0.000057959318],"category_scores_gemma":[0.000014461445,0.00019886713,0.00005647895,0.00023506039,0.00007603731,0.00022901999,0.00003631227,0.00027932122,0.00045050657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027471483,0.000071902425,0.00008301167,0.000033322438,0.000080553684,0.000001995308,0.0017921743,0.7987886,0.020037407,0.00096926367,0.1760343,0.0021046933],"study_design_scores_gemma":[0.0013878986,0.000049241662,0.00038135212,0.00024662845,0.000055252272,0.000049436345,0.0001479831,0.82845354,0.0057034157,0.0004021619,0.1619455,0.0011775972],"about_ca_topic_score_codex":0.000054209668,"about_ca_topic_score_gemma":0.00005576243,"teacher_disagreement_score":0.8954348,"about_ca_system_score_codex":0.00018361217,"about_ca_system_score_gemma":0.000003550993,"threshold_uncertainty_score":0.8109566},"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":"W2137791670","doi":"10.1109/icc.1988.13578","title":"End-to-end cutoff fraction of voice transmission in tandem link networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fraction (chemistry); Cutoff; End-to-end principle; Transmission (telecommunications); Tandem; Computer science; Link (geometry); Scale (ratio); Algorithm; Computer network; Artificial intelligence; Speech recognition; Telecommunications; Engineering; Physics","score_opus":0.007656941875892249,"score_gpt":0.2231638568903782,"score_spread":0.21550691501448596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137791670","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":[0.0037528626,0.00028210442,0.98243636,0.000016868276,0.00016232902,0.00019141007,3.9910267e-7,0.00012518396,0.013032483],"genre_scores_gemma":[0.965122,0.00010367573,0.03447934,0.000017868375,0.000043053184,0.000011294524,0.000005334937,0.000026728228,0.00019071424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935794,0.000027568856,0.00026981148,0.00011636165,0.00007785929,0.00015047092],"domain_scores_gemma":[0.9997226,0.000047372017,0.000027332262,0.00012010553,0.000028430908,0.00005414267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012888793,0.000097607364,0.00015584778,0.000101171696,0.000015569662,0.0000058382834,0.000042173593,0.000110560104,0.000118740194],"category_scores_gemma":[0.00002208857,0.00009824071,0.000024808971,0.00032671614,0.000005062779,0.00016357287,0.0000027547799,0.00012406442,0.000011262542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024836897,0.000008304896,0.0006020553,0.000018158209,0.000005006879,8.202858e-7,0.00008524488,0.98247385,0.003954114,0.0002445988,0.00008823184,0.012517118],"study_design_scores_gemma":[0.00051224226,0.000034408316,0.0009920041,0.00012604686,0.000009605949,0.000004825125,0.00013085477,0.96255755,0.018819327,0.00015225548,0.016436517,0.00022436297],"about_ca_topic_score_codex":0.00002628137,"about_ca_topic_score_gemma":0.000029282448,"teacher_disagreement_score":0.96136916,"about_ca_system_score_codex":0.00007884725,"about_ca_system_score_gemma":0.000007923099,"threshold_uncertainty_score":0.400614},"labels":[],"label_agreement":null},{"id":"W2137920087","doi":"10.1109/ciss.2009.5054699","title":"ICI/ISI aware beamforming for MIMO-OFDM wireless system","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cisco Systems (Canada)","funders":"","keywords":"Cyclic prefix; Orthogonal frequency-division multiplexing; Beamforming; Computer science; Multipath propagation; Delay spread; MIMO; Multipath interference; Electronic engineering; Interference (communication); MIMO-OFDM; Degradation (telecommunications); Intersymbol interference; Channel (broadcasting); Wireless; Telecommunications; Engineering","score_opus":0.008033555666653716,"score_gpt":0.2196748682553,"score_spread":0.21164131258864627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137920087","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":[0.0028741416,0.000106804444,0.98521847,0.000025328123,0.0003943522,0.0005178855,0.000009992261,0.0012499955,0.009603028],"genre_scores_gemma":[0.9585715,0.000007457185,0.040334027,0.000032103235,0.00018725352,0.00005274132,0.00002789064,0.000045349854,0.00074166805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991894,0.0000054378447,0.0002801024,0.00016598149,0.00008194743,0.00027714082],"domain_scores_gemma":[0.9995794,0.000033860957,0.000036305075,0.00022115714,0.000065009626,0.00006424918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008123181,0.00016066064,0.00020992634,0.00007538011,0.00007318705,0.000028059865,0.000109391025,0.0000914488,0.000006715339],"category_scores_gemma":[0.000008399682,0.0001567141,0.00005838298,0.0001344203,0.0000052824985,0.0002583138,0.000006977013,0.000057885434,0.000022779555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007960856,0.000010653346,0.000024970956,0.0004532113,0.000022773907,0.0000027212598,0.00017864724,0.96963245,0.004572194,0.009976289,0.0013594781,0.013758655],"study_design_scores_gemma":[0.00043058954,0.000043338714,0.000012274434,0.00017244148,0.000013961909,0.000016323325,0.0006003251,0.98508435,0.010706579,0.000059504422,0.0025814835,0.0002788232],"about_ca_topic_score_codex":0.0000056156628,"about_ca_topic_score_gemma":0.0000082463885,"teacher_disagreement_score":0.95569736,"about_ca_system_score_codex":0.00016521438,"about_ca_system_score_gemma":0.00000804114,"threshold_uncertainty_score":0.63906157},"labels":[],"label_agreement":null},{"id":"W2138300363","doi":"10.1155/2011/190461","title":"Optimal Multiuser Zero Forcing with Per-Antenna Power Constraints for Network MIMO Coordination","year":2011,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Alberta","keywords":"Precoding; MIMO; Computer science; Telecommunications link; Antenna (radio); Mathematical optimization; Maximization; Zero-forcing precoding; Duality (order theory); Gradient descent; Algorithm; Topology (electrical circuits); Mathematics; Telecommunications; Artificial neural network; Channel (broadcasting)","score_opus":0.031466768944091124,"score_gpt":0.24645709580673075,"score_spread":0.21499032686263964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138300363","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":[0.034679234,0.0021198299,0.9601332,0.00007922977,0.00042853036,0.00044030722,0.0000049324135,0.00015145261,0.001963287],"genre_scores_gemma":[0.9016171,0.0011468009,0.09685749,0.00004684928,0.00016604345,0.000045773773,0.000013892242,0.00007295164,0.00003306783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988282,0.000088067856,0.0004376816,0.00016337037,0.00010933179,0.00037336384],"domain_scores_gemma":[0.99872,0.0002691539,0.00022755592,0.00046415618,0.00019651181,0.00012262847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043583938,0.00023050369,0.0002669352,0.00010799302,0.0006919156,0.00010321213,0.0003321619,0.00009138182,0.000012043465],"category_scores_gemma":[0.000009668895,0.00020781436,0.00006259153,0.00019483594,0.0001357087,0.00033150127,0.000056334942,0.00041869047,0.0000023110742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043886784,0.00023164676,0.012073761,0.0001157812,0.0006410445,0.000020786558,0.006837422,0.83953214,0.0016546639,0.0106062675,0.0010824208,0.12676518],"study_design_scores_gemma":[0.0017177652,0.00034704647,0.000738385,0.001107483,0.00007796507,0.00031702925,0.00064046594,0.98805076,0.00009933806,0.00025099996,0.0060899965,0.00056276337],"about_ca_topic_score_codex":0.0000018752871,"about_ca_topic_score_gemma":0.000014555684,"teacher_disagreement_score":0.8669379,"about_ca_system_score_codex":0.000079433594,"about_ca_system_score_gemma":0.000018787663,"threshold_uncertainty_score":0.8474424},"labels":[],"label_agreement":null},{"id":"W2138348200","doi":"10.1109/wcsp.2013.6677120","title":"Performance improvements of interference alignment with multiuser diversity in cognitive radio networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cognitive radio; Interference (communication); Computer science; Computer network; Quality of service; Channel (broadcasting); Co-channel interference; Diversity scheme; Scheme (mathematics); Signal-to-noise ratio (imaging); Spectral efficiency; Telecommunications; Electronic engineering; Fading; Wireless; Engineering; Mathematics","score_opus":0.010712977265557646,"score_gpt":0.1971248885464197,"score_spread":0.18641191128086207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138348200","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":[0.6129758,0.000013997544,0.3848015,0.0000010844497,0.000044998884,0.00030911213,9.330675e-7,0.000038805363,0.001813779],"genre_scores_gemma":[0.99739844,0.000031800384,0.0023529564,0.000007824978,0.000006713236,0.000031287105,0.000004244704,0.000009499286,0.00015724178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957734,0.000006166341,0.00013443633,0.000092744725,0.000059037233,0.0001302711],"domain_scores_gemma":[0.9998004,0.000015814392,0.000030102196,0.000075696815,0.000051282157,0.000026746126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032772372,0.000085093896,0.00010724538,0.000042589385,0.000018159355,0.000004810865,0.00006537156,0.000029960722,0.00008112972],"category_scores_gemma":[0.0000026423802,0.000071723116,0.000008362746,0.000093881616,0.00001817056,0.0002950809,0.00006159514,0.00005599158,0.00000711584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017639575,0.000024275845,0.16012739,0.00004736347,0.000029579965,5.3213455e-7,0.00058264256,0.8340625,0.00054304354,0.0000055769724,0.000044547887,0.0045148716],"study_design_scores_gemma":[0.00084179686,0.00008216251,0.03323059,0.00016408887,0.0000058265864,5.57557e-7,0.00038838276,0.9598694,0.0052906387,0.0000021965948,0.0000012076101,0.00012315388],"about_ca_topic_score_codex":0.00015719494,"about_ca_topic_score_gemma":0.000054643224,"teacher_disagreement_score":0.38442266,"about_ca_system_score_codex":0.000064142514,"about_ca_system_score_gemma":0.00000255925,"threshold_uncertainty_score":0.29247838},"labels":[],"label_agreement":null},{"id":"W2138544517","doi":"10.1109/icc.2009.5198804","title":"Capacity and Performance of Adaptive MIMO System Based on Beam-Nulling","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; Beam (structure); Interference (communication); MIMO; Computer science; Subspace topology; Signal-to-noise ratio (imaging); Bit error rate; Adaptive beamformer; Algorithm; Electronic engineering; Physics; Telecommunications; Optics; Engineering; Channel (broadcasting); Decoding methods","score_opus":0.010394062727894171,"score_gpt":0.18149552682728193,"score_spread":0.17110146409938776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138544517","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":[0.4231031,0.000058123132,0.56291085,0.000006082235,0.0000847863,0.0001852428,0.0000042668958,0.0002666136,0.013380932],"genre_scores_gemma":[0.9814993,0.0000058314677,0.018420992,0.000011138463,0.000020712665,0.0000036135323,0.0000015812982,0.000010464229,0.000026360403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995702,0.0000072409953,0.00015674553,0.00009308244,0.00007055541,0.000102191465],"domain_scores_gemma":[0.99975985,0.000024290588,0.0000300631,0.000118228585,0.00003573749,0.0000318142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006640834,0.00009136914,0.00013581726,0.00006130161,0.000025131325,0.0000047726003,0.000035539084,0.00004356417,0.0000031971153],"category_scores_gemma":[0.0000053545987,0.00008551602,0.00001523309,0.00008935806,0.000010481257,0.00010301245,0.0000023098796,0.000056201723,0.0000033878273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014579838,0.000005407259,0.00021025365,0.00012000581,0.0000035592755,3.190836e-7,0.00005261985,0.99619645,0.0019425505,0.00050178054,0.000010276447,0.0009422198],"study_design_scores_gemma":[0.00018931476,0.00014044848,0.00071580114,0.00019166284,0.0000043951263,0.0000018038595,0.000058778496,0.9710766,0.027522864,0.0000029278417,0.0000074140808,0.000087967775],"about_ca_topic_score_codex":0.000005079365,"about_ca_topic_score_gemma":0.0000013254867,"teacher_disagreement_score":0.5583962,"about_ca_system_score_codex":0.000057902434,"about_ca_system_score_gemma":0.0000037134942,"threshold_uncertainty_score":0.34872422},"labels":[],"label_agreement":null},{"id":"W2138726333","doi":"10.1109/allerton.2008.4797589","title":"On asymptotics of Tomlinson-Harashima precoding with channel uncertainty","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Channel (broadcasting); Control theory (sociology); Zero-forcing precoding; Feed forward; Gaussian; Mathematics; Computer science; Matrix (chemical analysis); Gaussian noise; Applied mathematics; Algorithm; Telecommunications; Engineering; MIMO; Physics; Artificial intelligence","score_opus":0.012588798483734655,"score_gpt":0.20095128258667136,"score_spread":0.1883624841029367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138726333","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":[0.18222857,0.000042597694,0.7968535,0.000009864954,0.00016194298,0.00021894251,0.000006168838,0.0003522084,0.020126246],"genre_scores_gemma":[0.9890388,0.00004363781,0.01044208,0.000013042792,0.000033520737,0.000008994765,0.0000064712963,0.000030981002,0.00038247203],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994841,0.00000679421,0.00016396708,0.00010594897,0.00009846134,0.00014068368],"domain_scores_gemma":[0.9996661,0.00004774646,0.000033867367,0.00016171666,0.000052422183,0.000038132417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034464363,0.00011008295,0.00014872394,0.000065635075,0.000031528783,0.000003151505,0.000062928884,0.000044102064,0.00002508905],"category_scores_gemma":[0.000017198243,0.00009152485,0.00002047007,0.00014402276,0.000020334022,0.00009783015,0.0000070022857,0.000062000356,0.000012799336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010666253,0.00001182322,0.00019204666,0.00003651894,0.00001604999,0.0000022474094,0.00018744616,0.9983067,0.00033343807,0.0005824564,0.0001784293,0.00014216344],"study_design_scores_gemma":[0.00066366745,0.0001694935,0.00036583777,0.00013475612,0.000009117731,0.000026241107,0.000103133214,0.97471815,0.023317488,0.000107231244,0.00011360951,0.00027127308],"about_ca_topic_score_codex":0.000007874597,"about_ca_topic_score_gemma":0.000012534272,"teacher_disagreement_score":0.80681026,"about_ca_system_score_codex":0.000057499517,"about_ca_system_score_gemma":0.0000100627285,"threshold_uncertainty_score":0.37322754},"labels":[],"label_agreement":null},{"id":"W2138855354","doi":"10.1109/ccece.2004.1344996","title":"Effect of oversimplifying the simulated indoor propagation on the deterministic MIMO capacity","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Channel capacity; Computer science; Electronic engineering; Radio propagation; Channel (broadcasting); Ray tracing (physics); Reflection (computer programming); Multipath propagation; Matrix (chemical analysis); Rayleigh fading; Spatial correlation; Radio frequency; Fading; Algorithm; Topology (electrical circuits); Telecommunications; Physics; Engineering; Optics; Electrical engineering; Materials science","score_opus":0.011362704979476513,"score_gpt":0.22675498082814602,"score_spread":0.21539227584866952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138855354","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":[0.81176174,0.000012227753,0.18406893,0.000044215732,0.00015084285,0.00079489633,0.000003153605,0.00017928137,0.0029847065],"genre_scores_gemma":[0.9996864,0.0000016134342,0.00021266636,0.000021312182,0.000023572919,0.000013856815,0.00000231661,0.000017976392,0.00002024362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949455,0.000053059783,0.0001617497,0.00008080054,0.00009876292,0.000111101755],"domain_scores_gemma":[0.9993148,0.00038303173,0.000046641326,0.0002122193,0.00002726792,0.000016073327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002112906,0.000104104394,0.00010562899,0.00002850997,0.000075367585,0.00001289734,0.00009707942,0.00004402145,0.000010054838],"category_scores_gemma":[0.00017538297,0.000053539967,0.00003399612,0.00015252964,0.00003218619,0.00006923735,0.000010438555,0.00010474219,0.000016401817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011695066,0.0000043084838,0.000035214507,0.00006212867,0.000012718279,4.5550658e-7,0.0001928772,0.9916715,0.0065726438,0.0007688985,0.000009520908,0.0006580589],"study_design_scores_gemma":[0.0010884701,0.00034954416,0.00032890314,0.00017952092,0.000044450535,0.0000093087,0.00008828822,0.46692067,0.5304022,0.0003421875,0.000044389082,0.0002020731],"about_ca_topic_score_codex":0.000024291969,"about_ca_topic_score_gemma":0.000008054822,"teacher_disagreement_score":0.5247508,"about_ca_system_score_codex":0.00008518252,"about_ca_system_score_gemma":0.000006262786,"threshold_uncertainty_score":0.21832965},"labels":[],"label_agreement":null},{"id":"W2139041587","doi":"10.1109/wcl.2014.032814.130888","title":"Frequency and Power Allocation for Energy Efficient OFDMA Systems with Proportional Rate Constraints","year":2014,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematical optimization; Computer science; Base station; Computational complexity theory; Power (physics); Convergence (economics); Energy (signal processing); Frequency-division multiple access; Orthogonal frequency-division multiplexing; Rate of convergence; Efficient energy use; Orthogonal frequency-division multiple access; Algorithm; Mathematics; Telecommunications; Engineering","score_opus":0.009087603806520557,"score_gpt":0.20965229961942258,"score_spread":0.20056469581290204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139041587","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":[0.07510533,0.00023749314,0.92272776,0.00078151346,0.00020599466,0.00044219664,0.000026970245,0.00020964461,0.0002631167],"genre_scores_gemma":[0.98486865,0.00006906929,0.014036783,0.0001332949,0.000037124577,0.0006974885,0.00009452897,0.000046273904,0.000016806294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991494,0.000089782516,0.00030796952,0.00017525944,0.0000951229,0.00018249631],"domain_scores_gemma":[0.9988319,0.00016867848,0.000118551434,0.00067536626,0.00014705479,0.000058416917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020776669,0.0001592973,0.0001751537,0.00010064784,0.00018150048,0.00005182234,0.00025754306,0.00005826283,0.0000020428097],"category_scores_gemma":[0.0000135996315,0.00015452637,0.000023517608,0.00014085154,0.00023003724,0.00012510964,0.00001878995,0.000078420504,0.0000018818652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053254685,0.00003068676,0.00024582236,0.00008772139,0.00005861525,2.2657565e-7,0.00017958789,0.9011613,0.07348474,0.023017371,0.00024232996,0.0014862343],"study_design_scores_gemma":[0.00059897575,0.000022125847,0.00023199865,0.00018005587,0.000027907096,0.00001578609,0.00009672726,0.99587,0.0018939559,0.000036155852,0.000740808,0.00028548343],"about_ca_topic_score_codex":0.00002674615,"about_ca_topic_score_gemma":0.000024133133,"teacher_disagreement_score":0.9097633,"about_ca_system_score_codex":0.0000885417,"about_ca_system_score_gemma":0.000019521545,"threshold_uncertainty_score":0.6301402},"labels":[],"label_agreement":null},{"id":"W2139269142","doi":"10.1109/glocom.2010.5684208","title":"Single-Cell vs. Multicell MIMO Downlink Signalling Strategies with Imperfect CSI","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Telecommunications link; Precoding; Base station; Computer science; Spectral efficiency; MIMO; Channel state information; Transmitter; Multiplexing; Algorithm; Topology (electrical circuits); Control theory (sociology); Channel (broadcasting); Mathematics; Computer network; Telecommunications; Wireless; Combinatorics","score_opus":0.006683986007606298,"score_gpt":0.19542764396873624,"score_spread":0.18874365796112993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139269142","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":[0.25349125,0.00009565588,0.7042292,0.000012695394,0.00039072754,0.0003327121,0.0000032533123,0.0010257319,0.04041879],"genre_scores_gemma":[0.90200835,0.000010230624,0.097268075,0.000013544567,0.0001343355,0.000017514414,0.0000127496905,0.00007160548,0.0004635715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991095,0.000011836988,0.00023400232,0.00022300394,0.00011607708,0.00030560192],"domain_scores_gemma":[0.99944365,0.00008331733,0.000044919434,0.00025468518,0.00008289882,0.0000905262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008559611,0.00023338133,0.0001928779,0.00008099605,0.000059483307,0.00011761915,0.00013528709,0.00012610186,0.00014334999],"category_scores_gemma":[0.000010256226,0.0001930713,0.000036707985,0.00016185894,0.000034213837,0.00047667665,0.000014688911,0.00029999556,0.00008795566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007840605,0.00002040748,0.000058639147,0.000067956484,0.000010122415,0.000004189838,0.00013200716,0.5627868,0.43642226,0.00015237714,0.000034213615,0.00030319687],"study_design_scores_gemma":[0.0009897087,0.00015822497,0.000021221915,0.000050965806,0.000033238503,0.000014559797,0.0005527621,0.59111303,0.40431076,0.000045668527,0.0021078263,0.00060199486],"about_ca_topic_score_codex":0.000025673557,"about_ca_topic_score_gemma":0.00021746947,"teacher_disagreement_score":0.64851713,"about_ca_system_score_codex":0.000033287284,"about_ca_system_score_gemma":0.000023075667,"threshold_uncertainty_score":0.7873219},"labels":[],"label_agreement":null},{"id":"W2139907053","doi":"10.1109/vetecf.2008.48","title":"Accounting for Wind Effects on Fixed Wireless Channels in Suburban Macrocell Environments","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macrocell; Wireless; Doppler effect; Wind speed; Spectral line; Computer science; Environmental science; Meteorology; Electronic engineering; Telecommunications; Physics; Engineering; Base station","score_opus":0.00782900789561587,"score_gpt":0.19442009745971942,"score_spread":0.18659108956410356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139907053","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":[0.78611994,0.00005839398,0.21142672,0.0000075315575,0.00033549825,0.0006631559,0.0000025419886,0.00014342657,0.0012427765],"genre_scores_gemma":[0.9968383,0.000024640856,0.0019721934,0.00003308046,0.00010572172,0.000060570877,0.000014857186,0.00005378718,0.0008969024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999311,0.000008543069,0.0001773205,0.00017089401,0.00007952216,0.0002527746],"domain_scores_gemma":[0.99971503,0.00008964541,0.000026234202,0.00013015087,0.000005275442,0.000033690405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005783648,0.00014393163,0.00016187297,0.00008690405,0.00004576171,0.000008495364,0.00007376988,0.00007749602,0.000009447368],"category_scores_gemma":[0.000014124414,0.00015179698,0.000028372222,0.00009559235,0.000008740965,0.00015362779,0.0000112699,0.00007175928,0.00003927213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013637753,0.000024682064,0.0022914263,0.00016125676,0.000011110352,0.0000100108,0.00033154764,0.9639146,0.031431213,0.000042703374,0.00031972968,0.001448097],"study_design_scores_gemma":[0.0021533915,0.00007936111,0.0020065927,0.00016251513,0.000006564716,0.000008418997,0.00005306291,0.6292275,0.36438757,0.000047437068,0.0013902793,0.0004772574],"about_ca_topic_score_codex":0.0000059571225,"about_ca_topic_score_gemma":0.000003891329,"teacher_disagreement_score":0.33468702,"about_ca_system_score_codex":0.000113911534,"about_ca_system_score_gemma":0.0000029803691,"threshold_uncertainty_score":0.6190101},"labels":[],"label_agreement":null},{"id":"W2140273497","doi":"10.1109/vetecs.2007.483","title":"Downlink Scheduling for Multiple Antenna Systems with Dirty Paper Coding Via Genetic Algorithms","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dirty paper coding; Computer science; MIMO; Scheduling (production processes); Telecommunications link; Beamforming; Algorithm; Computational complexity theory; Coding (social sciences); Multi-user MIMO; Wireless; Real-time computing; Mathematical optimization; Precoding; Computer network; Mathematics; Telecommunications","score_opus":0.010062400708547569,"score_gpt":0.21884033416467225,"score_spread":0.20877793345612466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140273497","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":[0.005218604,0.000641191,0.99159646,0.000005861577,0.0005225849,0.0008236091,0.000008437296,0.0006300431,0.0005531906],"genre_scores_gemma":[0.66902965,0.000022129396,0.33045024,0.000013241894,0.00020924449,0.0000550416,0.000015655334,0.0000668896,0.0001378925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988258,0.000008095228,0.00037805925,0.00024199672,0.00012438628,0.00042164567],"domain_scores_gemma":[0.9993355,0.00014558218,0.000056623536,0.0002314869,0.0001289664,0.000101798134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002216426,0.00021173916,0.00023820034,0.000096866934,0.00009433264,0.000043854354,0.00009904636,0.00010542057,0.000008031293],"category_scores_gemma":[0.00003026196,0.00017639372,0.000037814454,0.00018909274,0.000018703946,0.00024229323,0.0000131724055,0.000096328135,0.0000132695195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019273648,0.000010523271,0.0009883905,0.00021981548,0.000047037756,0.0000064348014,0.00010318894,0.96601295,0.029636258,0.00008792111,0.000014566842,0.0028536373],"study_design_scores_gemma":[0.00080642564,0.000040682215,0.0002546526,0.00011290678,0.000017645303,0.00003443097,0.0002762206,0.9953329,0.00242121,0.0000081032595,0.0004030665,0.00029174154],"about_ca_topic_score_codex":0.000039163657,"about_ca_topic_score_gemma":0.00007208936,"teacher_disagreement_score":0.6638111,"about_ca_system_score_codex":0.000113303686,"about_ca_system_score_gemma":0.000008178308,"threshold_uncertainty_score":0.71931267},"labels":[],"label_agreement":null},{"id":"W2140372250","doi":"10.1109/isit.2008.4595051","title":"Optimal precoder design for correlated MIMO systems using decision feedback receivers","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transmitter; MIMO; Channel state information; Fading; Precoding; Computer science; Convex optimization; Channel (broadcasting); Control theory (sociology); Multi-user MIMO; Transmitter power output; Wireless; Communications system; Electronic engineering; Mathematics; Telecommunications; Regular polygon; Engineering","score_opus":0.038936689918306566,"score_gpt":0.24334786681798495,"score_spread":0.2044111768996784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140372250","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":[0.022288594,0.00036123148,0.97372687,0.0000015659858,0.0012159053,0.0010116295,0.000006953431,0.0005302789,0.00085698516],"genre_scores_gemma":[0.35026073,0.00008522846,0.6482447,0.000004702989,0.00008022265,0.00004786011,0.000016274716,0.000091054564,0.0011692358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989923,0.000025733465,0.0003591261,0.00022189117,0.00011549144,0.00028541306],"domain_scores_gemma":[0.99931914,0.00019973345,0.00005725773,0.00020650536,0.00013550943,0.0000818578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001331981,0.00019149973,0.00023772196,0.00011412648,0.00013718523,0.000025448291,0.0001060106,0.00016377558,0.000031136635],"category_scores_gemma":[0.000059256632,0.00019109575,0.00005557376,0.00021802993,0.000020710298,0.0003462813,0.0000127617695,0.0000816357,0.00004171998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043389515,0.000007658353,0.000040066287,0.00003534411,0.000029985482,0.000003105728,0.0001393586,0.9939966,0.0017823144,0.000015675238,0.0036374782,0.00026902152],"study_design_scores_gemma":[0.0007275587,0.00003658552,0.000011627317,0.00009551751,0.00001765999,0.00008384841,0.000106628184,0.9961837,0.0018049828,0.0000071992017,0.0006873839,0.00023730965],"about_ca_topic_score_codex":0.000017817445,"about_ca_topic_score_gemma":0.000001322829,"teacher_disagreement_score":0.32797214,"about_ca_system_score_codex":0.00022367325,"about_ca_system_score_gemma":0.000025675834,"threshold_uncertainty_score":0.7792659},"labels":[],"label_agreement":null},{"id":"W2140721415","doi":"10.1109/glocom.2007.604","title":"A Capacity-Achieving Precoding Scheme Based on Channel Inversion Regularization with Optimal Power Allocation for MIMO Broadcast Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; MIMO; Dirty paper coding; Zero-forcing precoding; Computer science; Channel (broadcasting); Mathematical optimization; Channel capacity; Multi-user MIMO; Optimization problem; Inversion (geology); Control theory (sociology); Mathematics; Algorithm; Telecommunications","score_opus":0.014499056576334018,"score_gpt":0.21515782677073997,"score_spread":0.20065877019440595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140721415","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":[0.019055778,0.000018105842,0.9768421,0.00006824042,0.00034513636,0.0009459365,0.000005775377,0.0005136382,0.0022052855],"genre_scores_gemma":[0.8372875,0.000002563512,0.16205733,0.00006958839,0.00010775859,0.000060966428,0.000099713776,0.00008091395,0.00023368167],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879855,0.000016649665,0.0003054826,0.00031331214,0.00019262184,0.00037341053],"domain_scores_gemma":[0.999303,0.00008490974,0.00009360637,0.00025014332,0.00016798594,0.00010037274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038217148,0.0002495747,0.00019290413,0.00029396382,0.00014848012,0.000049797232,0.000098690754,0.00015134932,0.000017971464],"category_scores_gemma":[0.000054029642,0.00024412457,0.000047488877,0.00035698546,0.000022558144,0.00047110135,0.000011689033,0.00011901252,0.000007915677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107603395,0.000029065217,0.00006345911,0.00012273334,0.000017945898,7.4808804e-7,0.00033642692,0.98579645,0.01242856,0.00047871005,0.0000885002,0.00052978593],"study_design_scores_gemma":[0.0009016923,0.00019719634,0.000041703184,0.00023066408,0.000012230119,0.0000034057543,0.00019390888,0.9532203,0.044625856,0.000013538709,0.00025218618,0.00030728258],"about_ca_topic_score_codex":0.000005469292,"about_ca_topic_score_gemma":0.000007569928,"teacher_disagreement_score":0.8182317,"about_ca_system_score_codex":0.00025077738,"about_ca_system_score_gemma":0.000015810912,"threshold_uncertainty_score":0.9955111},"labels":[],"label_agreement":null},{"id":"W2140973464","doi":"10.1109/wcnc.2008.183","title":"Linear Multiuser Transceivers: Robustness via Worst Scenario MSE Approach","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Robustness (evolution); Mathematical optimization; Minimax; Computer science; Iterative method; Bounded function; Transceiver; Mathematics; Wireless; Telecommunications","score_opus":0.01774577100849241,"score_gpt":0.19940474135720654,"score_spread":0.18165897034871414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140973464","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":[0.010783262,0.00010233923,0.97561413,0.000008192118,0.0001983308,0.00027292885,0.0000025192849,0.000824635,0.012193641],"genre_scores_gemma":[0.8318849,0.000054281467,0.16601285,0.000013972742,0.00012052129,0.000025371188,0.000026193278,0.000066142115,0.0017957628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991634,0.000014105782,0.00022056178,0.00020228564,0.00011479314,0.00028486695],"domain_scores_gemma":[0.999583,0.000015880665,0.000019729261,0.0002454543,0.000049640206,0.00008628866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052325686,0.00018320468,0.00018856826,0.0000863541,0.0000948599,0.000008485299,0.00012691651,0.00011603955,0.00007764063],"category_scores_gemma":[0.0000063890097,0.00017844468,0.000057853074,0.00024801193,0.00003726876,0.0003217009,0.000006853531,0.00014442897,0.00006841543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005741102,0.000030292993,0.00016698566,0.00004961698,0.000019633808,0.000007795799,0.0005523492,0.99754256,0.0009526174,0.000021213888,0.0002908374,0.00036033712],"study_design_scores_gemma":[0.0005491762,0.000008553701,0.00008496003,0.000013644201,0.000008340967,0.000043015814,0.00010203092,0.9961807,0.002147039,0.0000014788209,0.0006126257,0.00024843775],"about_ca_topic_score_codex":0.000028837641,"about_ca_topic_score_gemma":0.000016837943,"teacher_disagreement_score":0.82110167,"about_ca_system_score_codex":0.0000780935,"about_ca_system_score_gemma":0.0000099184035,"threshold_uncertainty_score":0.7276763},"labels":[],"label_agreement":null},{"id":"W2141118064","doi":"10.1109/isit.2011.6033899","title":"Degrees of freedom of two-user MIMO networks with random medium access control mechanism","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Upper and lower bounds; Computer science; Degrees of freedom (physics and chemistry); Computer network; Transmission (telecommunications); Interference (communication); MIMO; Random access; Interference alignment; Point (geometry); Access network; Topology (electrical circuits); Telecommunications; Mathematics","score_opus":0.012552063966129293,"score_gpt":0.21334630256103546,"score_spread":0.20079423859490617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141118064","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":[0.0026302964,0.00015220951,0.99126524,0.0000022299832,0.0003294972,0.00041025912,0.0000052165165,0.00015325182,0.005051825],"genre_scores_gemma":[0.94459754,0.000024664378,0.05513528,0.000005551504,0.00007208794,0.00003289685,0.0000036308677,0.000042756983,0.0000855791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920154,0.000024612538,0.00035277524,0.00012214738,0.000120218945,0.00017869959],"domain_scores_gemma":[0.9992836,0.00007256551,0.00011800492,0.00025761404,0.00021518937,0.000053011052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316659,0.00015296262,0.00037789895,0.00007787052,0.000014163299,0.000006260824,0.00021895913,0.000076764925,0.00015557148],"category_scores_gemma":[0.00002272827,0.00011668288,0.00004287493,0.00015337403,0.000041211548,0.00027765415,0.000022503002,0.00007431018,0.00000173965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013391698,0.000016650185,0.0010625888,0.00005257405,0.00010531713,0.0000013018599,0.00011512966,0.99429774,0.000975899,0.0030873287,0.00010237014,0.00004916218],"study_design_scores_gemma":[0.007875548,0.000090764035,0.00040368174,0.00010932899,0.00008641473,0.0000034267114,0.0000885448,0.96760434,0.023337869,0.00015941767,0.000014871586,0.00022578635],"about_ca_topic_score_codex":0.00021555158,"about_ca_topic_score_gemma":0.0003563831,"teacher_disagreement_score":0.94196725,"about_ca_system_score_codex":0.000014388492,"about_ca_system_score_gemma":0.000010796799,"threshold_uncertainty_score":0.47581896},"labels":[],"label_agreement":null},{"id":"W2141334121","doi":"10.1109/tcomm.2011.02.090283","title":"Minimizing Sum-MSE Implies Identical Downlink and Dual Uplink Power Allocations","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Duality (order theory); Mathematical optimization; Computer science; Convex optimization; Power (physics); Constraint (computer-aided design); Regular polygon; Iterative method; Optimization problem; Mathematics; Computer network; Discrete mathematics","score_opus":0.037152539709148245,"score_gpt":0.25501200758629167,"score_spread":0.21785946787714341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141334121","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":[0.0018299653,0.00035727958,0.988525,0.0002209911,0.00032218284,0.0003464936,0.00016787005,0.0006338592,0.0075963666],"genre_scores_gemma":[0.92821366,0.00073791103,0.07039969,0.000038451377,0.000013986564,0.000257951,0.00004427349,0.000056991656,0.00023708714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989513,0.000058739024,0.00044874204,0.00020280159,0.00009617072,0.00024225735],"domain_scores_gemma":[0.9981626,0.00027444676,0.00005257338,0.0012742319,0.00010857979,0.00012754263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011256018,0.00020842017,0.00019031084,0.00021960473,0.00046827854,0.000049096954,0.0003464778,0.00013299542,0.00033941783],"category_scores_gemma":[0.000014673187,0.00023741889,0.00007301834,0.00031702445,0.00020043987,0.00038185413,0.000008153003,0.00038913012,0.00012838314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028079213,0.0057245987,0.0005734091,0.0007292484,0.0033280884,0.000034075114,0.07530782,0.67748606,0.046996146,0.07060553,0.014367309,0.10456694],"study_design_scores_gemma":[0.0051919925,0.0006843568,0.0070027965,0.001065569,0.0012238366,0.0005775529,0.011767005,0.8979528,0.03757723,0.0073261727,0.024554733,0.0050759627],"about_ca_topic_score_codex":0.000039198312,"about_ca_topic_score_gemma":0.00018019768,"teacher_disagreement_score":0.9263837,"about_ca_system_score_codex":0.00008167682,"about_ca_system_score_gemma":0.000026006473,"threshold_uncertainty_score":0.9681662},"labels":[],"label_agreement":null},{"id":"W2141438569","doi":"10.1109/glocom.2010.5683467","title":"Multicell Scheduling in Network MIMO","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Computer science; Scheduling (production processes); Telecommunications link; Subgradient method; Multi-user MIMO; Cellular network; Computer network; Precoding; Mathematical optimization; Mathematics; Channel (broadcasting)","score_opus":0.005692234310235534,"score_gpt":0.21019198146676898,"score_spread":0.20449974715653346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141438569","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":[0.19941092,0.00010635875,0.7720771,0.000012379233,0.001177991,0.00016858983,3.0253003e-7,0.00046756104,0.02657883],"genre_scores_gemma":[0.77814376,0.0000057154493,0.22149414,0.000010910586,0.00013450664,0.0000072875478,0.0000016449816,0.000018040451,0.00018398858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996099,0.0000039590327,0.00012679343,0.00007427042,0.000029776973,0.00015530415],"domain_scores_gemma":[0.9998035,0.000027173513,0.000009204565,0.00011932364,0.000011572227,0.000029221355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007302144,0.00006267345,0.00006982957,0.000033077336,0.000012694611,0.00000993191,0.00005161329,0.000059453138,0.00007250455],"category_scores_gemma":[0.00002022357,0.00006461773,0.000011272691,0.0001331848,0.000005585566,0.000103928294,0.000008792903,0.00015876755,0.00007491114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.548634e-7,0.0000026750138,0.0011850151,0.000009432377,0.0000014129114,0.000001060621,0.00003163705,0.9896068,0.007887295,0.000631435,0.000043091208,0.00059958856],"study_design_scores_gemma":[0.00016041569,0.0000015175597,0.00022222783,0.000011564856,9.5341494e-7,8.847642e-7,0.000018499337,0.9965953,0.0016071495,0.0000722534,0.0012209758,0.000088221735],"about_ca_topic_score_codex":0.000009861344,"about_ca_topic_score_gemma":0.00031938712,"teacher_disagreement_score":0.57873285,"about_ca_system_score_codex":0.000013126772,"about_ca_system_score_gemma":0.000002796575,"threshold_uncertainty_score":0.26350346},"labels":[],"label_agreement":null},{"id":"W2141860167","doi":"10.1109/acssc.2008.5074505","title":"Feedback requirements in MIMO broadcast channels: An asymptotic analysis","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; MIMO; Channel state information; Channel capacity; Base station; Control theory (sociology); Signal-to-noise ratio (imaging); Mathematics; Topology (electrical circuits); Constraint (computer-aided design); Channel (broadcasting); Power (physics); Computer science; Mathematical optimization; Telecommunications; Wireless; Combinatorics; Physics; Statistics","score_opus":0.02716546519879513,"score_gpt":0.24835772250213478,"score_spread":0.22119225730333966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141860167","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":[0.32314542,0.00020636542,0.662363,0.000011796415,0.00031999947,0.0002732887,0.0000035858886,0.0005278391,0.013148702],"genre_scores_gemma":[0.99150056,0.00005636514,0.007605281,0.000017942692,0.000053511536,0.000017522456,0.000029903185,0.0000310766,0.0006878628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991181,0.00002359718,0.00029424884,0.00020125521,0.0001171169,0.00024568097],"domain_scores_gemma":[0.99957424,0.000011334788,0.000027107002,0.00027732583,0.00003306945,0.000076939315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078809324,0.00014021418,0.00022826203,0.00036330763,0.0000373855,0.000013918845,0.000110066714,0.00006466318,0.00014375204],"category_scores_gemma":[0.000012281904,0.000148044,0.000049824233,0.0010325676,0.000015785892,0.0004494432,0.000014912608,0.00006862881,0.00007893502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022410427,0.000024317205,0.0074719577,0.000012403911,0.00007432468,0.000010121927,0.00037857902,0.99111474,0.00041497967,0.00003741173,0.0000806745,0.0003782269],"study_design_scores_gemma":[0.0004739265,0.000027565598,0.0057950006,0.000016723314,0.000045117267,0.0000088210545,0.00017518885,0.99195796,0.0010473705,0.000029536879,0.00014394723,0.00027882817],"about_ca_topic_score_codex":0.000077355275,"about_ca_topic_score_gemma":0.00015840087,"teacher_disagreement_score":0.6683551,"about_ca_system_score_codex":0.00012366056,"about_ca_system_score_gemma":0.000006388246,"threshold_uncertainty_score":0.6037059},"labels":[],"label_agreement":null},{"id":"W2141996118","doi":"10.1109/vetecf.2008.117","title":"A Novel User Scheduling Strategy for Multiuser MIMO Systems with Random Unitary Beamforming","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; Scheduling (production processes); Unitary state; Computer science; MIMO; Mathematical optimization; Outage probability; Noma; Signal-to-noise ratio (imaging); Algorithm; Decoding methods; Telecommunications; Fading; Mathematics; Telecommunications link","score_opus":0.02466614891270863,"score_gpt":0.22663508440131608,"score_spread":0.20196893548860745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141996118","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":[0.029412143,0.00030498934,0.96725917,0.000003193493,0.0002916953,0.00097476394,0.00001385336,0.00055009325,0.0011901024],"genre_scores_gemma":[0.74212193,0.000024146777,0.2564316,0.00001074424,0.00017510222,0.00019173132,0.000035265275,0.000095351985,0.00091411907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990505,0.000007686268,0.00031835036,0.00019555548,0.000113181784,0.00031471392],"domain_scores_gemma":[0.9993437,0.00010401316,0.000048533508,0.00021090731,0.00021181868,0.00008105151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010037665,0.0002178763,0.0002804293,0.00010478062,0.00013268997,0.000026185791,0.000095717885,0.00009458745,0.000005928617],"category_scores_gemma":[0.000035567886,0.00018089027,0.000043948847,0.00018522839,0.000023661127,0.0004956703,0.000009960519,0.000100947684,0.000007724578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005484384,0.0000148075405,0.00014229355,0.00016325993,0.000059435697,0.0000028370569,0.0001460748,0.9962017,0.0028104782,0.00026544166,0.000082407896,0.0000564506],"study_design_scores_gemma":[0.0042626737,0.00005041993,0.00001964879,0.00012897472,0.00002133161,0.000079474914,0.00068856805,0.99169606,0.0016821406,0.0000027413053,0.0010467817,0.00032118673],"about_ca_topic_score_codex":0.0000993958,"about_ca_topic_score_gemma":0.000053917982,"teacher_disagreement_score":0.7127098,"about_ca_system_score_codex":0.00007421585,"about_ca_system_score_gemma":0.000029913941,"threshold_uncertainty_score":0.7376491},"labels":[],"label_agreement":null},{"id":"W2142350604","doi":"10.1155/2010/189157","title":"Resource Allocation in MU-OFDM Cognitive Radio Systems with Partial Channel State Information","year":2010,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; Channel state information; Subcarrier; Computer science; Transmitter; Quantization (signal processing); Cognitive radio; Channel (broadcasting); Transmitter power output; Bit error rate; Electronic engineering; Wireless; Telecommunications; Algorithm; Engineering","score_opus":0.014032486606604886,"score_gpt":0.22887937718421494,"score_spread":0.21484689057761006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142350604","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":[0.5004407,0.0029971204,0.48937514,0.00040098277,0.0011690503,0.0010760973,0.000015415646,0.000320222,0.00420523],"genre_scores_gemma":[0.9971632,0.0017311047,0.000741683,0.000029881156,0.00017819111,0.00005019205,0.000057675006,0.00003167856,0.000016401644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989227,0.00013433749,0.00047465687,0.000091838236,0.00014383487,0.00023264092],"domain_scores_gemma":[0.99898815,0.0002180351,0.00023339322,0.00034535278,0.000118935444,0.00009614199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050163706,0.0001645921,0.00019367137,0.00022050906,0.0003126986,0.0002082989,0.0002288493,0.000075320895,0.000001469569],"category_scores_gemma":[0.000014152882,0.0001528339,0.00002006336,0.00032018468,0.000066418,0.0006927294,0.000039559392,0.0008067249,0.0000048605502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009490234,0.0000464667,0.0022149,0.000052638574,0.00006196114,0.0000056258314,0.003326472,0.91672075,0.00026980496,0.00075891055,0.00008524641,0.07636235],"study_design_scores_gemma":[0.00093381293,0.00007482337,0.0007411939,0.000789641,0.000015733176,0.00017138616,0.0007468509,0.9856259,0.00008098994,0.000028979293,0.010537079,0.00025357187],"about_ca_topic_score_codex":0.000011546679,"about_ca_topic_score_gemma":0.00008942012,"teacher_disagreement_score":0.49672246,"about_ca_system_score_codex":0.00006856601,"about_ca_system_score_gemma":0.000022022943,"threshold_uncertainty_score":0.62323856},"labels":[],"label_agreement":null},{"id":"W2142554374","doi":"10.1109/cnsr.2009.31","title":"Angle-of-Departure-Aided Opportunistic Space-Division Multiple Access","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Division (mathematics); Computer science; Base station; Throughput; Selection (genetic algorithm); Transmission (telecommunications); Broadcasting (networking); Channel (broadcasting); MIMO; Space-division multiple access; Algorithm; Set (abstract data type); Selection algorithm; Telecommunications; Computer network; Wireless; Mathematics; Artificial intelligence; Arithmetic","score_opus":0.024338608673260723,"score_gpt":0.26457596387655935,"score_spread":0.24023735520329864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142554374","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":[0.00877918,0.000121160025,0.97034544,0.000058302638,0.00026730588,0.0002697448,0.000009399928,0.0005967032,0.019552791],"genre_scores_gemma":[0.98403156,0.000031547515,0.015353189,0.000030324922,0.000041189818,0.0000054104216,0.000032692416,0.000024344063,0.00044971445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993031,0.000011750977,0.00025938568,0.00013846326,0.0001097605,0.00017756084],"domain_scores_gemma":[0.9995024,0.000054380773,0.000049968217,0.00025666226,0.00005692162,0.00007962927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006268213,0.00013539643,0.00019083428,0.00009323034,0.000027202894,0.000024431922,0.0001535008,0.000073307405,0.00007846898],"category_scores_gemma":[0.00008190067,0.00012735129,0.00004109331,0.00019755327,0.000011492788,0.00033339698,0.00001934191,0.000067926354,0.000018838586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011721545,0.000047539143,0.0016317548,0.00009035943,0.000019033074,0.0000115666635,0.000103780134,0.95453066,0.024617974,0.00253285,0.0037284836,0.01267428],"study_design_scores_gemma":[0.00076778635,0.00008565453,0.0031423366,0.00010026157,0.000017479653,0.000008066726,0.000052497366,0.96245664,0.029463278,0.00082813826,0.0026779275,0.00039995284],"about_ca_topic_score_codex":0.000009218118,"about_ca_topic_score_gemma":0.000015084335,"teacher_disagreement_score":0.9752524,"about_ca_system_score_codex":0.000038033064,"about_ca_system_score_gemma":0.000009183576,"threshold_uncertainty_score":0.5193235},"labels":[],"label_agreement":null},{"id":"W2142717204","doi":"10.1109/jsac.2014.2328171","title":"Min Flow Rate Maximization for Software Defined Radio Access Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"Huawei Technologies","keywords":"Computer science; Backhaul (telecommunications); Computer network; Radio access network; Software-defined networking; Wireless network; Base station; Cloud computing; Access network; Wireless; Distributed computing; Telecommunications","score_opus":0.024414862608522325,"score_gpt":0.27329429164677055,"score_spread":0.24887942903824822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142717204","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012853043,0.00038072534,0.9963647,0.00028049748,0.0005619615,0.0004451515,0.000012813351,0.0002828462,0.00038597194],"genre_scores_gemma":[0.8243576,0.001355689,0.17321515,0.00011964158,0.00031020827,0.00021108743,0.00024059959,0.000117778996,0.00007219411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998559,0.00028778543,0.00058501906,0.00014949894,0.0001046891,0.00031401523],"domain_scores_gemma":[0.9975457,0.00092080503,0.00019702702,0.0008091324,0.00042188505,0.00010544628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046679095,0.00020657778,0.00027198368,0.00032047278,0.00031927225,0.00016088363,0.0008798808,0.00015003083,0.000010452184],"category_scores_gemma":[0.00071410486,0.00022035226,0.00006373925,0.000878405,0.0000315771,0.00044599565,0.000036259076,0.0005555144,0.000006008065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025350213,0.000053178173,0.0004690995,0.00001566926,0.000029012077,4.0207735e-7,0.00007184677,0.98949796,0.00012305733,0.0002170632,0.0020054337,0.0074919546],"study_design_scores_gemma":[0.00092469883,0.000054015334,0.00078265765,0.00018251118,0.00002247759,0.000025150768,0.0000075803146,0.9934164,0.00019868345,0.00091440236,0.0032360784,0.00023531659],"about_ca_topic_score_codex":0.0000037472312,"about_ca_topic_score_gemma":0.00014651443,"teacher_disagreement_score":0.82314956,"about_ca_system_score_codex":0.0003114481,"about_ca_system_score_gemma":0.000048611906,"threshold_uncertainty_score":0.8985704},"labels":[],"label_agreement":null},{"id":"W2142892844","doi":"10.1007/s11235-009-9176-7","title":"Energy efficient virtual MIMO communication for wireless sensor networks","year":2009,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"","keywords":"MIMO; Computer science; Multi-user MIMO; 3G MIMO; Computer network; Wireless sensor network; Efficient energy use; Node (physics); Routing protocol; Wireless; Routing (electronic design automation); Telecommunications; Channel (broadcasting); Electrical engineering","score_opus":0.011025988795414915,"score_gpt":0.23106753519249673,"score_spread":0.22004154639708182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142892844","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":[0.0044577257,0.0040325294,0.98693264,0.00011850565,0.00035118317,0.00075261353,0.000012876366,0.0008914947,0.0024504596],"genre_scores_gemma":[0.99102336,0.000688484,0.0071648876,0.000060000526,0.00013116703,0.00030424687,0.00032726742,0.00006636322,0.00023421957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984194,0.00019671555,0.0007079559,0.00020750937,0.0001405928,0.00032783317],"domain_scores_gemma":[0.99759656,0.00028850243,0.00020952782,0.0015808998,0.0002356577,0.00008882478],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043948952,0.00024458647,0.00034436415,0.00014411582,0.00025693697,0.00009634176,0.0006399737,0.00019545028,0.0000037145956],"category_scores_gemma":[0.000023379645,0.000271562,0.00008208169,0.0003439628,0.00003643386,0.00016461778,0.000039695424,0.00017340448,0.000013002482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011686478,0.000039200888,0.0000058997334,0.000020672658,0.00002295973,1.0504285e-7,0.00017686948,0.969114,0.0014546919,0.015232253,0.00067020307,0.013251468],"study_design_scores_gemma":[0.00039382125,0.000054716777,0.000038007798,0.00010906258,0.000015487278,0.00001072301,0.00035799117,0.9907162,0.00046244846,0.00005430382,0.0074971793,0.00029002235],"about_ca_topic_score_codex":0.000033615568,"about_ca_topic_score_gemma":0.000018735453,"teacher_disagreement_score":0.98656565,"about_ca_system_score_codex":0.00024740605,"about_ca_system_score_gemma":0.000015050964,"threshold_uncertainty_score":0.99997365},"labels":[],"label_agreement":null},{"id":"W2142949625","doi":"10.1109/ccece.2008.4564614","title":"Switch loss and antenna directivity effects on MIMO antenna selection","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Antenna (radio); Antenna noise temperature; Antenna factor; Computer science; Antenna measurement; Directivity; 3G MIMO; Electronic engineering; Antenna efficiency; Antenna gain; Antenna array; Coaxial antenna; MIMO; Telecommunications; Acoustics; Omnidirectional antenna; Engineering; Physics; Beamforming","score_opus":0.009078286092622718,"score_gpt":0.1803930757273608,"score_spread":0.1713147896347381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142949625","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":[0.6327424,0.00028137607,0.3637717,0.00023059409,0.00040781393,0.00063953537,0.000008095489,0.0008299481,0.0010885068],"genre_scores_gemma":[0.99777365,0.00041560153,0.001336708,0.000100435376,0.00020629863,0.000057968376,0.000004321729,0.0000545846,0.000050436567],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831194,0.000009975909,0.00025128163,0.0005490946,0.00017213468,0.00070557906],"domain_scores_gemma":[0.9990018,0.000080948834,0.00004481836,0.000097262244,0.00020374017,0.0005714168],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000827811,0.00044063065,0.0004244555,0.00047620837,0.00020781474,0.00015378588,0.00015332885,0.00020184286,0.0000064630744],"category_scores_gemma":[0.000052091513,0.00046095168,0.00003794444,0.0005190472,0.000047417914,0.0003184689,0.00002434258,0.0005280195,0.000008986917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044302153,0.0004388528,0.0935633,0.00438577,0.0010258592,0.00091312453,0.008615192,0.03753128,0.20117253,0.18086898,0.0029175838,0.4681245],"study_design_scores_gemma":[0.0003857387,0.00034527652,0.01147388,0.00028594362,0.0000124960425,0.0002129119,0.0000073615965,0.984348,0.002027807,0.00014702111,0.00020198221,0.00055160176],"about_ca_topic_score_codex":0.00057127426,"about_ca_topic_score_gemma":0.00032689728,"teacher_disagreement_score":0.9468167,"about_ca_system_score_codex":0.0002513531,"about_ca_system_score_gemma":0.00010567072,"threshold_uncertainty_score":0.99978423},"labels":[],"label_agreement":null},{"id":"W2143038016","doi":"10.1109/spawc.2013.6612122","title":"Achieving the degrees of freedom for the two-cell MIMO interfering broadcast channels with limited feedback","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"MIMO; Computer science; Base station; Interference alignment; Offset (computer science); Degrees of freedom (physics and chemistry); Interference (communication); Channel (broadcasting); Antenna (radio); Topology (electrical circuits); Control theory (sociology); Electronic engineering; Computer network; Telecommunications; Engineering; Electrical engineering; Physics; Control (management)","score_opus":0.012230038243108221,"score_gpt":0.2034916429122072,"score_spread":0.19126160466909897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143038016","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":[0.036283687,0.00048005633,0.9588242,0.000094545,0.00028293554,0.001078044,0.0000035891233,0.00017893176,0.0027739787],"genre_scores_gemma":[0.9726097,0.000024200654,0.026445543,0.000016874612,0.00012994684,0.00019237335,0.0000030098702,0.00005893498,0.0005194249],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929816,0.000015035963,0.00024614896,0.0001295229,0.000083623236,0.00022750096],"domain_scores_gemma":[0.9991547,0.00029202487,0.00007016102,0.00033906128,0.000114947004,0.000029123923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010787316,0.00016744917,0.00016629684,0.00004571995,0.0000885778,0.000059616294,0.00027158373,0.000038819217,0.00003850757],"category_scores_gemma":[0.00002442801,0.00008611588,0.00004971667,0.0001690062,0.000051166742,0.00024268564,0.000046357443,0.00010424779,0.000015536856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008745779,0.0000074844743,0.000105931686,0.00007677614,0.000041715633,8.524651e-8,0.00055241544,0.987963,0.009205079,0.00010372308,0.0002411653,0.0016938789],"study_design_scores_gemma":[0.00054378615,0.00006168097,0.00016556887,0.00010106077,0.00002514744,0.00000518653,0.0014357199,0.9910546,0.0060136085,0.0000061656224,0.00043685813,0.00015062894],"about_ca_topic_score_codex":0.0001579115,"about_ca_topic_score_gemma":0.000081397804,"teacher_disagreement_score":0.936326,"about_ca_system_score_codex":0.000028279828,"about_ca_system_score_gemma":0.000005363516,"threshold_uncertainty_score":0.35117036},"labels":[],"label_agreement":null},{"id":"W2143045079","doi":"10.1109/tsp.2009.2028193","title":"Asymptotic Spectral Efficiency of MIMO Ad hoc Networks","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Transmitter; Beamforming; Wireless ad hoc network; MIMO; Upper and lower bounds; Channel state information; Computer science; Topology (electrical circuits); Spectral efficiency; Node (physics); Algorithm; Channel (broadcasting); Mathematics; Computer network; Wireless; Telecommunications; Combinatorics; Physics; Mathematical analysis","score_opus":0.008361097275413655,"score_gpt":0.2213698325811415,"score_spread":0.21300873530572786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143045079","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":[0.007624322,0.0015093219,0.98925066,0.000014558985,0.00019440443,0.00016948962,0.0000030358615,0.00034800573,0.000886172],"genre_scores_gemma":[0.99345046,0.00008453106,0.006288151,0.000021066653,0.00004989535,0.0000075532807,0.0000014720888,0.000033498236,0.000063364205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900943,0.000016978924,0.00034438208,0.00019093687,0.00015936479,0.00027890172],"domain_scores_gemma":[0.9996398,0.00003208864,0.00006516499,0.00013115762,0.000063571504,0.000068202826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008108427,0.00018673841,0.00021502799,0.00016403271,0.00011873037,0.000029751933,0.0001130383,0.00009989099,0.000034912395],"category_scores_gemma":[0.0000012083074,0.0001967068,0.00007675547,0.00048962847,0.000034546425,0.0002944636,2.1647271e-7,0.0002442328,0.000007989696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017948927,0.00005496295,8.918621e-7,0.00004949721,0.000008205059,0.0000017966308,0.00016032296,0.86639476,0.008872279,0.0000037077089,0.000006073309,0.12442953],"study_design_scores_gemma":[0.0003488626,0.00017267239,0.000022877492,0.00024488257,0.00003372901,0.000014538753,0.000060904575,0.94490165,0.05387732,0.00006973991,0.000023024664,0.00022981674],"about_ca_topic_score_codex":4.638577e-7,"about_ca_topic_score_gemma":0.000002217879,"teacher_disagreement_score":0.98582613,"about_ca_system_score_codex":0.00008743717,"about_ca_system_score_gemma":0.000025845355,"threshold_uncertainty_score":0.80214703},"labels":[],"label_agreement":null},{"id":"W2143075670","doi":"10.1109/t-wc.2009.070265","title":"Capacity and power allocation for spectrum-sharing communications in fading channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":308,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Fading; Rayleigh fading; Computer science; Cognitive radio; Telecommunications; Channel (broadcasting); Channel capacity; Interference (communication); Computer network; Fading distribution; Transmission (telecommunications); Electronic engineering; Wireless; Engineering","score_opus":0.03655572085648996,"score_gpt":0.27175576755295966,"score_spread":0.2352000466964697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143075670","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":[0.01845395,0.0003134832,0.9771393,0.0015973905,0.0001958015,0.00085207034,0.000043249733,0.00040509118,0.0009996899],"genre_scores_gemma":[0.9761438,0.0013220819,0.02193438,0.000062998966,0.000013023214,0.00039828,0.00003085938,0.00004358825,0.00005100936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890053,0.000058503236,0.0004523066,0.00023414081,0.00008560546,0.00026893817],"domain_scores_gemma":[0.99761266,0.00025766343,0.00007157654,0.0019059854,0.000073858886,0.00007827966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022498704,0.00020932568,0.00023859786,0.00034879168,0.00045120833,0.000066853594,0.0007541865,0.00013035026,0.000005227491],"category_scores_gemma":[0.000009004148,0.00026310593,0.00006330529,0.0004721529,0.00010656528,0.00044705777,0.0000068704735,0.00040153306,0.0000072684065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017451148,0.000339813,0.000046151483,0.000055729513,0.000052570897,2.2400089e-7,0.0034339216,0.95038676,0.010545204,0.016184034,0.000027893286,0.018910231],"study_design_scores_gemma":[0.00071924104,0.000070656,0.00023937749,0.00021589428,0.000028380371,0.000009381527,0.00026768184,0.9878431,0.007349081,0.002426031,0.00044923607,0.00038193612],"about_ca_topic_score_codex":0.00003917135,"about_ca_topic_score_gemma":0.00047912277,"teacher_disagreement_score":0.9576898,"about_ca_system_score_codex":0.0002562357,"about_ca_system_score_gemma":0.000015361087,"threshold_uncertainty_score":0.9999821},"labels":[],"label_agreement":null},{"id":"W2143132695","doi":"10.1109/cwit.2009.5069519","title":"What is the best angular density of multipath in MIMO channels?","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Multipath propagation; Antenna (radio); Fading; Spatial correlation; Channel capacity; Topology (electrical circuits); Antenna array; Rayleigh fading; Gaussian; Channel (broadcasting); Computer science; Physics; Mathematics; Telecommunications; Combinatorics","score_opus":0.009864780504385435,"score_gpt":0.22450553111392824,"score_spread":0.2146407506095428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143132695","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":[0.6350578,0.002251719,0.3584027,0.00044338513,0.0008207763,0.0006414866,0.0000025656436,0.00021638183,0.002163201],"genre_scores_gemma":[0.9965034,0.00019353906,0.0029668673,0.00008097508,0.000030171721,0.0000033450171,0.0000017876546,0.000009140147,0.0002107763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995946,0.000010218991,0.00014792419,0.00007943927,0.000058446734,0.00010932673],"domain_scores_gemma":[0.99973124,0.000016982258,0.000019481442,0.00018472355,0.000029864192,0.000017679266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070891125,0.00007333616,0.00010742239,0.000042697047,0.000013565502,0.000015139319,0.00007274399,0.000044081935,0.000012675662],"category_scores_gemma":[0.000008613553,0.00005600441,0.000023346744,0.00014632948,0.0000094838515,0.00027598592,0.00000797048,0.000054380394,0.000012440644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045756005,0.00003864294,0.001090078,0.0000335101,0.000009668002,0.0000047146377,0.0027430549,0.97793674,0.008934528,0.0003068666,0.00021538178,0.008682255],"study_design_scores_gemma":[0.00061189843,0.000058617,0.0023219397,0.00021804594,0.000011016478,0.000008265961,0.0033266349,0.86931556,0.12292975,0.0005257797,0.00039459724,0.00027790817],"about_ca_topic_score_codex":0.000032661053,"about_ca_topic_score_gemma":0.00004268288,"teacher_disagreement_score":0.3614456,"about_ca_system_score_codex":0.000026633845,"about_ca_system_score_gemma":0.000002472723,"threshold_uncertainty_score":0.22837935},"labels":[],"label_agreement":null},{"id":"W2143403648","doi":"10.1109/vetecs.2009.5073528","title":"Efficient User Selection and Ordering Algorithms for Successive Zero-Forcing Precoding for Multiuser MIMO Downlink","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; Zero-forcing precoding; Dirty paper coding; Telecommunications link; Computer science; Greedy algorithm; Algorithm; Scheduling (production processes); MIMO; Multi-user MIMO; Computational complexity theory; Mathematical optimization; Mathematics; Beamforming; Computer network; Telecommunications","score_opus":0.012428541272363099,"score_gpt":0.25324422909189753,"score_spread":0.24081568781953444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143403648","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":[0.02197724,0.00012464721,0.9757574,0.000029232577,0.00028148392,0.001172886,0.000008171591,0.00044271172,0.0002062213],"genre_scores_gemma":[0.70407313,0.000010015927,0.29534963,0.000018526416,0.00011614013,0.00012740622,0.00001411364,0.000037174876,0.00025389658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912393,0.0000056028734,0.00026250625,0.0002468285,0.000059105998,0.00030204043],"domain_scores_gemma":[0.99955666,0.00012597672,0.000051604828,0.0000884394,0.000119383374,0.000057935402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012241777,0.00017572075,0.00018461162,0.00011036769,0.00015328491,0.000058590595,0.00005211184,0.00009465005,0.000004621169],"category_scores_gemma":[0.00007475179,0.00017453947,0.000044069307,0.00014177464,0.000005837148,0.00018298949,0.000009111995,0.00006407828,9.099568e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013230759,0.000009292261,0.000048477494,0.000090233996,0.000015618982,1.09455144e-7,0.00020458513,0.97502446,0.010936943,0.0002586676,0.000079608006,0.013318755],"study_design_scores_gemma":[0.00086259784,0.00006546651,0.000044346252,0.000062229046,0.000017901722,0.0000036892454,0.000069229514,0.9804161,0.017721958,0.000094358045,0.00041842926,0.00022369898],"about_ca_topic_score_codex":0.0000074222094,"about_ca_topic_score_gemma":0.000019970257,"teacher_disagreement_score":0.6820959,"about_ca_system_score_codex":0.00010639381,"about_ca_system_score_gemma":0.0000068872832,"threshold_uncertainty_score":0.7117513},"labels":[],"label_agreement":null},{"id":"W2143576003","doi":"10.1109/wcnc.2008.195","title":"Sum Rate Maximization of MIMO Broadcast Channels with Coordination of Base Stations","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Precoding; Telecommunications link; Base station; Computer science; Dirty paper coding; Spectral efficiency; Multi-user MIMO; Transmission (telecommunications); Computer network; 3G MIMO; Transmitter power output; Maximization; Topology (electrical circuits); Mathematics; Mathematical optimization; Telecommunications; Transmitter; Channel (broadcasting)","score_opus":0.012747169607547525,"score_gpt":0.20408030167868377,"score_spread":0.19133313207113625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143576003","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":[0.05556271,0.000045634668,0.9422167,0.000017666747,0.00008457999,0.0002447454,0.000017996712,0.000115121824,0.0016948441],"genre_scores_gemma":[0.97354525,0.00004158875,0.025619172,0.000003926782,0.000015091263,0.000017312523,0.00007558591,0.000027223095,0.0006548602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994264,0.000020433201,0.00027279367,0.000092233364,0.00009202782,0.00009610511],"domain_scores_gemma":[0.99943984,0.00003583523,0.000095735675,0.00013925473,0.00026011164,0.000029224024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063058615,0.00009268792,0.00015051707,0.0001459984,0.00003131977,0.0000031747172,0.000044915814,0.00003815041,0.000048430276],"category_scores_gemma":[0.000027600467,0.00008743395,0.000018241506,0.00036936486,0.000035148445,0.0002927758,0.0000058150663,0.000033239477,0.0000034914997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010051558,0.00002126735,0.00055140664,0.00008084211,0.000016401427,9.517902e-7,0.00038409233,0.9895542,0.00852589,0.00041548832,0.00021534946,0.00022404442],"study_design_scores_gemma":[0.00093353883,0.00009218914,0.000871811,0.000072102455,0.000018796347,0.000012977741,0.00026558322,0.8759815,0.121403195,0.000059094742,0.00010395645,0.00018521948],"about_ca_topic_score_codex":0.00003525155,"about_ca_topic_score_gemma":0.000018295741,"teacher_disagreement_score":0.9179825,"about_ca_system_score_codex":0.000031635405,"about_ca_system_score_gemma":0.000018640028,"threshold_uncertainty_score":0.3565453},"labels":[],"label_agreement":null},{"id":"W2143657748","doi":"10.1109/lcomm.2005.1461684","title":"Improving power allocation to MIMO eigenbeams under imperfect channel estimation","year":2005,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Computer science; Transmitter; Spatial multiplexing; Channel (broadcasting); Interference (communication); Multiplexing; Transmitter power output; Orthogonal frequency-division multiplexing; Transmission (telecommunications); Telecommunications; Antenna diversity; Electronic engineering; Algorithm; Wireless; Engineering","score_opus":0.014170234121119347,"score_gpt":0.24757296541203602,"score_spread":0.23340273129091668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143657748","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":[0.029051958,0.00027242475,0.963358,0.0052308156,0.00031709927,0.0005238611,0.000007231508,0.0006060523,0.0006325989],"genre_scores_gemma":[0.8882455,0.000041309446,0.11005621,0.0012084335,0.000078859644,0.00020104588,0.000063172265,0.00006604204,0.00003939353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899036,0.000059286285,0.0003640876,0.0001938265,0.00012469965,0.00026776694],"domain_scores_gemma":[0.99821717,0.000088153276,0.00007291825,0.0014505993,0.00007841697,0.00009276223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018601437,0.00019368045,0.00015049038,0.00022289161,0.00020553143,0.00006483037,0.00057006255,0.00007675433,0.000012297241],"category_scores_gemma":[0.00003783884,0.00023094068,0.00005087593,0.0003879925,0.000039217288,0.0005494128,0.000066318345,0.00019037853,0.00028560357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017405176,0.000016768721,0.0000054711104,0.000012070896,0.000017133203,9.3993116e-8,0.0006075029,0.8759976,0.11555311,0.00014253984,0.0014892748,0.006156689],"study_design_scores_gemma":[0.00025810878,0.000017288925,0.00014544243,0.00005253191,0.000020604943,0.000007806239,0.00013869823,0.9824906,0.01431843,0.000028689066,0.0021536278,0.0003682021],"about_ca_topic_score_codex":0.000037830898,"about_ca_topic_score_gemma":0.00008282287,"teacher_disagreement_score":0.85919356,"about_ca_system_score_codex":0.00042396775,"about_ca_system_score_gemma":0.00001494476,"threshold_uncertainty_score":0.94174874},"labels":[],"label_agreement":null},{"id":"W2144216682","doi":"10.1109/tcomm.2008.060596","title":"Statistical analysis of mobile radio reception: an extension of clarke's model","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Autocorrelation; Fading; Wireless; Spectral density; Channel (broadcasting); Computer science; Statistical model; Electronic engineering; Doppler effect; Telecommunications; Statistical physics; Algorithm; Mathematics; Statistics; Engineering; Physics; Artificial intelligence","score_opus":0.041698612710820065,"score_gpt":0.2898219552091321,"score_spread":0.24812334249831206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144216682","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":[0.027201338,0.00012776666,0.9715054,0.0000113930855,0.00006319571,0.00021392565,0.0002640298,0.0001469759,0.00046599706],"genre_scores_gemma":[0.89245397,0.0013774768,0.10589323,0.000004198606,0.0000037865132,0.00008970969,0.00009389585,0.000025324807,0.000058409292],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900734,0.00009484942,0.00050309097,0.00014170197,0.0001420456,0.00011097891],"domain_scores_gemma":[0.997902,0.00017746398,0.00008711784,0.0015747376,0.00019140342,0.000067295405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011449119,0.0001200504,0.00032202352,0.00041423456,0.00016416403,0.0000035611606,0.00030686575,0.00009182271,0.00007114604],"category_scores_gemma":[0.000005503517,0.00013741193,0.000111402085,0.0009123266,0.00017255235,0.00021665604,0.0000020447478,0.00018622291,0.0000049642435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011055044,0.00022373324,0.000015252808,0.00001434351,0.00018955197,1.717854e-7,0.0006230352,0.9870033,0.009881342,0.00021387474,0.00003252997,0.0017917994],"study_design_scores_gemma":[0.00017551173,0.000060128372,0.0002549133,0.000017729277,0.00031598,0.000003921093,0.0001255452,0.99362296,0.0052149035,0.00005203458,0.00004087394,0.00011548056],"about_ca_topic_score_codex":0.00002775946,"about_ca_topic_score_gemma":0.00012234502,"teacher_disagreement_score":0.86561215,"about_ca_system_score_codex":0.00007327167,"about_ca_system_score_gemma":0.000030221267,"threshold_uncertainty_score":0.56034964},"labels":[],"label_agreement":null},{"id":"W2144462667","doi":"10.1109/glocom.2003.1258589","title":"An efficient design method for vector broadcast systems with common information","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Subcarrier; Transmitter; Computer science; Algorithm; Unitary matrix; Channel (broadcasting); Diagonal; Matrix (chemical analysis); Mathematical optimization; Transmission (telecommunications); Precoding; Diagonal matrix; Broadcasting (networking); Mathematics; Telecommunications; Unitary state; Orthogonal frequency-division multiplexing; MIMO; Computer network","score_opus":0.01108283042399348,"score_gpt":0.24656111955111848,"score_spread":0.235478289127125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144462667","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":[0.00047482003,0.00004404681,0.9971876,0.00000837458,0.00019278127,0.0010453499,0.000008775917,0.00052994315,0.00050827645],"genre_scores_gemma":[0.49670768,0.0000012155693,0.503055,0.000008739727,0.000029186345,0.00013261865,0.00003149668,0.000021611535,0.000012501257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994297,0.000020803693,0.00022140202,0.00007967589,0.00008792559,0.0001604644],"domain_scores_gemma":[0.99959415,0.000042079988,0.000044616027,0.00018099028,0.00008103926,0.000057103887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018272006,0.00011851265,0.00014183337,0.00007905494,0.000051515406,0.000061949795,0.000070648464,0.000053378477,0.0000020238956],"category_scores_gemma":[0.00000804473,0.0000978382,0.00001547004,0.00013685029,0.000007801663,0.00044928215,0.0000033452761,0.000041610747,0.000013518583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018490331,0.000009761891,0.0000020773368,0.00009717775,0.00001066682,2.0885432e-7,0.00035917098,0.9925924,0.0006301761,0.0051299036,0.000026188838,0.0011238044],"study_design_scores_gemma":[0.0007303871,0.00014687119,0.000009970904,0.00004565585,0.000010008695,0.000014515672,0.00028543876,0.9933625,0.0048156288,0.000019442208,0.0004100694,0.0001495278],"about_ca_topic_score_codex":0.00004246526,"about_ca_topic_score_gemma":0.0000058969003,"teacher_disagreement_score":0.49623284,"about_ca_system_score_codex":0.00016625837,"about_ca_system_score_gemma":0.000015685144,"threshold_uncertainty_score":0.3989726},"labels":[],"label_agreement":null},{"id":"W2144620702","doi":"10.1109/ccece.2003.1226372","title":"Comparison of capacities of the transmit antenna diversity with the receive antenna diversity in the MIMO scheme","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Transmitter; MIMO; Computer science; Antenna diversity; Antenna (radio); Channel capacity; Spectral efficiency; Transmission (telecommunications); Channel (broadcasting); Electronic engineering; Directional antenna; Cumulative distribution function; Telecommunications; Spatial correlation; Topology (electrical circuits); Electrical engineering; Mathematics; Engineering; Probability density function; Statistics","score_opus":0.024698530727464127,"score_gpt":0.22375186255223173,"score_spread":0.1990533318247676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144620702","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":[0.8245005,0.00018917766,0.17225066,0.00035369064,0.00007638783,0.00044799203,0.000021153088,0.000048261012,0.0021122023],"genre_scores_gemma":[0.99868196,0.000026498581,0.0011989326,0.000029054943,0.000008411205,0.000002662524,0.0000015628508,0.000008024633,0.00004290732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","domain_scores_codex":[0.9993062,0.00005046796,0.00017862367,0.000099637975,0.00021977985,0.00014529513],"domain_scores_gemma":[0.99947613,0.00006898667,0.000078769284,0.0002840784,0.000077537334,0.000014469837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016564608,0.00011890391,0.00021071319,0.000040196235,0.00021962826,0.0000056360846,0.00044134556,0.000048217968,0.00000911872],"category_scores_gemma":[0.000011704258,0.000058212536,0.00005814543,0.0003383126,0.00026194123,0.00015488679,0.0001130898,0.00017848499,9.927975e-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":[0.00013572948,0.00017594516,0.25156972,0.00030701322,0.00018674029,0.0000037603274,0.15378065,0.58138824,0.00870829,0.0033969786,0.00023180041,0.000115128205],"study_design_scores_gemma":[0.008676348,0.00061814144,0.31117982,0.0014657046,0.0004272866,0.000043546515,0.4557211,0.16163582,0.056843583,0.0017110409,0.00026341746,0.0014141864],"about_ca_topic_score_codex":0.0009433775,"about_ca_topic_score_gemma":0.00201774,"teacher_disagreement_score":0.41975242,"about_ca_system_score_codex":0.000061536826,"about_ca_system_score_gemma":0.000011179856,"threshold_uncertainty_score":0.23738383},"labels":[],"label_agreement":null},{"id":"W2144633660","doi":"10.1109/icc.2011.5963130","title":"Interference Control with Beamforming Coordination for Two-Tier Femtocell Networks and Its Performance Analysis","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Femtocell; Macrocell; Beamforming; Computer science; Interference (communication); Overhead (engineering); MIMO; Computer network; Telecommunications; Base station","score_opus":0.011207004144665545,"score_gpt":0.19628653787297973,"score_spread":0.18507953372831418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144633660","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":[0.04429485,0.000127953,0.95297456,0.000002401962,0.000052834625,0.00037083915,0.0000023840623,0.00013473669,0.0020394658],"genre_scores_gemma":[0.9861825,0.000015123554,0.0133331455,0.000011112895,0.000027802633,0.00009005409,0.000010884264,0.000021046568,0.0003083378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994892,0.000005514074,0.00016387108,0.00013582691,0.000039693034,0.00016592134],"domain_scores_gemma":[0.9996911,0.000028327491,0.000045208937,0.000094446485,0.00009892308,0.000041941268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008838484,0.00011801414,0.00017499363,0.000116599156,0.000050112998,0.000016205015,0.000054822103,0.00004068632,0.0000204768],"category_scores_gemma":[0.0000057758207,0.00009847359,0.000023244265,0.0002501801,0.000010525649,0.00037739973,0.000007622238,0.00005214826,0.0000014243805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037244045,0.000004631114,0.003691353,0.000041858893,0.00014220575,1.5169189e-7,0.00019524353,0.99361926,0.00015785298,0.00024820998,0.00000816649,0.0018538408],"study_design_scores_gemma":[0.00065886544,0.00007246173,0.00044604807,0.000020268215,0.00015169958,0.0000017096206,0.00005284791,0.9967082,0.0017226086,0.0000055117075,0.000018470737,0.00014126912],"about_ca_topic_score_codex":0.0000061670758,"about_ca_topic_score_gemma":0.0000435585,"teacher_disagreement_score":0.9418876,"about_ca_system_score_codex":0.000030910724,"about_ca_system_score_gemma":0.0000033702063,"threshold_uncertainty_score":0.40156364},"labels":[],"label_agreement":null},{"id":"W2144703786","doi":"10.1109/aps.2003.1219291","title":"Simulation and maximum capacity verification of indoor MIMO antenna systems in a simple multipath-rich environment","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; MIMO; Multipath propagation; Computer science; Electronic engineering; Path loss; Antenna (radio); Delay spread; Antenna height considerations; 3G MIMO; Physical layer; Channel (broadcasting); Acoustics; Telecommunications; Engineering; Wireless; Physics","score_opus":0.016358880998635944,"score_gpt":0.21820815118219336,"score_spread":0.20184927018355742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144703786","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":[0.46874866,0.00014770807,0.53062785,0.0000025751226,0.00004131877,0.00031017198,0.000006109632,0.000050826868,0.00006476478],"genre_scores_gemma":[0.99419326,0.000027047377,0.0056904163,0.0000025934737,0.000014164764,0.000032356606,0.0000140974325,0.000019680903,0.0000063717443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992974,0.000017722428,0.00032819592,0.00014567589,0.000087912485,0.00012311108],"domain_scores_gemma":[0.9996877,0.00003716045,0.0000603969,0.0001617382,0.000020589752,0.000032465206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099174016,0.00010599122,0.00016042721,0.000101100646,0.000017174181,0.000009084535,0.000038572576,0.00007600077,0.0000045963375],"category_scores_gemma":[0.000027666254,0.000110509216,0.000012356974,0.00011814337,0.000019377803,0.00019760027,0.000010342081,0.000056791985,0.00000584642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004128135,0.000021609025,0.0029720734,0.00010028944,0.0000053066124,4.97516e-7,0.00045914526,0.9741681,0.021863395,0.00013443438,4.7270214e-7,0.0002705488],"study_design_scores_gemma":[0.00078107405,0.00002210168,0.0072115394,0.000041588177,0.000004809923,0.0000012691911,0.00024786164,0.9882032,0.0031731138,0.00014063099,0.00004535222,0.00012740679],"about_ca_topic_score_codex":0.00020530797,"about_ca_topic_score_gemma":0.000033448403,"teacher_disagreement_score":0.5254446,"about_ca_system_score_codex":0.00017194956,"about_ca_system_score_gemma":0.0000042939514,"threshold_uncertainty_score":0.45064348},"labels":[],"label_agreement":null},{"id":"W2144900368","doi":"10.1109/apmc.2006.4429415","title":"A novel dimensionality metric for multi-antenna systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metric (unit); Singular value; Mathematics; Equivalence (formal languages); Mean squared error; Topology (electrical circuits); Equivalence of metrics; Curse of dimensionality; Algorithm; Applied mathematics; Computer science; Statistics; Discrete mathematics; Metric space; Eigenvalues and eigenvectors; Combinatorics; Injective metric space; Physics; Engineering","score_opus":0.027705515213655853,"score_gpt":0.252411468686048,"score_spread":0.22470595347239217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144900368","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":[0.0009503283,0.0005513118,0.99616253,0.0000055235582,0.0006128026,0.00049865246,0.000032276876,0.00046468407,0.00072186656],"genre_scores_gemma":[0.7954702,0.0000026602365,0.20287426,0.000007054255,0.00010395207,0.0001104891,0.00003870969,0.00003705659,0.0013556584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935484,0.0000052277333,0.00025753645,0.00013400438,0.00007500156,0.00017336545],"domain_scores_gemma":[0.9996396,0.000061946244,0.000030002646,0.00014506276,0.00009332459,0.000030082962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010691647,0.00010940772,0.0001528365,0.00010231157,0.000035623056,0.000019297493,0.000054009153,0.00005682478,0.000004754904],"category_scores_gemma":[0.000031965275,0.00009922535,0.00004426138,0.0002483659,0.000006987174,0.000113287824,0.0000090551575,0.00003345829,0.000015301002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023549724,0.000037370897,0.000107939995,0.000118696495,0.000015753269,3.4754726e-7,0.000005973302,0.9499552,0.040481325,0.008469301,0.00072814507,0.000077557546],"study_design_scores_gemma":[0.0004241162,0.000006546056,0.00026571116,0.000015670392,0.000008533713,0.0000050410454,0.000022433745,0.99708706,0.0011827261,0.00003266132,0.0008123777,0.00013712121],"about_ca_topic_score_codex":0.00019165511,"about_ca_topic_score_gemma":0.00003277446,"teacher_disagreement_score":0.79451984,"about_ca_system_score_codex":0.00008213691,"about_ca_system_score_gemma":0.0000048447014,"threshold_uncertainty_score":0.40462923},"labels":[],"label_agreement":null},{"id":"W2145248580","doi":"10.1109/twc.2014.2330831","title":"Distributed Resource Allocation for Relay-Aided Device-to-Device Communication: A Message Passing Approach","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Relay; Computer science; Resource allocation; Computer network; Node (physics); Wireless; Transmission (telecommunications); Wireless network; Cellular network; Resource management (computing); Distributed computing; Power (physics); Telecommunications; Engineering","score_opus":0.027252278677214272,"score_gpt":0.2613136758807885,"score_spread":0.23406139720357425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145248580","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":[0.0011769446,0.00020004495,0.99136084,0.001316039,0.00013080929,0.0013991778,0.00015845713,0.001056858,0.0032008318],"genre_scores_gemma":[0.79622424,0.00015855416,0.20091133,0.00015953406,0.000025296984,0.001767685,0.0005161138,0.000118410695,0.00011885729],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979267,0.00035497206,0.00073928264,0.00037197006,0.00021776037,0.0003893129],"domain_scores_gemma":[0.9949838,0.0009248261,0.00016519272,0.0034246144,0.00030721255,0.0001943803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005527741,0.0003533787,0.0003961861,0.00028981688,0.0011154942,0.0001272203,0.0013141838,0.00022376109,0.00000823186],"category_scores_gemma":[0.000041612853,0.00042033292,0.00014757628,0.0009960762,0.00012612254,0.00040433503,0.0000147164465,0.00052234903,0.000045872188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025219,0.000207573,0.000003977834,0.00011513814,0.000084168794,4.6731127e-8,0.0007948461,0.98036176,0.002241061,0.002891901,0.0006272865,0.012647015],"study_design_scores_gemma":[0.0008678675,0.000054464286,0.000034087032,0.00025457548,0.000116463714,0.000007143716,0.00067982764,0.9700778,0.0038029433,0.0001526278,0.023415899,0.0005362709],"about_ca_topic_score_codex":0.000032789474,"about_ca_topic_score_gemma":0.0001713286,"teacher_disagreement_score":0.7950473,"about_ca_system_score_codex":0.00037357095,"about_ca_system_score_gemma":0.000037814905,"threshold_uncertainty_score":0.9998248},"labels":[],"label_agreement":null},{"id":"W2145322824","doi":"10.1016/j.phycom.2012.04.007","title":"Interference mitigation for cognitive radio MIMO systems based on practical precoding","year":2012,"lang":"en","type":"article","venue":"Physical Communication","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"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":"International Science and Technology Cooperation Programme; Engineering and Physical Sciences Research Council; Guilin University of Electronic Technology; Ministry of Science and Technology; Research Councils UK; National Natural Science Foundation of China; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; Nortel Networks Inc; Department of Science and Technology, Hubei Provincial People's Government; University of Edinburgh; Heriot-Watt University","keywords":"Precoding; Zero-forcing precoding; Interference (communication); Cognitive radio; MIMO; Transmission (telecommunications); Throughput","score_opus":0.04054740957625802,"score_gpt":0.3148894739483746,"score_spread":0.27434206437211656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145322824","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":[0.014968589,0.00016947679,0.97999793,0.00008895515,0.000224578,0.0008266934,0.000020064177,0.00028383083,0.0034198929],"genre_scores_gemma":[0.9909113,0.000012457594,0.008138928,0.000019062252,0.00018607167,0.0004755032,0.00020317307,0.0000380589,0.000015431026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925536,0.00013373588,0.00019814103,0.00011143246,0.00009778446,0.00020352374],"domain_scores_gemma":[0.99821764,0.0011637654,0.00008450803,0.00034653235,0.0001160026,0.00007152043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020949855,0.00013337807,0.00016236535,0.000053401243,0.00009896054,0.000040267707,0.000119037875,0.000057137055,0.0000023756347],"category_scores_gemma":[0.0002626552,0.00013926264,0.000047595666,0.00012072525,0.000032035772,0.00054265046,0.000019597717,0.00017666267,0.000033414926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034025178,0.00143055,0.0012792511,0.0011729082,0.00019705875,2.9986285e-7,0.005945701,0.8499344,0.025846282,0.09531078,0.001868095,0.01667443],"study_design_scores_gemma":[0.00037750328,0.000058025533,0.0001810275,0.00026188072,0.000032490516,0.0000010976655,0.00019422157,0.9923836,0.0058858097,0.00018424369,0.00027394257,0.00016614796],"about_ca_topic_score_codex":0.0000035887097,"about_ca_topic_score_gemma":9.943847e-7,"teacher_disagreement_score":0.97594273,"about_ca_system_score_codex":0.00015009196,"about_ca_system_score_gemma":0.000010412383,"threshold_uncertainty_score":0.5678966},"labels":[],"label_agreement":null},{"id":"W2145479782","doi":"10.1109/aps.2007.4395752","title":"A new semi-deterministic model for MIMO systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"MIMO; Channel (broadcasting); Computer science; Antenna (radio); Electronic engineering; Wireless; Path loss; Radio channel; Topology (electrical circuits); Channel capacity; Algorithm; Telecommunications; Engineering; Electrical engineering","score_opus":0.016482288166991575,"score_gpt":0.24744743496956567,"score_spread":0.2309651468025741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145479782","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":[0.00018221386,0.0001646998,0.9896004,0.000004248778,0.00041783883,0.00041570902,0.0000059319523,0.00051466847,0.008694246],"genre_scores_gemma":[0.83363754,0.000004851171,0.15666299,0.000012784907,0.00019915965,0.000029889796,0.000009826842,0.0000568372,0.0093861455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993528,0.000001935205,0.0002462972,0.000113530405,0.00005778538,0.00022765681],"domain_scores_gemma":[0.9996308,0.00006074139,0.000022639553,0.00015915195,0.000033676417,0.00009297288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001072792,0.00010832603,0.00013153914,0.000060481365,0.00002524173,0.000021440528,0.000070109796,0.00006989141,0.000005880278],"category_scores_gemma":[0.000020656487,0.00010829004,0.00003188603,0.00007532718,0.0000037502555,0.00010162156,0.000006695136,0.000036635975,0.000019124545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004111967,0.0000019690951,0.0000035302483,0.000099802724,0.000007706993,8.836728e-7,0.000082418825,0.99147576,0.0015071554,0.0032489384,0.0022145177,0.0013531768],"study_design_scores_gemma":[0.00018654212,0.00001100647,0.0000013238185,0.000026184012,0.000008052879,0.000007503929,0.000053314125,0.99784887,0.00062186667,0.00027722036,0.00082286925,0.00013527265],"about_ca_topic_score_codex":0.000010293963,"about_ca_topic_score_gemma":0.000022535776,"teacher_disagreement_score":0.8334553,"about_ca_system_score_codex":0.00007248626,"about_ca_system_score_gemma":0.0000145262175,"threshold_uncertainty_score":0.44159397},"labels":[],"label_agreement":null},{"id":"W2145502169","doi":"10.1109/tcomm.2007.902531","title":"Stochastic Differential Equation Theory Applied to Wireless Channels","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Fading; Autoregressive model; Wireless; Multipath propagation; Stochastic process; Stochastic differential equation; Computer science; Channel (broadcasting); Rayleigh fading; Stochastic modelling; Markov process; Channel state information; Mathematics; Applied mathematics; Telecommunications; Statistics","score_opus":0.025354993590031995,"score_gpt":0.2581639917742672,"score_spread":0.2328089981842352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145502169","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":[0.0021930947,0.000029993038,0.9930967,0.00007066529,0.00070056826,0.00062381005,0.000024255976,0.0006202603,0.0026406655],"genre_scores_gemma":[0.99163824,0.000027188406,0.0076727835,0.000040441846,0.000051828316,0.00026790428,0.000025459218,0.00006290042,0.00021327128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990412,0.00004502751,0.00034806126,0.00016721513,0.00014061267,0.00025790115],"domain_scores_gemma":[0.99827117,0.00037723378,0.000041332012,0.0011156992,0.00007157877,0.00012300364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023376915,0.00018140108,0.00016394332,0.00030811035,0.00032155463,0.000034279252,0.0004407282,0.000100375095,0.000051529758],"category_scores_gemma":[0.000005542414,0.0002100316,0.000057039873,0.00046596417,0.00005068795,0.00012266301,0.0000037926152,0.00028230893,0.00018515043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026812913,0.00008950009,1.4613398e-7,0.000010618514,0.00003690629,1.2037721e-7,0.000782048,0.9565493,0.01144123,0.005294893,0.000020155634,0.02574828],"study_design_scores_gemma":[0.0012402133,0.00010808117,0.00005361441,0.000165881,0.00014723552,0.000009517864,0.0011861192,0.9310308,0.06160966,0.0029746161,0.000486545,0.0009877067],"about_ca_topic_score_codex":0.000006280117,"about_ca_topic_score_gemma":0.000080476086,"teacher_disagreement_score":0.98944515,"about_ca_system_score_codex":0.00018445225,"about_ca_system_score_gemma":0.000012899612,"threshold_uncertainty_score":0.85648406},"labels":[],"label_agreement":null},{"id":"W2145502452","doi":"10.1109/glocom.2012.6503579","title":"Dynamic energy-efficient resource allocation in cognitive heterogeneous wireless networks with the smart grid","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Femtocell; Macrocell; Computer science; Efficient energy use; Base station; Quality of service; Smart grid; Heterogeneous network; Resource allocation; Wireless network; Stackelberg competition; Computer network; Wireless; Distributed computing; Telecommunications; Engineering; Electrical engineering","score_opus":0.005261092674691329,"score_gpt":0.197265748164782,"score_spread":0.1920046554900907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145502452","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":[0.104900695,0.00052025844,0.89226645,0.000022376114,0.00013794546,0.00020555561,0.0000016278007,0.00016709333,0.0017780158],"genre_scores_gemma":[0.99909437,0.000020856307,0.00044467056,0.000060246035,0.00006277069,0.000084868036,0.000042582233,0.000040609142,0.00014901505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932265,0.00004054885,0.00014771603,0.000116202675,0.000091613656,0.00028123963],"domain_scores_gemma":[0.99966735,0.000073599585,0.00003304934,0.00014649869,0.000032266966,0.00004724127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121776415,0.00013253711,0.000104630286,0.00005174321,0.000047120382,0.000015437903,0.00007240483,0.00005794834,0.00000913584],"category_scores_gemma":[0.000004045412,0.00009340934,0.000016679684,0.00023489745,0.000026840109,0.00007929458,0.000017090699,0.00009590968,0.0000051143084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001128016,0.000017994947,0.0002771645,0.0000064800984,0.000013635714,9.920599e-7,0.00026679705,0.9975097,0.00006468317,0.000084170184,0.000044657598,0.0017023995],"study_design_scores_gemma":[0.00021693448,0.000013887724,0.000319901,0.000043539894,0.000009580874,0.000017571814,0.00033121236,0.99796766,0.00056974794,5.894257e-7,0.00036917164,0.00014019688],"about_ca_topic_score_codex":0.000027627473,"about_ca_topic_score_gemma":0.00030734122,"teacher_disagreement_score":0.8941937,"about_ca_system_score_codex":0.00011472156,"about_ca_system_score_gemma":0.000004570928,"threshold_uncertainty_score":0.38091224},"labels":[],"label_agreement":null},{"id":"W2145830149","doi":"10.1109/scis.2011.5976551","title":"Quantum Inspired Evolutionary algorithm for joint user selection and power allocation for uplink cognitive MIMO systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Telecommunications link; Computer science; Cognitive radio; MIMO; Mathematical optimization; Computational complexity theory; Optimization problem; Evolutionary computation; Integer programming; Interference (communication); Algorithm; Mathematics; Computer network; Wireless; Telecommunications","score_opus":0.02259998269530485,"score_gpt":0.2271751789748218,"score_spread":0.20457519627951695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145830149","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":[0.0019940077,0.00041765106,0.9943878,0.00000785634,0.0005574929,0.0018343169,0.000039681465,0.0003876653,0.0003735206],"genre_scores_gemma":[0.8122526,0.000027877835,0.18607004,0.000013335554,0.00010862491,0.0010159037,0.0001264669,0.00006881567,0.00031636303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992001,0.000013505373,0.0003060951,0.00021975423,0.000058878486,0.00020165354],"domain_scores_gemma":[0.9993907,0.0000632589,0.00006522224,0.00007703179,0.00034797785,0.00005577731],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012801198,0.00015676579,0.00017563737,0.000114055576,0.0000968966,0.000019624675,0.00003250863,0.0001268387,0.000009808849],"category_scores_gemma":[0.000037106132,0.00016156516,0.00004826256,0.000112111506,0.000015653808,0.00035770063,0.000008873491,0.000048662318,0.000005887178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001199113,0.0013147003,0.0029693171,0.006898674,0.0038093976,0.000006464584,0.013656875,0.5294604,0.06729339,0.20616998,0.023059264,0.14416246],"study_design_scores_gemma":[0.000666579,0.00016068055,0.00036502263,0.00007328639,0.00003995487,0.0000121371895,0.00045081347,0.9944632,0.0028413136,0.00044133555,0.0002655662,0.00022009485],"about_ca_topic_score_codex":0.000040694926,"about_ca_topic_score_gemma":0.000008906354,"teacher_disagreement_score":0.81025857,"about_ca_system_score_codex":0.000109916546,"about_ca_system_score_gemma":0.00001717166,"threshold_uncertainty_score":0.6588436},"labels":[],"label_agreement":null},{"id":"W2145901524","doi":"10.1109/glocom.2010.5683507","title":"Low-Complexity Coordinated Beamforming Transmission for Multiuser MISO Systems and Its Performance Analysis","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Beamforming; Overhead (engineering); Computer science; Base station; Transmission (telecommunications); Interference (communication); Ergodic theory; Scheme (mathematics); Computational complexity theory; Electronic engineering; Control theory (sociology); Algorithm; Telecommunications; Mathematics; Engineering","score_opus":0.013399284451403278,"score_gpt":0.2323454479586167,"score_spread":0.2189461635072134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145901524","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":[0.35079208,0.000097520155,0.6479356,0.00000625602,0.00017809778,0.00040216502,0.000009882153,0.0002617491,0.00031660654],"genre_scores_gemma":[0.97576064,0.00003052437,0.023553014,0.0000035744956,0.000042392832,0.000060024016,0.000042069823,0.000032475593,0.00047529233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924135,0.0000069384814,0.00027436134,0.00018730803,0.00006965011,0.00022039488],"domain_scores_gemma":[0.99956954,0.00004146466,0.00003970257,0.0001526374,0.00010248538,0.00009414949],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014155636,0.00015783805,0.00025485276,0.00016607241,0.000114013135,0.0000351487,0.000079290025,0.00011285547,0.000025658412],"category_scores_gemma":[0.000015085872,0.00014137379,0.00005374489,0.00033772909,0.000015276537,0.00034408065,0.000008457548,0.00011557844,0.0000037212349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014679845,0.000014687376,0.00067712914,0.00077145494,0.00011998934,2.9803797e-7,0.00020403224,0.9052144,0.089520864,0.00029112378,0.00003049386,0.0031408435],"study_design_scores_gemma":[0.00041165904,0.0000140816965,0.00035149403,0.000030821655,0.00008595614,0.0000032987978,0.000046322868,0.97342825,0.024822269,0.0000042045417,0.0006139425,0.00018770613],"about_ca_topic_score_codex":0.000017504351,"about_ca_topic_score_gemma":0.000035794073,"teacher_disagreement_score":0.6249685,"about_ca_system_score_codex":0.000024615087,"about_ca_system_score_gemma":0.000005132076,"threshold_uncertainty_score":0.5765056},"labels":[],"label_agreement":null},{"id":"W2146288258","doi":"10.1109/tvt.2008.2009059","title":"Downlink Scheduling via Genetic Algorithms for Multiuser Single-Carrier and Multicarrier MIMO Systems With Dirty Paper Coding","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); Fading; Round-robin scheduling; Fair-share scheduling; Proportionally fair; MIMO; Telecommunications link; Quality of service; Beamforming; Algorithm; Real-time computing; Computer network; Mathematical optimization; Decoding methods; Telecommunications; Mathematics","score_opus":0.01380776667910842,"score_gpt":0.21053030068683315,"score_spread":0.19672253400772474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146288258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10373043,0.00068893324,0.89318603,0.0000500501,0.00041342474,0.0009179586,0.000042730877,0.0009566939,0.000013730829],"genre_scores_gemma":[0.8739894,0.00014707386,0.12515587,0.000017384884,0.000045404624,0.00047559704,0.0000053590757,0.00011295294,0.000050992567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856156,0.000023922763,0.0003848723,0.00045311105,0.00014382711,0.00043271962],"domain_scores_gemma":[0.9991725,0.000078219884,0.00006570365,0.00042546474,0.0001558934,0.000102221],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006655535,0.0003403976,0.00039116445,0.00038210262,0.00032488155,0.000024270637,0.00013399032,0.00045962023,0.0000061271107],"category_scores_gemma":[0.00001089065,0.00032074013,0.00006548483,0.00040440043,0.00020669408,0.0002053966,0.0000020248353,0.00036850804,0.0000066360853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023630157,0.000045872497,0.000059483842,0.00010824389,0.00014819411,0.000026060447,0.00013574623,0.9340815,0.059459895,0.00001795937,0.000003242808,0.0058901682],"study_design_scores_gemma":[0.0016465787,0.0002139362,0.000022355296,0.00014966413,0.00011194868,0.00050167064,0.00021276136,0.93662065,0.059350546,0.00001894605,0.00065571774,0.0004952348],"about_ca_topic_score_codex":0.000012994611,"about_ca_topic_score_gemma":0.000021113738,"teacher_disagreement_score":0.77025896,"about_ca_system_score_codex":0.00014014578,"about_ca_system_score_gemma":0.000017205213,"threshold_uncertainty_score":0.9999245},"labels":[],"label_agreement":null},{"id":"W2146357631","doi":"10.1109/tsp.2007.894421","title":"Random Unitary Beamforming With Partial Feedback for MISO Downlink Transmission Using Multiuser Diversity","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Beamforming; Telecommunications link; Base station; Computer science; Unitary matrix; Unitary state; Algorithm; Channel (broadcasting); Wireless; Transmission (telecommunications); Mathematics; Topology (electrical circuits); Computer network; Telecommunications; Combinatorics","score_opus":0.020459429537668473,"score_gpt":0.24336063225963064,"score_spread":0.22290120272196218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146357631","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":[0.035429087,0.00012646362,0.96323293,0.000009208118,0.00015653307,0.00058143266,0.000015863781,0.00036966597,0.000078783545],"genre_scores_gemma":[0.87473255,0.000008679408,0.12502578,0.000020650003,0.000087012486,0.000015180807,0.0000071495115,0.00006635899,0.000036619957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987036,0.000017399572,0.00035472223,0.00027811775,0.00022342536,0.00042275447],"domain_scores_gemma":[0.99941427,0.000120063596,0.00007168927,0.00011372225,0.00013477253,0.00014551067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027408122,0.00027361835,0.00026231082,0.0002116036,0.00086514035,0.000043126205,0.000112841284,0.00015023963,0.000020444471],"category_scores_gemma":[0.0000014424324,0.0002557737,0.00009538745,0.00035964188,0.00005243085,0.0007145257,0.0000011785418,0.0002629825,0.000002479548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075956766,0.000049088147,0.000013048753,0.00024185484,0.000039548777,0.0000053917834,0.0009965784,0.89795494,0.020177314,4.4316246e-7,0.0000021228896,0.07976011],"study_design_scores_gemma":[0.003261928,0.00009064758,0.000003734941,0.00040427598,0.00013223581,0.00002698613,0.00043009006,0.8420629,0.15301654,0.000012875566,0.00019223586,0.00036554594],"about_ca_topic_score_codex":0.000017590337,"about_ca_topic_score_gemma":0.00002361151,"teacher_disagreement_score":0.8393035,"about_ca_system_score_codex":0.00018497244,"about_ca_system_score_gemma":0.00004205941,"threshold_uncertainty_score":0.99998945},"labels":[],"label_agreement":null},{"id":"W2147352526","doi":"10.1109/isit.2011.6034035","title":"Interference alignment over asynchronous X networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Asynchronous communication; Interference (communication); Upper and lower bounds; Computer science; Interference alignment; Channel (broadcasting); Topology (electrical circuits); Antenna (radio); Symbol (formal); Single antenna interference cancellation; Co-channel interference; Invariant (physics); Algorithm; Telecommunications; Mathematics; MIMO; Combinatorics; Mathematical analysis","score_opus":0.013450096695889665,"score_gpt":0.20166830873752578,"score_spread":0.1882182120416361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147352526","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":[0.001558596,0.000104128856,0.9166277,7.83531e-7,0.00033843966,0.00008365202,3.9430148e-7,0.00032689815,0.0809594],"genre_scores_gemma":[0.9847804,0.000031829,0.014807711,0.000019795954,0.000044124372,0.000015115986,0.000002209703,0.00002003252,0.0002788017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962664,0.000004985612,0.000118907636,0.00008367377,0.00003113725,0.00013465431],"domain_scores_gemma":[0.99978906,0.000006259509,0.000012202886,0.00014484102,0.00001063721,0.00003699145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026778987,0.000080236896,0.000071208364,0.000022409782,0.000012371885,0.0000067262263,0.00006914848,0.00003978167,0.00064583943],"category_scores_gemma":[0.0000021139579,0.00007511998,0.000015764645,0.000050717576,0.000008203259,0.000110681365,0.000017740842,0.000045555124,0.00006354788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000049428113,0.000018235687,0.0010521255,0.000019903555,0.000033376375,0.000004424367,0.0005494486,0.98480034,0.00041082612,0.0037976652,0.0016600711,0.0076486273],"study_design_scores_gemma":[0.00019641795,0.00003632256,0.0008656738,0.000031346688,0.0000066107727,0.000005329861,0.00006724884,0.99393755,0.0039974656,0.00019927345,0.0004286594,0.00022812054],"about_ca_topic_score_codex":0.000016561715,"about_ca_topic_score_gemma":0.000015177027,"teacher_disagreement_score":0.98322177,"about_ca_system_score_codex":0.00005787005,"about_ca_system_score_gemma":0.0000020452105,"threshold_uncertainty_score":0.70714885},"labels":[],"label_agreement":null},{"id":"W2147934714","doi":"10.1109/wcnc.2008.173","title":"User Assignment for MIMO-OFDM Systems with Multiuser Linear Precoding","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Orthogonal frequency-division multiplexing; Telecommunications link; Computer science; MIMO; MIMO-OFDM; Zero-forcing precoding; Context (archaeology); Channel (broadcasting); Multi-user MIMO; Algorithm; Multiplexing; Electronic engineering; Telecommunications; Engineering","score_opus":0.01968149246035934,"score_gpt":0.22230939304198927,"score_spread":0.20262790058162994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147934714","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":[0.007151411,0.00014020652,0.9881622,0.000007564675,0.00037527303,0.0008974108,0.000008199979,0.00055781216,0.0026998932],"genre_scores_gemma":[0.8575055,0.000034578967,0.13524337,0.000012517742,0.00019215666,0.00032770264,0.000018510624,0.000093999086,0.0065716784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923533,0.000009878755,0.00023184335,0.0001758833,0.00010744315,0.00023962306],"domain_scores_gemma":[0.9995676,0.000057283232,0.00003724307,0.00020212098,0.0000695359,0.00006618946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000065486274,0.00016102633,0.00018638186,0.000057180427,0.00008077378,0.000015391744,0.000074654476,0.00006914151,0.000016367856],"category_scores_gemma":[0.000012752745,0.00013096505,0.000030889845,0.00009331206,0.000013389571,0.00023404683,0.0000093913995,0.00005793458,0.00002675069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000102936565,0.000011393613,0.00077977934,0.00011411769,0.000037963327,0.0000025214279,0.00015643169,0.99624443,0.0010260732,0.00013161193,0.0014135796,0.00007183361],"study_design_scores_gemma":[0.00092882843,0.00006311945,0.00006755401,0.00009065893,0.000014103121,0.00003284532,0.00015820726,0.9786251,0.0062707127,0.000001595298,0.013456541,0.00029070443],"about_ca_topic_score_codex":0.000015492014,"about_ca_topic_score_gemma":0.000011113379,"teacher_disagreement_score":0.85291886,"about_ca_system_score_codex":0.00011283069,"about_ca_system_score_gemma":0.000010908923,"threshold_uncertainty_score":0.53405994},"labels":[],"label_agreement":null},{"id":"W2148026970","doi":"10.1109/bsc.2006.1644627","title":"Performance of Transmit Optimization for Two-Input Multiple-Output Spatial Multiplexing","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Innovation, Science and Economic Development Canada","funders":"","keywords":"Precoding; Zero-forcing precoding; MIMO; Spatial multiplexing; Minimum mean square error; Beamforming; Computer science; Transmitter power output; Decoding methods; Bit error rate; Multiplexing; Interference (communication); Algorithm; Control theory (sociology); Electronic engineering; Mathematics; Telecommunications; Channel (broadcasting); Engineering; Transmitter; Statistics; Artificial intelligence; Estimator","score_opus":0.008479894079252828,"score_gpt":0.206565029017647,"score_spread":0.1980851349383942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148026970","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":[0.038378008,0.00005042052,0.9586626,0.0000075811304,0.0002344955,0.0005974211,0.000025362908,0.0003555185,0.0016885585],"genre_scores_gemma":[0.74428624,0.00000737431,0.25523126,0.000003340813,0.00012448477,0.000056288634,0.000092545146,0.000045861387,0.0001526025],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990837,0.000008836632,0.0004245341,0.00016116901,0.00009981897,0.00022194047],"domain_scores_gemma":[0.99955267,0.00008092504,0.00006693653,0.00015971219,0.00011027768,0.000029483097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008291524,0.00016256844,0.00020619444,0.00010615647,0.000051968553,0.000011730276,0.000088704015,0.0000724411,0.000023924693],"category_scores_gemma":[0.0000203862,0.00016957373,0.00006558371,0.0001352815,0.000020209876,0.00027743148,0.0000068638424,0.000049912873,0.000002852859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025692481,0.000016278984,0.0016307228,0.00019323536,0.000010463563,1.2459236e-7,0.000044677185,0.9878622,0.0064979424,0.00007148644,0.00004533622,0.0036018009],"study_design_scores_gemma":[0.0014246916,0.000035511046,0.00018178136,0.000042563803,0.000011181277,0.0000015669991,0.000013303444,0.95405084,0.043922123,0.0000056209083,0.00013021808,0.0001806038],"about_ca_topic_score_codex":0.000085628555,"about_ca_topic_score_gemma":0.000111313966,"teacher_disagreement_score":0.70590824,"about_ca_system_score_codex":0.00005684417,"about_ca_system_score_gemma":0.00000907609,"threshold_uncertainty_score":0.69150156},"labels":[],"label_agreement":null},{"id":"W2148251710","doi":"10.1109/wcnc.2007.325","title":"Simplified Antenna Selection and User Scheduling for Orthogonal Space-Division Multiplexing","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); Telecommunications link; Algorithm; Signal subspace; Subspace topology; Selection algorithm; Orthogonal frequency-division multiplexing; Selection (genetic algorithm); Channel (broadcasting); Multiplexing; Antenna (radio); Interference (communication); Computational complexity theory; Theoretical computer science; Mathematical optimization; Mathematics; Computer network; Telecommunications; Artificial intelligence","score_opus":0.012732992899065484,"score_gpt":0.2517207200641527,"score_spread":0.2389877271650872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148251710","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":[0.10751249,0.000075165226,0.8913145,0.000011864236,0.00016454715,0.00028881643,0.0000023287355,0.00037506726,0.0002552163],"genre_scores_gemma":[0.7939736,0.000008612998,0.20576636,0.00001006797,0.00008314736,0.00000836839,0.000009813721,0.00003308089,0.0001069514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933964,0.000004622206,0.00020012839,0.00015950346,0.00006286322,0.00023321892],"domain_scores_gemma":[0.9996863,0.00008610942,0.000029018325,0.00006543417,0.00007244669,0.0000606848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022391591,0.000115983195,0.000112607995,0.00010497001,0.00008782784,0.000026672818,0.000028154935,0.00008148422,0.00000783559],"category_scores_gemma":[0.00006659137,0.00011669074,0.0000254564,0.00014292588,0.0000075016815,0.00023995667,0.000011744131,0.00007157904,0.0000033150955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002300298,0.000006702386,0.0025447689,0.00007959476,0.000016484899,5.305117e-7,0.00008366055,0.8321879,0.15884514,0.0017139508,0.000021882497,0.0044764043],"study_design_scores_gemma":[0.0004883528,0.000021441383,0.0012970808,0.000033964294,0.0000043728605,0.0000065466356,0.00012228229,0.9850058,0.012235489,0.00007640021,0.00055030524,0.00015797363],"about_ca_topic_score_codex":0.0000060665493,"about_ca_topic_score_gemma":0.0000890436,"teacher_disagreement_score":0.6864611,"about_ca_system_score_codex":0.00004992901,"about_ca_system_score_gemma":0.000004398291,"threshold_uncertainty_score":0.47585103},"labels":[],"label_agreement":null},{"id":"W2148562694","doi":"10.1109/glocom.2013.6831376","title":"Optimizing user association and frequency reuse for heterogeneous network under stochastic model","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Reuse; Base station; Telecommunications link; Cellular network; Heterogeneous network; Maximization; Enhanced Data Rates for GSM Evolution; Mathematical optimization; Wireless network; Computer network; Distributed computing; Wireless; Telecommunications; Engineering; Mathematics","score_opus":0.01160901908654812,"score_gpt":0.21262870621467184,"score_spread":0.2010196871281237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148562694","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":[0.009987497,0.00025029114,0.9883444,0.000051746243,0.00015839479,0.0005496065,0.0000035889761,0.00030857453,0.0003459314],"genre_scores_gemma":[0.6394027,0.000015680294,0.35958046,0.00006018087,0.000089871144,0.00017033986,0.000010860444,0.000050788272,0.00061915047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933755,0.000007996373,0.00019265767,0.00014074054,0.00006293918,0.00025811963],"domain_scores_gemma":[0.9995462,0.00008674439,0.000044695575,0.00018452265,0.00008216054,0.00005569447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007127672,0.00012166018,0.00013398664,0.000031391966,0.00006211714,0.000052371222,0.000069512746,0.000102887265,0.000017562947],"category_scores_gemma":[0.000052640706,0.00012456399,0.000026035943,0.000061722974,0.0000048701936,0.0003116296,0.000022374015,0.000055119734,0.000011845329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.8400603e-7,0.0000023956306,0.00003481701,0.000016500493,0.0000215829,4.2503867e-8,0.000070645874,0.9976168,0.000546076,0.000518978,0.0010812137,0.000090132584],"study_design_scores_gemma":[0.00022327465,0.000010734672,0.000015978025,0.000015757472,0.000014140434,0.0000015288368,0.000017154218,0.993296,0.00008285201,0.006169201,0.0000062271574,0.00014709728],"about_ca_topic_score_codex":0.0000136197805,"about_ca_topic_score_gemma":0.00002204171,"teacher_disagreement_score":0.6294152,"about_ca_system_score_codex":0.00017954117,"about_ca_system_score_gemma":0.0000062557747,"threshold_uncertainty_score":0.5079572},"labels":[],"label_agreement":null},{"id":"W2148750096","doi":"10.1109/access.2015.2467174","title":"Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and Challenges","year":2015,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Heterogeneous network; Computer science; Distributed computing; Artificial intelligence; Data science; Wireless network; Telecommunications; Wireless","score_opus":0.18256270083847864,"score_gpt":0.31839463320289413,"score_spread":0.1358319323644155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148750096","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":[0.00678874,0.0028745774,0.9885834,0.00017682363,0.0005999153,0.00051807816,0.000018009257,0.0001967793,0.00024367658],"genre_scores_gemma":[0.9938462,0.00096545334,0.0048369556,0.000026962356,0.00016597449,0.00010372141,0.0000044610574,0.000038371298,0.000011892746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993732,0.000019360095,0.0002524737,0.00010774066,0.000080409285,0.00016680486],"domain_scores_gemma":[0.9995531,0.00004776543,0.000078437784,0.00018070967,0.000093166695,0.000046850626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001927115,0.000106130356,0.00014225215,0.000045071916,0.00003958439,0.000028106837,0.00017359549,0.000038575912,0.0000010694708],"category_scores_gemma":[0.00001788685,0.00008976167,0.000027320437,0.00007563236,0.000038016136,0.00016340966,0.000026250244,0.000045334014,1.7115774e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011163249,0.0000054459333,0.000012180454,0.00012462087,0.000011577088,8.331796e-7,0.00015075404,0.8450079,0.000106337655,0.00020806654,0.00011241765,0.15424868],"study_design_scores_gemma":[0.000094399365,0.000080299054,0.000008113799,0.0002418876,0.000027858829,0.0000072008133,0.00020812501,0.67165333,0.30643487,0.012257634,0.008647158,0.00033914254],"about_ca_topic_score_codex":0.000008662459,"about_ca_topic_score_gemma":0.000074927295,"teacher_disagreement_score":0.98705745,"about_ca_system_score_codex":0.000030374367,"about_ca_system_score_gemma":0.000024607516,"threshold_uncertainty_score":0.36603746},"labels":[],"label_agreement":null},{"id":"W2148797190","doi":"10.1002/wcm.2635","title":"Energy Efficiency Architecture Design for Heterogeneous Cellular Networks","year":2015,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Computer science; Efficient energy use; Macrocell; Heterogeneous network; Spectral efficiency; Standardization; Metric (unit); Architecture; Distributed computing; Cognitive radio; Computer network; Cognitive network; Network architecture; Computer architecture; Telecommunications; Wireless; Wireless network; Base station","score_opus":0.02162142314824988,"score_gpt":0.23742574005439415,"score_spread":0.21580431690614427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148797190","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":[0.0056827655,0.009032256,0.9843829,0.000010302451,0.00013197803,0.00035556805,0.000002771676,0.00026288582,0.00013856796],"genre_scores_gemma":[0.912987,0.00027309926,0.08645132,0.000014136343,0.00006103282,0.00012318362,0.000038717153,0.00003834588,0.00001314847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993033,0.0000691572,0.00023355757,0.00014174143,0.000048036873,0.00020424211],"domain_scores_gemma":[0.99894416,0.00022031296,0.000055541022,0.0006058282,0.00008630612,0.00008786499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932276,0.00013335416,0.00016279308,0.000057382327,0.00020622181,0.000041404666,0.00031345215,0.00007010738,3.7702213e-7],"category_scores_gemma":[0.000007918991,0.00014121052,0.000031568714,0.00014134712,0.00005268829,0.000041905787,0.00013872427,0.000099297045,4.795363e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002234535,0.000014362133,0.000006615925,0.000014031697,0.000010390492,2.5620614e-7,0.00037323922,0.9285366,0.0003970505,0.00033185302,0.00003657311,0.0702768],"study_design_scores_gemma":[0.00024677123,0.000051105915,3.5082726e-7,0.000038609433,0.000008792003,0.0000113784645,0.000094562594,0.9942286,0.00063625013,0.000111833964,0.004420591,0.00015115926],"about_ca_topic_score_codex":0.00000897677,"about_ca_topic_score_gemma":0.000005829559,"teacher_disagreement_score":0.9073042,"about_ca_system_score_codex":0.000044483008,"about_ca_system_score_gemma":0.000014224703,"threshold_uncertainty_score":0.5758398},"labels":[],"label_agreement":null},{"id":"W2148828971","doi":"10.1109/glocom.2010.5684109","title":"Generalized Singular Value Decomposition for Coordinated Beamforming in MIMO Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; Computer science; MIMO; Beamforming; Singular value decomposition; Algorithm; Telecommunications","score_opus":0.006860322853567034,"score_gpt":0.2448436688659501,"score_spread":0.23798334601238308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148828971","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":[0.14706933,0.000080839876,0.85001856,0.0000124989765,0.0009880564,0.00063462846,0.0000057275847,0.00036071858,0.0008296094],"genre_scores_gemma":[0.8611515,0.0000040866275,0.13835569,0.000009432664,0.00010185052,0.00012480064,0.00008158941,0.00004874423,0.00012232317],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992466,0.000012740146,0.0003221691,0.00014359324,0.00005440097,0.00022052786],"domain_scores_gemma":[0.99965894,0.00004419546,0.000036769365,0.00015591146,0.000059000304,0.000045179575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001759894,0.00012920152,0.00019192476,0.00014144409,0.00004510289,0.000038643215,0.00007482738,0.00012158337,0.000008436064],"category_scores_gemma":[0.000029144214,0.00013486328,0.00003484166,0.00016838583,0.000008621835,0.00023087852,0.000008409392,0.00010303545,0.000006091517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005504285,0.000008229863,0.00004551231,0.000075495365,0.000008493834,9.0057205e-7,0.000045854133,0.7648372,0.22470587,0.009849993,0.000072654526,0.00034427288],"study_design_scores_gemma":[0.0005972056,0.00001305497,0.000014358313,0.00004360049,0.000006986586,0.000011055324,0.00003476576,0.9694249,0.028599791,0.00028558707,0.0007892081,0.00017945455],"about_ca_topic_score_codex":0.000096277574,"about_ca_topic_score_gemma":0.00007218098,"teacher_disagreement_score":0.7140822,"about_ca_system_score_codex":0.00008067658,"about_ca_system_score_gemma":0.000007682592,"threshold_uncertainty_score":0.5499565},"labels":[],"label_agreement":null},{"id":"W2148885752","doi":"10.1109/cnsr.2008.87","title":"Design of Fair Multi-user Transceivers with QoS and Imperfect CSI","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Quality of service; Transmitter; Telecommunications link; Mathematical optimization; Channel (broadcasting); Throughput; Transceiver; Mean squared error; Interference (communication); Computer network; Wireless; Telecommunications; Mathematics","score_opus":0.012982985861491568,"score_gpt":0.19275985732460824,"score_spread":0.17977687146311666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148885752","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":[0.056954443,0.0000809678,0.942063,0.0000024489757,0.000025948133,0.00020497221,0.0000012039285,0.00014572848,0.00052128616],"genre_scores_gemma":[0.92341626,0.00007072158,0.076112464,0.000002516038,0.000008937228,0.000007727774,8.428785e-7,0.000020888923,0.00035963807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970406,0.000009026943,0.000078702535,0.00007817623,0.00004354574,0.00008648278],"domain_scores_gemma":[0.9998338,0.00002347788,0.000011972982,0.00007875827,0.000023383298,0.000028587305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023096365,0.00008066757,0.000110505214,0.000040323415,0.000020413683,0.0000019941874,0.00002880699,0.000027923288,0.000009516359],"category_scores_gemma":[0.0000028368474,0.000064995445,0.000010628745,0.00007485166,0.000027989487,0.00013271342,0.0000013530533,0.000033088436,0.0000022523957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011449334,0.000007938274,0.00067675475,0.00003877192,0.000020655254,0.0000037851057,0.000986287,0.9698479,0.02818998,0.000023436052,0.00005376549,0.00013927801],"study_design_scores_gemma":[0.002871544,0.00025021908,0.0012291663,0.00006531867,0.000034534296,0.00010155468,0.00046057298,0.8107829,0.18356396,0.000003245008,0.00022057594,0.00041637218],"about_ca_topic_score_codex":0.000008812194,"about_ca_topic_score_gemma":0.000006868995,"teacher_disagreement_score":0.8664618,"about_ca_system_score_codex":0.000014709522,"about_ca_system_score_gemma":0.0000059412287,"threshold_uncertainty_score":0.26504374},"labels":[],"label_agreement":null},{"id":"W2149079777","doi":"10.1109/twc.2011.051311.101191","title":"Downlink Subchannel and Power Allocation in Multi-Cell OFDMA Cognitive Radio Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Orthogonal frequency-division multiple access; Cognitive radio; Telecommunications link; Throughput; Computer network; Frequency-division multiple access; Transmission (telecommunications); Interference (communication); Orthogonal frequency-division multiplexing; Resource allocation; Channel allocation schemes; Power control; Optimization problem; Mathematical optimization; Power (physics); Wireless; Channel (broadcasting); Algorithm; Telecommunications; Mathematics","score_opus":0.030825954349135765,"score_gpt":0.2425764040394429,"score_spread":0.21175044969030712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149079777","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":[0.019554527,0.0009728264,0.97755367,0.000042073218,0.00022741304,0.00052206905,0.000036833153,0.00028912592,0.0008014684],"genre_scores_gemma":[0.98729104,0.0040094685,0.008032649,0.000026336123,0.000007016408,0.00043081594,0.00002515767,0.000059637816,0.00011787526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990297,0.00010384797,0.00036368152,0.00020764726,0.00007126775,0.00022386784],"domain_scores_gemma":[0.99892163,0.00016622346,0.00006372074,0.00066392834,0.00010111578,0.00008339433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120944984,0.00020536633,0.00020324782,0.00024735642,0.000190182,0.000020640839,0.00028874865,0.00016370004,0.00003856641],"category_scores_gemma":[0.0000031524862,0.00024322275,0.00004678416,0.00041288201,0.00011539469,0.00031412937,0.0000043801906,0.00044629458,0.000018147959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046357913,0.0009161904,0.000260354,0.000058278107,0.0000886138,0.0000020574512,0.0073692515,0.96706927,0.0018626474,0.00018443319,0.000017535232,0.022125017],"study_design_scores_gemma":[0.0012345719,0.000041167295,0.0008879476,0.00018664436,0.000045323846,0.000005680227,0.00088144897,0.9906696,0.0056639644,0.000014541913,0.000029372204,0.0003397173],"about_ca_topic_score_codex":0.00010780678,"about_ca_topic_score_gemma":0.00072837976,"teacher_disagreement_score":0.969521,"about_ca_system_score_codex":0.00009904151,"about_ca_system_score_gemma":0.000016419628,"threshold_uncertainty_score":0.9918336},"labels":[],"label_agreement":null},{"id":"W2149295650","doi":"10.1109/tsp.2009.2012904","title":"Nonlinear and Linear Broadcasting With QoS Requirements: Tractable Approaches for Bounded Channel Uncertainties","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Precoding; Mathematical optimization; Bounded function; Quality of service; Telecommunications link; Transmitter; Transmitter power output; Channel (broadcasting); Transmission (telecommunications); MIMO; Mathematics; Computer network; Telecommunications","score_opus":0.04405151188264863,"score_gpt":0.25463619806029103,"score_spread":0.2105846861776424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149295650","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":[0.004905421,0.000296663,0.9935768,0.000043170665,0.000085159605,0.0004622496,0.000013849648,0.00035531024,0.00026136352],"genre_scores_gemma":[0.9289945,0.000016651173,0.070559874,0.000032938737,0.00013661015,0.000075113734,0.000007761306,0.000054150398,0.0001223983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899644,0.000011497888,0.0002728,0.00026995337,0.00014215284,0.00030718328],"domain_scores_gemma":[0.99962807,0.000043238055,0.00006966996,0.00009624693,0.000091094626,0.00007166182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012080831,0.00023461533,0.00022217832,0.00013873423,0.00035887203,0.000104567516,0.00006651983,0.00008847741,0.000003757826],"category_scores_gemma":[0.0000028375832,0.00022059002,0.000036027188,0.00024184801,0.000043728898,0.0007182435,3.396159e-7,0.00017890854,0.0000011350758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009348353,0.000058453425,7.2240596e-7,0.00024054354,0.000025630427,0.0000010019647,0.0005955495,0.9189469,0.0027392104,0.0000040647565,0.0000042044235,0.07729023],"study_design_scores_gemma":[0.0007545652,0.000257941,0.0000011732819,0.00032686477,0.000049839753,0.000018485214,0.0006636366,0.9637747,0.0336882,0.000097942866,0.00009155666,0.0002751105],"about_ca_topic_score_codex":0.000002960277,"about_ca_topic_score_gemma":0.000006404059,"teacher_disagreement_score":0.9240891,"about_ca_system_score_codex":0.0000833213,"about_ca_system_score_gemma":0.000035471927,"threshold_uncertainty_score":0.89954},"labels":[],"label_agreement":null},{"id":"W2149466656","doi":"10.1109/cwit.2011.5872152","title":"Downlink multi-user interference alignment in two-cell scenario","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Telecommunications link; Transmitter; MIMO; Channel state information; Computer science; Transmission (telecommunications); Interference alignment; Degrees of freedom (physics and chemistry); Interference (communication); Topology (electrical circuits); Multi-user MIMO; Channel (broadcasting); Rank (graph theory); Algorithm; Electronic engineering; Telecommunications; Mathematics; Wireless; Engineering; Physics; Combinatorics","score_opus":0.023557578813520278,"score_gpt":0.23694990918248968,"score_spread":0.2133923303689694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149466656","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":[0.012593806,0.000081826685,0.94533455,0.0000037195136,0.00027992146,0.00022897414,0.0000014177862,0.0002789247,0.04119688],"genre_scores_gemma":[0.9142952,0.000022418311,0.08350887,0.000019402863,0.000014699061,0.000024503925,0.0000031747606,0.000023335002,0.002088412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993988,0.000011708811,0.00022020392,0.00014032896,0.000045246492,0.00018366265],"domain_scores_gemma":[0.99971515,0.0000089614805,0.00001905018,0.00019110863,0.000020468895,0.00004525778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006030234,0.0001168939,0.00011200756,0.00007501195,0.000010155862,0.000009253053,0.000112330585,0.000037243088,0.00023044703],"category_scores_gemma":[0.0000055513747,0.00011051411,0.000018265822,0.00009733782,0.000009843816,0.00017891116,0.0000302828,0.000088744484,0.00021011374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025562997,0.00032235807,0.022017526,0.00018329223,0.000030953568,0.00003300177,0.00854449,0.9313054,0.029992525,0.0030347533,0.0006909045,0.0038192535],"study_design_scores_gemma":[0.0035864701,0.0000732964,0.0020994437,0.00021102921,0.000013520399,0.000008592825,0.0010439634,0.77815825,0.21192166,0.0001819132,0.0017631938,0.0009386524],"about_ca_topic_score_codex":0.00017698403,"about_ca_topic_score_gemma":0.00052840007,"teacher_disagreement_score":0.9017014,"about_ca_system_score_codex":0.00010424005,"about_ca_system_score_gemma":0.0000054346588,"threshold_uncertainty_score":0.45066348},"labels":[],"label_agreement":null},{"id":"W2149845570","doi":"10.1109/tvt.2011.2160665","title":"A Cumulant-Based Investigation of the Impact of Secondary Users' Field Size on Spectrum-Sharing Opportunities","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Cumulant; Interference (communication); Channel (broadcasting); Field (mathematics); Aggregate (composite); Spectral density; Computer science; Spectrum (functional analysis); Pessimism; Telecommunications; Mathematics; Statistical physics; Statistics; Physics","score_opus":0.027027451332428086,"score_gpt":0.22803137204915364,"score_spread":0.20100392071672554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149845570","genre_codex":"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":[0.60911316,0.000024274714,0.3897027,0.00007579541,0.00018188811,0.00024437637,0.00002678704,0.00026108028,0.00036994767],"genre_scores_gemma":[0.9981013,0.000017465138,0.0017604934,0.000022471317,0.000005929885,0.000035180812,0.0000014833778,0.000030503388,0.000025154359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992857,0.000022375294,0.00029938278,0.000146552,0.00009034963,0.00015565587],"domain_scores_gemma":[0.99926466,0.000068578105,0.00010419068,0.0004862927,0.00004739935,0.000028880202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006564313,0.00015701544,0.00021446763,0.00031517976,0.00005263698,0.0000031339146,0.00022230478,0.00023593764,0.00009499701],"category_scores_gemma":[0.000013699126,0.00013079339,0.00014104674,0.00036269097,0.0001115911,0.00008492586,0.0000017036326,0.0003352536,0.0000029064038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003943915,0.000051492552,0.00042653564,0.00009210526,0.000117593205,0.000004126394,0.00024034388,0.9543496,0.04266576,0.00034859596,0.000018608223,0.0016458075],"study_design_scores_gemma":[0.0003568565,0.00030071594,0.00025333013,0.00016460277,0.000030067726,0.000009255344,0.00013663326,0.06414101,0.9336015,0.0008730773,0.0000044819926,0.00012847554],"about_ca_topic_score_codex":0.00009862079,"about_ca_topic_score_gemma":0.000030194871,"teacher_disagreement_score":0.8909357,"about_ca_system_score_codex":0.00008565253,"about_ca_system_score_gemma":0.000048358834,"threshold_uncertainty_score":0.53335994},"labels":[],"label_agreement":null},{"id":"W2150017010","doi":"10.1109/vetec.1998.686498","title":"Performance of urban microcellular communication systems with overlapping coverage","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Interference (communication); Computer science; Cellular radio; Diamond; Signal-to-noise ratio (imaging); Degradation (telecommunications); Communications system; Spectral efficiency; Spread spectrum; Shadow mapping; Outage probability; Telecommunications; Electronic engineering; Base station; Code division multiple access; Engineering; Fading; Materials science; Artificial intelligence","score_opus":0.00756822205709375,"score_gpt":0.16546094268735628,"score_spread":0.15789272063026252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150017010","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":[0.6245703,0.00377057,0.31367382,0.000005377862,0.00010405553,0.0003988813,0.000004173296,0.00038997576,0.05708282],"genre_scores_gemma":[0.9950687,0.0003925256,0.0036013466,0.0000031601255,0.000014447855,0.000012755644,0.000008388777,0.000025503738,0.00087312516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995344,0.000011406672,0.00020071065,0.000071783106,0.00007570268,0.00010596635],"domain_scores_gemma":[0.99955195,0.00001851544,0.000054421624,0.0003023356,0.000050280516,0.000022494456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047811925,0.00009024003,0.00013622484,0.00005137873,0.000034228746,0.000012367021,0.000100321944,0.000038833132,0.000030404859],"category_scores_gemma":[0.000002519296,0.00008252685,0.000012965519,0.00015119389,0.000017038856,0.00023638019,0.000010791867,0.00006017298,0.000019011213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023198372,0.000008436895,0.0029505072,0.00019835802,0.000017236247,3.035868e-7,0.00025392242,0.98771036,0.008221351,0.00019141284,0.00028402422,0.0001617909],"study_design_scores_gemma":[0.0002301157,0.000026801636,0.00010563782,0.00016524781,0.000006429138,0.000008867729,0.00006745717,0.99459666,0.0038740162,6.05342e-7,0.0008042431,0.0001139397],"about_ca_topic_score_codex":0.00001804694,"about_ca_topic_score_gemma":0.000001855139,"teacher_disagreement_score":0.37049842,"about_ca_system_score_codex":0.000054395783,"about_ca_system_score_gemma":0.0000020241841,"threshold_uncertainty_score":0.3365347},"labels":[],"label_agreement":null},{"id":"W2150279133","doi":"10.1109/vetecf.2010.5594374","title":"A Simulation Study of the Downlink Capacity of High Speed Wideband MIMO Cellular Systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; MIMO; Wideband; Computer science; Interference (communication); Transmitter; Channel capacity; Cellular network; Channel state information; Antenna (radio); Channel (broadcasting); Electronic engineering; Covariance; Precoding; Topology (electrical circuits); Computer network; Telecommunications; Engineering; Wireless; Mathematics; Electrical engineering","score_opus":0.012172006800868935,"score_gpt":0.21202921917271492,"score_spread":0.19985721237184598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150279133","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":[0.84179217,0.000013792491,0.15645163,0.0000023790574,0.0006812948,0.00061817863,0.0000053875765,0.00006902256,0.0003661679],"genre_scores_gemma":[0.9990524,4.1585633e-7,0.0007812117,8.598498e-7,0.000050893883,0.0000050144326,0.000002177508,0.00001906114,0.000087935274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924606,0.000033700417,0.0003779143,0.00010058087,0.00015046136,0.00009129134],"domain_scores_gemma":[0.9992594,0.00009104328,0.00011165082,0.00038950733,0.00012539452,0.00002301062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013578117,0.00010014938,0.00020622808,0.000049363924,0.000026257063,0.000007705796,0.00012204191,0.00007207436,0.000016083579],"category_scores_gemma":[0.00006368906,0.00007184737,0.000031152416,0.00018750533,0.000022863,0.000101122154,0.00001853375,0.00011535871,0.0000022023587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025934305,0.000046233923,0.0012811873,0.000074513555,0.000020431315,1.2119042e-7,0.00037529087,0.85018605,0.14769797,0.0002873265,0.0000048875177,0.000023403181],"study_design_scores_gemma":[0.0004821057,0.000040556293,0.0010595771,0.00002735078,0.000027498869,6.024387e-7,0.00040835206,0.9344723,0.06329851,0.000057217934,0.000021901278,0.00010399987],"about_ca_topic_score_codex":0.00052124966,"about_ca_topic_score_gemma":0.00020161278,"teacher_disagreement_score":0.15726028,"about_ca_system_score_codex":0.00001847708,"about_ca_system_score_gemma":0.000005235418,"threshold_uncertainty_score":0.29298505},"labels":[],"label_agreement":null},{"id":"W2150417568","doi":"10.1109/vtcf.2006.93","title":"An Uplink SDMA System with Reduced Near-Far Problem and MIMO Channel Correlations","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Microcell; Space-division multiple access; Telecommunications link; Base station; MIMO; Computer science; Channel (broadcasting); Computer network; Electronic engineering; Engineering","score_opus":0.006203016043653511,"score_gpt":0.19396931602799178,"score_spread":0.18776629998433828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150417568","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":[0.24027285,0.00032999832,0.755742,0.000101338,0.00014095202,0.0005254741,0.0000073774713,0.002074922,0.0008050937],"genre_scores_gemma":[0.9754688,0.000017805894,0.024156883,0.000004570646,0.000037905713,0.00016949972,0.000028785773,0.000055855555,0.00005987319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988974,0.00002177375,0.00029546578,0.0003704832,0.00009632625,0.00031857842],"domain_scores_gemma":[0.9991919,0.000014329535,0.00008932709,0.0004633758,0.00018292088,0.000058155645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007710875,0.00025075147,0.0002798812,0.000221572,0.00017568626,0.00006302861,0.00019914538,0.00038230192,0.0000025058441],"category_scores_gemma":[0.0000058586725,0.00024170472,0.000018849078,0.0004850531,0.00019296109,0.00024409124,0.000017273775,0.0002921442,0.000019334642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007817334,0.00003068768,0.00095818576,0.00016023511,0.00004218227,0.000041075386,0.00010558049,0.92932427,0.044189315,0.023779176,0.000049488313,0.0013120031],"study_design_scores_gemma":[0.0005117978,0.00011515917,0.00022947228,0.00023023685,0.000036908346,0.0002284452,0.00022238953,0.9862289,0.01097398,0.00069489476,0.00014798883,0.000379865],"about_ca_topic_score_codex":0.00005129197,"about_ca_topic_score_gemma":0.00008210489,"teacher_disagreement_score":0.735196,"about_ca_system_score_codex":0.000081773345,"about_ca_system_score_gemma":0.000042838816,"threshold_uncertainty_score":0.98564327},"labels":[],"label_agreement":null},{"id":"W2151262405","doi":"10.1109/jsac.2008.080216","title":"A framework for designing mimo systems with decision feedback equalization or tomlinson-harashima precoding","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Computer science; Transceiver; Optimal design; MIMO; Mathematical optimization; Convex optimization; Equalization (audio); Control theory (sociology); Mathematics; Algorithm; Regular polygon; Wireless; Decoding methods; Beamforming; Telecommunications","score_opus":0.0727152185128544,"score_gpt":0.320235052790326,"score_spread":0.2475198342774716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151262405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020138178,0.0007443221,0.9773651,0.000061463514,0.0004050053,0.00078051107,0.000012681918,0.00025577773,0.00023700061],"genre_scores_gemma":[0.65923214,0.0015865589,0.33871335,0.000020174653,0.00013154357,0.00017050914,0.00002561279,0.000080118894,0.000039988143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982324,0.0002084845,0.0007636938,0.00019509872,0.00024762322,0.00035269232],"domain_scores_gemma":[0.996253,0.0019992613,0.00029413195,0.00076606916,0.00056356716,0.0001239859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038622774,0.00025036855,0.0003505411,0.00044059023,0.0005959233,0.00012051822,0.00060794683,0.00018857932,0.0000074429677],"category_scores_gemma":[0.0006956591,0.00021659909,0.00004875243,0.0013195716,0.000044056047,0.00047821173,0.00002284135,0.00066133024,0.000008711575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019468681,0.00009220336,0.0009382619,0.000043509066,0.00005739919,0.00000659909,0.0008390979,0.9943825,0.00091261737,0.0008322956,0.00044170424,0.0012591372],"study_design_scores_gemma":[0.0024362726,0.00044274694,0.00094990723,0.0047266865,0.000057165966,0.0010141527,0.0005226477,0.98402166,0.0022817962,0.0011461801,0.0016594784,0.00074128923],"about_ca_topic_score_codex":0.000005890163,"about_ca_topic_score_gemma":0.00008066765,"teacher_disagreement_score":0.639094,"about_ca_system_score_codex":0.000541411,"about_ca_system_score_gemma":0.00017766126,"threshold_uncertainty_score":0.8832655},"labels":[],"label_agreement":null},{"id":"W2151444885","doi":"10.1109/infcom.2011.5935083","title":"Multicell coordination via joint scheduling, beamforming and power spectrum adaptation","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Base station; Transmitter power output; Scheduling (production processes); Cellular network; Spectral efficiency; Computer network; Multiplexing; Transmission (telecommunications); Wireless network; Interference (communication); Schedule; Wireless; Telecommunications; Engineering; Transmitter; Channel (broadcasting)","score_opus":0.017719778665486036,"score_gpt":0.19784179994317583,"score_spread":0.18012202127768978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151444885","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":[0.02901276,0.000094333474,0.95856535,0.000007126035,0.00020896923,0.0001828684,6.7039e-7,0.00032166354,0.011606253],"genre_scores_gemma":[0.82238907,0.000010965115,0.17735606,0.000007900445,0.000019519244,0.00000846904,0.0000059773693,0.000024029034,0.00017801265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994976,0.0000069627245,0.00018736602,0.00011653596,0.000057421214,0.0001341154],"domain_scores_gemma":[0.99978346,0.000009284902,0.000037515438,0.00009553485,0.000029690926,0.00004454557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007941556,0.0001016081,0.00009192381,0.00008973573,0.00003962629,0.000013365288,0.000028960812,0.000053834643,0.000085619155],"category_scores_gemma":[0.000017463906,0.00010400122,0.000013865278,0.00009628086,0.000011827211,0.0003877225,0.000011954167,0.00006205884,0.000027066742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011858755,0.000036480902,0.0003332948,0.00010903787,0.000039674538,0.0000035191356,0.0055275867,0.9455851,0.03529436,0.0066022277,0.00003247025,0.0064244117],"study_design_scores_gemma":[0.00020715501,0.000025815316,0.00025035665,0.00001907545,0.000007644058,0.0000053191734,0.00043845165,0.9755944,0.022873554,0.0003263495,0.000104344435,0.00014752989],"about_ca_topic_score_codex":0.00004729865,"about_ca_topic_score_gemma":0.000041622796,"teacher_disagreement_score":0.7933763,"about_ca_system_score_codex":0.00004871282,"about_ca_system_score_gemma":0.0000033136796,"threshold_uncertainty_score":0.42410466},"labels":[],"label_agreement":null},{"id":"W2151539067","doi":"10.1109/spawc.2012.6292960","title":"Flexible codebook design for limited feedback downlink systems via smooth optimization on the Grassmannian manifold","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Grassmannian; Codebook; Quantization (signal processing); Telecommunications link; Stiefel manifold; Computer science; Mathematics; Algorithm; Theoretical computer science; Mathematical optimization; Topology (electrical circuits); Pure mathematics; Combinatorics; Telecommunications","score_opus":0.03438378434718496,"score_gpt":0.2303684704459298,"score_spread":0.19598468609874486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151539067","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":[0.00006492424,0.00028408214,0.98398983,0.000076374636,0.0009134346,0.0021020486,0.000011347037,0.00090772484,0.011650245],"genre_scores_gemma":[0.855332,0.000068796755,0.13699242,0.00020878686,0.0006501294,0.0010418022,0.00012135086,0.00023817412,0.005346537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871355,0.000072412906,0.00037916383,0.0001961481,0.00015789669,0.000480809],"domain_scores_gemma":[0.9989634,0.0003039001,0.00008820537,0.00042023716,0.0001097689,0.00011449149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004202308,0.00027499805,0.00023055282,0.00012225355,0.00016381715,0.00008373652,0.00019241864,0.00015733384,0.000056470177],"category_scores_gemma":[0.00004579955,0.000204624,0.00006593124,0.00023143482,0.000015503005,0.00037187463,0.000016572858,0.0001158591,0.00013773769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020505031,0.000023967503,0.000015718393,0.00007502895,0.000038284754,1.7504358e-7,0.0001226506,0.9848827,0.0005632889,0.0066666733,0.007366688,0.00022430359],"study_design_scores_gemma":[0.00038187162,0.00006023689,0.000013942166,0.00006399738,0.000028385983,0.0000052547584,0.00011969333,0.9911991,0.00411443,0.000051360585,0.0036770261,0.00028473677],"about_ca_topic_score_codex":0.0000106857,"about_ca_topic_score_gemma":0.000001917766,"teacher_disagreement_score":0.85526705,"about_ca_system_score_codex":0.0001862676,"about_ca_system_score_gemma":0.000010409174,"threshold_uncertainty_score":0.8344324},"labels":[],"label_agreement":null},{"id":"W2151851437","doi":"10.1109/acssc.2008.5074588","title":"Probabilistically-constrained approaches to the design of the multiple antenna downlink","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Channel state information; Mathematical optimization; Computer science; Telecommunications link; Quality of service; Probabilistic logic; Quantization (signal processing); Convex optimization; Channel (broadcasting); Transmitter; Optimization problem; Control theory (sociology); Mathematics; Algorithm; Regular polygon; Wireless; Computer network; Telecommunications","score_opus":0.0852076171115235,"score_gpt":0.1997326888290228,"score_spread":0.11452507171749929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151851437","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":[0.0016445009,0.000023173416,0.99511576,0.00019718018,0.00010067788,0.000888161,0.0000051734846,0.00013643585,0.0018889587],"genre_scores_gemma":[0.882848,0.0000039385304,0.11681164,0.000028651953,0.000031983775,0.00005776228,0.0000011661537,0.000016018412,0.00020079986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994054,0.00003988533,0.0002116445,0.000106442996,0.0000927425,0.00014391664],"domain_scores_gemma":[0.99943775,0.00016092164,0.000023208324,0.00030801396,0.000035593355,0.000034491743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012955477,0.00009806313,0.00011563539,0.000020216581,0.00006870451,0.0000053189615,0.00020241544,0.0000412839,0.000018290672],"category_scores_gemma":[0.00024655697,0.000050628863,0.000037124133,0.00021401925,0.00008358387,0.00004691933,0.000029773764,0.00007375606,0.000017892122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004974486,0.000013853064,0.00023129288,0.000019639081,0.000011520115,3.4532985e-7,0.00039977106,0.99398303,0.0035157984,0.0012627969,0.00019792178,0.00035904083],"study_design_scores_gemma":[0.0001820691,0.000018123224,0.00048397167,0.000018263594,0.0000065639606,0.000017051749,0.00011264103,0.9948282,0.0038866682,0.0001346834,0.00020919937,0.000102562335],"about_ca_topic_score_codex":0.000005699311,"about_ca_topic_score_gemma":0.000012032292,"teacher_disagreement_score":0.88120353,"about_ca_system_score_codex":0.000026154374,"about_ca_system_score_gemma":0.000017464163,"threshold_uncertainty_score":0.20645851},"labels":[],"label_agreement":null},{"id":"W2151859683","doi":"10.1109/ccece.2008.4564677","title":"Robust transceiver design for geometric mean decomposition systems with limited precoder feedback","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"MIMO; Transmitter; Quantization (signal processing); Computer science; Transceiver; Channel state information; Control theory (sociology); Channel (broadcasting); Algorithm; Singular value decomposition; Detector; Output feedback; Wireless; Telecommunications","score_opus":0.029653695449465348,"score_gpt":0.1875798126759779,"score_spread":0.15792611722651256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151859683","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":[0.0168199,0.0002038073,0.98094815,0.000048627615,0.00017257709,0.00096062425,0.000015431435,0.00040078527,0.00043011946],"genre_scores_gemma":[0.97468823,0.00017109452,0.024576195,0.000032673244,0.00014345929,0.00022331397,0.00002258388,0.00007476344,0.00006766229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982777,0.000008358827,0.00032442663,0.00048542934,0.00017835521,0.00072572957],"domain_scores_gemma":[0.99880594,0.00008586597,0.000055850152,0.00010953728,0.00041945992,0.00052333734],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009690688,0.0004226354,0.00042391365,0.00073862384,0.0001873084,0.00021588978,0.00021622893,0.00019457968,0.000008378548],"category_scores_gemma":[0.000015186413,0.000416555,0.000043754997,0.0007696383,0.000038163005,0.0003769053,0.000007836155,0.00030238272,0.000005489917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053575088,0.00002403914,0.00020909836,0.00026753804,0.0001023111,0.0000134989805,0.0005985363,0.9880523,0.0006492455,0.0042202,0.00062633125,0.0051833172],"study_design_scores_gemma":[0.00065479946,0.0004428843,0.0005343969,0.00023261986,0.0000283321,0.00014536669,0.000020199548,0.996611,0.0004997563,0.000024933719,0.00024673232,0.00055897643],"about_ca_topic_score_codex":0.00027400232,"about_ca_topic_score_gemma":0.00014576201,"teacher_disagreement_score":0.95786834,"about_ca_system_score_codex":0.00029557876,"about_ca_system_score_gemma":0.00016247138,"threshold_uncertainty_score":0.99982864},"labels":[],"label_agreement":null},{"id":"W2151896803","doi":"10.1109/ciss.2008.4558565","title":"Coordinated beamforming for the multi-cell multi-antenna wireless system","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Base station; Telecommunications link; Computer science; Wireless; Antenna (radio); Interference (communication); Signal-to-noise ratio (imaging); Electronic engineering; Antenna array; WSDMA; Noise (video); Real-time computing; Precoding; Telecommunications; Engineering; MIMO; Channel (broadcasting); Artificial intelligence","score_opus":0.02298654133589404,"score_gpt":0.22219392004268038,"score_spread":0.19920737870678634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151896803","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":[0.003960893,0.00041587086,0.9927369,0.000008554518,0.00064297335,0.0009102669,0.000013097092,0.0009433837,0.00036805763],"genre_scores_gemma":[0.9116466,0.000041088784,0.08570322,0.000010804315,0.00005834557,0.0001869232,0.000013118655,0.00007360069,0.0022663258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991551,0.00001127345,0.00030087246,0.00017084854,0.00007137905,0.00029050768],"domain_scores_gemma":[0.9993983,0.00011624195,0.000052309526,0.00027078832,0.00010964744,0.00005270447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010908521,0.00018185892,0.00020191412,0.000055151853,0.0002379603,0.000015606149,0.00017380962,0.00008553177,0.000004178348],"category_scores_gemma":[0.00001795947,0.00013237144,0.000071205264,0.00017096527,0.000026885531,0.00017621751,0.000021248017,0.00009187775,0.000031224594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010123504,0.00004324808,0.0002555209,0.00045517468,0.0000555114,0.000007111692,0.0006421479,0.975717,0.021309337,0.00017429653,0.0004882905,0.0008422137],"study_design_scores_gemma":[0.0011585543,0.000010425593,0.000020535068,0.000045570956,0.000014732037,0.000026555665,0.00090560626,0.98870313,0.008350537,1.808939e-7,0.0005817513,0.00018239993],"about_ca_topic_score_codex":0.000046532736,"about_ca_topic_score_gemma":0.000028645909,"teacher_disagreement_score":0.9076857,"about_ca_system_score_codex":0.00012575516,"about_ca_system_score_gemma":0.000010835669,"threshold_uncertainty_score":0.53979504},"labels":[],"label_agreement":null},{"id":"W2151925996","doi":"10.1109/tvt.2008.925002","title":"Simplified Fair Scheduling and Antenna Selection Algorithms for Multiuser MIMO Orthogonal Space-Division Multiplexing Downlink","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; Computer science; MIMO; Algorithm; Scheduling (production processes); Precoding; Base station; Multi-user MIMO; Multiplexing; Orthogonal frequency-division multiplexing; Greedy algorithm; Spatial multiplexing; Mathematical optimization; Channel (broadcasting); Mathematics; Computer network; Telecommunications","score_opus":0.011999481223550271,"score_gpt":0.24497363102460704,"score_spread":0.23297414980105677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151925996","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08301982,0.00019267244,0.913824,0.0002886177,0.00031511343,0.0007138585,0.000027642227,0.0016086908,0.000009558552],"genre_scores_gemma":[0.86222756,0.00008993827,0.13740999,0.000030174268,0.0000412768,0.000110584544,0.000012619462,0.00005476484,0.000023084525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864393,0.000019790821,0.00036105432,0.00044519876,0.0001188305,0.00041118253],"domain_scores_gemma":[0.9994022,0.00006632846,0.00006742502,0.00024803358,0.0001410445,0.00007495329],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012313019,0.00030340243,0.00031295852,0.00062569766,0.00029305785,0.000032021388,0.000115534036,0.00050653866,0.0000046610094],"category_scores_gemma":[0.000021955664,0.0003282717,0.000099412544,0.00058901677,0.000058145302,0.00024561782,0.0000014496736,0.0004624487,0.000007885465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023658948,0.000050843482,0.000023542147,0.00003400977,0.000043489843,0.000002899996,0.000045510315,0.7857602,0.16702095,0.00014091964,0.000003331873,0.04685064],"study_design_scores_gemma":[0.0011235077,0.0002078135,0.000065203254,0.00008730534,0.000030484434,0.000046720095,0.000104743645,0.89132625,0.10612216,0.0003578508,0.0002111273,0.0003168583],"about_ca_topic_score_codex":0.000003944719,"about_ca_topic_score_gemma":0.000025453503,"teacher_disagreement_score":0.77920777,"about_ca_system_score_codex":0.00012751951,"about_ca_system_score_gemma":0.000014462053,"threshold_uncertainty_score":0.9999169},"labels":[],"label_agreement":null},{"id":"W2151970778","doi":"10.1109/twc.2009.12.090394","title":"Energy-efficient power allocation in OFDM-based cognitive radio systems: A risk-return model","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"","keywords":"Subcarrier; Cognitive radio; Computer science; Orthogonal frequency-division multiplexing; Resource allocation; Mathematical optimization; Interference (communication); Optimization problem; Transmission (telecommunications); Wireless; Computer network; Telecommunications; Algorithm; Channel (broadcasting); Mathematics","score_opus":0.01472270564654043,"score_gpt":0.2402256647842329,"score_spread":0.22550295913769247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151970778","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":[0.010785757,0.0005172223,0.9861049,0.00014619256,0.00020158799,0.00054652535,0.00013274651,0.00054798287,0.0010171023],"genre_scores_gemma":[0.99444485,0.0004933078,0.004384755,0.000056416822,0.000009557276,0.00042679568,0.000060144765,0.000059679136,0.000064476335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843055,0.00021471472,0.00057583867,0.00027339786,0.00020540734,0.00030011556],"domain_scores_gemma":[0.99810565,0.00027530422,0.00013171622,0.0012014483,0.00018377008,0.00010208666],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020589476,0.00028260972,0.00028888177,0.00049111183,0.00029459663,0.000051723466,0.0004609381,0.00018064537,0.0000065731783],"category_scores_gemma":[0.000008234391,0.00033045688,0.00010044386,0.0007660749,0.00007943248,0.00020637785,0.0000018518441,0.00049459515,0.00001698819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022540067,0.00036873354,0.0000052518467,0.000014012354,0.000027982229,6.0802176e-7,0.000618342,0.99198407,0.0012900532,0.00059866515,0.000017272907,0.005052474],"study_design_scores_gemma":[0.00081417296,0.000048466038,0.000032354732,0.00027476327,0.00004481136,0.000003246983,0.00027740627,0.99504125,0.0030715638,0.0000450336,0.00003413045,0.0003128159],"about_ca_topic_score_codex":0.00009612876,"about_ca_topic_score_gemma":0.0002683623,"teacher_disagreement_score":0.9836591,"about_ca_system_score_codex":0.00045314373,"about_ca_system_score_gemma":0.000075438984,"threshold_uncertainty_score":0.99991477},"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":"W2152339012","doi":"10.1109/lcomm.2006.1638613","title":"Global expansion model for mobile networks","year":2006,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"UMTS frequency bands; Computer science; Core network; Cellular network; Generalization; Mathematical optimization; Network planning and design; Mobile telephony; Computer network; Network model; Distributed computing; Core (optical fiber); Telecommunications; Mobile radio; Artificial intelligence; Mathematics","score_opus":0.015425792949159179,"score_gpt":0.2512800604742272,"score_spread":0.235854267525068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152339012","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":[0.005938058,0.0006019885,0.9915786,0.00020384807,0.00019401885,0.00046380254,0.000034726734,0.00040568362,0.0005793143],"genre_scores_gemma":[0.8971228,0.00007742162,0.10181564,0.00016246834,0.00007607368,0.0005246202,0.00014613864,0.000031241874,0.000043570442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942654,0.000018421897,0.00022504792,0.00010347434,0.00004835955,0.00017814366],"domain_scores_gemma":[0.99885404,0.000055881697,0.00003799075,0.0009848609,0.0000417374,0.000025467862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006126519,0.000109904795,0.00010581439,0.000035156274,0.00013508236,0.000024037112,0.00039526063,0.00005777879,9.623413e-7],"category_scores_gemma":[0.0000034729576,0.00012927108,0.000050491155,0.00016844709,0.00004102116,0.0001609984,0.000030468222,0.0000677353,0.000005459447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014861928,0.000012577323,0.000054776774,0.000008731107,0.000005998767,6.529177e-8,0.000022260645,0.98277706,0.0025034328,0.0003918483,0.013500734,0.0007210586],"study_design_scores_gemma":[0.00018997217,0.0000036043655,0.000025585425,0.000015083513,0.000009832322,0.0000015906717,0.000010173213,0.99747187,0.00009358474,0.00016897602,0.0018786958,0.00013103294],"about_ca_topic_score_codex":0.000019940146,"about_ca_topic_score_gemma":0.000093205774,"teacher_disagreement_score":0.89118475,"about_ca_system_score_codex":0.0001626917,"about_ca_system_score_gemma":0.000006231776,"threshold_uncertainty_score":0.5271522},"labels":[],"label_agreement":null},{"id":"W2152939010","doi":"10.1109/glocom.2010.5683558","title":"A Genetic Algorithm for the Global Planning Problem of UMTS Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Genetic algorithm; Computer science; Network planning and design; Mathematical optimization; UMTS frequency bands; Profitability index; Computation; Algorithm; Mathematics; Computer network","score_opus":0.0062871272164136596,"score_gpt":0.2280255832617098,"score_spread":0.22173845604529613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152939010","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":[0.00048377423,0.00029390756,0.99679315,0.0000068725635,0.00031110577,0.0003636633,0.000005397492,0.00012085835,0.0016212643],"genre_scores_gemma":[0.2993369,0.000007185675,0.7003529,0.000008341599,0.00016163896,0.000057171354,0.0000029106568,0.000017026632,0.000055905424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996226,0.0000027159633,0.00014149703,0.000066442895,0.000039218427,0.00012755627],"domain_scores_gemma":[0.99974436,0.00004779051,0.000025554808,0.00012459987,0.000036211222,0.00002150298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053923985,0.00006704142,0.000076894845,0.000009419402,0.000028714878,0.000009362427,0.00008806702,0.0000540317,0.000008507287],"category_scores_gemma":[0.000005086863,0.000048654158,0.000024754763,0.00008564433,0.00001318525,0.000040359566,0.000011190964,0.0000596744,0.0000010591283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.918288e-7,0.0000019767,0.0002246809,0.000013050505,0.000013100797,1.5703414e-7,0.000025028006,0.9483151,0.000104952895,0.00027598927,0.0002127401,0.050812475],"study_design_scores_gemma":[0.00014810992,0.000009845281,0.00031045673,0.000010437268,0.000008355237,0.0000059060035,0.000022364948,0.9980732,0.00015244808,0.00020747156,0.0009927427,0.000058662263],"about_ca_topic_score_codex":0.000008294024,"about_ca_topic_score_gemma":0.000016196715,"teacher_disagreement_score":0.29885316,"about_ca_system_score_codex":0.000012773119,"about_ca_system_score_gemma":0.00000498838,"threshold_uncertainty_score":0.19840589},"labels":[],"label_agreement":null},{"id":"W2153026779","doi":"10.1109/twc.2006.256980","title":"Precoder Design Based on Correlation Matrices for MIMO Systems","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"MIMO; Covariance matrix; Transmitter; Precoding; Computer science; Mathematics; Eigenvalues and eigenvectors; Control theory (sociology); Rank (graph theory); Algorithm; Channel (broadcasting); Telecommunications; Artificial intelligence; Physics","score_opus":0.024479558026361026,"score_gpt":0.24560823574884555,"score_spread":0.2211286777224845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153026779","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":[0.00018188698,0.00026854515,0.9950403,0.00010331451,0.0006495143,0.0014217192,0.00013165009,0.00076558057,0.0014374779],"genre_scores_gemma":[0.9475054,0.0001260435,0.0501441,0.000018055529,0.000041956722,0.0015384922,0.00009545614,0.000090933754,0.00043954633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988262,0.00013209517,0.00045682123,0.00020790391,0.00014660548,0.00023037213],"domain_scores_gemma":[0.9976258,0.00089964573,0.00010486366,0.0011749503,0.00014372876,0.000051013125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001819976,0.00022869502,0.00021739313,0.00030494938,0.00044578617,0.00007232168,0.00039299187,0.00015919641,0.000011567889],"category_scores_gemma":[0.0000044046656,0.00025681127,0.00009966395,0.0004005859,0.000048772898,0.00024201431,0.000001020581,0.00023640887,0.000047420795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024381417,0.0001574117,0.000004890686,0.000061567196,0.00002153952,1.066738e-7,0.00004211822,0.99557513,0.0007510839,0.0005949258,0.000558345,0.00220848],"study_design_scores_gemma":[0.0005631107,0.00006388111,0.000011822311,0.0001412607,0.0000510769,0.0000019004381,0.000040756564,0.99413973,0.0034315898,0.00006487437,0.0012398923,0.00025011293],"about_ca_topic_score_codex":0.00005879323,"about_ca_topic_score_gemma":0.000075662436,"teacher_disagreement_score":0.94732356,"about_ca_system_score_codex":0.00024428798,"about_ca_system_score_gemma":0.000032829787,"threshold_uncertainty_score":0.99998844},"labels":[],"label_agreement":null},{"id":"W2153280860","doi":"10.1109/cnsr.2008.71","title":"Beyond 4G: Open Source Telecom Leveraging MIMO and Distributed P2P Connectivity for Wired Independence","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Computer network; MIMO; Multiplexing; Software-defined radio; Wireless; Channel (broadcasting); Telecommunications","score_opus":0.019223366923323652,"score_gpt":0.2352650138584293,"score_spread":0.21604164693510564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153280860","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":[0.10347657,0.00009006011,0.89366394,0.00003764644,0.0001082292,0.0006388284,0.000030315687,0.00025584523,0.00169858],"genre_scores_gemma":[0.97815454,0.000020639078,0.020989802,0.000032142972,0.000037114227,0.00007647851,0.00004787523,0.00003866075,0.00060277106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992257,0.00001714086,0.00019477375,0.00024413299,0.00008097961,0.000237326],"domain_scores_gemma":[0.99947906,0.0001436975,0.000040345443,0.00019114788,0.000068374364,0.00007738589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013563795,0.00015311762,0.00022376973,0.000043460474,0.00018256415,0.000056302684,0.00017231223,0.000084458734,0.000022064547],"category_scores_gemma":[0.00008677263,0.00016077951,0.000023309864,0.00013798261,0.000030263665,0.00051634153,0.000092380214,0.00008463091,0.0000034981952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051587936,0.000046232308,0.0119982455,0.00015573215,0.000091764756,0.000013402701,0.0010214952,0.9640968,0.006625959,0.0006481859,0.0051669516,0.010083671],"study_design_scores_gemma":[0.0024594038,0.00006132362,0.0037482975,0.000053892625,0.00002036756,0.00017191474,0.00038402353,0.9681531,0.019201363,0.000824444,0.0042452784,0.00067657704],"about_ca_topic_score_codex":0.0000786188,"about_ca_topic_score_gemma":0.00009127629,"teacher_disagreement_score":0.87467796,"about_ca_system_score_codex":0.00008014102,"about_ca_system_score_gemma":0.000021424781,"threshold_uncertainty_score":0.6556398},"labels":[],"label_agreement":null},{"id":"W2153342212","doi":"10.1109/tcomm.2012.100312.110480","title":"Collaborative Sub-Channel Allocation in Cognitive LTE Femto-Cells: A Cooperative Game-Theoretic Approach","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Throughput; Femtocell; Computer science; Computer network; Telecommunications link; Resource allocation; Game theory; Femto-; Resource management (computing); Channel (broadcasting); Channel allocation schemes; Non-cooperative game; Base station; Wireless; Telecommunications; Mathematics","score_opus":0.022966472054573518,"score_gpt":0.2640205141335729,"score_spread":0.2410540420789994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153342212","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":[0.0037761957,0.0008388083,0.98688227,0.000078077595,0.00031447914,0.0011706783,0.00014411901,0.0003336581,0.0064617237],"genre_scores_gemma":[0.9903443,0.0015910126,0.006358656,0.000035469744,0.000027817636,0.0013313639,0.0000938261,0.00007446434,0.00014309437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853575,0.00030864662,0.00043893702,0.00021505197,0.00014204897,0.00035955213],"domain_scores_gemma":[0.99829423,0.00041146687,0.00008026136,0.00081134925,0.00027756704,0.00012510191],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000271421,0.00027831347,0.00026937138,0.00034026313,0.0002527231,0.00004121191,0.00034127542,0.00015460477,0.000021501115],"category_scores_gemma":[0.000019073765,0.00031663163,0.000059859394,0.0012303606,0.0002079332,0.0006590778,0.0000047317135,0.0005196483,0.00009864229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035373112,0.00072642084,0.0000073963233,0.000040513944,0.00009585377,2.76749e-7,0.011067453,0.9810027,0.004352579,0.0012799635,0.000060082046,0.0013314013],"study_design_scores_gemma":[0.0018848592,0.00011540742,0.00007498131,0.00029886732,0.00014676905,0.00001429574,0.0112283435,0.8816655,0.103177756,0.00022784696,0.0002876617,0.0008776936],"about_ca_topic_score_codex":0.000018694607,"about_ca_topic_score_gemma":0.00014842866,"teacher_disagreement_score":0.9865681,"about_ca_system_score_codex":0.00032390974,"about_ca_system_score_gemma":0.00005259437,"threshold_uncertainty_score":0.9999286},"labels":[],"label_agreement":null},{"id":"W2153454622","doi":"10.1109/tap.2007.912956","title":"A Novel Wideband MIMO Channel Model and Experimental Validation","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Cardiff University; McMaster University","keywords":"Wideband; MIMO; Computer science; Transmitter; Robustness (evolution); Channel (broadcasting); Precoding; Electronic engineering; Telecommunications; Engineering","score_opus":0.023369759847088466,"score_gpt":0.22839983108941103,"score_spread":0.20503007124232256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153454622","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":[0.12926655,0.00015037911,0.86986905,0.000027864802,0.00014729175,0.00025274022,0.00001330971,0.00015008397,0.00012272634],"genre_scores_gemma":[0.9957142,0.00028700248,0.0036732145,0.000023361452,0.000021874645,0.00006131311,0.000007926733,0.000027983007,0.00018315519],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945664,0.000009283315,0.00016569532,0.00017003664,0.000083311585,0.00011502975],"domain_scores_gemma":[0.9997817,0.00001290965,0.000027780497,0.00008419366,0.0000371456,0.000056216206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043939282,0.00013388328,0.00011076374,0.00010507259,0.00019012114,0.000021031405,0.00002277091,0.00006668888,0.000004571943],"category_scores_gemma":[0.0000014484335,0.00013549328,0.000020945192,0.00009949782,0.00004221806,0.00036653897,4.8064317e-7,0.00008574034,0.000003011105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025879595,0.0000407258,0.0000025232382,0.000027910672,0.00001160639,8.0069304e-7,0.0008981968,0.7720085,0.226089,0.000017854783,0.0000108180675,0.00086617464],"study_design_scores_gemma":[0.0005195613,0.00005313518,0.00001940118,0.000032776785,0.000008891744,0.00006555848,0.00009671272,0.7956653,0.20337099,0.00002348955,0.000007103621,0.00013705688],"about_ca_topic_score_codex":0.000010200416,"about_ca_topic_score_gemma":0.0000055724804,"teacher_disagreement_score":0.8664476,"about_ca_system_score_codex":0.000036898506,"about_ca_system_score_gemma":0.000007988994,"threshold_uncertainty_score":0.5525255},"labels":[],"label_agreement":null},{"id":"W2153537899","doi":"10.1109/ccece.2005.1557351","title":"Antenna beamwidth effects on capacity of MIMO and multi-beam phased array systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamwidth; Phased array; MIMO; Antenna array; Electronic engineering; Channel capacity; Antenna (radio); Directional antenna; Computer science; Phased-array optics; Array gain; Acoustics; Physics; Engineering; Beamforming; Channel (broadcasting); Telecommunications","score_opus":0.008530163093779793,"score_gpt":0.20197449354826424,"score_spread":0.19344433045448445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153537899","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":[0.14885812,0.000385023,0.84738326,0.0000030751257,0.0003017935,0.0004211544,0.000011149043,0.0002704501,0.0023659784],"genre_scores_gemma":[0.9887252,0.000009654216,0.010933505,0.000004971665,0.00007154585,0.000023231254,0.000008065405,0.000033008684,0.00019084745],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993198,0.000020883117,0.00025044667,0.00015249959,0.000089173984,0.00016721761],"domain_scores_gemma":[0.99960166,0.000087318396,0.000050740913,0.00017975083,0.000038013033,0.000042530002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077192504,0.00015584234,0.0002464055,0.00009107275,0.000026979578,0.000014343422,0.000049580274,0.00007666614,0.0000023607042],"category_scores_gemma":[0.000019788555,0.00014093363,0.000027886346,0.00011700229,0.000023160866,0.00010693019,0.0000026951618,0.00006845303,0.0000058144474],"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":[0.000005692071,0.00003868139,0.00043719696,0.00049391715,0.000017267508,0.0000010670195,0.000044006472,0.15140617,0.847002,0.00035469563,0.00006406235,0.00013522264],"study_design_scores_gemma":[0.0013679756,0.000107229236,0.0007549111,0.0003177686,0.00002020934,0.000009736416,0.00005612546,0.12277781,0.8740765,0.000035045538,0.0001602413,0.0003164339],"about_ca_topic_score_codex":0.00020016603,"about_ca_topic_score_gemma":0.000024272587,"teacher_disagreement_score":0.83986706,"about_ca_system_score_codex":0.000045533518,"about_ca_system_score_gemma":0.0000030157435,"threshold_uncertainty_score":0.57471067},"labels":[],"label_agreement":null},{"id":"W2154252801","doi":"10.1109/isit.2009.5205839","title":"Throughput enhancements in point-to-multipoint cognitive systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cognitive radio; Interference (communication); Throughput; Channel (broadcasting); Lemma (botany); Base station; Computer network; Channel state information; Cognitive network; Topology (electrical circuits); Algorithm; Telecommunications; Mathematics; Wireless","score_opus":0.009208677488210143,"score_gpt":0.24586957369747436,"score_spread":0.23666089620926423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154252801","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":[0.014342894,0.00017267416,0.9569345,0.000038164966,0.00033741668,0.00084374484,0.0000047282806,0.00036202875,0.02696384],"genre_scores_gemma":[0.9933485,0.00002053119,0.0060028103,0.000107508014,0.000055158434,0.000062946005,0.000010830362,0.000022147586,0.0003695612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991463,0.000017163373,0.0003076375,0.00018089643,0.00009830039,0.0002497137],"domain_scores_gemma":[0.9997056,0.000029159828,0.000022537013,0.00012951503,0.000049560756,0.00006362894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008988088,0.00014269527,0.00018370037,0.00012418821,0.000017895816,0.000025302246,0.00006921739,0.000054579523,0.00002878215],"category_scores_gemma":[0.0000377698,0.00014418845,0.000019434769,0.00026811825,0.000004907869,0.0002497021,0.000010796414,0.00007744616,0.00023781206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016637005,0.000048696234,0.00014948231,0.00004846365,0.000017438218,0.000011149288,0.00081494794,0.9790843,0.010950868,0.0012677734,0.00041208047,0.0071781734],"study_design_scores_gemma":[0.003205229,0.00042220642,0.0031754007,0.0016119316,0.000023763998,0.000027768092,0.0041619977,0.9125004,0.07167767,0.00074467424,0.0009496727,0.0014992842],"about_ca_topic_score_codex":0.000027264276,"about_ca_topic_score_gemma":0.000026065003,"teacher_disagreement_score":0.97900563,"about_ca_system_score_codex":0.00015021428,"about_ca_system_score_gemma":0.000005290134,"threshold_uncertainty_score":0.5879835},"labels":[],"label_agreement":null},{"id":"W2154446674","doi":"10.1109/spawc.2005.1506302","title":"Downlink beamforming with per-antenna power constraints","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Beamforming; Duality (order theory); Antenna (radio); Transmitter power output; Computer science; Mathematical optimization; Strong duality; Base station; Optimization problem; Electronic engineering; Mathematics; Control theory (sociology); Telecommunications; Channel (broadcasting); Engineering; Transmitter; Discrete mathematics","score_opus":0.004843166077766539,"score_gpt":0.19613291129912738,"score_spread":0.19128974522136083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154446674","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":[0.007336463,0.00007445039,0.9201629,0.000053280724,0.00008186376,0.0001415191,0.0000030222493,0.0005272206,0.07161925],"genre_scores_gemma":[0.860928,0.0000081638445,0.13819191,0.000050843828,0.00005326184,0.000008132649,0.0000050959334,0.000028174383,0.00072639645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994752,0.0000032414107,0.00014807012,0.000107213025,0.00007324647,0.00019307373],"domain_scores_gemma":[0.9997381,0.000013118071,0.000017114146,0.00014017099,0.00003682516,0.00005468367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004127612,0.00011446812,0.00010736438,0.000050124072,0.000031095864,0.00001690685,0.00005803068,0.00004449165,0.0005269117],"category_scores_gemma":[0.000005390688,0.00009197885,0.000018639901,0.00007690615,0.00003452964,0.0002810353,0.0000077661825,0.00007819214,0.00018516138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000913122,0.000021473556,0.00042735733,0.00003673638,0.00005911085,0.000006752914,0.000789428,0.966403,0.012431773,0.002265536,0.00044824905,0.017101469],"study_design_scores_gemma":[0.0026440208,0.00016779806,0.0003332806,0.00025592808,0.000044391112,0.00049326086,0.0025418743,0.9262194,0.017043734,0.00006550397,0.04863721,0.0015536187],"about_ca_topic_score_codex":0.0000017244384,"about_ca_topic_score_gemma":0.000018957046,"teacher_disagreement_score":0.85359156,"about_ca_system_score_codex":0.00005976074,"about_ca_system_score_gemma":0.000008385184,"threshold_uncertainty_score":0.57693136},"labels":[],"label_agreement":null},{"id":"W2154479524","doi":"10.1109/vetecs.2008.189","title":"Carrier Frequency Offset in Coordinated Multibase MIMO Narrowband Systems","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carrier frequency offset; Telecommunications link; Narrowband; Base station; MIMO; Offset (computer science); Estimator; Computer science; Frequency offset; Transmitter power output; Electronic engineering; Fading; Control theory (sociology); Telecommunications; Engineering; Orthogonal frequency-division multiplexing; Mathematics; Statistics; Beamforming; Transmitter","score_opus":0.01111582869329429,"score_gpt":0.2068895488114013,"score_spread":0.19577372011810704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154479524","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":[0.43357706,0.0031735825,0.533388,0.000051757554,0.0019144744,0.001451396,0.000098344244,0.0018771549,0.02446822],"genre_scores_gemma":[0.9966977,0.000041512907,0.0023719126,0.00000894824,0.000043986412,0.000054463242,0.00003111952,0.000043819393,0.0007064905],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991259,0.00003058441,0.00034651303,0.00017136945,0.00008396757,0.00024165535],"domain_scores_gemma":[0.9995808,0.000028160128,0.000029247303,0.00022261456,0.00006113222,0.00007805029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007779017,0.00015931235,0.00021615306,0.00015311239,0.000045860037,0.000011027627,0.00008580828,0.00010960175,0.0000526019],"category_scores_gemma":[0.00004758054,0.0001586556,0.000025923315,0.00034524186,0.000024619765,0.00024633537,0.000008864118,0.000118859505,0.000041764717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041274648,0.000018600396,0.0074231243,0.00009743195,0.000015223093,0.00009052324,0.00046023194,0.98126566,0.0081010545,0.00038554275,0.0020826547,0.00005581794],"study_design_scores_gemma":[0.001006946,0.000029893621,0.0006346593,0.00016046189,0.000006688106,0.00014017614,0.0004355007,0.99172604,0.0047078063,0.000034417273,0.0005787833,0.00053860777],"about_ca_topic_score_codex":0.00050686474,"about_ca_topic_score_gemma":0.00021089977,"teacher_disagreement_score":0.5631207,"about_ca_system_score_codex":0.00015318845,"about_ca_system_score_gemma":0.000016965128,"threshold_uncertainty_score":0.64697874},"labels":[],"label_agreement":null},{"id":"W2154483208","doi":"10.1109/vetecf.2008.88","title":"Downlink Limited Feedback Transmission Schemes for Asymmetric MIMO Channels","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; MIMO; Channel state information; Beamforming; Computer science; Base station; Multiplexing; Computer network; Precoding; Transmission (telecommunications); Transmitter; Multi-user MIMO; Overhead (engineering); Channel (broadcasting); Spatial multiplexing; Diversity gain; Electronic engineering; Telecommunications; Engineering; Wireless","score_opus":0.019874111250962816,"score_gpt":0.22816342787384297,"score_spread":0.20828931662288017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154483208","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":[0.0029439756,0.000763827,0.98927146,0.000057678004,0.00032077273,0.0004970805,0.0000058439023,0.0007290536,0.005410297],"genre_scores_gemma":[0.81524587,0.00043650577,0.18067065,0.00004701728,0.00021207519,0.00009773198,0.00006528127,0.000082525825,0.0031423233],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992197,0.0000075100133,0.0002494985,0.0001766749,0.00009208654,0.00025452278],"domain_scores_gemma":[0.999572,0.000069326365,0.000025282789,0.00016280152,0.00007973913,0.00009087769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005553688,0.00016248715,0.00018752676,0.0002174251,0.00008719893,0.00001174768,0.000095752,0.000119889846,0.00004197081],"category_scores_gemma":[0.00002800317,0.00015006772,0.00007480782,0.0005314873,0.0000141292685,0.00021151942,0.0000066701864,0.00007322612,0.000044876226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049426966,0.00008555629,0.00016833961,0.00047261946,0.0000988988,0.000007093385,0.00059900567,0.8875482,0.015753562,0.00083151093,0.015256238,0.07912955],"study_design_scores_gemma":[0.0013693043,0.00007204044,0.000061919374,0.000056093108,0.000015435227,0.000025256288,0.000046191886,0.84063375,0.07718928,0.00009719403,0.080015585,0.00041791901],"about_ca_topic_score_codex":0.0000027425467,"about_ca_topic_score_gemma":4.4894966e-7,"teacher_disagreement_score":0.81230193,"about_ca_system_score_codex":0.00005067293,"about_ca_system_score_gemma":0.000009763727,"threshold_uncertainty_score":0.61195844},"labels":[],"label_agreement":null},{"id":"W2154887416","doi":"10.1109/icc.2011.5963273","title":"Stackelberg Game on the Boundary of Coexistence","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stackelberg competition; Mathematical optimization; Computer science; Boundary (topology); Constraint (computer-aided design); Power (physics); Game theory; Feasible region; Convex optimization; Set (abstract data type); Regular polygon; Mathematical economics; Mathematics","score_opus":0.030800197231670035,"score_gpt":0.2148980024785293,"score_spread":0.18409780524685926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154887416","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":[0.06702657,0.00017927591,0.39760256,0.000029028251,0.0004217976,0.00032399976,0.000007081702,0.0003823316,0.53402734],"genre_scores_gemma":[0.9958688,0.000014212912,0.003381323,0.000023245932,0.0000125994075,0.000007822537,8.8618685e-7,0.000013662231,0.0006774559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969894,0.0000060687744,0.0001125741,0.000052576128,0.000053143827,0.00007667337],"domain_scores_gemma":[0.99971396,0.000032493008,0.00001914862,0.00019491058,0.000024223265,0.000015265536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005120626,0.000054754422,0.000063181644,0.000019387106,0.000013735115,0.0000035878272,0.00008612123,0.000021725195,0.00023451154],"category_scores_gemma":[0.000016416741,0.00003669427,0.000017015605,0.00007190373,0.000029894163,0.00006128599,0.000008610158,0.000043607797,0.000055591045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062625215,0.00012115702,0.0011220955,0.0003022591,0.0001469927,0.000009227461,0.010209235,0.722985,0.01433506,0.23705219,0.0104255695,0.0032285783],"study_design_scores_gemma":[0.0010841662,0.0004929322,0.00425177,0.0003898391,0.00004329286,0.000021112415,0.0034828933,0.53186923,0.42711258,0.00799971,0.022141948,0.00111052],"about_ca_topic_score_codex":0.000012859417,"about_ca_topic_score_gemma":0.000008955409,"teacher_disagreement_score":0.92884225,"about_ca_system_score_codex":0.000016366275,"about_ca_system_score_gemma":0.000004329491,"threshold_uncertainty_score":0.25677368},"labels":[],"label_agreement":null},{"id":"W2155056359","doi":"10.1109/vetecs.2009.5073848","title":"Simplified Cross-Layer Optimization for Power Allocation in MIMO-OFDM Systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO; Computer science; Channel state information; Transmitter; Logarithm; Multiplexing; Computational complexity theory; Power (physics); MIMO-OFDM; Mathematical optimization; Transmitter power output; Channel (broadcasting); Convex optimization; Optimization problem; Algorithm; Mathematics; Regular polygon; Wireless; Telecommunications","score_opus":0.013760315144092702,"score_gpt":0.2679813609411155,"score_spread":0.2542210457970228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155056359","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":[0.0048257583,0.00017770477,0.9877664,0.000045495213,0.0004389258,0.00093100907,0.0000058432106,0.0004456478,0.00536321],"genre_scores_gemma":[0.9659756,0.000018272614,0.03321712,0.000047032103,0.000067957335,0.00010565758,0.000079980935,0.00003996458,0.00044840734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900496,0.000014061929,0.0004324015,0.00020600962,0.000091751856,0.00025083128],"domain_scores_gemma":[0.99951285,0.00004195279,0.000051179868,0.00022010294,0.00012534372,0.000048580183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015931239,0.0001611052,0.00018495205,0.00015301847,0.00004018529,0.000083077975,0.000094682175,0.00014040219,0.000029375838],"category_scores_gemma":[0.000051073803,0.00016957377,0.00003445917,0.00025432798,0.000007826929,0.00046282573,0.0000050361714,0.00006191205,0.0000138223895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000117794225,0.000017264709,0.00006977307,0.000040042298,0.0000054285792,3.9209198e-7,0.000084283354,0.9930129,0.0024440424,0.0036625068,0.0002768425,0.00037475207],"study_design_scores_gemma":[0.00052350725,0.000039502578,0.0002383806,0.000034696164,0.0000038818634,0.0000025759493,0.00007390164,0.99672675,0.0016479891,0.00014639564,0.00035432866,0.00020807935],"about_ca_topic_score_codex":0.0000100659745,"about_ca_topic_score_gemma":0.000008166976,"teacher_disagreement_score":0.9611499,"about_ca_system_score_codex":0.00017104491,"about_ca_system_score_gemma":0.000011293742,"threshold_uncertainty_score":0.6915018},"labels":[],"label_agreement":null},{"id":"W2155365122","doi":"10.1109/twc.2004.833413","title":"A Closed-Form Analysis of Fading Envelope Correlation Across a Wideband Basestation Array","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Beamwidth; Fading; Wideband; Macrocell; Base station; Envelope (radar); Covariance matrix; Spatial correlation; Antenna (radio); Antenna array; Narrowband; Computer science; Correlation function (quantum field theory); Covariance; Algorithm; Topology (electrical circuits); Telecommunications; Acoustics; Electronic engineering; Mathematics; Statistics; Physics; Radar; Engineering; Channel (broadcasting); Combinatorics","score_opus":0.01927286934067982,"score_gpt":0.27072009279622977,"score_spread":0.25144722345554993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155365122","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":[0.067608796,0.00007745983,0.9307476,0.000077403514,0.00018681219,0.0003360677,0.00016971043,0.00031182007,0.00048427275],"genre_scores_gemma":[0.97960377,0.0005324805,0.01943169,0.00001693714,0.000007648987,0.00015973156,0.00015137816,0.000046671037,0.000049697846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872696,0.000056409477,0.00061269046,0.00019322199,0.00018348407,0.00022725701],"domain_scores_gemma":[0.9981902,0.00024356754,0.00016541194,0.0011467957,0.00018050925,0.000073470954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017143141,0.00020390136,0.00033858523,0.0005064441,0.0003795636,0.000033680746,0.00036812326,0.00012969547,0.000019611374],"category_scores_gemma":[0.000009462018,0.00023838197,0.00017726973,0.0020449804,0.00011370173,0.000479571,0.0000024184494,0.0002942589,0.000018247641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010797007,0.00011550976,0.0000872268,0.000027504651,0.0003678158,2.2868556e-7,0.003816146,0.9740316,0.012618152,0.00038177927,0.000002305153,0.0085409265],"study_design_scores_gemma":[0.0015923978,0.00008439939,0.0022140204,0.0002979959,0.0010175686,0.0000060874113,0.0018761564,0.9118628,0.0798809,0.00032262038,0.00018014522,0.0006649227],"about_ca_topic_score_codex":0.00015627462,"about_ca_topic_score_gemma":0.0019423191,"teacher_disagreement_score":0.911995,"about_ca_system_score_codex":0.0003526995,"about_ca_system_score_gemma":0.00004271,"threshold_uncertainty_score":0.97209346},"labels":[],"label_agreement":null},{"id":"W2155533060","doi":"10.1109/isit.2010.5513696","title":"Limited feedback design for MIMO-relay assisted cellular networks with beamforming","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Relay; Beamforming; Channel state information; MIMO; Telecommunications link; Quantization (signal processing); Computer science; Transmitter power output; Relay channel; Base station; Upper and lower bounds; Precoding; Control theory (sociology); Channel (broadcasting); Computer network; Power (physics); Telecommunications; Transmitter; Wireless; Mathematics; Algorithm; Physics","score_opus":0.01205337346108483,"score_gpt":0.20034513458822684,"score_spread":0.18829176112714202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155533060","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":[0.0043516466,0.000052005344,0.9919747,0.000012699165,0.00048360255,0.0007410249,0.0000021364497,0.0006718746,0.0017102878],"genre_scores_gemma":[0.4383293,0.0000043102405,0.56054586,0.000017676259,0.00015018792,0.00010640709,0.000037579754,0.00008731266,0.00072134024],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915797,0.000010868836,0.00023706259,0.00018977189,0.000078298086,0.00032605013],"domain_scores_gemma":[0.9993626,0.00013021143,0.000049460552,0.00027300484,0.00009455542,0.00009016123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015496764,0.00019797742,0.00018896553,0.00007352822,0.00008631125,0.000042212796,0.0001166135,0.00017133458,0.000035797675],"category_scores_gemma":[0.000026638802,0.00016831404,0.000041402447,0.00022918089,0.000021493794,0.00023619813,0.000010681564,0.00019977767,0.000011398002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028251216,0.0000097413795,0.000034700937,0.00003056415,0.000033968732,0.0000013431978,0.000037084657,0.97658485,0.020804698,0.00015792678,0.0005360939,0.0017407949],"study_design_scores_gemma":[0.00064227404,0.000056003166,0.000036862795,0.00003190084,0.000026740134,0.0000113424,0.00004054683,0.980442,0.016542649,0.000011663257,0.0018892155,0.00026882108],"about_ca_topic_score_codex":0.000004516477,"about_ca_topic_score_gemma":0.000052862364,"teacher_disagreement_score":0.43397766,"about_ca_system_score_codex":0.000036776375,"about_ca_system_score_gemma":0.000012048764,"threshold_uncertainty_score":0.6863647},"labels":[],"label_agreement":null},{"id":"W2155750052","doi":"10.1109/vetecs.2008.544","title":"Scheduling for MIMO Broadcast Channels with Linear Receivers and Partial Channel State Information","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Channel state information; Computer science; Telecommunications link; Scheduling (production processes); Base station; Multiplexing; Precoding; Channel (broadcasting); Computer network; Multi-user MIMO; Spatial multiplexing; Real-time computing; Telecommunications; Wireless; Mathematics; Mathematical optimization","score_opus":0.012876591880874826,"score_gpt":0.2055764972637127,"score_spread":0.19269990538283785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155750052","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":[0.038526516,0.00005075719,0.9601811,0.000021094285,0.00017019572,0.00040110937,0.0000119191955,0.00026577717,0.0003715004],"genre_scores_gemma":[0.93064845,0.0001853621,0.06867911,0.00003275868,0.00010293888,0.00006983669,0.00005180385,0.000030177875,0.00019955442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999491,0.000004294033,0.00017444871,0.00008499214,0.00006439059,0.00018091568],"domain_scores_gemma":[0.99972403,0.000018874092,0.00003794564,0.00007865965,0.00008030682,0.00006015776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051685227,0.00011380144,0.00011625183,0.00007664827,0.000091150025,0.000017542197,0.00003282726,0.00004211678,0.0000041615626],"category_scores_gemma":[0.00001627856,0.00010338845,0.000013989464,0.00010207929,0.000022267894,0.00086904975,0.0000078975145,0.000050309744,0.000009907258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030425363,0.000002451897,0.000025380165,0.00006378846,0.000014793136,6.440104e-7,0.00124519,0.9972721,0.00008125092,0.000026797716,0.00007342779,0.0011637689],"study_design_scores_gemma":[0.00080104196,0.00006535352,0.000012253987,0.000030762665,0.000005427107,0.000021330783,0.00025923547,0.99148476,0.0051575187,0.000011208706,0.0019873127,0.00016377245],"about_ca_topic_score_codex":0.000010232017,"about_ca_topic_score_gemma":0.0000031216355,"teacher_disagreement_score":0.8921219,"about_ca_system_score_codex":0.00002908053,"about_ca_system_score_gemma":0.0000104452665,"threshold_uncertainty_score":0.42160586},"labels":[],"label_agreement":null},{"id":"W2155877353","doi":"10.1109/twc.2009.081235","title":"Cross-layer based transmit antenna selection for decision-feedback detection in correlated Ricean MIMO channels","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; MIMO; Selection (genetic algorithm); Physical layer; Computer network; Telecommunications; Antenna (radio); Channel (broadcasting); Electronic engineering; Wireless; Artificial intelligence; Engineering","score_opus":0.020173937568809065,"score_gpt":0.27452459012624325,"score_spread":0.25435065255743416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155877353","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":[0.04227034,0.0001361256,0.95474124,0.00013506487,0.00062178273,0.0011828354,0.000056767392,0.00072155584,0.00013426796],"genre_scores_gemma":[0.9837099,0.0002848063,0.015234311,0.00006126567,0.0000293026,0.00047320806,0.000035615343,0.00008302524,0.00008860022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830353,0.00009097748,0.00070330146,0.00034467177,0.00016760844,0.00038988263],"domain_scores_gemma":[0.9980682,0.00054043316,0.00009842992,0.00094563543,0.00024006462,0.00010724323],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023567812,0.00032045125,0.00032307976,0.0006203463,0.0005015286,0.00008322357,0.00047877777,0.00030519895,0.000031093357],"category_scores_gemma":[0.0000160322,0.00038091236,0.00017639268,0.0013212445,0.00006714918,0.0005160415,0.0000011681908,0.00057930173,0.000028955774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017029334,0.0002887534,0.000020586494,0.000030548217,0.000025616666,2.8703852e-7,0.00025345446,0.91292316,0.016108185,0.000030213136,0.000010229018,0.07013869],"study_design_scores_gemma":[0.0016838945,0.0001649604,0.00034441263,0.00027675685,0.000036844158,0.0000078535395,0.000059831567,0.96825916,0.028508147,0.00011127579,0.00018377558,0.0003631038],"about_ca_topic_score_codex":0.000054299067,"about_ca_topic_score_gemma":0.0009037205,"teacher_disagreement_score":0.9414395,"about_ca_system_score_codex":0.00041972863,"about_ca_system_score_gemma":0.00003881242,"threshold_uncertainty_score":0.9998643},"labels":[],"label_agreement":null},{"id":"W2155938432","doi":"10.1109/pacrim.2005.1517252","title":"The effect of noise, fading and interference on the performance of scheduling algorithms in a cross-layer downlink model","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Scheduling (production processes); Telecommunications link; Fading; Physical layer; Beamforming; Algorithm; Non-line-of-sight propagation; Electronic engineering; Computer network; Telecommunications; Wireless; Decoding methods; Engineering; Mathematics; Mathematical optimization","score_opus":0.010824747156950695,"score_gpt":0.2501869576706157,"score_spread":0.23936221051366502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155938432","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":[0.8401115,0.00015676023,0.15863802,0.00001729032,0.00003296258,0.00017819744,0.0000011444387,0.000026224574,0.0008378883],"genre_scores_gemma":[0.99352634,0.000103184204,0.0062614926,0.000004535754,0.000016368902,0.000019778045,4.0032498e-7,0.000012295927,0.00005561189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994647,0.000017623677,0.00024095621,0.00008671752,0.00006786551,0.00012216877],"domain_scores_gemma":[0.9995243,0.00023250704,0.000043837423,0.00015972176,0.00002587963,0.000013750366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031811107,0.00009489951,0.00012976528,0.00004333207,0.000041091203,0.0000151608,0.00011190031,0.00003895353,0.000002484278],"category_scores_gemma":[0.000045426044,0.00005222974,0.000018177207,0.00010830754,0.00004306674,0.00015160034,0.000027112303,0.00012353307,0.0000017001399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001683275,0.000002100712,0.001964443,0.0000550983,0.00000568585,3.8566135e-8,0.00022151422,0.9852234,0.0069718976,0.0001554836,0.0000012005552,0.005382268],"study_design_scores_gemma":[0.00020664441,0.000049339546,0.00019288217,0.000121988654,0.0000021202216,7.476713e-7,0.000023478096,0.8879005,0.111444384,0.000006685166,0.000002135936,0.000049140333],"about_ca_topic_score_codex":0.0000049531445,"about_ca_topic_score_gemma":0.000011175094,"teacher_disagreement_score":0.15341482,"about_ca_system_score_codex":0.000033175394,"about_ca_system_score_gemma":0.0000041174517,"threshold_uncertainty_score":0.21298671},"labels":[],"label_agreement":null},{"id":"W2156430696","doi":"10.1109/wts.2005.1524774","title":"Data link control for multiple input multiple output wireless systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Data link layer; MIMO; Link adaptation; Link layer; Data transmission; Physical layer; Transmission (telecommunications); Computer network; Wireless; Antenna diversity; Channel (broadcasting); Fading; Telecommunications","score_opus":0.021322867471222928,"score_gpt":0.22926055010608615,"score_spread":0.20793768263486323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156430696","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":[0.001307258,0.00046154478,0.9932915,0.000038861064,0.0009148151,0.0013589001,0.0007508513,0.00094584515,0.0009304063],"genre_scores_gemma":[0.97696006,0.000008402321,0.020021413,0.000015906817,0.0007348592,0.00020859746,0.00087230187,0.000096160984,0.001082271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871683,0.000020610229,0.00047857012,0.00032696355,0.000114729555,0.00034230456],"domain_scores_gemma":[0.99865884,0.0003383143,0.00006930282,0.00076705765,0.000105528314,0.00006093615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018344073,0.00021609968,0.00031735917,0.00007876008,0.00007301175,0.000069473186,0.00034919457,0.00013855116,0.000003632489],"category_scores_gemma":[0.000096583935,0.00021066464,0.00004203363,0.0001107187,0.00001702916,0.00039802465,0.00004391841,0.000086542226,0.000036693793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000134462025,0.00001703859,0.0012187847,0.00019402019,0.000034104447,0.0000012657979,0.000013108296,0.9875673,0.0031848652,0.0006333738,0.005684427,0.0014382714],"study_design_scores_gemma":[0.0016951895,0.000013239779,0.00008946306,0.00003761932,0.00001866069,0.0000039529846,0.00004462818,0.97848886,0.000670573,0.00002392347,0.018656567,0.00025729986],"about_ca_topic_score_codex":0.00029443798,"about_ca_topic_score_gemma":0.0004401153,"teacher_disagreement_score":0.9756528,"about_ca_system_score_codex":0.00008286588,"about_ca_system_score_gemma":0.000012531891,"threshold_uncertainty_score":0.8590655},"labels":[],"label_agreement":null},{"id":"W2156668176","doi":"10.1109/twc.2009.090211","title":"Characterization of time variation on 1.9 GHz fixed wireless channels in suburban macrocell environments","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Macrocell; Fading; Doppler effect; Estimator; Wind speed; Antenna height considerations; Wireless; Telecommunications; Statistics; Mathematics; Antenna (radio); Computer science; Base station; Physics; Channel (broadcasting); Meteorology","score_opus":0.01127965431055215,"score_gpt":0.2152346430685094,"score_spread":0.20395498875795726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156668176","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":[0.27153587,0.000021484404,0.72677016,0.00016495866,0.00019554945,0.0005715073,0.00008355453,0.00019926896,0.00045760014],"genre_scores_gemma":[0.99752945,0.00068763626,0.0010460878,0.000046100256,0.000018967981,0.00012447784,0.00016440751,0.00005416738,0.00032870963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860305,0.00012764045,0.0006003392,0.00023506471,0.00019381162,0.00024008121],"domain_scores_gemma":[0.9984903,0.00011157853,0.00015321485,0.0011382377,0.000040260198,0.00006642918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013876005,0.00025020904,0.00031135525,0.00039973453,0.00015168724,0.000024036737,0.00046066262,0.0001759628,0.000039408813],"category_scores_gemma":[0.0000027975075,0.00030671575,0.00007520643,0.0005626776,0.000053817515,0.00035146758,0.0000026699256,0.0003329815,0.000087658234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023608314,0.00039103578,0.000007760547,0.000017734505,0.00002027993,3.9285547e-7,0.00066573994,0.5292039,0.4617492,0.00012874849,0.0000046315035,0.0077869734],"study_design_scores_gemma":[0.00084753765,0.00013178143,0.0011808269,0.00023476807,0.000030354968,0.000002515903,0.000036290094,0.75323194,0.24373558,0.00006787734,0.00013328787,0.0003672666],"about_ca_topic_score_codex":0.000016849379,"about_ca_topic_score_gemma":0.000019804176,"teacher_disagreement_score":0.7259936,"about_ca_system_score_codex":0.0002656831,"about_ca_system_score_gemma":0.000017051683,"threshold_uncertainty_score":0.9999385},"labels":[],"label_agreement":null},{"id":"W2157273370","doi":"10.1109/wcnc.2007.243","title":"Receive Antenna Selection for Spatial Multiplexing Systems Based on Union Bound Minimization","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Transmitter; Spatial multiplexing; Antenna (radio); Mathematical optimization; Computer science; MIMO; Selection (genetic algorithm); Spectral efficiency; Convex optimization; Multiplexing; Optimization problem; Algorithm; Upper and lower bounds; Regular polygon; Mathematics; Telecommunications; Beamforming","score_opus":0.011966441354331803,"score_gpt":0.23653232406826144,"score_spread":0.22456588271392963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157273370","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":[0.0011924951,0.000023971741,0.9939673,0.000011702958,0.0014419537,0.0008635914,0.00001240669,0.00064965483,0.0018369475],"genre_scores_gemma":[0.9703882,0.0000047015897,0.028673394,0.000015480256,0.00037700427,0.000055408025,0.0001589134,0.0000663302,0.00026057125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905086,0.000028174345,0.0003312405,0.0002038428,0.00012490364,0.0002610109],"domain_scores_gemma":[0.99945116,0.00016909101,0.00007130188,0.0001247939,0.00012632765,0.00005729566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033754404,0.00016327054,0.00015124706,0.00021643727,0.00011053279,0.00004554071,0.00005074763,0.00013131987,0.0000111011095],"category_scores_gemma":[0.000074923366,0.00017081354,0.000039141836,0.00019950088,0.000009802455,0.00018955844,0.0000034478594,0.00007001339,0.000010363356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005320999,0.000012186398,0.00037371778,0.00008630692,0.000009440611,3.0918363e-7,0.000049202208,0.9903284,0.0070191235,0.00025194907,0.00021647624,0.0015997068],"study_design_scores_gemma":[0.00072230335,0.0000929395,0.00015929739,0.00008529026,0.000008038388,0.000002346033,0.00009696662,0.9897667,0.0077785417,0.000009772882,0.001086044,0.00019173947],"about_ca_topic_score_codex":0.00019575623,"about_ca_topic_score_gemma":0.00042916092,"teacher_disagreement_score":0.9691957,"about_ca_system_score_codex":0.00040790395,"about_ca_system_score_gemma":0.000016482802,"threshold_uncertainty_score":0.6965574},"labels":[],"label_agreement":null},{"id":"W2157276749","doi":"10.1109/isssta.2006.311783","title":"Vector Quantization of Channel Information in Linear Multi-User MIMO Systems","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Codebook; Channel state information; MIMO; Fading; Transmitter; Quantization (signal processing); Precoding; Computer science; Vector quantization; Algorithm; Control theory (sociology); Channel (broadcasting); Channel capacity; Topology (electrical circuits); Mathematics; Decoding methods; Wireless; Telecommunications; Artificial intelligence","score_opus":0.008792070784980921,"score_gpt":0.21271753793482046,"score_spread":0.20392546714983953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157276749","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":[0.013480267,0.00011339955,0.9845332,0.000004757621,0.00043296049,0.00033534024,0.0000082311735,0.00020891409,0.00088292133],"genre_scores_gemma":[0.9915399,0.000013349176,0.008038423,0.0000027339242,0.000044118944,0.000025264437,0.00009028464,0.000017129127,0.00022878789],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992951,0.000012579449,0.0004434254,0.00005580006,0.00007977528,0.000113304544],"domain_scores_gemma":[0.9997126,0.000014812056,0.00006824315,0.00010884109,0.000080823964,0.00001469803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008099075,0.000088997076,0.00013626242,0.00018923111,0.000010793648,0.000011582715,0.000047111364,0.00007718252,0.00000486421],"category_scores_gemma":[0.00001913583,0.00009054175,0.000016950185,0.00027328622,0.0000064544765,0.0006295106,0.000006609909,0.000042852877,0.000027318658],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021243713,0.000011540308,0.0003748292,0.00017095324,0.0000027341327,1.5093318e-7,0.0001036861,0.99509805,0.0018894495,0.0022089467,0.00009897686,0.000038564074],"study_design_scores_gemma":[0.00033008153,0.0000076159563,0.0008517442,0.000058039586,0.0000021340215,9.997364e-7,0.00014170936,0.99383044,0.004293075,0.0000070104356,0.0003782985,0.00009884196],"about_ca_topic_score_codex":0.00037046836,"about_ca_topic_score_gemma":0.00010893219,"teacher_disagreement_score":0.97805965,"about_ca_system_score_codex":0.0000621267,"about_ca_system_score_gemma":0.0000057792126,"threshold_uncertainty_score":0.36921853},"labels":[],"label_agreement":null},{"id":"W2157550391","doi":"10.1109/icc.2011.5962574","title":"Convex Structure of the Sum Rate on the Boundary of the Feasible Set for Coexisting Radios","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Boundary (topology); Mathematical optimization; Power (physics); Constraint (computer-aided design); Transceiver; Interference (communication); Mathematics; Regular polygon; Computer science; Feasible region; Set (abstract data type); Topology (electrical circuits); Telecommunications; Combinatorics; Mathematical analysis; Geometry; Wireless; Physics","score_opus":0.03317004198788058,"score_gpt":0.22988710836531207,"score_spread":0.19671706637743147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157550391","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":[0.6633214,0.0003599416,0.29138705,0.00036984403,0.0032571228,0.0048716064,0.0004673009,0.00030565547,0.03566012],"genre_scores_gemma":[0.9979035,0.0000023568755,0.0016056504,0.000053957167,0.000030476505,0.00001022533,0.000002428262,0.00002393297,0.00036747046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99949545,0.000042071773,0.00019819824,0.00007651696,0.00007415285,0.00011360133],"domain_scores_gemma":[0.99932027,0.00013383465,0.00010309339,0.00036683594,0.000064110835,0.000011879921],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012383178,0.00009483542,0.0001259614,0.000014571443,0.00009413644,0.000007086092,0.00024618898,0.00004773323,0.00005603248],"category_scores_gemma":[0.000103743274,0.00004342238,0.00006062457,0.00012783772,0.00007071239,0.000049429014,0.000028806138,0.00009150149,6.9228827e-7],"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":[0.00012596782,0.00003636346,0.0054285666,0.0010461147,0.00030762094,3.860223e-7,0.008950436,0.66832435,0.21905075,0.08471577,0.011203554,0.00081014354],"study_design_scores_gemma":[0.00079255877,0.000055898334,0.0035032418,0.00021697608,0.00005094519,0.0000064152873,0.0012334608,0.11479447,0.873087,0.0043967813,0.0016356002,0.00022666056],"about_ca_topic_score_codex":0.000020813026,"about_ca_topic_score_gemma":0.00003558991,"teacher_disagreement_score":0.6540362,"about_ca_system_score_codex":0.000026096202,"about_ca_system_score_gemma":0.000020907913,"threshold_uncertainty_score":0.17707133},"labels":[],"label_agreement":null},{"id":"W2158149749","doi":"10.1109/wcnc.2011.5779365","title":"On the design of linear arrays of fixed length for diversity reception in Rayleigh fading and cochannel interference","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rayleigh fading; Mathematics; Fading; Interference (communication); Antenna (radio); Topology (electrical circuits); Spatial correlation; Omnidirectional antenna; Optimization problem; Mathematical optimization; Mathematical analysis; Computer science; Channel (broadcasting); Algorithm; Telecommunications","score_opus":0.0711990804741757,"score_gpt":0.22357469194769988,"score_spread":0.1523756114735242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158149749","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":[0.06378259,0.000009627396,0.9354648,0.0000024666726,0.000049989925,0.00026868068,0.0000030080466,0.00002188179,0.00039695826],"genre_scores_gemma":[0.96137637,0.000027733318,0.038554028,0.0000025072507,0.0000048969637,0.000008177176,0.0000010878528,0.000006337258,0.00001886428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969643,0.000020854006,0.00012699756,0.000064841464,0.00002958105,0.000061311526],"domain_scores_gemma":[0.99970186,0.00014359789,0.000034951445,0.00007468381,0.000034921348,0.00001001123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001721786,0.000054112217,0.000097987584,0.000050897772,0.000023552855,0.0000011082141,0.000058003854,0.000033780023,0.000016271593],"category_scores_gemma":[0.000063711115,0.000041870684,0.000011991486,0.00006111783,0.000017165505,0.00007513588,0.000023864117,0.000036793608,5.686794e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013323707,0.000026680378,0.00064081996,0.00014333191,0.000020259806,1.2947403e-7,0.009194953,0.9646606,0.020561963,0.0039896304,0.00006371593,0.0005646874],"study_design_scores_gemma":[0.00036986606,0.00014021508,0.00019241693,0.00013471683,0.0000064713777,2.8767977e-7,0.00088921667,0.88887936,0.108154096,0.0011547364,7.686501e-7,0.00007784099],"about_ca_topic_score_codex":0.000026589498,"about_ca_topic_score_gemma":0.000011691247,"teacher_disagreement_score":0.8975938,"about_ca_system_score_codex":0.00001863369,"about_ca_system_score_gemma":0.000001980999,"threshold_uncertainty_score":0.17074369},"labels":[],"label_agreement":null},{"id":"W2158322581","doi":"10.1109/aps.2008.4619497","title":"Macrocell MIMO system analysis using electromagnetic-based and measurement-based models","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Macrocell; MIMO; Electronic engineering; Computer science; Channel (broadcasting); Electromagnetic field; Matrix (chemical analysis); Signal-to-noise ratio (imaging); Electromagnetic environment; Noise (video); Telecommunications; Base station; Engineering; Physics; Artificial intelligence","score_opus":0.02556571957368817,"score_gpt":0.19849975770086878,"score_spread":0.1729340381271806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158322581","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":[0.06868939,0.0005858037,0.92796904,0.0000037990737,0.000039271636,0.00020306386,0.0000038085175,0.00051445764,0.0019913402],"genre_scores_gemma":[0.9140486,0.0000068568397,0.08581779,0.000015374966,0.0000180435,0.000013827304,0.00000850117,0.000039834897,0.000031167296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893266,0.000031298503,0.00028844608,0.00022920461,0.00025040802,0.0002679824],"domain_scores_gemma":[0.99946123,0.000018608678,0.000045305078,0.00024066766,0.00014374527,0.00009046183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013063171,0.00019286906,0.0002885003,0.00029688928,0.00010028965,0.000021697979,0.00007022186,0.00007392316,0.0000150655305],"category_scores_gemma":[0.000006338605,0.00019909556,0.00007506771,0.00065293646,0.000022036951,0.00013578926,0.0000060749157,0.00006491843,0.0000036822346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056247977,0.000008481991,0.00020526742,0.00013263231,0.00009107934,0.000005928508,0.000023598066,0.97064304,0.028787337,0.00004775281,0.000019492294,0.000029738025],"study_design_scores_gemma":[0.00045546185,0.000021222852,0.000028748955,0.00002865086,0.00021439581,0.000007394073,0.00003174248,0.9792302,0.019759092,0.000003842465,0.0000075025464,0.00021169482],"about_ca_topic_score_codex":0.00006268254,"about_ca_topic_score_gemma":0.0000452311,"teacher_disagreement_score":0.8453592,"about_ca_system_score_codex":0.00027909747,"about_ca_system_score_gemma":0.000038758364,"threshold_uncertainty_score":0.81188816},"labels":[],"label_agreement":null},{"id":"W2158405373","doi":"10.1109/icc.2007.718","title":"MIMO Precoders Using Spatial and Path Correlations for Multipath Fading Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Spatial correlation; MIMO; Fading; Uncorrelated; Precoding; Channel (broadcasting); Multipath propagation; Algorithm; Mathematics; Path (computing); Computer science; Topology (electrical circuits); Telecommunications; Statistics; Computer network","score_opus":0.02116479568587825,"score_gpt":0.25405440086588005,"score_spread":0.2328896051800018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158405373","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":[0.03276783,0.00007526445,0.9653097,0.0000032328628,0.00057382893,0.00042905932,0.0000073354913,0.00021750983,0.00061628374],"genre_scores_gemma":[0.85024554,0.0000053829194,0.1494711,0.000006177999,0.000117470365,0.0000108495315,0.000011405961,0.000031017695,0.00010108032],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994511,0.0000039768465,0.00018652275,0.000119601085,0.000041702802,0.0001971043],"domain_scores_gemma":[0.99971503,0.00008920383,0.000029176015,0.00007492112,0.000037516293,0.000054129137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012537022,0.00009855197,0.00010073916,0.00008235688,0.00008451805,0.00001859389,0.000027398846,0.00006627634,0.0000074153186],"category_scores_gemma":[0.000030975767,0.00010538502,0.000021691287,0.000074650685,0.000010653465,0.00019166784,0.000008899163,0.00004551474,0.000001603639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004316134,0.0000039501156,0.0007288521,0.000038042712,0.000010118009,4.4972253e-7,0.0005262177,0.99225336,0.0030240058,0.00014011578,0.000027000755,0.0032435406],"study_design_scores_gemma":[0.0003521782,0.00001167318,0.00012697472,0.000030168085,0.000010120581,0.0000050752783,0.00019166977,0.99690086,0.0020375156,0.00005731197,0.00014487813,0.00013160566],"about_ca_topic_score_codex":0.00004080543,"about_ca_topic_score_gemma":0.00006237452,"teacher_disagreement_score":0.8174777,"about_ca_system_score_codex":0.00006131292,"about_ca_system_score_gemma":0.000004736201,"threshold_uncertainty_score":0.42974764},"labels":[],"label_agreement":null},{"id":"W2158492447","doi":"10.1109/tit.2007.909095","title":"Communication Over MIMO Broadcast Channels Using Lattice-Basis Reduction","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; MIMO; Lattice reduction; Reduction (mathematics); Constellation; Lattice (music); Topology (electrical circuits); Word error rate; Communications system","score_opus":0.012903267006971775,"score_gpt":0.24248664435860254,"score_spread":0.22958337735163076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158492447","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":[0.017482707,0.000063312415,0.97694886,0.000011685921,0.0013691442,0.00035764973,0.000021053303,0.00055316405,0.0031923992],"genre_scores_gemma":[0.9899821,0.000086649095,0.009587432,0.000051291034,0.00006462052,0.000029005769,0.000029306602,0.00003586015,0.00013370131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988695,0.00005773777,0.00055502396,0.00009358182,0.0001810523,0.00024309964],"domain_scores_gemma":[0.99916893,0.000101768936,0.00013179408,0.00039352733,0.00012739204,0.00007658892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062781305,0.00018923962,0.00014489605,0.0004768607,0.0002772511,0.000068221,0.00013175388,0.00015845892,0.00013372552],"category_scores_gemma":[0.000008035666,0.00021656946,0.00007601566,0.00044579865,0.00005263129,0.0024269917,0.0000010991558,0.00026161052,0.00013912862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057721216,0.000022465196,7.093787e-7,0.00005074241,0.000035422785,1.5403903e-7,0.0018783516,0.9522119,0.0012892758,0.0008766704,0.0000473783,0.043529216],"study_design_scores_gemma":[0.0018760099,0.00009100325,0.000049135237,0.0003468533,0.00014263105,0.00011867682,0.0048964564,0.75810486,0.22707534,0.002167716,0.0041429442,0.0009883533],"about_ca_topic_score_codex":0.000015872318,"about_ca_topic_score_gemma":0.0000036676602,"teacher_disagreement_score":0.97249943,"about_ca_system_score_codex":0.000351855,"about_ca_system_score_gemma":0.000016373742,"threshold_uncertainty_score":0.8831446},"labels":[],"label_agreement":null},{"id":"W2158510188","doi":"10.1109/twc.2012.121112.120018","title":"Joint Resource Allocation and User Association for Heterogeneous Wireless Cellular Networks","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":344,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Resource allocation; Software deployment; Throughput; Wireless; Wireless network; Channel (broadcasting); Association (psychology); Association rule learning; Mathematical optimization; Convex optimization; Resource management (computing); Distributed computing; Computer network; Regular polygon; Mathematics; Data mining; Telecommunications","score_opus":0.019629336253178045,"score_gpt":0.23074895557601938,"score_spread":0.21111961932284135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158510188","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":[0.013496236,0.00074347755,0.98368394,0.00021028066,0.000395752,0.0007310655,0.000045642202,0.00044666993,0.00024690462],"genre_scores_gemma":[0.99122524,0.00090866984,0.0065543973,0.000051698848,0.00008755348,0.0006421804,0.00008688435,0.00009558908,0.00034777267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987601,0.00012369052,0.00042207795,0.00017918154,0.00013613106,0.00037882864],"domain_scores_gemma":[0.9983327,0.00034440588,0.00013128297,0.00093191856,0.00012413402,0.00013559463],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032851088,0.00022452048,0.00024227629,0.00014959727,0.0004761167,0.000054447588,0.0002572464,0.00022656092,0.0000066794646],"category_scores_gemma":[0.000007393064,0.00026837704,0.00009377616,0.000259542,0.000049811064,0.00036427606,0.000004969414,0.00031093942,0.000012473049],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000114740305,0.00015019617,0.00006369313,0.000053690444,0.0001205559,7.537762e-8,0.00050798774,0.9791009,0.007423845,0.0006857462,0.0002512539,0.011630585],"study_design_scores_gemma":[0.00058644597,0.000037354075,0.000055626526,0.00008262987,0.000121395715,0.000006877931,0.00016525413,0.9603261,0.030892788,0.000022364376,0.007296391,0.00040679311],"about_ca_topic_score_codex":0.000013499825,"about_ca_topic_score_gemma":0.00006436822,"teacher_disagreement_score":0.977729,"about_ca_system_score_codex":0.00039240567,"about_ca_system_score_gemma":0.00001170994,"threshold_uncertainty_score":0.9999768},"labels":[],"label_agreement":null},{"id":"W2158573590","doi":"10.1109/nof.2015.7333304","title":"LTE-A enhanced Inter-cell Interference Coordination (eICIC) with Pico cell adaptive antenna","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Telecommunications link; Antenna (radio); Interference (communication); LTE Advanced; Topology (electrical circuits); Real-time computing; Computer network; Channel (broadcasting); Telecommunications; Electrical engineering; Engineering","score_opus":0.01438994572944051,"score_gpt":0.20872224074130458,"score_spread":0.19433229501186405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158573590","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":[0.017246692,0.00007105612,0.91568935,0.00001332198,0.00026757648,0.00027389536,0.0000033249732,0.00044062771,0.06599417],"genre_scores_gemma":[0.97363394,0.000008267791,0.021866158,0.000019337376,0.00004415959,0.000038517443,0.000013970882,0.000049590304,0.004326033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991594,0.000024972103,0.0002383615,0.00023015235,0.000116755014,0.00023035369],"domain_scores_gemma":[0.9993042,0.000030606323,0.00006637912,0.00023090089,0.00025346028,0.00011445222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008306911,0.00020921895,0.0001973174,0.00011224842,0.000023160981,0.000033917724,0.00015014745,0.00007233346,0.000038061822],"category_scores_gemma":[0.00001598531,0.00018002227,0.000022858869,0.00024554777,0.000028123455,0.00045030625,0.000034634762,0.00014008505,0.00013975627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035135503,0.00026186058,0.00046073232,0.0002861466,0.00008025402,0.000020562198,0.0072208853,0.6883892,0.29089117,0.00095694134,0.0045530573,0.0065278523],"study_design_scores_gemma":[0.0016235815,0.0005546228,0.000018468087,0.00015168096,0.000020152196,0.0000073884075,0.003167283,0.6664892,0.32706574,0.00012401187,0.00025810988,0.00051979895],"about_ca_topic_score_codex":0.000029770925,"about_ca_topic_score_gemma":0.00008268029,"teacher_disagreement_score":0.9563873,"about_ca_system_score_codex":0.00018838073,"about_ca_system_score_gemma":0.00002556555,"threshold_uncertainty_score":0.7341095},"labels":[],"label_agreement":null},{"id":"W2158656009","doi":"10.1109/rws.2009.4957312","title":"Impact of MIMO channel models on outage capacity","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"MIMO; Channel (broadcasting); Channel capacity; Spatial correlation; Computer science; Antenna (radio); Electronic engineering; Coupling (piping); Antenna array; Telecommunications; Engineering","score_opus":0.023978753923210496,"score_gpt":0.245211235619415,"score_spread":0.2212324816962045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158656009","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":[0.12639177,0.000024716264,0.8359754,0.0000067350243,0.000058763606,0.00013095587,0.000011439247,0.00024534005,0.037154883],"genre_scores_gemma":[0.9963794,0.000008260015,0.0034017758,0.000010693129,0.000025899955,0.0000020453206,0.0000036153942,0.000013362404,0.00015498133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959,0.000005482976,0.00013900698,0.00007786247,0.00006038372,0.00012729537],"domain_scores_gemma":[0.99973744,0.000009482806,0.000021166807,0.00016429876,0.00002737668,0.000040222632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033749428,0.000096169526,0.00013176202,0.000062197505,0.000010467886,0.000004319661,0.000052888787,0.000048470258,0.00002047749],"category_scores_gemma":[0.0000070627725,0.00008164564,0.000056327895,0.00008843428,0.0000054569623,0.0001645131,0.0000026911687,0.000052930005,0.000011417815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035620974,0.000015497564,0.000009589372,0.000007576128,0.000009109355,3.4530441e-7,0.00014971562,0.9948523,0.0035667222,0.0008414142,0.00016834441,0.00037579896],"study_design_scores_gemma":[0.00017878033,0.00010917331,0.0004109086,0.000019991665,0.0000027270733,0.0000014369308,0.000012531566,0.9914481,0.006015821,0.0016907277,0.000002935023,0.00010685461],"about_ca_topic_score_codex":0.000025588479,"about_ca_topic_score_gemma":0.000003190772,"teacher_disagreement_score":0.8699876,"about_ca_system_score_codex":0.00007128398,"about_ca_system_score_gemma":0.0000035652627,"threshold_uncertainty_score":0.33294126},"labels":[],"label_agreement":null},{"id":"W2158945956","doi":"10.1109/tvt.2008.924973","title":"Efficient Sum Rate Maximization and Resource Allocation in Block-Diagonalized Space-Division Multiplexing","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Maximization; Computer science; Telecommunications link; Multiplexing; Selection (genetic algorithm); Mathematical optimization; Block (permutation group theory); Space-division multiple access; Resource allocation; MIMO; Antenna (radio); Scheduling (production processes); Computer network; Beamforming; Mathematics; Telecommunications; Artificial intelligence","score_opus":0.006165000264455048,"score_gpt":0.21188311212874883,"score_spread":0.20571811186429378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158945956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21743609,0.00020818772,0.78063333,0.00044934577,0.00010542032,0.0004038103,0.0000041559715,0.0007065525,0.000053105236],"genre_scores_gemma":[0.9927871,0.00008802719,0.006953057,0.000032023567,0.000009549841,0.000055867415,0.000009008871,0.000036200217,0.000029125504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989227,0.000053391523,0.00032741076,0.000320081,0.00010815919,0.00026827023],"domain_scores_gemma":[0.9995133,0.000045399614,0.0000546007,0.00029019872,0.0000509724,0.0000454834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017546222,0.00020949365,0.00022745233,0.00080026616,0.000108216766,0.000019820805,0.0000972801,0.00031294746,0.0000049116024],"category_scores_gemma":[0.00001926737,0.00023648723,0.000037727365,0.00083491567,0.000049084116,0.0000731246,0.0000013187376,0.00032191304,0.000010398985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001705247,0.000058008354,0.000015391563,0.000016855764,0.000009714036,0.000006380554,0.00009291791,0.9398295,0.049437758,0.00017372091,0.0000043889777,0.010338312],"study_design_scores_gemma":[0.0010185904,0.000071974195,0.00016500604,0.00010973591,0.000011874785,0.000018772522,0.00009316956,0.92475736,0.07313811,0.00015958912,0.00023239135,0.00022339505],"about_ca_topic_score_codex":0.0000059865397,"about_ca_topic_score_gemma":0.000024330733,"teacher_disagreement_score":0.77535105,"about_ca_system_score_codex":0.00016974006,"about_ca_system_score_gemma":0.000009423187,"threshold_uncertainty_score":0.964367},"labels":[],"label_agreement":null},{"id":"W2159698345","doi":"10.1109/ccece.2004.1345053","title":"Performance study of MIMO systems in a clustered multipath channel","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Multipath propagation; MIMO; Fading; Cluster (spacecraft); Envelope (radar); Antenna (radio); Channel (broadcasting); Spatial correlation; Topology (electrical circuits); Antenna array; Computer science; Physics; Statistical physics; Electronic engineering; Mathematics; Telecommunications; Engineering; Computer network","score_opus":0.01359434500092225,"score_gpt":0.21807413217379878,"score_spread":0.20447978717287654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159698345","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":[0.93279123,0.00010972729,0.064815365,0.0000013212726,0.00026096596,0.00070532796,0.0000013070079,0.00015134086,0.001163429],"genre_scores_gemma":[0.99895424,0.000014282374,0.0008526509,0.0000013728153,0.000021233673,0.00006935552,0.0000017994598,0.000023684875,0.00006136256],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993366,0.000011372727,0.00031624743,0.00010913945,0.000083933606,0.00014270077],"domain_scores_gemma":[0.99971944,0.000009110875,0.000035506557,0.00017935103,0.00003135375,0.000025257043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008225312,0.000100985635,0.00018767857,0.00012697409,0.0000125651,0.000005776729,0.00007846438,0.000042123247,0.000001673016],"category_scores_gemma":[0.000007213907,0.000096696065,0.000011918896,0.00022047867,0.000005429001,0.0001680117,0.000015365147,0.00005866416,0.000008422859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052762425,0.00008730211,0.0016345647,0.00014863434,0.000007938414,0.0000019702184,0.002449045,0.99509925,0.0004582358,0.0000108360855,0.000002522714,0.000094425384],"study_design_scores_gemma":[0.002274328,0.00013649186,0.002532771,0.00014815047,0.0000038567127,0.0000043103373,0.004045757,0.98999846,0.0007093597,0.0000022021713,0.00000473438,0.00013957091],"about_ca_topic_score_codex":0.0003045565,"about_ca_topic_score_gemma":0.00026752066,"teacher_disagreement_score":0.06616304,"about_ca_system_score_codex":0.000101897196,"about_ca_system_score_gemma":0.000006144671,"threshold_uncertainty_score":0.39431512},"labels":[],"label_agreement":null},{"id":"W2159749028","doi":"10.1109/icc.2008.250","title":"On the Eigenvalue Distribution of Ricean MIMO Channels by Character Expansion of Groups","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wishart distribution; Mathematics; Unitary matrix; Random matrix; Eigenvalues and eigenvectors; Matrix (chemical analysis); Applied mathematics; Complex normal distribution; Gaussian; Unitary state; Statistics","score_opus":0.010762472758728651,"score_gpt":0.19600257803492113,"score_spread":0.18524010527619247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159749028","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":[0.5926742,0.000063950196,0.40604433,0.000024917708,0.00017282343,0.0001976473,0.00004139299,0.00007130246,0.00070943753],"genre_scores_gemma":[0.9993821,0.00007454674,0.00018935614,0.000012501332,0.000032224296,0.000011797673,0.00010918739,0.000017530927,0.00017078567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994161,0.000022105227,0.00024217182,0.00008911175,0.00011934306,0.00011115507],"domain_scores_gemma":[0.9995942,0.000062921485,0.00006645124,0.0002012769,0.000052360374,0.00002279466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082736224,0.000096558244,0.0001397134,0.000026551563,0.000036284655,0.0000020519255,0.00007959561,0.00005525861,0.000045818786],"category_scores_gemma":[0.00002800718,0.00006882845,0.0000393435,0.00014018556,0.0000288296,0.00010390095,0.000010887155,0.00006024154,0.000012325582],"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":[0.00005810917,0.00016993104,0.0004992271,0.00026031656,0.00009953057,0.0000029972152,0.001964197,0.57188064,0.38442165,0.015573897,0.023914972,0.0011545279],"study_design_scores_gemma":[0.00052869954,0.00014146982,0.0017040536,0.00013206691,0.000016393198,0.000010599033,0.00020188905,0.15784456,0.83825225,0.00026213354,0.00061146717,0.00029440614],"about_ca_topic_score_codex":0.000012391251,"about_ca_topic_score_gemma":4.9279464e-7,"teacher_disagreement_score":0.45383063,"about_ca_system_score_codex":0.000036191283,"about_ca_system_score_gemma":0.0000041183785,"threshold_uncertainty_score":0.28067425},"labels":[],"label_agreement":null},{"id":"W2159801046","doi":"10.1109/tvt.2008.2004494","title":"An Analysis of Probability Distribution of Doppler Shift in Three-Dimensional Mobile Radio Environments","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Probability density function; Doppler effect; Autocorrelation; Spectral density; Mathematics; Mathematical analysis; Probability distribution; SIGNAL (programming language); Statistic; Characteristic function (probability theory); Statistics; Acoustics; Statistical physics; Physics; Computer science","score_opus":0.007184960635725137,"score_gpt":0.20764472109535737,"score_spread":0.20045976045963224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159801046","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49840686,0.00004530694,0.5011922,0.0000042708753,0.00003052139,0.0001919937,0.000056339442,0.0000713251,0.0000011819945],"genre_scores_gemma":[0.9968802,0.000026853346,0.002888526,0.0000010130915,0.0000021643514,0.0001301671,0.000053356427,0.000015943837,0.0000017875416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903524,0.00002876102,0.00041252613,0.00023022466,0.00013674956,0.00015649549],"domain_scores_gemma":[0.9994069,0.000022364347,0.00007000299,0.00044810853,0.000024199417,0.000028433558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087729655,0.0001350919,0.000353903,0.0005323988,0.0000382334,9.738127e-7,0.000121514946,0.00024972262,0.000027250244],"category_scores_gemma":[0.0000030013682,0.00014667613,0.0001000693,0.0011432,0.00017183603,0.00011023436,0.0000010358062,0.00019181846,0.000002543217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014003976,0.00026403755,0.0026235147,0.000016607943,0.00014837978,0.0000031677575,0.00004173282,0.97832435,0.017910447,0.000056130688,5.2919637e-7,0.0005970901],"study_design_scores_gemma":[0.0005763306,0.00019646206,0.013673557,0.000024014274,0.0002088495,0.000013382719,0.000025044952,0.80716735,0.1776142,0.00027633389,0.000018646975,0.00020583902],"about_ca_topic_score_codex":0.000041707037,"about_ca_topic_score_gemma":0.00020401695,"teacher_disagreement_score":0.49847335,"about_ca_system_score_codex":0.0001802886,"about_ca_system_score_gemma":0.000011832143,"threshold_uncertainty_score":0.5981279},"labels":[],"label_agreement":null},{"id":"W2159834749","doi":"10.1002/dac.2719","title":"Performance analysis of multi‐input multi‐output systems with maximum likelihood detection over shadowed fading channels","year":2013,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); McGill University","funders":"","keywords":"Fading; MIMO; Pairwise error probability; Rayleigh fading; Computer science; Spatial correlation; Log-normal distribution; Bit error rate; Algorithm; Channel (broadcasting); Channel state information; Weibull fading; Maximal-ratio combining; Statistics; Mathematics; Telecommunications; Wireless","score_opus":0.015332061759389969,"score_gpt":0.24685940336146922,"score_spread":0.23152734160207925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159834749","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":[0.2982725,0.0018999892,0.6976864,0.000023515999,0.0013498864,0.00045753736,0.0000132931455,0.00007967667,0.00021722679],"genre_scores_gemma":[0.9953923,0.00055186334,0.0036970396,0.0000060868942,0.00013095587,0.00006944635,0.000028947048,0.000047576614,0.00007576964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975288,0.00016661496,0.0013636965,0.00013878412,0.00060542685,0.00019669917],"domain_scores_gemma":[0.9960192,0.00014203669,0.0012357883,0.0005013236,0.00200104,0.00010060691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005763142,0.0002272676,0.00056455977,0.0011102192,0.00007209843,0.00017937335,0.0008011462,0.00012637596,0.000012501476],"category_scores_gemma":[0.00005045936,0.00020110149,0.00015925945,0.0006598061,0.00004633484,0.0011834061,0.0000600948,0.00027565108,0.000011900703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025583751,0.0000574517,0.004439688,0.000046827387,0.0016629758,0.0000013277033,0.0007673989,0.9859557,0.0045917714,0.000025613846,0.000017304063,0.0024083192],"study_design_scores_gemma":[0.0008949579,0.000058481215,0.006183128,0.00059529074,0.0002023823,0.00006084877,0.0007723554,0.9898794,0.00089884945,0.0000031206343,0.0002528105,0.00019837363],"about_ca_topic_score_codex":0.00026854526,"about_ca_topic_score_gemma":0.000033167857,"teacher_disagreement_score":0.69711983,"about_ca_system_score_codex":0.00039862056,"about_ca_system_score_gemma":0.0000317446,"threshold_uncertainty_score":0.82006806},"labels":[],"label_agreement":null},{"id":"W2159841616","doi":"10.1109/glocom.2007.606","title":"For Better or Worse: The Impact of Shadow Fading on the Capacity of Large MIMO Networks","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Fading; Computer science; Beamforming; Bandwidth (computing); Spectral efficiency; Algorithm; Mathematics; Computer network; Telecommunications; Decoding methods","score_opus":0.021305895637327554,"score_gpt":0.2716353336988741,"score_spread":0.25032943806154656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159841616","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":[0.10222203,0.000031040276,0.894826,0.00003718413,0.00010636815,0.00042222024,0.000014216814,0.000048086833,0.0022928256],"genre_scores_gemma":[0.9965056,0.0000047157614,0.0031649177,0.000047687598,0.00009908589,0.000013177095,0.0000033490442,0.000024117498,0.00013732971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938136,0.000014209708,0.0002407009,0.00007174826,0.00006540391,0.00022656309],"domain_scores_gemma":[0.9991833,0.00044828426,0.00006668805,0.00023099585,0.000049207923,0.000021546068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043245938,0.00010262805,0.00014304764,0.000035556644,0.00004545787,0.0000061375617,0.00012224902,0.00006151713,0.000084214575],"category_scores_gemma":[0.000063618405,0.000047310485,0.000091596,0.00017380241,0.000021559164,0.00006314955,0.000011443238,0.00009695899,0.0000012854332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034757308,0.000012859613,0.00079755153,0.000026817535,0.00005616706,1.7373544e-7,0.00028908276,0.9932333,0.0011242104,0.0013860001,0.0025190504,0.0005200361],"study_design_scores_gemma":[0.000450097,0.00009764822,0.001966399,0.00009221864,0.000017705599,0.0000024895828,0.0003156229,0.9846877,0.011726195,0.00018506774,0.0003118178,0.00014703783],"about_ca_topic_score_codex":0.000038722603,"about_ca_topic_score_gemma":0.00010608792,"teacher_disagreement_score":0.8942836,"about_ca_system_score_codex":0.000050813567,"about_ca_system_score_gemma":0.000004466465,"threshold_uncertainty_score":0.19292656},"labels":[],"label_agreement":null},{"id":"W2159931694","doi":"10.1109/tit.2010.2059570","title":"Finite-SNR Diversity-Multiplexing Tradeoff via Asymptotic Analysis of Large MIMO Systems","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Fading; Rayleigh fading; Outage probability; MIMO; Multiplexing; Diversity gain; Channel (broadcasting); Monte Carlo method; Range (aeronautics); Asymptotic analysis","score_opus":0.006208467953776733,"score_gpt":0.20304277104291074,"score_spread":0.19683430308913402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159931694","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":[0.009491039,0.000013694954,0.98659414,0.0000039756264,0.0013128376,0.00028073057,0.00026998037,0.00033981525,0.0016937823],"genre_scores_gemma":[0.9986101,0.000012343489,0.0011559805,0.000020926285,0.000019810808,0.000029991123,0.00006664306,0.000017658382,0.00006655607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887174,0.00005064362,0.00055215147,0.00009677299,0.00021580057,0.0002128991],"domain_scores_gemma":[0.9990988,0.00022233627,0.00015397824,0.0003281095,0.0001212556,0.00007555604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000359001,0.00017752819,0.00028999068,0.00097539177,0.00024244,0.00003422834,0.00016996058,0.00016326072,0.00017987353],"category_scores_gemma":[0.000017770215,0.00019096244,0.0001762296,0.0009014694,0.000037544098,0.0012629963,0.0000022485594,0.00030486417,0.00006951248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022223947,0.000029326267,0.000024810453,0.00010418448,0.0003183234,2.0852694e-7,0.002233595,0.9929295,0.00087249157,0.0016200192,0.000009979206,0.0018352926],"study_design_scores_gemma":[0.0004673641,0.000021822618,0.00010280614,0.000026325495,0.00033363863,0.000002207129,0.0007123689,0.9932773,0.0044977735,0.00006391001,0.00029142006,0.00020302362],"about_ca_topic_score_codex":0.000017972261,"about_ca_topic_score_gemma":0.000033748223,"teacher_disagreement_score":0.98911905,"about_ca_system_score_codex":0.00007218074,"about_ca_system_score_gemma":0.000011196364,"threshold_uncertainty_score":0.7787222},"labels":[],"label_agreement":null},{"id":"W2160044169","doi":"10.1109/isit.2008.4595454","title":"Robust downlink power control using worst-case performance optimization","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Mathematical optimization; Optimization problem; Computer science; Robust optimization; Semidefinite programming; Convex optimization; Power control; Robust control; Quality of service; Channel (broadcasting); Power (physics); Robustness (evolution); Iterative method; Regular polygon; Mathematics; Control system; Engineering; Computer network","score_opus":0.02022284956194049,"score_gpt":0.19971945439333333,"score_spread":0.17949660483139285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160044169","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":[0.05567488,0.00010992777,0.93781334,0.000006006045,0.00030634602,0.0002484728,0.0000038286275,0.00052448834,0.005312711],"genre_scores_gemma":[0.8480623,0.000054468626,0.15155292,0.000029539062,0.0000644687,0.0000062444724,0.000007915657,0.000044089873,0.00017806127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992401,0.000014528154,0.0002703001,0.0001539121,0.0000908785,0.00023028879],"domain_scores_gemma":[0.9995762,0.000021777398,0.000040713137,0.00020655844,0.00008621567,0.00006854692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006495585,0.0001610363,0.0001650169,0.00010161387,0.00014947545,0.000016286289,0.00006034892,0.00009014019,0.00020850336],"category_scores_gemma":[0.000015748612,0.00016109622,0.00003346363,0.00023326628,0.000025474648,0.0005213707,0.000009923354,0.00009909807,0.00003150799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005382181,0.0000076214415,0.00043659884,0.00001661177,0.000013535247,0.000068901856,0.00010701956,0.9989952,0.0001739535,0.000012381007,0.00009020859,0.00007257231],"study_design_scores_gemma":[0.0005596549,0.000014417657,0.000028722914,0.000018741614,0.000009340838,0.0013714517,0.00004147617,0.99744076,0.0002629069,6.3402456e-7,0.00005182872,0.00020007808],"about_ca_topic_score_codex":0.000010080202,"about_ca_topic_score_gemma":0.0000026157957,"teacher_disagreement_score":0.7923874,"about_ca_system_score_codex":0.00011423617,"about_ca_system_score_gemma":0.000013720649,"threshold_uncertainty_score":0.6569313},"labels":[],"label_agreement":null},{"id":"W2160474818","doi":"10.1109/tsp.2009.2021638","title":"Optimal Precoder Design for Correlated MIMO Communication Systems Using Zero-Forcing Decision Feedback Equalization","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Transmitter; MIMO; Fading; Channel state information; Computer science; Precoding; Equalization (audio); Wireless; Channel (broadcasting); Control theory (sociology); Algorithm; Mathematics; Telecommunications; Artificial intelligence","score_opus":0.03965675741584357,"score_gpt":0.28071598437336515,"score_spread":0.24105922695752158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160474818","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":[0.0037809117,0.00083155214,0.9931362,0.000008018261,0.00036018342,0.0011394989,0.000012544201,0.0006453444,0.0000857259],"genre_scores_gemma":[0.7979737,0.000040695442,0.20170388,0.000016498338,0.000037800743,0.000066528526,0.000019032414,0.00008172428,0.000060128525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982736,0.00009258112,0.00069976033,0.00032701227,0.00024085322,0.0003661703],"domain_scores_gemma":[0.99887717,0.00025164883,0.00019541998,0.0002745012,0.00030598856,0.00009529493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039588776,0.0003193883,0.00032301433,0.0003155687,0.0005991141,0.00022400204,0.00019379397,0.00025345312,0.000010361831],"category_scores_gemma":[0.000010453311,0.0003530043,0.00008773031,0.0005801625,0.000028739343,0.0010797292,9.453765e-7,0.00026383807,0.000008400764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012920095,0.00004896686,5.703826e-7,0.00010185283,0.000022739674,4.7998446e-7,0.0004419604,0.94295126,0.017131835,0.000012938004,0.000038014306,0.03912017],"study_design_scores_gemma":[0.0008254993,0.0001139459,0.0000013928754,0.0010231666,0.00008396705,0.00002312354,0.00016515916,0.97241837,0.024801394,0.00015103312,0.0000317785,0.00036118572],"about_ca_topic_score_codex":0.000006129558,"about_ca_topic_score_gemma":0.0000014809125,"teacher_disagreement_score":0.7941928,"about_ca_system_score_codex":0.00038612264,"about_ca_system_score_gemma":0.000060556304,"threshold_uncertainty_score":0.9998922},"labels":[],"label_agreement":null},{"id":"W2160922545","doi":"10.1109/isit.2008.4595086","title":"On the capacity of MIMO Rician broadcast channels","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rician fading; Telecommunications link; MIMO; Mathematics; Fading; Computer science; Algorithm; Combinatorics; Telecommunications; Beamforming","score_opus":0.0234494933893308,"score_gpt":0.20013823235367106,"score_spread":0.17668873896434026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160922545","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":[0.26002505,0.00006894944,0.6697255,0.00007404307,0.0004409964,0.0002711926,0.0000065551667,0.0002812155,0.06910652],"genre_scores_gemma":[0.9979616,0.000017865907,0.001425471,0.000034982444,0.000039008337,0.000007817712,0.0000010502422,0.000014482546,0.00049775577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996541,0.000010523804,0.000116536015,0.00005846146,0.00006576582,0.00009458544],"domain_scores_gemma":[0.99972486,0.00004885766,0.000019517574,0.0001623874,0.000025425617,0.000018933048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004020335,0.00006707157,0.00008419404,0.000031107254,0.000037900118,0.000002257596,0.000068144866,0.000030990588,0.00007154249],"category_scores_gemma":[0.000020180327,0.000046468107,0.000024087263,0.00011512918,0.000025574864,0.000051193565,0.0000061159244,0.00005559188,0.000043167416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016084902,0.0000101287915,0.000051442174,0.000015043693,0.000010577529,9.894645e-7,0.0005032321,0.990163,0.0023385189,0.0045219925,0.0022172967,0.00016617111],"study_design_scores_gemma":[0.00066059316,0.00013217895,0.0007839434,0.00012696141,0.000013000702,0.000056147863,0.0004357093,0.7528852,0.2387647,0.0015499466,0.004021926,0.0005696516],"about_ca_topic_score_codex":0.00002328309,"about_ca_topic_score_gemma":0.0000041317408,"teacher_disagreement_score":0.7379365,"about_ca_system_score_codex":0.000022454658,"about_ca_system_score_gemma":0.000002576881,"threshold_uncertainty_score":0.18949145},"labels":[],"label_agreement":null},{"id":"W2160996469","doi":"10.1109/ccece.2007.86","title":"Statistically Robust Transceiver Design for Broadcast Channels with Uncertainty","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Base station; Computer science; Transceiver; Precoding; Channel state information; Channel (broadcasting); Metric (unit); MIMO; Computer network; Mathematical optimization; Wireless; Mathematics; Telecommunications; Engineering","score_opus":0.022665267486794632,"score_gpt":0.23165758146004203,"score_spread":0.2089923139732474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160996469","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":[0.00012492044,0.000033829016,0.99642766,0.000010418718,0.0001290093,0.0006262476,0.000015400648,0.00032313904,0.0023093803],"genre_scores_gemma":[0.3860317,0.000005631341,0.6131748,0.000022151553,0.000068962414,0.000039774117,0.000019116527,0.000049189028,0.0005886776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931395,0.000006838248,0.00017797684,0.00014002375,0.00007875037,0.00028243623],"domain_scores_gemma":[0.9995476,0.00016477884,0.000016371134,0.00010616744,0.00008687065,0.00007819736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017453758,0.0001312946,0.0001317441,0.000052587973,0.0000394776,0.00001759561,0.000060282797,0.00005390295,0.000053515025],"category_scores_gemma":[0.000015869284,0.00010955434,0.000019776433,0.00011447989,0.000021873915,0.00011852683,0.0000017262283,0.00005054877,0.000009105126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007147235,0.00000822865,0.0000037878472,0.000049952265,0.000021951579,0.00000383761,0.00015918577,0.993646,0.0006216145,0.0011683799,0.0005331151,0.003712463],"study_design_scores_gemma":[0.0009797957,0.00016275323,0.000019977597,0.00003630521,0.000021353175,0.00001124867,0.00014947445,0.99210507,0.0047704554,0.00018867636,0.0012759332,0.0002789566],"about_ca_topic_score_codex":0.0000070522387,"about_ca_topic_score_gemma":0.00003498452,"teacher_disagreement_score":0.38590676,"about_ca_system_score_codex":0.0000689002,"about_ca_system_score_gemma":0.000011260789,"threshold_uncertainty_score":0.44674963},"labels":[],"label_agreement":null},{"id":"W2160998689","doi":"10.1109/surv.2011.092311.00031","title":"Green Cellular Networks: A Survey, Some Research Issues and Challenges","year":2011,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Cellular network; Computer science; Efficient energy use; Standardization; Software deployment; Base station; Open research; Telecommunications; Computer network; Risk analysis (engineering); Business; Engineering; World Wide Web","score_opus":0.25626003410488657,"score_gpt":0.3461018400603384,"score_spread":0.08984180595545183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160998689","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":[0.039043825,0.6453361,0.2720124,0.0009833992,0.014611393,0.004985446,0.00038166702,0.0036842339,0.018961528],"genre_scores_gemma":[0.9208154,0.072739765,0.0051005916,0.0000043878736,0.00063644093,0.00018895489,0.000101010584,0.00010039093,0.00031306155],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9935267,0.0050095823,0.0005334624,0.00028298522,0.00022398477,0.0004232665],"domain_scores_gemma":[0.9954331,0.0015516442,0.00008438648,0.002349891,0.00045535687,0.00012560471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011084276,0.00022204356,0.00038804408,0.00022581042,0.00031299095,0.00005647784,0.0009989067,0.00021333018,0.000018427954],"category_scores_gemma":[0.0003767215,0.00024381367,0.00003776091,0.0004343825,0.0003083912,0.0004959555,0.00025642023,0.00037977277,0.000059622722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004037817,0.0038968842,0.050482668,0.0041869297,0.004654637,0.00008965869,0.1177683,0.21315312,0.064560466,0.19351192,0.04412144,0.3031702],"study_design_scores_gemma":[0.008338562,0.0011866335,0.23000138,0.0021707998,0.00040620755,0.00007268108,0.0062789917,0.32637167,0.03520099,0.0467408,0.33281258,0.010418708],"about_ca_topic_score_codex":0.0033796942,"about_ca_topic_score_gemma":0.0026338205,"teacher_disagreement_score":0.88177156,"about_ca_system_score_codex":0.00009579195,"about_ca_system_score_gemma":0.0000287729,"threshold_uncertainty_score":0.9942433},"labels":[],"label_agreement":null},{"id":"W2161207965","doi":"10.1109/ciss.2008.4558661","title":"Improved sum-rate optimization in the multiuser MIMO downlink","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Telecommunications link; MIMO; Transmitter; Channel state information; Computer science; Decoding methods; Zero-forcing precoding; Mathematical optimization; Channel (broadcasting); Constraint (computer-aided design); Mathematics; Control theory (sociology); Algorithm; Telecommunications; Wireless","score_opus":0.011480384735705392,"score_gpt":0.21132433332149034,"score_spread":0.19984394858578494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161207965","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":[0.010729964,0.00009460259,0.98346,0.0000675746,0.00019284249,0.0004024256,0.0000029816865,0.00027014237,0.0047794837],"genre_scores_gemma":[0.9393149,0.00016168709,0.059729375,0.000112598966,0.00006839899,0.00006050622,0.000036302863,0.000035234334,0.00048096827],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993742,0.000037476082,0.00022653288,0.0001245567,0.000060161743,0.00017704048],"domain_scores_gemma":[0.9996366,0.000053053565,0.000024149578,0.0002258896,0.000036623678,0.000023668483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013332977,0.000117890806,0.00010613409,0.0000724187,0.000051901734,0.000014664433,0.00012420738,0.00007093306,0.00004766811],"category_scores_gemma":[0.000035286972,0.0000874903,0.000024721274,0.0002787245,0.00001736816,0.00025361014,0.000010162486,0.0001073021,0.000025007295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002544816,0.000010169563,0.00020800559,0.000010826508,0.0000038074866,0.0000035561766,0.0004814086,0.99766415,0.0011450405,0.000038646333,0.00029102754,0.00014082639],"study_design_scores_gemma":[0.00038392202,0.000008516634,0.00033938163,0.000007086823,0.0000023574514,0.000009797861,0.00011708598,0.99765795,0.0009945708,0.0000068626737,0.00034947915,0.00012295591],"about_ca_topic_score_codex":0.00004141401,"about_ca_topic_score_gemma":0.000074842894,"teacher_disagreement_score":0.928585,"about_ca_system_score_codex":0.000048737264,"about_ca_system_score_gemma":0.000007821204,"threshold_uncertainty_score":0.3567751},"labels":[],"label_agreement":null},{"id":"W2161209335","doi":"10.1109/twc.2007.05447","title":"Fundamental limits of spectrum-sharing in fading environments","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1016,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fading; Licensee; Computer science; Interference (communication); Channel (broadcasting); Telecommunications; Channel state information; Fading distribution; Computer network; Electronic engineering; Wireless; Engineering; License","score_opus":0.026189272418911745,"score_gpt":0.262069106762681,"score_spread":0.23587983434376927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161209335","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":[0.14778382,0.00013593165,0.8496833,0.000023427468,0.00016616956,0.00023146643,0.00001506771,0.000111121575,0.0018497407],"genre_scores_gemma":[0.993597,0.0006709723,0.0055519626,0.000007579276,0.000008096278,0.000041724754,0.000007398695,0.0000417497,0.000073535826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990524,0.000023453842,0.00045254733,0.00014103744,0.00011191251,0.00021866044],"domain_scores_gemma":[0.99885046,0.00013806175,0.00006265914,0.0008873362,0.000008778079,0.000052715925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017928018,0.00013789478,0.00017197247,0.00031459436,0.00011424582,0.00001026219,0.00043032717,0.00008083305,0.000021136082],"category_scores_gemma":[0.0000016561203,0.00017575099,0.00005466956,0.00038261147,0.00007271797,0.00021560103,0.0000038234625,0.00030536178,0.0000221924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010794047,0.00021268155,0.000546228,0.000029566487,0.00003633621,0.0000010655252,0.00084919,0.9323356,0.053261604,0.00028975678,0.0000017207013,0.012425461],"study_design_scores_gemma":[0.0015335785,0.000087133114,0.0028769225,0.00060084247,0.00004694708,0.000017417991,0.0014120402,0.4646675,0.5274282,0.00029317228,0.0003660821,0.00067017524],"about_ca_topic_score_codex":0.00004109966,"about_ca_topic_score_gemma":0.0006135658,"teacher_disagreement_score":0.84581316,"about_ca_system_score_codex":0.0003169072,"about_ca_system_score_gemma":0.000006545494,"threshold_uncertainty_score":0.71669173},"labels":[],"label_agreement":null},{"id":"W2161830486","doi":"10.1109/vetec.1990.110319","title":"The transition to digital cellular","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Software deployment; Computer science; Cellular network; Computer network; Software engineering","score_opus":0.005962281325330837,"score_gpt":0.164417189208284,"score_spread":0.15845490788295316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161830486","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":[0.0018718776,0.00010645588,0.95697105,0.0001268861,0.000118612785,0.000093349736,0.0000015151493,0.00024650167,0.04046374],"genre_scores_gemma":[0.99691707,0.00001042776,0.001280207,0.000020600135,0.00004380264,0.000008814203,0.0000019854901,0.00001224045,0.0017048493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977744,0.0000020391271,0.0000650491,0.000040832154,0.000035606492,0.000079018435],"domain_scores_gemma":[0.9998663,0.000013205394,0.0000027566157,0.00008287949,0.000009294906,0.000025533482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000014856117,0.00003902914,0.000027982082,0.000012262266,0.000034768553,0.00003792891,0.000035793284,0.00001429115,0.00004648211],"category_scores_gemma":[0.0000049515834,0.000028764069,0.000012278895,0.00006981733,0.000003493919,0.0001233024,0.0000022289876,0.000020716338,0.00032310095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.8356784e-7,0.0000033057827,0.0000019934625,0.0000050737603,0.0000048299494,9.578476e-7,0.00034101293,0.9756104,0.002994384,0.0005164143,0.004654859,0.015866185],"study_design_scores_gemma":[0.00011279395,0.000016180054,0.0000040748037,0.000007697233,0.000002275983,0.000003137322,0.00015534631,0.9527973,0.008784194,0.00016082863,0.0378191,0.00013705848],"about_ca_topic_score_codex":3.8059758e-7,"about_ca_topic_score_gemma":0.000001548189,"teacher_disagreement_score":0.9950452,"about_ca_system_score_codex":0.000017311557,"about_ca_system_score_gemma":2.4066472e-7,"threshold_uncertainty_score":0.41529167},"labels":[],"label_agreement":null},{"id":"W2161873235","doi":"10.1109/twc.2008.080188","title":"On physically-based normalization of MIMO channel matrices","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Normalization (sociology); MIMO; Computer science; Channel capacity; Topology (electrical circuits); Channel (broadcasting); Antenna (radio); Electronic engineering; Perspective (graphical); Telecommunications; Mathematics; Algorithm; Engineering; Artificial intelligence; Combinatorics","score_opus":0.014570289241335431,"score_gpt":0.24608593935900344,"score_spread":0.231515650117668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161873235","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":[0.0048347386,0.00008886817,0.9923724,0.0002340999,0.00014714482,0.0003180509,0.000056063967,0.00042655782,0.0015220686],"genre_scores_gemma":[0.99346656,0.00033751372,0.0059114117,0.00007868742,0.000013731792,0.00007818509,0.000039564664,0.00003660614,0.00003773197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909556,0.00006548281,0.0003689628,0.00014392403,0.0001591035,0.00016699747],"domain_scores_gemma":[0.9983744,0.00019349076,0.00009856696,0.001150213,0.00012551823,0.00005778806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006858782,0.00018235961,0.00021447013,0.00027782776,0.00019562292,0.000017714876,0.00044804218,0.00009558252,0.000013457553],"category_scores_gemma":[0.0000037581526,0.00020368902,0.00009713725,0.00062620314,0.00005868191,0.00025518157,0.0000010059616,0.00022772331,0.000030501944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015473195,0.0003261831,6.5502e-7,0.00003126771,0.000019717481,1.495982e-7,0.00016657112,0.983965,0.005700867,0.001937266,0.000044453613,0.0077924095],"study_design_scores_gemma":[0.00048809932,0.00014532793,0.0000350154,0.00018538965,0.00003732691,0.0000010022223,0.00004495723,0.94091666,0.057450525,0.0003701843,0.00008934644,0.00023617769],"about_ca_topic_score_codex":0.000010537592,"about_ca_topic_score_gemma":0.000027027614,"teacher_disagreement_score":0.98863184,"about_ca_system_score_codex":0.00009248806,"about_ca_system_score_gemma":0.000022061507,"threshold_uncertainty_score":0.83061975},"labels":[],"label_agreement":null},{"id":"W2161973576","doi":"10.1109/access.2015.2475237","title":"Vector Perturbation Precoding for Multi-User CoMP Downlink Transmission","year":2015,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Zero-forcing precoding; Telecommunications link; Computer science; Base station; Minification; Interference (communication); Transmission (telecommunications); Electronic engineering; Control theory (sociology); Channel (broadcasting); MIMO; Telecommunications; Engineering; Artificial intelligence","score_opus":0.08470479855883827,"score_gpt":0.3261623529379937,"score_spread":0.24145755437915545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161973576","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":[0.007638043,0.00022689354,0.9896437,0.000032955337,0.001137176,0.0005425049,0.0000114953,0.0003886544,0.00037858443],"genre_scores_gemma":[0.9322863,0.000028211654,0.06622009,0.000030283063,0.00033212997,0.0001536362,0.00005528404,0.00007142498,0.0008225948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993696,0.000014264743,0.00020718662,0.00015342078,0.00008611351,0.00016938805],"domain_scores_gemma":[0.99957776,0.000042025116,0.00003857051,0.00013644142,0.00011271163,0.00009251687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010225083,0.00012463827,0.00013982337,0.00006669056,0.000047345202,0.000065211425,0.00017009099,0.000086100044,0.000008738223],"category_scores_gemma":[0.000031877655,0.00012030398,0.00003672326,0.00011859349,0.0000073673964,0.0006947306,0.0000075355592,0.00006674118,0.000012087004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023991874,0.000021145495,0.00022127974,0.00016557184,0.000016801165,6.689379e-7,0.00070177775,0.98154205,0.007094071,0.000093111,0.0021999178,0.007919623],"study_design_scores_gemma":[0.001132347,0.000021576916,0.00011747588,0.000071446935,0.0000136763365,0.000002415808,0.000033306696,0.96120113,0.025716243,0.000102150414,0.011379559,0.0002086465],"about_ca_topic_score_codex":0.0000055332157,"about_ca_topic_score_gemma":0.0000073014367,"teacher_disagreement_score":0.9246483,"about_ca_system_score_codex":0.000112455404,"about_ca_system_score_gemma":0.000014676697,"threshold_uncertainty_score":0.4905854},"labels":[],"label_agreement":null},{"id":"W2162210517","doi":"10.1049/iet-net.2012.0224","title":"Doppler frequency estimation‐based handover algorithm for long‐term evolution networks","year":2013,"lang":"en","type":"article","venue":"IET Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Handover; Computer science; Real-time computing; Term (time); Interference (communication); Macro; Telecommunications link; Doppler frequency; Cellular network; Simple (philosophy); Computer network; Scheme (mathematics); Algorithm; Doppler effect; Channel (broadcasting)","score_opus":0.006389375785722889,"score_gpt":0.21158969675716655,"score_spread":0.20520032097144367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162210517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018481113,0.0015217261,0.99465525,0.000016118463,0.0014092553,0.0012153148,0.0000109030625,0.00061091234,0.000375701],"genre_scores_gemma":[0.74581796,0.00005445034,0.25154623,0.00007193478,0.00093842397,0.00081160566,0.00041775007,0.00012065036,0.00022098923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872416,0.000025597044,0.00038770543,0.00026053842,0.00011813926,0.00048383535],"domain_scores_gemma":[0.9991897,0.00009702902,0.0000930583,0.0003458415,0.00015725408,0.00011714749],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000115214774,0.00026347957,0.00024580362,0.000083798994,0.00012137451,0.00009448512,0.00015556213,0.00026350477,0.00012261557],"category_scores_gemma":[0.000017094519,0.00027640242,0.000096124764,0.00027209165,0.000031861,0.0005389529,0.000016119855,0.0001920408,0.000046749632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027035553,0.000012166029,0.000512574,0.000027714395,0.000026682173,7.886643e-7,0.000014879169,0.95170426,0.0000150357055,0.000064886946,0.009415159,0.03820316],"study_design_scores_gemma":[0.00084986415,0.00003586769,0.0015309852,0.0000875578,0.000027368384,0.0000054634993,0.000003197003,0.9967067,0.000021155618,0.0003644504,0.000057637746,0.0003097426],"about_ca_topic_score_codex":0.000021415295,"about_ca_topic_score_gemma":0.000014525068,"teacher_disagreement_score":0.7456331,"about_ca_system_score_codex":0.00024152378,"about_ca_system_score_gemma":0.000016086098,"threshold_uncertainty_score":0.9999688},"labels":[],"label_agreement":null},{"id":"W2162620416","doi":"10.1109/ccece.2008.4564506","title":"On the achievable throughput of ad-hoc networks with MIMO Rician channels","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Rician fading; Throughput; Computer science; MIMO; Wireless ad hoc network; Computer network; Transmitter; Beamforming; Cumulative distribution function; Fading; Channel (broadcasting); Wireless; Telecommunications; Probability density function; Mathematics","score_opus":0.012198780930709564,"score_gpt":0.1706133780365276,"score_spread":0.15841459710581804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162620416","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":[0.13996036,0.0007526285,0.85252255,0.00049210014,0.00038307044,0.00086520787,0.000010966102,0.00047506168,0.0045380285],"genre_scores_gemma":[0.9974308,0.00044718615,0.0017114204,0.00013826982,0.0001051881,0.00005503451,0.00000460184,0.000049899998,0.000057585643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855566,0.000007157115,0.00027393328,0.00035225303,0.0001862207,0.000624786],"domain_scores_gemma":[0.99916816,0.0000852022,0.00006321938,0.00015419205,0.00021397996,0.0003152632],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000082095976,0.00035814475,0.00036743417,0.0002488395,0.00016311421,0.00009503728,0.00029525004,0.00014508415,0.000020056048],"category_scores_gemma":[0.000022380376,0.00027925416,0.00003741752,0.000559095,0.000072234245,0.0001847033,0.000021692213,0.0004774498,0.0000054388147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059499383,0.00004263115,0.0003970384,0.00015515766,0.000141523,0.00003386862,0.001437154,0.8556628,0.00043318703,0.12508063,0.0012764795,0.015280003],"study_design_scores_gemma":[0.00024135238,0.00041134044,0.00035529872,0.0002542564,0.000010452353,0.000047226447,0.000025433048,0.9972716,0.0003345115,0.00016391672,0.000527537,0.0003570962],"about_ca_topic_score_codex":0.00017604185,"about_ca_topic_score_gemma":0.0001948143,"teacher_disagreement_score":0.85747045,"about_ca_system_score_codex":0.00013363035,"about_ca_system_score_gemma":0.00012501965,"threshold_uncertainty_score":0.99996597},"labels":[],"label_agreement":null},{"id":"W2162645476","doi":"10.1109/glocom.2009.5425774","title":"Multi-Antenna Downlink Spatial Division Multiplexing with Opportunistic Feedback","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Computer science; Coding (social sciences); Transmitter; Multiplexing; Channel (broadcasting); Dirty paper coding; Outage probability; Control theory (sociology); Computer network; Fading; Telecommunications; MIMO; Mathematics; Precoding; Statistics","score_opus":0.017054910400687025,"score_gpt":0.2293595307769665,"score_spread":0.21230462037627948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162645476","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":[0.0030918524,0.000042519277,0.9936752,0.000033878212,0.00019835017,0.00028347597,0.000009161936,0.00078831246,0.0018772854],"genre_scores_gemma":[0.8685247,0.000015496958,0.13092358,0.00004229027,0.00006186038,0.0000066379607,0.000053922384,0.00003464931,0.00033690175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911803,0.000012098646,0.0002578424,0.0002120806,0.00012873032,0.00027119202],"domain_scores_gemma":[0.9995056,0.0000262508,0.000042483527,0.00024874005,0.000064600696,0.000112320544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006313137,0.00020293756,0.00019450374,0.000080595375,0.000066360095,0.000036018537,0.00010326915,0.000073330615,0.000058883285],"category_scores_gemma":[0.000028850727,0.00016562942,0.00003162031,0.00014028876,0.000017754828,0.00023017486,0.000012861406,0.00011899151,0.000060297294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020745527,0.000055793247,0.0007696504,0.000042095806,0.000022049819,0.000032258144,0.00020018496,0.92545485,0.042756945,0.00014212573,0.00011175553,0.03039153],"study_design_scores_gemma":[0.0008587464,0.00007786528,0.0037532707,0.0000872809,0.0000072569965,0.000008899201,0.000057555015,0.9938906,0.0008054758,0.000014812441,0.00016506329,0.00027318054],"about_ca_topic_score_codex":0.000030161815,"about_ca_topic_score_gemma":0.000065229506,"teacher_disagreement_score":0.8654328,"about_ca_system_score_codex":0.00006727403,"about_ca_system_score_gemma":0.000010483953,"threshold_uncertainty_score":0.6754172},"labels":[],"label_agreement":null},{"id":"W2162937330","doi":"10.1109/icc.2006.255749","title":"Explicit Bounds for the Outage Probability for Multiple Antenna Systems in the Presence of Spatial Correlation","year":2006,"lang":"en","type":"article","venue":"2006 IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Spatial correlation; Rayleigh fading; MIMO; Fading; Channel state information; Transmitter; Computer science; Algorithm; Rank (graph theory); Signal-to-noise ratio (imaging); Channel (broadcasting); Correlation; Covariance matrix; Mathematics; Wireless; Telecommunications; Combinatorics","score_opus":0.07877377463889304,"score_gpt":0.3096442571258446,"score_spread":0.23087048248695155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162937330","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":[0.0028682249,0.00017610326,0.99092686,0.0007910987,0.00062100973,0.0021519358,0.00038455572,0.000055944463,0.0020242524],"genre_scores_gemma":[0.9932955,0.00006023927,0.004271094,0.000013019904,0.00009322878,0.001856491,0.00024490175,0.00001678867,0.00014873379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899447,0.00007840099,0.00048526638,0.00013673982,0.00017188494,0.000133238],"domain_scores_gemma":[0.99697435,0.0016337367,0.00016784413,0.00080215535,0.00041039474,0.000011530359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004465645,0.00011936187,0.00013544138,0.00007873504,0.00014494681,0.00007021625,0.0010102799,0.00006358076,0.0000039456236],"category_scores_gemma":[0.00022830558,0.00008989293,0.00006177543,0.00011603536,0.00008630804,0.00017150192,0.000029346893,0.00014179769,0.0000025127244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004521877,0.00014860179,0.0021892732,0.000054932312,0.000026214218,5.7622433e-8,0.0004682292,0.8359212,0.0024725632,0.15743174,0.00054171187,0.0007002652],"study_design_scores_gemma":[0.0004199822,0.000028807639,0.0016362275,0.00008075537,0.000009997083,0.0000012437619,0.0003470458,0.9924113,0.00012575921,0.0030349158,0.0018136776,0.00009029749],"about_ca_topic_score_codex":0.0009506557,"about_ca_topic_score_gemma":0.0029396387,"teacher_disagreement_score":0.99042726,"about_ca_system_score_codex":0.000107003274,"about_ca_system_score_gemma":0.000032751057,"threshold_uncertainty_score":0.3665727},"labels":[],"label_agreement":null},{"id":"W2163212918","doi":"10.1109/wcnc.2007.220","title":"Amount of Fading Analysis for Transmit Antenna Selection in MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Rayleigh fading; MIMO; Computer science; Antenna (radio); Selection (genetic algorithm); Simple (philosophy); Diversity gain; Fading distribution; Coding (social sciences); Electronic engineering; Outage probability; Algorithm; Telecommunications; Mathematics; Statistics; Decoding methods; Engineering; Channel (broadcasting)","score_opus":0.009912032402456224,"score_gpt":0.23407651078941338,"score_spread":0.22416447838695716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163212918","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":[0.04021428,0.0001634299,0.9583977,0.0000017921736,0.00008777069,0.00030100427,0.0000034826132,0.00011422949,0.0007163474],"genre_scores_gemma":[0.9874751,0.000010998865,0.012339644,0.0000013962701,0.00002756886,0.000019882253,0.000007709751,0.00001808415,0.00009963015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992838,0.000006973847,0.00037878117,0.00010363443,0.000059847847,0.00016695856],"domain_scores_gemma":[0.99975836,0.000057234807,0.00003924874,0.00006086386,0.000060417024,0.000023898629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029357072,0.00008031795,0.00022167058,0.00047564978,0.0000135916725,0.0000072071934,0.000040091338,0.000062542575,0.0000054222546],"category_scores_gemma":[0.000011461748,0.000082255625,0.00006504242,0.0010054931,0.000005005966,0.000121412515,0.0000015263579,0.000038546543,7.4496586e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008302824,0.0000073906876,0.004349588,0.00014425453,0.00009319271,2.7119825e-7,0.00016681163,0.9597065,0.034718562,0.00056283444,0.0000043714313,0.00023792364],"study_design_scores_gemma":[0.00019937637,0.000016010308,0.0015429665,0.000028896466,0.000058428595,0.000001256138,0.00035311916,0.98917675,0.008466425,0.000014443745,0.00004705215,0.00009528144],"about_ca_topic_score_codex":0.00015258853,"about_ca_topic_score_gemma":0.0008649835,"teacher_disagreement_score":0.9472608,"about_ca_system_score_codex":0.00012361188,"about_ca_system_score_gemma":0.0000033158185,"threshold_uncertainty_score":0.3354287},"labels":[],"label_agreement":null},{"id":"W2163614426","doi":"10.1109/glocom.2006.840","title":"WLC38-6: Minimax Linear Precoding for MISO Broadcast Channels with Bounded Uncertainty","year":2006,"lang":"en","type":"article","venue":"Globecom","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Telecommunications link; Base station; Computer science; Mathematical optimization; Channel (broadcasting); Transmission (telecommunications); Channel state information; Bounded function; Zero-forcing precoding; Transmitter power output; Optimization problem; Control theory (sociology); MIMO; Mathematics; Wireless; Telecommunications; Transmitter","score_opus":0.009438924203018647,"score_gpt":0.21786655028168822,"score_spread":0.20842762607866958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163614426","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":[0.034980137,0.0004436973,0.95844966,0.000060173246,0.00067974365,0.0008153749,0.00007212576,0.0006566963,0.0038424141],"genre_scores_gemma":[0.9241776,0.0000114403665,0.07342034,0.000026709135,0.00065331283,0.00016006459,0.00017260386,0.00009651019,0.0012814592],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990481,0.000010458883,0.00026252432,0.00022925863,0.000093731025,0.0003559277],"domain_scores_gemma":[0.9995357,0.00005114944,0.000059534636,0.00021780247,0.00008044137,0.000055402405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007807317,0.00020559206,0.00022383762,0.000065262175,0.00012300133,0.000071072514,0.00011543382,0.00008787477,0.000022556143],"category_scores_gemma":[0.000015825228,0.00019811442,0.000053082673,0.00016807317,0.000030039257,0.00018591878,0.000013944188,0.00007518196,0.000023301069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029349158,0.00001721528,0.00015860779,0.00011614801,0.000024481476,0.0000022186784,0.00010564493,0.9946865,0.00058426475,0.00026276943,0.0024504666,0.0015623259],"study_design_scores_gemma":[0.0016796418,0.00011394437,0.000078925674,0.00014323744,0.000034710214,0.00002589947,0.00012423102,0.92008513,0.004679554,0.0006055512,0.071892075,0.0005371213],"about_ca_topic_score_codex":0.00011037939,"about_ca_topic_score_gemma":0.00017234226,"teacher_disagreement_score":0.8891974,"about_ca_system_score_codex":0.00016146355,"about_ca_system_score_gemma":0.000023190361,"threshold_uncertainty_score":0.80788714},"labels":[],"label_agreement":null},{"id":"W2164096602","doi":"10.1109/twc.2012.070912.111073","title":"Asynchronous Interference Alignment","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Asynchronous communication; Node (physics); Computer science; Interference alignment; Interference (communication); Channel (broadcasting); Topology (electrical circuits); Antenna (radio); Single antenna interference cancellation; Co-channel interference; Computer network; Telecommunications; MIMO; Physics; Engineering; Electrical engineering; Acoustics","score_opus":0.024004772105763045,"score_gpt":0.25725042570912476,"score_spread":0.23324565360336172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164096602","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":[0.0032420498,0.00039793632,0.9906545,0.00008595065,0.00061324076,0.00024752098,0.000028159795,0.0005681804,0.004162424],"genre_scores_gemma":[0.98502237,0.00078104954,0.013694004,0.000032376716,0.000030006338,0.00027642256,0.0000118199905,0.000048423437,0.00010351892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991999,0.00006208291,0.0002719461,0.00010201962,0.00009147147,0.00027257644],"domain_scores_gemma":[0.9984308,0.00011681643,0.00003720059,0.0012573911,0.000042077965,0.000115721006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009367395,0.00016416305,0.0001456438,0.00012081607,0.00023093197,0.00002241986,0.00045050457,0.00007905823,0.000070124464],"category_scores_gemma":[0.0000015733573,0.00018399266,0.000059605038,0.00023747912,0.000071834555,0.00035663464,0.0000034517152,0.0002714518,0.00025812708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000096470885,0.00062473025,0.00008298573,0.000062445186,0.00015717676,3.270505e-7,0.0026968962,0.8866851,0.012469099,0.004033561,0.00030863358,0.09286943],"study_design_scores_gemma":[0.0013316778,0.00015841074,0.00026746237,0.00044698824,0.00019138936,0.00006565146,0.0015063676,0.7982144,0.1860281,0.00022879182,0.009903894,0.0016569132],"about_ca_topic_score_codex":0.000013379698,"about_ca_topic_score_gemma":0.000045529967,"teacher_disagreement_score":0.98178035,"about_ca_system_score_codex":0.00024510935,"about_ca_system_score_gemma":0.000012333393,"threshold_uncertainty_score":0.7503003},"labels":[],"label_agreement":null},{"id":"W2164319763","doi":"10.1109/icc.2011.5962729","title":"Cooperative Wireless Multicell OFDMA Network with Backhaul Capacity Constraints","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Backhaul (telecommunications); Telecommunications link; Base station; Computer science; Computer network; Precoding; Orthogonal frequency-division multiple access; Transmitter power output; Frequency-division multiple access; Wireless network; Wireless; Orthogonal frequency-division multiplexing; MIMO; Telecommunications; Transmitter","score_opus":0.020092121664809892,"score_gpt":0.18887366580027848,"score_spread":0.1687815441354686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164319763","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":[0.088368304,0.000040136307,0.8532097,0.0000026894647,0.00021114721,0.0003274042,0.000007844737,0.00043540218,0.057397377],"genre_scores_gemma":[0.9327882,0.000014536276,0.06665525,0.000025213218,0.0000598357,0.0000333088,0.000004659966,0.000037175345,0.0003818036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993559,0.000021482203,0.00016615307,0.0001516373,0.00006447565,0.00024032673],"domain_scores_gemma":[0.9996082,0.00002726721,0.000030291429,0.00015866422,0.00009931779,0.000076235454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055130153,0.00016011702,0.00017209379,0.00002276847,0.000048105576,0.000012259034,0.000077492,0.000066527005,0.0005489219],"category_scores_gemma":[0.00000462607,0.00013043903,0.000016569718,0.00015369453,0.0001039426,0.00019345399,0.000010816769,0.000109701585,0.00007203776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019127436,0.000027983304,0.0015768448,0.000048915692,0.00008709993,0.0000094403795,0.0013171821,0.9893044,0.0015700182,0.004366494,0.00040463585,0.001267858],"study_design_scores_gemma":[0.0016577591,0.00011925761,0.0007968861,0.0002399587,0.00005175941,0.000027075554,0.0008986055,0.9444939,0.050326306,0.00007785554,0.00042528473,0.00088533905],"about_ca_topic_score_codex":0.000035417015,"about_ca_topic_score_gemma":0.00015595739,"teacher_disagreement_score":0.8444199,"about_ca_system_score_codex":0.000039207735,"about_ca_system_score_gemma":0.000010958806,"threshold_uncertainty_score":0.601031},"labels":[],"label_agreement":null},{"id":"W2164332939","doi":"10.1109/icassp.2012.6288559","title":"An incremental Grassmannian feedback scheme for linearly precoded spatial multiplexing MIMO systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Grassmannian; Codebook; MIMO; Precoding; Transmitter; Spatial multiplexing; Fading; Vector quantization; Computer science; Quantization (signal processing); Spatial correlation; Algorithm; Subspace topology; Rayleigh fading; Multiplexing; Block (permutation group theory); Mathematics; Topology (electrical circuits); Theoretical computer science; Decoding methods; Channel (broadcasting); Telecommunications; Artificial intelligence","score_opus":0.019666352336573177,"score_gpt":0.25466016510872486,"score_spread":0.23499381277215167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164332939","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":[0.05574011,0.00021262716,0.93997055,0.000005637345,0.0012401058,0.0010394148,0.000042633405,0.00076254964,0.0009863428],"genre_scores_gemma":[0.87262195,0.0000035066669,0.12596165,0.0000085826705,0.00082497956,0.0001821689,0.00015677697,0.00008714336,0.00015324372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882334,0.00002620847,0.00037903237,0.00018471258,0.0001207589,0.00046594188],"domain_scores_gemma":[0.9993757,0.00004099335,0.00006009039,0.0002661742,0.00007273776,0.00018432162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022678789,0.0002154048,0.00022088316,0.0000911246,0.00008884971,0.00007462631,0.00013694771,0.0001243797,0.00002701039],"category_scores_gemma":[0.000028853145,0.00022115989,0.000052384035,0.00010043222,0.000013443102,0.0009491941,0.000018676512,0.0000881813,0.00004570701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050834442,0.00014714633,0.0113293845,0.00057422806,0.00012948048,5.910674e-7,0.0011030333,0.7906373,0.19112918,0.0011053664,0.00081596687,0.0029774557],"study_design_scores_gemma":[0.0006691297,0.000055632358,0.00034906497,0.000044267985,0.000011528681,0.0000053944796,0.00040451996,0.9781263,0.018947696,0.0000055987225,0.0010555441,0.00032533886],"about_ca_topic_score_codex":0.0002114199,"about_ca_topic_score_gemma":0.00009962358,"teacher_disagreement_score":0.81688184,"about_ca_system_score_codex":0.00015404035,"about_ca_system_score_gemma":0.000007851604,"threshold_uncertainty_score":0.9018639},"labels":[],"label_agreement":null},{"id":"W2164705811","doi":"10.1109/vetecs.2007.423","title":"Influence of CSI Feedback Errors on Capacity of Linear Multi-User MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Cooperative Research Centres, Australian Government Department of Industry","keywords":"Computer science; MIMO; Channel state information; Transmitter; Quantization (signal processing); Channel (broadcasting); Telecommunications link; Multiplexing; Transmission (telecommunications); Encoding (memory); Vector quantization; Channel capacity; Multi-user MIMO; Search engine indexing; Algorithm; Telecommunications; Wireless; Artificial intelligence","score_opus":0.017181025192726636,"score_gpt":0.24263326487247397,"score_spread":0.22545223967974734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164705811","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":[0.6430462,0.00003723073,0.35534748,0.0000013663291,0.00012718288,0.00020766245,0.000007882636,0.00011664639,0.0011083722],"genre_scores_gemma":[0.97719413,0.0000071793133,0.022356069,0.0000055287665,0.000028067683,0.0000045683287,0.0000026808011,0.00003089951,0.0003708996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99901754,0.00001450966,0.00050778163,0.00012678857,0.00014633288,0.00018707322],"domain_scores_gemma":[0.99932086,0.00006997113,0.00010832386,0.0002819693,0.00016126285,0.00005762405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022092786,0.00013737885,0.00025183582,0.00012308701,0.000016659491,0.0000028907498,0.00011521648,0.00011028245,0.000006314816],"category_scores_gemma":[0.00007337369,0.0001290065,0.000039496168,0.00023728066,0.0000392238,0.00014897017,0.000012976449,0.0000983436,0.000021872316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008092131,0.000024829867,0.0013622782,0.00027165393,0.000017348477,7.174781e-7,0.00020609518,0.95254534,0.04453405,0.00097073545,0.000021055761,0.000037778864],"study_design_scores_gemma":[0.001050672,0.00013558705,0.012013265,0.0006128129,0.00002346431,0.000008277205,0.0008229363,0.44480833,0.53949636,0.000012907399,0.0005166596,0.0004987044],"about_ca_topic_score_codex":0.00021990789,"about_ca_topic_score_gemma":0.00006686079,"teacher_disagreement_score":0.50773704,"about_ca_system_score_codex":0.00006350734,"about_ca_system_score_gemma":0.0000063463644,"threshold_uncertainty_score":0.5260732},"labels":[],"label_agreement":null},{"id":"W2165184088","doi":"10.1109/twc.2014.2365464","title":"Beamforming for Multiuser MIMO-OFDM Interference Channels With Multipath Diversity","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Beamforming; Computer science; Orthogonal frequency-division multiplexing; Multipath propagation; Orthogonality; MIMO; Maximization; Algorithm; Signal-to-noise ratio (imaging); Space-division multiple access; Channel (broadcasting); Telecommunications link; Telecommunications; Mathematics; Mathematical optimization","score_opus":0.027586835241661643,"score_gpt":0.24422288684705729,"score_spread":0.21663605160539565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165184088","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":[0.011170378,0.00002358311,0.98709553,0.00007334027,0.0003040053,0.00060683524,0.000059996328,0.000441851,0.0002244599],"genre_scores_gemma":[0.9237265,0.00011656615,0.07548674,0.00002877201,0.000023482362,0.00037661922,0.00002556206,0.00005577085,0.00015998339],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917233,0.000050416198,0.00024021234,0.00020159782,0.000097169024,0.00023825279],"domain_scores_gemma":[0.99827904,0.00028319855,0.000062291074,0.0011455888,0.00014403423,0.0000858646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012453001,0.00020608168,0.00020488082,0.00015629649,0.0007600524,0.000034087283,0.0006115995,0.0000929461,0.000006152343],"category_scores_gemma":[0.0000065191985,0.00021165104,0.0000723044,0.00022536957,0.00009434822,0.00027441606,0.000011580952,0.0002498705,0.000015214402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028656665,0.00010245837,0.00002801183,0.000051677685,0.000057859506,7.7414114e-8,0.0012425937,0.9834793,0.0017775855,0.00020359835,0.000022785684,0.013005383],"study_design_scores_gemma":[0.0008545232,0.000108555876,0.00001742174,0.00016455317,0.000047693662,0.0000037773884,0.00027000395,0.98459774,0.012897734,0.000034737583,0.00069824036,0.00030502753],"about_ca_topic_score_codex":0.00005179719,"about_ca_topic_score_gemma":0.00048124843,"teacher_disagreement_score":0.9125561,"about_ca_system_score_codex":0.00010857256,"about_ca_system_score_gemma":0.000012232722,"threshold_uncertainty_score":0.8630879},"labels":[],"label_agreement":null},{"id":"W2165546648","doi":"10.1109/icc.2007.720","title":"Limited Feedback Precoding in Realistic MIMO Channel Conditions","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Precoding; Codebook; Microcell; Computer science; MIMO; Channel (broadcasting); Channel state information; Overhead (engineering); Control theory (sociology); Zero-forcing precoding; Electronic engineering; Algorithm; Telecommunications; Engineering; Wireless; Control (management); Artificial intelligence","score_opus":0.016666097961592737,"score_gpt":0.24807056925797621,"score_spread":0.23140447129638347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165546648","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":[0.014492663,0.00006735428,0.9012791,0.000023376222,0.0003526428,0.00025839335,0.000010679917,0.000553752,0.082962036],"genre_scores_gemma":[0.99413437,0.000019525236,0.0050420295,0.000023533816,0.00006203139,0.0000150006235,0.000055527922,0.000028981836,0.0006190231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936575,0.0000071171944,0.00024276455,0.0001078304,0.000050764476,0.00022575911],"domain_scores_gemma":[0.9996962,0.00007945336,0.000019796887,0.00012467257,0.000027936778,0.000051973886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013091187,0.00009308408,0.00010618201,0.00018471769,0.000026531112,0.0000115825405,0.000053414256,0.00006618882,0.00007326753],"category_scores_gemma":[0.000048542563,0.000103286744,0.000017921475,0.000315459,0.0000104959845,0.00015436143,0.000008790928,0.00008308607,0.000053828124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035218882,0.000014133559,0.00027854045,0.000049997307,0.000008478808,0.000009008933,0.00027539817,0.9933993,0.0026394778,0.0020383296,0.00092694286,0.00035685985],"study_design_scores_gemma":[0.0010683634,0.000028934506,0.009204576,0.00022404121,0.000013591228,0.000027769955,0.00091502327,0.9780034,0.007836996,0.0013144382,0.0007958745,0.0005670346],"about_ca_topic_score_codex":0.000034146142,"about_ca_topic_score_gemma":0.00044818284,"teacher_disagreement_score":0.9796417,"about_ca_system_score_codex":0.000111592024,"about_ca_system_score_gemma":0.0000035926655,"threshold_uncertainty_score":0.4211911},"labels":[],"label_agreement":null},{"id":"W2165977862","doi":"10.1109/vetecs.2011.5956727","title":"Experimental Evaluation of Outdoor-to-Indoor Mimo Systems with a Multi-Antenna Handset","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"MIMO; Handset; Beamforming; Spatial multiplexing; Electronic engineering; Antenna (radio); Computer science; 3G MIMO; Multi-user MIMO; Transmission (telecommunications); Wireless; Multiplexing; Spectral efficiency; Planar array; Telecommunications; Engineering","score_opus":0.05598918485092557,"score_gpt":0.2697038685014501,"score_spread":0.21371468365052454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165977862","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":[0.15788856,0.00045424915,0.8356212,0.0000012387635,0.00040942218,0.001106103,0.000011704531,0.00024227303,0.0042652767],"genre_scores_gemma":[0.970259,0.0000011581166,0.029292988,0.0000042194074,0.000023673181,0.0002022331,0.0000103994935,0.00004174303,0.00016455149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991132,0.000035649766,0.0002785424,0.0001621111,0.00024644955,0.00016403942],"domain_scores_gemma":[0.9994177,0.00000870372,0.00005525545,0.00023911135,0.00020771957,0.0000714947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022289333,0.00014651798,0.00019836026,0.00011118116,0.000021466789,0.000010295052,0.00008799788,0.00005139668,0.00007618578],"category_scores_gemma":[0.000016569338,0.000121070734,0.000024197525,0.00016064562,0.000015028548,0.00018331179,0.0000143961715,0.000039644925,0.000040797142],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011180595,0.00023110352,0.0032626386,0.0002048273,0.00018701275,0.0000044209537,0.0093121575,0.7966818,0.18883727,0.00027834502,0.00031830635,0.00057025685],"study_design_scores_gemma":[0.0014214407,0.0001277222,0.00048221066,0.00011741802,0.000035410758,0.000008695883,0.0023058807,0.88322955,0.11204928,0.0000013534902,0.00001546535,0.0002055604],"about_ca_topic_score_codex":0.00011940735,"about_ca_topic_score_gemma":0.000034195637,"teacher_disagreement_score":0.8123705,"about_ca_system_score_codex":0.00010689848,"about_ca_system_score_gemma":0.000016364898,"threshold_uncertainty_score":0.49371213},"labels":[],"label_agreement":null},{"id":"W2166011820","doi":"10.1109/sam.2004.1503037","title":"Design of minimum bit error rate precoders for multiuser ofdm systems fitted with MMSE receivers","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Telecommunications link; Minimum mean square error; Bit error rate; Transmitter; Channel state information; Computer science; Convex optimization; Mean squared error; Algorithm; Constraint (computer-aided design); Control theory (sociology); Computational complexity theory; Upper and lower bounds; Power (physics); Channel (broadcasting); Mathematical optimization; Mathematics; Regular polygon; Wireless; Telecommunications; Statistics","score_opus":0.020824104767463495,"score_gpt":0.22628151309742528,"score_spread":0.2054574083299618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166011820","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":[0.0059714285,0.000110553025,0.9913276,0.000024897736,0.00018429825,0.0014047115,0.000014321783,0.00032607632,0.00063613657],"genre_scores_gemma":[0.7407336,0.000023318356,0.25589034,0.000014220885,0.000059668026,0.00019951028,0.000019266678,0.000088218105,0.0029718135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991557,0.000034328452,0.00032086894,0.0001806584,0.00007922099,0.00022921704],"domain_scores_gemma":[0.99935824,0.00014238729,0.000089003755,0.00021757139,0.00013471588,0.0000580583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015917233,0.0001747991,0.00025010656,0.00010878026,0.000029827559,0.000013953162,0.00009821736,0.00008745522,0.000023000373],"category_scores_gemma":[0.000029625471,0.00015068424,0.00003089181,0.00016987247,0.000021624368,0.00028849547,0.0000058927344,0.00004953919,0.000013353137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008357974,0.00001323461,0.000029285813,0.00018500224,0.00006651195,3.9604961e-7,0.00030794888,0.98698914,0.010361394,0.00001589045,0.0016789796,0.00026864174],"study_design_scores_gemma":[0.0012651117,0.00008235826,0.000010067756,0.000103350925,0.000027702705,0.0000026689368,0.00040356428,0.9813092,0.015656918,0.0000019855822,0.00093130954,0.00020580398],"about_ca_topic_score_codex":0.00001859313,"about_ca_topic_score_gemma":0.000032413653,"teacher_disagreement_score":0.7354372,"about_ca_system_score_codex":0.000097682925,"about_ca_system_score_gemma":0.000019011739,"threshold_uncertainty_score":0.6144725},"labels":[],"label_agreement":null},{"id":"W2166053051","doi":"10.1109/glocom.2007.715","title":"Non-Fixed Scatterers and Their Effects on MIMO Multicarrier Fading Communication Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fading; Multipath propagation; Spectral density; MIMO; Doppler effect; Channel (broadcasting); Computer science; Fading distribution; Tree (set theory); Mathematics; Topology (electrical circuits); Electronic engineering; Telecommunications; Physics; Mathematical analysis; Engineering; Rayleigh fading","score_opus":0.0074944958262718655,"score_gpt":0.2245310695248492,"score_spread":0.21703657369857732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166053051","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":[0.2286127,0.00017170569,0.7631514,0.000044881537,0.00026975293,0.0004325423,0.0000011179807,0.00033207692,0.006983831],"genre_scores_gemma":[0.9908715,0.00002659168,0.00881171,0.00008002444,0.000050109993,0.00001640474,0.000008756026,0.0000365189,0.00009840452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947804,0.00001351512,0.00015336314,0.00012033595,0.000045303896,0.00018941262],"domain_scores_gemma":[0.999401,0.00020901622,0.000024132387,0.0002740796,0.000023763288,0.00006804092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018498348,0.00013590326,0.00012962324,0.000096046846,0.00006874178,0.000023444922,0.000082749204,0.00007096251,0.00000583127],"category_scores_gemma":[0.000018589391,0.000118877666,0.000020171718,0.000106804706,0.000019178564,0.0001427653,0.000022873906,0.00009844005,0.000017764907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055196113,0.00005021198,0.0028208685,0.0006107053,0.00017609705,0.0000063580787,0.009832626,0.6433571,0.24813673,0.001149785,0.0010932107,0.0927111],"study_design_scores_gemma":[0.0010925912,0.00005834596,0.001712753,0.00031411753,0.000011628485,0.0000073690517,0.0006993171,0.5077215,0.4873362,0.00014403732,0.00047134236,0.0004308014],"about_ca_topic_score_codex":0.000008549997,"about_ca_topic_score_gemma":0.0000101215965,"teacher_disagreement_score":0.76225877,"about_ca_system_score_codex":0.000060936574,"about_ca_system_score_gemma":0.0000015925193,"threshold_uncertainty_score":0.48476905},"labels":[],"label_agreement":null},{"id":"W2166254877","doi":"10.1155/2008/420478","title":"Performance of Equal Power Allocation in Multiuser OFDM‐Based Cognitive Radio Systems","year":2008,"lang":"en","type":"article","venue":"Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cognitive radio; Orthogonal frequency-division multiplexing; Power (physics); Simple (philosophy); Optimal allocation; Computer science; Electronic engineering; Mathematics; Telecommunications; Mathematical optimization; Engineering; Wireless; Channel (broadcasting); Physics","score_opus":0.007004009548148935,"score_gpt":0.18598300316067812,"score_spread":0.17897899361252917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166254877","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":[0.4792599,0.00061239616,0.51991624,0.0000015344806,0.00013237978,0.000052653893,3.4112355e-7,0.00001610884,0.000008434683],"genre_scores_gemma":[0.99392515,0.00011780884,0.005841819,0.0000035386379,0.00008904614,0.0000026014304,8.7122146e-7,0.000016560996,0.0000026009807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992362,0.000013509831,0.00042187926,0.00006526411,0.00012141304,0.00014173215],"domain_scores_gemma":[0.99961126,0.000097110154,0.00008682898,0.00004246206,0.00010873071,0.00005362305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010299834,0.000106290914,0.00025525346,0.00025488305,0.00001259624,0.0000067226943,0.000057606652,0.000055056164,7.5849965e-7],"category_scores_gemma":[0.000017662054,0.000099624456,0.0000333165,0.00026587173,0.000009027771,0.00019007533,0.00000658046,0.00018096888,4.066447e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021656602,0.000022868628,0.0020883346,0.000079913,0.00002203374,0.000013320961,0.00012143477,0.99478364,0.002051711,0.000022871178,0.000010522055,0.0007616809],"study_design_scores_gemma":[0.0006999673,0.00020490197,0.0066077323,0.00022990414,0.000006695431,0.00014426977,0.000003581857,0.9901018,0.0018817871,4.2282437e-7,0.000018273686,0.000100635094],"about_ca_topic_score_codex":0.0000016607491,"about_ca_topic_score_gemma":1.0911731e-7,"teacher_disagreement_score":0.51466525,"about_ca_system_score_codex":0.000065277105,"about_ca_system_score_gemma":0.000017555702,"threshold_uncertainty_score":0.40625677},"labels":[],"label_agreement":null},{"id":"W2166506578","doi":"10.1109/wcnc.2011.5779161","title":"Vector perturbation precoding and user scheduling for network MIMO","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; MIMO; Base station; Telecommunications link; Computer science; Upper and lower bounds; Scheduling (production processes); Transmitter power output; Zero-forcing precoding; Antenna array; Mathematical optimization; Algorithm; Control theory (sociology); Antenna (radio); Mathematics; Computer network; Telecommunications; Transmitter; Beamforming","score_opus":0.0234530351649559,"score_gpt":0.21337819724249332,"score_spread":0.18992516207753743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166506578","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":[0.007710039,0.00027652105,0.98663974,0.000005022478,0.0003214401,0.00026035067,9.3996124e-7,0.00026593037,0.004520048],"genre_scores_gemma":[0.6042255,0.00002321169,0.39505363,0.000010959486,0.0001497804,0.000039926686,0.0000046239115,0.000026125193,0.00046627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996386,0.0000043098125,0.00011387365,0.0000919211,0.000022377384,0.0001289188],"domain_scores_gemma":[0.99982226,0.000035824392,0.000017143851,0.00006868682,0.00002689141,0.000029206256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006320196,0.00007070799,0.00007449104,0.000022389819,0.00004278161,0.00001295319,0.000027064018,0.0000453573,0.00002798233],"category_scores_gemma":[0.00002437449,0.00006953098,0.000014507503,0.00005100139,0.000004824937,0.00020207891,0.0000071343225,0.000029688723,0.0000035934552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016495726,0.0000068723916,0.00199919,0.00018224375,0.00004018638,2.65853e-7,0.0009407023,0.9738167,0.0023080658,0.016568862,0.000693393,0.0034270107],"study_design_scores_gemma":[0.00025613463,0.000021697851,0.00046048345,0.00004684791,0.00001190309,0.0000020939713,0.00007649741,0.99422336,0.0029234858,0.00075946737,0.0010531958,0.00016482756],"about_ca_topic_score_codex":0.0000025573977,"about_ca_topic_score_gemma":0.000007986023,"teacher_disagreement_score":0.5965155,"about_ca_system_score_codex":0.000021468073,"about_ca_system_score_gemma":0.0000022608563,"threshold_uncertainty_score":0.28353912},"labels":[],"label_agreement":null},{"id":"W2166552116","doi":"10.1109/isit.2009.5205768","title":"Noisy feedback linear precoding: A Bayesian Cramér-Rao bound","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Fading; Channel state information; Transmitter; Upper and lower bounds; Mathematics; Rician fading; Zero-forcing precoding; Cramér–Rao bound; Computer science; Additive white Gaussian noise; Gaussian; Channel (broadcasting); Algorithm; Control theory (sociology); Telecommunications; MIMO; Decoding methods; Estimation theory; Wireless; Artificial intelligence; Physics","score_opus":0.013652339367275505,"score_gpt":0.2420141119811008,"score_spread":0.2283617726138253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166552116","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":[0.0037600594,0.00016050605,0.90641594,0.0001509381,0.00035479091,0.00029030954,0.0000035847424,0.0011441606,0.087719694],"genre_scores_gemma":[0.8324695,0.000060751176,0.1580258,0.0001545542,0.0003467607,0.000015225177,0.000032584576,0.000070360256,0.008824421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989461,0.000014619568,0.00032369889,0.00023469115,0.00012564493,0.00035525192],"domain_scores_gemma":[0.9993885,0.000028344646,0.000037395715,0.00036421567,0.00005557283,0.0001259385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008892089,0.00023009788,0.00022956675,0.00010398336,0.00007312704,0.000062762985,0.00015052465,0.00013119135,0.00025970474],"category_scores_gemma":[0.0000418519,0.0002253999,0.00006503594,0.00026362325,0.000014531368,0.00034435268,0.000013876428,0.00015095908,0.00037515577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012376295,0.000052330586,0.0001300215,0.000084664425,0.000040718915,0.0000048939,0.00058356754,0.97009605,0.00951724,0.0015293822,0.0074919034,0.01045687],"study_design_scores_gemma":[0.0012305868,0.00012907985,0.00043977628,0.00015310635,0.000038827126,0.00005545816,0.00014608025,0.8654211,0.0064728125,0.0016431634,0.12308507,0.0011849172],"about_ca_topic_score_codex":0.000008530139,"about_ca_topic_score_gemma":0.00004358468,"teacher_disagreement_score":0.8287095,"about_ca_system_score_codex":0.00011668497,"about_ca_system_score_gemma":0.000013136051,"threshold_uncertainty_score":0.9191541},"labels":[],"label_agreement":null},{"id":"W2166566788","doi":"10.1109/isit.2006.262038","title":"How much feedback is required in MIMO Broadcast Channels?","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Base station; MIMO; Order (exchange); Control theory (sociology); Mathematics; Computer science; Topology (electrical circuits); Combinatorics; Telecommunications; Statistics; Control (management); Beamforming","score_opus":0.010100426474080952,"score_gpt":0.20209866979440816,"score_spread":0.1919982433203272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166566788","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":[0.04593936,0.0009878167,0.88519883,0.00070166955,0.0009950631,0.00057329575,0.000011574851,0.0010759386,0.06451643],"genre_scores_gemma":[0.9800415,0.000020840467,0.008187514,0.000030624004,0.00018001196,0.000023768369,0.000017560144,0.000045861427,0.011452345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929774,0.000009138747,0.0001879098,0.00016698579,0.00008272856,0.0002555006],"domain_scores_gemma":[0.999708,0.000012683744,0.000022857559,0.0001945366,0.000029512636,0.000032386375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004514534,0.00014046053,0.00015262226,0.00011384694,0.000019384506,0.00005709061,0.00008333295,0.00008886536,0.000058412617],"category_scores_gemma":[0.0000066399116,0.00014656037,0.000029328197,0.00028564077,0.000011699786,0.00036755152,0.000015044395,0.00007027704,0.000073518466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074801274,0.000040225605,0.0008654319,0.00013954887,0.000015071408,0.000018205425,0.0004184384,0.9479283,0.01679476,0.0015546076,0.028430361,0.0037875886],"study_design_scores_gemma":[0.0020935477,0.000041599396,0.00062694045,0.00015238405,0.0000103237235,0.000028108874,0.0008823506,0.879642,0.08271832,0.00183034,0.030961804,0.0010122716],"about_ca_topic_score_codex":0.00009909793,"about_ca_topic_score_gemma":0.000094109804,"teacher_disagreement_score":0.9341021,"about_ca_system_score_codex":0.00009802478,"about_ca_system_score_gemma":0.00000431576,"threshold_uncertainty_score":0.59765583},"labels":[],"label_agreement":null},{"id":"W2166846981","doi":"10.1109/vtc.2001.956826","title":"The impact of correlation on multi-antenna system performance: correlation matrix approach","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Beamwidth; MIMO; Spatial correlation; Multipath propagation; Antenna (radio); Upper and lower bounds; Computer science; Covariance matrix; Correlation; Fading; Matrix (chemical analysis); Algorithm; Mathematics; Topology (electrical circuits); Electronic engineering; Telecommunications; Engineering; Mathematical analysis; Geometry; Combinatorics; Decoding methods","score_opus":0.015250525256724717,"score_gpt":0.23198945023551076,"score_spread":0.21673892497878605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166846981","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":[0.035930358,0.00026860446,0.948215,0.000001492535,0.00042842346,0.0004697797,0.0000047383573,0.00036547892,0.014316122],"genre_scores_gemma":[0.99493265,0.00007664983,0.0035804813,5.639612e-7,0.000041667765,0.00002600304,0.000017274355,0.00003467338,0.0012900346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991855,0.000028828073,0.00035575667,0.00011742343,0.00013562247,0.00017685113],"domain_scores_gemma":[0.99945253,0.000067777364,0.00010780025,0.00025944426,0.00007626633,0.000036167734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014337272,0.00015020407,0.00015460035,0.000085461164,0.00011112545,0.000020317406,0.00009316396,0.00009460082,0.000018127066],"category_scores_gemma":[0.000021422762,0.000099159624,0.00007386026,0.00024049988,0.000019229017,0.00023194106,0.000008434576,0.00012777437,0.000102294776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008464418,0.000014723643,0.0020377068,0.00007037552,0.000023482491,1.258317e-7,0.00018930311,0.9958008,0.00024472852,0.0003526343,0.0002327594,0.0010248958],"study_design_scores_gemma":[0.00035919854,0.00005702675,0.0024356598,0.000057754532,0.000008976875,0.000008518442,0.0002075829,0.9966659,0.00008182648,7.535274e-7,0.000009444604,0.000107362466],"about_ca_topic_score_codex":0.000016835704,"about_ca_topic_score_gemma":9.1421583e-7,"teacher_disagreement_score":0.9590023,"about_ca_system_score_codex":0.00034922577,"about_ca_system_score_gemma":0.0000048882366,"threshold_uncertainty_score":0.40436122},"labels":[],"label_agreement":null},{"id":"W2166874862","doi":"10.1109/mwc.2014.6845058","title":"Game-theoretic resource allocation methods for device-to-device communication","year":2014,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":368,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Resource allocation; Computer network; Reuse; Cellular network; Game theory; Transmission (telecommunications); Key (lock); Radio resource management; Resource management (computing); Resource (disambiguation); Wireless; Distributed computing; Telecommunications; Wireless network; Computer security","score_opus":0.030472083042505527,"score_gpt":0.3343637760759374,"score_spread":0.3038916930334319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166874862","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":[0.0022997959,0.00077676476,0.9872572,0.00087292364,0.00015208524,0.0011343402,0.000013797467,0.000771103,0.0067220014],"genre_scores_gemma":[0.606366,0.00026065024,0.39180794,0.00019891685,0.000047057623,0.0008985257,0.00021398156,0.00009387866,0.00011304807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980514,0.0006486621,0.0006113176,0.00025826052,0.00011079254,0.000319552],"domain_scores_gemma":[0.99407524,0.0016045448,0.00015868594,0.0036919499,0.00032453806,0.00014506618],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011903688,0.00025348025,0.00032454554,0.00020753498,0.00036714214,0.000079759804,0.0016497802,0.00015836388,0.0000056785416],"category_scores_gemma":[0.00023422556,0.0003002621,0.00008553567,0.000583381,0.00012802267,0.00026205278,0.00015187396,0.00026988937,0.00007170883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023241266,0.000122065416,0.00006114656,0.0003708275,0.000101325655,3.816313e-8,0.0035171674,0.6542356,0.030879589,0.104220085,0.0013259988,0.20514289],"study_design_scores_gemma":[0.00038379183,0.00003087733,0.00005530479,0.00020059022,0.000053675387,0.0000031637828,0.0002516312,0.8561814,0.0071125366,0.002452644,0.13290164,0.00037274644],"about_ca_topic_score_codex":0.000018425593,"about_ca_topic_score_gemma":0.00008791066,"teacher_disagreement_score":0.6040662,"about_ca_system_score_codex":0.00020467844,"about_ca_system_score_gemma":0.00002386477,"threshold_uncertainty_score":0.9999449},"labels":[],"label_agreement":null},{"id":"W2167068524","doi":"10.1109/wcnc.2012.6214273","title":"Robust joint precoder and equalizer design in MIMO communication systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Control theory (sociology); Computer science; Covariance matrix; Robustness (evolution); Optimization problem; Convex optimization; Mathematical optimization; Communications system; Joint (building); Mathematics; Algorithm; Channel (broadcasting); Regular polygon; Telecommunications; Engineering","score_opus":0.07173033033555554,"score_gpt":0.2428274097817776,"score_spread":0.17109707944622207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167068524","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":[0.0023356606,0.003923875,0.9875762,0.000012037321,0.00014029612,0.0003607372,7.554202e-7,0.00018362961,0.0054668467],"genre_scores_gemma":[0.917415,0.00018021715,0.08200017,0.0000067898486,0.000025379011,0.00006813095,0.0000057369293,0.000026462309,0.00027208426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994027,0.00008541242,0.00023144984,0.00006587068,0.00004612537,0.00016846489],"domain_scores_gemma":[0.9996322,0.000063273095,0.00002637461,0.0002117171,0.000019228,0.000047239177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036227534,0.00008696516,0.00012341395,0.000074002775,0.00002190817,0.000022605693,0.000047786732,0.000063983345,0.000017557604],"category_scores_gemma":[0.000022054457,0.00008386633,0.000008284394,0.00009521317,0.000010124413,0.00039439386,0.000020524121,0.00006775091,0.000019196736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012611014,0.00000938458,0.00047705398,0.00005065034,0.0000057876255,7.635508e-8,0.0005013947,0.995225,0.0006108139,0.0024870322,0.00035208714,0.00027943135],"study_design_scores_gemma":[0.00020327374,0.0000059552126,0.00048376512,0.00008237426,0.0000047782264,0.000008228087,0.0004015336,0.99739516,0.00084302644,0.000062519386,0.0003487228,0.00016066871],"about_ca_topic_score_codex":0.000049524428,"about_ca_topic_score_gemma":0.00001556461,"teacher_disagreement_score":0.91507936,"about_ca_system_score_codex":0.00007367709,"about_ca_system_score_gemma":0.000002672329,"threshold_uncertainty_score":0.34199697},"labels":[],"label_agreement":null},{"id":"W2167236692","doi":"10.1109/cwit.2007.375714","title":"On the design of Grassmannian constellations for non-coherent MIMO communication systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Grassmannian; Constellation; MIMO; Computer science; Disjoint sets; Partition (number theory); Theoretical computer science; Wireless; Algorithm; Topology (electrical circuits); Channel (broadcasting); Mathematics; Telecommunications; Discrete mathematics; Pure mathematics","score_opus":0.028456070449119412,"score_gpt":0.2519013316511654,"score_spread":0.223445261202046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167236692","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":[0.00095192227,0.00010371825,0.985265,0.00003689578,0.00013992797,0.0012923308,0.000005141845,0.000099119025,0.01210592],"genre_scores_gemma":[0.9742336,0.000012789849,0.025439914,0.00001146639,0.000017544404,0.000072049086,0.000012150697,0.000022108063,0.00017837528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994253,0.000027563854,0.00029798388,0.00006525612,0.00006707366,0.00011683993],"domain_scores_gemma":[0.998544,0.00092758087,0.000067446505,0.0003454678,0.000091858616,0.00002365316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004473401,0.00008364108,0.000111778536,0.00006409642,0.00007155233,0.000012985364,0.00012604591,0.000050510018,0.00000973467],"category_scores_gemma":[0.00003744803,0.00006255174,0.000028379962,0.00012773134,0.000026165142,0.000054176817,0.000007506716,0.000051074538,0.000007832097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006260272,0.000010157414,0.000017690054,0.00003355533,0.000018919578,3.945593e-8,0.000120967976,0.9466161,0.0017803313,0.04962035,0.0015517987,0.00022379574],"study_design_scores_gemma":[0.00020495085,0.00004076485,0.00004011563,0.00009913644,0.000012359605,0.0000014518582,0.00058992265,0.98981905,0.007970263,0.000623164,0.0004916835,0.000107138396],"about_ca_topic_score_codex":0.000012015267,"about_ca_topic_score_gemma":0.000014516949,"teacher_disagreement_score":0.9732817,"about_ca_system_score_codex":0.000055778284,"about_ca_system_score_gemma":0.000006919702,"threshold_uncertainty_score":0.2550786},"labels":[],"label_agreement":null},{"id":"W2167558576","doi":"10.1109/wcnc.2007.198","title":"A Capacity Achieving Precoding Scheme Based on Partial Channel Information for Broadcast MIMO Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; MIMO; Zero-forcing precoding; Computer science; Channel capacity; Ergodic theory; Channel (broadcasting); Limit (mathematics); Transmission (telecommunications); Interference (communication); Reduction (mathematics); Mutual information; Dirty paper coding; Forcing (mathematics); Noisy-channel coding theorem; Multi-user MIMO; Electronic engineering; Control theory (sociology); Computer network; Algorithm; Mathematics; Telecommunications; Decoding methods; Engineering; Block code","score_opus":0.019860154260604643,"score_gpt":0.22656876157599795,"score_spread":0.2067086073153933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167558576","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":[0.007285911,0.000021981577,0.98559356,0.000014758676,0.0007849444,0.0008265701,0.000017723609,0.00056627445,0.004888281],"genre_scores_gemma":[0.97197205,0.0000017687285,0.027548896,0.000036196325,0.00021807592,0.000103633116,0.000049806335,0.000030423755,0.00003914217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989913,0.0000105792915,0.00042716294,0.00011503077,0.000130069,0.0003258239],"domain_scores_gemma":[0.9994633,0.00011484872,0.000080126854,0.00017671978,0.000085485175,0.000079471894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045589433,0.00016409862,0.00016620103,0.0001843245,0.000096106116,0.00006769437,0.00007675107,0.00011055801,0.0000067036963],"category_scores_gemma":[0.00010580985,0.00016694987,0.000050315022,0.00016309429,0.000008952751,0.0007111235,0.000007784426,0.0000962705,0.00002535704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002708541,0.000008967217,0.00004304906,0.00032559023,0.000010324628,1.7908492e-7,0.00018399535,0.99426746,0.001963857,0.0010880651,0.00014970984,0.001931743],"study_design_scores_gemma":[0.00041883468,0.00004192974,0.000028133656,0.00012667959,0.0000055584874,0.0000021266978,0.0001614651,0.98776346,0.009348204,0.0000059370786,0.0019050245,0.0001926326],"about_ca_topic_score_codex":0.000016857643,"about_ca_topic_score_gemma":0.000007796458,"teacher_disagreement_score":0.96468616,"about_ca_system_score_codex":0.00018875384,"about_ca_system_score_gemma":0.000008704415,"threshold_uncertainty_score":0.6808018},"labels":[],"label_agreement":null},{"id":"W2167633582","doi":"10.1109/aps.2010.5561830","title":"Usage analysis in a MIMO channel for voice and data","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada)","funders":"","keywords":"Channel (broadcasting); MIMO; Computer science; Channel capacity; Position (finance); Spatial correlation; Antenna (radio); Precoding; Orientation (vector space); Power (physics); Electronic engineering; Telecommunications; Engineering; Mathematics; Physics","score_opus":0.0192753441663979,"score_gpt":0.26836654326706005,"score_spread":0.24909119910066216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167633582","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":[0.018527715,0.000052799067,0.9800113,0.000023828034,0.00009603851,0.00016543636,0.000036444253,0.0000837776,0.0010026963],"genre_scores_gemma":[0.94960487,0.000012151184,0.0499673,0.0000101822325,0.000036378682,0.00001860542,0.000087629036,0.000012567007,0.00025034428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965376,0.0000027224496,0.00009975037,0.00013092053,0.00002306151,0.00008978529],"domain_scores_gemma":[0.99961805,0.000040666066,0.000010113213,0.00029521776,0.000011602195,0.000024334446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115376824,0.000052175325,0.000098546196,0.00011646833,0.000013093218,0.0000130696535,0.000095676514,0.000038543436,0.0000107363485],"category_scores_gemma":[0.000044581473,0.00005078707,0.000009871389,0.00024646238,0.0000056956533,0.00020014565,0.000030011328,0.000047774418,0.0000024464316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008445587,0.000024916222,0.004765164,0.00017167331,0.00023806021,0.000002108982,0.00056440884,0.97261745,0.015289817,0.000532161,0.0012468592,0.004538918],"study_design_scores_gemma":[0.00015931319,0.0000024581934,0.0005975651,0.0000022462684,0.000030780084,6.0627536e-7,0.000039780316,0.99775374,0.0002723439,0.000052477695,0.001020559,0.000068124704],"about_ca_topic_score_codex":0.000042042546,"about_ca_topic_score_gemma":0.0039879372,"teacher_disagreement_score":0.9310771,"about_ca_system_score_codex":0.0000052451833,"about_ca_system_score_gemma":0.0000021377061,"threshold_uncertainty_score":0.22253627},"labels":[],"label_agreement":null},{"id":"W2167700396","doi":"10.1109/aps.2007.4395753","title":"Study of MIMO channels using a novel semi-deterministic model","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Manitoba","keywords":"MIMO; Computer science; Channel (broadcasting); Basis (linear algebra); Matrix (chemical analysis); Electronic engineering; Scattering; Topology (electrical circuits); Space (punctuation); Statistical physics; Algorithm; Theoretical computer science; Applied mathematics; Telecommunications; Mathematics; Physics; Engineering; Electrical engineering; Geometry; Optics","score_opus":0.04351816758154448,"score_gpt":0.28519870150326926,"score_spread":0.24168053392172478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167700396","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":[0.28151616,0.000011323731,0.7161368,2.7286373e-7,0.00012841988,0.00020940631,0.0000017211518,0.00011489738,0.0018809675],"genre_scores_gemma":[0.95428485,6.7801534e-7,0.04549289,0.000003699451,0.000037002457,0.0000039396505,0.0000010091405,0.00003316352,0.00014274356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993332,0.0000030496212,0.00029419092,0.000110312605,0.00009159897,0.00016766191],"domain_scores_gemma":[0.9996733,0.000026818732,0.000039282273,0.00017420072,0.000046370234,0.000040045907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011784169,0.00010488271,0.00015900466,0.00010313805,0.000021425287,0.0000062858394,0.00006857701,0.0000440706,0.0000057961024],"category_scores_gemma":[0.000014974505,0.00010749842,0.000019159359,0.0001548433,0.000007704422,0.00010338272,0.00001930375,0.000048111375,0.0000019658662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003116715,0.00006326624,0.000053224656,0.00003071142,0.000012881919,0.0000019085064,0.0008471644,0.9739308,0.02489328,0.00006754284,0.0000034144884,0.000092716204],"study_design_scores_gemma":[0.000387273,0.00003435406,0.000013501822,0.000021231432,0.000013187486,0.0000072695043,0.0008358889,0.99503666,0.0035135476,0.000022100541,0.0000025190225,0.00011249354],"about_ca_topic_score_codex":0.000016607086,"about_ca_topic_score_gemma":0.00002391666,"teacher_disagreement_score":0.6727687,"about_ca_system_score_codex":0.000051397918,"about_ca_system_score_gemma":0.0000066437096,"threshold_uncertainty_score":0.43836585},"labels":[],"label_agreement":null},{"id":"W2167826503","doi":"10.1109/jsac.2008.080817","title":"On the Design of Linear Transceivers for Multiuser Systems with Channel Uncertainty","year":2008,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Computer science; Mathematical optimization; Channel (broadcasting); Base station; Iterative method; Algorithm; Mathematics; Telecommunications","score_opus":0.054126849778311115,"score_gpt":0.26135292626820034,"score_spread":0.20722607648988922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167826503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019796688,0.00035153696,0.97783816,0.00023396967,0.000178904,0.0011179387,0.000030370358,0.00009800083,0.00035443794],"genre_scores_gemma":[0.9920625,0.0006601065,0.00700653,0.00002126907,0.000037018188,0.00013303052,0.000009364167,0.00003953186,0.0000306278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902403,0.0002143589,0.00036386374,0.000081869104,0.000141663,0.0001742099],"domain_scores_gemma":[0.9976911,0.0011859018,0.0001423928,0.0005686351,0.00036517883,0.000046795485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026325884,0.0001399683,0.00020455956,0.00017723496,0.00029880644,0.000011583873,0.00049034116,0.000067771376,0.00000202836],"category_scores_gemma":[0.00011759794,0.00009889981,0.000039837327,0.0005078379,0.00007146037,0.00009778915,0.000003469435,0.00042610834,0.000002187275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092831775,0.00007519123,0.000027764198,0.000013604756,0.000056758083,0.0000011685528,0.00092964526,0.99717814,0.0009665044,0.0002934337,0.0003335356,0.000031407813],"study_design_scores_gemma":[0.0010169417,0.0002344849,0.00011270263,0.0004105141,0.000018730623,0.00007793184,0.00028240395,0.9961923,0.001254587,0.000064462445,0.0001871162,0.00014785283],"about_ca_topic_score_codex":0.00001550428,"about_ca_topic_score_gemma":0.00003348713,"teacher_disagreement_score":0.97226584,"about_ca_system_score_codex":0.00018152855,"about_ca_system_score_gemma":0.000070578164,"threshold_uncertainty_score":0.40330172},"labels":[],"label_agreement":null},{"id":"W2167851575","doi":"10.1109/vetecs.2011.5956143","title":"Power Allocation for Practicable Capacity Maximization in Eigen-MIMO","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"MIMO; Channel state information; Computer science; Channel capacity; Transmitter; Maximization; Capacity optimization; Link adaptation; Throughput; Constraint (computer-aided design); Channel (broadcasting); Power (physics); Electronic engineering; Mathematical optimization; Telecommunications; Fading; Mathematics; Wireless; Engineering","score_opus":0.030114617800377566,"score_gpt":0.22738299614255733,"score_spread":0.19726837834217975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167851575","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":[0.0053135627,0.000023783827,0.95478916,0.000013066382,0.00021136057,0.00047244827,0.0000024114886,0.00023334805,0.03894086],"genre_scores_gemma":[0.83680785,0.000012483736,0.16269517,0.000017523775,0.000015808022,0.00010520639,0.000015340709,0.0000285911,0.0003020035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946153,0.000011364202,0.00020473689,0.000120740035,0.000047250673,0.00015439301],"domain_scores_gemma":[0.99968845,0.000027158547,0.00003448393,0.00014710547,0.00007321238,0.000029622002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012664888,0.000087105196,0.00009290877,0.00008669132,0.000022027923,0.000009828594,0.000052026724,0.000072985364,0.00015709405],"category_scores_gemma":[0.0000839837,0.00009308468,0.000017204768,0.00015849737,0.00000764615,0.0004912508,0.0000056710746,0.00004833327,0.00002577089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042339296,0.0001190409,0.00210321,0.00015274715,0.000032269454,0.0000010700055,0.002854611,0.95293385,0.01012743,0.029127052,0.0012112817,0.001295106],"study_design_scores_gemma":[0.0010349269,0.00007705485,0.0019404126,0.00004298126,0.000013854644,0.000007316527,0.00049990206,0.9230044,0.06603689,0.0036094466,0.0032526092,0.00048024367],"about_ca_topic_score_codex":0.000041522075,"about_ca_topic_score_gemma":0.00008472906,"teacher_disagreement_score":0.83149433,"about_ca_system_score_codex":0.00009698353,"about_ca_system_score_gemma":0.000008530012,"threshold_uncertainty_score":0.3795883},"labels":[],"label_agreement":null},{"id":"W2168673745","doi":"10.1109/tsp.2010.2077631","title":"Sidelobe Control in Collaborative Beamforming via Node Selection","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Beamforming; Selection (genetic algorithm); Computer science; Node (physics); Speech recognition; Artificial intelligence; Telecommunications; Engineering","score_opus":0.005077427243005984,"score_gpt":0.2232863009866042,"score_spread":0.21820887374359824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168673745","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":[0.012193397,0.000042896576,0.9861824,0.000024325507,0.00032546738,0.00031440074,0.000008900761,0.00037603322,0.0005322083],"genre_scores_gemma":[0.9841058,0.0000045492934,0.015572175,0.000047517744,0.00007183826,0.00010467074,0.0000018911962,0.000055173998,0.00003635517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990105,0.000023250073,0.0003347173,0.0002165649,0.00014466247,0.00027032464],"domain_scores_gemma":[0.9995895,0.00005824652,0.000061061255,0.00008383246,0.00014175914,0.00006560166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013736513,0.00019866337,0.0002023214,0.00027611837,0.00018859963,0.000057829668,0.0000744715,0.00015269188,0.000045720873],"category_scores_gemma":[0.0000033085958,0.00021903831,0.000036044246,0.0007744822,0.000031299984,0.0007180261,2.5609216e-7,0.0005613714,0.00001766559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024811307,0.000026875148,0.000018918246,0.00004089021,0.000009183394,0.0000014023595,0.00028837644,0.7569279,0.21147175,0.000002684962,0.0000031283055,0.031184083],"study_design_scores_gemma":[0.00067835336,0.00003012594,0.000010856762,0.00007887322,0.000015772337,0.000016618766,0.0001280277,0.87581545,0.12285998,0.00006075599,0.0000860846,0.00021912181],"about_ca_topic_score_codex":0.000014696706,"about_ca_topic_score_gemma":0.00032000555,"teacher_disagreement_score":0.97191244,"about_ca_system_score_codex":0.00014754075,"about_ca_system_score_gemma":0.000062745115,"threshold_uncertainty_score":0.8932123},"labels":[],"label_agreement":null},{"id":"W2169268946","doi":"10.1109/twc.2011.062111.101748","title":"Leakage Based Precoding for Multi-User MIMO-OFDM Systems","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Precoding; Zero-forcing precoding; Orthogonal frequency-division multiplexing; Computer science; MIMO-OFDM; Telecommunications link; MIMO; Multi-user MIMO; Transmitter; Electronic engineering; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.07448973388832937,"score_gpt":0.2767554592054475,"score_spread":0.20226572531711812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169268946","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":[0.0007311025,0.00022765258,0.9948836,0.000029025843,0.0007721884,0.0011289275,0.00016659262,0.0009222937,0.0011386462],"genre_scores_gemma":[0.88274986,0.00018472418,0.11470647,0.000019667219,0.000019179224,0.001539406,0.0000325791,0.00011064843,0.00063747185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883616,0.000089964175,0.00046347766,0.00022266107,0.00009687953,0.00029085297],"domain_scores_gemma":[0.99783665,0.00024380628,0.000086081796,0.0015838074,0.00014940604,0.00010023644],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001633809,0.00024374384,0.00025808593,0.00024200334,0.0004439556,0.00004209597,0.00064605614,0.00015604167,0.000026013402],"category_scores_gemma":[0.000006008866,0.0002804259,0.00013395137,0.0003076507,0.0000773785,0.000319356,0.0000026372484,0.00029190505,0.00004987947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020215653,0.00031646935,0.000018562376,0.0001819062,0.00009728312,3.5749056e-7,0.00081063394,0.9893452,0.003565203,0.0014469835,0.00011457285,0.004082608],"study_design_scores_gemma":[0.00077444565,0.000038447823,0.000018919889,0.00016208191,0.00005891932,0.0000029648766,0.0002723852,0.9805711,0.015755583,0.000008355772,0.002020942,0.00031588352],"about_ca_topic_score_codex":0.000068799585,"about_ca_topic_score_gemma":0.0002607023,"teacher_disagreement_score":0.88201874,"about_ca_system_score_codex":0.00017627777,"about_ca_system_score_gemma":0.00003069435,"threshold_uncertainty_score":0.9999648},"labels":[],"label_agreement":null},{"id":"W2169773204","doi":"10.1109/tit.2011.2112030","title":"Randomized Resource Allocation in Decentralized Wireless Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Blackberry (Canada); University of Waterloo","funders":"","keywords":"Transmitter; Computer science; Transmission (telecommunications); Mutual information; Random variable; Gaussian; Wireless network; Wireless; Signal-to-noise ratio (imaging); Interference (communication); Frequency-hopping spread spectrum; Topology (electrical circuits); Theoretical computer science; Algorithm; Mathematics; Telecommunications; Statistics; Combinatorics; Artificial intelligence; Physics","score_opus":0.008641948144708471,"score_gpt":0.19861223029093286,"score_spread":0.18997028214622438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169773204","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":[0.0022991272,0.000039113715,0.98775226,0.000006139927,0.00047948284,0.0006587229,0.0000051080265,0.00042737884,0.008332652],"genre_scores_gemma":[0.99748164,0.00018681437,0.0018805091,0.000076013996,0.000012022058,0.00025324745,0.000021561797,0.000024617475,0.00006355832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988117,0.00017101927,0.00061312807,0.000083128114,0.000109999855,0.00021097698],"domain_scores_gemma":[0.9994187,0.00016496144,0.000093558476,0.00021559652,0.000050498762,0.000056712703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064072903,0.00016606522,0.00025676793,0.00032788736,0.000066762455,0.000024247445,0.00011130432,0.00013432327,0.00014914369],"category_scores_gemma":[0.0000108156555,0.0001679406,0.00008222058,0.0003322688,0.00005283346,0.0010928711,4.8678527e-7,0.0002121489,0.000081506674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00410844,0.000020920259,7.221549e-7,0.000027262713,0.000028521705,2.7109638e-7,0.0028833842,0.96736395,0.000014719572,0.004143594,0.00002080488,0.021387406],"study_design_scores_gemma":[0.03258577,0.00001575122,0.000008213477,0.0000876566,0.000028758146,0.00000517454,0.00052348594,0.9604643,0.004954669,0.00083988154,0.00022884794,0.00025746567],"about_ca_topic_score_codex":0.000014238276,"about_ca_topic_score_gemma":0.0000116893625,"teacher_disagreement_score":0.9951825,"about_ca_system_score_codex":0.00013350262,"about_ca_system_score_gemma":0.000011408293,"threshold_uncertainty_score":0.6848419},"labels":[],"label_agreement":null},{"id":"W2169793083","doi":"10.1109/isssta.2008.49","title":"Efficient Transmission Technique for MIMO-OFDM Broadcast Channels with Limited Feedback","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subcarrier; Computer science; Orthogonal frequency-division multiplexing; MIMO; Transmission (telecommunications); Telecommunications link; Base station; Overhead (engineering); MIMO-OFDM; Computer network; Electronic engineering; Channel (broadcasting); Throughput; Space-division multiple access; Telecommunications; Engineering; Wireless","score_opus":0.012516128514258878,"score_gpt":0.21078585570480948,"score_spread":0.1982697271905506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169793083","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":[0.0039048297,0.0001375597,0.9913386,0.000029552792,0.00010016283,0.0012665507,0.000005608027,0.0006852869,0.0025318547],"genre_scores_gemma":[0.7816723,0.000038290542,0.21663707,0.000018825107,0.000068871785,0.00035920442,0.000024070952,0.00008684547,0.0010944988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992393,0.000008348579,0.00020420806,0.00019485554,0.00009890605,0.00025437152],"domain_scores_gemma":[0.9995946,0.00003228813,0.000026675802,0.00018143059,0.00007980093,0.000085192885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056257082,0.00018171995,0.0001793841,0.00010646276,0.00009144722,0.000009235434,0.00008165948,0.00010024455,0.000027277816],"category_scores_gemma":[0.0000062568874,0.00014691631,0.000044236924,0.00025205436,0.000024446892,0.000061149636,0.000005755168,0.00007606695,0.000011168018],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003124314,0.000025553038,0.0000072891603,0.000091688584,0.000011610392,0.0000034042628,0.00025679707,0.9683837,0.029636452,0.000040700535,0.00046329363,0.0010482299],"study_design_scores_gemma":[0.0009120251,0.00014400358,0.000013967579,0.00013911168,0.000010836736,0.0001010585,0.00005952236,0.79739493,0.19523026,0.000010678928,0.0056526978,0.00033087813],"about_ca_topic_score_codex":0.0000043003197,"about_ca_topic_score_gemma":9.2095576e-7,"teacher_disagreement_score":0.7777675,"about_ca_system_score_codex":0.00006273936,"about_ca_system_score_gemma":0.000012950991,"threshold_uncertainty_score":0.5991073},"labels":[],"label_agreement":null},{"id":"W2169842461","doi":"10.1109/lcomm.2011.051011.101684","title":"Long Term Cluster-Based Channel Envelope and Phase Prediction for Dynamic Link Adaptation","year":2011,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiplexing; Channel (broadcasting); Computer science; Multipath propagation; Envelope (radar); Phase (matter); Term (time); Cluster (spacecraft); Electronic engineering; Algorithm; Telecommunications; Physics; Computer network; Engineering","score_opus":0.04224296458206092,"score_gpt":0.26723413493404174,"score_spread":0.22499117035198082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169842461","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":[0.023993338,0.0002551848,0.97368044,0.0005811598,0.0002765627,0.0007158046,0.000057904996,0.00034415125,0.00009542989],"genre_scores_gemma":[0.92021555,0.00013983925,0.07863536,0.00017791489,0.00003659354,0.0004175264,0.00031719345,0.000048505735,0.000011551815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932754,0.00004405005,0.00027803562,0.00014292079,0.000053361066,0.00015409695],"domain_scores_gemma":[0.9989962,0.0000960333,0.00007642461,0.00072274037,0.000059942693,0.000048642727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012317834,0.00013628714,0.00011882458,0.00015309521,0.00016997599,0.000023251025,0.00025876935,0.00006937855,0.0000023466807],"category_scores_gemma":[0.000018470568,0.00016179733,0.000033644166,0.00013067159,0.000069591515,0.00030150855,0.000022669648,0.00011686645,0.0000047278886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001122691,0.00023063035,0.000565997,0.0004672378,0.00016532485,0.0000014696035,0.007987535,0.8698572,0.0519031,0.000115534844,0.00083638245,0.06775732],"study_design_scores_gemma":[0.0013027784,0.000042568794,0.0008748129,0.000076951095,0.000036772657,0.0000037632674,0.00005986645,0.9959636,0.0012634572,0.000031022417,0.0001760817,0.00016836086],"about_ca_topic_score_codex":0.000008107391,"about_ca_topic_score_gemma":0.000052988937,"teacher_disagreement_score":0.8962222,"about_ca_system_score_codex":0.000104312865,"about_ca_system_score_gemma":0.000010677109,"threshold_uncertainty_score":0.65979034},"labels":[],"label_agreement":null},{"id":"W2169995684","doi":"10.1109/mwc.2011.6056694","title":"Green last mile: how fiber-connected massively distributed antenna systems can save energy","year":2011,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"French Muscular Dystrophy Association","keywords":"Computer science; Computer network; Distributed antenna system; Wireless broadband; Last mile (transportation); Femtocell; Radio over fiber; Base station; Energy consumption; Broadband; Wireless; Distributed computing; Telecommunications; Wireless network; Mile; Electrical engineering; Engineering","score_opus":0.028556008928954265,"score_gpt":0.21323016816241006,"score_spread":0.1846741592334558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169995684","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":[0.015239088,0.002176815,0.97036123,0.00040839255,0.001312409,0.00085695705,0.0015598397,0.0024004842,0.005684806],"genre_scores_gemma":[0.9942284,0.00043678208,0.0033752187,0.000014589654,0.0000685936,0.00032277041,0.0006821098,0.000099746976,0.0007717478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986899,0.00016326582,0.00040650865,0.00023385526,0.00013636694,0.00037010203],"domain_scores_gemma":[0.99728686,0.00014257748,0.00017102067,0.001960318,0.00028919033,0.0001500668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007940736,0.00028793106,0.0003475581,0.00015578662,0.00026045297,0.00006035513,0.0010289435,0.00017700825,0.000016489257],"category_scores_gemma":[0.000025921296,0.00031883668,0.00007207231,0.0005722286,0.00013535804,0.00026455644,0.00011600325,0.00025085988,0.000029778334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018150975,0.0020935347,0.008316996,0.0022946408,0.004336169,0.00016959857,0.029091118,0.5186887,0.23412216,0.12087212,0.03387671,0.045956768],"study_design_scores_gemma":[0.0010253197,0.00005809448,0.0013049148,0.00047316225,0.00011164956,0.00007054911,0.001717885,0.9721045,0.0051600924,0.00015875445,0.016659234,0.0011558303],"about_ca_topic_score_codex":0.0009160244,"about_ca_topic_score_gemma":0.0017759788,"teacher_disagreement_score":0.97898936,"about_ca_system_score_codex":0.0002234873,"about_ca_system_score_gemma":0.000039629027,"threshold_uncertainty_score":0.9999264},"labels":[],"label_agreement":null},{"id":"W2170363573","doi":"10.1109/isit.2009.5205269","title":"Relay-aided interference alignment for the quasi-static X channel","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Relay; Fading; Channel (broadcasting); Interference (communication); Topology (electrical circuits); MIMO; Simple (philosophy); Computer science; Relay channel; Power (physics); Antenna (radio); Interference alignment; Computer network; Telecommunications; Electrical engineering; Physics; Engineering","score_opus":0.018350660462425755,"score_gpt":0.24512967479652253,"score_spread":0.22677901433409678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170363573","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":[0.0002118878,0.0001553444,0.9964983,0.00038709622,0.00024830733,0.00043421763,0.0000032447813,0.00023125178,0.0018303739],"genre_scores_gemma":[0.9846926,0.00004710374,0.013965755,0.00016088063,0.000049150043,0.00007769277,0.0000057728535,0.000015767366,0.0009853297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995384,0.0000064623846,0.00016367702,0.00009232891,0.000049224425,0.00014990379],"domain_scores_gemma":[0.99965936,0.00009092585,0.000020673762,0.00017686989,0.000025495094,0.00002666143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007850541,0.00009131805,0.000089237365,0.000023783403,0.00004155621,0.000018030238,0.000103872255,0.000028081939,0.00001704894],"category_scores_gemma":[0.000027366159,0.00006360216,0.000028300215,0.000065733664,0.0000069183525,0.00009269537,0.0000061616424,0.0000413143,0.000020520796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062556173,0.00001362354,0.0000012939173,0.00002371576,0.000016434067,3.4796327e-7,0.0005262953,0.9861448,0.00071306416,0.003373546,0.003637154,0.005543516],"study_design_scores_gemma":[0.00024117938,0.00009282866,0.000015384876,0.000031379164,0.000010206588,0.0000025048805,0.00036453857,0.9932652,0.0034290417,0.0015514765,0.00088201626,0.00011422767],"about_ca_topic_score_codex":0.0000030939527,"about_ca_topic_score_gemma":0.00000687006,"teacher_disagreement_score":0.9844807,"about_ca_system_score_codex":0.000054964803,"about_ca_system_score_gemma":0.0000035502558,"threshold_uncertainty_score":0.25936207},"labels":[],"label_agreement":null},{"id":"W2170670130","doi":"10.1109/ccece.2002.1012944","title":"Optimal radioport placement in cellular networks","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Heuristic; Genetic algorithm; Wireless network; Mathematical optimization; Wireless; Path (computing); Algorithm; Power (physics); Computer network; Mathematics; Telecommunications; Artificial intelligence","score_opus":0.005538963027661823,"score_gpt":0.19048080155132505,"score_spread":0.18494183852366322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170670130","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":[0.0077949283,0.00036127452,0.9502052,0.0000019853617,0.0002485196,0.00015363771,1.8487053e-7,0.00016081148,0.041073453],"genre_scores_gemma":[0.959429,0.00003557124,0.03941588,0.000009954023,0.000028127117,0.000021786898,0.000006361497,0.000025850755,0.0010274574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994935,0.000011681455,0.00017415978,0.00009458685,0.000048152953,0.00017795443],"domain_scores_gemma":[0.99981517,0.000009076569,0.000011112982,0.00012100935,0.000008390592,0.000035266352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010389228,0.000085672684,0.00009565139,0.000048451857,0.000011369917,0.000008028245,0.000036886875,0.000048913203,0.00020022325],"category_scores_gemma":[0.000006282061,0.00009026073,0.000015308426,0.00013574,0.0000050538774,0.000082910876,0.000004250678,0.000070116395,0.00001841875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.922311e-7,0.000005848785,0.0003676186,0.0000066207754,0.0000041023277,0.0000062876393,0.000031512398,0.99789524,0.00028595797,0.0008617131,0.00047115132,0.000062975225],"study_design_scores_gemma":[0.0003371685,0.000008809483,0.000018278784,0.000010314626,0.0000020643965,0.0000043477403,0.00008833573,0.9914447,0.003947988,0.000008491064,0.0039912895,0.00013820415],"about_ca_topic_score_codex":0.0000027389424,"about_ca_topic_score_gemma":0.000006083962,"teacher_disagreement_score":0.9516341,"about_ca_system_score_codex":0.000089987305,"about_ca_system_score_gemma":0.000004893548,"threshold_uncertainty_score":0.36807257},"labels":[],"label_agreement":null},{"id":"W2170901018","doi":"10.2528/pierb12110907","title":"EXPERIMENTAL CHARACTERIZATION OF A MIMO UNDERGROUND MINE CHANNEL AT 2.45 GHZ","year":2013,"lang":"en","type":"article","venue":"Progress In Electromagnetics Research B","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada; National Science Council","keywords":"Non-line-of-sight propagation; MIMO; Path loss; Delay spread; Computer science; Channel (broadcasting); Transmission (telecommunications); Transmitter; Channel capacity; Topology (electrical circuits); Telecommunications; Wireless; Mathematics; Fading","score_opus":0.024218007406414412,"score_gpt":0.3076766538344657,"score_spread":0.2834586464280513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170901018","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":[0.9920061,0.0031394777,0.0024435292,0.00008316348,0.00009457799,0.0011038556,0.0000053010235,0.00010624375,0.0010177089],"genre_scores_gemma":[0.9963105,0.00024922105,0.0021820904,0.0000030810759,0.000061768194,0.00066991826,0.00007162033,0.00006428631,0.00038752976],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99820995,0.0001112332,0.0003716703,0.00024337108,0.00041627887,0.00064747705],"domain_scores_gemma":[0.99929804,0.00005918426,0.00005069993,0.0002792544,0.00021452371,0.00009829342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025639296,0.00016388197,0.00021395074,0.0003821112,0.0000589037,0.00004904989,0.00023030902,0.00011903918,0.00013258021],"category_scores_gemma":[0.000033939403,0.00017789517,0.00002821592,0.0006942888,0.00015436453,0.0002736578,0.00010248493,0.00025539706,0.00004265918],"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":[0.000027095653,0.00016847106,0.0010364465,0.00018645677,0.000017202336,0.0000051113916,0.00042586794,0.0018122488,0.9926123,0.00019977705,0.0001231091,0.0033858959],"study_design_scores_gemma":[0.0008812999,0.00085396355,0.004443713,0.00011797891,0.0000032914672,0.000013628474,0.00014341553,0.3356012,0.65714896,0.00032342266,0.00016734003,0.0003017913],"about_ca_topic_score_codex":0.000023107781,"about_ca_topic_score_gemma":0.000019181782,"teacher_disagreement_score":0.33546337,"about_ca_system_score_codex":0.00039364226,"about_ca_system_score_gemma":0.00002457893,"threshold_uncertainty_score":0.72543544},"labels":[],"label_agreement":null},{"id":"W2171007278","doi":"10.4236/ijcns.2010.31001","title":"Achievable Rate Regions for Orthogonally Multiplexed MIMO Broadcast Channels with Multi-Dimensional Modulation","year":2010,"lang":"en","type":"article","venue":"International Journal of Communications Network and System Sciences","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Transmitter; MIMO; Multiplexing; Computer science; Channel (broadcasting); Multipath propagation; Transmitter power output; Spatial multiplexing; Antenna (radio); Electronic engineering; Topology (electrical circuits); Telecommunications; Mathematics; Engineering","score_opus":0.02843825083418203,"score_gpt":0.2797449019868585,"score_spread":0.2513066511526764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171007278","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":[0.060098764,0.0011467782,0.9336812,0.0010201286,0.002729053,0.000540193,0.000023105473,0.00010370836,0.00065705733],"genre_scores_gemma":[0.8148591,0.0000847141,0.18464766,0.000018131315,0.00028384145,0.000024910143,0.000015583735,0.000013912113,0.000052151703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988571,0.00007413242,0.0005262568,0.0001234564,0.0002530492,0.00016604637],"domain_scores_gemma":[0.99811757,0.00039281772,0.00036371758,0.00026233,0.000782596,0.00008097758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010098097,0.00012931324,0.00019901354,0.00018418614,0.00037367333,0.00014472741,0.00072689523,0.000061660416,0.0000024988751],"category_scores_gemma":[0.000060615523,0.00010312514,0.00005729845,0.00022856946,0.00019858203,0.00055813027,0.00006439293,0.00019639432,0.0000012875244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034841632,0.000026636006,0.0007913482,0.000014727204,0.00007653422,0.0000012529758,0.00017995243,0.97891295,0.0022598759,0.016385544,0.00018100235,0.0011353227],"study_design_scores_gemma":[0.00080498226,0.00006759758,0.0007194093,0.000269019,0.000019653295,0.00026535988,0.0002743095,0.99387926,0.00006684978,0.00032650243,0.003166753,0.00014027693],"about_ca_topic_score_codex":0.000007711185,"about_ca_topic_score_gemma":0.000106634994,"teacher_disagreement_score":0.7547603,"about_ca_system_score_codex":0.000044824814,"about_ca_system_score_gemma":0.00007288335,"threshold_uncertainty_score":0.4205321},"labels":[],"label_agreement":null},{"id":"W2171838429","doi":"10.1109/ccece.2007.87","title":"Linear Matrix Inequality Formulations of Robust QoS Precoding for Broadcast Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Quality of service; Computer science; Transmitter; Mathematical optimization; Channel state information; Channel (broadcasting); Linear matrix inequality; Robustness (evolution); Transmitter power output; Computer network; MIMO; Wireless; Mathematics; Telecommunications","score_opus":0.04072006800394938,"score_gpt":0.3036995584718038,"score_spread":0.2629794904678544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171838429","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":[0.009051106,0.00005320038,0.9876883,0.0000071376744,0.00040691378,0.0004960412,0.000025301691,0.00024091917,0.0020311058],"genre_scores_gemma":[0.7466396,0.0000052422624,0.25271285,0.0000031183201,0.00019956937,0.000017850543,0.000029155366,0.000027285045,0.0003653384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924046,0.000004835571,0.00040027977,0.000098520235,0.000063678446,0.00019220453],"domain_scores_gemma":[0.99952155,0.00011934286,0.000060004233,0.00014783337,0.00010825536,0.00004302184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002952234,0.00009530918,0.00015296826,0.00010120682,0.000038728405,0.000006717082,0.00006045177,0.00007264182,0.000026713029],"category_scores_gemma":[0.000055615645,0.00009800509,0.000050279286,0.00017149509,0.000007600748,0.00021788603,0.000012206484,0.000043964388,0.000004517679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071732234,0.000009676316,0.00022078531,0.00016748227,0.000012891668,9.898224e-8,0.00017725232,0.99347156,0.0025103528,0.002302132,0.00010526471,0.0010153438],"study_design_scores_gemma":[0.00040929462,0.00002512626,0.00009645175,0.00003770049,0.00001060787,0.0000017925028,0.000120974524,0.9654974,0.032756556,0.00020328864,0.0006891653,0.00015169157],"about_ca_topic_score_codex":0.000010616725,"about_ca_topic_score_gemma":0.000018162353,"teacher_disagreement_score":0.73758847,"about_ca_system_score_codex":0.000054688506,"about_ca_system_score_gemma":0.000005602625,"threshold_uncertainty_score":0.39965314},"labels":[],"label_agreement":null},{"id":"W2171942118","doi":"10.1109/issse.2007.4294468","title":"On Asymptotic Outage Capacity Distribution of Correlated MIMO Channels","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Toeplitz matrix; MIMO; Convergence (economics); Eigenvalues and eigenvectors; Applied mathematics; Mathematics; Topology (electrical circuits); Asymptotic distribution; Channel capacity; Channel (broadcasting); Matrix (chemical analysis); Computer science; Mathematical optimization; Combinatorics; Pure mathematics; Telecommunications; Statistics; Physics","score_opus":0.009506745481154086,"score_gpt":0.2091246574592961,"score_spread":0.199617911978142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171942118","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":[0.21686967,0.0000150906635,0.77741814,0.0000029838397,0.0004689888,0.00013463943,0.000013759506,0.00023659755,0.0048401156],"genre_scores_gemma":[0.9987864,0.0000030973872,0.00084337,0.000006074912,0.000028185661,0.0000024342148,0.00006359377,0.000017957664,0.0002488681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993948,0.000007841569,0.0002447811,0.00009370155,0.0000879198,0.00017099404],"domain_scores_gemma":[0.9996612,0.000059764858,0.000039538307,0.00014175093,0.000051072966,0.000046644378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014388212,0.00009942016,0.00012866977,0.00005149607,0.000020210106,0.0000046131445,0.00004931009,0.00009088455,0.000037215534],"category_scores_gemma":[0.00004582002,0.00009742444,0.000030623927,0.00018558404,0.000016865702,0.00008699423,0.0000062047407,0.00008706758,0.000043500022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009848755,0.00002240542,0.00020213753,0.000044049768,0.000016625489,0.0000017532196,0.000107920154,0.9895657,0.0037369248,0.0056297253,0.0002648682,0.00039807722],"study_design_scores_gemma":[0.0011139091,0.00016743095,0.0036798578,0.00019367292,0.000028969527,0.000013185423,0.00015539417,0.8202257,0.17269996,0.00085539545,0.00035447456,0.00051204156],"about_ca_topic_score_codex":0.000015200181,"about_ca_topic_score_gemma":0.0000078647145,"teacher_disagreement_score":0.78191674,"about_ca_system_score_codex":0.000111066365,"about_ca_system_score_gemma":0.0000025780512,"threshold_uncertainty_score":0.3972853},"labels":[],"label_agreement":null},{"id":"W2172174005","doi":"10.1109/tit.2007.915976","title":"Broadcast in MIMO Systems Based on a Generalized QR Decomposition: Signaling and Performance Analysis","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Orthogonalization; Dirty paper coding; Mathematics; QR decomposition; MIMO; Diversity gain; Interference (communication); Cumulative distribution function; Algorithm; Spectral efficiency; Upper and lower bounds; Topology (electrical circuits); Single antenna interference cancellation; Computer science; Beamforming; Precoding; Telecommunications; Combinatorics; Decoding methods; Probability density function; Statistics; Eigenvalues and eigenvectors; Channel (broadcasting); Mathematical analysis; Physics","score_opus":0.007469975098461612,"score_gpt":0.20647308531790842,"score_spread":0.1990031102194468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172174005","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":[0.14071396,0.000040401294,0.8576357,0.0000056814574,0.00023933238,0.00026199914,0.000025677266,0.00020584467,0.0008714179],"genre_scores_gemma":[0.99746317,0.00009538983,0.0021452287,0.00006749943,0.000017361212,0.00012144894,0.000035156852,0.000016809256,0.00003792413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990053,0.00007407519,0.00047820306,0.00010809569,0.00016419667,0.00017009916],"domain_scores_gemma":[0.9995007,0.00010467275,0.00007684462,0.00019844138,0.000058827256,0.000060502385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023336809,0.00017642512,0.00022888901,0.00093002524,0.00018424899,0.000040593648,0.00006558623,0.000094436735,0.00004172222],"category_scores_gemma":[0.0000027759086,0.00018607354,0.000069174734,0.00074259925,0.000032669075,0.0009376722,4.02719e-7,0.00016987663,0.000038223123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010029317,0.000018628414,0.000046718,0.00008066317,0.000056369798,9.915377e-7,0.0006782202,0.9961246,0.00013683784,0.00009351703,0.0000065542094,0.002656589],"study_design_scores_gemma":[0.0007990067,0.000056357356,0.00015351665,0.00008174793,0.000051817093,0.000013794953,0.00014696598,0.9944817,0.003946617,0.000007714329,0.00006410943,0.00019666222],"about_ca_topic_score_codex":0.0000106250145,"about_ca_topic_score_gemma":0.0000030865463,"teacher_disagreement_score":0.85674924,"about_ca_system_score_codex":0.00015948479,"about_ca_system_score_gemma":0.000016120062,"threshold_uncertainty_score":0.75878584},"labels":[],"label_agreement":null},{"id":"W2173564049","doi":"10.1109/iccchina.2015.7448664","title":"Hybrid analog-digital beamforming for multiuser MIMO millimeter wave relay systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Western University","funders":"","keywords":"Beamforming; Maximization; Estimator; Relay; MIMO; Minification; WSDMA; Block (permutation group theory)","score_opus":0.027281347076233236,"score_gpt":0.22482601276991449,"score_spread":0.19754466569368126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173564049","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":[0.00966837,0.00032035948,0.9817554,0.000008589059,0.00095717155,0.00063843286,0.000057106197,0.00055932585,0.006035272],"genre_scores_gemma":[0.91899616,0.000005896511,0.07780956,0.000016029306,0.00023117677,0.00012002157,0.0001225184,0.00009802567,0.0026006228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900067,0.000007428494,0.0003599535,0.00019847938,0.0001222095,0.00031128235],"domain_scores_gemma":[0.99934196,0.00006812037,0.000046221245,0.00025169036,0.00014324317,0.00014877491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013761777,0.0001912689,0.00023139219,0.00010987421,0.000036630307,0.00009289975,0.000088007975,0.000071810064,0.000004632913],"category_scores_gemma":[0.00008729569,0.00017463323,0.00006769988,0.00009129517,0.00001363596,0.0006683231,0.000022249926,0.00006958249,0.00006324338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000098067485,0.000009826869,0.00004918161,0.00009455721,0.000053166157,0.000004487805,0.00015463734,0.99284625,0.00049941137,0.00027346628,0.00474326,0.00126196],"study_design_scores_gemma":[0.0005582625,0.000049344384,0.0000018870728,0.000044241864,0.000015386267,0.000046649682,0.00034623875,0.9789342,0.0030625742,0.00008394934,0.016559226,0.00029802113],"about_ca_topic_score_codex":0.0000135015125,"about_ca_topic_score_gemma":0.0000039174693,"teacher_disagreement_score":0.9093278,"about_ca_system_score_codex":0.0001609074,"about_ca_system_score_gemma":0.000013254954,"threshold_uncertainty_score":0.7121336},"labels":[],"label_agreement":null},{"id":"W217396364","doi":"","title":"MIMO Channel Capacity in Co-Channel Interference","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Interference (communication); MIMO; Channel (broadcasting); Channel capacity; Zero-forcing precoding; Co-channel interference; Computer science; Precoding; Adjacent-channel interference; Noise (video); Electronic engineering; Telecommunications; Engineering; Artificial intelligence","score_opus":0.04256461953416561,"score_gpt":0.22199765288002052,"score_spread":0.17943303334585492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W217396364","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":[0.014663528,0.00016093408,0.9083906,0.000036540692,0.00037158807,0.0002154318,0.00000680147,0.0004960312,0.07565854],"genre_scores_gemma":[0.99743414,0.000057099234,0.0014833129,0.00002561673,0.000040664625,0.000025404728,0.0000031262996,0.000023498069,0.0009071307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994058,0.000011748784,0.00019112688,0.00013354397,0.00005293981,0.00020485345],"domain_scores_gemma":[0.9997415,0.000019606941,0.00001621256,0.00015626453,0.000019899671,0.000046526155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049269314,0.00011786481,0.00013355793,0.00010564682,0.000016658898,0.000012738076,0.00009366391,0.00006764428,0.00021844234],"category_scores_gemma":[0.000020139325,0.00012140929,0.00001966753,0.00016254034,0.000015060126,0.00020536021,0.000011561916,0.000115103794,0.0002342981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019121317,0.000029053424,0.000120812845,0.00006812375,0.000008719309,0.0000053823965,0.0016789768,0.99348134,0.0011343429,0.000310291,0.0024957873,0.00066528976],"study_design_scores_gemma":[0.00024222041,0.000014520358,0.00007481895,0.000048162492,0.0000012785936,0.0000066802304,0.00014693264,0.99517703,0.0037107135,0.00020031097,0.00019352138,0.00018381006],"about_ca_topic_score_codex":0.000037274996,"about_ca_topic_score_gemma":0.00015654005,"teacher_disagreement_score":0.9827706,"about_ca_system_score_codex":0.0000823905,"about_ca_system_score_gemma":0.000001027092,"threshold_uncertainty_score":0.49509275},"labels":[],"label_agreement":null},{"id":"W2174901413","doi":"10.1109/pacrim.2015.7334848","title":"Energy efficiency and spectrum efficiency in cooperative cloud radio access network","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"C-RAN; Computer science; Efficient energy use; Radio access network; Cloud computing; Computer network; Remote radio head; Transmission (telecommunications); Energy consumption; Telecommunications link; Stochastic geometry; Data transmission; Transmitter; Base station; Telecommunications; Engineering; Electrical engineering; Channel (broadcasting)","score_opus":0.012534499621910979,"score_gpt":0.23469986584612382,"score_spread":0.22216536622421285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2174901413","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":[0.010177314,0.0013630026,0.95808434,0.000036541256,0.00055244984,0.00016510434,0.0000010812859,0.0002487825,0.029371371],"genre_scores_gemma":[0.99818647,0.00007259475,0.0010927151,0.00003431931,0.00021217113,0.000016461816,0.0000059337344,0.000027740958,0.00035161412],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915206,0.000034839617,0.00022828329,0.00019659905,0.00009286839,0.00029531846],"domain_scores_gemma":[0.99965763,0.000041486375,0.000023475144,0.00014817901,0.00002727331,0.00010197328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016413322,0.00014727973,0.00018798196,0.00008249067,0.00003491788,0.000054816977,0.00013834168,0.000063256535,0.000016657177],"category_scores_gemma":[0.000024187919,0.000135988,0.000012144853,0.00055175833,0.000031631997,0.0002777046,0.000050527357,0.00008282473,0.000006522476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047733365,0.000011391687,0.000467475,0.000007124741,0.0000034814568,0.0000046093837,0.00018213931,0.99289536,0.000022962558,0.0048037507,0.0013145567,0.000282346],"study_design_scores_gemma":[0.00061719376,0.000050486964,0.00008443108,0.00002897289,0.0000031300806,0.000012273028,0.00012193511,0.99592334,0.00085769885,0.0003497229,0.0017124622,0.00023836306],"about_ca_topic_score_codex":0.000066295506,"about_ca_topic_score_gemma":0.00022263401,"teacher_disagreement_score":0.98800915,"about_ca_system_score_codex":0.000115276634,"about_ca_system_score_gemma":0.000025475563,"threshold_uncertainty_score":0.55454296},"labels":[],"label_agreement":null},{"id":"W2175185983","doi":"10.48550/arxiv.1312.1957","title":"Uplink Interference Analysis for Two-tier Cellular Networks with Diverse Users under Random Spatial Patterns","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Base station; Stochastic geometry; Telecommunications link; Interference (communication); Cellular network; Heterogeneous network; Tier 2 network; Computer network; Telecommunications; Wireless network; Mathematics; Wireless; Channel (broadcasting); Statistics","score_opus":0.03382491876846548,"score_gpt":0.17294927201044125,"score_spread":0.13912435324197575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175185983","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":[0.1455386,0.00004511664,0.85264343,0.0000035063736,0.00048499662,0.0008352022,0.000048632486,0.0002778873,0.00012261898],"genre_scores_gemma":[0.9969219,0.00009663957,0.0018394422,0.000012982823,0.00014710515,0.000014605721,0.00036746726,0.00008296285,0.0005169174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841106,0.000059599108,0.00027973088,0.0007724902,0.000057655976,0.00041948326],"domain_scores_gemma":[0.99856555,0.00010061143,0.00019013823,0.00076456123,0.00021518614,0.00016393805],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010307042,0.00048292254,0.0006571112,0.00040037863,0.000101154896,0.000080789425,0.00049024663,0.00033021116,0.00012532205],"category_scores_gemma":[0.00000753846,0.00051687635,0.00031967572,0.00044749363,0.000066617315,0.00026567117,0.0002797012,0.00046400228,0.000017372118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013491129,0.000017744009,0.009279314,0.00011150787,0.0014211677,0.000022487044,0.00010702878,0.98846465,0.000018082435,0.00030942835,0.000026218626,0.00008745956],"study_design_scores_gemma":[0.002095376,0.00003364904,0.00025943093,0.00012155422,0.0014478224,5.56589e-7,0.00018814644,0.9949475,0.000092923314,0.00021093339,0.000009998238,0.0005921457],"about_ca_topic_score_codex":0.00080084684,"about_ca_topic_score_gemma":0.0010026358,"teacher_disagreement_score":0.85138327,"about_ca_system_score_codex":0.00034388716,"about_ca_system_score_gemma":0.000031876145,"threshold_uncertainty_score":0.99972826},"labels":[],"label_agreement":null},{"id":"W2178694053","doi":"10.1109/pacrim.2015.7334821","title":"Multiple-threshold rank-detection for reduced-rank MIMO channels","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rank (graph theory); MIMO; Channel (broadcasting); Algorithm; Computer science; Matrix (chemical analysis); Low-rank approximation; Threshold limit value; Singular value; Mathematics; Eigenvalues and eigenvectors; Telecommunications; Physics; Combinatorics","score_opus":0.027655885301416314,"score_gpt":0.246592706418396,"score_spread":0.2189368211169797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178694053","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":[0.011446356,0.00019095422,0.9804792,0.000036975784,0.0020959931,0.00075192226,0.0000073259666,0.0009437308,0.0040475666],"genre_scores_gemma":[0.9837846,0.000010429723,0.0142739685,0.000018449107,0.0004152721,0.00021057061,0.00002148995,0.00006973483,0.0011954542],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992233,0.00000855211,0.0002375826,0.00018677072,0.00009646664,0.0002473472],"domain_scores_gemma":[0.9994762,0.000042126376,0.00003127301,0.00021392359,0.00012274912,0.000113722774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551738,0.00015647168,0.00016947393,0.000098111326,0.00004423323,0.00002808616,0.000084393585,0.00011290715,0.000010521597],"category_scores_gemma":[0.00008774509,0.00015797035,0.000054258067,0.0001560419,0.000011098903,0.00028929627,0.000012053335,0.00007200039,0.000050007937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034615416,0.000010154026,0.000018613657,0.000057520232,0.00002145283,5.5155147e-7,0.00024859092,0.96029913,0.034529865,0.000103607286,0.002259296,0.00241661],"study_design_scores_gemma":[0.0014456148,0.00005447668,0.0000058415358,0.000020652978,0.000011119913,0.0000076226024,0.00016956638,0.8650985,0.12751217,0.0002826391,0.0051541724,0.00023766294],"about_ca_topic_score_codex":0.000014605302,"about_ca_topic_score_gemma":0.000030058389,"teacher_disagreement_score":0.97233826,"about_ca_system_score_codex":0.0001241223,"about_ca_system_score_gemma":0.000009697325,"threshold_uncertainty_score":0.6441844},"labels":[],"label_agreement":null},{"id":"W2182484825","doi":"10.1109/tcomm.2015.2469690","title":"Rate Maximization Through Structured Spectrum Allocation and User Association in Heterogeneous Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Bell Canada Enterprises","keywords":"Mathematical optimization; Telecommunications link; Computer science; Association scheme; Frequency allocation; Maximization; Nash equilibrium; Geometric programming; Convex optimization; Base station; Association (psychology); Stochastic geometry; Regular polygon; Mathematics; Statistics; Computer network","score_opus":0.019791996952064145,"score_gpt":0.23176952567860368,"score_spread":0.21197752872653952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2182484825","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":[0.0054451143,0.0005264854,0.9919463,0.00038232768,0.00045339105,0.00046200142,0.000017255357,0.00030608088,0.0004610471],"genre_scores_gemma":[0.987675,0.0012481149,0.010583631,0.000047271067,0.000029673562,0.0001288248,0.00007391248,0.000053754076,0.00015977866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889064,0.0001957995,0.00038201903,0.00018961291,0.00012249447,0.0002194244],"domain_scores_gemma":[0.9988456,0.00013267377,0.000098310295,0.00075361534,0.00009620163,0.000073598814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023887068,0.0001841108,0.0001855495,0.0001543107,0.0001533245,0.000059320028,0.00023091026,0.00018409068,0.000010627699],"category_scores_gemma":[0.000015691601,0.00022210479,0.0000361686,0.0004856503,0.000034496978,0.00044666757,0.000004037262,0.00032855212,0.0000141057235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009212443,0.000039927156,0.00008489379,0.000008105369,0.000030302934,4.4360462e-7,0.0004458949,0.99792284,0.0005277041,0.0001849089,0.0000650247,0.00068076234],"study_design_scores_gemma":[0.0007592248,0.00003319791,0.00012395608,0.000037279682,0.00003786516,0.0000055188048,0.00013225878,0.9900778,0.0068111313,0.00078748236,0.00093488075,0.00025943352],"about_ca_topic_score_codex":0.00007253112,"about_ca_topic_score_gemma":0.0011125904,"teacher_disagreement_score":0.98222995,"about_ca_system_score_codex":0.0005925714,"about_ca_system_score_gemma":0.000025137886,"threshold_uncertainty_score":0.905717},"labels":[],"label_agreement":null},{"id":"W2184347263","doi":"10.1109/pimrc.2015.7343369","title":"Progressive hybrid precoder design for packet retransmissions in large-scale MIMO systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Baseband; Retransmission; Computer science; MIMO; Channel state information; Transmitter; Transmission (telecommunications); Control theory (sociology); Algorithm; Electronic engineering; Channel (broadcasting); Topology (electrical circuits); Mathematics; Engineering; Computer network; Wireless; Telecommunications; Bandwidth (computing)","score_opus":0.029768867036254212,"score_gpt":0.26024070179896375,"score_spread":0.23047183476270955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184347263","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":[0.0013598922,0.0010286389,0.99304855,0.000026856556,0.00043495407,0.0016744413,0.000033829452,0.0004041171,0.001988712],"genre_scores_gemma":[0.7799633,0.000016680086,0.21728821,0.000010553665,0.00013183852,0.0009520596,0.0000626308,0.00010342302,0.0014713223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901,0.000045638397,0.0003181078,0.00019476358,0.00010463534,0.00032683116],"domain_scores_gemma":[0.99942976,0.00007082452,0.000037058184,0.00020450226,0.00011305164,0.00014482271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032489726,0.000154655,0.0002198136,0.00009579514,0.000030320563,0.000032019303,0.00009965864,0.00008356878,0.000017876582],"category_scores_gemma":[0.00006483109,0.00013934735,0.00003316983,0.00015742776,0.000009798164,0.00024442215,0.000009690225,0.00008685813,0.000016925995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002281098,0.000034183344,0.00015636857,0.00015136057,0.0000145560525,0.0000062285917,0.0005488289,0.9881482,0.0002241338,0.00015191094,0.010241353,0.0003000272],"study_design_scores_gemma":[0.0008023613,0.00005219553,0.000008871188,0.00014804812,0.000008689079,0.000017709353,0.00060444116,0.9910023,0.0041350685,0.0003073803,0.0026974664,0.00021545168],"about_ca_topic_score_codex":0.0000058960404,"about_ca_topic_score_gemma":0.000012325057,"teacher_disagreement_score":0.7786034,"about_ca_system_score_codex":0.00012872636,"about_ca_system_score_gemma":0.00003437869,"threshold_uncertainty_score":0.568242},"labels":[],"label_agreement":null},{"id":"W2184656775","doi":"10.1109/wcsp.2015.7341022","title":"Generalized iterative water-filling for MIMO MAC with mixed constraints (invited)","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Inner loop; Mathematical optimization; Convergence (economics); Maximization; Iterative method; MIMO; Weighting; Computer science; Algorithm; Interior point method; Rate of convergence; Covariance; Loop (graph theory); Mathematics; Channel (broadcasting)","score_opus":0.02266058130068323,"score_gpt":0.2337184267663044,"score_spread":0.21105784546562115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2184656775","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":[0.022571696,0.0000800299,0.9738688,0.00006119278,0.00027789484,0.00051847287,0.000024350438,0.00038578495,0.0022117766],"genre_scores_gemma":[0.69632244,0.0000056593553,0.3024296,0.00008678106,0.000106761065,0.00013763174,0.00018144163,0.000065661276,0.0006640389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992909,0.000016917627,0.00019980394,0.00016110697,0.000080669306,0.0002506404],"domain_scores_gemma":[0.9995608,0.000025323687,0.000021720562,0.00013564409,0.00015151981,0.000105039195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010261678,0.00016180424,0.00018840852,0.0000631797,0.000036398447,0.00003802201,0.00006177848,0.00005984591,0.000030208981],"category_scores_gemma":[0.0000135005985,0.00011165407,0.000026913063,0.00007261704,0.000034273133,0.00020557035,0.000009532029,0.00004814162,0.000017320928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004194132,0.000009373661,0.00006366906,0.000053504453,0.000068093796,0.000004061258,0.0013256558,0.9837465,0.010233253,0.0008134652,0.0025341038,0.001106335],"study_design_scores_gemma":[0.0031847614,0.00010838071,0.0000018629223,0.00006166498,0.000025813948,0.00002563945,0.0007255402,0.7730144,0.21464211,0.0003377315,0.0074397437,0.00043231182],"about_ca_topic_score_codex":0.0000059977065,"about_ca_topic_score_gemma":0.000023836239,"teacher_disagreement_score":0.67375076,"about_ca_system_score_codex":0.00007999364,"about_ca_system_score_gemma":0.000008593967,"threshold_uncertainty_score":0.4553121},"labels":[],"label_agreement":null},{"id":"W2185653655","doi":"10.22215/etd/2013-06483","title":"LTE traffic generation and evolved packet core (EPC) network planning","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Core (optical fiber); Network packet; Computer science; Computer network; Telecommunications","score_opus":0.020922543228054095,"score_gpt":0.2432785716756959,"score_spread":0.2223560284476418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185653655","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":[0.65415496,0.01119697,0.3074082,0.000007050315,0.006001432,0.0020336946,0.000020775737,0.0022204698,0.016956417],"genre_scores_gemma":[0.93406785,0.0006155338,0.032804426,0.000030836945,0.0021447954,0.00029747692,0.010173277,0.00034022698,0.019525582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989871,0.0000143579255,0.0003512944,0.00026965322,0.000115799405,0.00026179734],"domain_scores_gemma":[0.99952495,0.000026235612,0.00009909772,0.00018684177,0.00008714126,0.00007573329],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006697248,0.00031795935,0.00030811928,0.000096675096,0.000092779526,0.00008454235,0.00006951719,0.00035769548,0.00010437915],"category_scores_gemma":[0.000014887416,0.00032877212,0.000037797286,0.00013928943,0.0000076122865,0.00024993447,0.0000057187385,0.00021201443,0.000037273992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004322756,0.0000025828786,0.000026765516,0.00016525605,0.00003922561,0.0000015653576,0.00051450083,0.9805658,0.0009703595,0.000090118585,0.013391918,0.0042276215],"study_design_scores_gemma":[0.00020317496,0.000017937755,0.0003084099,0.00021317755,0.000037166003,0.0000033528902,0.0002799413,0.99776804,0.00024554145,0.000025118603,0.00049781945,0.0004002902],"about_ca_topic_score_codex":0.000006873185,"about_ca_topic_score_gemma":0.000116824165,"teacher_disagreement_score":0.2799129,"about_ca_system_score_codex":0.000067915025,"about_ca_system_score_gemma":0.000015657879,"threshold_uncertainty_score":0.99991643},"labels":[],"label_agreement":null},{"id":"W2186519857","doi":"10.1109/tbc.2015.2492458","title":"Wireless Resource Virtualization With Device-to-Device Communication Underlaying LTE Network","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Broadcasting","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Virtualization; Computer network; Heuristic; Wireless; Underlay; Wireless network; Interference (communication); Integer programming; Cellular network; Distributed computing; Signal-to-noise ratio (imaging); Algorithm; Telecommunications; Channel (broadcasting); Cloud computing","score_opus":0.034567013463635526,"score_gpt":0.25067320287253064,"score_spread":0.21610618940889512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186519857","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":[0.018350363,0.0001280119,0.9766557,0.00005270717,0.0002586339,0.00044179978,0.0000053907697,0.0008952041,0.0032121865],"genre_scores_gemma":[0.9692497,0.000016760008,0.030094715,0.0001290811,0.000102055914,0.00009147697,0.000017476821,0.00012554592,0.00017315208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858296,0.000117057745,0.00039756933,0.00027711096,0.00026205755,0.0003632397],"domain_scores_gemma":[0.99885195,0.0001835036,0.00010056778,0.00048151487,0.000180592,0.00020185635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031742168,0.00026188593,0.00023645662,0.00017737725,0.00033461343,0.0000867082,0.00020691472,0.00011174163,0.000007709213],"category_scores_gemma":[0.000013936876,0.0002835821,0.000036074754,0.0010146577,0.000028573835,0.00042666803,0.000002822671,0.00030733642,0.000056662266],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038654533,0.00001929956,0.000032298318,0.000039259714,0.000032612228,0.0000016032268,0.0011576187,0.982352,0.00051108096,0.000038996663,0.00015319916,0.015623342],"study_design_scores_gemma":[0.0008497775,0.00012435963,0.000019304696,0.0008089049,0.00006358175,0.000036296682,0.001692922,0.989705,0.003700379,0.000028357987,0.002438128,0.00053298095],"about_ca_topic_score_codex":0.00004151655,"about_ca_topic_score_gemma":0.00018825229,"teacher_disagreement_score":0.95089936,"about_ca_system_score_codex":0.00033153928,"about_ca_system_score_gemma":0.000036409714,"threshold_uncertainty_score":0.9999616},"labels":[],"label_agreement":null},{"id":"W2186667778","doi":"10.1109/pimrc.2015.7343374","title":"Dummy users; Network-aware cooperative terminals in wireless access networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Computer network; Hotspot (geology); Scalability; Terminal (telecommunication); Wireless network; Leverage (statistics); Cellular network; Software deployment; Virtualization; Wireless; Computer security; Telecommunications; Cloud computing; Database; Operating system","score_opus":0.02788628480799855,"score_gpt":0.273855172283599,"score_spread":0.24596888747560047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2186667778","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":[0.015249967,0.00024497038,0.9713269,0.00002707365,0.00065369264,0.000412332,0.0000023501643,0.00042205045,0.011660648],"genre_scores_gemma":[0.99726087,0.00005553857,0.0014216583,0.000071576644,0.00026802553,0.00006360678,0.000027331453,0.00005240143,0.00077898515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903286,0.000044639906,0.00029681332,0.00018771416,0.00009421859,0.0003437424],"domain_scores_gemma":[0.99949294,0.000045349825,0.00003531011,0.00020647435,0.000100800644,0.000119107935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016737523,0.00018311026,0.00025199394,0.000066746106,0.000022177419,0.00007742721,0.0002048564,0.00011984062,0.000031659692],"category_scores_gemma":[0.000015063758,0.00017651595,0.000021276446,0.00047091895,0.000019200235,0.00067332375,0.00006239021,0.00016401602,0.00002270196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007740112,0.000007009808,0.004610851,0.00001233364,0.000009349355,0.000013064946,0.00012548742,0.98600006,0.0000074255736,0.00017373111,0.008137762,0.0008951741],"study_design_scores_gemma":[0.00048342714,0.000016494067,0.00023666881,0.00008074293,0.0000041380404,0.0000059619497,0.00017628819,0.99804336,0.00013620827,0.00003605324,0.0005386449,0.00024200609],"about_ca_topic_score_codex":0.000046228004,"about_ca_topic_score_gemma":0.00049389986,"teacher_disagreement_score":0.9820109,"about_ca_system_score_codex":0.00015007278,"about_ca_system_score_gemma":0.000022716033,"threshold_uncertainty_score":0.7198112},"labels":[],"label_agreement":null},{"id":"W2187985266","doi":"","title":"Green Communications: Energy-Efficient Radio Resource Management","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Efficient energy use; Computer science; Greenhouse gas; Base station; Interference (communication); Energy (signal processing); Resource allocation; Computer network; Channel (broadcasting); Engineering; Mathematics; Electrical engineering; Statistics","score_opus":0.008867435754607328,"score_gpt":0.19922724460413707,"score_spread":0.19035980884952974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2187985266","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":[0.00018579984,0.0005230496,0.76303685,0.00013805226,0.000051178384,0.00021409463,7.3125204e-7,0.00052966346,0.23532057],"genre_scores_gemma":[0.8726529,0.00022302134,0.10942116,0.00013916101,0.000046814752,0.00033572534,0.00003783064,0.000059480193,0.017083904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951667,0.000017724187,0.00016739035,0.00009139816,0.00007078418,0.0001360099],"domain_scores_gemma":[0.9992016,0.000020889885,0.000017596889,0.0006928952,0.000023660394,0.000043333304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004418511,0.00008524765,0.00007517614,0.00007089808,0.000049892973,0.000022450704,0.00026148712,0.000029911429,0.000108833614],"category_scores_gemma":[0.0000013862336,0.00008309659,0.000020731004,0.00015199014,0.000018385626,0.00007644568,0.00008180255,0.00004227546,0.00020577863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.4284735e-7,0.000018121278,0.000015566055,0.000033080596,0.000031752552,5.541806e-7,0.00011109512,0.93439853,0.00015182867,0.022945186,0.010497955,0.031795867],"study_design_scores_gemma":[0.00013773033,0.0000037465304,0.00005830467,0.000017796396,0.0000054880447,0.0000021738224,0.00023132518,0.92271197,0.0001718753,0.00017443782,0.07636185,0.00012330832],"about_ca_topic_score_codex":0.000091246664,"about_ca_topic_score_gemma":0.000012279001,"teacher_disagreement_score":0.8724671,"about_ca_system_score_codex":0.000073575815,"about_ca_system_score_gemma":0.000001113536,"threshold_uncertainty_score":0.33885804},"labels":[],"label_agreement":null},{"id":"W2189309723","doi":"10.1109/wcsp.2015.7341067","title":"Generalized water-filling for sum power minimization with peak power constraints","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Constraint (computer-aided design); Mathematical optimization; Minification; Computer science; Cognitive radio; Power (physics); Wireless; Resource allocation; Function (biology); Algorithm; Mathematics; Telecommunications","score_opus":0.015771344572565835,"score_gpt":0.22617278707779667,"score_spread":0.21040144250523085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2189309723","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":[0.019167546,0.000045045424,0.9694997,0.000041420437,0.00039666254,0.00047808132,0.000010828584,0.00043755549,0.009923141],"genre_scores_gemma":[0.86386824,0.000003079971,0.13491215,0.000039578597,0.000042182928,0.00005390196,0.00010472558,0.00006635994,0.00090975704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992316,0.000012312701,0.00022339694,0.00016699385,0.00010465403,0.00026106613],"domain_scores_gemma":[0.99948573,0.000017758588,0.00002655494,0.00016509087,0.00020130232,0.00010355479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010701463,0.0001587695,0.00017052425,0.00007001275,0.000034886525,0.000035496178,0.000066552646,0.00007540562,0.00013172012],"category_scores_gemma":[0.000023577435,0.0001149759,0.000027683622,0.00007700003,0.000029845289,0.00024532032,0.000009899781,0.00004137981,0.000026935046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036451085,0.000011442473,0.0000836559,0.000024573608,0.000036982896,0.000001827558,0.0007761638,0.9906307,0.005255668,0.0011271475,0.0018995468,0.0001158761],"study_design_scores_gemma":[0.008981158,0.00038846926,0.000035784247,0.00012645504,0.0000695569,0.00007429407,0.0024562085,0.85497326,0.101733394,0.0004716673,0.029282967,0.0014068143],"about_ca_topic_score_codex":0.0000035821406,"about_ca_topic_score_gemma":0.000008059163,"teacher_disagreement_score":0.8447007,"about_ca_system_score_codex":0.0000749485,"about_ca_system_score_gemma":0.00001719324,"threshold_uncertainty_score":0.4688581},"labels":[],"label_agreement":null},{"id":"W2192939298","doi":"10.1109/twc.2015.2459714","title":"Solving a Class of Sum Power Minimization Problems by Generalized Water-Filling","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Constraint (computer-aided design); Computer science; Minification; Resource allocation; Power (physics); Algorithm; Wireless; Class (philosophy); Geometric programming; Mathematics; Artificial intelligence","score_opus":0.026309773766730774,"score_gpt":0.24481659353144636,"score_spread":0.2185068197647156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2192939298","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":[0.0163106,0.00035196522,0.98061866,0.00017426396,0.00036123037,0.00044142382,0.000076331504,0.0004392151,0.0012263046],"genre_scores_gemma":[0.98105675,0.0005193518,0.01778005,0.00001920831,0.0000097912025,0.00020896278,0.00011315311,0.00008222652,0.0002104992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986733,0.00012076885,0.0005759644,0.0001820872,0.00018869522,0.000259184],"domain_scores_gemma":[0.99828595,0.00009020339,0.00009268401,0.0011526465,0.00026007314,0.00011844072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018051881,0.00021330891,0.00027963266,0.0002049979,0.00019477583,0.000034140856,0.00048155405,0.00014527781,0.00002460797],"category_scores_gemma":[0.0000056884464,0.00021287601,0.00008229095,0.00035179834,0.000095114534,0.00036075318,0.0000055280752,0.00026188255,0.00002468407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008668636,0.0001325099,0.000007532604,0.00003815672,0.000055612774,1.1545956e-7,0.001657753,0.94195414,0.054759566,0.00012557542,0.00035418067,0.00090622256],"study_design_scores_gemma":[0.00092671264,0.000055785764,0.0000013292371,0.00013746956,0.00004762749,0.0000050064955,0.0004152606,0.84310997,0.15217322,0.000075983044,0.0027177501,0.0003339095],"about_ca_topic_score_codex":0.000054841043,"about_ca_topic_score_gemma":0.000095124466,"teacher_disagreement_score":0.9647462,"about_ca_system_score_codex":0.00018555002,"about_ca_system_score_gemma":0.00003137337,"threshold_uncertainty_score":0.8680832},"labels":[],"label_agreement":null},{"id":"W2197615926","doi":"10.1109/glocom.2014.7417271","title":"Pilot Contamination Mitigation for Wideband Massive MMO: Number of Cells vs Multipath","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Institut National de la Recherche Scientifique","funders":"","keywords":"Wideband; Beamforming; Multipath propagation; Computer science; Bandwidth (computing); Channel (broadcasting); Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.02724949388973499,"score_gpt":0.2935808569011098,"score_spread":0.26633136301137483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2197615926","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":[0.012497221,0.00012908386,0.9740676,0.00023758282,0.00064593164,0.0009971479,0.00027533545,0.00025935227,0.010890738],"genre_scores_gemma":[0.9441223,0.00017644082,0.054989,0.000034787216,0.00004476249,0.00022679409,0.00025351642,0.000031196247,0.00012116843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854183,0.00016192983,0.0006154756,0.0002318665,0.00017306919,0.00027583932],"domain_scores_gemma":[0.99718994,0.00033048601,0.00029500312,0.0012434402,0.0008365255,0.00010460244],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031119087,0.00025038063,0.0003652906,0.000058176036,0.00015720607,0.00005490739,0.0007312339,0.00011646285,0.000027686721],"category_scores_gemma":[0.0001782239,0.0002855675,0.00007854576,0.00026348434,0.00015604234,0.00042832413,0.00007411603,0.00014115045,0.000062635605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000410472,0.0013879105,0.020093221,0.0017079711,0.00064405834,0.0000011348998,0.0024978481,0.432826,0.12366833,0.3191037,0.044307653,0.05335167],"study_design_scores_gemma":[0.0023021412,0.00018550028,0.0013684549,0.00030235611,0.00009722218,0.000005383554,0.00027906612,0.9657253,0.016962655,0.0045683584,0.0075917514,0.0006117941],"about_ca_topic_score_codex":0.00011862295,"about_ca_topic_score_gemma":0.00049141305,"teacher_disagreement_score":0.9316251,"about_ca_system_score_codex":0.00026677412,"about_ca_system_score_gemma":0.000065722714,"threshold_uncertainty_score":0.99995965},"labels":[],"label_agreement":null},{"id":"W2200746630","doi":"10.1109/lwc.2016.2516543","title":"Saddle Point Approximation for Outage Probability Using Cumulant Generating Functions","year":2016,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Saddle point; Cumulant; Fading; Rician fading; Point (geometry); Saddle; Channel (broadcasting); Wireless","score_opus":0.047892405076065805,"score_gpt":0.26271357660116534,"score_spread":0.21482117152509955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2200746630","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":[0.15363492,0.00006276956,0.843917,0.0007665817,0.00030026614,0.0007771009,0.00006978104,0.00040813364,0.0000634252],"genre_scores_gemma":[0.7539944,0.00002758447,0.24521543,0.00008365462,0.00009628084,0.00043230003,0.00006427987,0.000056361223,0.000029726463],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888146,0.000091503054,0.0004582148,0.00021474554,0.000095124204,0.00025897092],"domain_scores_gemma":[0.9981286,0.00024146875,0.00012089021,0.0013369865,0.00011730187,0.000054749307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002623171,0.00018122155,0.00019379318,0.00011188945,0.0003553532,0.00004616563,0.00037866147,0.000073594885,0.000005246885],"category_scores_gemma":[0.00005267961,0.00016179291,0.00008118092,0.00019349942,0.00009667069,0.00048996386,0.00005104889,0.000105704654,0.000014053362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033318056,0.000024879771,0.00010495519,0.000052882726,0.000026615293,1.0038064e-7,0.00021250281,0.48512244,0.50925654,0.00036986545,0.00028102053,0.004544871],"study_design_scores_gemma":[0.0004529868,0.000008777431,0.000017112205,0.000120996585,0.000026136902,0.0000069351304,0.00007726553,0.9875472,0.010667717,0.00011687166,0.0006954183,0.00026257476],"about_ca_topic_score_codex":0.000016074799,"about_ca_topic_score_gemma":0.000044265882,"teacher_disagreement_score":0.6003595,"about_ca_system_score_codex":0.00040072607,"about_ca_system_score_gemma":0.000019400244,"threshold_uncertainty_score":0.65977234},"labels":[],"label_agreement":null},{"id":"W2204586746","doi":"10.1186/s13638-015-0457-4","title":"New rank detection methods for reduced-rank MIMO systems","year":2015,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rank (graph theory); MIMO; Channel (broadcasting); Computer science; Algorithm; Noise (video); Mathematics; Artificial intelligence; Telecommunications","score_opus":0.06173577006349572,"score_gpt":0.332488136695263,"score_spread":0.27075236663176727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2204586746","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":[0.0016240481,0.021644471,0.97304726,0.00013655178,0.0019653782,0.0003589154,0.0000015193958,0.00017348127,0.0010483708],"genre_scores_gemma":[0.8570882,0.0065449825,0.13519299,0.000020996318,0.00092146057,0.0000493843,0.000009048883,0.00007262791,0.000100299214],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870604,0.00030551612,0.00049614004,0.00013694043,0.00010160499,0.00025373738],"domain_scores_gemma":[0.99837947,0.00044464425,0.00020452564,0.00056589174,0.00016696574,0.00023853192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001079095,0.00018758836,0.00028282107,0.00015514875,0.00041682826,0.00019632887,0.00034938898,0.000106050706,9.696188e-7],"category_scores_gemma":[0.000038467835,0.00018512907,0.00006580238,0.00027806696,0.000027982405,0.00026359595,0.00005140489,0.0004114969,0.00000251985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042248772,0.000014786947,0.000039014438,0.00003332672,0.0000805428,7.907435e-7,0.0005229916,0.30356723,0.002911451,0.00063511834,0.00072046305,0.69143206],"study_design_scores_gemma":[0.00090611266,0.00010092025,0.000013896918,0.00035547052,0.000042765634,0.00018759852,0.00025592808,0.89328015,0.00044611006,0.00041388924,0.10374684,0.0002503297],"about_ca_topic_score_codex":0.000010671193,"about_ca_topic_score_gemma":0.000011242006,"teacher_disagreement_score":0.85546416,"about_ca_system_score_codex":0.00017519467,"about_ca_system_score_gemma":0.000036473943,"threshold_uncertainty_score":0.7549345},"labels":[],"label_agreement":null},{"id":"W2206690184","doi":"10.1109/eusipco.2015.7362826","title":"Performance comparison of data-sharing and compression strategies for cloud radio access networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Computer science; Quantization (signal processing); Telecommunications link; Cloud computing; Computer network; Data compression; Wireless; Real-time computing; Telecommunications; Algorithm","score_opus":0.12280119042874017,"score_gpt":0.3509876006646808,"score_spread":0.22818641023594066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206690184","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":[0.097289786,0.0006696981,0.899974,0.0000024785102,0.00026841753,0.00021839354,0.00000573704,0.00012950574,0.001441984],"genre_scores_gemma":[0.98190874,0.000050017577,0.017808845,0.0000017777751,0.000099039455,0.000010847706,0.00007823245,0.00001896946,0.000023552277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994469,0.000005197103,0.00022768689,0.00014561495,0.00005666664,0.000117912095],"domain_scores_gemma":[0.9995315,0.000028457609,0.000052004823,0.0002900701,0.000050301427,0.000047660098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013370371,0.0000872498,0.00018531777,0.000031179516,0.000028812203,0.00005291825,0.00028794515,0.00004801682,0.0000023098448],"category_scores_gemma":[0.0000071536547,0.000079145204,0.000007151494,0.000067852685,0.000017293642,0.0011668374,0.00014281468,0.000054757067,3.4256755e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014394412,0.0000049617943,0.0062882197,0.00014718312,0.000009122815,3.7455845e-8,0.00016394112,0.9883098,0.00006137285,0.00019677001,0.0015810336,0.0032231745],"study_design_scores_gemma":[0.00039504294,0.000022387932,0.00016327784,0.00006398097,0.000008310275,0.0000010485646,0.00044190104,0.99807197,0.00037373087,0.000045346344,0.0003208385,0.000092153154],"about_ca_topic_score_codex":0.000011285159,"about_ca_topic_score_gemma":0.000014340255,"teacher_disagreement_score":0.88461894,"about_ca_system_score_codex":0.000017493721,"about_ca_system_score_gemma":0.0000086281025,"threshold_uncertainty_score":0.32274476},"labels":[],"label_agreement":null},{"id":"W2206779880","doi":"","title":"Robust Channel Estimation and Scheduling for Heterogeneous Multiuser Massive MIMO Systems","year":2014,"lang":"en","type":"article","venue":"European Wireless Conference","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; MIMO; Channel state information; Computer science; Scheduling (production processes); Base station; Channel (broadcasting); Mathematical optimization; Algorithm; Control theory (sociology); Mathematics; Telecommunications; Wireless","score_opus":0.026591641452282416,"score_gpt":0.2136190175565897,"score_spread":0.1870273761043073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206779880","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":[0.044332743,0.00017132977,0.95339566,0.000012465124,0.0004191943,0.00043381786,0.000015174706,0.0003643089,0.00085530215],"genre_scores_gemma":[0.97891533,0.000038101854,0.02064454,0.000010496159,0.00013857707,0.00004311458,0.000037168367,0.00008715255,0.00008549109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906814,0.000083701845,0.00027596985,0.00026389837,0.00007698176,0.00023128877],"domain_scores_gemma":[0.9994038,0.00007805442,0.00008810395,0.000212479,0.00013090976,0.00008668335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019859323,0.0001979044,0.00021059094,0.00006651947,0.00009526723,0.00011750868,0.00012434887,0.00004781429,0.0000020029554],"category_scores_gemma":[0.00007088718,0.00020901267,0.000025699364,0.0000602374,0.000030684812,0.00018940658,0.000032375385,0.00008557124,0.00002604913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048208653,0.000004497984,0.000013568456,0.00023575903,0.000014105657,0.0000020678797,0.00026064028,0.9902522,0.0021604698,0.00088226824,0.00001602312,0.0061535537],"study_design_scores_gemma":[0.0004248653,0.00003101787,0.000033926804,0.00022544526,0.000011761173,0.000010544874,0.00007857551,0.99761164,0.0011468066,0.000022059963,0.00016567043,0.00023769577],"about_ca_topic_score_codex":0.000004205356,"about_ca_topic_score_gemma":0.0000036751385,"teacher_disagreement_score":0.9345826,"about_ca_system_score_codex":0.000032866734,"about_ca_system_score_gemma":0.0000062373997,"threshold_uncertainty_score":0.8523289},"labels":[],"label_agreement":null},{"id":"W2209642983","doi":"10.1109/tit.2015.2502244","title":"Optimum Transmission Through the Multiple-Antenna Gaussian Multiple Access Channel","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Research Executive Agency; Ministero dello Sviluppo Economico; European Commission","keywords":"Decoding methods; Transmission (telecommunications); Gaussian; Channel (broadcasting); Convergence (economics); Interference (communication); Range (aeronautics); Covariance matrix; Covariance; Rate of convergence","score_opus":0.023492707347087985,"score_gpt":0.2501169766940112,"score_spread":0.2266242693469232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2209642983","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":[0.00032316742,0.00007379097,0.9918856,0.00014993428,0.0013503586,0.00070014514,0.000058502377,0.000745026,0.0047134496],"genre_scores_gemma":[0.9960733,0.000101213445,0.0030240768,0.0002376133,0.00005952942,0.00022252323,0.00003538976,0.000046038404,0.00020033283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986571,0.00009399037,0.00054040854,0.00013147343,0.0002730221,0.00030398104],"domain_scores_gemma":[0.99899596,0.0002168859,0.000104214305,0.00040200647,0.00014627517,0.00013468774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035166554,0.00027121045,0.00019470815,0.00018545667,0.00028581085,0.00013594652,0.00035593892,0.00015649869,0.00005565175],"category_scores_gemma":[0.000025884545,0.00020781583,0.000109188644,0.0004123707,0.00006984766,0.0039181607,0.000001972694,0.00033750603,0.00023544101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012136087,0.000025797133,0.000001101973,0.000051625826,0.00003765605,4.3916202e-7,0.0063121957,0.9803879,0.000112639085,0.00025282035,0.0003121466,0.012384307],"study_design_scores_gemma":[0.0016583429,0.00005781867,0.000010295255,0.0000960964,0.000035318753,0.00002132885,0.003234969,0.9740032,0.012280441,0.0014128713,0.0068247532,0.00036454436],"about_ca_topic_score_codex":0.000020363126,"about_ca_topic_score_gemma":0.000008849146,"teacher_disagreement_score":0.9957501,"about_ca_system_score_codex":0.00016563585,"about_ca_system_score_gemma":0.000036812242,"threshold_uncertainty_score":0.8474484},"labels":[],"label_agreement":null},{"id":"W2212316163","doi":"10.1109/itwf.2015.7360770","title":"The ergodic high SNR capacity of the spatially-correlated non-coherent MIMO channel within an SNR-independent gap","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Upper and lower bounds; Ergodic theory; Mathematics; MIMO; Logarithm; Eigenvalues and eigenvectors; Channel capacity; Transmitter; Ergodicity; Matrix (chemical analysis); Inverse; Signal-to-noise ratio (imaging); Topology (electrical circuits); Spatial correlation; Covariance matrix; Random matrix; Applied mathematics; Mathematical analysis; Channel (broadcasting); Combinatorics; Telecommunications; Physics; Algorithm; Statistics; Beamforming; Computer science; Quantum mechanics; Geometry","score_opus":0.02397944405021005,"score_gpt":0.21492577505232643,"score_spread":0.1909463310021164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2212316163","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":[0.49048978,0.0001672187,0.4961081,0.00013691038,0.0045374185,0.0013650908,0.000019513769,0.00044148005,0.0067344527],"genre_scores_gemma":[0.99751854,0.000009930532,0.0014178805,0.000020645122,0.000098154575,0.00004337304,0.000009665512,0.0000517662,0.0008300411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861866,0.00008809509,0.00046751258,0.00020442718,0.00034512678,0.00027620516],"domain_scores_gemma":[0.99884397,0.000046779525,0.00014894636,0.0006366886,0.00018755371,0.0001360823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003991827,0.00022121465,0.00022841842,0.00004252362,0.000111869624,0.000034822857,0.00039144384,0.00015107151,0.000024468336],"category_scores_gemma":[0.00007135543,0.00013083572,0.00006038382,0.00023420298,0.00006853098,0.00020886074,0.000068098336,0.0002680629,0.000030075053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017289618,0.00003141907,0.00024794473,0.000024278095,0.000042994845,9.756184e-7,0.0016049882,0.9945454,0.0022292985,0.00065605104,0.00042293433,0.00017641456],"study_design_scores_gemma":[0.0011998226,0.00011688015,0.0014761228,0.00009746731,0.000042766434,0.0000151020195,0.00081068685,0.951147,0.04335822,0.0012424805,0.00012912514,0.00036432288],"about_ca_topic_score_codex":0.00092342205,"about_ca_topic_score_gemma":0.0030303206,"teacher_disagreement_score":0.50702876,"about_ca_system_score_codex":0.00017979808,"about_ca_system_score_gemma":0.000051037063,"threshold_uncertainty_score":0.53353256},"labels":[],"label_agreement":null},{"id":"W2214742514","doi":"10.1109/tcomm.2015.2495286","title":"Distributed Collaborative Beamforming Design for Maximized Throughput in Interfered and Scattered Environments","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Overhead (engineering); Computer science; Channel (broadcasting); Topology (electrical circuits); Throughput; Wireless; Wireless network; Algorithm; Electronic engineering; Computer engineering; Mathematics; Computer network; Telecommunications; Engineering; Combinatorics","score_opus":0.0562185055676709,"score_gpt":0.2757258060062247,"score_spread":0.21950730043855382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2214742514","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":[0.0006161427,0.00022240961,0.99736106,0.00023495816,0.00013294132,0.00095079973,0.00023579861,0.000117794625,0.0001280645],"genre_scores_gemma":[0.8553239,0.00026278614,0.14348918,0.00001460929,0.0000052485807,0.00073988934,0.000081056576,0.000033601493,0.00004973364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924135,0.00009323579,0.00029952495,0.00014250398,0.0000636589,0.0001597051],"domain_scores_gemma":[0.9990153,0.00022096951,0.00004736366,0.00059970847,0.00004394241,0.00007274256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016443337,0.00014648742,0.00018740156,0.0001269231,0.000133902,0.00002863783,0.00022918833,0.00007695005,0.000002905938],"category_scores_gemma":[0.000014867465,0.00016698145,0.000026541342,0.0002769062,0.00007410457,0.00029687438,0.0000037607226,0.00015643459,0.0000070959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006777009,0.000092119946,0.000005469571,0.000012107613,0.000042746735,1.6609712e-7,0.0015463972,0.99385107,0.0015973314,0.000041110907,0.00011008044,0.0026336347],"study_design_scores_gemma":[0.00360327,0.00012615861,0.000021730066,0.00011043922,0.000049425882,0.0000056139042,0.0020382234,0.97677886,0.014097091,0.00067061355,0.002162451,0.00033613452],"about_ca_topic_score_codex":0.000009990991,"about_ca_topic_score_gemma":0.00009653823,"teacher_disagreement_score":0.8547078,"about_ca_system_score_codex":0.00027710473,"about_ca_system_score_gemma":0.00002587325,"threshold_uncertainty_score":0.68093055},"labels":[],"label_agreement":null},{"id":"W2225779910","doi":"10.1109/wcnc.2015.7127589","title":"Extended shadow fading model for irregular cellular networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Shadow mapping; Computer science; Fading; Cellular network; Computation; Gaussian; Log-distance path loss model; Algorithm; Cellular radio; Base station; Log-normal distribution; Shadow (psychology); Channel (broadcasting); Reduction (mathematics); Power (physics); Topology (electrical circuits); Telecommunications; Mathematics; Artificial intelligence; Decoding methods; Physics","score_opus":0.025537708465986294,"score_gpt":0.2287846231502754,"score_spread":0.2032469146842891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2225779910","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":[0.00024220406,0.0004362278,0.9930673,0.000010069313,0.00032638208,0.0003319771,0.0000023980135,0.0005663704,0.0050170687],"genre_scores_gemma":[0.84177995,0.000006799221,0.15597236,0.000018565192,0.00013429085,0.000065656764,0.0000270047,0.00005892439,0.0019364734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993664,0.0000056469025,0.00017737306,0.00014167915,0.00007005115,0.00023885362],"domain_scores_gemma":[0.999592,0.000015941108,0.000020645155,0.00019567364,0.000071074974,0.00010466985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012645646,0.00012514052,0.00013978782,0.000045646528,0.00002976131,0.000021828202,0.00009011318,0.00008707742,0.0000059347403],"category_scores_gemma":[0.000018856055,0.00012766862,0.00004067342,0.00008947975,0.000007843798,0.00020673929,0.000015208623,0.000054516495,0.000008863117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003685614,0.000003832286,0.0000037514217,0.000018384735,0.000010222232,5.647623e-7,0.0001069307,0.99346906,0.0007766959,0.0025628365,0.002263865,0.0007801863],"study_design_scores_gemma":[0.0003747452,0.000009419876,4.2786334e-7,0.000011746906,0.0000087897515,0.0000014646072,0.0000625208,0.99586356,0.0013377247,0.0018105255,0.00035632504,0.00016273843],"about_ca_topic_score_codex":0.0000021345297,"about_ca_topic_score_gemma":0.0000046372656,"teacher_disagreement_score":0.8415377,"about_ca_system_score_codex":0.00009070531,"about_ca_system_score_gemma":0.000009822947,"threshold_uncertainty_score":0.52061754},"labels":[],"label_agreement":null},{"id":"W2226827734","doi":"10.1109/jsac.2016.2544459","title":"Energy Efficiency of Downlink Transmission Strategies for Cloud Radio Access Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":249,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Telecommunications link; Backhaul (telecommunications); C-RAN; Transmitter power output; Base station; Radio access network; Efficient energy use; Computer network; Beamforming; Transmission (telecommunications); User equipment; Energy consumption; Optimization problem; Cellular network; Data transmission; Power optimization; Power (physics); Transmitter; Telecommunications; Algorithm; Mobile station; Power consumption; Electrical engineering","score_opus":0.023397208338869904,"score_gpt":0.2865503854197243,"score_spread":0.2631531770808544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2226827734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039117597,0.0012477279,0.993327,0.0002093312,0.0002974562,0.00017996175,0.00001086007,0.00009435333,0.00072153535],"genre_scores_gemma":[0.98714423,0.004836354,0.007763242,0.000012872764,0.00012247168,0.00004589795,0.000011487502,0.000036154597,0.000027271757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885666,0.00012982609,0.00057287206,0.000102490165,0.00010959348,0.00022858346],"domain_scores_gemma":[0.9983166,0.00059463485,0.00017316484,0.0005477438,0.00029302796,0.00007482542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002152963,0.0001451125,0.00022910231,0.00024919267,0.0001427784,0.000047729867,0.0008377151,0.00011556388,0.000009575003],"category_scores_gemma":[0.000044020708,0.00011104612,0.000063835076,0.0006062401,0.000054874006,0.0003969781,0.000017833574,0.00024554896,5.6788014e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045589702,0.00010570298,0.000078912344,0.000018829855,0.000034139262,6.6245326e-7,0.00015903162,0.9625409,0.011058093,0.0026252698,0.00057503325,0.022757787],"study_design_scores_gemma":[0.002463264,0.00023347301,0.00034267033,0.0014112452,0.000041358995,0.000078396886,0.00010603749,0.9719504,0.01127042,0.004368206,0.0072703,0.0004642347],"about_ca_topic_score_codex":0.0000061057194,"about_ca_topic_score_gemma":0.0000495986,"teacher_disagreement_score":0.98556376,"about_ca_system_score_codex":0.00017289323,"about_ca_system_score_gemma":0.000097713506,"threshold_uncertainty_score":0.45283297},"labels":[],"label_agreement":null},{"id":"W2240342643","doi":"","title":"Opportunistic CoMP for 5G massive MIMO Multilayer Networks","year":2015,"lang":"en","type":"article","venue":"International ITG Workshop on Smart Antennas","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Macro; Computer science; MIMO; Spectral efficiency; Small cell; Booster (rocketry); Radio spectrum; Radio frequency; Base station; Computer network; Electronic engineering; Telecommunications; Engineering; Channel (broadcasting)","score_opus":0.052117152210619584,"score_gpt":0.2906109715647144,"score_spread":0.2384938193540948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240342643","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":[0.00100609,0.00017693818,0.978147,0.0005659293,0.0061232913,0.0005343058,0.000054077747,0.00041679942,0.012975624],"genre_scores_gemma":[0.9880455,0.00006710448,0.0061586853,0.00031811977,0.0008972558,0.00017455973,0.00037481633,0.00010069465,0.0038632357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986715,0.000021147775,0.00042047328,0.0002998019,0.0002613835,0.00032570967],"domain_scores_gemma":[0.9987641,0.0002507643,0.0001031259,0.000256816,0.00042307161,0.00020212417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018924336,0.00026311577,0.000252465,0.00016942447,0.000056881992,0.00008422018,0.00031363612,0.00014822034,0.000052805295],"category_scores_gemma":[0.0002425778,0.00026939044,0.000108669534,0.00014555472,0.000042094707,0.0002447405,0.000027635986,0.00020676131,0.000096218166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120571945,0.000047545018,0.00034899803,0.000013260749,0.000115162424,0.000022250973,0.000121873665,0.97471356,0.00016158374,0.002309467,0.0194001,0.0026256416],"study_design_scores_gemma":[0.0010046434,0.00003546442,0.00009552903,0.00018194792,0.000014761573,0.000012384212,0.00019413221,0.96193093,0.000104515486,0.00026706894,0.03585872,0.00029988118],"about_ca_topic_score_codex":0.000006929163,"about_ca_topic_score_gemma":0.00002588866,"teacher_disagreement_score":0.98703945,"about_ca_system_score_codex":0.00025947046,"about_ca_system_score_gemma":0.000026680082,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W2240812019","doi":"10.1109/mass.2015.25","title":"Device-to-Device Load Balancing for Cellular Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China","keywords":"Computer science; Asynchronous communication; Load balancing (electrical power); Base station; Overhead (engineering); Small cell; Computer network; Cellular network; Interference (communication); Spectral efficiency; Distributed computing; Channel (broadcasting)","score_opus":0.01824008966699517,"score_gpt":0.23512581868023322,"score_spread":0.21688572901323805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240812019","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":[0.0014449136,0.0004927252,0.9857642,0.000027390177,0.00062851416,0.0004600448,0.0000017124156,0.0005131555,0.010667364],"genre_scores_gemma":[0.8773573,0.0000053064655,0.12028928,0.00017696193,0.0004278471,0.00009895711,0.000018931709,0.00007678535,0.001548611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993003,0.000007789853,0.0001964317,0.00014428646,0.00009347992,0.0002576944],"domain_scores_gemma":[0.9994359,0.000040225248,0.000020233365,0.00018800894,0.00015507173,0.00016056422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018829606,0.0001253566,0.0001478391,0.00003800223,0.00002660207,0.000025337478,0.00009705688,0.000072271,0.000012238731],"category_scores_gemma":[0.000057256555,0.00012744215,0.000028443197,0.00018074129,0.0000034942111,0.0001517147,0.000019654215,0.00005604023,0.00010331397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043574064,0.0000025858415,0.000071924675,0.000033403907,0.0000089715395,7.790859e-7,0.000118605254,0.99124104,0.0008941967,0.00015295952,0.0066373087,0.00083387917],"study_design_scores_gemma":[0.00037355136,0.000018213314,0.000005281811,0.000031280597,0.000008912458,0.0000016448114,0.00012809287,0.96264386,0.0026941062,0.00004326555,0.033861816,0.00018996563],"about_ca_topic_score_codex":0.000017781394,"about_ca_topic_score_gemma":0.000055157107,"teacher_disagreement_score":0.8759124,"about_ca_system_score_codex":0.00020408115,"about_ca_system_score_gemma":0.000020684383,"threshold_uncertainty_score":0.51969403},"labels":[],"label_agreement":null},{"id":"W2240983499","doi":"10.1109/wcnc.2015.7127500","title":"Joint transmit antenna selection and user scheduling for Massive MIMO systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Scheduling (production processes); Computational complexity theory; Multi-user MIMO; 3G MIMO; Selection algorithm; Selection (genetic algorithm); Algorithm; Mathematical optimization; Distributed computing; Computer network; Mathematics; Artificial intelligence","score_opus":0.023675949017964777,"score_gpt":0.22706217996314493,"score_spread":0.20338623094518016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2240983499","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":[0.008906313,0.0005777021,0.9887481,0.000032329055,0.0003837153,0.0005065684,0.0000040551654,0.00036235957,0.0004788765],"genre_scores_gemma":[0.91742045,0.000022996579,0.0819135,0.0000073810825,0.00012576557,0.000089685665,0.0000073169217,0.00004230757,0.00037059805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994422,0.000010488435,0.00019694114,0.00013250971,0.000059759615,0.0001580654],"domain_scores_gemma":[0.9996795,0.000019043187,0.000025895244,0.00006754694,0.00012544109,0.000082551946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001186527,0.000108445434,0.0001506038,0.00006962768,0.000033185373,0.00004042452,0.000026149932,0.00007159635,0.000002257967],"category_scores_gemma":[0.000028203714,0.00010264159,0.000021672338,0.00009947961,0.0000065575455,0.00024176139,0.0000039500674,0.00005150798,0.000005333538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008021692,0.0000041398284,0.000071972856,0.00017115157,0.000025255073,4.1391837e-7,0.00017555314,0.98389345,0.013614334,0.0016009444,0.00021980013,0.00021498268],"study_design_scores_gemma":[0.00043345976,0.00003771619,0.000009891365,0.000053575277,0.000013527749,0.000013651021,0.00059679063,0.9945183,0.003278847,0.00008357889,0.0008202234,0.00014047687],"about_ca_topic_score_codex":0.00001988621,"about_ca_topic_score_gemma":0.000017801742,"teacher_disagreement_score":0.90851414,"about_ca_system_score_codex":0.00008177838,"about_ca_system_score_gemma":0.0000107109745,"threshold_uncertainty_score":0.41856027},"labels":[],"label_agreement":null},{"id":"W2251615878","doi":"10.1007/978-3-319-02469-1_3","title":"Joint Relay Placement and Sub-carrier Allocation in Sustainable Wireless Networks","year":2013,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","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":"University of Waterloo","funders":"","keywords":"Wireless network; Computer science; Exploit; Wireless; Computer network; Radio resource management; Relay; Integer programming; Heuristic; Context (archaeology); Distributed computing; Telecommunications; Algorithm; Computer security; Geography; Artificial intelligence","score_opus":0.008089556012466904,"score_gpt":0.19459906566520252,"score_spread":0.1865095096527356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2251615878","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":[0.0035385273,0.0006986645,0.978849,0.000021884967,0.0008282998,0.00091197935,0.0000010236361,0.00016061513,0.0149900075],"genre_scores_gemma":[0.93254185,0.0015387996,0.04565364,0.0001168741,0.0005404181,0.00018219074,0.000017744695,0.00022907411,0.019179389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795294,0.000012443359,0.00054294145,0.0006377137,0.0002918581,0.0005621005],"domain_scores_gemma":[0.9991174,0.000037090726,0.0001203815,0.00046634203,0.00013876027,0.00012002957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006585023,0.0003394219,0.00037101487,0.00054335676,0.00008329322,0.0001742066,0.00032287693,0.0002160238,0.000016585469],"category_scores_gemma":[0.000012321532,0.00038907042,0.000028083126,0.0002625069,0.00021558786,0.0006175875,0.00033679724,0.00044616658,0.000010362814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021070723,0.000004350449,0.000042461164,0.00012945557,0.0000045709053,0.000021241574,0.00025241697,0.9688512,0.0000706964,0.022347474,0.000052203643,0.008221837],"study_design_scores_gemma":[0.000253226,0.00002646328,0.00031186957,0.00050603115,0.0000034882742,0.000008877538,0.000012764104,0.996676,0.00018986993,0.00048404973,0.001094613,0.00043273077],"about_ca_topic_score_codex":0.00004319409,"about_ca_topic_score_gemma":0.00004674463,"teacher_disagreement_score":0.93319535,"about_ca_system_score_codex":0.0008745095,"about_ca_system_score_gemma":0.00008718515,"threshold_uncertainty_score":0.9998561},"labels":[],"label_agreement":null},{"id":"W2254705619","doi":"10.1017/cbo9781139084284","title":"Green Radio Communication Networks","year":2012,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Standardization; Software deployment; Wireless; Wireless network; Telecommunications; Base station; Efficient energy use; Engineering; Key (lock); Computer science; Radio resource management; Computer network; Electrical engineering; Computer security; Software engineering","score_opus":0.012273517897458815,"score_gpt":0.17768626084897646,"score_spread":0.16541274295151764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2254705619","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000002996967,0.0019951502,0.15195373,0.0000014633873,0.00033933905,0.00040829764,0.00006786127,0.0006201468,0.844611],"genre_scores_gemma":[0.0010033925,0.00047113636,0.00085172907,0.000008679271,0.00030388965,0.0000024533845,0.0004395291,0.00011824973,0.99680096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990744,0.0000646671,0.00020085456,0.0002170936,0.00012179763,0.00032119348],"domain_scores_gemma":[0.9987033,0.00006292604,0.00013742881,0.0008539102,0.000093221955,0.00014923105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008862006,0.00033822833,0.0003602173,0.00013781543,0.00012989888,0.00002386959,0.00054645375,0.0004983857,0.0000022854524],"category_scores_gemma":[0.0000030092551,0.00046058244,0.00011497268,0.0000188293,0.00009409478,0.0002109574,0.0001907016,0.00056082977,0.000016113225],"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":[0.000040766135,0.000014418441,0.0000065353893,0.00062782236,0.0004725307,0.000046311237,0.0002329753,0.16978356,0.000027406248,0.22289395,0.60100085,0.0048528863],"study_design_scores_gemma":[0.00034001065,0.0000073344027,0.000005596456,0.00020221778,0.00016205694,0.00001210946,0.000014614248,0.0365129,0.000029008599,0.0000013708794,0.962226,0.0004868248],"about_ca_topic_score_codex":0.000058552672,"about_ca_topic_score_gemma":0.0000034526297,"teacher_disagreement_score":0.3612251,"about_ca_system_score_codex":0.00074103667,"about_ca_system_score_gemma":0.00004096595,"threshold_uncertainty_score":0.9997846},"labels":[],"label_agreement":null},{"id":"W2255030574","doi":"10.1155/2015/958431","title":"The Resource Mapping Algorithm of Wireless Virtualized Networks for Saving Energy in Ultradense Small Cells","year":2015,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National High-tech Research and Development Program; University of Waterloo","keywords":"Computer science; Wireless network; Wireless; Quality of service; Energy consumption; Computer network; Resource (disambiguation); Distributed computing; Shared resource; Algorithm; Resource allocation; Wireless sensor network; Energy (signal processing); Telecommunications; Electrical engineering","score_opus":0.011394436360804498,"score_gpt":0.19852607175501405,"score_spread":0.18713163539420954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2255030574","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":[0.0026522463,0.00064230186,0.9941091,0.0000027773692,0.0008045538,0.0008749929,0.000019228233,0.00015161776,0.0007431624],"genre_scores_gemma":[0.99564856,0.00008012378,0.0028757323,0.000013716592,0.00015507091,0.0009757667,0.00009614327,0.00003821795,0.0001166851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845904,0.0000669345,0.0009852357,0.00008000992,0.00015796268,0.00025079944],"domain_scores_gemma":[0.9989746,0.00025286415,0.00028576524,0.00024873068,0.00017353782,0.00006448942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074789015,0.00014977444,0.00026794983,0.00015409799,0.00006271859,0.00008780685,0.00017333441,0.00012653587,3.1292203e-7],"category_scores_gemma":[0.000033297267,0.00013086609,0.00004689506,0.00031580924,0.000022157004,0.0004891924,0.000019771678,0.000083475,0.0000031372545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010594024,0.0000033255083,0.0000064565497,0.00010555647,0.000012758534,1.8924909e-7,0.0018428633,0.9758568,0.00023075829,0.00040125847,0.0003733456,0.021156138],"study_design_scores_gemma":[0.0005918344,0.000024675444,0.0000019328452,0.00015614694,0.0000032445162,0.0000059511985,0.007123136,0.93338895,0.00090186787,0.000007827316,0.057657685,0.00013675349],"about_ca_topic_score_codex":0.00008317652,"about_ca_topic_score_gemma":0.00001685144,"teacher_disagreement_score":0.9929963,"about_ca_system_score_codex":0.00019463821,"about_ca_system_score_gemma":0.000022077447,"threshold_uncertainty_score":0.5336564},"labels":[],"label_agreement":null},{"id":"W2259836484","doi":"10.1049/el.2015.2199","title":"Energy‐efficient dynamic power allocation in multi‐antenna transmissions with imperfect channel estimation and feedback","year":2015,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Codebook; Computer science; Channel (broadcasting); Control theory (sociology); Power (physics); Kalman filter; Mathematical optimization; Fading; Mathematics; Algorithm; Telecommunications","score_opus":0.005710879411302177,"score_gpt":0.2057319850602202,"score_spread":0.200021105648918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259836484","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":[0.19430418,0.0008271049,0.8041518,0.00032702836,0.00007193036,0.00016817033,0.0000013184379,0.00012285626,0.000025634103],"genre_scores_gemma":[0.9934909,0.000064574204,0.006220893,0.00008149055,0.000006366148,0.000041534822,0.0000323818,0.00004533882,0.000016555246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920857,0.000026162948,0.00017065287,0.00018892194,0.0001073362,0.00029838184],"domain_scores_gemma":[0.99971086,0.000016825292,0.000032686323,0.00013230451,0.000030200868,0.00007712885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011106543,0.00015859424,0.0001322939,0.00014362333,0.000032220785,0.00002138815,0.00005809671,0.000055589087,0.0000011364921],"category_scores_gemma":[0.000009525021,0.00015057626,0.000014881475,0.00024840294,0.000020479374,0.0001461207,0.000005981979,0.00013413117,0.0000026021946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016266513,0.000016576147,0.000018777462,0.000014648744,0.00001109212,0.000002225652,0.00066985656,0.96564233,0.032697644,0.000049024813,0.000032508797,0.0008290762],"study_design_scores_gemma":[0.0008370966,0.000055397428,0.00011328284,0.000056429373,0.000007062861,0.000014927607,0.00007437265,0.99736863,0.0012215355,0.000015523448,0.000052491017,0.00018323614],"about_ca_topic_score_codex":0.000016217818,"about_ca_topic_score_gemma":0.00012986071,"teacher_disagreement_score":0.79918665,"about_ca_system_score_codex":0.00038404381,"about_ca_system_score_gemma":0.000031374566,"threshold_uncertainty_score":0.61403215},"labels":[],"label_agreement":null},{"id":"W2260407357","doi":"10.1007/s11265-015-1064-7","title":"On the Traffic Offloading in Wi-Fi Supported Heterogeneous Wireless Networks","year":2015,"lang":"en","type":"article","venue":"Journal of Signal Processing Systems","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":"Western University","funders":"National Science Foundation","keywords":"Macrocell; Computer network; Computer science; Heterogeneous network; Small cell; Cellular network; Femtocell; Wireless network; Context (archaeology); Wireless; Telecommunications; Base station; Geography","score_opus":0.019551684461688784,"score_gpt":0.22739303859416862,"score_spread":0.20784135413247984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260407357","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":[0.51739824,0.00517981,0.47542086,0.00004888369,0.0011318735,0.0003527599,0.0000018411889,0.00012312701,0.00034260325],"genre_scores_gemma":[0.9992863,0.000016909333,0.00014364386,0.00001851193,0.0004367577,0.000009471513,0.0000015515199,0.000060087285,0.000026772503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981858,0.00011660235,0.00090379664,0.00012159355,0.000372363,0.00029982155],"domain_scores_gemma":[0.99892724,0.00012494298,0.00044098066,0.0001191669,0.0002503644,0.00013730874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010406319,0.00020734742,0.0004028422,0.00021661624,0.000063515494,0.00015049,0.00025077566,0.00012468679,0.0000038319445],"category_scores_gemma":[0.00003916275,0.00014840832,0.00006544969,0.00040960335,0.00002874396,0.00035002394,0.000010307304,0.00043287428,0.0000047906747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037129892,0.000022308419,0.000046009525,0.000108532164,0.000027141255,0.000078264675,0.0005400105,0.9946853,0.00072520087,0.000030763727,0.00036910537,0.0033302621],"study_design_scores_gemma":[0.00043154857,0.000111391986,0.0000043722816,0.0013000842,0.000016097923,0.0005122829,0.0007389509,0.99623173,0.00036170034,0.000039771054,0.000085538595,0.00016651803],"about_ca_topic_score_codex":0.000003416633,"about_ca_topic_score_gemma":0.000003753377,"teacher_disagreement_score":0.48188806,"about_ca_system_score_codex":0.00032388393,"about_ca_system_score_gemma":0.00009125281,"threshold_uncertainty_score":0.6051916},"labels":[],"label_agreement":null},{"id":"W2263131770","doi":"","title":"Energy Efficiency Analysis for LTE Macro-Femto HetNets","year":2013,"lang":"en","type":"article","venue":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Femtocell; Femto-; Computer science; Heterogeneous network; Macro; Reuse; Computer network; Bandwidth (computing); Interference (communication); Energy consumption; Channel (broadcasting); Wireless; Wireless network; Telecommunications; Engineering; Base station; Electrical engineering","score_opus":0.007982201947579539,"score_gpt":0.21246204424250237,"score_spread":0.20447984229492283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2263131770","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":[0.15072098,0.00085296255,0.8453771,0.00009064232,0.0006374633,0.00039770742,0.000023469995,0.00065449876,0.0012451906],"genre_scores_gemma":[0.9777091,0.0001501599,0.020489855,0.00009604645,0.00035229788,0.0001789322,0.00010002519,0.0001356915,0.0007878868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975856,0.00007128333,0.00079592835,0.0005172605,0.00026155863,0.00076839345],"domain_scores_gemma":[0.9985519,0.00022825338,0.00018811345,0.0005496562,0.00026669848,0.000215345],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032856932,0.0004420094,0.0005853326,0.00071471714,0.00031621248,0.00021209105,0.00042749837,0.0001931001,0.000056448294],"category_scores_gemma":[0.00009070855,0.00043594657,0.00038210175,0.0012738208,0.000048388894,0.00041004867,0.00004981691,0.00023803544,0.00006567134],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013732163,0.000058703536,0.0008648586,0.00008282632,0.00072815036,0.0000101971345,0.0011772094,0.94789344,0.0414801,0.000896502,0.0016768016,0.0051174746],"study_design_scores_gemma":[0.0008199414,0.00010577109,0.00032488714,0.000107154534,0.00041151125,0.000030937663,0.00029312627,0.9641875,0.02676609,0.0008841553,0.0051676966,0.00090125104],"about_ca_topic_score_codex":0.0000733623,"about_ca_topic_score_gemma":0.000045034514,"teacher_disagreement_score":0.8269881,"about_ca_system_score_codex":0.00017684959,"about_ca_system_score_gemma":0.00003400649,"threshold_uncertainty_score":0.9998092},"labels":[],"label_agreement":null},{"id":"W2275443578","doi":"10.1109/tsp.2016.2518997","title":"Coordinate Update Algorithms for Robust Power Loading for the MU-MISO Downlink With Outage Constraints","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Telecommunications link; Computer science; Coordinate descent; Mathematical optimization; Beamforming; Algorithm; Transmitter power output; Channel (broadcasting); Mathematics; Transmitter; Telecommunications","score_opus":0.018997765291161102,"score_gpt":0.2405672977692325,"score_spread":0.2215695324780714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275443578","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":[0.00014294244,0.00013550722,0.99754095,0.00021778043,0.00030268077,0.0009540082,0.0001680723,0.0003693412,0.00016872484],"genre_scores_gemma":[0.9450342,0.000016390208,0.054129817,0.00004947846,0.00007458097,0.00039417334,0.0000037499801,0.00010002911,0.00019757228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885124,0.000013537148,0.00030832947,0.00029915376,0.00013695139,0.00039078493],"domain_scores_gemma":[0.9991664,0.00030258534,0.00009039224,0.0001673931,0.00019594167,0.00007728677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020171252,0.00026289618,0.00022347838,0.00011080409,0.00043638065,0.00009276464,0.00015449393,0.00010316524,0.0000530154],"category_scores_gemma":[0.000005337154,0.00016265185,0.000090412344,0.00019438176,0.00013279344,0.0004982409,6.585912e-7,0.00014389482,0.000009829913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099298966,0.000022104448,0.0000012312886,0.0001229805,0.0000778907,0.0000012865579,0.00015729512,0.7918613,0.006055378,0.000016055197,0.00004268143,0.20154253],"study_design_scores_gemma":[0.0029937776,0.00020434415,0.000002081147,0.00074715406,0.00016391742,0.000043100314,0.0005180767,0.92355925,0.06979068,0.00012447749,0.0012632974,0.00058982184],"about_ca_topic_score_codex":8.892905e-7,"about_ca_topic_score_gemma":0.0000062507584,"teacher_disagreement_score":0.9448913,"about_ca_system_score_codex":0.00012549464,"about_ca_system_score_gemma":0.000049191334,"threshold_uncertainty_score":0.663275},"labels":[],"label_agreement":null},{"id":"W2276436981","doi":"10.1109/vtcfall.2015.7391157","title":"Stochastic Geometry Modeling of Cellular Uplink Power Control under Composite Rayleigh-Lognormal Fading","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Path loss; Rayleigh fading; Shadow mapping; Stochastic geometry; Telecommunications link; Coverage probability; Log-distance path loss model; Log-normal distribution; Power control; Fading; Transmitter power output; Signal-to-interference-plus-noise ratio; Interference (communication); Computer science; Mathematics; Topology (electrical circuits); Algorithm; Power (physics); Statistics; Telecommunications; Physics; Wireless; Decoding methods; Transmitter; Channel (broadcasting)","score_opus":0.014151437667656079,"score_gpt":0.21205694787747234,"score_spread":0.19790551020981625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2276436981","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":[0.034361754,0.00043767795,0.96202326,0.00001045419,0.00037349967,0.00022120589,0.0000043892505,0.00027917483,0.002288614],"genre_scores_gemma":[0.9834902,0.000001547018,0.016303997,0.00001956192,0.000048822087,0.0000054988,0.0000121066505,0.000050006965,0.00006825921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990248,0.000016443015,0.00038403508,0.00015371491,0.00016007699,0.00026092556],"domain_scores_gemma":[0.9994137,0.000050078903,0.000052378,0.00021014317,0.00014854265,0.00012512092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017928766,0.00017077036,0.00028785033,0.00018191506,0.00002995691,0.000017052826,0.00011956381,0.00010153958,0.000027503158],"category_scores_gemma":[0.000024951389,0.0001705768,0.000051006875,0.00021192138,0.000018723567,0.00026152172,0.000025558706,0.00012637158,0.000022034488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011813773,0.000009995884,0.000032883847,0.000023449185,0.000040095743,0.0000011996103,0.00014018387,0.9854564,0.013395444,0.00083761394,0.000018999299,0.0000319348],"study_design_scores_gemma":[0.0009802759,0.000024751189,0.0000028104205,0.00003265196,0.000022538889,0.000003959302,0.00024493667,0.9963344,0.0019725454,0.00019294188,0.0000029852347,0.00018525228],"about_ca_topic_score_codex":0.00001393096,"about_ca_topic_score_gemma":0.0000012871778,"teacher_disagreement_score":0.94912845,"about_ca_system_score_codex":0.00010140503,"about_ca_system_score_gemma":0.000015771022,"threshold_uncertainty_score":0.695592},"labels":[],"label_agreement":null},{"id":"W2278832915","doi":"10.1109/wcnc.2015.7127502","title":"Joint pilot assignment and resource allocation in multicell massive MIMO network: Throughput and energy efficiency maximization","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Mathematical optimization; Computer science; Maximization; Resource allocation; MIMO; Throughput; Convergence (economics); Optimization problem; Convex optimization; Efficient energy use; Iterative method; Assignment problem; Regular polygon; Algorithm; Wireless; Mathematics; Engineering; Computer network; Telecommunications","score_opus":0.021309836401848185,"score_gpt":0.21251598873228442,"score_spread":0.19120615233043622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2278832915","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":[0.006183909,0.00090346194,0.9862227,0.000072700524,0.000120037024,0.00018474221,7.381009e-7,0.00014705583,0.006164696],"genre_scores_gemma":[0.97556305,0.00016393392,0.023569645,0.000047918988,0.000063710584,0.00003393171,0.000020937308,0.0000315306,0.00050537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916446,0.00004672867,0.0002681407,0.00020966645,0.000109425026,0.00020160337],"domain_scores_gemma":[0.9996522,0.00003460661,0.000051524494,0.00013266537,0.0000427525,0.00008621837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000191853,0.00013820143,0.00015221463,0.00007460966,0.000032604275,0.000032856486,0.000038074373,0.000059683054,0.0000046129817],"category_scores_gemma":[0.00003572815,0.00013705027,0.000007124815,0.00018365863,0.000025031093,0.00019759894,0.000037896927,0.0000576184,0.0000028272782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009039055,0.000018382398,0.0002503724,0.00002071387,0.0000045795314,0.0000013437812,0.000287132,0.9952691,0.000661441,0.0013945122,0.00037600356,0.0017073774],"study_design_scores_gemma":[0.00078815967,0.00007560514,0.00026715104,0.000045521072,0.000006837354,0.0000024179944,0.0002927684,0.99605745,0.0008078029,0.00018308968,0.0013010286,0.00017218906],"about_ca_topic_score_codex":0.000059219168,"about_ca_topic_score_gemma":0.00009313497,"teacher_disagreement_score":0.9693791,"about_ca_system_score_codex":0.00014504259,"about_ca_system_score_gemma":0.000010689881,"threshold_uncertainty_score":0.5588748},"labels":[],"label_agreement":null},{"id":"W2281296963","doi":"10.1109/vtcfall.2015.7391106","title":"Radio Resource and Interference Management in Uplink Multi-Cell MU-MIMO Systems with ZF Post-Processing","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"King Saud University; Saudi Arabian Cultural Bureau","keywords":"Telecommunications link; Computer science; MIMO; Scheduling (production processes); Base station; Single antenna interference cancellation; Interference (communication); Bit error rate; Decoding methods; Multi-user MIMO; Electronic engineering; Computer network; Real-time computing; Algorithm; Engineering; Mathematical optimization; Mathematics","score_opus":0.01585954141159608,"score_gpt":0.2150358550439773,"score_spread":0.1991763136323812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281296963","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":[0.0133055635,0.0016793846,0.9707829,0.000016831396,0.000099609366,0.0004530767,0.0000011480238,0.000323131,0.01333836],"genre_scores_gemma":[0.9568205,0.000022156548,0.041583892,0.000014886164,0.000020592362,0.00003724401,0.0000070258234,0.000042305855,0.0014514163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992215,0.000018256935,0.00023368174,0.00021598968,0.0000877461,0.00022283958],"domain_scores_gemma":[0.9996127,0.0000126708255,0.000039387884,0.00017831312,0.000056812794,0.00010011096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015033431,0.00016099722,0.00017472648,0.00013903614,0.000021702876,0.00006839881,0.000099088225,0.000054026856,0.0000015507641],"category_scores_gemma":[0.00000687147,0.00013849969,0.000007473628,0.0001839503,0.000019387568,0.00024042258,0.000041845164,0.00010342766,0.000010245544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002514454,0.000022767068,0.0008217698,0.00050775334,0.000012718047,0.00002430868,0.0011689689,0.9934861,0.00018060785,0.00006223965,0.000115830626,0.00357181],"study_design_scores_gemma":[0.001394048,0.00004589924,0.00012963256,0.0003032178,0.000009646029,0.000020723857,0.0039388305,0.9932708,0.00017873077,0.0000023326904,0.00047577373,0.00023037876],"about_ca_topic_score_codex":0.000056662506,"about_ca_topic_score_gemma":0.000066811284,"teacher_disagreement_score":0.94351494,"about_ca_system_score_codex":0.00013501917,"about_ca_system_score_gemma":0.0000093416675,"threshold_uncertainty_score":0.5647853},"labels":[],"label_agreement":null},{"id":"W2281592530","doi":"10.1109/twc.2015.2504084","title":"Low-Complexity SINR Feasibility Checking and Joint Power and Admission Control in Prioritized Multitier Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrocell; Telecommunications link; Computer science; Underlay; Femtocell; Cellular network; Base station; Power control; Signal-to-interference-plus-noise ratio; Computer network; Wireless network; Interference (communication); Wireless; Transmitter power output; Power (physics); Signal-to-noise ratio (imaging); Algorithm; Telecommunications; Transmitter","score_opus":0.043446216626195536,"score_gpt":0.26598506628917856,"score_spread":0.22253884966298304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281592530","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":[0.12393687,0.00064733054,0.87401676,0.00014991783,0.00017414289,0.00061826356,0.000024438736,0.00022142557,0.00021085619],"genre_scores_gemma":[0.9917712,0.00040472692,0.007610377,0.00003123421,0.000010544738,0.00009701842,0.000011472002,0.000040880266,0.000022525697],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988327,0.00018311919,0.0004281554,0.00022733466,0.00010822878,0.0002204446],"domain_scores_gemma":[0.9986359,0.0001437654,0.00006172843,0.00086732546,0.000101603924,0.0001896899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003275733,0.00019929942,0.00030952203,0.0001495989,0.00020394407,0.000047166952,0.00016713659,0.00014594558,0.0000078933235],"category_scores_gemma":[0.0000160613,0.00022223407,0.000043430064,0.00023999093,0.00017560167,0.00027866312,0.0000068370914,0.0004555048,0.000002671279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083953724,0.0003713113,0.0005743475,0.00009825299,0.000040592928,0.0000025409179,0.0018392324,0.9759132,0.0137664005,0.00029329304,0.000020135032,0.0069967285],"study_design_scores_gemma":[0.0023918792,0.000031396277,0.0007785397,0.00019802041,0.000023134084,0.000006653249,0.00035549264,0.99323636,0.0024990288,0.00015186802,0.000059640333,0.00026801092],"about_ca_topic_score_codex":0.00006607126,"about_ca_topic_score_gemma":0.00032599393,"teacher_disagreement_score":0.8678343,"about_ca_system_score_codex":0.00022297424,"about_ca_system_score_gemma":0.000030718704,"threshold_uncertainty_score":0.9062442},"labels":[],"label_agreement":null},{"id":"W2283144661","doi":"10.1155/2016/5140486","title":"Optimal Network QoS over the Internet of Vehicles for E-Health Applications","year":2016,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National High-tech Research and Development Program; National Natural Science Foundation of China","keywords":"Quality of service; Computer science; EMI; Wireless; Computer network; The Internet; Mobile QoS; Wireless network; Interference (communication); Service (business); Electromagnetic interference; Service provider; Telecommunications","score_opus":0.006876902322939253,"score_gpt":0.23626046313954152,"score_spread":0.22938356081660227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2283144661","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":[0.0015282779,0.00036744925,0.99426323,0.000021884658,0.00047669344,0.002631053,0.000075208736,0.0001715101,0.00046467266],"genre_scores_gemma":[0.9907937,0.00005137892,0.002684411,0.000034570516,0.00029609402,0.0059365593,0.000049610135,0.000021230848,0.00013245919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897635,0.00002110808,0.00065705774,0.00005926497,0.00010933901,0.00017685276],"domain_scores_gemma":[0.9992116,0.00012782509,0.00025625614,0.00025015493,0.0001168957,0.000037241778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032180385,0.00009925394,0.00016981245,0.00005544791,0.000055628443,0.000032887754,0.00015154434,0.000055351473,0.000006260302],"category_scores_gemma":[0.0000114044,0.000062253646,0.0000445313,0.00014738244,0.00002457163,0.00059775455,0.00001721942,0.000035407233,0.000038949802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005729956,0.00000335396,0.000078498466,0.00027844543,0.000021999627,5.8053202e-9,0.00042615016,0.96977156,0.00007287384,0.0047297557,0.010616481,0.013995162],"study_design_scores_gemma":[0.0005030891,0.00007169594,0.00011339994,0.00025888308,0.000007710675,0.0000052388027,0.00048650758,0.4025396,0.00046525552,0.00003284545,0.59534794,0.00016781091],"about_ca_topic_score_codex":0.000013189204,"about_ca_topic_score_gemma":0.0000018491708,"teacher_disagreement_score":0.9915788,"about_ca_system_score_codex":0.00011518277,"about_ca_system_score_gemma":0.000020027534,"threshold_uncertainty_score":0.25386298},"labels":[],"label_agreement":null},{"id":"W2284399987","doi":"10.1109/vtcfall.2015.7391104","title":"QoS-Guaranteed User Association in HetNets via Semidefinite Relaxation","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heterogeneous network; Computer science; Base station; Telecommunications link; Relaxation (psychology); Quality of service; Computational complexity theory; Association scheme; Association (psychology); Computer network; Mathematical optimization; Algorithm; Mathematics; Wireless network; Telecommunications; Wireless","score_opus":0.011760288668178433,"score_gpt":0.21372286136585716,"score_spread":0.20196257269767873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284399987","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":[0.07947524,0.00021411333,0.8760075,0.00008136545,0.0012413461,0.00039825423,0.0000038832322,0.00087013736,0.04170819],"genre_scores_gemma":[0.9903479,0.000015326646,0.0077330447,0.00004837895,0.00008887563,0.000025409623,0.00003119182,0.000035206784,0.001674666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992696,0.000032123116,0.00026902292,0.00011243975,0.00014484125,0.00017196416],"domain_scores_gemma":[0.9996476,0.00004548122,0.00006497296,0.0001227307,0.00007400053,0.00004517689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029175653,0.000098878045,0.00012707098,0.00011675159,0.0000123659265,0.000018078132,0.000048970487,0.0001221171,0.000017983295],"category_scores_gemma":[0.00016575189,0.00010631211,0.000018602012,0.00028911038,0.000002926389,0.0003363141,0.000009479763,0.00010112518,0.00018906534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005229251,0.000009901384,0.021842275,0.000013630796,0.00000943358,0.0000015915581,0.00046239595,0.9723284,0.001247369,0.00031908115,0.0032857251,0.0004749486],"study_design_scores_gemma":[0.0018041348,0.00003196405,0.005764666,0.00006529634,0.000011386503,0.00000687614,0.0002407491,0.97857875,0.0033037362,0.00085665274,0.008912579,0.00042322782],"about_ca_topic_score_codex":0.000065631524,"about_ca_topic_score_gemma":0.00021564253,"teacher_disagreement_score":0.91087264,"about_ca_system_score_codex":0.0006058301,"about_ca_system_score_gemma":0.000010792642,"threshold_uncertainty_score":0.43352818},"labels":[],"label_agreement":null},{"id":"W2284873372","doi":"10.1016/j.comcom.2015.11.006","title":"Wireless and Mobile Network Modeling, Analysis, Design, Optimization, and Simulation","year":2015,"lang":"en","type":"article","venue":"Computer 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":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Graph; Social network (sociolinguistics); Machine learning; Mobile social network; Artificial intelligence; Data mining; World Wide Web; Theoretical computer science; Mobile computing; Social media; Computer network","score_opus":0.044765546650496243,"score_gpt":0.27213420369710706,"score_spread":0.2273686570466108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284873372","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":[0.0011489948,0.0029278076,0.9952063,0.00002261352,0.00006276979,0.00028027725,0.0000022929573,0.00026425387,0.00008467426],"genre_scores_gemma":[0.5762237,0.0003630451,0.42325214,0.0000129959,0.00003475469,0.00003462782,0.000058429105,0.000015023597,0.0000052963474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993535,0.0000925887,0.00024227475,0.0001343601,0.00005990136,0.00011732727],"domain_scores_gemma":[0.9989014,0.00012212663,0.00004314929,0.00067743275,0.00016264609,0.00009324473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001814415,0.00011225955,0.00017186363,0.000108666034,0.00013430671,0.00006886608,0.00019579755,0.000058650618,0.0000013913063],"category_scores_gemma":[0.000007294529,0.00012759477,0.000019024232,0.0004671164,0.000039651244,0.00024396376,0.00015957837,0.000084057196,0.0000016535828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010854707,0.000007868146,0.000255033,0.0000057578027,0.00007041847,7.740381e-8,0.0005122622,0.9973331,0.0000011808519,0.00013467591,0.00008706004,0.0015914622],"study_design_scores_gemma":[0.00017659346,0.0000138942805,0.000018714121,0.000013104229,0.00008042202,0.0000015258731,0.000030180134,0.9990854,0.0000010506963,0.0001836249,0.00026690387,0.00012855692],"about_ca_topic_score_codex":0.0000073470496,"about_ca_topic_score_gemma":0.00000945868,"teacher_disagreement_score":0.5750747,"about_ca_system_score_codex":0.000039674924,"about_ca_system_score_gemma":0.000011383461,"threshold_uncertainty_score":0.5203164},"labels":[],"label_agreement":null},{"id":"W2287365740","doi":"10.1155/2016/6395385","title":"A New Link Scheduling Algorithm for 60 GHz-WPAN Communication System","year":2016,"lang":"en","type":"article","venue":"International Journal of Distributed Sensor Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Computer network; Omnidirectional antenna; Wireless; Beamforming; Time division multiple access; Scheduling (production processes); Directional antenna; Antenna (radio); Telecommunications","score_opus":0.009179684851100493,"score_gpt":0.23915118293134993,"score_spread":0.22997149808024944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287365740","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":[0.000847482,0.00080853264,0.99538875,0.00045630764,0.0019615947,0.00017921401,0.00015589909,0.0001338064,0.00006844692],"genre_scores_gemma":[0.7378894,0.00030521472,0.2594171,0.00001618492,0.0021182525,0.000008412531,0.0001330485,0.00005074007,0.00006163658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863106,0.00004387463,0.00074723695,0.00011175986,0.00025374632,0.00021230034],"domain_scores_gemma":[0.99810433,0.00029176043,0.0004132992,0.00019705198,0.0008572454,0.00013628665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026016647,0.00016799054,0.00026131282,0.00013008121,0.000052287705,0.00007332279,0.00046498436,0.00014145474,0.000015880052],"category_scores_gemma":[0.00010382052,0.00013627164,0.0001532704,0.0001209389,0.000020078047,0.00037151302,0.000032763826,0.00018805782,0.0000061502283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038543112,0.000008628963,0.00004641861,0.000010217221,0.0002498874,0.000013085049,0.00002882916,0.8913036,0.00066066213,0.00025394803,0.0014187496,0.10596743],"study_design_scores_gemma":[0.0018547291,0.000049428905,0.00008006058,0.0009153094,0.00004764063,0.00022875634,0.00011164704,0.9908611,0.00079373585,0.00015248253,0.0047062556,0.0001988375],"about_ca_topic_score_codex":0.0000046198843,"about_ca_topic_score_gemma":0.000002411057,"teacher_disagreement_score":0.73704195,"about_ca_system_score_codex":0.00051773706,"about_ca_system_score_gemma":0.000038703383,"threshold_uncertainty_score":0.55569965},"labels":[],"label_agreement":null},{"id":"W2287947669","doi":"10.1109/commantel.2015.7394293","title":"Capacity-achieving signals of non-coherent rayleigh fading channels with additive gaussian mixture noise","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Rayleigh fading; Fading; Upper and lower bounds; Transmitter; Channel state information; Gaussian; Gaussian noise; Channel capacity; Topology (electrical circuits); Channel (broadcasting); Additive white Gaussian noise; Mathematics; Fading distribution; Computer science; Algorithm; Wireless; Telecommunications; Mathematical analysis; Physics; Combinatorics","score_opus":0.01543123162317342,"score_gpt":0.2175495362294232,"score_spread":0.20211830460624977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287947669","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":[0.0432056,0.0001349988,0.9368796,0.000020733942,0.00028687314,0.0004908736,0.000028584655,0.00025559933,0.018697163],"genre_scores_gemma":[0.97574866,0.000010826231,0.023656495,0.000013066806,0.00013804271,0.000049348415,0.0000232763,0.000060734495,0.00029956352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905074,0.000026496074,0.00028064154,0.00019289469,0.00018512996,0.00026412218],"domain_scores_gemma":[0.99935,0.00004244411,0.00009340724,0.00021107664,0.0001482366,0.00015479531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012662246,0.00022481651,0.0003256191,0.00012212485,0.000032822907,0.000021265592,0.00011359587,0.0000943142,0.00006876592],"category_scores_gemma":[0.000029823255,0.00018377583,0.000039468763,0.0002660638,0.00003393352,0.00033064935,0.00002080939,0.0001431182,0.000017791206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018259894,0.000018649898,0.000154578,0.00010434261,0.0000670245,0.0000053873396,0.002233202,0.970161,0.025679102,0.00010457098,0.0007946466,0.0006592166],"study_design_scores_gemma":[0.0026860593,0.0004683182,0.00024539107,0.0016408309,0.00009422653,0.00005660608,0.0030830225,0.5179143,0.47102895,0.00014596693,0.0013595695,0.0012767613],"about_ca_topic_score_codex":0.000032960936,"about_ca_topic_score_gemma":0.000023163435,"teacher_disagreement_score":0.93254304,"about_ca_system_score_codex":0.00011694231,"about_ca_system_score_gemma":0.000021415033,"threshold_uncertainty_score":0.7494161},"labels":[],"label_agreement":null},{"id":"W2288338004","doi":"10.1109/lwc.2015.2488646","title":"Integral Approximations for Coverage Probability","year":2015,"lang":"en","type":"preprint","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Approximations of π; Poisson distribution; Laplace transform; Mathematics; Laplace's method; Noise (video); Poisson point process; Applied mathematics; Mathematical analysis; Computer science; Statistics","score_opus":0.049671454996825286,"score_gpt":0.2793022279883548,"score_spread":0.2296307729915295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288338004","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":[0.018557524,0.00040959893,0.97298807,0.0015308248,0.0011356064,0.002627827,0.00060435844,0.001033736,0.0011124606],"genre_scores_gemma":[0.79900503,0.00022353006,0.19412649,0.0001676366,0.00017384114,0.0042372416,0.0018375335,0.00015782437,0.000070866365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832445,0.00014739025,0.0006854475,0.00036380056,0.00016108307,0.0003178123],"domain_scores_gemma":[0.99548066,0.00024647676,0.00021569977,0.0036122357,0.00033638015,0.000108549524],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004072332,0.00039394776,0.0004791641,0.00019256603,0.0001884755,0.00012275654,0.0016052278,0.00030084923,0.0000034575512],"category_scores_gemma":[0.000081231265,0.0004582011,0.00018236371,0.00021653679,0.00018836212,0.00023650048,0.00038195093,0.0008316508,0.000019344305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060407056,0.00006230848,0.000037253692,0.00061194896,0.00009970728,2.0775329e-7,0.00078144256,0.98302376,0.0018547779,0.0013663995,0.009558997,0.0025971667],"study_design_scores_gemma":[0.0004945303,0.000010605091,0.00001475801,0.0002928654,0.00006945884,0.000003784348,0.00007544623,0.98473966,0.0005860967,0.0059976033,0.0070447335,0.0006704535],"about_ca_topic_score_codex":0.000038304748,"about_ca_topic_score_gemma":0.00009890037,"teacher_disagreement_score":0.78044754,"about_ca_system_score_codex":0.0008058262,"about_ca_system_score_gemma":0.00010467154,"threshold_uncertainty_score":0.999787},"labels":[],"label_agreement":null},{"id":"W2289009894","doi":"10.1109/glocom.2015.7417139","title":"Downlink Performance and User Scheduling of HetNet with Large-Scale Antenna Arrays","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Telecommunications link; Precoding; Computer science; Heterogeneous network; MIMO; Scheduling (production processes); Base station; Channel state information; Macro; Multi-user MIMO; Small cell; Computer network; Channel (broadcasting); Mathematical optimization; Wireless network; Wireless; Telecommunications; Mathematics","score_opus":0.03260289107479505,"score_gpt":0.2681368544031861,"score_spread":0.23553396332839102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289009894","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":[0.1879782,0.0019636254,0.7956778,0.00027618607,0.0002558591,0.00053394487,0.00019246181,0.00039119582,0.012730748],"genre_scores_gemma":[0.8917142,0.0008588439,0.10720729,0.00002181141,0.00002222543,0.000035207842,0.000067090885,0.000022263708,0.000051072475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988096,0.0000709908,0.0004097976,0.00020834433,0.00018957899,0.00031170537],"domain_scores_gemma":[0.9977418,0.00003644987,0.00014443189,0.0013498504,0.0005408432,0.00018661655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002772602,0.0002357839,0.0003334327,0.000064254185,0.00012173997,0.000053399082,0.00067817676,0.00011725377,0.000009805143],"category_scores_gemma":[0.000031189327,0.00022695857,0.00002801539,0.00038949001,0.00019991332,0.00054407277,0.00015752592,0.00022438983,0.000030559906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018568216,0.00047714476,0.121960156,0.0005738654,0.0003283694,0.0000035283756,0.0036907566,0.8478363,0.0022593397,0.0115370015,0.004923203,0.0062246635],"study_design_scores_gemma":[0.001108544,0.00009353999,0.001250843,0.00026752512,0.00004075959,0.000035838657,0.0013753228,0.9907861,0.00024937835,0.00014650915,0.0042634155,0.00038223484],"about_ca_topic_score_codex":0.00005553049,"about_ca_topic_score_gemma":0.00049232296,"teacher_disagreement_score":0.703736,"about_ca_system_score_codex":0.00014094099,"about_ca_system_score_gemma":0.00011893108,"threshold_uncertainty_score":0.92551017},"labels":[],"label_agreement":null},{"id":"W2289104935","doi":"10.1109/glocom.2015.7417494","title":"Cloud Assisted Resource Management for Hyper-Dense Small Cell Networks","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Resource allocation; Cloud computing; Computer network; Overhead (engineering); Cellular network; Distributed computing; Resource management (computing); Base station; Wireless network; Small cell; Wireless; Telecommunications","score_opus":0.07208343718790726,"score_gpt":0.28500247249935423,"score_spread":0.21291903531144696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289104935","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":[0.0012814115,0.0023403857,0.89296967,0.00034924335,0.0009018503,0.0012428348,0.00012920218,0.0007826952,0.10000268],"genre_scores_gemma":[0.8839624,0.00059996505,0.11275856,0.00013570591,0.00015446154,0.00044607866,0.0003643357,0.00007336323,0.0015051241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982359,0.00016901967,0.000582815,0.0003277145,0.00018240712,0.0005021697],"domain_scores_gemma":[0.9965653,0.00011549537,0.00016737799,0.0024108486,0.00044953692,0.00029144192],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043175978,0.0003430915,0.00035941208,0.000077790435,0.00021719353,0.00014295294,0.0015522237,0.0002067325,0.000010984575],"category_scores_gemma":[0.00004013127,0.00039245258,0.00010239665,0.0004637666,0.00011330558,0.0002026647,0.00029537862,0.00024470524,0.000113021626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010139383,0.00027705266,0.0004581494,0.00018528134,0.00017673198,0.0000041530056,0.0002925925,0.78577787,0.0000791396,0.020264363,0.16778745,0.024595845],"study_design_scores_gemma":[0.0019378962,0.00008908617,0.00013062674,0.00013975808,0.00013874743,0.000023498756,0.0012345262,0.7401416,0.0000751174,0.0011367052,0.2542226,0.00072985527],"about_ca_topic_score_codex":0.000055834007,"about_ca_topic_score_gemma":0.0004331411,"teacher_disagreement_score":0.882681,"about_ca_system_score_codex":0.0005581171,"about_ca_system_score_gemma":0.00007185071,"threshold_uncertainty_score":0.9998527},"labels":[],"label_agreement":null},{"id":"W2289942655","doi":"10.1109/glocomw.2015.7413980","title":"Solutions to Support Mobility in SDN-Based Dense Wireless Networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer network; Computer science; Wireless network; Software-defined networking; Default gateway; Wireless; Distributed computing; Telecommunications","score_opus":0.025204566135882782,"score_gpt":0.2455402574115396,"score_spread":0.2203356912756568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2289942655","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":[0.037244715,0.000026192516,0.9587122,0.00003338309,0.0002643648,0.00029671783,0.0000028013653,0.00034912146,0.0030704583],"genre_scores_gemma":[0.9902234,0.0000011701072,0.009409729,0.00005878803,0.000039442642,0.00006904886,0.000016026805,0.000023022305,0.00015933973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993076,0.000020375324,0.00021130384,0.00013574917,0.000072600356,0.00025242238],"domain_scores_gemma":[0.99952036,0.000028471211,0.000011505665,0.00023342446,0.000060455328,0.00014577615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002340126,0.00009550684,0.0001252281,0.0000767522,0.000017248265,0.000011559763,0.00007244832,0.00006814865,0.000031945772],"category_scores_gemma":[0.000035742974,0.000102086604,0.000019148876,0.00029655732,0.000010366245,0.00010198749,0.00001800551,0.000080063684,0.000059168473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051697098,0.000019443303,0.0013076942,0.000008124369,0.0000019157387,0.0000026021569,0.000064302956,0.9958807,0.000071504386,0.00011434562,0.0018840162,0.00064015057],"study_design_scores_gemma":[0.0003120594,0.000025141251,0.0003826878,0.000011450661,0.0000020835041,0.0000014132737,0.00007371009,0.99838424,0.00025045496,0.000028840735,0.00039923706,0.00012868864],"about_ca_topic_score_codex":0.000070800896,"about_ca_topic_score_gemma":0.000939384,"teacher_disagreement_score":0.95297873,"about_ca_system_score_codex":0.00024483894,"about_ca_system_score_gemma":0.000035969744,"threshold_uncertainty_score":0.41629708},"labels":[],"label_agreement":null},{"id":"W2290409208","doi":"10.1109/acssc.2015.7421353","title":"A coordinated uplink scheduling and power control algorithm for multicell networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Computer science; Power control; Scheduling (production processes); Mathematical optimization; Transmitter power output; Integer programming; Maximization; Algorithm; Distributed computing; Computer network; Power (physics); Mathematics; Channel (broadcasting)","score_opus":0.009444419152925444,"score_gpt":0.2233969054690531,"score_spread":0.21395248631612768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290409208","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":[0.00043940122,0.00074108405,0.99700826,0.000016013539,0.0003395464,0.0004636619,0.0000033721756,0.00036226542,0.00062640227],"genre_scores_gemma":[0.65364087,0.000007569729,0.34597442,0.000030875908,0.000064251806,0.000027539461,0.0000092829705,0.000035656634,0.00020956677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949414,0.0000071963645,0.00016017043,0.00012067048,0.00003324899,0.00018456824],"domain_scores_gemma":[0.9995942,0.000066840665,0.000022746424,0.00009305972,0.00011858978,0.000104524916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013230479,0.00010919616,0.00014970494,0.000036120764,0.000026100914,0.000026495996,0.000038985127,0.00008579106,0.000004966614],"category_scores_gemma":[0.00003861072,0.000105311046,0.00001857751,0.000073768286,0.000011460115,0.00013493888,0.000008831841,0.00006390909,0.0000048721736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062676695,0.0000045214447,0.000021389631,0.000008622359,0.000020689822,6.860786e-7,0.000053614047,0.9938089,0.000102298174,0.000077762365,0.00016719686,0.0057280436],"study_design_scores_gemma":[0.002097339,0.000027658125,0.0000027201843,0.000013205496,0.000012594069,0.0000025499685,0.000107316046,0.9969446,0.00014244144,0.00003084705,0.00048452138,0.00013418972],"about_ca_topic_score_codex":0.0000040358864,"about_ca_topic_score_gemma":0.0000016155742,"teacher_disagreement_score":0.65320146,"about_ca_system_score_codex":0.000037845883,"about_ca_system_score_gemma":0.00000592465,"threshold_uncertainty_score":0.42944598},"labels":[],"label_agreement":null},{"id":"W2290617295","doi":"10.1109/glocom.2015.7417275","title":"Dual Decomposition Method for Energy-Efficient Resource Allocation in D2D Communications Underlying Cellular Networks","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Resource allocation; Cellular network; Quality of service; Efficient energy use; Spectral efficiency; Dual (grammatical number); Resource management (computing); Mathematical optimization; Channel allocation schemes; Optimization problem; Channel (broadcasting); Computer network; Distributed computing; Wireless; Algorithm; Mathematics; Engineering; Telecommunications","score_opus":0.0915133012168476,"score_gpt":0.35624767789879275,"score_spread":0.26473437668194516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290617295","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":[0.0005943034,0.0029423123,0.98547417,0.0009578678,0.00034263794,0.00082391495,0.000088706474,0.00044712116,0.008328984],"genre_scores_gemma":[0.8043768,0.0003547993,0.19355285,0.00008437513,0.000046740774,0.00048192014,0.0010127285,0.000046639318,0.00004316083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974088,0.00058364443,0.0008843972,0.00037346492,0.0002427426,0.00050692965],"domain_scores_gemma":[0.99537146,0.00038710344,0.00025001043,0.0031380565,0.00060815655,0.00024518548],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010232052,0.00035922273,0.00042044546,0.00018988052,0.0003422555,0.0001566999,0.0016857947,0.0002802286,0.000005579641],"category_scores_gemma":[0.000071949704,0.00044200176,0.00009939766,0.0008711212,0.00016516562,0.00035652405,0.0003491338,0.00034562915,0.000021101849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002243227,0.00016284795,0.00009088542,0.000025692514,0.000041451756,5.1966e-7,0.00034162906,0.9499419,0.00055615033,0.03543915,0.0028039718,0.010573424],"study_design_scores_gemma":[0.0008867983,0.00003908128,0.000044276476,0.00012224085,0.000046062545,0.00001285667,0.0008701271,0.9817755,0.00018905659,0.0019585686,0.013634178,0.00042121546],"about_ca_topic_score_codex":0.00046627593,"about_ca_topic_score_gemma":0.002014278,"teacher_disagreement_score":0.80378246,"about_ca_system_score_codex":0.0011959743,"about_ca_system_score_gemma":0.00018642006,"threshold_uncertainty_score":0.9998032},"labels":[],"label_agreement":null},{"id":"W2290622669","doi":"10.1109/glocom.2015.7417612","title":"On Resource Allocation for Downlink Power Minimization in OFDMA Small Cells in a Cloud-RAN","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Macrocell; Telecommunications link; Transmitter power output; Quality of service; Computer science; C-RAN; Radio access network; Computer network; Optimization problem; Resource allocation; Orthogonal frequency-division multiple access; Cloud computing; Power control; Cellular network; Mathematical optimization; Power (physics); Orthogonal frequency-division multiplexing; Base station; Mathematics; Transmitter; Algorithm; Mobile station","score_opus":0.05364715362380884,"score_gpt":0.2894909691462616,"score_spread":0.23584381552245276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290622669","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":[0.07120767,0.0018008843,0.8787228,0.0031343757,0.0018047919,0.0045046746,0.00062806,0.00088166015,0.037315123],"genre_scores_gemma":[0.98036665,0.00025320877,0.018281551,0.0001216299,0.00003922398,0.00045251456,0.00033598806,0.000041606392,0.000107621265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814665,0.00022329413,0.0007237438,0.00033203416,0.00017964812,0.00039461855],"domain_scores_gemma":[0.9976357,0.00022438433,0.00016756722,0.0014423815,0.00037372898,0.00015621417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048771643,0.00029797037,0.00035639628,0.00022067582,0.00007515855,0.0000796407,0.0009905973,0.0002497397,0.000012898561],"category_scores_gemma":[0.00022462825,0.00034984545,0.00005659873,0.00075249537,0.00008031817,0.00028691962,0.00009837518,0.00027071754,0.00006560552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099956946,0.000279115,0.00091704284,0.000054989898,0.000023404702,0.0000010170703,0.0011335545,0.9675746,0.0005103519,0.015412495,0.010657882,0.0033355996],"study_design_scores_gemma":[0.0033895287,0.00015167055,0.0006368395,0.00046169822,0.000027953976,0.000004573397,0.0012919573,0.96708983,0.000649417,0.0049712243,0.020550959,0.0007743182],"about_ca_topic_score_codex":0.00028875496,"about_ca_topic_score_gemma":0.004072997,"teacher_disagreement_score":0.909159,"about_ca_system_score_codex":0.00088342594,"about_ca_system_score_gemma":0.00016497434,"threshold_uncertainty_score":0.99989533},"labels":[],"label_agreement":null},{"id":"W2290855852","doi":"10.1109/glocom.2015.7417308","title":"Cognitive MU-MIMO Scheduling in Circular Array Based Heterogeneous Networks","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Codebook; Computer science; MIMO; Scheduling (production processes); Spectral efficiency; Wireless; Telecommunications link; Cognitive radio; Computer network; Schedule; Heterogeneous network; Wireless network; Distributed computing; Telecommunications; Algorithm; Engineering","score_opus":0.05973339818328947,"score_gpt":0.3023882915081686,"score_spread":0.24265489332487913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290855852","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":[0.01220578,0.0032181954,0.9744655,0.00017766433,0.000553984,0.0006644957,0.000085754444,0.0005143921,0.008114255],"genre_scores_gemma":[0.97756135,0.00027335942,0.02153246,0.00011126639,0.000056242974,0.00016677652,0.00024073619,0.000045671975,0.000012117803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997996,0.00028740868,0.0006235109,0.00034059116,0.00023450292,0.00051798776],"domain_scores_gemma":[0.9973368,0.00013755752,0.00014605792,0.0015331695,0.0005608977,0.00028549854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041785615,0.00035758747,0.0004172636,0.00012777951,0.00013097606,0.00012217672,0.001085341,0.00024753448,0.00002487189],"category_scores_gemma":[0.00017717153,0.00043106716,0.00008383446,0.0007353461,0.00016892861,0.00039068153,0.00011838118,0.00043553303,0.00014019701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014328844,0.00007724845,0.003019415,0.000021044096,0.00003723887,0.0000052363735,0.00011551101,0.9946753,0.000107638145,0.00037362162,0.00016833383,0.001385124],"study_design_scores_gemma":[0.0011339594,0.000031870873,0.00026233864,0.0002555769,0.000033014807,0.000021121696,0.00041447303,0.99586624,0.00023085163,0.00045627033,0.0008175159,0.0004767908],"about_ca_topic_score_codex":0.00021390969,"about_ca_topic_score_gemma":0.0013991527,"teacher_disagreement_score":0.9653556,"about_ca_system_score_codex":0.00066413573,"about_ca_system_score_gemma":0.00023363512,"threshold_uncertainty_score":0.9998141},"labels":[],"label_agreement":null},{"id":"W2291019833","doi":"10.1109/acssc.2015.7421338","title":"Per-user outage-constrained power loading technique for robust MISO downlink","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Computer science; MIMO; Outage probability; Computational complexity theory; Iterative method; Channel (broadcasting); Mathematical optimization; Power (physics); Power control; Algorithm; Control theory (sociology); Real-time computing; Mathematics; Control (management); Fading; Telecommunications","score_opus":0.01945767668155878,"score_gpt":0.23803200914047312,"score_spread":0.21857433245891433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291019833","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":[0.00026698026,0.00008027922,0.9760782,0.000058981015,0.00034032267,0.00084974273,0.000013447507,0.0008256087,0.021486407],"genre_scores_gemma":[0.3675311,0.0000030807673,0.62873065,0.00004302688,0.00010339519,0.00026101535,0.0000264463,0.00008014002,0.0032211752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924,0.000009148759,0.00024708445,0.00017515132,0.0000730713,0.00025556446],"domain_scores_gemma":[0.99951166,0.00003897338,0.000030603365,0.00021481143,0.00008654635,0.00011737956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001532968,0.00016635844,0.00017874468,0.000094559626,0.000028707535,0.000031187094,0.00010912595,0.0001327479,0.00008310551],"category_scores_gemma":[0.000061033847,0.00015923494,0.000052763848,0.00010575325,0.000019029347,0.00023648416,0.000016350657,0.000089868045,0.00004087029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021016702,0.00002002936,0.00010980844,0.00010018358,0.000039792405,0.000003222792,0.0004489944,0.9351871,0.054917358,0.0019098553,0.006746293,0.0004963433],"study_design_scores_gemma":[0.004393158,0.00035991613,0.000019782963,0.00024608322,0.00007043024,0.00014059106,0.0032066037,0.7450178,0.17034811,0.001188185,0.072956145,0.0020531907],"about_ca_topic_score_codex":0.0000019917595,"about_ca_topic_score_gemma":0.0000035961364,"teacher_disagreement_score":0.36726412,"about_ca_system_score_codex":0.0000887052,"about_ca_system_score_gemma":0.000019894209,"threshold_uncertainty_score":0.6493412},"labels":[],"label_agreement":null},{"id":"W2291289658","doi":"10.22215/etd/2007-07535","title":"Interference in cellular networks: sum of lognormals modeling","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; University of Ottawa","funders":"","keywords":"Interference (communication); Computer science; Telecommunications; Channel (broadcasting)","score_opus":0.012193989277836754,"score_gpt":0.24919123583343536,"score_spread":0.23699724655559862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291289658","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":[0.015859595,0.0014681421,0.964529,2.223458e-7,0.0014077005,0.00020064968,0.0000017358868,0.00012495278,0.016407996],"genre_scores_gemma":[0.9934854,0.00027152986,0.004907081,0.0000015628854,0.000065752276,0.000014810483,0.00042387517,0.0000635457,0.00076645205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989238,0.0000105625695,0.0006062835,0.00015838379,0.0000779061,0.00022308386],"domain_scores_gemma":[0.9995862,0.000036347807,0.00008124908,0.00017855996,0.00008648717,0.000031134154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015320731,0.00020341703,0.00032864703,0.00028095627,0.000008150106,0.000008051324,0.00013709562,0.00031543907,0.000040243416],"category_scores_gemma":[0.000021673763,0.00022536458,0.000044915065,0.00023534014,0.000004416601,0.00013070324,0.00000800795,0.0002492988,0.0000046677637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000104903,0.000006015252,0.00002715972,0.00029422023,0.000010850452,0.0000029145135,0.0002139217,0.9973593,0.0009873834,0.000108432716,0.000018332426,0.0009610113],"study_design_scores_gemma":[0.00010222157,0.000007660701,0.0000049491637,0.0005005428,0.00000813317,3.2286573e-7,0.00052609015,0.9936159,0.0049947277,0.000037720398,0.000005573935,0.00019611458],"about_ca_topic_score_codex":0.00007136166,"about_ca_topic_score_gemma":0.00083459803,"teacher_disagreement_score":0.9776258,"about_ca_system_score_codex":0.00007377902,"about_ca_system_score_gemma":0.0000124383,"threshold_uncertainty_score":0.9190101},"labels":[],"label_agreement":null},{"id":"W2291446608","doi":"10.1109/glocom.2015.7417346","title":"A Novel Massive MIMO Precoding Scheme for Next Generation Heterogeneous Networks","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Communications Research Centre Canada","funders":"","keywords":"Precoding; MIMO; Computer science; Heterogeneous network; Base station; Channel state information; Computer network; Zero-forcing precoding; Quality of service; Cellular network; Scheme (mathematics); Interference (communication); Channel (broadcasting); Wireless; Wireless network; Telecommunications; Mathematics","score_opus":0.16808330798188822,"score_gpt":0.32214293676195266,"score_spread":0.15405962878006443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291446608","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":[0.002324403,0.0021000172,0.9890348,0.0003075929,0.0010773672,0.0010188606,0.00017868025,0.0004992591,0.003459053],"genre_scores_gemma":[0.82044756,0.00037836557,0.17788361,0.00006846054,0.0002184874,0.00042380881,0.00045652152,0.000046257388,0.00007693147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983735,0.00008360873,0.0005834341,0.00032640932,0.00017551555,0.00045754868],"domain_scores_gemma":[0.99708766,0.00008541831,0.0001915561,0.0015955393,0.00078275293,0.00025705184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002862345,0.0003330589,0.00034639452,0.000071467315,0.00024800713,0.00023787924,0.0010429708,0.00023463382,0.000013934306],"category_scores_gemma":[0.00013091404,0.00038689558,0.00009803583,0.0003548234,0.000097772696,0.00066735514,0.00017221198,0.0002139101,0.000053661977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016588448,0.00007920284,0.0001440176,0.000029497405,0.00009128141,5.0335024e-7,0.00017001388,0.9736119,0.0039089094,0.005334539,0.011362209,0.005251319],"study_design_scores_gemma":[0.000792996,0.000045221408,0.000010036316,0.000059320948,0.00003519331,0.00002416009,0.00016131782,0.9905146,0.00039425862,0.00032403265,0.0072425026,0.0003963912],"about_ca_topic_score_codex":0.00008141818,"about_ca_topic_score_gemma":0.00077523425,"teacher_disagreement_score":0.81812316,"about_ca_system_score_codex":0.00065430294,"about_ca_system_score_gemma":0.00015599327,"threshold_uncertainty_score":0.9998583},"labels":[],"label_agreement":null},{"id":"W2291498635","doi":"10.1109/acssc.2015.7421341","title":"Minimum probability of error multiuser transmit beamforming","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Beamforming; Computer science; Telecommunications link; Signal-to-noise ratio (imaging); Mathematical optimization; Function (biology); Optimization problem; Probability of error; Algorithm; Control theory (sociology); Mathematics; Telecommunications; Artificial intelligence","score_opus":0.042115216780225985,"score_gpt":0.25543452177237297,"score_spread":0.213319304992147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291498635","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":[0.11023437,0.00007567568,0.87793237,0.000013880918,0.00018313236,0.00030930404,0.000003791941,0.00029617062,0.010951295],"genre_scores_gemma":[0.8651449,0.0000013661448,0.13453941,0.000003999445,0.00001876684,0.000014875105,0.000003411082,0.000018724271,0.00025456576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946916,0.000008275239,0.00023336319,0.00008884202,0.000080950405,0.00011940572],"domain_scores_gemma":[0.9996592,0.000016867234,0.00002141605,0.00016694561,0.000072979434,0.00006260124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011867741,0.00008187587,0.00013325532,0.00003489375,0.000007831502,0.0000032270573,0.000064967746,0.000049809798,0.000020145837],"category_scores_gemma":[0.000035177738,0.00007449893,0.000028667524,0.00010500052,0.000017027458,0.00019424094,0.0000068572635,0.000042350464,0.000011651302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076058836,0.000020674732,0.00058286585,0.0001433159,0.000012183142,3.40657e-7,0.0010459395,0.9922769,0.004211436,0.00019661349,0.00020128832,0.0013008082],"study_design_scores_gemma":[0.0011803699,0.000059976155,0.00013916845,0.000054556764,0.000017187795,0.0000050923663,0.00069041934,0.94013834,0.054043755,0.0008207123,0.0025393842,0.00031105225],"about_ca_topic_score_codex":0.00001663391,"about_ca_topic_score_gemma":0.000033777815,"teacher_disagreement_score":0.7549105,"about_ca_system_score_codex":0.000052267187,"about_ca_system_score_gemma":0.000012327041,"threshold_uncertainty_score":0.3037978},"labels":[],"label_agreement":null},{"id":"W2291599523","doi":"10.1109/iscc.2015.7405618","title":"Analytical evaluation of outage probability based on signal to interference ratio for Gaussian-distributed users","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Probability density function; Computer science; Base station; Gaussian; Interference (communication); Wireless; Signal-to-interference ratio; Coverage probability; Outage probability; SIGNAL (programming language); Probability distribution; Real-time computing; Algorithm; Telecommunications; Statistics; Mathematics; Decoding methods; Fading; Physics","score_opus":0.07901415122195918,"score_gpt":0.31429351814348583,"score_spread":0.23527936692152665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291599523","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":[0.015153211,0.0000040060413,0.9822639,0.00005858965,0.00008997279,0.0010682452,0.00005197626,0.00010680118,0.0012032894],"genre_scores_gemma":[0.9772581,6.3261e-8,0.022445595,0.000016520187,0.000019948517,0.00012952607,0.00009617033,0.000013329545,0.000020755775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991387,0.000049619397,0.00028415633,0.00016245169,0.00023690714,0.00012815611],"domain_scores_gemma":[0.9991119,0.0000759478,0.00003421816,0.0002061303,0.00046787556,0.00010391663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006903146,0.00010287338,0.00015455078,0.00007291812,0.000011923824,0.000013145833,0.000076546436,0.000053712203,0.000053586507],"category_scores_gemma":[0.00054080284,0.000094449206,0.0000334108,0.00019415597,0.00001370273,0.000105267114,0.000008067762,0.000042642867,0.0000083098785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059569626,0.000026583015,0.00030262768,0.000034464734,0.000009139103,5.2568183e-8,0.00006843228,0.997513,0.00035837278,0.0004931217,0.00051477336,0.00061983766],"study_design_scores_gemma":[0.0007064768,0.0001708485,0.00016528879,0.000032083262,0.000029347617,1.19125474e-7,0.000065358436,0.9906349,0.007720781,0.00034145586,0.000034237735,0.000099086115],"about_ca_topic_score_codex":0.0000044822664,"about_ca_topic_score_gemma":0.000025513107,"teacher_disagreement_score":0.96210486,"about_ca_system_score_codex":0.00036607878,"about_ca_system_score_gemma":0.00008031076,"threshold_uncertainty_score":0.38515267},"labels":[],"label_agreement":null},{"id":"W2291881113","doi":"10.1109/acssc.2015.7421385","title":"Can interference alignment impact network utility maximization?","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Initialization; Base station; Maximization; Interference (communication); Optimization problem; Channel state information; Cellular network; Network topology; Heterogeneous network; Mathematical optimization; Wireless network; Channel (broadcasting); Computer network; Wireless; Algorithm; Telecommunications; Mathematics","score_opus":0.023391004173895467,"score_gpt":0.2540970257352734,"score_spread":0.2307060215613779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291881113","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":[0.0028928427,0.00011277916,0.97398627,0.000028967967,0.00040612297,0.00017303466,0.00000568511,0.00043719067,0.021957124],"genre_scores_gemma":[0.9879515,0.00000971261,0.011565458,0.000019957253,0.00008812366,0.000014014759,0.000024511068,0.000021178992,0.00030554287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994042,0.000019431887,0.0001804563,0.00011477652,0.000080760736,0.0002003658],"domain_scores_gemma":[0.99955255,0.0000122179,0.000021816168,0.00021742919,0.00006200432,0.00013395802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011392443,0.0001149057,0.00011674982,0.000024384615,0.000019424995,0.00002299437,0.000086971464,0.000042627762,0.00013027799],"category_scores_gemma":[0.000022259594,0.000101101716,0.000024074348,0.00015889827,0.000010835866,0.00012548002,0.00002490427,0.000051053932,0.000034541663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035760877,0.0000047107214,0.0036541661,0.000005951273,0.000013327343,6.2861375e-7,0.00013386601,0.9877617,0.000014834025,0.00025036023,0.00732162,0.0008352728],"study_design_scores_gemma":[0.0002708206,0.000035763893,0.0008409408,0.000020664098,0.0000064977585,0.000005610422,0.0001181273,0.9959345,0.00036443523,0.001644658,0.0005637047,0.0001942826],"about_ca_topic_score_codex":0.00006395626,"about_ca_topic_score_gemma":0.00008489803,"teacher_disagreement_score":0.98505867,"about_ca_system_score_codex":0.00021393066,"about_ca_system_score_gemma":0.000023257217,"threshold_uncertainty_score":0.41228083},"labels":[],"label_agreement":null},{"id":"W2292895141","doi":"10.1109/glocom.2015.7417366","title":"A Local Search Algorithm for Resource Allocation for Underlaying Device-to-Device Communications","year":2015,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; Queen's University","funders":"","keywords":"Computer science; Resource allocation; Telecommunications link; Heuristic; Mathematical optimization; Resource management (computing); Algorithm; Cellular network; Greedy algorithm; Local search (optimization); Resource (disambiguation); Interference (communication); Distributed computing; Computer network; Mathematics","score_opus":0.14070713078502664,"score_gpt":0.3676536604089858,"score_spread":0.22694652962395914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292895141","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":[0.00018386773,0.0014261627,0.98401743,0.0030098942,0.00027759097,0.002652375,0.0005462701,0.0006519243,0.0072345124],"genre_scores_gemma":[0.5515615,0.00019393026,0.4452336,0.00026623512,0.0000716667,0.0014709538,0.0009667121,0.00007417463,0.00016122776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975605,0.0002596429,0.0008026034,0.00042826936,0.00030733796,0.00064165524],"domain_scores_gemma":[0.9930991,0.00053771905,0.00016276543,0.003940512,0.0017942103,0.00046569842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009940895,0.00039182827,0.00045837098,0.00017101361,0.0005700537,0.0002100538,0.0030588766,0.00024884066,0.0000056639014],"category_scores_gemma":[0.00022213651,0.00047103802,0.00012365024,0.00088018563,0.00025543946,0.0005275289,0.0004942633,0.000311223,0.00013160206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000086756285,0.00043012647,0.00018718636,0.0002894116,0.00033143035,5.3932405e-7,0.0025037264,0.5311049,0.00055767637,0.053173475,0.054107912,0.35722685],"study_design_scores_gemma":[0.0010143457,0.00009168574,0.000026936379,0.00013527385,0.00006595355,0.000010193415,0.0029271443,0.87429845,0.00017173152,0.001436495,0.11934503,0.0004767286],"about_ca_topic_score_codex":0.00029242702,"about_ca_topic_score_gemma":0.001683798,"teacher_disagreement_score":0.55137765,"about_ca_system_score_codex":0.0012630058,"about_ca_system_score_gemma":0.0004334617,"threshold_uncertainty_score":0.99977416},"labels":[],"label_agreement":null},{"id":"W2293448163","doi":"","title":"Green Handover with a Hybrid Satisfaction Mechanism","year":2013,"lang":"en","type":"article","venue":"Qatar University QSpace (Qatar University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Handover; Computer science; Battery (electricity); Energy consumption; Wireless; Computer network; Operator (biology); Mechanism (biology); Reduction (mathematics); Interference (communication); Distributed computing; Telecommunications; Electrical engineering; Engineering; Power (physics)","score_opus":0.00387566965871588,"score_gpt":0.13563661415111222,"score_spread":0.13176094449239634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293448163","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":[0.22489373,0.0000337137,0.75524217,0.0002927746,0.00029724702,0.00093510374,0.00013605865,0.0013438178,0.01682541],"genre_scores_gemma":[0.96779656,0.00014132024,0.011329949,0.000025080344,0.000058272417,4.5788119e-7,0.00008647325,0.00006701782,0.020494876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988802,0.000056789126,0.0000946554,0.00038441733,0.00019128971,0.00039266289],"domain_scores_gemma":[0.9990854,0.000037589303,0.000079262216,0.00042742532,0.00015301564,0.00021731076],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004108519,0.0002926592,0.00026235625,0.0005120781,0.00026653684,0.000036266687,0.00030381372,0.000116064875,0.00034093458],"category_scores_gemma":[0.000005430917,0.00035307795,0.000073060764,0.00064111553,0.00007815702,0.0019366188,0.000108112814,0.00024272125,0.0003214896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013484316,0.00035061364,0.02491986,0.0011776254,0.0029265364,0.00450691,0.005759636,0.7885466,0.026621431,0.0776043,0.047232315,0.019005748],"study_design_scores_gemma":[0.029413745,0.0015172109,0.015522701,0.00096626044,0.0018109184,0.00042024208,0.043376427,0.2692957,0.023962764,0.0016532121,0.60284203,0.009218785],"about_ca_topic_score_codex":0.004301146,"about_ca_topic_score_gemma":0.0022395793,"teacher_disagreement_score":0.7439122,"about_ca_system_score_codex":0.0006807393,"about_ca_system_score_gemma":0.000045912297,"threshold_uncertainty_score":0.9998921},"labels":[],"label_agreement":null},{"id":"W2294547139","doi":"10.1109/twc.2015.2489215","title":"Joint Power Coordination for Spectral-and-Energy Efficiency in Heterogeneous Small Cell Networks: A Bargaining Game-Theoretic Perspective","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Overhead (engineering); Efficient energy use; Spectral efficiency; Interference (communication); Small cell; Distributed computing; Cellular network; Heterogeneous network; Software deployment; Computer network; Exploit; Wireless network; Wireless; Telecommunications; Computer security; Channel (broadcasting); Engineering; Electrical engineering","score_opus":0.020802090469933646,"score_gpt":0.23840229553245382,"score_spread":0.21760020506252017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294547139","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":[0.006214314,0.0009311151,0.98937,0.00013490788,0.00021590177,0.00040466583,0.00001988726,0.00028446413,0.002424779],"genre_scores_gemma":[0.9893657,0.0004916454,0.009453783,0.000028502966,0.000016292695,0.00046503154,0.000013987419,0.00007559101,0.00008945627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998855,0.00011848665,0.00039163037,0.00025361855,0.00009084874,0.0002904041],"domain_scores_gemma":[0.9986443,0.00022885167,0.00007597677,0.0007353804,0.0001973899,0.00011808111],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021949089,0.00022313219,0.00025325903,0.00030849138,0.00016505254,0.000046286466,0.00029565656,0.0001268017,0.0000045984707],"category_scores_gemma":[0.000012837115,0.00026154422,0.00007812561,0.0004341236,0.00011201879,0.00015696649,0.0000053296235,0.00027565195,0.0000036583488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017556926,0.0001425275,0.0000034820355,0.000012324012,0.000019209303,6.8649086e-7,0.0019275256,0.98799497,0.0005598543,0.008008738,0.000008803956,0.0013043366],"study_design_scores_gemma":[0.00091920147,0.0001261816,0.000005372307,0.00007489589,0.00002894084,0.0000127172,0.0015415605,0.9919873,0.003720678,0.0012276443,0.000077227065,0.00027829024],"about_ca_topic_score_codex":0.000075705946,"about_ca_topic_score_gemma":0.0003883669,"teacher_disagreement_score":0.9831514,"about_ca_system_score_codex":0.00049467117,"about_ca_system_score_gemma":0.00004188332,"threshold_uncertainty_score":0.99998367},"labels":[],"label_agreement":null},{"id":"W2294822015","doi":"10.1109/wcnc.2015.7127567","title":"Adaptive power allocation for chase combining HARQ based low-complexity MIMO systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematical optimization; Computer science; MIMO; Geometric programming; Optimization problem; Convex optimization; Network packet; Power (physics); Regular polygon; Mathematics","score_opus":0.05245245398463885,"score_gpt":0.2566827189053366,"score_spread":0.20423026492069776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294822015","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":[0.0016659574,0.00013596493,0.99104697,0.000036979814,0.0008257524,0.0008757104,0.000025163303,0.00062225614,0.004765274],"genre_scores_gemma":[0.9570984,7.0744767e-7,0.042195745,0.000032616565,0.000070349415,0.00020162594,0.00009456304,0.000055542925,0.00025043078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912745,0.000027095817,0.0002953056,0.00018845855,0.00013105852,0.00023065267],"domain_scores_gemma":[0.99924195,0.00006582656,0.000061163504,0.00024050799,0.00025985902,0.00013069662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002463844,0.00016744046,0.0002077424,0.00008700978,0.00004854321,0.000040704403,0.00009901935,0.00008372419,0.000014153593],"category_scores_gemma":[0.00007000331,0.00017212318,0.000039476603,0.00014145176,0.000022038594,0.00027622737,0.000010714241,0.00006428605,0.00004334092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031208852,0.000025890273,0.000013510257,0.00009369056,0.000016473856,7.0867117e-7,0.00020710472,0.9872847,0.0006391502,0.009705198,0.00184519,0.00013713396],"study_design_scores_gemma":[0.0009373231,0.00008000272,0.000007758393,0.0000707491,0.0000092854525,0.0000018946276,0.00068314665,0.9955661,0.0016031684,0.00023763525,0.0005849488,0.00021795492],"about_ca_topic_score_codex":0.00004405628,"about_ca_topic_score_gemma":0.000017706769,"teacher_disagreement_score":0.9554325,"about_ca_system_score_codex":0.00021579502,"about_ca_system_score_gemma":0.000036565845,"threshold_uncertainty_score":0.701898},"labels":[],"label_agreement":null},{"id":"W2294843183","doi":"10.1109/wcnc.2015.7127564","title":"Joint access point selection and linear precoding game for MIMO multiple-access channels","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Potential game; Precoding; Mathematical optimization; MIMO; Nash equilibrium; Computer science; Convergence (economics); Interference (communication); Mathematics; Algorithm; Telecommunications; Beamforming","score_opus":0.07653932553827227,"score_gpt":0.3046650079737523,"score_spread":0.22812568243548004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2294843183","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":[0.029275661,0.00009828882,0.9679517,0.000049869785,0.00065953634,0.0007544374,0.000005582673,0.0005385934,0.0006663261],"genre_scores_gemma":[0.97107995,0.000027729558,0.028053287,0.000024798626,0.0002982361,0.00016993623,0.000017524397,0.000057450667,0.00027110128],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992286,0.0000127653675,0.00025344285,0.00020572143,0.000072736315,0.00022673338],"domain_scores_gemma":[0.9995339,0.000046849505,0.000050019513,0.00010515569,0.00014705506,0.0001170435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017273104,0.00015179571,0.00018649342,0.00011753071,0.00004128577,0.0001338039,0.00009958192,0.000081591366,0.000010950441],"category_scores_gemma":[0.00012999286,0.0001493225,0.000028363202,0.00016116693,0.00000826847,0.0011023569,0.000056754572,0.00006990378,0.000004747585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016512524,0.000008598179,0.00060547935,0.00014728722,0.00001911338,2.655588e-7,0.0002590683,0.99496573,0.0021038745,0.000056811095,0.00069062033,0.001126663],"study_design_scores_gemma":[0.00074613636,0.000037782378,0.00007378257,0.000040550647,0.000008702621,0.000009613045,0.00006664937,0.9602037,0.03763578,0.00020900845,0.00077437906,0.00019390883],"about_ca_topic_score_codex":0.000043408192,"about_ca_topic_score_gemma":0.00006886215,"teacher_disagreement_score":0.9418043,"about_ca_system_score_codex":0.00010941651,"about_ca_system_score_gemma":0.000012431198,"threshold_uncertainty_score":0.6089195},"labels":[],"label_agreement":null},{"id":"W2295212900","doi":"10.1109/twc.2015.2503747","title":"Multichannel Analysis of Cell Range Expansion and Resource Partitioning in Two-Tier Heterogeneous Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Computer science; Heterogeneous network; Cellular network; Orthogonal frequency-division multiple access; Macro; Resource allocation; Base station; Computer network; Interference (communication); Distributed computing; Orthogonal frequency-division multiplexing; Wireless network; Wireless; Channel (broadcasting); Telecommunications","score_opus":0.023902928579962693,"score_gpt":0.24986907172546635,"score_spread":0.22596614314550367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295212900","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":[0.14804254,0.0008831947,0.8504314,0.000019797684,0.000073227304,0.00022272859,0.000019858437,0.00011603862,0.00019119978],"genre_scores_gemma":[0.99395216,0.00044855676,0.005353694,0.00001136877,0.000007995205,0.00011737639,0.00004162226,0.000037757196,0.000029446954],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896264,0.00015260617,0.00042347537,0.00016857342,0.00011363844,0.00017909137],"domain_scores_gemma":[0.99865985,0.00017355871,0.00007950438,0.00090409187,0.00008357713,0.00009942852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019024852,0.00015520722,0.00030311584,0.0004743664,0.0001176474,0.000018414741,0.00023341732,0.000082589795,0.0000054531856],"category_scores_gemma":[0.000003322401,0.00018400767,0.000078828925,0.0009882738,0.000081562976,0.00015020535,0.000005483467,0.00024804985,0.0000025356157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012219608,0.00010087125,0.00012125716,0.000015229532,0.000085497915,8.11718e-7,0.0014694108,0.9943238,0.0025284037,0.00001262516,0.000004016826,0.0013258888],"study_design_scores_gemma":[0.0006217106,0.000019067118,0.000035302528,0.000054570424,0.0001939362,0.0000011719789,0.00042238142,0.9882121,0.0102346875,0.0000076240203,0.00003883293,0.00015861019],"about_ca_topic_score_codex":0.00015256983,"about_ca_topic_score_gemma":0.0011408742,"teacher_disagreement_score":0.84590966,"about_ca_system_score_codex":0.000106287385,"about_ca_system_score_gemma":0.000011777795,"threshold_uncertainty_score":0.7503615},"labels":[],"label_agreement":null},{"id":"W2295585674","doi":"10.1109/wcnc.2015.7127491","title":"Non-linear vector-perturbation precoding for multi-user downlink under quantized CSI","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Telecommunications link; Transmitter; Quantization (signal processing); Channel state information; Computer science; Algorithm; Bit error rate; Channel (broadcasting); Control theory (sociology); Vector quantization; Zero-forcing precoding; Mean squared error; Mathematics; MIMO; Electronic engineering; Telecommunications; Decoding methods; Statistics; Wireless; Engineering; Artificial intelligence","score_opus":0.0646816045078821,"score_gpt":0.29926168323414737,"score_spread":0.23458007872626527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295585674","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":[0.003353244,0.00008604959,0.9932415,0.000052182204,0.0007886358,0.0006309069,0.000005985231,0.00055965,0.0012818296],"genre_scores_gemma":[0.52934265,0.000014953669,0.46337777,0.00006361339,0.00028396744,0.0001377553,0.00009046411,0.00009377572,0.0065950425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992336,0.000010837579,0.00028255122,0.00017295123,0.00009094449,0.00020908589],"domain_scores_gemma":[0.99947226,0.000059824702,0.00004323076,0.00018148113,0.00015463076,0.00008854447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017489372,0.00015073344,0.00018076687,0.00007358546,0.00003921295,0.00002666173,0.00008123097,0.000108498665,0.000015518572],"category_scores_gemma":[0.00010398925,0.0001411224,0.000046457386,0.00012546347,0.000008425943,0.00033294605,0.000013206023,0.00006632772,0.000059793005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017446057,0.000014867425,0.00009932084,0.000058453777,0.000026853286,2.0283173e-7,0.0002715483,0.9918022,0.0042113285,0.0018069446,0.0014443108,0.00024651052],"study_design_scores_gemma":[0.0016218456,0.000025527184,0.00005168988,0.000025881822,0.0000119310525,0.0000014180746,0.0001733434,0.98828644,0.006971711,0.00009513436,0.0025328132,0.0002022601],"about_ca_topic_score_codex":0.000010609179,"about_ca_topic_score_gemma":0.00002838978,"teacher_disagreement_score":0.5298637,"about_ca_system_score_codex":0.00015187937,"about_ca_system_score_gemma":0.000019330508,"threshold_uncertainty_score":0.5754804},"labels":[],"label_agreement":null},{"id":"W2296002945","doi":"10.1109/wcnc.2015.7127605","title":"5G access-link provisioning and coordination: Tradeoff between proactive and reactive strategies","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Provisioning; Computer network; Quality of service; Telecommunications link; Resilience (materials science); Quality of experience; Power control; Imperfect; Next-generation network; Metric (unit); Service (business); Distributed computing; Power (physics); The Internet; Engineering","score_opus":0.038127397449455286,"score_gpt":0.2849295901794691,"score_spread":0.24680219273001383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296002945","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":[0.09711885,0.00048416905,0.83168304,0.00031741677,0.00013977832,0.000908694,0.000009498415,0.0006306991,0.068707876],"genre_scores_gemma":[0.9922381,0.000011894851,0.007389805,0.0000040259065,0.00010373573,0.000028883363,0.000012278437,0.000023323952,0.00018794311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999464,0.000017683658,0.00014519093,0.00016775809,0.00008383054,0.0001215824],"domain_scores_gemma":[0.9996556,0.0000576661,0.000036363013,0.00008079841,0.00008163602,0.00008790376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010276351,0.000121443125,0.00014927537,0.00007039397,0.000045517307,0.00014875842,0.000050540202,0.00006926788,0.0000025063312],"category_scores_gemma":[0.000037393125,0.00011083402,0.0000075607404,0.00012356004,0.000033129672,0.0016847345,0.00002423817,0.00010088028,0.0000015286132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016416935,0.00008865606,0.05420858,0.0010771215,0.000990144,0.00003194506,0.034962136,0.4979316,0.010380017,0.04125471,0.0034092423,0.35550165],"study_design_scores_gemma":[0.0079505835,0.0008857898,0.07861739,0.000501664,0.00030659104,0.00013195652,0.046556942,0.7650065,0.055204656,0.034851763,0.006878952,0.00310722],"about_ca_topic_score_codex":0.000021408152,"about_ca_topic_score_gemma":0.000008329862,"teacher_disagreement_score":0.89511925,"about_ca_system_score_codex":0.000060895316,"about_ca_system_score_gemma":0.000027828353,"threshold_uncertainty_score":0.45196804},"labels":[],"label_agreement":null},{"id":"W2296036167","doi":"10.1109/ausctw.2016.7433608","title":"Provably near optimal link scheduling and power control for wireless device-to-device networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Wireless network; Scheduling (production processes); Wireless; Power control; Radio resource management; Signal-to-interference-plus-noise ratio; Computer network; Interference (communication); Distributed computing; Power (physics); Telecommunications; Mathematical optimization; Mathematics","score_opus":0.007405733450852056,"score_gpt":0.22312433519596903,"score_spread":0.21571860174511698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296036167","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":[0.021579867,0.00032205644,0.9758202,0.0002627215,0.00025062106,0.00093826104,0.000007496208,0.00040157363,0.00041722518],"genre_scores_gemma":[0.85653234,0.000015684505,0.14273635,0.00013734541,0.00017867333,0.00009134902,0.0000025804827,0.00006988407,0.00023577332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905807,0.000012185752,0.00026807416,0.00024436877,0.00006724819,0.0003500649],"domain_scores_gemma":[0.99935806,0.00016067279,0.000037596626,0.00018701708,0.0001235401,0.00013309614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001547574,0.00018573659,0.00023542804,0.000045275192,0.00007852496,0.00006196401,0.00009287905,0.00012403415,0.000018806551],"category_scores_gemma":[0.000050577346,0.00014107398,0.000034866793,0.000111772904,0.000020517738,0.00028618655,0.000022422115,0.000067849476,0.000021073465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036245307,0.000004288105,0.00013835075,0.000049457154,0.00003788875,7.989519e-7,0.00007545095,0.98180073,0.0034650373,0.0003780728,0.00009633687,0.013917341],"study_design_scores_gemma":[0.0013682059,0.00007357315,0.000052071042,0.00013291073,0.000016486112,0.000004358319,0.000042451225,0.99482816,0.00056816585,0.000010518043,0.0026441782,0.00025892546],"about_ca_topic_score_codex":0.0000031951179,"about_ca_topic_score_gemma":0.000008442727,"teacher_disagreement_score":0.8349525,"about_ca_system_score_codex":0.000054995537,"about_ca_system_score_gemma":0.000014501024,"threshold_uncertainty_score":0.575283},"labels":[],"label_agreement":null},{"id":"W2307882650","doi":"10.1109/iccnc.2016.7440646","title":"Design of uniquely factorable hexagonal constellations for noncoherent SIMO systems","year":2016,"lang":"en","type":"article","venue":"2016 International Conference on Computing, Networking and Communications (ICNC)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Hexagonal crystal system; Transmitter; Quadrature amplitude modulation; Constellation; QAM; Topology (electrical circuits); Coding (social sciences); Mathematics; Transmission (telecommunications); Lattice (music); Coding gain; Algorithm; Electronic engineering; Computer science; Bit error rate; Acoustics; Decoding methods; Telecommunications; Physics; Combinatorics; Engineering; Channel (broadcasting)","score_opus":0.08938471526816613,"score_gpt":0.29646413002458005,"score_spread":0.20707941475641392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2307882650","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":[0.00080018863,0.0006451878,0.9865733,0.0002781649,0.0008250485,0.0005628313,0.000053149775,0.00018132775,0.010080794],"genre_scores_gemma":[0.9812091,0.0011551686,0.016930237,0.00001720402,0.00012032715,0.000064270964,0.00005061267,0.000031736217,0.00042132678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988213,0.00011521178,0.00050906866,0.00020400375,0.0001466929,0.00020373442],"domain_scores_gemma":[0.99777514,0.00094386487,0.00025333106,0.0005415779,0.00042180464,0.000064271146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030977002,0.00018796219,0.00024052778,0.0001425738,0.00015905828,0.00007205927,0.0005592271,0.000092222384,0.00002305191],"category_scores_gemma":[0.0000367282,0.00015893871,0.000045675562,0.000105349434,0.00013184389,0.00012899101,0.000112725065,0.00011630836,0.000008196814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005402337,0.000101315185,0.0009625799,0.00007052596,0.0002538526,3.3787535e-7,0.00035940704,0.7544882,0.003446151,0.1943919,0.002959225,0.04291244],"study_design_scores_gemma":[0.0005524194,0.00006784484,0.000061146624,0.000953825,0.000015373467,0.0000054182656,0.00009471343,0.98873544,0.00017432826,0.0015842998,0.0075374977,0.0002177016],"about_ca_topic_score_codex":0.00002311628,"about_ca_topic_score_gemma":0.000006457467,"teacher_disagreement_score":0.9804089,"about_ca_system_score_codex":0.00012122156,"about_ca_system_score_gemma":0.0000682237,"threshold_uncertainty_score":0.6481333},"labels":[],"label_agreement":null},{"id":"W2312824131","doi":"10.1109/access.2016.2537648","title":"Inflight Broadband Connectivity Using Cellular Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Cellular network; Broadband; Roaming; Computer network; Telecommunications; Broadband networks; Beamforming; Channel (broadcasting)","score_opus":0.020379722847714915,"score_gpt":0.25619966325222754,"score_spread":0.23581994040451262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312824131","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":[0.2273189,0.00020762501,0.7704489,0.000006787223,0.0009408405,0.0001205487,0.0000027422811,0.00023368587,0.00071993616],"genre_scores_gemma":[0.9988351,0.000037552345,0.00063695683,0.000013735801,0.0003394806,0.000010497488,0.000001191108,0.000040978524,0.00008454168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993645,0.000019715775,0.00016746912,0.0001559755,0.00006965133,0.00022268156],"domain_scores_gemma":[0.99955815,0.00006744671,0.00004279344,0.0002328358,0.000043081414,0.000055681005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007543971,0.00012803738,0.00014698673,0.000056447047,0.00005140891,0.000051097264,0.0001724549,0.00008923018,0.000042594194],"category_scores_gemma":[0.000017150987,0.00010075277,0.000029138788,0.00016635322,0.000020707921,0.00080715923,0.000024666406,0.00006109461,0.000011793931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035991675,0.0000045680504,0.001963256,0.000017208624,0.000016230544,0.0000049791047,0.00001898556,0.93550843,0.05978641,0.00002664495,0.00028881498,0.002360857],"study_design_scores_gemma":[0.00078212586,0.000011042147,0.00036468156,0.00018936576,0.000023357854,0.000010406568,0.000004843318,0.7208564,0.27509084,0.00025873006,0.0019287076,0.00047945595],"about_ca_topic_score_codex":0.000017557488,"about_ca_topic_score_gemma":0.000015119753,"teacher_disagreement_score":0.77151614,"about_ca_system_score_codex":0.00010135178,"about_ca_system_score_gemma":0.000007267599,"threshold_uncertainty_score":0.41085786},"labels":[],"label_agreement":null},{"id":"W2314259142","doi":"10.1109/glocomw.2013.6855702","title":"A red-based discard strategy for unacknowledged mode RLC in LTE","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"RLC circuit; Telecommunications link; Computer science; Handover; Computer network; Wireless; Physical layer; Scheme (mathematics); Telecommunications; Engineering; Mathematics; Electrical engineering; Voltage","score_opus":0.01409614027233234,"score_gpt":0.25091981417705106,"score_spread":0.23682367390471873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314259142","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":[0.009550503,0.000047757967,0.9781276,0.000036892194,0.00013745578,0.0007133923,0.0000055608784,0.0003145279,0.011066313],"genre_scores_gemma":[0.9713206,0.0000028847157,0.027344348,0.000009837611,0.000040463263,0.00035693898,0.000023948438,0.00003950518,0.00086144137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994501,0.0000094386005,0.00019068904,0.00012286495,0.000038738188,0.00018820635],"domain_scores_gemma":[0.99969757,0.00003594867,0.000014979855,0.00015527073,0.00005505915,0.000041153893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041162537,0.00010500103,0.00013150944,0.00007571033,0.000014648364,0.00002248455,0.00006597932,0.00005921026,0.00007857357],"category_scores_gemma":[0.000020836731,0.000098571036,0.000031413005,0.00011350799,0.000007135443,0.00020693876,0.0000053409185,0.000049907536,0.000061991406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026809985,0.000008635723,0.00013628318,0.00005959114,0.0000040003583,1.8683967e-7,0.00003304411,0.99467814,0.0026050457,0.00045971357,0.0010925104,0.0009201934],"study_design_scores_gemma":[0.0005305406,0.000016223918,0.00014494071,0.000025076235,0.0000024406481,2.071906e-7,0.00006379058,0.9943037,0.0038661296,0.0007027318,0.0002143222,0.00012987443],"about_ca_topic_score_codex":0.000054568987,"about_ca_topic_score_gemma":0.0003497318,"teacher_disagreement_score":0.9617701,"about_ca_system_score_codex":0.00009116254,"about_ca_system_score_gemma":0.0000125062425,"threshold_uncertainty_score":0.40196103},"labels":[],"label_agreement":null},{"id":"W2317055323","doi":"10.1109/tvt.2015.2416714","title":"Uplink Achievable Rate and Power Allocation in Cooperative LTE-Advanced Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Power (physics); Computer science; LTE Advanced; Computer network; Electronic engineering; Engineering; Physics","score_opus":0.007808854829808219,"score_gpt":0.2177250368224395,"score_spread":0.20991618199263126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317055323","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09294537,0.0004538571,0.9050098,0.00017809132,0.00034489878,0.0003748812,0.0000021560695,0.00055778434,0.00013316925],"genre_scores_gemma":[0.9949173,0.00019152518,0.0045565492,0.00003090606,0.000008105003,0.00016512266,0.0000051370944,0.000043451742,0.00008195258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999159,0.00003557951,0.00024756583,0.00025437318,0.000058174053,0.00024530743],"domain_scores_gemma":[0.99953175,0.00002575474,0.000027597465,0.00026110752,0.00009422228,0.000059558435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014341112,0.00018421859,0.00021872704,0.0003681543,0.00006009463,0.000015610009,0.00009353484,0.00031125726,0.0000059169306],"category_scores_gemma":[0.000012140486,0.00019958803,0.000021143236,0.00067343627,0.00007011177,0.00023237916,0.0000015298558,0.00040991814,0.000019107258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020487172,0.000030257095,0.000012492723,0.000006943402,0.000019629158,0.000006661997,0.00009427101,0.990425,0.005384559,0.0002135657,0.000013197614,0.0037729398],"study_design_scores_gemma":[0.0011827571,0.00015802513,0.000014564025,0.000055595436,0.000013578307,0.00003015626,0.00030517223,0.9619305,0.035543267,0.00019357486,0.0003097859,0.00026303242],"about_ca_topic_score_codex":0.000007275121,"about_ca_topic_score_gemma":0.00008658248,"teacher_disagreement_score":0.9019719,"about_ca_system_score_codex":0.00016733063,"about_ca_system_score_gemma":0.000018643883,"threshold_uncertainty_score":0.81389636},"labels":[],"label_agreement":null},{"id":"W2319123600","doi":"10.1109/glocomw.2013.6855694","title":"Pairwise error probability evaluation of cooperative mobile femtocells","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Fading; Computer science; Femtocell; Computer network; Telecommunications link; Base station; Cellular network; Wireless; Pairwise error probability; Channel (broadcasting); Telecommunications","score_opus":0.0293731214263045,"score_gpt":0.26520591695070417,"score_spread":0.23583279552439967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319123600","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":[0.6122942,0.00022358316,0.35669428,0.0000131907445,0.00021750308,0.0044307183,0.0000069434664,0.00037448623,0.025745096],"genre_scores_gemma":[0.98801804,0.000003486764,0.010965791,0.0000043851915,0.000016069936,0.0006983418,0.000010334732,0.000016236692,0.00026733076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993061,0.000057749647,0.00024638983,0.000116214884,0.00016390048,0.00010967646],"domain_scores_gemma":[0.9991695,0.000030327557,0.000033881395,0.00020168825,0.00053001114,0.00003458649],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030627172,0.00009024532,0.00012796925,0.00003274241,0.000016391616,0.000009265765,0.000053293305,0.000048045342,0.0013427587],"category_scores_gemma":[0.000061787505,0.000078804725,0.000023185106,0.00013920182,0.000022593507,0.00028589956,0.000010494164,0.000042106098,0.00011968195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.53616e-7,0.000020086707,0.00015508287,0.000047389618,0.00000941609,1.7637984e-8,0.0002479243,0.9872891,0.008266328,0.00008390867,0.00054103445,0.0033388687],"study_design_scores_gemma":[0.0002863639,0.00003460696,0.00031868843,0.000013963209,0.000012613438,3.8736795e-7,0.00021098692,0.9674053,0.031082837,0.00048380365,0.00005031287,0.00010014456],"about_ca_topic_score_codex":0.000031329433,"about_ca_topic_score_gemma":0.000017685406,"teacher_disagreement_score":0.37572384,"about_ca_system_score_codex":0.00011039276,"about_ca_system_score_gemma":0.000023055787,"threshold_uncertainty_score":0.99957013},"labels":[],"label_agreement":null},{"id":"W2325190984","doi":"10.1109/glocomw.2013.6855737","title":"A mean-field game approach for distributed interference and resource management in heterogeneous cellular networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Macrocell; Computer science; Game theory; Interference (communication); Quality of service; Resource management (computing); Heterogeneous network; Resource allocation; Distributed computing; Computer network; Network topology; Field (mathematics); Mathematical optimization; Telecommunications; Mathematics; Wireless network; Base station; Wireless","score_opus":0.008665789523911019,"score_gpt":0.1929363756586378,"score_spread":0.1842705861347268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325190984","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":[0.004606552,0.00028493424,0.9919235,0.00000947284,0.00003266462,0.00074533053,0.000001855382,0.00013612218,0.0022595527],"genre_scores_gemma":[0.9692834,0.000029722374,0.030122137,0.00002460126,0.000020228585,0.00027999305,0.000047371705,0.000021311502,0.00017126031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994224,0.000009434515,0.0001801009,0.00016083154,0.00003379937,0.00019348002],"domain_scores_gemma":[0.9997467,0.000030853316,0.00001746237,0.0001498485,0.000014122463,0.000041058032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048765523,0.00010956273,0.000119455886,0.000047598016,0.000013502703,0.00003431656,0.00007711224,0.00006099277,0.000011751492],"category_scores_gemma":[0.000004709141,0.00010546605,0.000017204244,0.00009027363,0.0000073410674,0.00008709102,0.000038301645,0.00006182767,0.0000018814551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055593287,0.000008513141,0.000039411414,0.00008047272,0.000016167303,0.0000010947242,0.00007708721,0.99306065,0.00011706712,0.00025953096,0.00030957873,0.0060248845],"study_design_scores_gemma":[0.00029730247,0.00002267528,0.000014319016,0.00002026755,0.0000050904046,0.0000024051092,0.00017898616,0.9981994,0.00074568926,0.00007178551,0.00032027526,0.0001218017],"about_ca_topic_score_codex":0.000016490781,"about_ca_topic_score_gemma":0.000009687508,"teacher_disagreement_score":0.9646768,"about_ca_system_score_codex":0.000038136917,"about_ca_system_score_gemma":5.9579173e-7,"threshold_uncertainty_score":0.4300781},"labels":[],"label_agreement":null},{"id":"W2325466454","doi":"10.1109/tcomm.2016.2520458","title":"Optimal Power Allocation for Maximum Throughput of General MU-MIMO Multiple Access Channels With Mixed Constraints","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Throughput; MIMO; Computer science; Power (physics); Electronic engineering; Computer network; Max-min fairness; Channel (broadcasting); Mathematical optimization; Engineering; Resource allocation; Telecommunications; Mathematics; Wireless; Physics","score_opus":0.031902309385347306,"score_gpt":0.2768430419197617,"score_spread":0.24494073253441442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325466454","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":[0.00560474,0.000059179587,0.9915359,0.00035981854,0.00038654447,0.00088013115,0.0002910241,0.00027334178,0.0006093081],"genre_scores_gemma":[0.90489787,0.00018575299,0.09400746,0.0000153672,0.000018367835,0.00061346206,0.000029126591,0.000062819076,0.0001697589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998977,0.000064358246,0.00040284632,0.00020333167,0.000119814686,0.00023263552],"domain_scores_gemma":[0.9979504,0.00042955446,0.000112972666,0.0011655078,0.00027173702,0.00006986059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013525238,0.00020448299,0.00023305234,0.00016863101,0.00020817285,0.000028748622,0.0005873596,0.00010957283,0.000043853477],"category_scores_gemma":[0.000015362766,0.00017100888,0.000087313885,0.000271562,0.0002501012,0.0005315864,0.0000049589585,0.00012307848,0.000011688199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055019762,0.00018117674,0.000018722232,0.000042858137,0.00015114436,1.6339554e-7,0.0003414207,0.96746516,0.020340044,0.00045992216,0.00012703595,0.010817343],"study_design_scores_gemma":[0.006100247,0.00045704882,0.00020755419,0.0006520855,0.0002227553,0.000034997647,0.00058458163,0.579717,0.40744412,0.00048006247,0.002989878,0.0011096918],"about_ca_topic_score_codex":0.000020130732,"about_ca_topic_score_gemma":0.00017157472,"teacher_disagreement_score":0.8992931,"about_ca_system_score_codex":0.00012261608,"about_ca_system_score_gemma":0.000046421752,"threshold_uncertainty_score":0.69735396},"labels":[],"label_agreement":null},{"id":"W2328799675","doi":"10.1109/tvt.2015.2422784","title":"Network Configuration for Two-Tier Macro–Femto Systems With Hybrid Access","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Femtocell; Computer science; Base station; Computer network; Telecommunications link; Macro; Distributed computing; Process (computing)","score_opus":0.017179061669909224,"score_gpt":0.24561422018194246,"score_spread":0.22843515851203322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328799675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00566534,0.00036256292,0.98966664,0.00013387138,0.0012095002,0.0011780232,0.000030997202,0.0014767176,0.00027634704],"genre_scores_gemma":[0.99212426,0.000014763537,0.006438389,0.000029452729,0.0001056376,0.0009914804,0.000022547394,0.00009209981,0.000181378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988573,0.000025387244,0.0003081629,0.00029786208,0.00014063268,0.00037063795],"domain_scores_gemma":[0.9991527,0.000034637746,0.00007454925,0.0004215718,0.0002334296,0.00008306517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012867295,0.00024627984,0.00030097668,0.00028673798,0.00012769522,0.00006119391,0.00022999679,0.00020563616,0.00000538557],"category_scores_gemma":[0.000005585115,0.00023784449,0.00004702317,0.0005261416,0.000067975525,0.00030655987,0.0000011992964,0.00025887915,0.000028657052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004706077,0.000022416278,0.000007901388,0.00004975063,0.00007793124,0.000008796073,0.000023893992,0.99556935,0.000903567,0.00043399684,0.0004993921,0.0023559583],"study_design_scores_gemma":[0.0023766728,0.0003559226,0.0000014733859,0.00015480712,0.00011497937,0.00018745461,0.00016100188,0.91183144,0.07616804,0.00062513613,0.007486743,0.0005363246],"about_ca_topic_score_codex":0.000014504686,"about_ca_topic_score_gemma":0.000035187248,"teacher_disagreement_score":0.9864589,"about_ca_system_score_codex":0.00020564905,"about_ca_system_score_gemma":0.000038246737,"threshold_uncertainty_score":0.9699017},"labels":[],"label_agreement":null},{"id":"W2329630841","doi":"10.1109/jsac.2016.2545358","title":"Joint Chance-Constrained Predictive Resource Allocation for Energy-Efficient Video Streaming","year":2016,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Cisco Systems (Canada); Queen's University","funders":"","keywords":"Computer science; Quality of service; Mathematical optimization; Efficient energy use; Probabilistic logic; Robustness (evolution); Resource allocation; Exploit; Time horizon; Train; Base station; Real-time computing; Distributed computing; Computer network; Artificial intelligence","score_opus":0.020401491521633845,"score_gpt":0.24815629687923235,"score_spread":0.2277548053575985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329630841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008690582,0.00036231746,0.98746204,0.0008481616,0.00024854837,0.00040455555,0.00004852472,0.0002470206,0.001688231],"genre_scores_gemma":[0.98771757,0.0005238034,0.011154403,0.000038850103,0.00015490473,0.00022984849,0.000031840988,0.000055123353,0.000093637726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985908,0.0001613987,0.00060447265,0.00017256902,0.00016418962,0.00030653927],"domain_scores_gemma":[0.9979603,0.00060901424,0.00021968712,0.0007050828,0.0004007896,0.00010508234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033679508,0.00019046162,0.00022433452,0.00038147133,0.0002569405,0.000039512684,0.00044095493,0.00010951398,0.0000072109974],"category_scores_gemma":[0.00036510435,0.00016177369,0.000063427295,0.00054452923,0.00006879742,0.0001835367,0.000026982307,0.0002795328,0.0000042057504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060591134,0.00017011876,0.00006840873,0.000016054493,0.00008424294,0.0000012741586,0.00059071503,0.92349976,0.047252692,0.0027928203,0.0008467112,0.024616638],"study_design_scores_gemma":[0.0024926427,0.00024910428,0.0008496714,0.0015864683,0.00004372547,0.000102072285,0.00034942373,0.9605257,0.025226474,0.0010650029,0.007004044,0.0005056973],"about_ca_topic_score_codex":0.000004513983,"about_ca_topic_score_gemma":0.00006419229,"teacher_disagreement_score":0.97902703,"about_ca_system_score_codex":0.0007159257,"about_ca_system_score_gemma":0.00008569988,"threshold_uncertainty_score":0.6596939},"labels":[],"label_agreement":null},{"id":"W2330244677","doi":"10.1109/glocomw.2013.6855726","title":"Why user swapping could be the best coordination mechanism in a cellular network?","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Roaming; Computer network; Base station; Cellular network; Scheme (mathematics); Throughput; Enhanced Data Rates for GSM Evolution; Distributed computing; Swap (finance); Operator (biology); Wireless; Mathematics; Telecommunications","score_opus":0.010878994837520367,"score_gpt":0.20076183836277064,"score_spread":0.18988284352525028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330244677","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":[0.0067951535,0.00016183848,0.98467237,0.00065032026,0.00032326297,0.00058417575,5.616997e-7,0.00021781604,0.006594505],"genre_scores_gemma":[0.9890142,0.00002740907,0.008409098,0.0004868074,0.00012684392,0.00016832988,0.000011472186,0.000044252418,0.0017116064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993429,0.000025380376,0.00020601091,0.000115254814,0.000089033485,0.00022138265],"domain_scores_gemma":[0.9996629,0.000043638353,0.000028219321,0.00018492127,0.00005145916,0.000028869408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013321274,0.000113478905,0.0001084975,0.00005019284,0.00005144027,0.000047832276,0.000106657404,0.000081745624,0.00019756706],"category_scores_gemma":[0.000014352759,0.000090696965,0.00002112943,0.00025544994,0.000009251847,0.00032823812,0.000023563622,0.00012315965,0.00010056723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.794999e-7,0.000006855056,0.000078278536,0.000020848469,0.000009445702,9.335059e-7,0.00014983516,0.9728655,0.008297123,0.007763499,0.010564963,0.00024223131],"study_design_scores_gemma":[0.00022908245,0.000010387807,0.000023376113,0.00005135792,0.0000059426525,0.0000018382937,0.00043841146,0.9863697,0.0032346589,0.0017154109,0.0077479426,0.00017186116],"about_ca_topic_score_codex":0.00023077482,"about_ca_topic_score_gemma":0.00020713158,"teacher_disagreement_score":0.98221904,"about_ca_system_score_codex":0.000077800745,"about_ca_system_score_gemma":0.0000039310476,"threshold_uncertainty_score":0.3698515},"labels":[],"label_agreement":null},{"id":"W2331536627","doi":"10.1109/glocomw.2013.6855690","title":"The design of resource management mechanism with hybrid access in a macro-femto system","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Resource management (computing); Femtocell; Resource allocation; Base station; Macro; Computer network; Access control; Power control; Resource (disambiguation); Telecommunications link; Femto-; Distributed computing; Power (physics)","score_opus":0.008209299961798045,"score_gpt":0.19243414971073577,"score_spread":0.18422484974893774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331536627","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":[0.0020140007,0.00005760393,0.983431,0.000015392281,0.000045623678,0.0010190547,6.2077044e-7,0.00018655375,0.013230178],"genre_scores_gemma":[0.9730604,0.000018521629,0.025919449,0.000007070272,0.000009314227,0.00027466222,0.000001174762,0.000032654116,0.00067675376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934494,0.000035832614,0.00022646315,0.0001106235,0.00010855145,0.00017361349],"domain_scores_gemma":[0.99958646,0.000050201772,0.00004247167,0.00026499003,0.00002987896,0.000025993279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016136306,0.00010329437,0.00012190277,0.00006981965,0.00003161784,0.000048633974,0.0002278284,0.000019254756,0.000010355742],"category_scores_gemma":[0.000002629282,0.00006671299,0.000011549283,0.00017295485,0.000010792877,0.00018414728,0.000043868742,0.00004682909,0.000018185423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007633935,0.000004165873,0.000019117626,0.00021052719,0.000026413083,0.000005610358,0.000054360287,0.98896974,0.00028654546,0.009035079,0.00039290206,0.0009879218],"study_design_scores_gemma":[0.0005384876,0.00003224413,0.00009546407,0.00029044284,0.000012461494,0.000015567117,0.0015908094,0.98423404,0.012356405,0.00039603817,0.000242993,0.00019506975],"about_ca_topic_score_codex":0.00004569241,"about_ca_topic_score_gemma":0.000012090228,"teacher_disagreement_score":0.9710464,"about_ca_system_score_codex":0.000092753704,"about_ca_system_score_gemma":0.000003024579,"threshold_uncertainty_score":0.27204767},"labels":[],"label_agreement":null},{"id":"W2333257582","doi":"10.1109/cjece.2015.2469724","title":"Cooperative Energy-Efficient Content Dissemination Using Coalition Formation Game Over Device-to-Device Communications","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Hubei Province; National Natural Science Foundation of China","keywords":"EnodeB; Computer science; Wireless; Computer network; Game theory; Efficient energy use; Interference (communication); Potential game; Energy consumption; Multicast; Energy (signal processing); Distributed computing; Cellular network; Wireless network; Mathematical optimization; User equipment; Nash equilibrium; Telecommunications; Engineering; Mathematics; Base station; Channel (broadcasting); Electrical engineering","score_opus":0.017934825535602033,"score_gpt":0.22061913409718498,"score_spread":0.20268430856158295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333257582","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":[0.078888506,0.0006594429,0.920066,0.000086355125,0.00016866362,0.0000824966,0.000006332646,0.000025770656,0.000016431157],"genre_scores_gemma":[0.99127567,0.000047803544,0.008493896,0.00003953912,0.00010828914,0.00000454286,0.000003864556,0.000018570905,0.000007818742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999287,0.000022660883,0.0003301433,0.00007381013,0.00008085753,0.00020549275],"domain_scores_gemma":[0.9991962,0.00011667192,0.00006406804,0.00011127408,0.00021224226,0.0002995662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093431576,0.00011735207,0.00015918314,0.00031667427,0.000060824437,0.000050397666,0.00012189515,0.000049024886,0.000003555188],"category_scores_gemma":[0.000044264394,0.000097611366,0.000031213094,0.00028576326,0.000012206519,0.00027947832,0.000012147346,0.000090200105,9.762576e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003371817,0.000006790693,0.00007619451,0.000020029653,0.000028914847,0.000005741132,0.0002836263,0.96621555,0.017146353,0.0023357207,0.00013362913,0.01374409],"study_design_scores_gemma":[0.00020956903,0.000053048374,0.0006404095,0.00029214637,0.000013316031,0.000085585605,0.000010183558,0.9950827,0.0020033016,0.000008930063,0.0014604607,0.00014040196],"about_ca_topic_score_codex":0.00006847585,"about_ca_topic_score_gemma":0.00017726504,"teacher_disagreement_score":0.9123872,"about_ca_system_score_codex":0.00043905323,"about_ca_system_score_gemma":0.000048247988,"threshold_uncertainty_score":0.3980476},"labels":[],"label_agreement":null},{"id":"W2338408058","doi":"10.1049/iet-spr.2015.0223","title":"Hierarchy precoder design for multi‐cell multiuser multiple‐input–multiple‐output wireless networks with interference alignment","year":2016,"lang":"en","type":"article","venue":"IET Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Program for New Century Excellent Talents in University; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Precoding; Interference (communication); Base station; Zero-forcing precoding; Hierarchy; Transmitter power output; Interference alignment; Data stream mining; Key (lock); Data stream; Algorithm; MIMO; Transmitter; Telecommunications; Beamforming; Data mining; Channel (broadcasting)","score_opus":0.02972702995818889,"score_gpt":0.23510974660686154,"score_spread":0.20538271664867264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2338408058","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":[0.0046599684,0.00062720664,0.9922998,0.000022967826,0.00019154784,0.0014671781,0.000022828794,0.0006432706,0.000065220105],"genre_scores_gemma":[0.7721205,0.00003118065,0.22656158,0.000029132818,0.00016808545,0.00046893142,0.000013997082,0.00017220069,0.00043442845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977383,0.000074634314,0.0005749784,0.0006196453,0.0002298258,0.00076262146],"domain_scores_gemma":[0.99851996,0.0005110297,0.00020791334,0.00029177484,0.00027180326,0.00019750079],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028377198,0.0005180289,0.0004304515,0.00013520708,0.00021652019,0.00012485358,0.00032806754,0.00021753169,0.000015084643],"category_scores_gemma":[0.000044951827,0.00037612222,0.000078822995,0.0002226552,0.000100298676,0.0008072748,0.000052360927,0.00020151508,0.000012636149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026432154,0.00007794172,0.001163612,0.00034307525,0.00004733147,0.000004744558,0.00068434945,0.89477044,0.028013714,0.0000018855839,0.00016852416,0.07446008],"study_design_scores_gemma":[0.0032502015,0.00014107916,0.0000495528,0.0010313267,0.00003622618,0.000008320011,0.00011147101,0.9435609,0.05099349,0.00001482447,0.0001881882,0.0006144149],"about_ca_topic_score_codex":0.0000063510734,"about_ca_topic_score_gemma":0.000023583956,"teacher_disagreement_score":0.7674605,"about_ca_system_score_codex":0.00026914652,"about_ca_system_score_gemma":0.0000659629,"threshold_uncertainty_score":0.99986905},"labels":[],"label_agreement":null},{"id":"W2339010797","doi":"10.1109/tvt.2016.2555293","title":"QoS-Aware Energy-Efficient Downlink Predictive Scheduler for OFDMA-Based Cellular Devices","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Orthogonal frequency-division multiple access; Computer science; Quality of service; Scheduling (production processes); Telecommunications link; User equipment; Frequency-division multiple access; Efficient energy use; Real-time computing; Computer network; Mathematical optimization; Orthogonal frequency-division multiplexing; Engineering; Base station; Mathematics","score_opus":0.006493218068541167,"score_gpt":0.20199144380071807,"score_spread":0.1954982257321769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339010797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0126929525,0.0003044665,0.9831118,0.00050701306,0.00084443565,0.0005274925,0.00018313428,0.0017975279,0.000031159216],"genre_scores_gemma":[0.99003994,0.000046455454,0.008493514,0.000040194245,0.000060618182,0.0011139591,0.0000096186595,0.00009119597,0.00010448264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986911,0.000024390636,0.00033333874,0.00041012914,0.00014324325,0.00039782267],"domain_scores_gemma":[0.9991114,0.00009328248,0.00007014875,0.00047607903,0.00017930155,0.00006979988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077650664,0.00029070457,0.00028455586,0.0005689884,0.00015591232,0.000012058906,0.00023502008,0.0004927753,0.000041358657],"category_scores_gemma":[0.000007794904,0.00024061867,0.0001431017,0.0004902321,0.000114622824,0.00009857603,0.0000014680162,0.00018568193,0.000029439427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026831689,0.00008343561,0.000005824122,0.000053062813,0.00009333586,0.000003760838,0.000010550361,0.91176236,0.07310714,0.00026313192,0.000034395463,0.014556161],"study_design_scores_gemma":[0.00081325776,0.00010927307,0.0000019621648,0.00013865122,0.00005786773,0.0000033335282,0.00003588063,0.46858385,0.5278603,0.0000798815,0.002086803,0.00022894029],"about_ca_topic_score_codex":0.0000036631084,"about_ca_topic_score_gemma":0.000019994683,"teacher_disagreement_score":0.977347,"about_ca_system_score_codex":0.00023059387,"about_ca_system_score_gemma":0.000034456578,"threshold_uncertainty_score":0.98121446},"labels":[],"label_agreement":null},{"id":"W2339860134","doi":"10.1109/tvt.2015.2425934","title":"Energy Efficiency–Spectral Efficiency Tradeoff: A Multiobjective Optimization Approach","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Mathematical optimization; Orthogonal frequency-division multiplexing; Channel (broadcasting); Resource allocation; Multi-objective optimization; Efficient energy use; Computer science; Optimization problem; Spectral efficiency; Signal-to-noise ratio (imaging); Function (biology); Mathematics; Engineering; Telecommunications","score_opus":0.009531259335187444,"score_gpt":0.2069886306430535,"score_spread":0.19745737130786606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339860134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035945668,0.00029386271,0.99110883,0.00005585024,0.00060847716,0.00038989302,0.000013242815,0.0023191525,0.0016161205],"genre_scores_gemma":[0.93292403,0.00004910926,0.0665373,0.000018471008,0.00003499153,0.00024958228,0.000011808882,0.00008226873,0.00009246286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984132,0.00004969047,0.00037294402,0.00046342175,0.00023820695,0.00046252552],"domain_scores_gemma":[0.99918026,0.000025491116,0.00006376267,0.00046719398,0.00014094921,0.00012234137],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012356645,0.00032837904,0.00031946393,0.0008421193,0.00015170212,0.000025691408,0.0002761672,0.00047623698,0.0000109208695],"category_scores_gemma":[0.0000119112565,0.00034974894,0.00010351376,0.0015360122,0.00014874131,0.000216061,0.000001817161,0.00041745458,0.000019044808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015130189,0.00020440666,0.0000016660721,0.000014823168,0.0000415015,0.000007103551,0.00021659242,0.993777,0.0019196344,0.00043817927,0.00001913368,0.00334483],"study_design_scores_gemma":[0.00087410974,0.00018234219,5.208609e-7,0.000018674536,0.000035741556,0.00009408674,0.00040532832,0.94247174,0.055373706,0.00009922581,0.00010952774,0.00033499795],"about_ca_topic_score_codex":0.000017173723,"about_ca_topic_score_gemma":0.00000998684,"teacher_disagreement_score":0.92932945,"about_ca_system_score_codex":0.00041803624,"about_ca_system_score_gemma":0.000052510884,"threshold_uncertainty_score":0.99989545},"labels":[],"label_agreement":null},{"id":"W2340749190","doi":"10.1109/tvt.2015.2506603","title":"Adaptive Service Rate and Vacation Length for Energy-Efficient HeNB Based on Queueing Analysis","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Femtocell; Quality of service; Queueing theory; Computer network; Computer science; Energy (signal processing); Service (business); 3rd Generation Partnership Project 2; Base station; Real-time computing; Mathematical optimization; Telecommunications link; Mathematics; Statistics","score_opus":0.012922157519330693,"score_gpt":0.21756846547390019,"score_spread":0.2046463079545695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340749190","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02012164,0.00010192249,0.9782665,0.00027587102,0.0001781831,0.0002992502,0.000024450188,0.00067900226,0.000053200696],"genre_scores_gemma":[0.9871316,0.000020425443,0.012379919,0.000082172075,0.000013409669,0.00029285025,0.000014651063,0.000041300576,0.000023661429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999132,0.00003974233,0.00022285167,0.00029999035,0.00009710427,0.00020831099],"domain_scores_gemma":[0.9993037,0.000069323985,0.00005340739,0.000323178,0.00018599836,0.00006438804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001584851,0.00018932045,0.00024173444,0.00089354475,0.00010309695,0.000014184378,0.000096843585,0.00024752563,0.0000028012375],"category_scores_gemma":[0.0000091364145,0.00020306282,0.00006897147,0.0013285519,0.000028765457,0.000069816444,8.844733e-7,0.0001654583,0.0000054354905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034711593,0.00004587609,0.000004246422,0.000017141982,0.00015101087,0.0000013310499,0.000055665278,0.99370587,0.0013993643,0.0003802578,0.0000065053255,0.0041980124],"study_design_scores_gemma":[0.0006238522,0.00013210709,0.0000062711774,0.000025980884,0.00021687773,0.0000022368627,0.00016164803,0.95891494,0.039372195,0.00013261057,0.00022647533,0.00018483066],"about_ca_topic_score_codex":0.00003393732,"about_ca_topic_score_gemma":0.00016370488,"teacher_disagreement_score":0.96700996,"about_ca_system_score_codex":0.0001960519,"about_ca_system_score_gemma":0.000023209934,"threshold_uncertainty_score":0.8280662},"labels":[],"label_agreement":null},{"id":"W2340750975","doi":"10.1109/allerton.2015.7447014","title":"Optimizing large-scale MIMO cellular downlink: Multiplexing, diversity, or interference nulling?","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Computer science; Spatial multiplexing; Multiplexing; Beamforming; MIMO; Interference (communication); Base station; Channel state information; Context (archaeology); Antenna diversity; Computer network; Channel (broadcasting); Electronic engineering; Telecommunications; Antenna (radio); Wireless; Engineering; Geography","score_opus":0.03183073410230055,"score_gpt":0.23844415460266202,"score_spread":0.20661342050036147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340750975","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":[0.008445543,0.00021811092,0.9801988,0.00001712128,0.0006927919,0.00022804113,0.000015141673,0.0009158267,0.009268596],"genre_scores_gemma":[0.82287514,0.000020873864,0.17530316,0.000033221644,0.0001192136,0.000009554458,0.000030606894,0.000043921384,0.001564337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998904,0.000023667546,0.00027450113,0.00025788532,0.00016578975,0.00037418224],"domain_scores_gemma":[0.99928874,0.000036737503,0.000046646095,0.00030183853,0.00012351386,0.00020250413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019386793,0.00021613878,0.00023215324,0.000109001914,0.000120442644,0.000049476355,0.00028829146,0.0001235608,0.00016217025],"category_scores_gemma":[0.000052911386,0.00019523314,0.000051034232,0.00021475587,0.000023151631,0.00040115006,0.00035300315,0.00017522926,0.00018101578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002654605,0.0000323769,0.0009343112,0.000057823916,0.000027014801,0.000017712457,0.0043354267,0.99052924,0.0020761006,0.00008901747,0.001609986,0.00026447407],"study_design_scores_gemma":[0.0010158344,0.000049344133,0.0000074570753,0.000077154094,0.000015369365,0.0000068455665,0.0022485198,0.98098433,0.011882868,0.00006342641,0.0032734193,0.00037543458],"about_ca_topic_score_codex":0.00004457995,"about_ca_topic_score_gemma":0.00019304211,"teacher_disagreement_score":0.8144296,"about_ca_system_score_codex":0.0001567732,"about_ca_system_score_gemma":0.000018912177,"threshold_uncertainty_score":0.79613763},"labels":[],"label_agreement":null},{"id":"W2342811674","doi":"10.1109/jiot.2015.2496161","title":"Probabilistic Analysis on QoS Provisioning for Internet of Things in LTE-A Heterogeneous Networks With Partial Spectrum Usage","year":2015,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Femtocell; Computer network; Quality of service; Stackelberg competition; Provisioning; Probabilistic logic; Heterogeneous network; Distributed computing; Wireless network; Wireless; Telecommunications; Base station","score_opus":0.014015578216864102,"score_gpt":0.2385741919318632,"score_spread":0.22455861371499908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342811674","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":[0.25823966,0.00010291777,0.74054694,0.000018448256,0.00057576055,0.0003141651,0.0000017408641,0.000044769047,0.00015556076],"genre_scores_gemma":[0.98523444,0.0000091040365,0.014393574,0.00002847375,0.00014982949,0.000020102736,0.00000586581,0.000056697558,0.000101886886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981207,0.00006480567,0.0009110521,0.00024362924,0.0003138423,0.00034593567],"domain_scores_gemma":[0.9988083,0.00012348877,0.0005400265,0.00020854124,0.00017962541,0.00013999655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000728556,0.00025493134,0.0006006098,0.00047446784,0.000017960674,0.00007430018,0.00035468896,0.00012005496,0.000014069645],"category_scores_gemma":[0.00015221773,0.00021384086,0.00017731905,0.00036996463,0.000054003925,0.00050219346,0.000032671196,0.0004317156,0.0000013549097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037795174,0.000056415767,0.0012721325,0.00007735609,0.00036366214,0.000023310855,0.0033202835,0.99353564,0.00027265423,0.00006168713,0.00016735548,0.00047154562],"study_design_scores_gemma":[0.0009876129,0.00074549776,0.000021193186,0.0006920291,0.00016165641,0.00010367395,0.00009234183,0.98278844,0.013945958,0.00019770577,0.00005194614,0.00021191186],"about_ca_topic_score_codex":0.00013681939,"about_ca_topic_score_gemma":0.00006892376,"teacher_disagreement_score":0.7269948,"about_ca_system_score_codex":0.00029500725,"about_ca_system_score_gemma":0.00003678853,"threshold_uncertainty_score":0.87201774},"labels":[],"label_agreement":null},{"id":"W2343044157","doi":"10.1109/access.2016.2540520","title":"Big Data Analytics in Mobile Cellular Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; National Science Foundation","keywords":"Big data; Computer science; Cellular network; Mobile computing; Analytics; Data science; Data modeling; Data analysis; Mobile telephony; Mobile broadband; Cellular traffic; Computer network; Data mining; Mobile radio; Wireless; Telecommunications; Database","score_opus":0.05394842704457702,"score_gpt":0.2802108390991762,"score_spread":0.22626241205459918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343044157","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":[0.017893642,0.00057228666,0.9795234,0.000007421891,0.001182335,0.00016434545,0.000017448445,0.00015102925,0.00048804557],"genre_scores_gemma":[0.99864066,0.0003143086,0.00045728704,0.000010549459,0.00038063334,0.000022139633,0.000021589476,0.00003523772,0.00011757229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993361,0.000013192796,0.00020541997,0.00018446268,0.00006519988,0.00019558135],"domain_scores_gemma":[0.99920046,0.000050128474,0.000030158202,0.00065968285,0.000020609941,0.000038973776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001032249,0.00009778832,0.00012866515,0.00008441141,0.000013993495,0.0000344519,0.00056716247,0.00006897625,0.000016885953],"category_scores_gemma":[0.00001527854,0.00007848858,0.000011893267,0.00028243472,0.000013500386,0.0005758162,0.000083553045,0.000063575666,0.000022212736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015543897,0.0000061834066,0.0018052647,0.000015987105,0.000007802205,0.0000073020224,0.000010485717,0.9739529,0.0018203652,0.000005191906,0.0011320874,0.021234872],"study_design_scores_gemma":[0.0004358528,0.0000075830144,0.0001998703,0.000109898436,0.000010182752,0.0000016035924,0.000009111041,0.98523355,0.007581624,0.00008010127,0.006081023,0.00024963237],"about_ca_topic_score_codex":0.000013310305,"about_ca_topic_score_gemma":0.00010176004,"teacher_disagreement_score":0.98074704,"about_ca_system_score_codex":0.0000618984,"about_ca_system_score_gemma":0.000007296582,"threshold_uncertainty_score":0.32006714},"labels":[],"label_agreement":null},{"id":"W2343343021","doi":"10.1109/tmc.2015.2513052","title":"Resource Allocation for an OFDMA Cloud-RAN of Small Cells Underlaying a Macrocell","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrocell; Computer science; Transmitter power output; Quality of service; Computer network; Cellular network; Telecommunications link; Radio access network; Resource allocation; Optimization problem; Base station; Mobile station; Algorithm; Transmitter","score_opus":0.0326695615136331,"score_gpt":0.253141921735149,"score_spread":0.2204723602215159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343343021","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":[0.08403331,0.00012540583,0.9139063,0.000004428313,0.0007079197,0.0006574019,0.000019735582,0.00037180094,0.0001737533],"genre_scores_gemma":[0.96266204,0.000012195198,0.036962133,0.0000139251315,0.000113545226,0.00008112718,0.000010351885,0.000075010874,0.00006967896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989676,0.00004335412,0.00040143874,0.00023733589,0.00011170776,0.00023857482],"domain_scores_gemma":[0.9992299,0.00015357068,0.00009827594,0.00025672137,0.0001492997,0.00011222781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023964724,0.00017880359,0.00022291137,0.00014448164,0.00010575957,0.000023267903,0.0001462544,0.00010319044,0.000002957008],"category_scores_gemma":[0.0000042151096,0.0002121908,0.000075911536,0.00026752052,0.000019232097,0.000120835844,0.0000011529714,0.00014235804,0.0000047589583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002417052,0.00006191789,0.0000019931335,0.00013637402,0.00002310361,2.1929347e-7,0.0013017089,0.94654447,0.03140855,0.000010125203,0.000052033774,0.020435352],"study_design_scores_gemma":[0.0005996836,0.00014598345,8.236349e-7,0.00011000799,0.0000280996,0.0000028681218,0.0009530639,0.8208895,0.1766696,0.000022693772,0.0004018616,0.0001758498],"about_ca_topic_score_codex":0.000019431982,"about_ca_topic_score_gemma":0.000024331453,"teacher_disagreement_score":0.87862873,"about_ca_system_score_codex":0.00013974622,"about_ca_system_score_gemma":0.0000267087,"threshold_uncertainty_score":0.865289},"labels":[],"label_agreement":null},{"id":"W2344659650","doi":"10.1109/jiot.2016.2527022","title":"DRX With Quick Sleeping: A Novel Mechanism for Energy-Efficient IoT Using LTE/LTE-A","year":2016,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sierra Wireless (Canada); University of British Columbia","funders":"Mitacs","keywords":"User equipment; Computer science; LTE Advanced; 3rd Generation Partnership Project 2; Computer network; Efficient energy use; Energy consumption; Transmission (telecommunications); Channel (broadcasting); Telecommunications link; Synchronization (alternating current); Real-time computing; Base station; Telecommunications; Engineering","score_opus":0.016492267370001448,"score_gpt":0.22988322328917385,"score_spread":0.2133909559191724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344659650","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":[0.07508663,0.000064828695,0.9231729,0.000044255114,0.0012735858,0.00012802001,0.000005932924,0.00008697705,0.00013686191],"genre_scores_gemma":[0.8828188,0.000009859416,0.11657194,0.000046577785,0.00023021433,0.000007984298,5.033388e-7,0.00007785777,0.00023625427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987058,0.00001527239,0.0005263009,0.000178801,0.00024051413,0.0003333238],"domain_scores_gemma":[0.9989895,0.000077658355,0.0003415481,0.0001654742,0.00031028708,0.000115504794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026182947,0.00021634265,0.0002968708,0.00021053503,0.000053151278,0.0000481521,0.00026570336,0.000097674216,0.000015925292],"category_scores_gemma":[0.000059270293,0.00015392002,0.00011143138,0.0000988447,0.000033696964,0.00026438147,0.000023698203,0.00014653397,0.0000020589066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097822165,0.00003951113,0.000009870752,0.00006214505,0.00014037298,0.0000059139484,0.0007558211,0.6201354,0.37450472,0.0030400995,0.00013280817,0.0010754573],"study_design_scores_gemma":[0.0012406086,0.00015398448,0.0000012734029,0.0010861115,0.000040296713,0.0004363584,0.00006246831,0.7602505,0.23577863,0.00050676917,0.0002098441,0.00023313657],"about_ca_topic_score_codex":0.00003402283,"about_ca_topic_score_gemma":0.0000051867833,"teacher_disagreement_score":0.80773216,"about_ca_system_score_codex":0.0003038193,"about_ca_system_score_gemma":0.00003419344,"threshold_uncertainty_score":0.6276676},"labels":[],"label_agreement":null},{"id":"W2344765023","doi":"10.1109/tcomm.2016.2519513","title":"Spectral-Efficiency Analysis of Massive MIMO Systems in Centralized and Distributed Schemes","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Spectral efficiency; Electronic engineering; Telecommunications; Computer network; Distributed computing; Engineering; Beamforming","score_opus":0.01607228095544152,"score_gpt":0.25155018990841926,"score_spread":0.23547790895297774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344765023","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":[0.017716996,0.000573498,0.9805,0.00015078136,0.00009531737,0.0002674515,0.00035885177,0.0001259831,0.00021116296],"genre_scores_gemma":[0.99568474,0.0016500974,0.0024955934,0.000001783226,0.0000027876026,0.00008524954,0.000021134412,0.000016127256,0.00004246918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916124,0.00007692193,0.00039048423,0.00013100736,0.00008262638,0.0001576973],"domain_scores_gemma":[0.99874103,0.0002586783,0.00006886507,0.000816928,0.00006436551,0.000050139904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008764766,0.000118585005,0.00026734878,0.00044477795,0.00007649936,0.000012892878,0.00024449034,0.00006625497,0.000019165976],"category_scores_gemma":[0.00000972681,0.00010345746,0.00007050242,0.001172153,0.00010080463,0.00015480393,0.0000021726132,0.000104768544,0.0000037570603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007740663,0.00010855956,0.0002522089,0.000024517723,0.0002607649,3.0796994e-7,0.00020302543,0.98577386,0.011289738,0.0009325068,0.000009626684,0.0011371706],"study_design_scores_gemma":[0.0010288573,0.000032872056,0.0016264908,0.0002238744,0.00041614907,0.000002202878,0.00040255886,0.98558784,0.009873294,0.00005379543,0.00046300452,0.0002890794],"about_ca_topic_score_codex":0.00006758985,"about_ca_topic_score_gemma":0.00024104865,"teacher_disagreement_score":0.97800434,"about_ca_system_score_codex":0.00014097737,"about_ca_system_score_gemma":0.000013454934,"threshold_uncertainty_score":0.42188725},"labels":[],"label_agreement":null},{"id":"W2344783839","doi":"10.1109/jiot.2015.2497712","title":"Energy-Efficient Resource Allocation for D2D Communications Underlaying Cloud-RAN-Based LTE-A Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":275,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Fundamental Research Funds for the Central Universities; Japan Society for the Promotion of Science; State Grid Corporation of China; National Natural Science Foundation of China; Electric Power Research Institute; China Electric Power Research Institute; National Science Foundation","keywords":"Computer science; C-RAN; Computer network; Resource allocation; Quality of service; Radio access network; Distributed computing; Radio resource management; Underlay; Cloud computing; Wireless network; Wireless; Base station; Telecommunications; Signal-to-noise ratio (imaging)","score_opus":0.031589754339133545,"score_gpt":0.2599975068929227,"score_spread":0.22840775255378917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344783839","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":[0.003570252,0.0010069421,0.9927638,0.00015732723,0.0011399816,0.00014705393,0.0000021190046,0.00012567094,0.0010868398],"genre_scores_gemma":[0.9671457,0.000025461739,0.032229766,0.00011648694,0.0002402301,0.000020673695,0.000019538411,0.0000554474,0.00014670426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881774,0.00007258419,0.0005740788,0.000116340845,0.00019368953,0.00022555032],"domain_scores_gemma":[0.99863523,0.00021465264,0.00030741096,0.0003733493,0.00033405994,0.00013532117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006681364,0.00015473091,0.0002159429,0.00016193936,0.000075908385,0.00007267697,0.000532653,0.0001096886,0.0000035332841],"category_scores_gemma":[0.00006819786,0.00016073324,0.00010504781,0.00014817977,0.00005091916,0.00019333856,0.00003055083,0.0002797838,0.0000018252673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034659137,0.00003146043,0.000018281768,0.000027224969,0.000043522312,6.445253e-7,0.0009753258,0.9904591,0.00085354806,0.00028281554,0.00481129,0.0024621414],"study_design_scores_gemma":[0.0006785897,0.00006388107,0.0000010790108,0.00024484267,0.00002846847,0.00003180772,0.00029822093,0.9879508,0.0050217933,0.00018049254,0.005350456,0.00014955494],"about_ca_topic_score_codex":0.00002769387,"about_ca_topic_score_gemma":0.0000073038864,"teacher_disagreement_score":0.9635754,"about_ca_system_score_codex":0.00032185178,"about_ca_system_score_gemma":0.000045156026,"threshold_uncertainty_score":0.6554511},"labels":[],"label_agreement":null},{"id":"W2344910467","doi":"10.1109/tvt.2016.2522468","title":"Analyzing Dependent Placements of Small Cells in a Two-Layer Heterogeneous Network With a Rate Coverage Constraint","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upper and lower bounds; Interference (communication); Poisson point process; Telecommunications link; Computer science; Constraint (computer-aided design); Point process; Cellular network; Grid; Residual; Stochastic geometry; Heterogeneous network; Hexagonal crystal system; Mathematical optimization; Topology (electrical circuits); Mathematics; Computer network; Algorithm; Wireless network; Statistics; Telecommunications; Wireless; Combinatorics","score_opus":0.007499709003292688,"score_gpt":0.20986220215014928,"score_spread":0.2023624931468566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2344910467","genre_codex":"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":[0.2808849,0.00005743403,0.7183486,0.000019833258,0.00012813637,0.00029914652,0.00001710199,0.0002112558,0.000033552282],"genre_scores_gemma":[0.9937601,0.00010647854,0.0059351195,0.000008602967,0.000008591095,0.00010424285,0.0000010142875,0.000045313656,0.00003052869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989319,0.00004231049,0.0003553385,0.00026130542,0.00007707756,0.00033206513],"domain_scores_gemma":[0.99945056,0.00005282251,0.00007812893,0.00033147584,0.00004764694,0.000039344064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001143631,0.0002060328,0.00029605217,0.00038628478,0.00003878988,0.000006196831,0.00013286379,0.0001558949,0.000023382538],"category_scores_gemma":[0.0000022649103,0.00016838123,0.000049910912,0.00045930664,0.00008236204,0.00006645943,0.0000017527867,0.00020192777,0.000012938824],"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":[0.000040959058,0.00004071343,0.0001470749,0.000022300757,0.000097593416,0.000049284576,0.000016835398,0.85524154,0.13910899,0.000028089325,7.871231e-7,0.005205871],"study_design_scores_gemma":[0.002858607,0.00021362299,0.000010091372,0.0003966319,0.000056559606,0.00008875731,0.00003554193,0.08052374,0.91527426,0.0001605205,0.000042242616,0.00033939394],"about_ca_topic_score_codex":0.000012612643,"about_ca_topic_score_gemma":0.00040910035,"teacher_disagreement_score":0.7761653,"about_ca_system_score_codex":0.00017873506,"about_ca_system_score_gemma":0.000020039339,"threshold_uncertainty_score":0.6866387},"labels":[],"label_agreement":null},{"id":"W2345267774","doi":"10.1109/tmc.2016.2519343","title":"Relay-Assisted Device-to-Device Communication: A Stochastic Analysis of Energy Saving","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Relay; Computer science; Energy consumption; Poisson point process; Energy (signal processing); Monte Carlo method; Wireless; Probabilistic logic; Point (geometry); Stochastic geometry; Efficient energy use; Point process; Electronic engineering; Telecommunications; Electrical engineering; Mathematics; Engineering; Statistics; Artificial intelligence","score_opus":0.014241619449268514,"score_gpt":0.24980913974319308,"score_spread":0.23556752029392455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345267774","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":[0.03985346,0.00014388298,0.9589778,0.000018047103,0.00022751233,0.00020472507,0.00002156594,0.00037081612,0.0001821547],"genre_scores_gemma":[0.983069,0.000023198932,0.016665071,0.000024325916,0.000021233802,0.00006742735,0.0000054319685,0.00004928097,0.00007505467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987002,0.000082997474,0.00056190137,0.00025380225,0.00016272698,0.00023837389],"domain_scores_gemma":[0.9984132,0.00057422294,0.00012489266,0.000629365,0.00016159685,0.000096713666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016734692,0.00019839304,0.00038363572,0.00060115714,0.00016167517,0.000018124907,0.00024980502,0.00008990504,0.000043285643],"category_scores_gemma":[0.000011087192,0.00018613713,0.00015684991,0.0016740479,0.000031456566,0.00014318856,0.000004003037,0.000119441196,0.000015357811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076883525,0.000036648904,0.00001252387,0.000021734808,0.00032861574,4.418403e-7,0.0002455584,0.9400271,0.008681493,0.00002091737,0.000007667204,0.05060958],"study_design_scores_gemma":[0.0004275902,0.00006276046,0.00026823313,0.0004942899,0.00045840855,0.000005350853,0.00016693112,0.99016553,0.007475883,0.0000060054517,0.0001446421,0.0003243694],"about_ca_topic_score_codex":0.000041594394,"about_ca_topic_score_gemma":0.00020896031,"teacher_disagreement_score":0.9432155,"about_ca_system_score_codex":0.0002262914,"about_ca_system_score_gemma":0.000017039245,"threshold_uncertainty_score":0.7590452},"labels":[],"label_agreement":null},{"id":"W2345283725","doi":"10.1109/tvt.2015.2504037","title":"Mobility-Aware Performance Evaluation of Heterogeneous Wireless Networks With Traffic Offloading","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Computer science; Computer network; Mobility model; Base station; Network packet; Wireless; Cellular network; Packet loss; Orthogonal frequency-division multiple access; Handover; Energy consumption; Wireless network; Throughput; Orthogonal frequency-division multiplexing; Engineering; Telecommunications","score_opus":0.0154158031503232,"score_gpt":0.22623335815373144,"score_spread":0.21081755500340824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345283725","genre_codex":"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":[0.4858896,0.00013574044,0.5131101,0.000007235164,0.00015509225,0.00029382017,0.0000027756344,0.0003868773,0.000018769497],"genre_scores_gemma":[0.99825996,0.000046099365,0.001403931,0.0000033912584,0.000014191949,0.00020893157,0.000005113244,0.000051524148,0.0000068500703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989175,0.000043797834,0.0002939745,0.00023739022,0.0002705876,0.0002367128],"domain_scores_gemma":[0.99911994,0.000017021097,0.00006694491,0.00041562767,0.00032473367,0.000055723925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027154485,0.00019301072,0.00025627637,0.00033075633,0.0000625812,0.0000069074704,0.00014531286,0.00027929162,0.000008050327],"category_scores_gemma":[0.0000032793173,0.00019009433,0.000043858112,0.0006579098,0.00009493433,0.00014116679,9.40697e-7,0.00028908582,0.0000075389785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022367323,0.000052074403,0.00002049723,0.000032517524,0.000057942787,0.0000020562206,0.00006252803,0.9572043,0.0007398249,0.0000030937406,0.0000025905583,0.041800205],"study_design_scores_gemma":[0.00072859495,0.0002189624,0.0000043686155,0.0000876792,0.00008197914,0.00006408897,0.00012676106,0.9313643,0.06713092,0.000006373269,0.000014449649,0.00017154444],"about_ca_topic_score_codex":0.000002431723,"about_ca_topic_score_gemma":0.000026118514,"teacher_disagreement_score":0.51237035,"about_ca_system_score_codex":0.0002720641,"about_ca_system_score_gemma":0.000044301647,"threshold_uncertainty_score":0.7751822},"labels":[],"label_agreement":null},{"id":"W2346740746","doi":"10.1109/access.2016.2562498","title":"Coalitional Games for Joint Co-Tier and Cross-Tier Cooperative Spectrum Sharing in Dense Heterogeneous Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrocell; Computer science; Computer network; Telecommunications link; Base station; Heterogeneous network; Cellular network; Distributed computing; Wireless network; Wireless; Telecommunications","score_opus":0.026881508559483458,"score_gpt":0.30061613779520197,"score_spread":0.2737346292357185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346740746","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":[0.28284606,0.00025247424,0.71585786,0.00002693205,0.0003800348,0.0003610327,0.00004425009,0.00008994776,0.00014139854],"genre_scores_gemma":[0.99856967,0.0000835898,0.00064477534,0.00004351925,0.00022865762,0.00015629226,0.000013770562,0.000046864283,0.00021289123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991195,0.000013579312,0.00027183755,0.00025284317,0.000067796376,0.00027440686],"domain_scores_gemma":[0.99961376,0.000079874146,0.000043128624,0.0001505973,0.00005416446,0.000058481455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103827144,0.0001538643,0.0001941043,0.00008030163,0.00005863674,0.00012908438,0.00011804559,0.00008706488,0.00004000289],"category_scores_gemma":[0.000027331138,0.00012884875,0.000029172581,0.00008329521,0.000049089427,0.00054736953,0.000029748433,0.00006497094,0.0000042935967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003240825,0.000008831042,0.008539167,0.00004229578,0.000027002714,0.0000082086135,0.00008165097,0.988553,0.0016768418,0.00012442039,0.00026882422,0.00063735986],"study_design_scores_gemma":[0.0028787067,0.00006824069,0.0056418297,0.00035854086,0.000015125068,0.00006793832,0.000019879772,0.9250508,0.062815964,0.0016520638,0.0007510063,0.00067992555],"about_ca_topic_score_codex":0.000010470604,"about_ca_topic_score_gemma":0.00008108064,"teacher_disagreement_score":0.7157236,"about_ca_system_score_codex":0.00012286243,"about_ca_system_score_gemma":0.000009842178,"threshold_uncertainty_score":0.52542996},"labels":[],"label_agreement":null},{"id":"W2347149873","doi":"10.1109/tcc.2016.2564405","title":"Energy Efficiency Using Cloud Management of LTE Networks Employing Fronthaul and Virtualized Baseband Processing Pool","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Radio access network; Computer network; C-RAN; Cloud computing; Core network; Baseband; Distributed computing; Base station; Operating system; Bandwidth (computing)","score_opus":0.01199300675502516,"score_gpt":0.23083030439601882,"score_spread":0.21883729764099366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2347149873","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":[0.08742177,0.00042596148,0.91051817,0.0000061198057,0.0010105554,0.00017761346,0.000004160823,0.00030006308,0.0001355591],"genre_scores_gemma":[0.98453593,0.0001008235,0.015089283,0.000011703829,0.00013541197,0.000007416515,7.5220163e-7,0.00006930538,0.000049398088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860644,0.000053019863,0.00050372526,0.00032032147,0.00017130068,0.00034518194],"domain_scores_gemma":[0.9993879,0.00011847004,0.00013264272,0.00022399164,0.000058771933,0.00007819563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019772997,0.00024909992,0.00030305528,0.0001549718,0.00024376262,0.00003401253,0.00011820739,0.00009657413,0.000008794427],"category_scores_gemma":[0.0000017725039,0.00022651062,0.000066899804,0.00032841283,0.00005448617,0.00015799078,0.0000044352846,0.00011381266,9.989973e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020205056,0.000026663995,0.0000135952305,0.0001263561,0.000053790023,0.0000040853965,0.00014654771,0.9022013,0.0031717822,0.000054457094,0.000003314061,0.09417789],"study_design_scores_gemma":[0.0009280713,0.000034571258,0.000009483573,0.0011799909,0.00006500632,0.000014772965,0.00011570603,0.98540574,0.011925231,0.000024850462,0.0000266433,0.00026993186],"about_ca_topic_score_codex":0.000018202207,"about_ca_topic_score_gemma":0.0000047197746,"teacher_disagreement_score":0.89711416,"about_ca_system_score_codex":0.00013635367,"about_ca_system_score_gemma":0.000011518353,"threshold_uncertainty_score":0.9236835},"labels":[],"label_agreement":null},{"id":"W2395502954","doi":"10.1109/tvt.2015.2448593","title":"An Analytical Framework for Evaluating Spectrum/Energy Efficiency of Heterogeneous Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Huawei Technologies (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrocell; Femtocell; Quality of service; Mathematical optimization; Computer science; Spectral efficiency; Multi-objective optimization; Efficient energy use; Cellular network; Heterogeneous network; Femto-; Optimization problem; Base station; Wireless network; Computer network; Wireless; Mathematics; Engineering; Channel (broadcasting); Telecommunications","score_opus":0.020437678867921926,"score_gpt":0.2769052868278508,"score_spread":0.2564676079599289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395502954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03968389,0.00035600833,0.9584736,0.000038647227,0.00048543644,0.00028035662,0.000009136971,0.0006514417,0.000021464173],"genre_scores_gemma":[0.9482542,0.000019929712,0.05148123,0.000010958996,0.0000441472,0.00010902888,0.000006422807,0.0000652765,0.000008773346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877465,0.00003727318,0.00039047704,0.00029806333,0.00015832341,0.0003412208],"domain_scores_gemma":[0.9990989,0.0000669773,0.000070394926,0.00054074766,0.00012511172,0.00009784837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018507929,0.00020553777,0.00031748298,0.0003807169,0.00007375297,0.000010921148,0.00023499811,0.0004901398,0.000008964008],"category_scores_gemma":[0.000022410914,0.00022368658,0.000104895546,0.0006610312,0.00009194206,0.00007704238,0.0000012439459,0.00027851624,0.000003485031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021551157,0.00008406687,0.0000035095065,0.00001824734,0.000052723775,0.0000047209414,0.00002951545,0.9875416,0.0043987324,0.0022588905,0.000003000303,0.0055834055],"study_design_scores_gemma":[0.00032650938,0.00050857593,1.6773946e-7,0.000034820496,0.000055756154,0.000019347277,0.000054427208,0.83228,0.16349868,0.003012656,0.000038143116,0.00017096552],"about_ca_topic_score_codex":0.000005958046,"about_ca_topic_score_gemma":0.000010884312,"teacher_disagreement_score":0.90857035,"about_ca_system_score_codex":0.00013267966,"about_ca_system_score_gemma":0.00002621961,"threshold_uncertainty_score":0.91216743},"labels":[],"label_agreement":null},{"id":"W2396020700","doi":"10.1109/tvt.2015.2440412","title":"Joint Beamforming, Power, and Channel Allocation in Multiuser and Multichannel Underlay MISO Cognitive Radio Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Cognitive radio; Underlay; Mathematical optimization; Computer science; Optimization problem; Channel (broadcasting); Channel allocation schemes; Relaxation (psychology); Algorithm; Signal-to-noise ratio (imaging); Mathematics; Telecommunications; Wireless","score_opus":0.013988774384373959,"score_gpt":0.2216443278961759,"score_spread":0.20765555351180195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396020700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13205822,0.0011013937,0.86557174,0.00010038128,0.00026770178,0.0004476484,0.0000069905896,0.0004206983,0.000025251153],"genre_scores_gemma":[0.9966394,0.0003519462,0.0027415997,0.00002392066,0.000013321259,0.00014019158,0.0000065811937,0.000049930237,0.000033124194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999081,0.000025738607,0.00026521765,0.00028211458,0.00007836511,0.00026756997],"domain_scores_gemma":[0.99960405,0.000035383673,0.000042897904,0.0001667853,0.00006488839,0.00008598723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001272681,0.00021174853,0.00024503053,0.0005298738,0.00006541218,0.000015075893,0.000057169353,0.00037753428,0.0000019975346],"category_scores_gemma":[0.000016884616,0.00023375914,0.000025262361,0.00034279624,0.00010607589,0.00018682895,0.0000022974166,0.00037420428,0.000004881007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017993862,0.000054649725,0.000024948176,0.000022065411,0.000045237517,0.00001044263,0.0006547097,0.9918255,0.0014817284,0.000029486713,0.000008697935,0.0058245296],"study_design_scores_gemma":[0.0017593943,0.00013520982,0.000050865918,0.00013299027,0.000031485743,0.000090177135,0.00174819,0.98275363,0.0127798645,0.00018408055,0.000049914375,0.00028416447],"about_ca_topic_score_codex":0.000023183275,"about_ca_topic_score_gemma":0.00012696563,"teacher_disagreement_score":0.86458117,"about_ca_system_score_codex":0.00012496977,"about_ca_system_score_gemma":0.000011732462,"threshold_uncertainty_score":0.9532421},"labels":[],"label_agreement":null},{"id":"W2396891144","doi":"","title":"Eigenmode Scheduling via Simulated Annealing for Multiuser MIMO Downlink with Successive Zero-Forcing Precoding","year":2013,"lang":"en","type":"article","venue":"International Symposium on Wireless Communication Systems","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":"University of Alberta","funders":"","keywords":"Precoding; Telecommunications link; MIMO; Computer science; Simulated annealing; Zero-forcing precoding; Electronic engineering; Control theory (sociology); Telecommunications; Algorithm; Engineering","score_opus":0.013030060941464939,"score_gpt":0.24679281506357606,"score_spread":0.23376275412211112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2396891144","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":[0.11664008,0.00030840145,0.87796396,0.0002733494,0.0008056937,0.0018949305,0.000038706286,0.00063336577,0.0014415169],"genre_scores_gemma":[0.9861433,0.00010758389,0.012050841,0.000038815335,0.0001747088,0.0007838341,0.00038231452,0.00013620233,0.0001824274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979411,0.00010193246,0.0008667661,0.00037906496,0.00035021282,0.0003609755],"domain_scores_gemma":[0.9971955,0.0006382191,0.00040425782,0.00075392885,0.0008911165,0.00011699266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029918662,0.00036336863,0.0003835624,0.00022996608,0.0002979713,0.00034964958,0.0007871268,0.00019759814,0.000017005033],"category_scores_gemma":[0.00004781154,0.00035060625,0.00008759467,0.00024234908,0.00004441848,0.0010048451,0.00007548589,0.0002856315,0.00005234678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038742284,0.00003289715,0.0005169068,0.00009582344,0.00017796113,5.33303e-7,0.0005800115,0.97320783,0.022783509,0.0015791905,0.00004084495,0.0009457522],"study_design_scores_gemma":[0.00088067993,0.000041976,0.000025377158,0.0008823633,0.000019792707,0.000009514164,0.00030115794,0.9913326,0.0057368306,0.00008436238,0.00027557273,0.0004098028],"about_ca_topic_score_codex":0.00041324177,"about_ca_topic_score_gemma":0.000034779627,"teacher_disagreement_score":0.8695032,"about_ca_system_score_codex":0.00051165675,"about_ca_system_score_gemma":0.00002010108,"threshold_uncertainty_score":0.9998946},"labels":[],"label_agreement":null},{"id":"W2397296965","doi":"10.1109/twc.2016.2572084","title":"Hybrid ARQ in Multicell MU-SIMO With Large-Scale Antenna Arrays","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Scale (ratio); Telecommunications; Physics","score_opus":0.012626085971042103,"score_gpt":0.22876300179927198,"score_spread":0.21613691582822986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397296965","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":[0.02334466,0.000099368415,0.97418797,0.0003160022,0.00016779074,0.00042569631,0.00012513858,0.0004970512,0.00083634787],"genre_scores_gemma":[0.97865856,0.0009938233,0.019500855,0.000028753591,0.000013419666,0.0003170762,0.000011932836,0.00008507176,0.00039052856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988075,0.00009029252,0.00038427603,0.00023957904,0.00013408289,0.00034426397],"domain_scores_gemma":[0.9978405,0.0002638614,0.000062551066,0.0016448987,0.000091469716,0.00009666886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012481514,0.00023482241,0.0002559025,0.0002678491,0.00021245518,0.00002391062,0.0005358501,0.00008037534,0.0000374953],"category_scores_gemma":[0.0000035193116,0.00019537314,0.000062246625,0.00038383168,0.00011574946,0.00038706587,0.000003871612,0.00032219794,0.00013249804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060661998,0.0007488637,0.00021164847,0.000070050686,0.00009301206,0.0000062481204,0.0012514957,0.93346304,0.045153983,0.00030678243,0.00006451514,0.018569697],"study_design_scores_gemma":[0.003424122,0.000102141435,0.00022302731,0.0008777115,0.00006346398,0.00002565278,0.00054083165,0.94165576,0.049181286,0.000082568964,0.0029638426,0.000859625],"about_ca_topic_score_codex":0.000027912278,"about_ca_topic_score_gemma":0.0019404115,"teacher_disagreement_score":0.95531386,"about_ca_system_score_codex":0.0002203953,"about_ca_system_score_gemma":0.00002734088,"threshold_uncertainty_score":0.7967085},"labels":[],"label_agreement":null},{"id":"W2398409936","doi":"10.1109/comst.2016.2571730","title":"Ultra-Dense Networks: A Survey","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":926,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cloud computing; Software deployment; Data science; Mobile broadband; Visualization; Efficient energy use; Telecommunications; Distributed computing; Wireless; Engineering","score_opus":0.04419951171947901,"score_gpt":0.2800718721183708,"score_spread":0.2358723603988918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398409936","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":[0.00410695,0.0013317756,0.9851862,0.00008620719,0.0049448716,0.0005086238,0.000211861,0.00097497157,0.0026484965],"genre_scores_gemma":[0.99305356,0.0022857056,0.003263382,0.000013012832,0.00047908488,0.00014547983,0.000118784104,0.00009667638,0.00054431526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9960388,0.0025359266,0.0006717181,0.00023166928,0.00015511978,0.00036679162],"domain_scores_gemma":[0.99341077,0.0032456631,0.0001366083,0.0027520978,0.00033627255,0.00011856796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042996635,0.00024878434,0.0003728585,0.00011746275,0.00018767203,0.000057195375,0.0010112254,0.00017453555,0.000045331908],"category_scores_gemma":[0.0009206009,0.00021111293,0.00007247468,0.000512734,0.00016007536,0.00040139645,0.00006027257,0.0001516551,0.00023666561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000708896,0.00044541972,0.03618178,0.000113964146,0.00081563846,0.0000074682475,0.0012007857,0.65009314,0.16788745,0.0039847605,0.06725077,0.071947955],"study_design_scores_gemma":[0.020062841,0.00059267005,0.26269156,0.00329721,0.0005889844,0.00018348484,0.0004745414,0.17462036,0.086459056,0.005493738,0.43092352,0.01461206],"about_ca_topic_score_codex":0.00022316878,"about_ca_topic_score_gemma":0.0012764669,"teacher_disagreement_score":0.9889466,"about_ca_system_score_codex":0.00021949643,"about_ca_system_score_gemma":0.000041753778,"threshold_uncertainty_score":0.86089355},"labels":[],"label_agreement":null},{"id":"W2398904317","doi":"10.1007/s11276-016-1299-7","title":"Power control and clustering in heterogeneous cellular networks","year":2016,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Advanced MIMO Systems Optimization","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 du Québec à Montréal; Concordia University","funders":"","keywords":"Computer science; Base station; Cellular network; Macro; Power control; Interference (communication); Small cell; Cluster analysis; Computer network; Heuristic; Optimization problem; Heterogeneous network; Distributed computing; Mathematical optimization; Power (physics); Algorithm; Telecommunications; Wireless network; Wireless; Mathematics","score_opus":0.003608190083120832,"score_gpt":0.17803261821263297,"score_spread":0.17442442812951214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398904317","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":[0.053559892,0.0024107057,0.94278634,0.000017508606,0.00051843945,0.00024160255,0.0000020125626,0.00022814395,0.0002353621],"genre_scores_gemma":[0.99892455,0.00040046044,0.0003093461,0.000035187626,0.0001843748,0.00002640328,0.0000026525963,0.000072244715,0.00004476487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897265,0.00003788173,0.0002937724,0.00022645594,0.000063286774,0.00040592853],"domain_scores_gemma":[0.9995455,0.000089177556,0.00004170113,0.00021683636,0.000019363408,0.00008740904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113248614,0.00019839969,0.00025979534,0.00006374388,0.000034345154,0.000026211836,0.00009373398,0.00017921608,0.000016542976],"category_scores_gemma":[0.0000051606326,0.00016728051,0.000031338433,0.000120960874,0.00003363563,0.00014756428,0.000033344106,0.00013208477,0.00000470605],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016624743,0.00000453047,0.0011367537,0.000011289014,0.00001579814,0.000025175354,0.000038716084,0.98781055,0.0009098185,0.000026878104,0.000039737974,0.009964099],"study_design_scores_gemma":[0.0010636528,0.000016547678,0.00018981897,0.00016767778,0.000004738603,0.000015311281,0.000008885497,0.9980351,0.00009070269,0.00001291866,0.00016680692,0.00022784605],"about_ca_topic_score_codex":0.000004192016,"about_ca_topic_score_gemma":0.000051054325,"teacher_disagreement_score":0.94536465,"about_ca_system_score_codex":0.00008379516,"about_ca_system_score_gemma":0.000002940419,"threshold_uncertainty_score":0.6821501},"labels":[],"label_agreement":null},{"id":"W2400003255","doi":"10.1007/978-3-319-04822-2","title":"Architectures of Small-Cell Networks and Interference Management","year":2014,"lang":"en","type":"book","venue":"SpringerBriefs in computer science","topic":"Advanced MIMO Systems 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":"McGill University","funders":"","keywords":"Interference (communication); Computer science; Computer network; Channel (broadcasting)","score_opus":0.006614619712797319,"score_gpt":0.1911467581690599,"score_spread":0.1845321384562626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2400003255","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":[0.00041662698,0.00047547842,0.9451356,0.000002011635,0.00074293284,0.0002850243,0.0000010315325,0.00010048568,0.052840818],"genre_scores_gemma":[0.5200692,0.0005692554,0.46541223,0.00009246675,0.00058066234,0.00004708497,0.000007676071,0.00015567137,0.013065797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986504,0.000013936163,0.00038225733,0.00046951117,0.00017273857,0.00031117184],"domain_scores_gemma":[0.9992333,0.000058925296,0.00011381277,0.00047691297,0.000044679644,0.00007238789],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033871704,0.0002597172,0.00033747213,0.00041542464,0.000034899153,0.00005497469,0.00064215006,0.00010548263,0.000002876493],"category_scores_gemma":[0.0000039648544,0.00027680869,0.00003098956,0.00023878741,0.00028805944,0.00006071587,0.0004745261,0.00029328014,0.0000022456875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015704841,0.0000043204677,0.000034602006,0.0004973105,0.0000060563507,0.00000510506,0.00011005089,0.95465493,0.000020122196,0.0010074724,0.00005239518,0.043606035],"study_design_scores_gemma":[0.00017261821,0.00003781334,0.00022202375,0.0008925868,0.000007760719,0.000006168549,0.0000011163021,0.99656177,0.0002139776,0.0007931289,0.0007835287,0.00030751718],"about_ca_topic_score_codex":0.00000347191,"about_ca_topic_score_gemma":0.00001802672,"teacher_disagreement_score":0.51965255,"about_ca_system_score_codex":0.00014309345,"about_ca_system_score_gemma":0.000032537857,"threshold_uncertainty_score":0.9999684},"labels":[],"label_agreement":null},{"id":"W2401735535","doi":"10.1007/978-3-319-19746-3_3","title":"A Stackelberg Game Based Inter-tier Spectrum Sharing Scheme Exploiting LTE-A SON Techniques","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","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":"Communications Research Centre Canada","funders":"","keywords":"Stackelberg competition; Scheme (mathematics); Computer science; Computer network; Mathematics; Mathematical economics","score_opus":0.03153032010543971,"score_gpt":0.2493125469991836,"score_spread":0.21778222689374388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2401735535","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":[0.00010887872,0.00042928636,0.99499494,0.00013313201,0.0004157541,0.000592765,0.00005736742,0.00028598972,0.0029819135],"genre_scores_gemma":[0.028100075,0.00006764618,0.9713216,0.00004338774,0.00021759912,0.00005101474,0.000078324236,0.000061903855,0.000058459264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986834,0.0000054408483,0.00069797353,0.0001483441,0.00019878033,0.00026608503],"domain_scores_gemma":[0.998821,0.00012205929,0.0003277227,0.0005185839,0.0001540632,0.000056521258],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034217487,0.0003436405,0.0004136995,0.00028055586,0.0003226104,0.00015196644,0.0010061123,0.00024147502,0.0000018869431],"category_scores_gemma":[0.000057242934,0.00031328708,0.00015100611,0.00019348951,0.00020909676,0.00042274524,0.0003870033,0.00046259552,6.657853e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011509368,0.0000041451453,0.0000025252489,0.00033392682,0.000045437257,5.999366e-8,0.0006276543,0.9891846,0.000026202018,0.0050249123,0.00004777536,0.004701581],"study_design_scores_gemma":[0.00015329261,0.00003675683,0.0000012793936,0.0006314581,0.000030532854,0.000005229189,0.000007660104,0.9798466,0.0004829266,0.0007948487,0.017660458,0.00034894166],"about_ca_topic_score_codex":0.000015984324,"about_ca_topic_score_gemma":0.000054369862,"teacher_disagreement_score":0.027991198,"about_ca_system_score_codex":0.00021734467,"about_ca_system_score_gemma":0.00008789461,"threshold_uncertainty_score":0.99993193},"labels":[],"label_agreement":null},{"id":"W2402349153","doi":"10.5383/juspn.05.01.001","title":"Detecting Primary User Emulation Attacks in Cognitive Radio Networks via Physical Layer Network Coding","year":2013,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Emulation; Computer science; Cognitive radio; RSS; Physical layer; Computer network; Coding (social sciences); Linear network coding; Wireless; Real-time computing; Telecommunications","score_opus":0.012106734892490338,"score_gpt":0.23403224836084421,"score_spread":0.22192551346835387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2402349153","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":[0.29143244,0.0061112167,0.6996873,0.0000096828035,0.0017426228,0.0006485862,0.000001190641,0.000063059466,0.0003038793],"genre_scores_gemma":[0.9936752,0.00063588074,0.00058643566,0.00003817461,0.004879937,0.000040904422,0.000008399049,0.000086652784,0.000048422964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977878,0.00019277808,0.0009843088,0.00023296887,0.00023922505,0.0005629522],"domain_scores_gemma":[0.9981541,0.0005832033,0.0005404927,0.00014256545,0.00039576384,0.0001838886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005433482,0.00034306446,0.00079356035,0.00015971475,0.00014830372,0.0001735842,0.0001333824,0.00028114393,0.000009347404],"category_scores_gemma":[0.000043428023,0.00031657983,0.00013036576,0.0003899106,0.000039280174,0.00083158474,0.000044829754,0.0007741406,0.0000029370592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035342822,0.000016612194,0.01045247,0.00011545815,0.000106188825,0.00003000869,0.00052183407,0.9820239,0.00037567943,0.000015237413,0.00060698355,0.005700315],"study_design_scores_gemma":[0.00095948006,0.00012965416,0.008349843,0.0014542555,0.00006136831,0.0003340361,0.000439518,0.9877859,0.000020503381,0.00003127943,0.0000977498,0.0003364502],"about_ca_topic_score_codex":0.00006390642,"about_ca_topic_score_gemma":0.000036672405,"teacher_disagreement_score":0.70224273,"about_ca_system_score_codex":0.00025442778,"about_ca_system_score_gemma":0.000022704537,"threshold_uncertainty_score":0.99992865},"labels":[],"label_agreement":null},{"id":"W2405733033","doi":"10.1007/978-3-319-06284-6","title":"Cognitive Resource Management for Heterogeneous Cellular Networks","year":2014,"lang":"en","type":"book","venue":"Springer briefs in electrical and computer engineering","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":"University of Waterloo","funders":"","keywords":"Cognition; Resource (disambiguation); Computer science; Cognitive science; Psychology; Neuroscience; Computer network","score_opus":0.003980102973839537,"score_gpt":0.1718913319321643,"score_spread":0.16791122895832475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405733033","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":[0.00005818849,0.0036177586,0.99081314,0.000002559888,0.00036132793,0.00073226314,0.000004326699,0.0004126437,0.003997823],"genre_scores_gemma":[0.44438222,0.005473126,0.34582567,0.0012879435,0.024566274,0.004060318,0.0020101776,0.0053097187,0.16708457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842834,0.000011673627,0.00042365366,0.00047453574,0.00012133332,0.0005404805],"domain_scores_gemma":[0.9994424,0.00016873442,0.00005315357,0.00019602204,0.000029493249,0.000110224835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011787357,0.00045641075,0.00052276754,0.00029429572,0.000034992117,0.00005543549,0.00016472452,0.00031548887,0.0000017929152],"category_scores_gemma":[0.0000049285245,0.000544914,0.000101530895,0.000143843,0.000015157617,0.00004722532,0.00009089793,0.00044908418,0.0000031569816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009960871,0.000007364592,0.0000027039077,0.00047305194,0.00011360268,0.000030721018,0.000019078272,0.9662417,0.0000051560746,0.0012040577,0.0006485269,0.031244043],"study_design_scores_gemma":[0.0004996073,0.00006106092,0.000009678101,0.00053599797,0.00004754103,0.000015258167,3.402341e-7,0.9431412,0.00006023446,0.000108587075,0.054977346,0.0005431546],"about_ca_topic_score_codex":5.913777e-7,"about_ca_topic_score_gemma":8.8129434e-7,"teacher_disagreement_score":0.64498746,"about_ca_system_score_codex":0.00023554922,"about_ca_system_score_gemma":0.0000070520628,"threshold_uncertainty_score":0.99970025},"labels":[],"label_agreement":null},{"id":"W2405912206","doi":"","title":"Channel simulation with large-scale time evolution in irregular cellular networks","year":2014,"lang":"en","type":"article","venue":"Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cellular network; Distributed computing; Resource allocation; Scale (ratio); Path (computing); Base station; Computer network","score_opus":0.005736644191549156,"score_gpt":0.18162330962069057,"score_spread":0.17588666542914141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405912206","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":[0.06815848,0.00023180079,0.9201906,0.000038710772,0.0001026985,0.0004851406,0.0000035323524,0.00032624448,0.010462823],"genre_scores_gemma":[0.9980297,0.0000059270433,0.0012744407,0.000018949007,0.00021488765,0.000011536484,0.00001030464,0.00011324119,0.00032099773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982018,0.000053174514,0.0005384387,0.00040537704,0.00031871133,0.00048249983],"domain_scores_gemma":[0.9988705,0.00003307445,0.0003557,0.00018152143,0.0004700712,0.00008916156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009097682,0.00034379459,0.0003622341,0.0001719224,0.00018395824,0.00012717533,0.0004942904,0.0001160228,0.000023547389],"category_scores_gemma":[0.00004611018,0.00027720476,0.00005891048,0.0005170296,0.000116299765,0.0007433783,0.000107505024,0.00033668044,0.00002914614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035444475,0.00003350811,0.00059374573,0.00027816935,0.000011187257,4.4691652e-7,0.00071133144,0.9727866,0.023892656,0.00012373629,0.000087246364,0.0014459309],"study_design_scores_gemma":[0.00060385966,0.000071293674,0.0009906795,0.00093102886,0.00003361845,0.000004169008,0.00020031977,0.9933934,0.0029175635,0.00035471292,0.00014648674,0.00035284113],"about_ca_topic_score_codex":0.000004951717,"about_ca_topic_score_gemma":0.000005155118,"teacher_disagreement_score":0.92987126,"about_ca_system_score_codex":0.000109460365,"about_ca_system_score_gemma":0.000032922315,"threshold_uncertainty_score":0.999968},"labels":[],"label_agreement":null},{"id":"W2406289066","doi":"10.1109/icassp.2016.7472337","title":"Low-complexity robust multi-cell MISO downlink precoder design","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Telecommunications link; Base station; Robustness (evolution); Computer science; Computational complexity theory; Channel state information; Iterative method; Simple (philosophy); Mathematical optimization; Cellular radio; Channel (broadcasting); Precoding; Algorithm; Computer network; Wireless; MIMO; Mathematics; Telecommunications","score_opus":0.05012261605922289,"score_gpt":0.22793999344639307,"score_spread":0.17781737738717018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406289066","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":[0.0005181753,0.00009582412,0.9929258,0.000031562828,0.00027108283,0.00033303513,0.000007707871,0.00077431154,0.0050424496],"genre_scores_gemma":[0.34070912,0.000044859506,0.65134186,0.000022816226,0.00008518663,0.000038464634,0.0000052023724,0.00006536136,0.007687146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921423,0.000029214958,0.00023036344,0.00019614644,0.00007281523,0.0002572066],"domain_scores_gemma":[0.9994854,0.00007199314,0.000029640434,0.0002789685,0.000053491978,0.00008054377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000963495,0.00016394725,0.0001486554,0.000051796193,0.000037502494,0.000016626012,0.00012602411,0.00009025875,0.00052984554],"category_scores_gemma":[0.00002591788,0.000116660354,0.000037001402,0.0000873381,0.000026886575,0.00025380336,0.000019482752,0.000056726396,0.00050776865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055141845,0.00004112943,0.00006583124,0.000062911306,0.000009597007,0.0000014393863,0.000063984844,0.9649758,0.028714739,0.000055109114,0.0024403336,0.003563666],"study_design_scores_gemma":[0.0015140906,0.000022787965,0.00009578853,0.00007245056,0.000009322905,0.0000043819286,0.000024482133,0.8625288,0.13419992,0.000127773,0.0009795493,0.00042066234],"about_ca_topic_score_codex":0.000006881415,"about_ca_topic_score_gemma":0.000020919098,"teacher_disagreement_score":0.34158403,"about_ca_system_score_codex":0.00009892798,"about_ca_system_score_gemma":0.000009833177,"threshold_uncertainty_score":0.65265083},"labels":[],"label_agreement":null},{"id":"W2407603800","doi":"10.1109/icassp.2016.7472342","title":"Energy-efficient pilot and data power allocation in massive MIMO communication systems based on MMSE channel estimation","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Computer science; Channel (broadcasting); Power (physics); Energy (signal processing); 3G MIMO; Multi-user MIMO; Precoding; Efficient energy use; Estimation; Electronic engineering; Telecommunications; Computer network; Electrical engineering; Engineering; Statistics; Mathematics; Systems engineering","score_opus":0.02371608457590851,"score_gpt":0.24767135087484038,"score_spread":0.22395526629893187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407603800","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":[0.0028550168,0.00022565128,0.9943555,0.00024133165,0.00016602049,0.00033889042,0.000023846129,0.00020820393,0.0015855173],"genre_scores_gemma":[0.99439055,0.000056639135,0.0051293494,0.000025030005,0.000013081463,0.00008141356,0.0001722831,0.00003149182,0.00010018834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991247,0.000072922136,0.00029117006,0.00024000095,0.0001255619,0.00014562938],"domain_scores_gemma":[0.9988264,0.00015712656,0.00007042857,0.0008428729,0.000057825986,0.00004537907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025742128,0.00013849464,0.0001330679,0.0001884725,0.0000408659,0.000032641634,0.00020120031,0.000060123748,0.000008587155],"category_scores_gemma":[0.000069666356,0.00011027076,0.0000070374244,0.00017140937,0.000022482864,0.00030388235,0.000049431303,0.000046872807,0.000013804835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013588546,0.000036289744,0.000018921644,0.000024473002,0.000004218565,3.853996e-7,0.000047851627,0.9948853,0.0012922446,0.002157092,0.00020756836,0.0013120647],"study_design_scores_gemma":[0.0006308198,0.000043941567,0.00014907823,0.00029648855,0.000004175695,0.0000011265397,0.00006283145,0.997985,0.0005388298,0.0000377643,0.000103371676,0.00014659311],"about_ca_topic_score_codex":0.00008769927,"about_ca_topic_score_gemma":0.00006090355,"teacher_disagreement_score":0.9915355,"about_ca_system_score_codex":0.00018238879,"about_ca_system_score_gemma":0.000012866475,"threshold_uncertainty_score":0.44967112},"labels":[],"label_agreement":null},{"id":"W2407788603","doi":"10.21553/rev-jec.34","title":"Joint Optimization of Precoder and Decoder in Multiuser MIMO Systems","year":2012,"lang":"en","type":"article","venue":"REV Journal on Electronics and Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Telecommunications link; Phase-shift keying; Joint (building); Computer science; MIMO; Algorithm; Keying; Binary number; Transceiver; Electronic engineering; Decoding methods; Bit error rate; Mathematics; Telecommunications; Engineering; Beamforming; Arithmetic; Wireless","score_opus":0.020256872819183484,"score_gpt":0.2513319648733032,"score_spread":0.23107509205411975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2407788603","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":[0.07092304,0.20817547,0.7168574,0.00029620228,0.00024996066,0.00066604465,0.000009017645,0.00007988272,0.0027430414],"genre_scores_gemma":[0.9368503,0.04824808,0.0147975795,0.000008619478,0.000021435762,0.000017037957,0.0000056241042,0.000022070548,0.000029235565],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927473,0.00007949589,0.00034830175,0.000052878662,0.000059732713,0.00018484518],"domain_scores_gemma":[0.9994006,0.000065409025,0.000109543274,0.00029822305,0.000060361348,0.00006583415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003199921,0.00008961113,0.00016580778,0.00013174165,0.000079975376,0.000026987436,0.000105830164,0.000058999787,0.0000028397687],"category_scores_gemma":[0.000026972686,0.00008630591,0.000019037145,0.0001266947,0.000022274377,0.00024751472,0.000029342953,0.0002726176,6.612308e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037252648,0.000053159,0.0009359348,0.000037842925,0.000027179607,7.9816765e-8,0.0003540333,0.99087423,0.00043817222,0.005469924,0.000029998115,0.0017757071],"study_design_scores_gemma":[0.00039945322,0.000044485583,0.0005900457,0.0001852109,0.000018695466,0.0000756704,0.00012810792,0.9955638,0.0001395262,0.00010497227,0.002620378,0.00012964562],"about_ca_topic_score_codex":0.0000043342193,"about_ca_topic_score_gemma":0.000014709153,"teacher_disagreement_score":0.8659273,"about_ca_system_score_codex":0.00010212213,"about_ca_system_score_gemma":0.000016488373,"threshold_uncertainty_score":0.3519453},"labels":[],"label_agreement":null},{"id":"W2408026441","doi":"10.1109/icassp.2016.7472334","title":"Coordinated uplink scheduling and beamforming for wireless cellular networks via sum-of-ratio programming and matching","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Computer science; Beamforming; Scheduling (production processes); Cellular network; Wireless network; Quadratic programming; Mathematical optimization; Optimization problem; Wireless; Computer network; Algorithm; Mathematics; Telecommunications","score_opus":0.006491558872983382,"score_gpt":0.20697011563652054,"score_spread":0.20047855676353715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408026441","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":[0.08017358,0.0004574155,0.91855884,0.000012591698,0.000110740286,0.0004376047,0.0000011658784,0.00020797354,0.00004006764],"genre_scores_gemma":[0.81017464,0.00004378463,0.18960525,0.0000022124134,0.00004831659,0.000036746063,0.0000061583246,0.000040150677,0.000042755833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992667,0.0000070038604,0.0002880488,0.00016748317,0.000041477848,0.00022930375],"domain_scores_gemma":[0.9995971,0.00011683891,0.000064877946,0.00010082573,0.00006236107,0.000058048656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017124915,0.0001425901,0.00020379903,0.00006188411,0.00008037583,0.000029589895,0.000044696786,0.00009593288,0.0000020167224],"category_scores_gemma":[0.000012852526,0.00011417666,0.000021418344,0.00009162777,0.000028672315,0.00032926025,0.000027333195,0.000053187607,2.794576e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016099888,0.00000859514,0.0007876604,0.00045964113,0.000058281148,0.0000010397415,0.0003507509,0.6315687,0.17709252,0.0019282127,0.0000033809008,0.18772511],"study_design_scores_gemma":[0.0005081452,0.000024439962,0.000005836919,0.00022341563,0.00001635835,0.000004861318,0.00016681716,0.9735468,0.025102913,0.00018116043,0.000038856928,0.00018037859],"about_ca_topic_score_codex":0.000010223234,"about_ca_topic_score_gemma":0.000007841243,"teacher_disagreement_score":0.73000103,"about_ca_system_score_codex":0.000028706652,"about_ca_system_score_gemma":0.0000045768966,"threshold_uncertainty_score":0.46559894},"labels":[],"label_agreement":null},{"id":"W2409338078","doi":"10.1017/cbo9781107297333","title":"Design and Deployment of Small Cell Networks","year":2015,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Software deployment; Computer science; Resource (disambiguation); Context (archaeology); Wireless network; Network planning and design; Key (lock); Resource management (computing); Wireless; Systems engineering; Engineering; Telecommunications; Distributed computing; Computer network; Software engineering; Computer security","score_opus":0.018382041992032878,"score_gpt":0.1720683365708479,"score_spread":0.15368629457881502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2409338078","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009815372,0.0007425474,0.5222769,1.5147236e-7,0.00012478245,0.00037352167,0.00002037738,0.00013641812,0.4763155],"genre_scores_gemma":[0.00050219276,0.00026655867,0.0073772594,0.0000031769132,0.00006848329,0.0000015413377,0.00004221249,0.00008693575,0.99165165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926424,0.000045149,0.00017371768,0.00022826725,0.00009802582,0.00019058432],"domain_scores_gemma":[0.99927276,0.000055709257,0.00012466924,0.000296064,0.00012202186,0.00012874597],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000946309,0.00026299225,0.0003560422,0.00011187508,0.000032471416,0.000011308466,0.00019701727,0.0003028229,2.7545545e-7],"category_scores_gemma":[0.0000025436045,0.0003386543,0.000047215188,0.000011480249,0.00006608383,0.000051914158,0.000119796154,0.00022862598,9.5189483e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043147258,0.0000066319917,9.655504e-7,0.00052738533,0.00010292963,0.000054257227,0.00009074198,0.9011683,0.00008583138,0.005255801,0.09212254,0.0005414739],"study_design_scores_gemma":[0.001749462,0.00012549353,0.0000015263495,0.0005495151,0.00045272906,0.000016306254,0.000057485122,0.50270146,0.0022000312,0.0000047236745,0.49113595,0.0010053156],"about_ca_topic_score_codex":0.000013350689,"about_ca_topic_score_gemma":5.524688e-7,"teacher_disagreement_score":0.51533616,"about_ca_system_score_codex":0.00030993266,"about_ca_system_score_gemma":0.00007961917,"threshold_uncertainty_score":0.99990654},"labels":[],"label_agreement":null},{"id":"W2410463341","doi":"10.1109/tvt.2016.2575059","title":"Cooperative Beamforming for Cognitive-Radio-Based Broadcasting Systems in Presence of Asynchronous Interference","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Asynchronous communication; Computer science; Interference (communication); WSDMA; Convex optimization; Optimization problem; Mathematical optimization; Cognitive radio; Transmission (telecommunications); Channel (broadcasting); Single antenna interference cancellation; Broadcasting (networking); Telecommunications; Algorithm; Computer network; Mathematics; Regular polygon; Wireless; Precoding; MIMO","score_opus":0.01177645054450975,"score_gpt":0.23305831654074588,"score_spread":0.22128186599623612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410463341","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.068016924,0.00019874288,0.9302584,0.000032050822,0.00029255214,0.00078395725,0.00006370382,0.00032750334,0.000026156156],"genre_scores_gemma":[0.9926728,0.000028048635,0.0066705905,0.000002710857,0.000010179159,0.0005564672,0.0000020714012,0.000038831437,0.000018270039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989842,0.000028788736,0.00039434384,0.0002508012,0.00007383384,0.0002680076],"domain_scores_gemma":[0.99921095,0.00030989983,0.00007777289,0.00020619242,0.00016643958,0.00002872583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011107059,0.00018051255,0.00030166307,0.0005253659,0.000055720193,0.000007365471,0.00014934619,0.00022555208,0.0000051151205],"category_scores_gemma":[0.00006172164,0.00015740759,0.00004946407,0.00045026187,0.00012286323,0.00016694867,0.0000011669146,0.0001714576,0.000005000448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032978962,0.00004245146,0.00003276539,0.00013466399,0.00003290709,0.0000033908816,0.00006417497,0.8827157,0.09176176,0.00011948878,0.0000010812868,0.025058616],"study_design_scores_gemma":[0.0011671265,0.00025185148,0.000004196231,0.00136107,0.000019619658,0.000017071472,0.00026546873,0.57023853,0.42643407,0.000027774415,0.000020056186,0.00019317887],"about_ca_topic_score_codex":0.000015108305,"about_ca_topic_score_gemma":0.000056960813,"teacher_disagreement_score":0.9246559,"about_ca_system_score_codex":0.00018155304,"about_ca_system_score_gemma":0.000036059304,"threshold_uncertainty_score":0.6418895},"labels":[],"label_agreement":null},{"id":"W2415023907","doi":"10.1049/iet-com.2016.0318","title":"On the capacity and energy efficiency of non‐coherent Rayleigh fading channels with additive Gaussian mixture noise","year":2016,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Rayleigh fading; Upper and lower bounds; Spectral efficiency; Transmitter; Channel capacity; Channel state information; Channel (broadcasting); Fading; Additive white Gaussian noise; Gaussian; Computer science; Efficient energy use; Topology (electrical circuits); Energy (signal processing); Mathematics; Telecommunications; Wireless; Physics; Statistics; Mathematical analysis; Electrical engineering; Engineering","score_opus":0.013036454847476597,"score_gpt":0.21532558816971228,"score_spread":0.2022891333222357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2415023907","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":[0.047089547,0.00056205323,0.93394154,0.0013666401,0.00012618628,0.00039344857,0.00015562032,0.00017283774,0.016192095],"genre_scores_gemma":[0.99669546,0.00039984653,0.0026298142,0.000020342175,0.000015235671,0.000107777734,0.000009530053,0.000020598696,0.00010140907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951506,0.000057017038,0.0001471277,0.00009347352,0.000072082774,0.0001152617],"domain_scores_gemma":[0.998614,0.0003836875,0.00006828954,0.00083196507,0.00006622813,0.00003582057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007228396,0.00010713106,0.00011648852,0.000051303294,0.00013731467,0.0000104360315,0.000305911,0.00004409134,0.00001623839],"category_scores_gemma":[0.000037626516,0.00006068628,0.000019810825,0.00016368725,0.00014774509,0.000091907874,0.000053861393,0.00008813491,0.0000032174253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099361845,0.00064658286,0.0005157587,0.00021531215,0.000608147,0.00000280455,0.022601904,0.37412044,0.20901415,0.34106594,0.005877081,0.045232505],"study_design_scores_gemma":[0.0054331776,0.0010915606,0.0032467109,0.007911357,0.0002902857,0.00007371141,0.0034007744,0.61738265,0.31677634,0.008601328,0.033102192,0.0026899362],"about_ca_topic_score_codex":0.000024328496,"about_ca_topic_score_gemma":0.000078684374,"teacher_disagreement_score":0.9496059,"about_ca_system_score_codex":0.000046270445,"about_ca_system_score_gemma":0.000008942388,"threshold_uncertainty_score":0.24747147},"labels":[],"label_agreement":null},{"id":"W2416356171","doi":"10.1109/hpsr.2015.7483074","title":"Towards 5G: Decentralized routing in FiWi enhanced LTE-A HetNets","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer network; Backhaul (telecommunications); Computer science; Heterogeneous network; Wireless; Mobile broadband; Ethernet; Wireless network; Telecommunications; Base station","score_opus":0.019265113632150437,"score_gpt":0.2541682728530322,"score_spread":0.23490315922088173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416356171","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":[0.04677398,0.0002032343,0.893616,0.000031506293,0.0005081367,0.0002632344,0.0000014804167,0.00060364825,0.057998776],"genre_scores_gemma":[0.97793865,0.000031049924,0.021581836,0.000023894343,0.000039755443,0.00002092671,0.000010117753,0.000034005614,0.00031978168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991607,0.00002145959,0.00027568705,0.00014376684,0.00011002222,0.00028838008],"domain_scores_gemma":[0.99964625,0.000016600507,0.000025604428,0.00016285731,0.000046328918,0.0001023531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014375856,0.00012977755,0.00017940211,0.00007238104,0.0000124159205,0.000021137874,0.000091730835,0.00007320814,0.000051776024],"category_scores_gemma":[0.000102319835,0.00013127305,0.000023459957,0.00024185391,0.00000769936,0.00023494002,0.00001622045,0.00008660596,0.000063282554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009920441,0.000012750821,0.000365496,0.000022937644,0.000009027648,0.0000048774637,0.0010039448,0.9868472,0.0055386,0.0008044242,0.0005018106,0.004878963],"study_design_scores_gemma":[0.0031539053,0.00003547459,0.0004757891,0.00012857412,0.0000081498,0.000009431952,0.0008484595,0.86814433,0.12387176,0.0006179596,0.0020863775,0.0006197657],"about_ca_topic_score_codex":0.00007408974,"about_ca_topic_score_gemma":0.00015165847,"teacher_disagreement_score":0.9311647,"about_ca_system_score_codex":0.00021636386,"about_ca_system_score_gemma":0.000023663102,"threshold_uncertainty_score":0.535316},"labels":[],"label_agreement":null},{"id":"W2416574153","doi":"10.1002/wcm.2686","title":"Mesh adaptive direct search approach for D2D resource management","year":2016,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Mathematical optimization; Interference (communication); Resource allocation; Cellular network; Constraint (computer-aided design); Integer (computer science); Optimization problem; Wireless network; Wireless; Distributed computing; Algorithm; Computer network; Channel (broadcasting); Mathematics; Telecommunications","score_opus":0.023158609137903227,"score_gpt":0.25563052248587054,"score_spread":0.2324719133479673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416574153","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":[0.003046352,0.0012336909,0.97979945,0.00002389492,0.000028617635,0.0008176774,0.000014637491,0.00028760018,0.014748098],"genre_scores_gemma":[0.8553638,0.0006359312,0.14344445,0.0000065287054,0.000027543696,0.00026549937,0.000024155754,0.00003452347,0.00019761083],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992674,0.00005879301,0.00021873829,0.00018453307,0.0000626593,0.000207864],"domain_scores_gemma":[0.9988543,0.0002638084,0.00003960496,0.00073374854,0.000058765378,0.00004982146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025302073,0.00012042311,0.00016050905,0.00007837553,0.00026730835,0.000027876671,0.00033607363,0.000044629298,0.0000010454291],"category_scores_gemma":[0.0000031709762,0.000102927166,0.000033810695,0.00014017026,0.00007305933,0.000084077044,0.00027949834,0.00007125485,0.0000017223607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000108315535,0.00006296825,0.000107143154,0.0001976978,0.00011014064,2.9895068e-7,0.0011290493,0.19250292,0.0009333129,0.010038931,0.0003028937,0.7946038],"study_design_scores_gemma":[0.00042099567,0.000029233244,0.000026234795,0.00014373806,0.0000137752495,0.0000026551659,0.000986946,0.9890464,0.00025649738,0.000026866725,0.008876218,0.00017041668],"about_ca_topic_score_codex":0.0000036969782,"about_ca_topic_score_gemma":0.000001406863,"teacher_disagreement_score":0.8523174,"about_ca_system_score_codex":0.00007082729,"about_ca_system_score_gemma":0.0000045366246,"threshold_uncertainty_score":0.4197248},"labels":[],"label_agreement":null},{"id":"W2418350050","doi":"10.1049/iet-com.2016.0473","title":"Energy‐efficient pilot and data power allocation in massive multi‐user multiple‐input multiple‐output communication systems","year":2016,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Power (physics); Energy (signal processing); Communications system; Efficient energy use; Real-time computing; Computer network; Statistics; Electrical engineering; Mathematics","score_opus":0.048873347634488425,"score_gpt":0.27610058841577706,"score_spread":0.22722724078128864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418350050","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":[0.010887855,0.007854569,0.9765754,0.0012116687,0.00033017102,0.0011729328,0.0003291457,0.0006565976,0.0009816587],"genre_scores_gemma":[0.9658954,0.002799132,0.02999887,0.000027034595,0.000019462985,0.0003655699,0.0005078543,0.000081479535,0.00030517922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980807,0.00034345826,0.0007016899,0.00038870497,0.00017124672,0.0003142317],"domain_scores_gemma":[0.9930626,0.0010075009,0.00019070356,0.0054217936,0.00020626406,0.00011113282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004708754,0.00027442764,0.0002918451,0.00025954624,0.00022921982,0.00008075274,0.0017578498,0.0001388521,0.000005165922],"category_scores_gemma":[0.000372189,0.00025009032,0.000026362779,0.00037875198,0.00019839914,0.0006155833,0.00088637957,0.00021527016,0.00003226824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005631807,0.00081521185,0.01231412,0.00012147587,0.0001749705,0.0000023477237,0.00251052,0.93407094,0.023056816,0.014768249,0.002212608,0.009896444],"study_design_scores_gemma":[0.001711512,0.000023261813,0.0032042596,0.000376588,0.000018672155,0.0000065289883,0.00049601874,0.98082316,0.00017309187,0.000023374561,0.012780891,0.00036265873],"about_ca_topic_score_codex":0.0004716409,"about_ca_topic_score_gemma":0.0019927141,"teacher_disagreement_score":0.95500755,"about_ca_system_score_codex":0.00029962792,"about_ca_system_score_gemma":0.0000356617,"threshold_uncertainty_score":0.9999951},"labels":[],"label_agreement":null},{"id":"W2419972552","doi":"10.1109/chinacom.2015.7497942","title":"Asymptotic SEP analysis for correlated large MIMO channels with ZF-DF detection","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"MIMO; Transmitter; Precoding; Channel state information; Toeplitz matrix; Topology (electrical circuits); Computer science; Channel (broadcasting); Algorithm; Bit error rate; Entropy (arrow of time); Diagonal; Antenna (radio); Mathematics; Control theory (sociology); Telecommunications; Wireless; Physics; Combinatorics","score_opus":0.01183304018265328,"score_gpt":0.21557891482538022,"score_spread":0.20374587464272695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419972552","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":[0.011308311,0.000067237015,0.98594654,0.0000073729375,0.00033499117,0.0003642798,0.0000073811098,0.0005792928,0.0013846251],"genre_scores_gemma":[0.9892031,0.0000026885991,0.009218909,0.000011341139,0.00006046873,0.00007201145,0.000055629927,0.000042532683,0.0013333156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993281,0.000012374683,0.00017959763,0.0001623044,0.00009277663,0.00022485608],"domain_scores_gemma":[0.9995104,0.000026703996,0.000039764123,0.0001753072,0.00015406292,0.00009374447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011473712,0.00013431127,0.00020253181,0.00020543458,0.00004076622,0.000024676798,0.00005246715,0.00008695383,0.000022062497],"category_scores_gemma":[0.00003023263,0.000116819734,0.000054441138,0.0007642371,0.0000063126886,0.000208027,0.000007587672,0.00005962403,0.00003174047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016921867,0.0000096605745,0.00047829413,0.0000188559,0.00027287315,7.2376247e-7,0.00016214103,0.9984621,0.0001943137,0.00004790542,0.00013037292,0.00020585678],"study_design_scores_gemma":[0.000814055,0.0000779111,0.00007094695,0.000009590937,0.00022469644,0.000004369151,0.00019312296,0.994588,0.0030272373,0.000032471387,0.0007818141,0.0001757698],"about_ca_topic_score_codex":0.000016999074,"about_ca_topic_score_gemma":0.00024007732,"teacher_disagreement_score":0.9778948,"about_ca_system_score_codex":0.00011989265,"about_ca_system_score_gemma":0.0000091898955,"threshold_uncertainty_score":0.47637704},"labels":[],"label_agreement":null},{"id":"W2435702290","doi":"10.1109/lwc.2016.2537819","title":"CoV-Based Metrics for Quantifying the Regularity of Hard-Core Point Processes for Modeling Base Station Locations","year":2016,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ministry of Higher Education and Scientific Research","keywords":"Point process; Stochastic geometry; Base station; Computer science; Base (topology); Point (geometry); Lattice (music); Poisson distribution; Poisson point process; Metric (unit); Core (optical fiber); Stochastic process; Range (aeronautics); Homogeneous; Wireless network; Statistical physics; Wireless; Mathematics; Statistics; Geometry; Mathematical analysis; Physics; Telecommunications; Engineering","score_opus":0.11131855965708255,"score_gpt":0.3071100871076363,"score_spread":0.19579152745055378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2435702290","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":[0.025520634,0.00029962682,0.96830326,0.004073348,0.0001295368,0.001208929,0.00027254783,0.00018383279,0.000008308912],"genre_scores_gemma":[0.8145942,0.000110301764,0.18398035,0.0001399074,0.000024998564,0.000967697,0.000126092,0.00005141438,0.0000050217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897915,0.000053077987,0.00049280666,0.00016770375,0.00010969502,0.00019756689],"domain_scores_gemma":[0.99642384,0.0015198542,0.00018934923,0.001242737,0.0005946042,0.000029623183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004190091,0.00015302683,0.0001980716,0.00020038545,0.00031956064,0.000029799,0.00061368046,0.000062835585,5.835243e-7],"category_scores_gemma":[0.00036621979,0.00011956485,0.000079449565,0.0005040003,0.00011102494,0.0003174557,0.000023484967,0.000082266066,0.0000010309825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014747749,0.0000357502,0.000115955285,0.0004107886,0.00004149158,2.0619966e-8,0.00023239311,0.85682315,0.13761581,0.0022774884,0.00039358527,0.002038832],"study_design_scores_gemma":[0.00057796715,0.000013337819,0.000010980673,0.00022811077,0.000056779692,5.513077e-7,0.00014006732,0.9612949,0.037078198,0.00022191003,0.00021509956,0.00016208153],"about_ca_topic_score_codex":0.000024625746,"about_ca_topic_score_gemma":0.0001526276,"teacher_disagreement_score":0.7890736,"about_ca_system_score_codex":0.00015783634,"about_ca_system_score_gemma":0.00007520594,"threshold_uncertainty_score":0.4875713},"labels":[],"label_agreement":null},{"id":"W2463910753","doi":"10.1002/wcm.2705","title":"A context‐aware cognitive SIMO transceiver for enhanced throughput on the downlink of LTE HetNet","year":2016,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Throughput; Telecommunications link; Channel (broadcasting); Link adaptation; Context (archaeology); Transceiver; Signal-to-noise ratio (imaging); Computer network; Telecommunications; Wireless; Fading","score_opus":0.02065443028309472,"score_gpt":0.26525286918221513,"score_spread":0.24459843889912042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463910753","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":[0.16286018,0.0007462042,0.8345098,0.00013968823,0.000051396357,0.00089068426,0.000089117406,0.00011070174,0.0006022228],"genre_scores_gemma":[0.9975246,0.0006665385,0.0014728074,0.000037587335,0.000022114455,0.00020516383,0.000021299335,0.000028156192,0.000021735248],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931,0.00006207258,0.00028742637,0.00013683719,0.000054137523,0.00014951378],"domain_scores_gemma":[0.9977045,0.0014995568,0.00009800093,0.00051373255,0.0001564827,0.00002769608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015107045,0.00012877918,0.00019901089,0.00003751096,0.00021351207,0.00001375588,0.0002689548,0.000054233664,0.0000044558933],"category_scores_gemma":[0.000026422722,0.00008702774,0.0000528195,0.00010182915,0.0001544086,0.000079040394,0.00005680201,0.00008897836,0.0000022578386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006514334,0.00017059353,0.0001431508,0.00028606228,0.0002490289,2.6066328e-7,0.009096211,0.053975493,0.058914103,0.023652436,0.00011510165,0.8533324],"study_design_scores_gemma":[0.0031565814,0.00034820108,0.00014552691,0.0028884392,0.00008114986,0.0000045791594,0.005693535,0.9105721,0.0718699,0.0005188927,0.0041203103,0.0006007722],"about_ca_topic_score_codex":0.0000059291524,"about_ca_topic_score_gemma":0.000018425906,"teacher_disagreement_score":0.8565966,"about_ca_system_score_codex":0.000029271954,"about_ca_system_score_gemma":0.000011489075,"threshold_uncertainty_score":0.35488883},"labels":[],"label_agreement":null},{"id":"W2467535854","doi":"10.1109/glocom.2016.7842084","title":"Optimal Energy Allocation for Delay-Constrained Traffic over Fading Multiple Access Channels","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fading; Resource allocation; Channel (broadcasting); Convex optimization; Throughput; Channel state information; Base station; Optimization problem; Transmission (telecommunications)","score_opus":0.016161223716849273,"score_gpt":0.24563504999650243,"score_spread":0.22947382627965315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2467535854","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":[0.029939165,0.00004075158,0.96815526,0.000041403182,0.0004510611,0.00027166144,0.00001465586,0.00054198434,0.0005440506],"genre_scores_gemma":[0.97645414,0.000021839065,0.022355827,0.000021441929,0.00018045263,0.0001889958,0.000025087189,0.000055198994,0.0006970429],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923,0.000008544721,0.00024020704,0.00019484757,0.000067447516,0.00025890573],"domain_scores_gemma":[0.9995434,0.0001387769,0.000040065785,0.00014993103,0.00006520647,0.00006261281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067705834,0.00015258772,0.00014342723,0.00010026284,0.000049590035,0.000040677376,0.000135671,0.00009032809,0.00006249743],"category_scores_gemma":[0.000039837607,0.00012112714,0.00005105162,0.00010952821,0.000017172984,0.0006591363,0.000016543381,0.000022982142,0.000006345888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010424078,0.000007301918,0.000014829173,0.000023138906,0.000023796161,4.2465442e-7,0.000055793906,0.96714765,0.017690387,0.00090540294,0.00042396822,0.013696901],"study_design_scores_gemma":[0.0010083645,0.000019461319,0.0000088199695,0.000042931028,0.000008081273,0.0000045407064,0.000025917145,0.96649075,0.030940006,0.000034780798,0.0011988069,0.00021751827],"about_ca_topic_score_codex":0.000007528909,"about_ca_topic_score_gemma":0.00003911022,"teacher_disagreement_score":0.94651496,"about_ca_system_score_codex":0.000103929386,"about_ca_system_score_gemma":0.00001173699,"threshold_uncertainty_score":0.49394214},"labels":[],"label_agreement":null},{"id":"W2469255228","doi":"10.1017/cbo9781107297333.013","title":"Energy efficient strategies with BS sleep mode in green small cell networks","year":2015,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Sleep mode; Base station; Computer science; Cellular network; Energy consumption; Efficient energy use; Computer network; Protocol (science); Mode (computer interface); Energy (signal processing); Distributed computing; Engineering; Human–computer interaction; Power consumption","score_opus":0.012779013318901808,"score_gpt":0.16774296922361917,"score_spread":0.15496395590471737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469255228","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007493373,0.00038545704,0.35230598,4.8439597e-7,0.000119329496,0.00022521026,0.000049133283,0.00022551212,0.64661396],"genre_scores_gemma":[0.060506947,0.000088406465,0.0008800254,0.000006185414,0.00013867527,0.0000032556238,0.00014170198,0.0001755318,0.9380593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988445,0.00002390071,0.00021504675,0.0004018408,0.00016927201,0.00034545234],"domain_scores_gemma":[0.999094,0.000027067343,0.00012664599,0.00045231104,0.00014362685,0.00015635866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000051211715,0.00045879022,0.00044115796,0.00024879942,0.0000497387,0.00003548772,0.0003327386,0.00041274418,9.44316e-7],"category_scores_gemma":[6.3044786e-7,0.0005334761,0.00006929586,0.000020074142,0.000083105166,0.000093482595,0.000124634,0.00040123667,0.0000023314474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051348423,0.0000051015263,7.2210105e-7,0.000102621336,0.000044668755,0.000187376,0.00005968408,0.8632773,0.0000106698835,0.13536483,0.0006010459,0.0002945995],"study_design_scores_gemma":[0.0011018772,0.000058744205,0.0000011660585,0.00030902238,0.00011151887,0.000012165578,0.0001317891,0.8787184,0.000088033106,0.000008166492,0.11863306,0.0008260709],"about_ca_topic_score_codex":0.0006416013,"about_ca_topic_score_gemma":0.00023448915,"teacher_disagreement_score":0.35142595,"about_ca_system_score_codex":0.0004961681,"about_ca_system_score_gemma":0.000073790034,"threshold_uncertainty_score":0.9997117},"labels":[],"label_agreement":null},{"id":"W2471576343","doi":"","title":"Robust multiuser MIMO transceiver design under channel uncertainty","year":2009,"lang":"en","type":"article","venue":"International Symposium on Wireless Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; McMaster University","funders":"","keywords":"Computer science; Robustness (evolution); Transmitter; MIMO; Channel state information; Channel (broadcasting); Precoding; Communications system; Transceiver; Fading; Control theory (sociology); Wireless; Telecommunications","score_opus":0.03376397774772475,"score_gpt":0.24842202968615817,"score_spread":0.21465805193843343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2471576343","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":[0.004916365,0.0005444688,0.97924197,0.0016379388,0.0014240895,0.0010038527,0.000043512853,0.0009097941,0.010278001],"genre_scores_gemma":[0.9963421,0.0005628912,0.0018594853,0.00017110727,0.00016639206,0.00016259367,0.00017199543,0.00006524599,0.000498179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981117,0.00022509551,0.00066327455,0.0003090075,0.00041347166,0.0002774366],"domain_scores_gemma":[0.998365,0.00021797024,0.00017345895,0.0008265196,0.000311408,0.000105663465],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000350893,0.00031977298,0.00030636197,0.00019025679,0.00015604439,0.00015612056,0.00088895427,0.00019360417,0.000022367454],"category_scores_gemma":[0.000013349085,0.00033299063,0.00009820423,0.00024012377,0.000044786273,0.0004508862,0.000023395498,0.0002855882,0.0001222623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004146353,0.00008626613,0.00000863517,0.000014581881,0.00007763531,0.0000014834623,0.0004687625,0.98252714,0.0069372565,0.008560279,0.00066572375,0.0006108052],"study_design_scores_gemma":[0.0007385143,0.000058040572,0.00011417107,0.0003260236,0.000014944984,0.000018715493,0.00027756172,0.99410117,0.0019646923,0.00020541337,0.0017705531,0.00041022728],"about_ca_topic_score_codex":0.00006697006,"about_ca_topic_score_gemma":0.000015100309,"teacher_disagreement_score":0.99142575,"about_ca_system_score_codex":0.00054370775,"about_ca_system_score_gemma":0.000017568613,"threshold_uncertainty_score":0.9999122},"labels":[],"label_agreement":null},{"id":"W2473816739","doi":"10.1109/vtcspring.2016.7504452","title":"Resource Allocation in Topology Management of Asymmetric Wireless Interference Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Carleton University","funders":"","keywords":"Subnetwork; Computer science; Resource allocation; Interference (communication); Network topology; Topology (electrical circuits); Resource management (computing); Wireless network; Distributed computing; Computational complexity theory; Multiplexing; Computer network; Radio resource management; Wireless; Telecommunications; Algorithm; Mathematics; Channel (broadcasting)","score_opus":0.00815836521219635,"score_gpt":0.21688061960263028,"score_spread":0.20872225439043393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2473816739","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":[0.009481736,0.000098707584,0.9731708,0.000033886085,0.000096990654,0.00011758039,3.052696e-7,0.00007693564,0.016923048],"genre_scores_gemma":[0.9957262,0.00015473859,0.0035481812,0.0000055435676,0.000011981876,0.000016715996,0.0000016508023,0.000011122063,0.0005238318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995419,0.000015612362,0.0002027278,0.00009239513,0.00003518829,0.000112210066],"domain_scores_gemma":[0.99975884,0.0000399035,0.000027378408,0.00014201156,0.000016444304,0.000015424574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007852288,0.000060044476,0.00009475692,0.00014136669,0.000004742294,0.0000020182506,0.000086081454,0.00004557215,0.000018438568],"category_scores_gemma":[0.0000046759956,0.00004676007,0.000010325509,0.00031146876,0.000014461133,0.00007111489,0.000024873352,0.000029289891,0.0000065534555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011783789,0.000017120523,0.0014795072,0.00009260199,0.000023896386,0.00000240818,0.00007808296,0.7433581,0.0008538416,0.025425153,0.00022139166,0.22843616],"study_design_scores_gemma":[0.0016457079,0.00008766329,0.0065561444,0.000799438,0.00001628954,0.0000056600516,0.0006607653,0.97522724,0.013034631,0.00055030605,0.000978059,0.0004381123],"about_ca_topic_score_codex":0.000008236986,"about_ca_topic_score_gemma":0.000023076656,"teacher_disagreement_score":0.9862445,"about_ca_system_score_codex":0.00007153333,"about_ca_system_score_gemma":0.0000012321576,"threshold_uncertainty_score":0.19068204},"labels":[],"label_agreement":null},{"id":"W2475838989","doi":"10.1109/access.2016.2596679","title":"Low SNR Uplink CFO Estimation for Energy Efficient IoT Using LTE","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Sierra Wireless (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Telecommunications link; Computer science; Energy (signal processing); Internet of Things; LTE Advanced; Computer network; Computer security; Statistics; Mathematics","score_opus":0.02192957198406167,"score_gpt":0.28517394001579605,"score_spread":0.2632443680317344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475838989","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":[0.05208107,0.00005677416,0.946201,0.000016924952,0.0010740862,0.00019856922,0.000010025548,0.00023908122,0.00012246725],"genre_scores_gemma":[0.974891,0.000007879413,0.02466465,0.0000170709,0.00020958153,0.00005760124,0.000005999917,0.000054222368,0.00009198787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993129,0.000008162865,0.00022218462,0.00016653379,0.0000787992,0.00021143726],"domain_scores_gemma":[0.9995371,0.0000761768,0.00006199803,0.0002014423,0.00007717487,0.00004609348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006934928,0.00012628184,0.00013192144,0.000093297465,0.000059302012,0.000047869653,0.00016168035,0.00007166051,0.00001104169],"category_scores_gemma":[0.000034038738,0.000104104874,0.000037374553,0.00014091385,0.000013485254,0.00024477037,0.000016685632,0.000024808041,0.000009425952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053377744,0.0000078262365,0.000015102306,0.00005577806,0.000009279868,5.023463e-7,0.00002006689,0.95208603,0.030150011,0.0001597284,0.00011956598,0.017370787],"study_design_scores_gemma":[0.00032674725,0.000006985955,0.000009643342,0.00011423212,0.0000089076175,0.0000020729892,0.000001576983,0.85038805,0.14863236,0.00018845846,0.00018388372,0.00013709617],"about_ca_topic_score_codex":0.000011618717,"about_ca_topic_score_gemma":0.0000055462956,"teacher_disagreement_score":0.92280996,"about_ca_system_score_codex":0.00015928577,"about_ca_system_score_gemma":0.000012988324,"threshold_uncertainty_score":0.42452735},"labels":[],"label_agreement":null},{"id":"W2476201078","doi":"10.1007/978-3-319-39372-8_2","title":"Intelligent SDN and NFV for 5G HetNet Dynamics","year":2016,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"École de Technologie Supérieure; Communications Research Centre Canada","funders":"","keywords":"Quality of service; Network Functions Virtualization; Computer science; Latency (audio); Heterogeneous network; Computer network; Low latency (capital markets); Distributed computing; Telecommunications; Cloud computing; Wireless; Wireless network; Operating system","score_opus":0.005434148917256953,"score_gpt":0.181485240021282,"score_spread":0.17605109110402503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2476201078","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":[0.00010061174,0.0033782918,0.99162513,0.000021122336,0.00045776216,0.00043345641,0.000013855741,0.00030491716,0.0036648249],"genre_scores_gemma":[0.5263491,0.028768942,0.33571032,0.0004919835,0.010566196,0.00096742925,0.00033495398,0.0036369963,0.09317403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987185,0.0000031216625,0.0004006874,0.00039584909,0.00009556488,0.00038625827],"domain_scores_gemma":[0.9994944,0.0001298427,0.000044512883,0.00018108358,0.000033957127,0.00011625917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000079942176,0.00041093605,0.00046144146,0.00028230317,0.00002602599,0.000046825695,0.000115884926,0.00028989802,0.000003750489],"category_scores_gemma":[0.00000968506,0.00041275623,0.000063971536,0.00005475089,0.000021296019,0.000090614856,0.000050662587,0.00032709635,0.000003268329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022060143,0.000012895356,0.000061865954,0.0010008658,0.00018416953,0.000028384342,0.00008478385,0.5044276,0.00011232257,0.20480049,0.00017370444,0.28909084],"study_design_scores_gemma":[0.0002992438,0.00006228135,0.000029920975,0.00042344045,0.000016453361,0.000030372916,2.4881828e-7,0.97817284,0.0000985671,0.0016847067,0.018644676,0.0005372748],"about_ca_topic_score_codex":0.0000019107556,"about_ca_topic_score_gemma":0.000004504444,"teacher_disagreement_score":0.65591484,"about_ca_system_score_codex":0.00025914412,"about_ca_system_score_gemma":0.000009445192,"threshold_uncertainty_score":0.99983245},"labels":[],"label_agreement":null},{"id":"W2478258961","doi":"10.1109/icc.2016.7511067","title":"Performance analysis of SDMA with inter-tier interference nulling in HetNets","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Space-division multiple access; Computer science; Interference (communication); Telecommunications link; Macro; Computer network; Electronic engineering; Antenna (radio); Single antenna interference cancellation; Orthogonal frequency-division multiple access; Block (permutation group theory); Scheme (mathematics); Telecommunications; Orthogonal frequency-division multiplexing; Engineering; Mathematics","score_opus":0.007277714259299254,"score_gpt":0.20077449268476077,"score_spread":0.1934967784254615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478258961","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":[0.40507644,0.000014636232,0.5923755,0.0000044128424,0.000026656666,0.00004160109,0.0000011893295,0.00004677039,0.002412794],"genre_scores_gemma":[0.99392074,0.000036957314,0.005745734,0.0000028527968,0.0000059048084,0.00000844905,0.0000016700506,0.000012493003,0.00026521678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950856,0.000006998399,0.00021500957,0.00010458208,0.000049018487,0.00011580347],"domain_scores_gemma":[0.99971956,0.000027025275,0.00003260057,0.00016209578,0.000038030743,0.000020669742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005500248,0.00008260429,0.00018445741,0.00028946815,0.0000054738834,0.0000038655585,0.00007978184,0.000028998811,0.00009314003],"category_scores_gemma":[0.00000755203,0.000051842027,0.000021718228,0.0005191372,0.000017497743,0.00022081217,0.000013137037,0.000035166537,0.0000071054874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001709616,0.000008535759,0.08369288,0.0000446403,0.00013627014,8.230596e-7,0.0002846152,0.89837956,0.005245369,0.000052825402,0.0000087506405,0.012128651],"study_design_scores_gemma":[0.0003110414,0.000051646155,0.0063422904,0.0003227777,0.000048507743,0.0000012257043,0.00008949955,0.9753422,0.017297562,0.000004678064,0.00003243157,0.0001561356],"about_ca_topic_score_codex":0.000012535464,"about_ca_topic_score_gemma":0.00021309337,"teacher_disagreement_score":0.5888443,"about_ca_system_score_codex":0.000056450703,"about_ca_system_score_gemma":0.000004017357,"threshold_uncertainty_score":0.21140565},"labels":[],"label_agreement":null},{"id":"W2481155970","doi":"10.4018/978-1-4666-4522-6.ch007","title":"Cloud Radio Access Networks","year":2013,"lang":"en","type":"book-chapter","venue":"Advances in systems analysis, software engineering, and high performance computing book series","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada)","funders":"","keywords":"Cloud computing; Radio access network; Software-defined radio; Computer science; Cellular network; Flexibility (engineering); Virtualization; Computer network; Base station; Remote radio head; Software; Distributed computing; Telecommunications; Cognitive radio; Operating system","score_opus":0.004707350267131978,"score_gpt":0.19667961555238192,"score_spread":0.19197226528524994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2481155970","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":[0.001274963,0.18775187,0.79965526,0.000003572942,0.0040169964,0.0009618593,0.000038415274,0.0017988702,0.0044981847],"genre_scores_gemma":[0.6848907,0.22905158,0.014497892,0.000040992552,0.004001932,0.00027021253,0.0006567806,0.00097151723,0.06561842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99685204,0.000018659195,0.0013333377,0.0007532322,0.00032625053,0.0007164931],"domain_scores_gemma":[0.99838436,0.000173031,0.00043096108,0.0006666121,0.00016794901,0.00017706126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024500643,0.0010204243,0.0017717483,0.0009582465,0.00019139852,0.00033017693,0.00050158025,0.00054583594,0.000052515043],"category_scores_gemma":[0.000026681886,0.0011050579,0.0001908699,0.00042166564,0.00011916538,0.0027123292,0.00018583395,0.00078200985,0.000017389899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007707097,0.0000036837043,0.0013603774,0.0015045746,0.0004979629,0.000011141638,0.00010596031,0.9910195,6.906962e-7,0.0034844964,0.00017864756,0.0018252424],"study_design_scores_gemma":[0.00028857574,0.00006177522,0.00040836824,0.001616612,0.00034147,0.00003982066,0.000016951777,0.8754638,0.0000073630163,0.000022022923,0.1204324,0.0013008805],"about_ca_topic_score_codex":0.00003775533,"about_ca_topic_score_gemma":0.000045015502,"teacher_disagreement_score":0.7851574,"about_ca_system_score_codex":0.0003573235,"about_ca_system_score_gemma":0.000027154163,"threshold_uncertainty_score":0.99913996},"labels":[],"label_agreement":null},{"id":"W2482683030","doi":"10.1109/icc.2016.7511339","title":"Traffic scheduling and power allocations for mobile data offloading via dual-connectivity","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Base station; Scheduling (production processes); Schedule; Computer network; Telecommunications link; Scheme (mathematics); Macro; Dual (grammatical number); Transmitter power output; Optimization problem; Distributed computing; Mathematical optimization; Algorithm","score_opus":0.018127456643886906,"score_gpt":0.2544963035636449,"score_spread":0.23636884691975799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482683030","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":[0.07055797,0.00018778065,0.9279843,0.000041544492,0.00017389099,0.00038685263,0.00003549777,0.0003465716,0.00028560514],"genre_scores_gemma":[0.9299965,0.000025504698,0.06965197,0.0000068087957,0.00004597477,0.000081418155,0.000019570281,0.00003169594,0.00014055654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943477,0.000007715051,0.00014775056,0.0002154421,0.000039254945,0.00015504162],"domain_scores_gemma":[0.99936163,0.0001801963,0.000021217813,0.00035123967,0.000038530805,0.000047199163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014305553,0.00009606598,0.00010853036,0.00005051898,0.00006258351,0.000018638706,0.000078822595,0.000049037197,0.000028311897],"category_scores_gemma":[0.00008500723,0.00007651573,0.000013418265,0.00007205754,0.000015955144,0.000540378,0.000038007023,0.000028838474,0.000010986697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055838436,0.000022044173,0.00007691838,0.000071764785,0.000052856605,4.4731524e-7,0.00020225008,0.88710076,0.079107895,0.00072726764,0.0003828432,0.032249372],"study_design_scores_gemma":[0.00051238656,0.000026228554,0.00003793288,0.000051950417,0.000014752948,0.000010292701,0.000103805105,0.9918933,0.0050929803,0.00008633378,0.0019515398,0.00021851092],"about_ca_topic_score_codex":0.0000019565737,"about_ca_topic_score_gemma":0.000030063347,"teacher_disagreement_score":0.85943854,"about_ca_system_score_codex":0.00004089861,"about_ca_system_score_gemma":0.00000776606,"threshold_uncertainty_score":0.3120221},"labels":[],"label_agreement":null},{"id":"W2483042456","doi":"10.1109/icc.2016.7511068","title":"Distributed downlink user association in small cell networks with energy harvesting","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Walrasian auction; Computer science; Competitive equilibrium; Small cell; Aggregate (composite); Mathematical optimization; Pareto principle; Process (computing); Mathematical economics; Association (psychology); General equilibrium theory; Cellular network; Microeconomics; Economics; Mathematics; Computer network; Vickrey auction","score_opus":0.004202535204997841,"score_gpt":0.15815288124017038,"score_spread":0.15395034603517255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2483042456","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":[0.008986064,0.000040482733,0.9876754,0.00003082765,0.00009648771,0.00007230576,0.0000060789853,0.00030642474,0.0027858808],"genre_scores_gemma":[0.9842136,0.000032692064,0.012115717,0.000015859296,0.000075243806,0.000024207457,0.00003628969,0.000034084638,0.0034523164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938285,0.000021033924,0.00018917916,0.00012445709,0.00005108282,0.00023141709],"domain_scores_gemma":[0.99963385,0.00011215243,0.000056077686,0.00011241202,0.000046966015,0.000038525715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009180474,0.00010730545,0.00011539719,0.00004394913,0.000017963917,0.000019561534,0.000054679804,0.00009686827,0.000017418046],"category_scores_gemma":[0.00003223192,0.000074792675,0.000013169254,0.00020348225,0.0000041473118,0.0002014152,0.000011036337,0.000055530163,0.000006911097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030355013,0.000006184002,0.021793777,0.0000072762514,0.000006763323,0.0000019285083,0.000011032739,0.97525924,0.0009075851,0.00018300286,0.00021381109,0.0016063533],"study_design_scores_gemma":[0.002229241,0.00004437765,0.0069697723,0.00026950976,0.000017125707,0.0000032288326,0.00004421917,0.97451675,0.009283576,0.0000637238,0.0059434795,0.0006149807],"about_ca_topic_score_codex":0.00007987178,"about_ca_topic_score_gemma":0.0011636233,"teacher_disagreement_score":0.9755597,"about_ca_system_score_codex":0.00033188856,"about_ca_system_score_gemma":0.000006972121,"threshold_uncertainty_score":0.30499566},"labels":[],"label_agreement":null},{"id":"W2487713611","doi":"10.1109/iccw.2016.7503794","title":"How to solve the fronthaul traffic congestion problem in H-CRAN?","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Cloud computing; Software deployment; Radio access network; Handover; Distributed computing; Real-time computing; Base station","score_opus":0.007279170200813412,"score_gpt":0.19158739987195153,"score_spread":0.1843082296711381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487713611","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":[0.010382373,0.000075763994,0.98349607,0.0025988333,0.00018456437,0.0005327971,0.0000026476478,0.0003134332,0.0024135332],"genre_scores_gemma":[0.9724485,0.000015792386,0.025724886,0.000030256298,0.000054345095,0.00009564945,0.0000013601193,0.000024715506,0.001604473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995536,0.000009763267,0.000113199494,0.000108848224,0.00005904637,0.00015554388],"domain_scores_gemma":[0.99973434,0.00004601099,0.000012567995,0.0001503352,0.000022568975,0.0000342001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008789006,0.00008513118,0.00008462929,0.00005152556,0.000016866818,0.000023547835,0.00008062822,0.00004327729,0.00002189875],"category_scores_gemma":[0.00003024083,0.000046804063,0.000015205271,0.00011585311,0.000009538989,0.0001949505,0.000009292789,0.000040085204,0.000060181115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004791887,0.000006153931,0.00007088815,0.000014676448,0.0000062070812,0.0000010866781,0.00032484415,0.95069265,0.006174283,0.0007931725,0.0020682702,0.039842993],"study_design_scores_gemma":[0.01196924,0.0006068195,0.01048598,0.0022946154,0.00008490415,0.000079719626,0.0048318673,0.72882247,0.042834185,0.0030863655,0.1907557,0.0041481107],"about_ca_topic_score_codex":0.0000050340896,"about_ca_topic_score_gemma":0.0002874009,"teacher_disagreement_score":0.9620662,"about_ca_system_score_codex":0.00009094798,"about_ca_system_score_gemma":0.00000481992,"threshold_uncertainty_score":0.19086143},"labels":[],"label_agreement":null},{"id":"W2490186903","doi":"10.1109/icc.2016.7511569","title":"Energy efficient power allocation and backhaul design in heterogeneous small cell networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Backhaul (telecommunications); Computer science; Resource allocation; Bandwidth allocation; Mathematical optimization; Small cell; Transmitter power output; Bandwidth (computing); Efficient energy use; Channel allocation schemes; Convex optimization; Wireless; Nonlinear programming; Optimization problem; Orthogonal frequency-division multiple access; Energy consumption; Geometric programming; Computer network; Cellular network; Orthogonal frequency-division multiplexing; Channel (broadcasting); Regular polygon; Base station; Nonlinear system; Algorithm; Telecommunications; Engineering; Mathematics; Transmitter","score_opus":0.006953736638027531,"score_gpt":0.17347879340325156,"score_spread":0.16652505676522403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490186903","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":[0.01331349,0.00047484177,0.98484063,0.000012523362,0.00012948825,0.00011606694,3.7826507e-7,0.0001290025,0.0009836019],"genre_scores_gemma":[0.9887548,0.00012367987,0.0107576,0.000019097257,0.000018676681,0.000021252377,0.0000014545656,0.000028148608,0.00027525355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994644,0.000025992038,0.00016203328,0.00014135735,0.0000367273,0.00016947644],"domain_scores_gemma":[0.9997316,0.000060003,0.000018466164,0.00012593021,0.000019914178,0.00004409163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000075614094,0.00010212435,0.000086585154,0.000060678354,0.000012630838,0.000010720243,0.000044483506,0.00006928922,0.000024555466],"category_scores_gemma":[0.0000045992074,0.00007847235,0.000011339935,0.00008271631,0.000009467259,0.000042831587,0.000014005108,0.00002412182,0.000007783302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040427753,0.000008020546,0.000043679956,0.0000049721084,0.000002525635,0.0000020660375,0.000034557193,0.99043125,0.0064110714,0.00008820859,0.00004423656,0.0029253953],"study_design_scores_gemma":[0.00034388705,0.00002159315,0.00003699275,0.000027625403,0.0000019962777,0.0000058149576,0.0000087362605,0.9805069,0.018691845,0.000021479165,0.0001967514,0.00013640981],"about_ca_topic_score_codex":0.000009339786,"about_ca_topic_score_gemma":0.0000345793,"teacher_disagreement_score":0.97544134,"about_ca_system_score_codex":0.00006998028,"about_ca_system_score_gemma":0.000004011666,"threshold_uncertainty_score":0.32000098},"labels":[],"label_agreement":null},{"id":"W2491821340","doi":"10.1002/wcm.2720","title":"A proposed enhanced scheme for the dynamic frequency hopping performance in the IEEE 802.22 standard","year":2016,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Digital terrestrial television; White spaces; Transmission (telecommunications); Interference (communication); Channel (broadcasting); Data transmission; Frequency-hopping spread spectrum; Digital television; Cognitive radio; Wireless broadband; Telecommunications; Electronic engineering; Broadcasting (networking); Wireless; Computer network; Wireless network","score_opus":0.012361508006390774,"score_gpt":0.2566120091901577,"score_spread":0.24425050118376693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2491821340","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":[0.29665443,0.0014570456,0.70041096,0.00015105955,0.000086031265,0.0009325993,0.000008543718,0.00010199916,0.0001973139],"genre_scores_gemma":[0.9782022,0.0018537692,0.019528888,0.000016959619,0.000025353738,0.00032869718,0.000006381675,0.00002541402,0.0000122887695],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992343,0.000059363938,0.00029318433,0.00013197979,0.00007366617,0.00020751375],"domain_scores_gemma":[0.9983841,0.0006134929,0.0000791644,0.0008241963,0.000080467784,0.000018569792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042981925,0.0001229246,0.00014246131,0.00004984441,0.0004308006,0.000044533368,0.00056839554,0.000044003304,0.000001174],"category_scores_gemma":[0.000021280179,0.00007204456,0.000029311142,0.00019925178,0.000101879144,0.0001515658,0.0000793045,0.0001422782,0.000001231655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018547096,0.000053967484,0.0009848877,0.00031752427,0.00006252572,3.2472028e-7,0.006573164,0.13608551,0.09448784,0.0030427463,0.00003207229,0.7583409],"study_design_scores_gemma":[0.0005524383,0.000045954235,0.00029863665,0.00038852706,0.000008041407,0.000004559858,0.0008301024,0.99559057,0.0010724111,0.000072815004,0.0009771974,0.00015874057],"about_ca_topic_score_codex":0.000005829569,"about_ca_topic_score_gemma":0.000048691138,"teacher_disagreement_score":0.85950506,"about_ca_system_score_codex":0.00009802879,"about_ca_system_score_gemma":0.000022442082,"threshold_uncertainty_score":0.33134136},"labels":[],"label_agreement":null},{"id":"W2492665136","doi":"10.1109/icc.2016.7511520","title":"Multiple association in ultra-dense networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Computer science; Cellular network; User equipment; Exploit; Association (psychology); Small cell; Reuse; Computer network; Spectral efficiency; Ergodic theory; Backhaul (telecommunications); Frequency reuse; Base station; Association scheme; Distributed computing; Mathematics; Engineering","score_opus":0.004834094370110054,"score_gpt":0.1870454661983714,"score_spread":0.18221137182826133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492665136","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":[0.012048525,0.000049043545,0.98080057,0.00004203308,0.0002859534,0.00011172499,0.0000014819815,0.00031646868,0.006344203],"genre_scores_gemma":[0.9964329,0.00005672904,0.0018683032,0.00001212182,0.00006049426,0.000013940745,0.0000021029477,0.000017344373,0.0015360567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995941,0.00001231698,0.0001333355,0.00007029036,0.00004529328,0.00014468734],"domain_scores_gemma":[0.9997271,0.00013395766,0.000019572708,0.0000795103,0.000018883453,0.00002103211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090441914,0.000056591827,0.00007060727,0.000038301765,0.000008428454,0.0000059701238,0.000031761043,0.000069467365,0.000040273422],"category_scores_gemma":[0.00010412612,0.00004308023,0.000013300435,0.00009655031,0.0000022099903,0.00015382767,0.0000027552794,0.000035636465,0.000055982855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021698092,0.000004735321,0.04528561,0.000004358986,0.0000061521614,9.767804e-7,0.000039607385,0.9417109,0.0077910433,0.00009444166,0.0011770822,0.0038829334],"study_design_scores_gemma":[0.0018803756,0.000013649268,0.011880322,0.00010268064,0.0000047555673,0.0000022207682,0.000048512487,0.97084135,0.012071163,0.00014806494,0.00263441,0.00037251395],"about_ca_topic_score_codex":0.0000096916765,"about_ca_topic_score_gemma":0.00017969009,"teacher_disagreement_score":0.98438436,"about_ca_system_score_codex":0.0002655397,"about_ca_system_score_gemma":0.0000019234515,"threshold_uncertainty_score":0.17567606},"labels":[],"label_agreement":null},{"id":"W2492993363","doi":"10.1002/ett.3088","title":"Fronthaul data compression for Uplink CoMP in cloud radio access network (C‐RAN)","year":2016,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Radio access network; Computer science; Telecommunications link; Cloud computing; Computer network; C-RAN; Decoding methods; Real-time computing; Data compression; Distributed computing; Base station; Telecommunications; Algorithm","score_opus":0.047344274679044236,"score_gpt":0.30973237318484637,"score_spread":0.26238809850580214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492993363","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":[0.0004323578,0.0012733876,0.9906162,0.0025702782,0.00032779705,0.00078784843,0.00010132629,0.0035039978,0.00038679232],"genre_scores_gemma":[0.8450815,0.0035197313,0.15051547,0.00001339253,0.000028921959,0.0005673167,0.0001221599,0.00007406189,0.00007743731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858475,0.000049558545,0.0005211735,0.00035580192,0.00008911881,0.00039958258],"domain_scores_gemma":[0.9962484,0.00062155427,0.000096347445,0.0029506537,0.000054380358,0.000028627906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026228075,0.00024440722,0.00030713185,0.00038130884,0.00035973938,0.000042122316,0.0024645687,0.00022145516,0.000024971776],"category_scores_gemma":[0.00007720228,0.00021359016,0.00005678392,0.0007060421,0.0001303529,0.00073082966,0.00008781132,0.0003557641,0.000015071119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021621638,0.000079750636,0.000104118735,0.000037451115,0.000050946594,2.9386027e-7,0.000053097414,0.8169574,0.00049484987,0.000594044,0.0031800661,0.17842637],"study_design_scores_gemma":[0.0024757918,0.00008337824,0.00020068702,0.001119226,0.000075669086,0.000008990773,0.0008074625,0.90661174,0.0074424734,0.006116952,0.07405095,0.001006683],"about_ca_topic_score_codex":0.000016020616,"about_ca_topic_score_gemma":0.00023317053,"teacher_disagreement_score":0.84464914,"about_ca_system_score_codex":0.0002042389,"about_ca_system_score_gemma":0.000019827463,"threshold_uncertainty_score":0.8709954},"labels":[],"label_agreement":null},{"id":"W2494532104","doi":"10.1109/icc.2016.7511137","title":"A novel neuro-optimization method for multi-operator scheduling in cloud-RANs","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cloud computing; Distributed computing; Scheduling (production processes); Heuristic; Job shop scheduling; Computation; Computer network; Mathematical optimization; Routing (electronic design automation); Artificial intelligence; Operating system; Algorithm","score_opus":0.026091374978031216,"score_gpt":0.2820430408728926,"score_spread":0.2559516658948614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494532104","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":[0.0003635275,0.00003832816,0.9980634,0.00008428164,0.0003936868,0.00054053316,0.000016550666,0.0003535598,0.00014614224],"genre_scores_gemma":[0.0411768,0.000021123842,0.9582468,0.00005941168,0.00009014992,0.00012713202,0.0000064871565,0.0000688505,0.00020319705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991976,0.00001768922,0.0002924638,0.00021141094,0.000054026492,0.00022681514],"domain_scores_gemma":[0.9995371,0.00015636186,0.000028143302,0.00016145865,0.00006819681,0.000048754217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690801,0.00014366327,0.0001676211,0.000117869015,0.000029289444,0.000017163082,0.00008222696,0.00008767867,0.000027238008],"category_scores_gemma":[0.00020470264,0.00011317222,0.000037362097,0.00018371722,0.000007226625,0.0002974046,0.000011857905,0.000048547226,0.000009027352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066847597,0.000014840276,0.00006084723,0.000027918302,0.000006136597,2.52362e-7,0.000065481254,0.90099585,0.09674154,0.00043349966,0.000018347637,0.0016285722],"study_design_scores_gemma":[0.0017060412,0.000012885728,0.000014282002,0.000049194547,0.000004969872,0.0000027699862,0.00003151595,0.98773384,0.010007443,0.000008928567,0.0002575984,0.00017053088],"about_ca_topic_score_codex":0.000010362808,"about_ca_topic_score_gemma":0.00005421748,"teacher_disagreement_score":0.08673797,"about_ca_system_score_codex":0.000093966635,"about_ca_system_score_gemma":0.00001234451,"threshold_uncertainty_score":0.4615029},"labels":[],"label_agreement":null},{"id":"W2494953865","doi":"10.1109/iccw.2016.7503775","title":"Spectrum allocation for wireless backhauling of 5G small cells","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Wireless; Computer science; Computer network; Frequency allocation; Telecommunications","score_opus":0.010295165580674679,"score_gpt":0.19930286556110874,"score_spread":0.18900769998043407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2494953865","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":[0.014764122,0.000027657765,0.98240757,0.000039987448,0.00023868398,0.0002354791,0.0000055450537,0.00015306729,0.002127882],"genre_scores_gemma":[0.9632213,0.000036449506,0.035762787,0.000004658216,0.00006514146,0.000021414126,0.0000033844467,0.000028692964,0.00085613993],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995756,0.0000040443992,0.00018228502,0.000087184584,0.000033642904,0.000117216114],"domain_scores_gemma":[0.9997146,0.00006147298,0.000034009037,0.00012780036,0.00003897542,0.000023139104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060437567,0.00006957214,0.00010008473,0.00004008665,0.000011283962,0.000003642958,0.000057884165,0.000041691426,0.000023489834],"category_scores_gemma":[0.000008806328,0.000053274664,0.000027205806,0.000056093264,0.00000804906,0.00008943031,0.0000043701853,0.00001402894,0.000016094898],"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":[0.00000684407,0.000008117039,0.00006157593,0.00014784018,0.00001674481,1.02915315e-7,0.00006148084,0.22729471,0.7623071,0.0034412479,0.00017925628,0.0064749806],"study_design_scores_gemma":[0.00033768802,0.00001780383,0.000019278605,0.00005935851,0.000005242398,4.800957e-7,0.000021515203,0.110577285,0.8881116,0.00030884545,0.00044211396,0.00009876911],"about_ca_topic_score_codex":0.0000036249567,"about_ca_topic_score_gemma":0.000033620883,"teacher_disagreement_score":0.9484572,"about_ca_system_score_codex":0.00004370267,"about_ca_system_score_gemma":0.0000056226277,"threshold_uncertainty_score":0.21724777},"labels":[],"label_agreement":null},{"id":"W2495756471","doi":"10.1109/icc.2016.7510899","title":"Massive MIMO based underlay networks with power control","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Underlay; Path loss; Power control; MIMO; Computer science; Computer network; Wireless network; Poisson point process; Wireless; Topology (electrical circuits); Point process; Electronic engineering; Telecommunications; Power (physics); Signal-to-noise ratio (imaging); Channel (broadcasting); Engineering; Mathematics; Electrical engineering; Physics","score_opus":0.003517458026664517,"score_gpt":0.1767061993225245,"score_spread":0.17318874129585998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495756471","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":[0.00026688093,0.000050266823,0.98835146,0.00015756149,0.00014728519,0.0001938443,0.0000031431348,0.0004325359,0.010396997],"genre_scores_gemma":[0.98803085,0.0000030953147,0.01100682,0.0001053702,0.00004331811,0.000016505477,0.0000017546911,0.000041310177,0.0007509544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950606,0.000012291255,0.00011413816,0.000115209,0.00006243151,0.00018989209],"domain_scores_gemma":[0.9996123,0.000087917404,0.000022520411,0.00017782483,0.000044492153,0.00005496222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035318702,0.000114741575,0.0001176278,0.000035143417,0.000019883533,0.000011064337,0.000054470336,0.00005704846,0.00026808333],"category_scores_gemma":[0.000008504654,0.0000662376,0.000020049403,0.00008096933,0.000018388297,0.00013218024,0.000003161075,0.000038256792,0.000042139385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014924423,0.000003705259,0.00030791207,0.0000040681266,0.000022101302,0.0000035429584,0.000007266284,0.99724877,0.0006582602,0.00039404022,0.000896324,0.00043905745],"study_design_scores_gemma":[0.0027953868,0.00007613292,0.00022740188,0.000096989956,0.000015230632,0.0000034842155,0.000040267245,0.9935933,0.0013537272,0.000034901343,0.0014554018,0.00030778744],"about_ca_topic_score_codex":0.0000017456484,"about_ca_topic_score_gemma":0.0000146670345,"teacher_disagreement_score":0.987764,"about_ca_system_score_codex":0.000066318426,"about_ca_system_score_gemma":0.000008650994,"threshold_uncertainty_score":0.29353243},"labels":[],"label_agreement":null},{"id":"W2498120850","doi":"10.1109/twc.2016.2597283","title":"Resource Allocation for D2D Communication Underlaid Cellular Networks Using Graph-Based Approach","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Rounding; Computer science; Cellular network; Mathematical optimization; Iterative method; Graph; Algorithm; Theoretical computer science; Mathematics; Computer network","score_opus":0.0328417463827672,"score_gpt":0.24651938561386041,"score_spread":0.21367763923109323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498120850","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":[0.0009311142,0.00041381776,0.99582064,0.0003773059,0.00014936515,0.0010459067,0.00006928252,0.00071365735,0.00047893752],"genre_scores_gemma":[0.8996407,0.00041942162,0.09879557,0.000047751855,0.000026048881,0.0007291204,0.00013171126,0.0001225936,0.00008711372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984343,0.00023081983,0.00055503455,0.00028804794,0.00015626896,0.000335543],"domain_scores_gemma":[0.9961957,0.0006616492,0.00015211229,0.0026851487,0.00019853802,0.00010686159],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030931903,0.00029103993,0.00027214375,0.00030804047,0.00077478297,0.00005329403,0.0009026901,0.00023104296,0.000008164556],"category_scores_gemma":[0.000006149942,0.0002839933,0.00016730587,0.0005847572,0.0002198259,0.00036048327,0.0000056666972,0.0002882843,0.000008322309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021469672,0.00015943262,0.000003591295,0.000041811083,0.000058983063,4.4689052e-8,0.00009734009,0.9728369,0.011932858,0.001273754,0.00007123727,0.013502549],"study_design_scores_gemma":[0.00088808336,0.00003098092,0.0000025021602,0.00019767489,0.000081255836,0.0000023730026,0.0001247625,0.98341,0.013635961,0.00016899785,0.0011062742,0.00035111478],"about_ca_topic_score_codex":0.000022745051,"about_ca_topic_score_gemma":0.000068458976,"teacher_disagreement_score":0.89870954,"about_ca_system_score_codex":0.00038581985,"about_ca_system_score_gemma":0.00004535106,"threshold_uncertainty_score":0.9999612},"labels":[],"label_agreement":null},{"id":"W2498783604","doi":"10.1109/tvt.2016.2594031","title":"Performance of Massive MIMO Uplink With Zero-Forcing Receivers Under Delayed Channels","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Vetenskapsrådet; Queen's University; Queen's University Belfast; European Commission","keywords":"Telecommunications link; MIMO; Base station; Channel (broadcasting); Ergodic theory; Probability density function; Transmitter power output; Scaling; Signal-to-noise ratio (imaging)","score_opus":0.006496169765349037,"score_gpt":0.1930280247955602,"score_spread":0.18653185503021116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2498783604","genre_codex":"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":[0.26374903,0.00003522156,0.73505646,0.00014423353,0.00022902444,0.00021435971,0.0000078951425,0.00049105164,0.000072759016],"genre_scores_gemma":[0.9920596,0.00019904165,0.007434344,0.000008757731,0.000009518856,0.00008378931,0.000001329182,0.000056710353,0.00014693441],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991219,0.000011524846,0.00025273705,0.0002336708,0.00010569815,0.0002744866],"domain_scores_gemma":[0.99937904,0.00003384757,0.00007373536,0.0003666644,0.00010677469,0.000039958908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004983873,0.00019990161,0.00024358988,0.00044466704,0.0000813935,0.000004161072,0.00015650573,0.0002837143,0.000022305738],"category_scores_gemma":[0.0000023764405,0.00015351853,0.000050434137,0.00052114885,0.00013184489,0.00019751072,0.000001145393,0.00020405251,0.000029953395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004210371,0.000018635881,0.000023626773,0.00003428982,0.00010850704,0.0000039859106,0.00003390009,0.91823626,0.07098808,0.00009954361,0.000007561554,0.010403522],"study_design_scores_gemma":[0.0011750845,0.00044952,0.000009823195,0.00034224518,0.00006558052,0.000047737416,0.0001231835,0.18854523,0.8086947,0.00012779555,0.000093343704,0.00032570752],"about_ca_topic_score_codex":0.0000039606552,"about_ca_topic_score_gemma":0.0000080454665,"teacher_disagreement_score":0.73770666,"about_ca_system_score_codex":0.00016151727,"about_ca_system_score_gemma":0.000018829764,"threshold_uncertainty_score":0.6260304},"labels":[],"label_agreement":null},{"id":"W2504115418","doi":"10.1109/icc.2016.7511507","title":"Multi-operator spectrum sharing using matching game in small cells network","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Pairwise comparison; Matching (statistics); Computer science; Operator (biology); Mathematical optimization; Poisson point process; Convergence (economics); Base station; Potential game; Poisson distribution; Mathematics; Computer network; Nash equilibrium; Artificial intelligence","score_opus":0.018730674354427896,"score_gpt":0.22063162373042847,"score_spread":0.20190094937600056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2504115418","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":[0.17751941,0.0000916686,0.8210881,0.000011718203,0.00041552456,0.00015858335,0.0000012321324,0.0002984478,0.000415351],"genre_scores_gemma":[0.84285134,0.000026511127,0.15641044,0.000023770546,0.00018325384,0.00000735425,7.6744965e-7,0.00006638438,0.00043018756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990879,0.000012563848,0.00027737566,0.00020952483,0.000042540218,0.00037008635],"domain_scores_gemma":[0.99966955,0.000030983243,0.000026907353,0.00020582366,0.0000107606975,0.000055990546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012630581,0.00015321864,0.00016996727,0.00007571139,0.000026582264,0.000031784628,0.000118627875,0.00007154662,0.00007394924],"category_scores_gemma":[0.0000067006918,0.00012337613,0.000026813681,0.00016918346,0.000007650055,0.00025304066,0.00004966649,0.000085571446,0.000061768544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015187237,0.000004209639,0.0011859962,0.000018584758,0.0000054246193,0.0000050985877,0.00010031288,0.89267033,0.10566316,0.0001396509,0.000011252102,0.000194441],"study_design_scores_gemma":[0.0006750913,0.00000579802,0.00022486367,0.00028331607,0.0000043196596,0.0000064449187,0.00004258854,0.97272253,0.025265178,0.0002684105,0.00015596375,0.0003455203],"about_ca_topic_score_codex":0.00007169765,"about_ca_topic_score_gemma":0.0004118252,"teacher_disagreement_score":0.6653319,"about_ca_system_score_codex":0.00021671236,"about_ca_system_score_gemma":0.0000068216,"threshold_uncertainty_score":0.50311327},"labels":[],"label_agreement":null},{"id":"W2510122326","doi":"10.1109/spawc.2016.7536897","title":"Modified MRT and outage probability analysis for massive MIMO downlink under per-antenna power constraint","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Precoding; Telecommunications link; MIMO; Constraint (computer-aided design); Computer science; Zero-forcing precoding; Transmitter power output; Antenna (radio); Interference (communication); Probability density function; Power (physics); Signal-to-noise ratio (imaging); Signal-to-interference-plus-noise ratio; Electronic engineering; Mathematical optimization; Control theory (sociology); Algorithm; Mathematics; Telecommunications; Transmitter; Statistics; Beamforming; Engineering; Physics","score_opus":0.017598709015757854,"score_gpt":0.23387233931561371,"score_spread":0.21627363029985586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510122326","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":[0.023592059,0.000050084578,0.9729757,0.00027671453,0.000091976966,0.00059469184,0.00008018988,0.0002483294,0.0020902958],"genre_scores_gemma":[0.9670694,0.00001197067,0.031985376,0.000027312142,0.000019015462,0.00007543714,0.000011783984,0.00002296833,0.00077673595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991079,0.000017834149,0.00028468206,0.00028374998,0.00007327846,0.00023253563],"domain_scores_gemma":[0.9993496,0.00013396474,0.000043603643,0.00026785172,0.00011945331,0.000085527136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014017387,0.0001671625,0.00027929444,0.00011065337,0.00004087364,0.000024317447,0.00006494425,0.00009919327,0.00020635959],"category_scores_gemma":[0.00006185046,0.000113022965,0.00010296913,0.00014616194,0.00007848661,0.00017546969,0.000020243686,0.000043159343,0.00000873094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007194637,0.00007685144,0.004635721,0.00023611351,0.001750693,0.0000030370481,0.00068804587,0.9097456,0.04556315,0.0330933,0.00016821611,0.0039673797],"study_design_scores_gemma":[0.003874883,0.00015803197,0.0057524964,0.00009312768,0.0007073163,0.000010981028,0.0013524988,0.96950686,0.0030915579,0.013356918,0.0007334599,0.001361897],"about_ca_topic_score_codex":0.0000064904643,"about_ca_topic_score_gemma":0.000049056725,"teacher_disagreement_score":0.94347733,"about_ca_system_score_codex":0.0001071508,"about_ca_system_score_gemma":0.000012670611,"threshold_uncertainty_score":0.4608943},"labels":[],"label_agreement":null},{"id":"W2511376068","doi":"10.1109/spawc.2016.7536884","title":"Stochastic analysis of user-centric network MIMO","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Computer science; Backhaul (telecommunications); Beamforming; Telecommunications link; Base station; Channel state information; Stochastic geometry; Cluster analysis; Computer network; Transmitter power output; Cellular network; Multi-user MIMO; 3G MIMO; Enhanced Data Rates for GSM Evolution; Precoding; Channel (broadcasting); Telecommunications; Wireless; Mathematics; Transmitter","score_opus":0.0060813434071085035,"score_gpt":0.20375614326324804,"score_spread":0.19767479985613953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511376068","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":[0.006039127,0.00012149739,0.9920824,0.000007510859,0.00013550317,0.000074334275,0.000004523979,0.00016046884,0.0013746383],"genre_scores_gemma":[0.99216294,0.000018256476,0.0071093612,0.000004251369,0.000044064163,0.0000055677847,0.000003531814,0.000015215999,0.0006368058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995071,0.000008265319,0.00019268194,0.00008428514,0.00006219861,0.00014541313],"domain_scores_gemma":[0.9996375,0.00007796389,0.00003238172,0.0001804769,0.000036975074,0.000034734257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004781324,0.000070491675,0.00018010238,0.00015480886,0.000010428415,0.0000029833038,0.000062160965,0.000034445817,0.00020863597],"category_scores_gemma":[0.000022518045,0.000049248585,0.000056501267,0.0009144159,0.000009114034,0.00008185498,0.000010502015,0.000016646418,0.000023612844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014576086,0.0000031802156,0.000869156,0.0000060465914,0.00022147768,2.1462164e-7,0.000010843462,0.9961089,0.00056304486,0.0006718785,0.00042428751,0.0011195234],"study_design_scores_gemma":[0.0003882772,0.000014890152,0.0030190416,0.000047915746,0.00047361283,6.9826444e-7,0.000016474634,0.99478275,0.00048619186,0.00010196059,0.00045493737,0.00021324451],"about_ca_topic_score_codex":0.0000045555807,"about_ca_topic_score_gemma":0.000022464208,"teacher_disagreement_score":0.9861238,"about_ca_system_score_codex":0.000039455805,"about_ca_system_score_gemma":0.0000033000877,"threshold_uncertainty_score":0.22844176},"labels":[],"label_agreement":null},{"id":"W2511774633","doi":"10.1109/spawc.2016.7536887","title":"Load and interference aware joint cell association and user scheduling in uplink cellular networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Computer science; Scheduling (production processes); Maximization; Cellular network; Computer network; Utility maximization; Wireless; Distributed computing; Mathematical optimization; Telecommunications; Mathematics","score_opus":0.007188743092822355,"score_gpt":0.18446999397761504,"score_spread":0.17728125088479268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511774633","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":[0.12818427,0.0004396662,0.8705433,0.000036002515,0.00011525183,0.0001041539,6.656366e-7,0.00009865757,0.00047805673],"genre_scores_gemma":[0.9923161,0.00030068902,0.0067279567,0.000009643759,0.00003796217,0.000007926768,0.0000014216525,0.00001857441,0.0005796724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994606,0.000013512823,0.0001837231,0.00013926986,0.00004815744,0.00015474917],"domain_scores_gemma":[0.99974877,0.00005424962,0.00003782916,0.0000817829,0.000038669736,0.000038724527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014904498,0.000094898336,0.000120327546,0.000043462984,0.000017421014,0.00002395525,0.000027869735,0.000102256396,0.000015847503],"category_scores_gemma":[0.000032172735,0.000076138356,0.000009191561,0.000065780645,0.0000069421467,0.00021605848,0.000029384886,0.00007955484,0.000006266174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073520105,0.000012899422,0.054321818,0.00012722382,0.00001758251,0.0000039744587,0.0003426609,0.88706255,0.05160467,0.0001963382,0.00017582666,0.006127108],"study_design_scores_gemma":[0.00061898335,0.000013968609,0.0011072955,0.00019711602,0.0000053748413,9.394895e-7,0.00007446991,0.9844776,0.0131645035,0.00006548539,0.00007930097,0.00019497468],"about_ca_topic_score_codex":0.0000130411745,"about_ca_topic_score_gemma":0.000044978326,"teacher_disagreement_score":0.86413187,"about_ca_system_score_codex":0.0002039477,"about_ca_system_score_gemma":0.0000056572494,"threshold_uncertainty_score":0.3104832},"labels":[],"label_agreement":null},{"id":"W2511870766","doi":"10.1109/isit.2016.7541314","title":"The capacity of Gaussian MISO channels under total and per-antenna power constraints","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Beamforming; Channel capacity; Transmission (telecommunications); Channel (broadcasting); Constraint (computer-aided design); Mathematical optimization; Gaussian; Channel state information; Antenna (radio); Power (physics); Computer science; Topology (electrical circuits); Control theory (sociology); Mathematics; Wireless; Telecommunications; Physics; Combinatorics","score_opus":0.010466464285206057,"score_gpt":0.2043581270791838,"score_spread":0.19389166279397774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2511870766","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":[0.09924215,0.00014024161,0.8901331,0.0002671173,0.0003504771,0.00016600112,0.000012048357,0.00011154805,0.0095773395],"genre_scores_gemma":[0.99783534,0.000026737183,0.0012031776,0.000007663787,0.000018497167,0.0000042616357,3.049732e-7,0.000013684662,0.00089032785],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957746,0.000011050256,0.00013980998,0.00008186457,0.00005392422,0.00013589194],"domain_scores_gemma":[0.9997119,0.000065243265,0.000022991704,0.00012683119,0.000032535187,0.000040551517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006878913,0.00007938523,0.000092292525,0.000020334246,0.00003612133,0.000010320874,0.000042219755,0.000041753974,0.00010134841],"category_scores_gemma":[0.000021000069,0.000042215604,0.000019205565,0.00003325135,0.00014641363,0.000098811,0.000012278832,0.000031031203,0.000010676085],"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":[0.000040658993,0.00005555707,0.001398011,0.00017820873,0.00035257588,0.000004766244,0.0027354753,0.021653378,0.8471896,0.10893359,0.0011291882,0.016328989],"study_design_scores_gemma":[0.019756583,0.0012274331,0.040038012,0.0029315338,0.00026292962,0.0017920346,0.030457532,0.34827778,0.5075609,0.032469235,0.008069569,0.0071564433],"about_ca_topic_score_codex":0.000004908861,"about_ca_topic_score_gemma":0.000008978695,"teacher_disagreement_score":0.8985932,"about_ca_system_score_codex":0.000021632326,"about_ca_system_score_gemma":0.0000046749574,"threshold_uncertainty_score":0.17215024},"labels":[],"label_agreement":null},{"id":"W2512153554","doi":"10.48550/arxiv.1608.03638","title":"Downlink Performance of Pilot-Reused HetNet with Large-Scale Antenna Arrays","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"MIMO; Precoding; Telecommunications link; Computer science; Scheduling (production processes); Heterogeneous network; Channel state information; Macro; Base station; Transmitter power output; Mathematical optimization; Channel (broadcasting); Computer network; Wireless; Wireless network; Mathematics; Telecommunications; Transmitter","score_opus":0.025449536304421847,"score_gpt":0.158826389584544,"score_spread":0.13337685328012217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512153554","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":[0.33645076,0.000056168177,0.6603079,0.0000050671442,0.00025638132,0.00030795072,0.00008943099,0.00030516976,0.0022212132],"genre_scores_gemma":[0.9966376,0.0004134034,0.001898297,0.00000596457,0.00008055985,0.0000022715315,0.000047547852,0.00007439868,0.0008400036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987448,0.000034693363,0.00026006685,0.000519036,0.00007081863,0.00037058472],"domain_scores_gemma":[0.9986071,0.00003621351,0.000210525,0.00085609144,0.00017978488,0.00011030188],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011085071,0.00036100406,0.00045809563,0.00022523863,0.00006076328,0.000012480081,0.00046401558,0.00021727536,0.00004295192],"category_scores_gemma":[0.00000782578,0.0003397054,0.000085408596,0.00031033676,0.00008965674,0.00028634391,0.00021220506,0.00034767657,0.00004274566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011771796,0.000041922078,0.005540686,0.00045598755,0.00010093287,0.00002051422,0.00012706795,0.992057,0.0010585886,0.00040091446,0.000051704188,0.000026924732],"study_design_scores_gemma":[0.0013565349,0.00016961225,0.0004071729,0.0007801825,0.00008887332,0.0000045981797,0.00009295342,0.99472994,0.0013711092,0.00026813778,0.00016067535,0.0005702239],"about_ca_topic_score_codex":0.000008519054,"about_ca_topic_score_gemma":0.00003475472,"teacher_disagreement_score":0.66018677,"about_ca_system_score_codex":0.0002024009,"about_ca_system_score_gemma":0.0000552791,"threshold_uncertainty_score":0.99990547},"labels":[],"label_agreement":null},{"id":"W2517633710","doi":"10.1109/twc.2017.2688392","title":"Multi-Operator Spectrum Sharing for Small Cell Networks: A Matching Game Perspective","year":2017,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies; Elektrobit; Nokia","keywords":"Computer science; Mathematical optimization; Operator (biology); Matching (statistics); Resource allocation; Game theory; Perspective (graphical); Markov chain; Mathematics; Mathematical economics; Artificial intelligence; Machine learning; Computer network","score_opus":0.038233113389940114,"score_gpt":0.2832174353205202,"score_spread":0.24498432193058006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517633710","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":[0.0014532856,0.0014363129,0.9908821,0.00030619797,0.0015890384,0.002131049,0.0004366859,0.0010838191,0.00068151206],"genre_scores_gemma":[0.90411556,0.0031842892,0.089140564,0.000030488376,0.00013847923,0.0023836913,0.00011678614,0.00029034013,0.0005998303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99788874,0.00008829179,0.0006682952,0.0007050461,0.0001324463,0.00051715155],"domain_scores_gemma":[0.99414337,0.00027551444,0.00030514284,0.0048435843,0.00027039548,0.00016196973],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002453449,0.00062519073,0.0006507934,0.00033435354,0.0010458223,0.00037859124,0.0024827942,0.0005302595,0.00001282421],"category_scores_gemma":[0.0000090167205,0.0007733532,0.00038389233,0.00015018803,0.00013730409,0.0002731018,0.000059983955,0.0018514389,0.000026597749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014593031,0.00020389767,0.000002703747,0.00022034734,0.00018527069,8.4362745e-7,0.0019353715,0.9955773,0.0007087327,0.00034323888,0.00002578335,0.00078195706],"study_design_scores_gemma":[0.0007770968,0.00002714919,0.000008051527,0.00055218016,0.00017603335,0.000004658098,0.0005897887,0.9937533,0.0024847926,0.00064790325,0.00022294672,0.0007561133],"about_ca_topic_score_codex":0.00035234453,"about_ca_topic_score_gemma":0.0021487898,"teacher_disagreement_score":0.9026622,"about_ca_system_score_codex":0.0009591245,"about_ca_system_score_gemma":0.000107260275,"threshold_uncertainty_score":0.9994717},"labels":[],"label_agreement":null},{"id":"W2518545741","doi":"10.1109/wcnc.2016.7564657","title":"Resource optimization for energy efficiency in multi-cell massive MIMO with MRC detectors","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Fractional programming; Computer science; Mathematical optimization; MIMO; Telecommunications link; Transmitter power output; Convex optimization; Optimization problem; Base station; Efficient energy use; Transmission (telecommunications); Iterative method; Algorithm; Mathematics; Nonlinear programming; Telecommunications; Regular polygon; Electrical engineering; Engineering; Channel (broadcasting); Transmitter","score_opus":0.0071604246611111574,"score_gpt":0.19477621896930775,"score_spread":0.18761579430819658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518545741","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":[0.0018912836,0.00007784092,0.99594486,0.000020701735,0.000064510125,0.00028885802,0.0000053608046,0.00025362967,0.0014529442],"genre_scores_gemma":[0.815654,0.000017877686,0.18280149,0.000012567861,0.000024251416,0.000120988654,0.000008090078,0.000062512634,0.0012982711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992728,0.0000151188315,0.00020668663,0.0002004329,0.000070096205,0.000234865],"domain_scores_gemma":[0.9995971,0.000090898546,0.000043630644,0.00016807261,0.00005311237,0.000047202626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005572753,0.00014442454,0.00013319997,0.00014125036,0.000029030412,0.000011041837,0.00008649529,0.00007654064,0.000027043789],"category_scores_gemma":[0.000031597967,0.00009837858,0.000022365502,0.00021836681,0.000017553926,0.00016242913,0.0000104720175,0.000028001803,0.0000034733143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016357955,0.000018774763,0.000085671294,0.000023750785,0.000003603123,9.3922466e-7,0.000059962324,0.99431086,0.00385024,0.00007416274,0.000056897476,0.0014987579],"study_design_scores_gemma":[0.001703759,0.000058967173,0.000009216673,0.000060747978,0.000004490876,0.000001107041,0.00007917449,0.9616415,0.035518,0.000004115472,0.00072233117,0.0001965803],"about_ca_topic_score_codex":0.000014350623,"about_ca_topic_score_gemma":0.000107442385,"teacher_disagreement_score":0.81376266,"about_ca_system_score_codex":0.00013205296,"about_ca_system_score_gemma":0.000011347297,"threshold_uncertainty_score":0.40117618},"labels":[],"label_agreement":null},{"id":"W2518975783","doi":"10.1109/wcnc.2016.7564949","title":"Gram-Schmidt precoding for two-tier cellular networks with massive MIMO","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; MIMO; Transmitter; Telecommunications link; Computer science; Zero-forcing precoding; Algorithm; Base station; User equipment; Multi-user MIMO; Topology (electrical circuits); Channel (broadcasting); Mathematics; Computer network","score_opus":0.007056636622371813,"score_gpt":0.19913221920696622,"score_spread":0.1920755825845944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518975783","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":[0.0010367456,0.00016274306,0.9925889,0.000043437114,0.00031264988,0.000505023,0.0000038822586,0.00042178945,0.0049248654],"genre_scores_gemma":[0.8958637,0.000017106637,0.09947693,0.000016908562,0.00025917412,0.0001610539,0.000010190672,0.00008243236,0.0041125054],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992831,0.000008714084,0.00017313578,0.00018137856,0.000061523155,0.00029216256],"domain_scores_gemma":[0.9995481,0.00007997857,0.00003883527,0.00020140884,0.00006537121,0.000066356784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063399086,0.00015595011,0.00015336343,0.00004730177,0.000047274683,0.00002123345,0.000082055645,0.000065824875,0.00007861311],"category_scores_gemma":[0.000012942763,0.00010040725,0.000036752437,0.000096268406,0.00001709565,0.00024683072,0.000012098886,0.000045601868,0.000020041154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016538761,0.0000044499334,0.00018281104,0.000034712753,0.000039103288,0.0000016227892,0.000039759292,0.9841478,0.007839812,0.0013660273,0.00094982167,0.005377558],"study_design_scores_gemma":[0.001918646,0.00008730691,0.000013433114,0.00021351295,0.0000349653,0.0000034830655,0.0000641597,0.94493234,0.04546577,0.0002456679,0.006529759,0.0004909601],"about_ca_topic_score_codex":0.0000026096875,"about_ca_topic_score_gemma":0.000013187435,"teacher_disagreement_score":0.89482695,"about_ca_system_score_codex":0.00007965138,"about_ca_system_score_gemma":0.0000065559866,"threshold_uncertainty_score":0.40944886},"labels":[],"label_agreement":null},{"id":"W2519174317","doi":"10.1109/wcnc.2016.7564872","title":"A MAC solution for distributed coordination of 5G LAA operator networks and fair coexistence with WLAN in unlicensed spectrum","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Computer network; Throughput; Channel (broadcasting); Telecommunications link; Spectrum management; Cellular network; Wireless; Cognitive radio; Telecommunications","score_opus":0.006428101719867227,"score_gpt":0.20145730472842283,"score_spread":0.19502920300855558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519174317","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":[0.019389218,0.00004903691,0.9797406,0.00011324449,0.000046623878,0.000413528,0.000032188782,0.00009301052,0.00012252503],"genre_scores_gemma":[0.99419564,0.000018155053,0.0055908356,0.0000045450947,0.00002155719,0.000044097666,0.000031998723,0.000016751657,0.00007644686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995103,0.000010648196,0.00017292077,0.000119176526,0.000042899235,0.00014405219],"domain_scores_gemma":[0.9997408,0.000052548887,0.000037910555,0.00008935084,0.000050863026,0.000028565846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007628357,0.00008662652,0.00013224437,0.00004832321,0.000018976369,0.000007700475,0.000035399164,0.00005205873,0.0000043280643],"category_scores_gemma":[0.000021752927,0.00006149382,0.0000096184185,0.00015385039,0.00002411962,0.00017868658,0.0000060931275,0.000026445032,4.6223607e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000291455,0.000056012785,0.013296115,0.0003137818,0.000058871563,0.0000029686892,0.00024483175,0.90294725,0.07108254,0.007377844,0.00050125556,0.003827073],"study_design_scores_gemma":[0.0016251818,0.00009384931,0.0026168232,0.00015279026,0.0000069533517,0.0000039683064,0.000047879217,0.9903263,0.0048310924,0.000054479708,0.0000983062,0.00014240465],"about_ca_topic_score_codex":0.000021876036,"about_ca_topic_score_gemma":0.0003124522,"teacher_disagreement_score":0.97480637,"about_ca_system_score_codex":0.000088641165,"about_ca_system_score_gemma":0.0000072563716,"threshold_uncertainty_score":0.25076452},"labels":[],"label_agreement":null},{"id":"W2519277587","doi":"10.1109/wcnc.2016.7564962","title":"Analysis of heterogeneous cellular network with hexagonal tessellated macrocells and randomly positioned small cells","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Spectral efficiency; Macro; Computer science; Coverage probability; Randomness; Topology (electrical circuits); Base station; Poisson distribution; Cellular network; Algorithm; Mathematical optimization; Computer network; Mathematics; Statistics; Combinatorics","score_opus":0.00371222684089776,"score_gpt":0.1601824008224162,"score_spread":0.15647017398151844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519277587","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":[0.28636393,0.00034708163,0.7124217,0.0000077169925,0.0000414322,0.00017272065,0.000015604122,0.00012680488,0.0005029942],"genre_scores_gemma":[0.98801345,0.00010507015,0.011415118,0.000009613678,0.000027406706,0.000007560728,0.000018198925,0.00003200304,0.0003715555],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992383,0.000023811583,0.00027568883,0.00018049937,0.00008134044,0.00020037321],"domain_scores_gemma":[0.99951005,0.00009906083,0.00006575801,0.00017524931,0.000080689446,0.000069186375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074936834,0.00015592502,0.0003415371,0.00013019773,0.000030478008,0.000012233144,0.000058780497,0.00006717845,0.00011024727],"category_scores_gemma":[0.0000022015552,0.00010413499,0.000056326873,0.0004856226,0.00003352644,0.000060055652,0.000012502181,0.00003073579,0.0000056747267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006093781,0.000007948272,0.0007274553,0.000025898918,0.00058211817,0.000005143627,0.000029483683,0.79895675,0.19934256,0.000018412233,0.000021378459,0.00022193088],"study_design_scores_gemma":[0.0028056037,0.000096554424,0.00015135208,0.00010649588,0.00093117275,0.000012884956,0.000014988066,0.3915256,0.60380113,0.000054054817,0.00008454647,0.0004156351],"about_ca_topic_score_codex":0.000009333233,"about_ca_topic_score_gemma":0.000030439589,"teacher_disagreement_score":0.70164955,"about_ca_system_score_codex":0.000025994645,"about_ca_system_score_gemma":0.0000051442353,"threshold_uncertainty_score":0.42465016},"labels":[],"label_agreement":null},{"id":"W2519546801","doi":"10.1109/wcnc.2016.7564970","title":"QoS-aware Joint RRH activation and clustering in cloud-RANs","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cluster analysis; Cloud computing; Computer network; Quality of service; Radio access network; Distributed computing; Base station","score_opus":0.011618328529283108,"score_gpt":0.20328842553802984,"score_spread":0.19167009700874674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519546801","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":[0.04131925,0.000018266799,0.95613927,0.000087674285,0.00018726924,0.00012723604,0.0000013018574,0.00019831324,0.0019214076],"genre_scores_gemma":[0.99642813,0.000040618503,0.0031406695,0.000012140357,0.0000762379,0.000013510881,0.0000015003636,0.000021166014,0.00026600753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959886,0.000007834237,0.00014370469,0.00009836055,0.000038241822,0.00011299527],"domain_scores_gemma":[0.9998325,0.00002324448,0.00001419068,0.00009085085,0.000013210091,0.000026020549],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004939023,0.000074795505,0.00008575966,0.00006876595,0.000013636643,0.000008987938,0.000024095487,0.000045282453,0.000030175432],"category_scores_gemma":[0.000015639334,0.00005726102,0.000008911433,0.00007240499,0.000006950214,0.00026568337,0.0000145704535,0.000033240893,0.000010457062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014839166,0.000012864869,0.0020209502,0.00021115903,0.000017151617,0.0000034428394,0.0009057901,0.65728146,0.30108088,0.00052227604,0.00047705838,0.037452087],"study_design_scores_gemma":[0.0030599923,0.00005659854,0.010208254,0.001046547,0.000008089445,0.00002127206,0.00065059843,0.8229848,0.15845938,0.00045337304,0.0022072855,0.0008438027],"about_ca_topic_score_codex":0.00001621184,"about_ca_topic_score_gemma":0.00009009626,"teacher_disagreement_score":0.9551089,"about_ca_system_score_codex":0.00008689766,"about_ca_system_score_gemma":0.0000025278448,"threshold_uncertainty_score":0.23350365},"labels":[],"label_agreement":null},{"id":"W2519631604","doi":"10.1109/glocom.2016.7842179","title":"Provisioning Statistical QoS for Coordinated Communications with Limited Feedback","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quality of service; Computer science; Base station; Channel (broadcasting); Interference (communication); Quality (philosophy); Provisioning; Function (biology); Single antenna interference cancellation; Computer network","score_opus":0.014765933996373253,"score_gpt":0.24535804517380447,"score_spread":0.23059211117743122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519631604","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":[0.00033222247,0.000028673621,0.9943713,0.00020489332,0.000055421144,0.00048921123,0.00003897091,0.0004859642,0.003993331],"genre_scores_gemma":[0.6677023,0.00001729512,0.33116078,0.000012519513,0.000020353178,0.00014095899,0.0000434169,0.000038898375,0.0008634678],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995213,0.000012956243,0.00015856097,0.000105442334,0.00004498185,0.00015672643],"domain_scores_gemma":[0.99917305,0.00027172125,0.000023466093,0.00036434413,0.00011707388,0.000050373266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054014636,0.00009153678,0.00010456364,0.000044065422,0.000066681154,0.000016943994,0.0001313773,0.000039785267,0.000035531615],"category_scores_gemma":[0.00006267526,0.00005742957,0.000011122089,0.00011664235,0.00004132117,0.00015880585,0.000022499416,0.000037254296,0.000027277887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040152375,0.00029400937,0.0043516387,0.0006566884,0.0005074823,0.000005305787,0.0008413109,0.24630062,0.09487228,0.2395005,0.05091562,0.361353],"study_design_scores_gemma":[0.0031410598,0.00021270635,0.00033051835,0.0003150662,0.000042511172,0.000015615979,0.00019053931,0.9626601,0.0073573054,0.0005788764,0.024601988,0.0005537173],"about_ca_topic_score_codex":0.0000034751029,"about_ca_topic_score_gemma":0.000024037376,"teacher_disagreement_score":0.7163595,"about_ca_system_score_codex":0.00006092653,"about_ca_system_score_gemma":0.000011765345,"threshold_uncertainty_score":0.23419099},"labels":[],"label_agreement":null},{"id":"W2520021748","doi":"10.1109/access.2016.2607702","title":"Optimum Biasing for Cell Load Balancing Under QoS and Interference Management in HetNets","year":2016,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Throughput; Telecommunications link; Computer network; Interference (communication); Quality of service; Base station; Transmitter power output; Scheduling (production processes); Cellular network; Maximum throughput scheduling; Heterogeneous network; Load balancing (electrical power); User equipment; Wireless network; Wireless; Transmitter; Telecommunications; Engineering; Dynamic priority scheduling","score_opus":0.02222732860432667,"score_gpt":0.27252217181258026,"score_spread":0.25029484320825357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520021748","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":[0.10856178,0.00013180717,0.8891464,0.00003197607,0.0005209003,0.0003213036,0.0000036648785,0.0000933453,0.0011888444],"genre_scores_gemma":[0.9938298,0.00009327136,0.005723382,0.000022384877,0.000053470667,0.000059641883,7.802226e-7,0.000027980439,0.0001893056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993964,0.000008024698,0.00017387132,0.00017383353,0.000054147513,0.00019371111],"domain_scores_gemma":[0.99971944,0.000057723104,0.0000301489,0.00013526595,0.000025269577,0.000032122472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008203836,0.00010698601,0.000109748,0.00008657709,0.000021240148,0.000048239453,0.00013369441,0.000040293307,0.0000058139967],"category_scores_gemma":[0.0000063758102,0.000089981935,0.000013084233,0.00008974969,0.000010983398,0.00045742292,0.000037716705,0.000034555924,0.000003708845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042861193,0.000032946315,0.0042433105,0.0010886219,0.000040155745,0.000012194792,0.00035737865,0.9245395,0.030581769,0.00029811796,0.0008344777,0.03792864],"study_design_scores_gemma":[0.011590192,0.00015876353,0.01123189,0.0033931425,0.00009466619,0.000019464642,0.0005183409,0.6560827,0.30792072,0.0044110427,0.0022849094,0.0022941555],"about_ca_topic_score_codex":0.0000067014603,"about_ca_topic_score_gemma":0.000030406243,"teacher_disagreement_score":0.88526803,"about_ca_system_score_codex":0.00015722468,"about_ca_system_score_gemma":0.0000049677074,"threshold_uncertainty_score":0.36693567},"labels":[],"label_agreement":null},{"id":"W2520167381","doi":"10.1002/wcm.2728","title":"Throughput reliability analysis of cloud-radio access networks","year":2016,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Throughput; Cloud computing; Reliability (semiconductor); Computer network; Telecommunications; Wireless; Operating system","score_opus":0.015941104803832786,"score_gpt":0.276278034271178,"score_spread":0.2603369294673452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520167381","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":[0.20172991,0.0014936674,0.7959139,0.00002637623,0.00009487705,0.00019470027,0.000010151826,0.00016491242,0.00037152044],"genre_scores_gemma":[0.989321,0.0023160914,0.008241748,0.000005624352,0.00003129006,0.000031619267,0.000021201886,0.000020669313,0.000010776961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909836,0.00008016958,0.00042989635,0.00016970072,0.00006134292,0.0001605524],"domain_scores_gemma":[0.99798244,0.0004609708,0.00012922045,0.0012636124,0.00011738466,0.000046390403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025271284,0.00012023706,0.00032421053,0.00012755007,0.0001406766,0.000026588406,0.0005253926,0.00006940173,0.0000062569607],"category_scores_gemma":[0.000018652789,0.00009992794,0.000071862225,0.00071143056,0.00013788255,0.00019535188,0.00035182398,0.00009474631,6.244052e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001580727,0.000024315104,0.008968283,0.000028052737,0.00016026787,8.056468e-8,0.00025588027,0.922662,0.00032808777,0.0008238856,0.000023814382,0.06672376],"study_design_scores_gemma":[0.00015600279,0.000010998545,0.0030749652,0.000087442786,0.0001112008,8.8751614e-7,0.000065430686,0.99558806,0.00012051064,0.000037391717,0.00061824644,0.00012885597],"about_ca_topic_score_codex":0.00003703148,"about_ca_topic_score_gemma":0.00002895426,"teacher_disagreement_score":0.7876721,"about_ca_system_score_codex":0.000061453466,"about_ca_system_score_gemma":0.000008347171,"threshold_uncertainty_score":0.40749428},"labels":[],"label_agreement":null},{"id":"W2520253860","doi":"10.1109/wcnc.2016.7564873","title":"Fully distributed scheduling in cloud-RAN systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; C-RAN; Distributed computing; Cloud computing; Radio access network; Scheduling (production processes); Bottleneck; Computer network; Baseband; Base station; Bandwidth (computing); Operating system; Embedded system","score_opus":0.00811636954060879,"score_gpt":0.20604101445339543,"score_spread":0.19792464491278663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520253860","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":[0.024170013,0.00018861445,0.9726149,0.000040367107,0.00058681366,0.00017885609,0.00001730495,0.00048539476,0.0017177726],"genre_scores_gemma":[0.9964446,0.00002594846,0.0031664553,0.0000033772617,0.000107574095,0.000027798122,0.000011012423,0.000027553997,0.00018570073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934715,0.000014961146,0.0002514884,0.00011895406,0.00006411573,0.00020330327],"domain_scores_gemma":[0.9996864,0.000051831405,0.000020426061,0.0001669676,0.000028598424,0.000045783523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000931608,0.0001011036,0.00013633614,0.00006719328,0.000014730659,0.00001657029,0.00007590973,0.000066122404,0.000020623987],"category_scores_gemma":[0.00004834597,0.00007377542,0.000018028126,0.0001768003,0.000008882493,0.00018248214,0.000011763471,0.000045464512,0.0000895105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002807345,0.000004873852,0.0006790838,0.000045412515,0.000007359524,0.000003760812,0.000032556698,0.9806092,0.014597135,0.0031700304,0.0001335737,0.00071424677],"study_design_scores_gemma":[0.001393642,0.000026520755,0.0003359555,0.0005539328,0.000007810849,0.000019936548,0.0005467764,0.98311555,0.0099300025,0.00029310817,0.0031718418,0.0006049278],"about_ca_topic_score_codex":0.00001841387,"about_ca_topic_score_gemma":0.000021489319,"teacher_disagreement_score":0.97227454,"about_ca_system_score_codex":0.00016157339,"about_ca_system_score_gemma":0.0000060151538,"threshold_uncertainty_score":0.30084747},"labels":[],"label_agreement":null},{"id":"W2520409964","doi":"10.1109/wcnc.2016.7565089","title":"MMSE hybrid precoder design for millimeter-wave massive MIMO systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Baseband; MIMO; Orthogonality; Minimum mean square error; Algorithm; Computer science; Precoding; Mean squared error; Control theory (sociology); Mathematics; Mathematical optimization; Channel (broadcasting); Topology (electrical circuits); Bandwidth (computing); Telecommunications","score_opus":0.028748022476686143,"score_gpt":0.2194232687642896,"score_spread":0.19067524628760346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520409964","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":[0.0004373328,0.00030238795,0.99526733,0.00003767854,0.00082530273,0.0011552608,0.000046496443,0.0005144015,0.0014137969],"genre_scores_gemma":[0.8070469,0.00006298297,0.1844805,0.000016825172,0.00025230006,0.0006410671,0.000012836533,0.00013218315,0.0073544295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907714,0.00002980782,0.0002991512,0.00021622152,0.00007948893,0.00029816784],"domain_scores_gemma":[0.99924034,0.00026329007,0.000050128023,0.00026516253,0.00010193038,0.00007914159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012618351,0.00018346931,0.0002116466,0.000080668484,0.000039041992,0.000029894665,0.0000837953,0.00006492574,0.000056978013],"category_scores_gemma":[0.000060286973,0.00012853598,0.000056821562,0.000061384046,0.000014605898,0.0002694125,0.000012565032,0.000030618714,0.00008828532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027279737,0.000014879745,0.000011520722,0.00021676315,0.0001226436,0.0000059063987,0.000073476,0.9251449,0.050103534,0.00061323546,0.016896155,0.0067696744],"study_design_scores_gemma":[0.0008990362,0.000102075595,0.000003338784,0.00019517515,0.000032710355,0.00002967013,0.00007092403,0.81021047,0.18183877,0.0006156622,0.005525839,0.00047635386],"about_ca_topic_score_codex":0.0000035451267,"about_ca_topic_score_gemma":0.0000014864227,"teacher_disagreement_score":0.81078684,"about_ca_system_score_codex":0.0001364742,"about_ca_system_score_gemma":0.000011158518,"threshold_uncertainty_score":0.52415454},"labels":[],"label_agreement":null},{"id":"W2520614761","doi":"10.1109/tvt.2015.2480740","title":"Coverage and Rate Analysis for Limited Information Cell Association in Stochastic-Layout Cellular Networks","year":2015,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Base station; Computer science; Telecommunications link; Cellular network; Path loss; Coverage probability; Multipath propagation; Interference (communication); Fading; Signal-to-interference ratio; Transmitter power output; Power (physics); Channel (broadcasting); Computer network; Real-time computing; Telecommunications; Statistics; Wireless; Mathematics; Transmitter","score_opus":0.0064235319102953084,"score_gpt":0.19167101064525285,"score_spread":0.18524747873495753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520614761","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054698583,0.00011182558,0.9439449,0.00006958458,0.00024572082,0.0004839456,0.000026133544,0.00038461402,0.00003472809],"genre_scores_gemma":[0.99744433,0.00003817132,0.0021813975,0.000026322694,0.000013548019,0.00018717164,0.000048804563,0.000022207589,0.00003802304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916077,0.000030311718,0.00033124152,0.00015230273,0.000087297696,0.00023806686],"domain_scores_gemma":[0.99945706,0.000070844915,0.00009536445,0.00019571588,0.00013057629,0.00005040804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002504155,0.00015717183,0.00026050702,0.0009869565,0.00005496169,0.000028213906,0.000073485935,0.00040883254,0.0000022121726],"category_scores_gemma":[0.000025914545,0.00018312626,0.000060236147,0.0012220117,0.000017028318,0.0003298222,0.0000011313246,0.00025969485,0.000007648311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017171884,0.000021130807,0.000104828316,0.00001491337,0.0001042181,8.633555e-7,0.00010636606,0.9977544,0.000605717,0.000021072488,0.000022401347,0.0012269146],"study_design_scores_gemma":[0.0010490153,0.00006333243,0.000024756497,0.000011472005,0.00016459399,9.757784e-7,0.00011990536,0.9921086,0.0060188794,0.00010944363,0.00015665335,0.00017239273],"about_ca_topic_score_codex":0.000011833949,"about_ca_topic_score_gemma":0.000067865294,"teacher_disagreement_score":0.94274575,"about_ca_system_score_codex":0.00035949034,"about_ca_system_score_gemma":0.000013383785,"threshold_uncertainty_score":0.7467672},"labels":[],"label_agreement":null},{"id":"W2520745536","doi":"10.1109/sam.2016.7569674","title":"Robust MISO downlink: An efficient algorithm for improved beamforming directions","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Beamforming; Telecommunications link; Computer science; Reduction (mathematics); Base station; Channel state information; Sensitivity (control systems); Algorithm; Quality of service; Computational complexity theory; Channel (broadcasting); Set (abstract data type); Power (physics); Performance improvement; Mathematical optimization; Electronic engineering; Wireless; Engineering; Telecommunications; Mathematics","score_opus":0.01253322637134162,"score_gpt":0.22050005684670188,"score_spread":0.20796683047536024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2520745536","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":[0.00054554467,0.000057129393,0.99639153,0.000032492226,0.0005889892,0.00043368584,0.00004329779,0.00080751494,0.0010998053],"genre_scores_gemma":[0.0239324,0.00003184492,0.9730455,0.000015665908,0.0002940041,0.00020367892,0.000028233992,0.00007698096,0.002371647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993488,0.0000053795693,0.00019642257,0.00017277562,0.00004040132,0.000236179],"domain_scores_gemma":[0.9995748,0.000052741558,0.0000251855,0.0001975994,0.00007164994,0.00007805029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082645296,0.00012088647,0.00011663785,0.00007293416,0.00008845037,0.000017776614,0.00007089841,0.000065702276,0.000032027514],"category_scores_gemma":[0.000022732667,0.00008751761,0.000043744938,0.00010220324,0.000012270832,0.00019662069,0.000010241216,0.000032232543,0.0000133483545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000202191,0.000022773062,0.0000026622179,0.000014530516,0.000016745073,1.2033284e-7,0.000054679884,0.66669446,0.021138828,0.00013087004,0.00014781767,0.3117745],"study_design_scores_gemma":[0.00044339552,0.00003296077,0.0000051641446,0.000020809342,0.000008457775,0.000003885463,0.000051369385,0.98314446,0.010466859,0.0000248377,0.005631576,0.0001662072],"about_ca_topic_score_codex":0.000009810957,"about_ca_topic_score_gemma":0.000025200481,"teacher_disagreement_score":0.31645003,"about_ca_system_score_codex":0.00012059819,"about_ca_system_score_gemma":0.000008257995,"threshold_uncertainty_score":0.35688648},"labels":[],"label_agreement":null},{"id":"W2521466549","doi":"10.48550/arxiv.1609.07866","title":"Role of Interference Alignment in Wireless Cellular Network Optimization","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Interference (communication); Computer science; Telecommunications link; Base station; Interference alignment; Context (archaeology); Mathematical optimization; Set (abstract data type); Optimization problem; Cluster (spacecraft); Wireless network; Cellular network; Network topology; Degrees of freedom (physics and chemistry); Topology (electrical circuits); Wireless; Computer network; Algorithm; Channel (broadcasting); Mathematics; MIMO; Telecommunications","score_opus":0.0200499906419557,"score_gpt":0.154343100797546,"score_spread":0.1342931101555903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2521466549","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":[0.059954297,0.00015349725,0.9367232,0.0000019896597,0.00033684078,0.00031836212,0.000016363756,0.0001377138,0.0023577695],"genre_scores_gemma":[0.99772406,0.00040544156,0.0015731539,0.0000020162438,0.00006493717,0.0000025501674,0.00003619086,0.00004299288,0.00014867705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989505,0.000060955183,0.00029738524,0.00039847032,0.00004146409,0.0002512151],"domain_scores_gemma":[0.9991898,0.000038466493,0.00017151787,0.0004670293,0.00007329412,0.000059874652],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010573398,0.0002454704,0.00034098056,0.00017637132,0.00002008948,0.000010149555,0.00034782017,0.0002623593,0.000037314836],"category_scores_gemma":[0.0000068320905,0.00028505857,0.00007276883,0.00028316007,0.000041251933,0.00015481212,0.00026400274,0.00021134084,0.0000095548885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001711947,0.000016784763,0.0013489651,0.00012112164,0.000036230427,0.000011230347,0.000087808774,0.9925591,0.0015004603,0.00416135,0.000016865002,0.00012298189],"study_design_scores_gemma":[0.00030821253,0.000013442198,0.000033152737,0.00062406034,0.00002559994,3.6012042e-7,0.00007376275,0.99161106,0.0037374843,0.00327959,0.000010639364,0.00028263967],"about_ca_topic_score_codex":0.000025605552,"about_ca_topic_score_gemma":0.00002338009,"teacher_disagreement_score":0.9377698,"about_ca_system_score_codex":0.0003641364,"about_ca_system_score_gemma":0.000031064563,"threshold_uncertainty_score":0.9999602},"labels":[],"label_agreement":null},{"id":"W2522296993","doi":"10.11159/eee16.108","title":"A Hybrid Method for Lattice-Reduction-Aided MIMO Detection","year":2016,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Lattice reduction; MIMO; Reduction (mathematics); Computer science; Lattice (music); Electronic engineering; Mathematics; Physics; Telecommunications; Engineering; Acoustics","score_opus":0.006719842714393674,"score_gpt":0.21537083301146914,"score_spread":0.20865099029707546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522296993","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":[0.107238695,0.00034426982,0.88900846,0.0000866105,0.0024591892,0.0005504221,0.0000034543532,0.0002264081,0.00008251085],"genre_scores_gemma":[0.9910175,0.000018386914,0.00848866,0.000004455973,0.00017546205,0.00005587271,4.4658908e-8,0.000016448006,0.0002231232],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991538,0.0000032163646,0.000214916,0.0002475454,0.00014737276,0.00023317566],"domain_scores_gemma":[0.99952966,0.000108203676,0.000069299254,0.000075037475,0.00014216408,0.00007565594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031010495,0.0001340106,0.00019086558,0.00021951122,0.000114713934,0.000084699044,0.0001698602,0.000025416266,1.2573098e-7],"category_scores_gemma":[0.000053952434,0.00008498527,0.000030468264,0.0004360509,0.000055966393,0.00024141134,0.00003419165,0.00007298437,1.8303751e-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":[0.000056659166,0.000033808916,0.00020924411,0.00096341287,0.000087932975,4.1613572e-7,0.00015274122,0.20910722,0.6066343,0.053098187,0.00046994648,0.12918611],"study_design_scores_gemma":[0.00024213771,0.0000633631,0.00009268137,0.00025271563,0.000009408951,0.000044855442,0.0000033029194,0.93326116,0.06535509,0.000069896,0.00047988485,0.00012548141],"about_ca_topic_score_codex":0.000003479616,"about_ca_topic_score_gemma":2.9948401e-7,"teacher_disagreement_score":0.88377887,"about_ca_system_score_codex":0.00006098593,"about_ca_system_score_gemma":0.0000079318015,"threshold_uncertainty_score":0.34655988},"labels":[],"label_agreement":null},{"id":"W2523313626","doi":"10.1109/csndsp.2016.7573922","title":"Joint antenna selection and grouping in Massive MIMO systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; MIMO; Reduction (mathematics); Base station; Antenna (radio); Overhead (engineering); Joint (building); Selection (genetic algorithm); Greedy algorithm; Spatial correlation; Wireless; Algorithm; Computer network; Telecommunications; Mathematics; Channel (broadcasting); Engineering; Artificial intelligence","score_opus":0.009142815790806636,"score_gpt":0.19328989269393473,"score_spread":0.1841470769031281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523313626","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":[0.03732969,0.00025191696,0.96060103,0.000037323658,0.00022879268,0.0001922694,0.0000010146301,0.00024978662,0.0011081847],"genre_scores_gemma":[0.9974625,0.000085743806,0.002129697,0.000003416827,0.00004623506,0.000024113957,6.182313e-7,0.000019560017,0.00022813084],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952656,0.000013934891,0.00017589312,0.00011052916,0.000039452407,0.0001336021],"domain_scores_gemma":[0.9998458,0.00002150759,0.000020989482,0.0000591018,0.000023684051,0.000028894667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069889575,0.00007795913,0.000109350935,0.00010601559,0.000015747508,0.000015304524,0.000019236626,0.000047361147,0.00000795167],"category_scores_gemma":[0.000019956813,0.00005711,0.000008827368,0.000117218726,0.000006324057,0.00023829029,0.000008328777,0.000034505403,0.000012132062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008616696,0.000012414511,0.005149094,0.00030926388,0.00003124439,0.000008852748,0.00030859886,0.29314503,0.68707824,0.0075402074,0.00018562551,0.0062228325],"study_design_scores_gemma":[0.0005520944,0.000028395474,0.0018330427,0.00047774453,0.000004221612,0.000036974314,0.00031033467,0.9895244,0.0066251904,0.00019322873,0.00015131089,0.0002630272],"about_ca_topic_score_codex":0.00003805282,"about_ca_topic_score_gemma":0.00006115076,"teacher_disagreement_score":0.9601328,"about_ca_system_score_codex":0.00011801464,"about_ca_system_score_gemma":0.0000028024363,"threshold_uncertainty_score":0.23288782},"labels":[],"label_agreement":null},{"id":"W2525641726","doi":"10.21700/ijcis.2016.115","title":"Performance Evaluation for Wi-Fi Offloading Schemes in LTE Networks","year":2016,"lang":"en","type":"article","venue":"International Journal of Computing and Information Sciences","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer network; Computer science; LTE Advanced; Telecommunications link","score_opus":0.016269257015430104,"score_gpt":0.2925407386480455,"score_spread":0.2762714816326154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525641726","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":[0.34246805,0.00007602941,0.65612847,0.00009732283,0.0007458533,0.0000648102,8.156518e-7,0.0000121372195,0.0004064744],"genre_scores_gemma":[0.9909332,0.00014402054,0.008745003,0.000030318706,0.0001396743,0.0000017021808,0.0000013432444,0.0000023165892,0.000002420073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991353,0.0000121799985,0.00044769532,0.000038118622,0.00027649617,0.00009021772],"domain_scores_gemma":[0.99916226,0.00012434575,0.00023051964,0.000023982753,0.00043651595,0.000022350732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001279395,0.00005377869,0.00007975867,0.0002894728,0.00005048529,0.00007791083,0.00014814982,0.000024504898,0.0000036414917],"category_scores_gemma":[0.00017859094,0.00003830345,0.000019564688,0.00012344697,0.00003517654,0.003050176,0.000014491548,0.00004011192,0.0000011834475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006523634,0.0000015447337,0.0024041554,0.0000053386675,0.0000065701593,4.834147e-8,0.00023286056,0.77617955,0.00009678351,0.00028417076,0.000048127433,0.22073434],"study_design_scores_gemma":[0.0005532558,0.000031103387,0.0019820945,0.0002624775,0.0000023185132,0.000020029478,0.00010321671,0.99558485,0.00040685147,0.00007635981,0.0009232089,0.00005424824],"about_ca_topic_score_codex":6.051103e-7,"about_ca_topic_score_gemma":5.322768e-7,"teacher_disagreement_score":0.64846516,"about_ca_system_score_codex":0.000085330044,"about_ca_system_score_gemma":0.000031896212,"threshold_uncertainty_score":0.22113039},"labels":[],"label_agreement":null},{"id":"W2527592496","doi":"10.1049/iet-com.2016.1141","title":"Guest Editorial","year":2016,"lang":"en","type":"editorial","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Backhaul (telecommunications); Quality of service; Wireless; Wireless network; Standardization; Computer network; Distributed computing; Telecommunications","score_opus":0.009359496380160768,"score_gpt":0.27338823216267055,"score_spread":0.2640287357825098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527592496","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":[4.8232092e-8,0.0012417893,0.012449834,0.00006790046,0.9676365,0.0002499183,0.00058196543,0.00087324803,0.016898775],"genre_scores_gemma":[0.000053511503,0.003644702,0.0032514734,0.0000021418928,0.9898975,0.0002362453,0.001512731,0.0001515903,0.001250132],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987098,0.0000783349,0.0004332224,0.00019638034,0.0003331226,0.00024916953],"domain_scores_gemma":[0.9952606,0.001013208,0.000121680016,0.003140785,0.00038374553,0.00007999526],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018112865,0.0002824627,0.00031652363,0.000118491706,0.00015966212,0.000058828995,0.0015904487,0.0009169563,0.00001980089],"category_scores_gemma":[0.0005239543,0.0002771859,0.00008765798,0.00015954563,0.000096560034,0.00022463221,0.0002623158,0.0008283681,0.0005559642],"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":[0.0000015881579,0.000011139869,3.8281428e-7,0.000037730606,0.000040333183,1.8082997e-7,0.000049547292,0.000581047,0.00006468074,0.00007421799,0.9989418,0.00019737004],"study_design_scores_gemma":[0.00024768888,0.000009103496,1.2532749e-7,0.00018197804,0.000030186176,3.325434e-7,0.0000071807926,0.00035675833,0.000020634212,0.00013669216,0.9987034,0.00030587878],"about_ca_topic_score_codex":0.00001722214,"about_ca_topic_score_gemma":0.00008196612,"teacher_disagreement_score":0.022260953,"about_ca_system_score_codex":0.0003078092,"about_ca_system_score_gemma":0.00010551451,"threshold_uncertainty_score":0.99996805},"labels":[],"label_agreement":null},{"id":"W2529424943","doi":"10.1002/dac.3196","title":"Co‐tier downlink interference management in dense femtocell networks","year":2016,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Femtocell; Computer science; Telecommunications link; Interference (communication); Computer network; Base station; Power control; Software deployment; Wireless; Transmitter power output; Power (physics); Transmitter; Telecommunications","score_opus":0.01587718021225674,"score_gpt":0.2692692264080288,"score_spread":0.25339204619577205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529424943","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":[0.010562182,0.0029967881,0.9771202,0.0002860982,0.00166658,0.00025138637,0.000006765732,0.00005978087,0.0070502157],"genre_scores_gemma":[0.99384415,0.003657853,0.0020732635,0.00001855876,0.0001416793,0.000020908648,0.000006141573,0.000023189807,0.00021426298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984885,0.0001297797,0.00089979393,0.00008154351,0.0002710751,0.00012930106],"domain_scores_gemma":[0.9986858,0.00016372882,0.00035898548,0.00034711903,0.0003910608,0.000053328997],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052646594,0.00012299816,0.00020247637,0.00036148966,0.000019903258,0.00006799957,0.00087509624,0.00007001169,0.00002133316],"category_scores_gemma":[0.000030069601,0.000096321586,0.00005662445,0.00012647483,0.000032887903,0.00045553572,0.000050636885,0.00016717639,0.000030331083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006978779,0.000046645397,0.0018926793,0.000010942541,0.00022736643,0.000027822074,0.00027432645,0.9713626,0.0009131449,0.0043224734,0.001181758,0.019670442],"study_design_scores_gemma":[0.010537938,0.00023361262,0.0071007805,0.011240915,0.00010398077,0.0010406738,0.003069515,0.87050223,0.003686457,0.0030661835,0.087791465,0.0016262511],"about_ca_topic_score_codex":0.000006694075,"about_ca_topic_score_gemma":0.0000082104525,"teacher_disagreement_score":0.98328197,"about_ca_system_score_codex":0.00041086253,"about_ca_system_score_gemma":0.000012540993,"threshold_uncertainty_score":0.39278805},"labels":[],"label_agreement":null},{"id":"W2529673391","doi":"10.1002/9781119170402.ch3","title":"Backhauling 5G Small Cells with Massive‐MIMO‐Enabled mmWave Communication","year":2016,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"MIMO; Backhaul (telecommunications); Wireless; Computer science; 3G MIMO; Cellular communication; Context (archaeology); Electronic engineering; Telecommunications; Computer network; Engineering; Geology; Channel (broadcasting)","score_opus":0.007536882667652171,"score_gpt":0.19593089669684696,"score_spread":0.18839401402919478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529673391","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[8.013044e-7,0.00049227657,0.44518715,0.000012568028,0.00014908437,0.000354517,0.000013097718,0.0008411982,0.5529493],"genre_scores_gemma":[0.0008380193,0.00081116834,0.1299523,0.000022084683,0.00019390795,0.00007562869,0.00009196829,0.0011052958,0.8669096],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99907047,0.000036174668,0.00025722187,0.000249149,0.00010808297,0.00027893038],"domain_scores_gemma":[0.99881756,0.000053576354,0.00015801354,0.0008407869,0.000056000717,0.00007407962],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006656058,0.000356935,0.00035400412,0.00019850959,0.00003577887,0.000034959732,0.00028661394,0.0003094043,0.0025708051],"category_scores_gemma":[0.0000054098723,0.0002704303,0.000042185417,0.000112438225,0.00003512277,0.00008356611,0.000023775823,0.00018276976,0.00086351176],"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":[0.000021456295,0.00003442801,0.000024465473,0.0010717649,0.00049237657,0.000015657824,0.00022130966,0.39373517,0.0052837664,0.0013978649,0.5938977,0.0038040443],"study_design_scores_gemma":[0.0019512213,0.000048855458,0.0000021820176,0.0036993776,0.00012421803,0.000011557057,0.00022018775,0.038195454,0.01002379,0.00008786085,0.94380295,0.001832325],"about_ca_topic_score_codex":0.00005059553,"about_ca_topic_score_gemma":0.00036706723,"teacher_disagreement_score":0.3555397,"about_ca_system_score_codex":0.00013529656,"about_ca_system_score_gemma":0.000021168362,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W2532967233","doi":"10.1109/lcomm.2016.2619338","title":"Uplink Modeling of $K$ -Tier Heterogeneous Networks: A Queuing Theory Approach","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Heterogeneous network; Telecommunications link; Queueing theory; User equipment; Network packet; Computer network; Stochastic geometry; Queue; Base station; Throughput; Queue management system; Mathematical optimization; Wireless network; Wireless; Telecommunications; Mathematics","score_opus":0.02172646501703544,"score_gpt":0.22890889087678895,"score_spread":0.20718242585975352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532967233","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":[0.008716566,0.0010812031,0.9887562,0.00018031578,0.00014741391,0.00020096533,0.0000042482106,0.00025517342,0.0006579094],"genre_scores_gemma":[0.9351814,0.0003807297,0.06414362,0.00008682255,0.000046200996,0.00007914881,0.0000106454645,0.00005365559,0.000017816357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991461,0.000102992555,0.00035838163,0.00013006786,0.00006758769,0.00019487372],"domain_scores_gemma":[0.9982135,0.00015576363,0.000059870825,0.0014773069,0.000053732718,0.000039778137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022282066,0.00013658541,0.0001746404,0.00010391798,0.00008353957,0.000012068302,0.00061219686,0.00006691667,0.0000037262923],"category_scores_gemma":[0.000021326181,0.000117927106,0.0000653075,0.00016765934,0.00008730098,0.00018340461,0.0000688831,0.00011959564,0.0000070566434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031824611,0.000012192021,0.00002047198,0.000017545575,0.000040282055,1.7014987e-7,0.00018335144,0.98103786,0.0155657595,0.0004290306,0.000071880444,0.0026182502],"study_design_scores_gemma":[0.00017760013,0.0000035492258,0.0000011332537,0.000091256494,0.000015447711,0.000008313379,0.000032217093,0.9985665,0.0007723852,0.00011300298,0.0000720014,0.00014656581],"about_ca_topic_score_codex":0.000006129066,"about_ca_topic_score_gemma":0.000003203883,"teacher_disagreement_score":0.9264648,"about_ca_system_score_codex":0.00009634858,"about_ca_system_score_gemma":0.0000061122387,"threshold_uncertainty_score":0.48089278},"labels":[],"label_agreement":null},{"id":"W2534233946","doi":"10.2316/journal.214.2016.4.214-1080","title":"PERFORMANCE ANALYSIS OF PF MAC SCHEDULER UNDER VARYING FEEDBACK DELAY IN LTE AND LTE-A EUTRAN","year":2016,"lang":"en","type":"article","venue":"Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network; LTE Advanced; Telecommunications link","score_opus":0.025431478901401076,"score_gpt":0.2584064742759115,"score_spread":0.23297499537451044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534233946","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":[0.6660513,0.0023385438,0.32380491,0.00045490375,0.00005213828,0.0002519717,0.00002761752,0.0001543137,0.006864272],"genre_scores_gemma":[0.9827699,0.0021134864,0.014983363,0.000008919381,0.0000038917565,0.0000250116,0.000017288026,0.000016624748,0.00006148365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994635,0.000036153848,0.0002578781,0.000086220694,0.000046005807,0.00011022609],"domain_scores_gemma":[0.99888974,0.00013370709,0.000047945778,0.0008499249,0.000048492424,0.000030165595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011078552,0.000079256875,0.00016597327,0.00026564221,0.000054542026,0.0000073626816,0.0002628725,0.000047029476,0.000018884159],"category_scores_gemma":[0.000015854457,0.00007050225,0.000029544544,0.0006620444,0.0000683478,0.00024198185,0.000077884084,0.000077099685,0.000007325055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005660303,0.000046994577,0.06761432,0.00006711608,0.00034829383,1.523794e-7,0.00078805804,0.90456146,0.013666654,0.0028703632,0.000020322774,0.010010595],"study_design_scores_gemma":[0.00054159074,0.000009491929,0.06633922,0.00018901809,0.00017743632,0.0000016595029,0.00010037441,0.9306851,0.0012546745,0.00012549343,0.00036578707,0.00021016692],"about_ca_topic_score_codex":0.000015464997,"about_ca_topic_score_gemma":0.00019823042,"teacher_disagreement_score":0.3167186,"about_ca_system_score_codex":0.00006009169,"about_ca_system_score_gemma":0.000007998002,"threshold_uncertainty_score":0.28749982},"labels":[],"label_agreement":null},{"id":"W2534896225","doi":"10.1109/w-ficloud.2016.33","title":"Dual-Backhaul Links in LTE - A Mobile Relay System for High-Speed Railways","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer network; Backhaul (telecommunications); Computer science; Base station; Relay; Handover; LTE Advanced; Throughput; Macro; User equipment; Bandwidth (computing); Wireless; Mobile telephony; Network packet; Mobile radio; Telecommunications link; Telecommunications; Power (physics)","score_opus":0.007340954965884563,"score_gpt":0.21130399502276723,"score_spread":0.20396304005688268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2534896225","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":[0.017406896,0.00019726188,0.9706777,0.000052537584,0.0012756046,0.0014560819,0.000039754643,0.0012684304,0.007625769],"genre_scores_gemma":[0.9818358,0.000021630107,0.014800725,0.000009014099,0.00020597465,0.00030797193,0.0000115684825,0.00007774123,0.0027295777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990013,0.000017993525,0.0003861591,0.00021955486,0.00008076347,0.00029418623],"domain_scores_gemma":[0.999393,0.00014247082,0.0000448042,0.00028442807,0.00007471303,0.00006057088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001728808,0.00016639632,0.00024929555,0.00012449746,0.0000269722,0.00001542306,0.00008609654,0.00022123443,0.000037766753],"category_scores_gemma":[0.000058748425,0.000123152,0.000043655247,0.00016603645,0.00001233386,0.0001819832,0.000018881352,0.000088387205,0.00015115125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037031048,0.000025174098,0.00016973545,0.0005389102,0.000042434956,0.000009850528,0.00022146486,0.9323726,0.04587255,0.0126547655,0.00452303,0.0035323997],"study_design_scores_gemma":[0.019065108,0.0006046109,0.000365448,0.003259487,0.000085849526,0.000064395834,0.0014429303,0.6352878,0.26225308,0.0008431202,0.07382147,0.0029067171],"about_ca_topic_score_codex":0.000018684868,"about_ca_topic_score_gemma":0.000040212915,"teacher_disagreement_score":0.9644289,"about_ca_system_score_codex":0.000291095,"about_ca_system_score_gemma":0.00001123477,"threshold_uncertainty_score":0.5021993},"labels":[],"label_agreement":null},{"id":"W2535250272","doi":"10.1109/iwcr.2010.5730219","title":"Joint user selection and quantized power control schemes for uplink cognitive MIMO systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Telecommunications link; MIMO; Computer science; Computational complexity theory; Interference (communication); Power control; Scheduling (production processes); Constraint (computer-aided design); Multi-user MIMO; Selection (genetic algorithm); Power (physics); Mathematical optimization; Algorithm; Computer network; Mathematics; Artificial intelligence","score_opus":0.00833985760908734,"score_gpt":0.22780102240478578,"score_spread":0.21946116479569844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535250272","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":[0.058879603,0.0001528766,0.9384122,0.000016658661,0.00065179705,0.000942658,0.000011708152,0.00039569114,0.00053681835],"genre_scores_gemma":[0.98643184,0.000007375219,0.01298925,0.00001577385,0.00009165333,0.00012289124,0.0000108991335,0.00004450279,0.0002857908],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937135,0.000009952162,0.00022997484,0.00016125086,0.000051093517,0.0001763516],"domain_scores_gemma":[0.99953437,0.000106839565,0.00004334452,0.000074302094,0.00018521678,0.00005595173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013413558,0.00013541008,0.00020839441,0.00007220966,0.00005826046,0.00005144535,0.000026069325,0.00012175849,0.000025476325],"category_scores_gemma":[0.00010967459,0.00012502217,0.00003987032,0.00007483062,0.000014716125,0.00020057068,0.0000053975773,0.00011717548,0.000011157505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000298216,0.00009003094,0.0034830724,0.00090246275,0.00076915877,0.0000022451406,0.0005708767,0.09934222,0.84220755,0.048107803,0.0018337958,0.0023925735],"study_design_scores_gemma":[0.0026960263,0.000069509646,0.00019209723,0.000064693624,0.000053948635,0.000022610982,0.0002806403,0.97444767,0.020101586,0.00006757634,0.0016896073,0.00031401552],"about_ca_topic_score_codex":0.000012828582,"about_ca_topic_score_gemma":0.000031654454,"teacher_disagreement_score":0.9275523,"about_ca_system_score_codex":0.000018251865,"about_ca_system_score_gemma":0.0000081685175,"threshold_uncertainty_score":0.5098256},"labels":[],"label_agreement":null},{"id":"W2535730785","doi":"10.1109/camsap.2007.4498002","title":"Global D.C. Optimization for Multi-User Interference Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematical optimization; Optimization problem; Ergodic theory; Fading; Interference (communication); Convex optimization; Computer science; Global optimization; Gaussian; Function (biology); Channel (broadcasting); Linear programming; Convex function; Mathematics; Regular polygon; Telecommunications","score_opus":0.020409094867722292,"score_gpt":0.27154341630414536,"score_spread":0.25113432143642306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2535730785","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":[0.00024394509,0.00016453674,0.9943912,0.000003007728,0.000890127,0.00050822605,0.000013444415,0.00061170646,0.0031738023],"genre_scores_gemma":[0.5475191,0.000009404498,0.45153508,0.000010895487,0.00009654958,0.000044237062,0.000029096558,0.000030054722,0.00072557566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993221,0.000005201497,0.0002705602,0.00013267789,0.000052556126,0.00021690552],"domain_scores_gemma":[0.99964225,0.00002751137,0.000030937597,0.00013924798,0.000102796876,0.000057255023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014357419,0.0001164903,0.00011843401,0.00004548744,0.00003129887,0.000033106488,0.000088286935,0.00008189899,0.000016353093],"category_scores_gemma":[0.000032514126,0.000115235656,0.000026932954,0.00016929058,0.000008840651,0.00020486709,0.000011164597,0.000027445041,0.000011571044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006356004,0.0000075030134,0.0001485408,0.00006483305,0.000010516075,4.0735443e-7,0.000022667093,0.9925583,0.00011533653,0.0060333856,0.00030852668,0.00072363636],"study_design_scores_gemma":[0.00028509597,0.000015565474,0.000034577588,0.000029470464,0.000005563271,0.000004943789,0.00014432838,0.99817234,0.0004459454,0.000010607738,0.0007116429,0.00013991162],"about_ca_topic_score_codex":0.000014208307,"about_ca_topic_score_gemma":0.00005296543,"teacher_disagreement_score":0.5472752,"about_ca_system_score_codex":0.00017173795,"about_ca_system_score_gemma":0.0000054477637,"threshold_uncertainty_score":0.46991736},"labels":[],"label_agreement":null},{"id":"W2539027132","doi":"10.1109/pimrc.2014.7136384","title":"Radio access virtualization: Cell follows user","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Computer network; User equipment; Virtualization; Wireless; Scheduling (production processes); Radio access network; Wireless network; Server; Distributed computing; Enhanced Data Rates for GSM Evolution; Base station; Cloud computing; Operating system; Engineering; Telecommunications","score_opus":0.007606455793624988,"score_gpt":0.22004589520462653,"score_spread":0.21243943941100155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539027132","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":[0.001109152,0.000047984355,0.8796786,0.000010794766,0.0004073353,0.000111322515,6.9149667e-7,0.00054051535,0.11809361],"genre_scores_gemma":[0.97873425,0.00002087373,0.013267277,0.00007252394,0.00016672195,0.000021084752,0.000016695349,0.000052641644,0.0076479004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995272,0.0000148971985,0.00015311794,0.000109064094,0.000069063586,0.00012663488],"domain_scores_gemma":[0.9996774,0.00002607999,0.000019483108,0.00020160903,0.000029061128,0.000046356487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005759439,0.000096056225,0.00010247128,0.00005085076,0.000030377176,0.000047315953,0.00013512874,0.00005261674,0.00019963858],"category_scores_gemma":[0.000014267271,0.00009412404,0.000023916664,0.00016032692,0.0000060457173,0.0003967452,0.000019709887,0.00003864462,0.00012815163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.8743614e-7,0.0000047868557,0.00045628025,0.00003390008,0.000004926868,2.881405e-7,0.00004715502,0.9879517,0.0010152494,0.0026942294,0.0072580576,0.0005326396],"study_design_scores_gemma":[0.0005135093,0.000014713547,0.00014032771,0.0000145254635,0.000009595734,0.0000023314851,0.00002401596,0.89941436,0.01767127,0.00017511146,0.08172961,0.00029064194],"about_ca_topic_score_codex":0.0000056954814,"about_ca_topic_score_gemma":0.000011799034,"teacher_disagreement_score":0.97762513,"about_ca_system_score_codex":0.000032829324,"about_ca_system_score_gemma":0.0000033684382,"threshold_uncertainty_score":0.3838267},"labels":[],"label_agreement":null},{"id":"W2539255136","doi":"10.1109/pimrc.2014.7136378","title":"Partial mobile data offloading with load balancing in heterogeneous cellular networks using Software-Defined Networking","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Cellular traffic; Cellular network; Quality of service; Load balancing (electrical power); Computer network; Software-defined networking; Distributed computing; Small cell; Mobile computing; Resource allocation","score_opus":0.014405650345322445,"score_gpt":0.21598799445170316,"score_spread":0.2015823441063807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2539255136","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":[0.058418352,0.0007213908,0.93925446,0.0000011046188,0.00052855525,0.0003142024,0.0000020952298,0.0005390744,0.00022075605],"genre_scores_gemma":[0.9250083,0.000022823648,0.074237704,0.000019942105,0.00051193155,0.00002213581,0.00005695333,0.0001059859,0.000014203271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836594,0.000053834257,0.00042417995,0.00042537434,0.0001737583,0.00055688905],"domain_scores_gemma":[0.99895585,0.00010541385,0.00007866324,0.00073228305,0.00003783781,0.00008993516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038659974,0.0002678301,0.00033565811,0.00008036082,0.00008283946,0.00006897545,0.00028925162,0.00012280166,0.00001816512],"category_scores_gemma":[0.000030164365,0.00026313087,0.000024534851,0.00034354758,0.000021173526,0.00037246945,0.00012751321,0.00020032284,0.0000066813923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010523397,0.0000072106996,0.003045855,0.000035852783,0.000019119814,0.000012684978,0.000055742054,0.9926739,0.0010844669,0.0000063028147,0.000022741306,0.0030256044],"study_design_scores_gemma":[0.0004480082,0.000027000575,0.000007107719,0.0001908664,0.000018883151,0.00002406639,0.000019657333,0.99703455,0.0010356525,0.0000062106046,0.00085518905,0.00033282235],"about_ca_topic_score_codex":0.000095788026,"about_ca_topic_score_gemma":0.00026288815,"teacher_disagreement_score":0.86658996,"about_ca_system_score_codex":0.0002353792,"about_ca_system_score_gemma":0.000023188875,"threshold_uncertainty_score":0.9999821},"labels":[],"label_agreement":null},{"id":"W2541760442","doi":"10.4108/icst.5gu.2014.258096","title":"Overview on initial METIS D2D Concept","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metis; Computer science; Systems engineering; Engineering; World Wide Web","score_opus":0.01728498127968223,"score_gpt":0.25984040506358996,"score_spread":0.24255542378390774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541760442","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":[0.00044112443,0.00017774696,0.83244383,0.000021964384,0.00039314636,0.00009730827,0.0000023455646,0.00042705436,0.1659955],"genre_scores_gemma":[0.99130565,0.000031518062,0.007571263,0.00017950709,0.00017570808,0.000012457175,0.0000097389675,0.000029108627,0.00068504416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996243,0.000016909335,0.000114164184,0.00008193125,0.000058683203,0.00010401108],"domain_scores_gemma":[0.99975455,0.000040983425,0.000012084458,0.00014258009,0.00001575593,0.00003405646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004428628,0.000078352954,0.000103176746,0.000028660403,0.000016507363,0.000010241817,0.000050926945,0.000039197,0.00030817083],"category_scores_gemma":[0.000018981185,0.000073109615,0.000021622109,0.000067264606,0.000008148825,0.000083650506,0.000007574388,0.00004840899,0.00024467957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034325553,0.000012267391,0.000020209416,0.0000762016,0.000024712741,0.0000016779398,0.0001882477,0.86621374,0.00071152044,0.049342103,0.0090055475,0.07440035],"study_design_scores_gemma":[0.001213565,0.00016003946,0.000117162235,0.0001552513,0.000019734221,0.000009554836,0.00006562687,0.78153336,0.036316168,0.0012448945,0.17853141,0.0006332076],"about_ca_topic_score_codex":0.000006546414,"about_ca_topic_score_gemma":0.0000061550863,"teacher_disagreement_score":0.9908645,"about_ca_system_score_codex":0.000027329457,"about_ca_system_score_gemma":0.0000019074203,"threshold_uncertainty_score":0.33742544},"labels":[],"label_agreement":null},{"id":"W2543901804","doi":"10.1109/camsap.2007.4498005","title":"Linear Precoders for OSTBC Mimo Systems with Correlated Rayleigh Fading Channels Based on Convex Optimization","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Precoding; Channel state information; Rayleigh fading; Fading; Transmitter; Convex optimization; Interference (communication); Computer science; Control theory (sociology); Mathematics; Spatial correlation; Wireless; Algorithm; Channel (broadcasting); Mathematical optimization; Regular polygon; Telecommunications","score_opus":0.010419510705367278,"score_gpt":0.21712054499788702,"score_spread":0.20670103429251974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543901804","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":[0.0006310569,0.000058205314,0.9886833,0.0000129833015,0.0010435752,0.001535229,0.000011449779,0.00074757554,0.007276638],"genre_scores_gemma":[0.90554047,0.000005826409,0.09281216,0.000042741132,0.00014637204,0.00011605626,0.00017529198,0.00013758137,0.0010235283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987639,0.000017985938,0.00040027566,0.0002778566,0.00015306039,0.0003869015],"domain_scores_gemma":[0.999156,0.00021660523,0.000098212426,0.00023958184,0.00018034963,0.00010923881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028129187,0.0002600471,0.00027633618,0.00023680326,0.000093388095,0.000042174284,0.000094812196,0.00018427592,0.000049833445],"category_scores_gemma":[0.000039389168,0.00023494876,0.00004348314,0.00034055184,0.000019409448,0.00022562762,0.0000052780747,0.00011620207,0.000028308894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000107379085,0.000016219758,0.00016772606,0.00015798601,0.00003247322,0.0000019210102,0.00009822636,0.99886733,0.00011559689,0.00008297438,0.00028081544,0.000071374445],"study_design_scores_gemma":[0.0014231522,0.00014987751,0.000007268308,0.00021400095,0.000024067092,0.0000052101323,0.00016437037,0.9945353,0.0029298586,0.0000016691434,0.00023218215,0.00031299383],"about_ca_topic_score_codex":0.000013826902,"about_ca_topic_score_gemma":0.000005852443,"teacher_disagreement_score":0.9049094,"about_ca_system_score_codex":0.00018702581,"about_ca_system_score_gemma":0.000018272642,"threshold_uncertainty_score":0.9580932},"labels":[],"label_agreement":null},{"id":"W2544159747","doi":"10.1109/acssc.2007.4487512","title":"Optimal Beamforming with Mobile Robots","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mobile robot; Computer science; Beamforming; Robot; Human–computer interaction; Artificial intelligence; Telecommunications","score_opus":0.027568600174344024,"score_gpt":0.2513101351621163,"score_spread":0.22374153498777227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544159747","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":[0.05917098,0.00032069426,0.9140428,0.00005979428,0.0040204,0.0030269278,0.000087918146,0.0020465348,0.017223991],"genre_scores_gemma":[0.92091984,0.0006378899,0.07564758,0.000078857345,0.0006917869,0.0005671478,0.00019414783,0.00034652933,0.0009162531],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99074817,0.00038578003,0.0027449932,0.0021431737,0.0013064337,0.002671432],"domain_scores_gemma":[0.99337715,0.00073864084,0.0011388436,0.001857478,0.0016721251,0.0012157547],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001482826,0.002037639,0.002416059,0.0012155097,0.0005464566,0.0011933232,0.001879669,0.0008418914,0.00048503166],"category_scores_gemma":[0.00008156649,0.0019726772,0.00034735198,0.0013090275,0.00042635406,0.0016783299,0.00026178718,0.0014919994,0.0005589151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069735595,0.00038159147,0.0020459797,0.0013002866,0.00077265064,0.0004222976,0.0021101676,0.5029759,0.005943334,0.009577384,0.0019055572,0.47186753],"study_design_scores_gemma":[0.0028142727,0.0026416911,0.00029076714,0.0058015552,0.000191244,0.00041347794,0.0054690395,0.9562857,0.002296455,0.0002544675,0.01926822,0.004273121],"about_ca_topic_score_codex":0.00043910963,"about_ca_topic_score_gemma":0.0004483953,"teacher_disagreement_score":0.8617488,"about_ca_system_score_codex":0.00093325536,"about_ca_system_score_gemma":0.0007663291,"threshold_uncertainty_score":0.99984354},"labels":[],"label_agreement":null},{"id":"W2544221460","doi":"10.1109/icupc.1994.383092","title":"Wireless operation in the unlicensed PCS band","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Computer network; Wireless; Channel (broadcasting); Transmitter; Bandwidth (computing); Telecommunications; Asynchronous communication; Spectrum management; Radio spectrum; Cognitive radio","score_opus":0.012984378668042687,"score_gpt":0.19632748327311153,"score_spread":0.18334310460506884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544221460","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":[0.10192094,0.0002893494,0.79045755,0.00027922724,0.00025683222,0.000483074,0.0000015239002,0.00034943968,0.10596208],"genre_scores_gemma":[0.99862367,0.00004366073,0.00082732947,0.00006247216,0.000034225257,0.000016181677,0.000003051284,0.000009835271,0.00037956718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997125,0.0000150362785,0.00009715524,0.00005256647,0.00004582209,0.00007686899],"domain_scores_gemma":[0.99985266,0.000020712698,0.0000058732694,0.00010333505,0.000008448052,0.000008990408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052519386,0.000048888138,0.000046862006,0.000027251517,0.000019585086,0.00002017494,0.000052827814,0.000028136019,0.00011814853],"category_scores_gemma":[0.0000047308263,0.000035408848,0.000007620038,0.00011468301,0.000004417402,0.00012797018,0.000001904189,0.000046714296,0.00006448856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.842411e-7,0.000009071572,0.00015467951,0.000010791588,0.0000021499861,0.0000017732192,0.001129499,0.99098563,0.0032678577,0.000803981,0.0017062229,0.0019278487],"study_design_scores_gemma":[0.00019405466,0.000004877924,0.00017097077,0.0000068340046,0.0000011839078,0.0000036936644,0.00019434604,0.9960989,0.0021812464,0.000011637553,0.001066359,0.00006591145],"about_ca_topic_score_codex":0.000008402563,"about_ca_topic_score_gemma":0.00006158069,"teacher_disagreement_score":0.8967027,"about_ca_system_score_codex":0.000024075656,"about_ca_system_score_gemma":6.971148e-7,"threshold_uncertainty_score":0.14439309},"labels":[],"label_agreement":null},{"id":"W2545735026","doi":"10.1109/acssc.2007.4487638","title":"Decentralized Collaborative Uplink Beamforming with Robustness Against Channel Mismatches","year":2007,"lang":"en","type":"article","venue":"Conference record/Conference record - Asilomar Conference on Signals, Systems, & Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Robustness (evolution); Telecommunications link; Fading; Computer science; Channel state information; Channel (broadcasting); Base station; Precoding; Computer network; Algorithm; Telecommunications; Electronic engineering; Engineering; MIMO; Wireless","score_opus":0.02905629653145266,"score_gpt":0.24668428250057345,"score_spread":0.21762798596912078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545735026","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":[0.04623216,0.00046260882,0.93357676,0.00016556511,0.0041802595,0.0033400543,0.00012787148,0.0018516228,0.010063123],"genre_scores_gemma":[0.9502384,0.0018138142,0.045686185,0.000115470015,0.0005145327,0.00046145203,0.0003332033,0.00035960367,0.00047732814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99059886,0.00050581904,0.002866738,0.0021323212,0.0011951444,0.0027011395],"domain_scores_gemma":[0.99216855,0.0008548431,0.0014310358,0.0016233425,0.002675078,0.0012471627],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0015006739,0.0021732014,0.0027531416,0.0011521679,0.00062770286,0.0012764354,0.00177604,0.0009157638,0.0001899177],"category_scores_gemma":[0.00013193856,0.002089455,0.0003089216,0.0018525785,0.00047055996,0.0016262431,0.0002180494,0.0013484703,0.00020326649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017400752,0.0006183621,0.0017526745,0.0026097244,0.0016941241,0.00063913723,0.00591543,0.49154383,0.0075899437,0.012364179,0.0026948543,0.47083765],"study_design_scores_gemma":[0.003362952,0.0010272515,0.00013768593,0.0065647173,0.00016336181,0.00012805779,0.008127439,0.96736073,0.0025936996,0.00031171142,0.00670603,0.003516384],"about_ca_topic_score_codex":0.00026123182,"about_ca_topic_score_gemma":0.00060464477,"teacher_disagreement_score":0.90400624,"about_ca_system_score_codex":0.0010297399,"about_ca_system_score_gemma":0.0011306272,"threshold_uncertainty_score":0.9997603},"labels":[],"label_agreement":null},{"id":"W2546181311","doi":"10.1109/acssc.2006.354893","title":"A Novel Wideband MIMO Channel Model and McMaster's Wideband MIMO SDR","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Wideband; MIMO; Transmitter; Computer science; Channel (broadcasting); Precoding; Electronic engineering; Telecommunications; Engineering","score_opus":0.011600812743722641,"score_gpt":0.204037742851611,"score_spread":0.19243693010788837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546181311","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":[0.0072737443,0.00065778114,0.96766174,0.000055096592,0.0001479374,0.0002766578,0.000017606038,0.0004270177,0.023482416],"genre_scores_gemma":[0.95584625,0.000040134033,0.035770707,0.000065730914,0.0001330571,0.00003827427,0.000020699576,0.00008295569,0.008002212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899405,0.0000059967997,0.00030700685,0.00026753076,0.00011183439,0.00031360696],"domain_scores_gemma":[0.9996059,0.000032043867,0.00003874882,0.00019225052,0.000048990772,0.00008207284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006850639,0.00024286473,0.00023947204,0.00010432987,0.000064159554,0.000054835178,0.00008327672,0.000116653406,0.000023578414],"category_scores_gemma":[0.000011251616,0.00023544923,0.000035903377,0.00014412681,0.0000308488,0.0003796991,0.000031094823,0.00009479872,0.000014364221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066360717,0.000018398425,0.000066748726,0.00006624185,0.00001465055,0.0000014980028,0.000101500504,0.968572,0.028219653,0.0004708949,0.002141485,0.00032026562],"study_design_scores_gemma":[0.000878371,0.000015155175,0.0000704806,0.000048463167,0.000015246086,0.000028973209,0.00004285602,0.9923018,0.005032672,0.00065234874,0.0005928731,0.00032075294],"about_ca_topic_score_codex":0.00013321146,"about_ca_topic_score_gemma":0.00021470111,"teacher_disagreement_score":0.94857246,"about_ca_system_score_codex":0.000049669892,"about_ca_system_score_gemma":0.000008294005,"threshold_uncertainty_score":0.9601341},"labels":[],"label_agreement":null},{"id":"W2546435279","doi":"10.1109/aps.2016.7696553","title":"Multipath effect on off-body channel parametters of a MIMO system using patch antennas inside a mine","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Multipath propagation; MIMO; Rician fading; Transmitter; Computer science; Channel capacity; Channel (broadcasting); Electronic engineering; Delay spread; Acoustics; Telecommunications; Fading; Physics; Engineering","score_opus":0.01137318172382446,"score_gpt":0.22451787311996915,"score_spread":0.2131446913961447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546435279","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":[0.6056831,0.00008780274,0.3928734,0.000011209307,0.00030639584,0.00042059968,0.000012189308,0.0003104419,0.0002948678],"genre_scores_gemma":[0.99501914,0.000010020894,0.004710928,0.000014476302,0.00006765423,0.000034891727,0.000003073492,0.00006851386,0.000071300776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988845,0.00006395231,0.00039038912,0.00023303175,0.00014646578,0.00028166638],"domain_scores_gemma":[0.99920595,0.00021438811,0.00009741029,0.00034905245,0.000060732742,0.0000724876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017360492,0.00023962787,0.00039973165,0.00017696957,0.000025924917,0.000008581143,0.00010023919,0.00009840485,0.000005341288],"category_scores_gemma":[0.00008139519,0.00016188291,0.00007903381,0.00019804714,0.000024835996,0.00016625546,0.000022287823,0.000059204627,0.000024465946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009035326,0.00003721984,0.0019990741,0.00097645645,0.00012179054,0.000031361087,0.00024777008,0.4419797,0.55085534,0.00010486047,0.00008760169,0.0034684562],"study_design_scores_gemma":[0.0013944034,0.0001986774,0.00014740348,0.0016084304,0.000029957977,0.000025203146,0.00010287716,0.86099815,0.13518162,0.0000027504532,0.000024606381,0.00028591938],"about_ca_topic_score_codex":0.00013717322,"about_ca_topic_score_gemma":0.000021147876,"teacher_disagreement_score":0.41901845,"about_ca_system_score_codex":0.00020478056,"about_ca_system_score_gemma":0.0000073752053,"threshold_uncertainty_score":0.6601394},"labels":[],"label_agreement":null},{"id":"W2547127297","doi":"10.1109/ccece.2016.7726646","title":"Intra-MME/S-GW handover performance analysis in virtualized 3GPP-LTE systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Handover; Computer network; Latency (audio); Virtualization; LTE Advanced; Node (physics); Reliability (semiconductor); Mobile telephony; Distributed computing; Cloud computing; Telecommunications link; Operating system; Mobile radio; Telecommunications; Engineering","score_opus":0.005953068222783939,"score_gpt":0.19994268478985514,"score_spread":0.1939896165670712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547127297","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":[0.11029429,0.0002488994,0.88138896,0.0000233871,0.0003381682,0.0002486237,0.0000074190207,0.00037498103,0.007075298],"genre_scores_gemma":[0.99638265,0.00018397103,0.0013963878,0.000012647369,0.00005797836,0.000054433007,0.0000067593746,0.00003249724,0.0018726569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894625,0.000041943807,0.00041458997,0.00020161885,0.00012871507,0.00026686257],"domain_scores_gemma":[0.9994687,0.00007981845,0.000046632922,0.00030070305,0.00004243674,0.00006174223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000213437,0.00016542363,0.0003380315,0.00034755544,0.000027873939,0.000027668684,0.00011784176,0.00008852314,0.00014321749],"category_scores_gemma":[0.000033472694,0.00011706052,0.0000616617,0.0007798749,0.000018148046,0.00042616733,0.000017787388,0.00007071857,0.00015088145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000159465,0.000009892216,0.0054863207,0.00006269248,0.00016775842,0.0000024360359,0.000112501664,0.9834704,0.007078999,0.0010573164,0.00017144019,0.0023643267],"study_design_scores_gemma":[0.0011600903,0.000022582857,0.0012335489,0.00012600594,0.00007409882,0.0000037489901,0.00008825643,0.98952955,0.0064587505,0.000024041012,0.00091848924,0.00036085455],"about_ca_topic_score_codex":0.000049618673,"about_ca_topic_score_gemma":0.00008930285,"teacher_disagreement_score":0.8860884,"about_ca_system_score_codex":0.00018353759,"about_ca_system_score_gemma":0.0000073145015,"threshold_uncertainty_score":0.47735894},"labels":[],"label_agreement":null},{"id":"W2547530351","doi":"10.1109/ccece.2016.7726751","title":"Practical hybrid precoding for multi-user massive MIMO systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Victoria","funders":"","keywords":"Precoding; Beamforming; MIMO; Computer science; Base station; Zero-forcing precoding; Electronic engineering; Transmission (telecommunications); Multi-user MIMO; Spectral efficiency; Computer engineering; Computational complexity theory; Scheme (mathematics); Interference (communication); Algorithm; Computer network; Telecommunications; Engineering; Channel (broadcasting); Mathematics","score_opus":0.03699433461857106,"score_gpt":0.2910965746159066,"score_spread":0.25410223999733555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547530351","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":[0.00033580896,0.000058910224,0.9961971,0.0001267418,0.000846359,0.00068452925,0.000023590983,0.0005252028,0.0012017632],"genre_scores_gemma":[0.6447781,0.000035626927,0.3447177,0.000013900708,0.00026943278,0.0003850415,0.000007731944,0.00009675695,0.009695737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924964,0.000016168622,0.00024774834,0.00017416294,0.000066725916,0.00024557326],"domain_scores_gemma":[0.9993977,0.00022071127,0.00004427071,0.00018069908,0.00008559562,0.000071035545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010449388,0.00012961116,0.00015694721,0.000052106865,0.00003729452,0.000030166848,0.000060529226,0.000055546374,0.00003370043],"category_scores_gemma":[0.00020270348,0.000090854875,0.00004055541,0.000044095348,0.0000116324145,0.00041520025,0.000014381453,0.00004015082,0.00009574839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009213516,0.00014501219,0.0006998441,0.001388366,0.0004386091,0.000034082375,0.00024874133,0.65300584,0.12964642,0.120618895,0.081462674,0.012219372],"study_design_scores_gemma":[0.0012517484,0.00004179113,0.000013333258,0.00021381574,0.000026468042,0.000039096645,0.00016539263,0.9246145,0.04355557,0.000063570704,0.02959857,0.00041613542],"about_ca_topic_score_codex":0.0000030228364,"about_ca_topic_score_gemma":0.0000036254028,"teacher_disagreement_score":0.6514794,"about_ca_system_score_codex":0.00012822742,"about_ca_system_score_gemma":0.000011132827,"threshold_uncertainty_score":0.37049544},"labels":[],"label_agreement":null},{"id":"W2547617727","doi":"10.1109/ccece.2016.7726712","title":"Virtualized allocation performance analysis in 5G two-tier cellular networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Virtualization; Computer network; Macro; Quality of service; Cellular network; The Internet; Distributed computing; Operating system; Cloud computing","score_opus":0.005087832178321801,"score_gpt":0.19886122196564096,"score_spread":0.19377338978731917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547617727","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":[0.057932388,0.00013671633,0.93741715,0.000015140531,0.00012565096,0.000118316726,6.095058e-7,0.00020256863,0.0040514707],"genre_scores_gemma":[0.99490076,0.00012549009,0.0033927835,0.000012339955,0.000051294905,0.000028861807,0.000013546966,0.000022482089,0.0014524466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993246,0.000021254978,0.0002559253,0.0001436968,0.00007319525,0.00018129012],"domain_scores_gemma":[0.99964494,0.000031216645,0.000030017489,0.0002254153,0.000032544853,0.00003588362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001351811,0.00010686959,0.00016985388,0.00021122907,0.000018072842,0.000010226896,0.00007756083,0.00005870356,0.00013115029],"category_scores_gemma":[0.000009953964,0.00008110014,0.000040381787,0.0006867831,0.000010742867,0.0002982073,0.000008294204,0.000044327295,0.00003953989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004047437,0.0000043435357,0.0036933352,0.000006132906,0.000046159774,4.5385647e-7,0.000043880147,0.98552394,0.004856921,0.00019846478,0.000045120894,0.0055771787],"study_design_scores_gemma":[0.00047693923,0.000006102733,0.0008375029,0.000020326192,0.000031462794,2.3497175e-7,0.000012772428,0.99249846,0.005669137,0.000010441985,0.00029673538,0.00013990804],"about_ca_topic_score_codex":0.000020710519,"about_ca_topic_score_gemma":0.00010428346,"teacher_disagreement_score":0.9369684,"about_ca_system_score_codex":0.00011428053,"about_ca_system_score_gemma":0.0000040144932,"threshold_uncertainty_score":0.33071676},"labels":[],"label_agreement":null},{"id":"W2547654785","doi":"10.1109/pimrc.2014.7136457","title":"Dynamic spectrum access for multi-radio access technology, multi-operator autonomous small cell communication systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Computer network; Operator (biology); Spectrum (functional analysis); Cognitive radio; Telecommunications; Wireless","score_opus":0.023315819571392067,"score_gpt":0.2765701554335931,"score_spread":0.25325433586220103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547654785","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":[0.009989257,0.00087513716,0.9843176,0.00009280327,0.00056710857,0.0017074915,0.000024769895,0.0019589462,0.00046688647],"genre_scores_gemma":[0.8386207,0.00009445352,0.1596734,0.00001640561,0.00003323696,0.0006109123,0.00008003468,0.00012543297,0.0007454038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985885,0.000048679518,0.0005325481,0.0003495671,0.000067155815,0.0004135608],"domain_scores_gemma":[0.9986208,0.000084319065,0.00013711171,0.0009530233,0.00011861243,0.00008613456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023547372,0.00030834693,0.0003808776,0.0003300714,0.00017354041,0.00027798372,0.0011601481,0.00029098373,0.0000095453],"category_scores_gemma":[0.00005665493,0.00031359078,0.000060704922,0.00037425698,0.000050352497,0.00063179707,0.0001833737,0.00022092383,0.00003721773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042275406,0.000059372127,0.0004204797,0.00029834255,0.000028389039,3.4747373e-7,0.000056404057,0.99557513,0.0016265131,0.0012345754,0.00008316161,0.00061305834],"study_design_scores_gemma":[0.0010304747,0.000026300955,0.00015442651,0.00006480147,0.00002156559,0.0000065139643,0.0001087597,0.98884434,0.008288189,0.00005489964,0.0010204983,0.00037925228],"about_ca_topic_score_codex":0.00010758246,"about_ca_topic_score_gemma":0.0006649304,"teacher_disagreement_score":0.82863146,"about_ca_system_score_codex":0.00034799575,"about_ca_system_score_gemma":0.000024740793,"threshold_uncertainty_score":0.99993163},"labels":[],"label_agreement":null},{"id":"W2547704730","doi":"10.1109/ccece.2016.7726643","title":"Simulated annealing based joint coverage and capacity optimization in LTE","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"3rd Generation Partnership Project 2; Simulated annealing; Base station; Computer science; Transmitter power output; Capacity optimization; Cellular network; Wireless network; Heterogeneous network; Wireless; Computer network; Telecommunications link; Power (physics); Telecommunications; Algorithm; Transmitter","score_opus":0.013374963296024339,"score_gpt":0.19787430401776518,"score_spread":0.18449934072174085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547704730","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":[0.06331816,0.000028049684,0.935098,0.000031495103,0.00007064232,0.00015922885,0.000005135031,0.00024384444,0.0010454569],"genre_scores_gemma":[0.9740399,0.00002898223,0.025810458,0.000022521479,0.000013971718,0.0000041622156,0.000005308217,0.000022862574,0.000051843028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999487,0.000018482247,0.00019272532,0.000121358134,0.000048449918,0.00013200908],"domain_scores_gemma":[0.9997583,0.00004711647,0.000022026137,0.00010406428,0.000029861763,0.000038626746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089816924,0.00009299203,0.00011331601,0.000097483164,0.000018171953,0.000013441787,0.00002367072,0.00006056045,0.00005692733],"category_scores_gemma":[0.000049998667,0.000073307565,0.000011274085,0.00012811793,0.000011378816,0.00024923123,0.000007262291,0.000036955586,0.000004488185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003025487,0.000003281376,0.0006127123,0.000021545336,0.0000026057967,0.0000011347248,0.00003081872,0.9928018,0.0058635822,0.00004530366,0.000010391989,0.0006038414],"study_design_scores_gemma":[0.00070855295,0.000007647368,0.00022216931,0.00007233308,0.0000017628759,8.5723696e-7,0.000004921274,0.99213576,0.00666505,0.000040443323,0.00002637911,0.000114101655],"about_ca_topic_score_codex":0.000020875557,"about_ca_topic_score_gemma":0.000018197821,"teacher_disagreement_score":0.9107217,"about_ca_system_score_codex":0.00009022936,"about_ca_system_score_gemma":0.000004656268,"threshold_uncertainty_score":0.29893956},"labels":[],"label_agreement":null},{"id":"W2547895063","doi":"10.1109/ccece.2016.7726729","title":"Optimal power allocation for massive MU-MIMO downlink TDD systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Precoding; MIMO; Computer science; Coherence time; Base station; Beamforming; Duplex (building); Channel state information; Spectral efficiency; Channel (broadcasting); Electronic engineering; Computer network; Real-time computing; Wireless; Telecommunications; Coherence (philosophical gambling strategy); Engineering; Mathematics; Statistics","score_opus":0.00791470504662198,"score_gpt":0.2189912030545463,"score_spread":0.21107649800792433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2547895063","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":[0.0018703787,0.00015956718,0.991777,0.00013905167,0.00086440094,0.0007027013,0.000026193395,0.0005622943,0.0038983906],"genre_scores_gemma":[0.95934117,0.00002521534,0.03762891,0.000013529872,0.00016715495,0.00027726605,0.000020832216,0.00006178614,0.002464131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991869,0.000011874782,0.00028536012,0.00018774232,0.000087467255,0.0002406939],"domain_scores_gemma":[0.99941134,0.00009307935,0.000049934537,0.00023872784,0.00014185472,0.00006503928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009904443,0.00015104807,0.00016107644,0.00007455473,0.00003896397,0.000028662815,0.00009986326,0.000107510525,0.000059572674],"category_scores_gemma":[0.000050147864,0.000108462875,0.0000457881,0.00008553575,0.000014664497,0.00032715016,0.000012631174,0.00003330616,0.00013136858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012197546,0.000010194672,0.000026788273,0.0000868549,0.000045694796,8.380766e-7,0.00008408825,0.9410066,0.042382,0.011735677,0.0030936773,0.0015153779],"study_design_scores_gemma":[0.0021162236,0.0001880017,0.00010624332,0.0003506963,0.000045981644,0.000019912264,0.00061514653,0.9338488,0.03228289,0.00028366575,0.029150866,0.0009915634],"about_ca_topic_score_codex":0.000004715185,"about_ca_topic_score_gemma":0.0000034141092,"teacher_disagreement_score":0.9574708,"about_ca_system_score_codex":0.00015557923,"about_ca_system_score_gemma":0.000012220301,"threshold_uncertainty_score":0.44229877},"labels":[],"label_agreement":null},{"id":"W2548369657","doi":"10.1007/978-3-319-32721-1","title":"Wireless Traffic Steering For Green Cellular Networks","year":2016,"lang":"en","type":"book","venue":"","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":"University of Waterloo","funders":"","keywords":"Wireless; Computer science; Computer network; Wireless network; Telecommunications","score_opus":0.0077379130749310665,"score_gpt":0.18733850150507733,"score_spread":0.17960058843014626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2548369657","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000048745947,0.0008905491,0.8577526,0.0000046377754,0.00093313,0.0007176363,0.000030010653,0.00092798437,0.13873859],"genre_scores_gemma":[0.0023659843,0.0001512742,0.0037082862,0.000008437478,0.0015881689,0.00015289131,0.00019740607,0.00038503364,0.9914425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988925,0.0000059835666,0.0003696096,0.00028162837,0.00009731303,0.00035296343],"domain_scores_gemma":[0.9993526,0.00008854749,0.0000748107,0.00034151427,0.000062474646,0.00008005139],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007780913,0.00037116988,0.00042617327,0.000105171246,0.00004097707,0.000020180536,0.0001978628,0.00047854413,0.0000620307],"category_scores_gemma":[0.0000029355792,0.00033687594,0.0001340614,0.000038128055,0.000017638285,0.00011999407,0.000023831033,0.00016504503,0.000042299347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035890616,0.0000017425675,1.13593295e-7,0.00040176968,0.00007087365,0.0000026597525,0.000019740728,0.96011585,0.00011721488,0.0011038693,0.01433384,0.02382874],"study_design_scores_gemma":[0.00039111247,0.000020627811,5.9362037e-8,0.00045774292,0.000042171454,0.0000027738288,0.0000042150205,0.81813586,0.00016139289,0.000136912,0.18006378,0.0005833686],"about_ca_topic_score_codex":9.042148e-7,"about_ca_topic_score_gemma":0.000016003005,"teacher_disagreement_score":0.8540443,"about_ca_system_score_codex":0.00032162495,"about_ca_system_score_gemma":0.000031195177,"threshold_uncertainty_score":0.9999083},"labels":[],"label_agreement":null},{"id":"W2550786979","doi":"10.1109/tvt.2016.2628387","title":"Low-Complexity QoS-Aware Coordinated Scheduling for Heterogeneous Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Scheduling (production processes); Quality of service; Computer science; Femtocell; Computer network; Beamforming; Distributed computing; Engineering; Base station; Telecommunications","score_opus":0.012502448902084701,"score_gpt":0.22554590328452595,"score_spread":0.21304345438244124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550786979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023694245,0.00012917735,0.97218466,0.00021097274,0.00093471527,0.00058716506,0.00004612431,0.002200044,0.000012920434],"genre_scores_gemma":[0.98809195,0.00007433631,0.011236459,0.000021749796,0.000057621455,0.00035842226,0.000006399784,0.00009411456,0.000058923455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883,0.000018404753,0.0003143741,0.00033918652,0.00007107373,0.00042691446],"domain_scores_gemma":[0.9992582,0.000063608306,0.000051347386,0.0004437957,0.000121006786,0.00006203157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069743284,0.00025259913,0.0002817303,0.00033364032,0.00016887485,0.000012992257,0.00021028447,0.00046436934,0.00002890492],"category_scores_gemma":[0.000008747819,0.00022403435,0.000119924895,0.00042753725,0.000120568264,0.00011882273,0.0000015699525,0.00022928175,0.000033845885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018897897,0.000035574703,0.0000028126613,0.00003896825,0.000064308195,0.000006583202,0.000005939016,0.95601386,0.02214956,0.00011835312,0.000018149702,0.021526998],"study_design_scores_gemma":[0.0009930126,0.00011572591,0.0000011507822,0.00014673652,0.000037781643,0.000056894136,0.000021647747,0.6659993,0.3315004,0.00041897496,0.00036771764,0.00034062203],"about_ca_topic_score_codex":0.0000019652007,"about_ca_topic_score_gemma":0.000026379746,"teacher_disagreement_score":0.9643977,"about_ca_system_score_codex":0.0001969534,"about_ca_system_score_gemma":0.000010988435,"threshold_uncertainty_score":0.91358554},"labels":[],"label_agreement":null},{"id":"W2551179900","doi":"10.1109/allerton.2010.5706916","title":"Asynchronous interference alignment","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Asynchronous communication; Node (physics); Interference (communication); Interference alignment; Computer science; Channel (broadcasting); Antenna (radio); Co-channel interference; Constant (computer programming); Single antenna interference cancellation; Topology (electrical circuits); Scheme (mathematics); Electronic engineering; Computer network; Telecommunications; MIMO; Physics; Engineering; Electrical engineering; Mathematics; Acoustics","score_opus":0.010521895634674767,"score_gpt":0.2287237245520205,"score_spread":0.21820182891734574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551179900","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":[0.0019031112,0.0001766319,0.9482481,0.000014205995,0.0026650033,0.00030484764,0.000010790233,0.0008806907,0.045796644],"genre_scores_gemma":[0.9238995,0.00009358476,0.07516753,0.0000142851795,0.0001953328,0.00010332969,0.000049308044,0.00006170452,0.0004154473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925345,0.000008095662,0.0002519645,0.00023436312,0.00007581044,0.00017629977],"domain_scores_gemma":[0.99934936,0.000014219635,0.000041948984,0.00049799983,0.00003645182,0.000060024307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053027125,0.0002297425,0.00021474088,0.000065866436,0.000015559523,0.00004342447,0.00023702052,0.00032358745,0.0003121918],"category_scores_gemma":[0.000010387145,0.00023164767,0.000048345664,0.000031616182,0.000015733383,0.000051076375,0.00022693758,0.00056743366,0.00016311822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.5457896e-7,0.000007900224,0.00002087705,0.00020046714,0.000033559474,0.0000024610238,0.00014124722,0.990372,0.0024275912,0.0008177062,0.00081538607,0.0051599676],"study_design_scores_gemma":[0.00023082866,0.000024116813,0.000043761927,0.00034660572,0.000032466363,0.000014063507,0.00006745801,0.9603403,0.030976664,0.0034347097,0.0034990255,0.0009899591],"about_ca_topic_score_codex":0.000019268293,"about_ca_topic_score_gemma":0.000053576492,"teacher_disagreement_score":0.92199636,"about_ca_system_score_codex":0.00015091705,"about_ca_system_score_gemma":0.000020761003,"threshold_uncertainty_score":0.9446318},"labels":[],"label_agreement":null},{"id":"W2551618634","doi":"10.1049/iet-spr.2016.0151","title":"Guest Editorial","year":2016,"lang":"en","type":"editorial","venue":"IET Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Provisioning; Software deployment; Wireless network; Heterogeneous network; Wireless; Mobile broadband; Cellular network; Interoperability; Radio resource management; Telecommunications; Distributed computing; World Wide Web","score_opus":0.005122501110519507,"score_gpt":0.23994722011821604,"score_spread":0.23482471900769653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551618634","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":[3.231411e-7,0.0010554615,0.14960337,0.000004275653,0.84539443,0.00016909628,0.00010145092,0.00086582126,0.0028057941],"genre_scores_gemma":[0.00051793555,0.00007872949,0.0008623509,0.0000022324937,0.9972059,0.0000596399,0.00021869966,0.00026319487,0.0007912894],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977707,0.00002884973,0.0005191377,0.00043292937,0.0007677172,0.00048064385],"domain_scores_gemma":[0.9987473,0.0002518107,0.0001949194,0.00024433236,0.00044120545,0.000120429526],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00023124952,0.00048637888,0.00049156597,0.00015066007,0.00013005997,0.00017502028,0.00034735363,0.0013264652,0.000035227175],"category_scores_gemma":[0.0001739365,0.0004367401,0.00008821419,0.00018265922,0.000050997467,0.0005856546,0.000046200992,0.0007908967,0.0001860576],"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":[0.000013941373,0.0000060947145,3.5466894e-7,0.00060530053,0.000023215835,0.0000055764385,0.00005556436,0.006359778,0.00081984355,7.797599e-7,0.98819923,0.003910318],"study_design_scores_gemma":[0.00042747657,0.000024565828,2.7761963e-8,0.0011238253,0.00003663585,0.0000012846172,0.000007477609,0.0021055902,0.00052342005,0.000108174296,0.99507934,0.0005621611],"about_ca_topic_score_codex":0.0000037970144,"about_ca_topic_score_gemma":0.000003026616,"teacher_disagreement_score":0.15181151,"about_ca_system_score_codex":0.00034656888,"about_ca_system_score_gemma":0.0002422968,"threshold_uncertainty_score":0.99997},"labels":[],"label_agreement":null},{"id":"W2551844738","doi":"10.1002/ett.3128","title":"Utility function design for strategic radio resource management games: An overview, taxonomy, and research challenges","year":2016,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Function (biology); Modular design; Game theory; Management science; Resource (disambiguation); Taxonomy (biology); Risk analysis (engineering); Business; Microeconomics; Economics","score_opus":0.20854513150017095,"score_gpt":0.3360457639148776,"score_spread":0.12750063241470666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551844738","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":[0.00056974083,0.0071858135,0.984941,0.0018274321,0.000054452707,0.0013626646,0.000017252321,0.0028355313,0.0012060968],"genre_scores_gemma":[0.8176758,0.040526677,0.13924418,0.0000036099125,0.000007883006,0.0023521264,0.000007704563,0.000050087085,0.00013191649],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867153,0.00017075353,0.0003187371,0.0003578275,0.00012958533,0.00035153853],"domain_scores_gemma":[0.9978094,0.0004653483,0.000050042156,0.0015255387,0.000109868706,0.00003982169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007112441,0.0002035141,0.00019027804,0.0006140529,0.00054460904,0.000040421517,0.00045101743,0.000234977,0.000014425306],"category_scores_gemma":[0.000028649394,0.0001801212,0.00004549561,0.00047459174,0.00022084684,0.00037846764,0.0000211688,0.00038440563,0.000008462379],"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":[0.00006391883,0.00016755889,0.0000028286004,0.00021696935,0.00015392361,4.534034e-7,0.00026808307,0.09857771,0.00084111275,0.024244841,0.00028114123,0.87518144],"study_design_scores_gemma":[0.0047371495,0.0021495037,0.0004361191,0.0017059061,0.00037028288,0.000046519082,0.09920957,0.38453308,0.023803802,0.12877207,0.3516058,0.0026301784],"about_ca_topic_score_codex":0.0000037481836,"about_ca_topic_score_gemma":0.00004530231,"teacher_disagreement_score":0.87255126,"about_ca_system_score_codex":0.00014837197,"about_ca_system_score_gemma":0.000013097305,"threshold_uncertainty_score":0.734513},"labels":[],"label_agreement":null},{"id":"W2551866416","doi":"10.1109/twc.2016.2626444","title":"Optimal Dynamic Point Selection for Power Minimization in Multiuser Downlink CoMP","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Telecommunications link; Selection (genetic algorithm); Computer science; Minification; Mathematical optimization; Multiuser detection; Telecommunications; Mathematics; Code division multiple access; Artificial intelligence","score_opus":0.013346299219297381,"score_gpt":0.25615932161593225,"score_spread":0.24281302239663485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551866416","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":[0.015152096,0.00005863907,0.98229045,0.0005278813,0.00032688995,0.0008535285,0.00012079215,0.00050966727,0.00016006903],"genre_scores_gemma":[0.93757594,0.00044211507,0.060893618,0.00002430336,0.000009766409,0.00073611515,0.00003465532,0.00008104754,0.00020246062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987889,0.00008520454,0.0004985254,0.00024447136,0.00010314465,0.00027973726],"domain_scores_gemma":[0.9984777,0.0003866563,0.00007778453,0.0008332117,0.00015685076,0.00006780116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013077808,0.00022384933,0.00023013845,0.00036887766,0.00023318405,0.00002716074,0.00037193965,0.0001660389,0.00003976583],"category_scores_gemma":[0.0000104565615,0.00021378766,0.000095704316,0.0004685015,0.00007788473,0.0004551364,0.0000031114087,0.00021399611,0.00003883045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003809006,0.00018675419,0.000033572738,0.000024220179,0.000037781003,1.1676054e-7,0.00037000116,0.970343,0.015912455,0.00021849664,0.0000598031,0.0127757015],"study_design_scores_gemma":[0.0015156477,0.00006870783,0.00013552269,0.00018088569,0.00002411169,0.0000062718036,0.00013444478,0.98773456,0.009122091,0.000054373733,0.0006906419,0.0003327582],"about_ca_topic_score_codex":0.000017543505,"about_ca_topic_score_gemma":0.000800894,"teacher_disagreement_score":0.92242384,"about_ca_system_score_codex":0.00048737848,"about_ca_system_score_gemma":0.000030569314,"threshold_uncertainty_score":0.8718008},"labels":[],"label_agreement":null},{"id":"W2552661471","doi":"10.22215/etd/2011-09692","title":"Dynamic inter-cell interference coordination in cellular OFDMA networks","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Industry Canada","keywords":"Interference (communication); Computer science; Telecommunications; Computer network","score_opus":0.005325596950686773,"score_gpt":0.205374703255396,"score_spread":0.20004910630470923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552661471","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":[0.019298006,0.0014245561,0.9373723,0.000002392908,0.0024909938,0.00054145703,0.000005341636,0.0004377221,0.038427193],"genre_scores_gemma":[0.9681756,0.00024036814,0.0017213888,0.0000039270676,0.000032499276,0.00014043787,0.001166968,0.00012396599,0.028394846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883455,0.000026939822,0.00050994835,0.00029805247,0.00007365751,0.00025688094],"domain_scores_gemma":[0.9994626,0.000023342776,0.0001279194,0.00025061987,0.00008995776,0.00004553474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008009258,0.00033867967,0.00033535672,0.0003494996,0.00001886263,0.000029389372,0.0002328361,0.0004381413,0.00024539698],"category_scores_gemma":[0.000009930546,0.00037756082,0.000059661048,0.0002666118,0.0000081201715,0.00022826098,0.000016227632,0.00042757642,0.000052271058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005297085,0.00008942822,0.00029998366,0.0012566474,0.0000539695,0.000014857344,0.0015333632,0.9611017,0.011389393,0.0002898076,0.0007682219,0.023149667],"study_design_scores_gemma":[0.0002825252,0.000024325955,0.000118504984,0.0005912729,0.000022355276,6.2904815e-7,0.00041400088,0.9928342,0.005056002,0.00011029488,0.000084495536,0.00046136248],"about_ca_topic_score_codex":0.00010680299,"about_ca_topic_score_gemma":0.0022645942,"teacher_disagreement_score":0.9488776,"about_ca_system_score_codex":0.00021209566,"about_ca_system_score_gemma":0.000015459746,"threshold_uncertainty_score":0.9998676},"labels":[],"label_agreement":null},{"id":"W2553591559","doi":"10.1109/tsp.2018.2879620","title":"Iterative Channel Estimation Using LSE and Sparse Message Passing for MmWave MIMO Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":171,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Providence Health Care","keywords":"Algorithm; Message passing; Estimator; MIMO; Iterative method; Computer science; Channel (broadcasting); Sparse matrix; Gaussian; Mathematics; Statistics; Telecommunications","score_opus":0.029092546310961476,"score_gpt":0.26641466642224515,"score_spread":0.23732212011128367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553591559","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":[0.0075692656,0.0003126875,0.99057025,0.000011205262,0.00047189908,0.0005778247,0.000030469693,0.0003171375,0.00013928511],"genre_scores_gemma":[0.9641898,0.000006798003,0.035364516,0.000015154943,0.0001859347,0.00009732383,0.0000054486977,0.00007914,0.000055832574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888134,0.000034283807,0.00036081427,0.00029567885,0.00013938428,0.00028851142],"domain_scores_gemma":[0.9994113,0.00007793321,0.00010713387,0.00011246229,0.0002057591,0.000085414424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016606435,0.00025285993,0.000250992,0.00022424241,0.0005475094,0.0002240574,0.000058486316,0.00012663171,0.0000058065266],"category_scores_gemma":[0.0000047668195,0.00026682852,0.000043208714,0.0002762625,0.00008338239,0.00091458583,7.958015e-7,0.00014598477,0.0000040490454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000345909,0.000019250741,5.563972e-7,0.00038130442,0.000027843784,0.0000012506619,0.0012898444,0.9576596,0.019469008,0.0000075984008,0.000006341127,0.021102833],"study_design_scores_gemma":[0.00044457283,0.00007932486,0.000001123391,0.0006981931,0.00006159206,0.000032274158,0.00040365598,0.947856,0.050044496,0.00008574658,0.00002532672,0.00026768656],"about_ca_topic_score_codex":0.0000074746235,"about_ca_topic_score_gemma":0.0000062444433,"teacher_disagreement_score":0.9566206,"about_ca_system_score_codex":0.00016785279,"about_ca_system_score_gemma":0.000035545258,"threshold_uncertainty_score":0.99997836},"labels":[],"label_agreement":null},{"id":"W2556091316","doi":"10.1109/netwks.2016.7751153","title":"Walk test simulator for LTE/LTE-A network planning","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Handover; Computer science; Quality of service; Simulation; Real-time computing; Network simulation; Telecommunications link; Task (project management); Computer network; Engineering","score_opus":0.01127081803220564,"score_gpt":0.23365955366367208,"score_spread":0.22238873563146644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556091316","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":[0.0009302071,0.0001604403,0.9932051,0.000031061452,0.00041861634,0.00026847827,0.000008538409,0.0006324641,0.0043451255],"genre_scores_gemma":[0.9587997,0.0000070849355,0.03797032,0.000032085725,0.00050227233,0.00004782829,0.0000055200126,0.00006093261,0.0025742352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993862,0.0000036467718,0.00017608392,0.00012533416,0.000047579244,0.00026114538],"domain_scores_gemma":[0.9993487,0.000377898,0.000023306831,0.00016051948,0.000035514066,0.00005406133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006708436,0.000111905574,0.00012385889,0.000027356153,0.000044392586,0.000012961238,0.00007086383,0.00006180918,0.0000471149],"category_scores_gemma":[0.0000974786,0.00008071988,0.00003197066,0.00008012351,0.0000075963585,0.00017130634,0.000012402369,0.00002789947,0.000051887357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004218507,0.000003025713,0.0009013517,0.000022239607,0.000009663637,5.915787e-7,0.00002338984,0.9895735,0.0015060166,0.0003397473,0.006074641,0.0015416546],"study_design_scores_gemma":[0.0008439194,0.000046996545,0.00020017284,0.00017718483,0.000010698854,0.0000028165346,0.000021151282,0.96005803,0.002825146,0.0005508257,0.03493932,0.00032376303],"about_ca_topic_score_codex":0.0000010491536,"about_ca_topic_score_gemma":0.000002485345,"teacher_disagreement_score":0.9578695,"about_ca_system_score_codex":0.000057196426,"about_ca_system_score_gemma":0.000005072477,"threshold_uncertainty_score":0.3291661},"labels":[],"label_agreement":null},{"id":"W2556747418","doi":"10.1109/tvt.2016.2626245","title":"Uniquely Factorable Hexagonal Constellation Designs for Noncoherent SIMO Systems","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hexagonal crystal system; Constellation; Transmitter; Quadrature amplitude modulation; QAM; Mathematics; Topology (electrical circuits); Coding (social sciences); Electronic engineering; Algorithm; Bit error rate; Computer science; Decoding methods; Telecommunications; Channel (broadcasting); Physics; Engineering; Combinatorics","score_opus":0.020468972223252762,"score_gpt":0.23354087244871885,"score_spread":0.2130719002254661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556747418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009051783,0.0001743202,0.98696655,0.00013898688,0.0008956378,0.0010595894,0.00008144838,0.0014229162,0.00020875028],"genre_scores_gemma":[0.99392587,0.00008199271,0.005318247,0.000008673121,0.000024914529,0.00031245884,0.0000054405104,0.000071606555,0.00025077583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989038,0.000029961999,0.00034838158,0.0002825057,0.00010963129,0.00032568886],"domain_scores_gemma":[0.99926287,0.00013629251,0.000065722714,0.0003476981,0.0001285234,0.000058902602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098749886,0.00023008014,0.00026788842,0.00039137018,0.00012145846,0.000018706669,0.00014593381,0.00040564555,0.000032879143],"category_scores_gemma":[0.000006845044,0.0001936388,0.0000860957,0.0003148331,0.00008148505,0.00017220234,7.839898e-7,0.00015710616,0.000048780163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017624048,0.000034073822,0.000013755246,0.0000630299,0.000075750664,0.0000022620727,0.000011996389,0.8832037,0.10238327,0.00082092074,0.00010757947,0.013266035],"study_design_scores_gemma":[0.0019235669,0.00037104642,0.0000034605357,0.00033707987,0.00008439211,0.00006880066,0.00013735269,0.298367,0.6874566,0.0010459552,0.009553071,0.00065166876],"about_ca_topic_score_codex":0.0000047280732,"about_ca_topic_score_gemma":0.000010086088,"teacher_disagreement_score":0.9848741,"about_ca_system_score_codex":0.0003179147,"about_ca_system_score_gemma":0.00003110196,"threshold_uncertainty_score":0.78963614},"labels":[],"label_agreement":null},{"id":"W2558955488","doi":"10.1109/lcomm.2016.2635146","title":"Virtual Small Cells Formation in 5G Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Macrocell; Base station; Computer science; Computer network; Small cell; Virtual network; Cellular network; Mobile telephony; Mobile radio","score_opus":0.017535267710654792,"score_gpt":0.21547034363625614,"score_spread":0.19793507592560133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558955488","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":[0.027373632,0.00013296255,0.97004,0.0010531791,0.00030129563,0.00021161242,0.000004812651,0.00024013466,0.00064237573],"genre_scores_gemma":[0.9899389,0.00044026406,0.009198743,0.0002110087,0.000041882857,0.00008448976,0.000015050372,0.000029544974,0.00004010643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993431,0.00006670579,0.0002844427,0.0000829196,0.000045715722,0.00017710903],"domain_scores_gemma":[0.9988103,0.00015481394,0.00004790996,0.0009317783,0.000023137687,0.0000320823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010592392,0.00010241449,0.00010139193,0.00012881153,0.000055320026,0.000017419985,0.00044632,0.00005737249,0.0000054250468],"category_scores_gemma":[0.000010830312,0.0000936392,0.000027060094,0.000208375,0.00004608626,0.00036546594,0.000030456025,0.000119683296,0.00006704855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017972169,0.000010392566,0.000050033592,0.000006161932,0.000006088497,5.855713e-7,0.00023567557,0.8340398,0.15324554,0.00018397081,0.0016699117,0.010550058],"study_design_scores_gemma":[0.0012081289,0.000020616837,0.00036096398,0.00033840715,0.000013732959,0.000011791503,0.0001459878,0.9526358,0.035644498,0.00006150379,0.008994295,0.00056423765],"about_ca_topic_score_codex":0.000011855005,"about_ca_topic_score_gemma":0.0001689356,"teacher_disagreement_score":0.9625653,"about_ca_system_score_codex":0.00019448265,"about_ca_system_score_gemma":0.0000030490478,"threshold_uncertainty_score":0.3818496},"labels":[],"label_agreement":null},{"id":"W2560168061","doi":"10.1109/mascots.2016.67","title":"Cloud-Based Spectrum Sharing in Virtual Wireless Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Heuristic; Cloud computing; Distributed computing; Wireless network; Resource allocation; Wireless; Time complexity; Computer network; Mathematical optimization; Algorithm; Mathematics","score_opus":0.0063062847225205465,"score_gpt":0.19565357569853173,"score_spread":0.1893472909760112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560168061","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":[0.035307307,0.000031048017,0.96100384,0.000045090594,0.00042309074,0.000109759654,9.221557e-7,0.00041128136,0.0026676867],"genre_scores_gemma":[0.9985122,0.0000136878,0.00077556167,0.000019828527,0.00015516736,0.00001541989,0.0000017017755,0.00003823986,0.0004681793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993704,0.0000073355986,0.00018615116,0.00014914213,0.00005246089,0.0002345412],"domain_scores_gemma":[0.999703,0.0000439776,0.000016143642,0.00018793417,0.000007833373,0.000041144085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007532226,0.00010540278,0.000117778305,0.00007436447,0.000013824696,0.000011823027,0.00010425401,0.000066512905,0.00009760802],"category_scores_gemma":[0.000007624453,0.00008197947,0.000020752896,0.00015763631,0.0000106353755,0.00014474503,0.00001790527,0.00006263808,0.000041857234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058599353,0.0000045038028,0.0018337196,0.0000058593246,0.0000031315535,0.0000032734265,0.000011544493,0.9921036,0.0009268378,0.002462238,0.00008748598,0.0025519978],"study_design_scores_gemma":[0.00053299,0.000016169955,0.00016738648,0.00009032084,0.0000012685006,0.0000010326492,0.000011650473,0.994079,0.004715783,0.0001004971,0.0001283562,0.00015552892],"about_ca_topic_score_codex":0.000010431701,"about_ca_topic_score_gemma":0.00018193728,"teacher_disagreement_score":0.9632049,"about_ca_system_score_codex":0.00013840458,"about_ca_system_score_gemma":0.000005036357,"threshold_uncertainty_score":0.33430257},"labels":[],"label_agreement":null},{"id":"W2561568723","doi":"10.1049/iet-com.2016.0983","title":"Low‐complexity hybrid precoding for multi‐user massive MIMO systems: a hybrid EGT/ZF approach","year":2016,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Victoria","funders":"","keywords":"Precoding; Computer science; MIMO; Zero-forcing precoding; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.0742567706055381,"score_gpt":0.289488513425815,"score_spread":0.2152317428202769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561568723","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":[0.0011661436,0.0009163206,0.9920928,0.00019652379,0.0003389849,0.001521688,0.00046025167,0.0007251986,0.0025821286],"genre_scores_gemma":[0.760485,0.00034330302,0.23650084,0.00001536174,0.00008522694,0.0014027865,0.00020652812,0.00009726896,0.00086371496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998607,0.00011877638,0.0005226241,0.00027591654,0.00011056735,0.00036513267],"domain_scores_gemma":[0.9970729,0.000355009,0.00015493482,0.00207896,0.00022924833,0.00010896022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024611186,0.00024949556,0.00031334374,0.00012611144,0.00031083674,0.00006613106,0.000947079,0.00006558066,0.000010430758],"category_scores_gemma":[0.00016662586,0.00022166665,0.00010938479,0.000151042,0.00013382628,0.00043674122,0.00019242507,0.00015542154,0.000059266407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008701982,0.0012908446,0.0011227558,0.0036488716,0.0009042028,0.0000046647433,0.0025174287,0.81915325,0.029639034,0.09043634,0.03299781,0.018197782],"study_design_scores_gemma":[0.0015604647,0.000028363756,0.00009269239,0.0004511363,0.00006222194,0.000030124156,0.00033996638,0.9690503,0.0041310014,0.0004421197,0.023204064,0.0006075349],"about_ca_topic_score_codex":0.000023948838,"about_ca_topic_score_gemma":0.000026194133,"teacher_disagreement_score":0.7593188,"about_ca_system_score_codex":0.00029926494,"about_ca_system_score_gemma":0.000030718944,"threshold_uncertainty_score":0.90393037},"labels":[],"label_agreement":null},{"id":"W2562227685","doi":"10.1007/978-3-319-51204-4_13","title":"Towards Dynamic Wireless Capacity Management for the Masses","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","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":"Computer science; Wireless; Cloud computing; Spectrum management; Computer network; Protocol (science); Architecture; The Internet; Physical layer; Distributed computing; Cognitive radio; Telecommunications","score_opus":0.018677042016273574,"score_gpt":0.2304637265746685,"score_spread":0.21178668455839492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2562227685","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":[0.000029186322,0.0004493232,0.9948538,0.00029254102,0.0007389369,0.0009610415,0.00015110643,0.00009101824,0.0024330493],"genre_scores_gemma":[0.018379627,0.00070628483,0.9804207,0.000043280554,0.00012707272,0.0001253431,0.00002837014,0.000038290018,0.00013099704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999144,0.000003455073,0.0004423368,0.00009117463,0.00013210054,0.00018693793],"domain_scores_gemma":[0.9989987,0.00025309646,0.00020398677,0.00041922965,0.00010152139,0.000023449838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021002122,0.00023582278,0.00025854673,0.00010842144,0.000596506,0.000085583495,0.00092649367,0.00014089391,5.2367926e-7],"category_scores_gemma":[0.000015930682,0.00015321618,0.0001462499,0.000096282725,0.00025908204,0.00019270243,0.00022194424,0.00017928908,3.0484392e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.4201114e-7,0.0000018940993,2.0713429e-7,0.000350265,0.00010462265,1.0420611e-8,0.00031078135,0.93024224,0.0000063018942,0.03521379,0.00003024197,0.03373888],"study_design_scores_gemma":[0.00017310164,0.000016648772,0.0000056833833,0.00027277094,0.00007152928,0.0000032525447,0.000005665106,0.96348405,0.00005890544,0.0013376361,0.034347545,0.00022320657],"about_ca_topic_score_codex":0.000004279253,"about_ca_topic_score_gemma":0.000047989677,"teacher_disagreement_score":0.034317303,"about_ca_system_score_codex":0.00011366576,"about_ca_system_score_gemma":0.00003201397,"threshold_uncertainty_score":0.62479746},"labels":[],"label_agreement":null},{"id":"W2564272990","doi":"10.1109/pimrc.2016.7794954","title":"Two-tier cellular communication systems with enhanced vehicular-based primary nodes","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Computer science; Cellular network; Antenna (radio); Transmission (telecommunications); Computer network; Distributed antenna system; 3G MIMO; Smart antenna; Base station; Electronic engineering; Omnidirectional antenna; Telecommunications; Engineering; Channel (broadcasting)","score_opus":0.005360381068549137,"score_gpt":0.18589283362106324,"score_spread":0.1805324525525141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2564272990","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":[0.01620505,0.00067912304,0.9689112,0.000043940618,0.00010876081,0.00035162646,0.0000040626746,0.00063178904,0.013064501],"genre_scores_gemma":[0.96710294,0.000029118488,0.0317802,0.000028944201,0.000034764173,0.00010996768,0.00003056624,0.000059979426,0.0008235208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923223,0.000049160397,0.00023093027,0.00015760466,0.0001379075,0.00019216853],"domain_scores_gemma":[0.9991102,0.000077017765,0.000056337216,0.0006015336,0.00010076511,0.000054115426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011342253,0.00016228679,0.00018648317,0.00006858704,0.00005253695,0.00002803113,0.00015924673,0.00006354251,0.000028118431],"category_scores_gemma":[0.000008439058,0.000105824336,0.00002615294,0.00014132725,0.000036935722,0.00027147177,0.000015930285,0.00005946584,0.000066953246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011130192,0.000011425178,0.00009471101,0.00007940787,0.000022690978,0.0000011642843,0.000032969714,0.7971311,0.20139618,0.00058541575,0.00012188776,0.0005118686],"study_design_scores_gemma":[0.0039260183,0.000077373414,0.00012802744,0.00094526727,0.0000516033,0.000006933975,0.00012607334,0.4780882,0.5124631,0.000051146635,0.0032204497,0.0009158192],"about_ca_topic_score_codex":0.000017726634,"about_ca_topic_score_gemma":0.000009865635,"teacher_disagreement_score":0.9508979,"about_ca_system_score_codex":0.0001825075,"about_ca_system_score_gemma":0.00001975588,"threshold_uncertainty_score":0.43153912},"labels":[],"label_agreement":null},{"id":"W2565413502","doi":"","title":"Modeling and Analysis of User-centric and Disjoint Cooperation in Network MIMO Systems","year":2015,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Yuhan","keywords":"MIMO; Disjoint sets; Computer science; Computer network; Distributed computing; Mathematics; Discrete mathematics","score_opus":0.009160943848689148,"score_gpt":0.21851804012635137,"score_spread":0.20935709627766222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565413502","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":[0.85477954,0.015488888,0.12527972,0.0000047199765,0.00030197154,0.0004898516,0.0000344689,0.000065507695,0.0035553453],"genre_scores_gemma":[0.99538815,0.0021380535,0.0016084414,2.4625274e-7,0.00001566103,5.38312e-7,0.00036637267,0.000017720613,0.0004648322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993699,0.000036453894,0.00017884282,0.00017950048,0.00011301122,0.00012228201],"domain_scores_gemma":[0.9994969,0.000017722627,0.00012930327,0.00014386994,0.0001562224,0.000056031484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013615434,0.00014579915,0.0005235602,0.00016921107,0.0000340781,0.00000999489,0.00006744429,0.00018150806,0.000040587955],"category_scores_gemma":[0.000010820993,0.0001962669,0.000040549985,0.0002548743,0.000013131895,0.0003285415,0.000017795222,0.000073493116,2.3292978e-7],"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":[0.000035158137,0.0000071508753,0.0004970309,0.0003411019,0.00023130151,0.0000014218111,0.0049297214,0.9927547,0.00010906897,0.00010983032,0.000023434879,0.00096008077],"study_design_scores_gemma":[0.00032288977,0.000018541803,0.0063696657,0.00020612807,0.0004714456,3.3971816e-7,0.011642903,0.98080075,0.000001919605,0.0000019652136,0.000009695279,0.00015374053],"about_ca_topic_score_codex":0.033381443,"about_ca_topic_score_gemma":0.12975895,"teacher_disagreement_score":0.14060861,"about_ca_system_score_codex":0.0002533351,"about_ca_system_score_gemma":0.000024019517,"threshold_uncertainty_score":0.97305536},"labels":[],"label_agreement":null},{"id":"W2565767594","doi":"10.1109/tcomm.2016.2638906","title":"Interference-Aware Energy Efficiency Maximization in 5G Ultra-Dense Networks","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council","keywords":"Scalability; Maximization; Bargaining problem; Nash equilibrium; Computer science; Mathematical optimization; Interference (communication); Spectral efficiency; Efficient energy use; Game theory; Scheme (mathematics); Distributed computing; Computer network; Mathematics; Beamforming; Telecommunications; Engineering; Mathematical economics","score_opus":0.016994730102252317,"score_gpt":0.23147196014308996,"score_spread":0.21447723004083763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565767594","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":[0.00026908272,0.00019384992,0.99575245,0.00022177864,0.0003986004,0.00018760389,0.000028414888,0.00043748884,0.0025107095],"genre_scores_gemma":[0.99466884,0.0027646548,0.0018793492,0.000028657529,0.000017829714,0.00021828266,0.000014235717,0.000050751012,0.00035738604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989479,0.000111233705,0.00041348874,0.00019344773,0.00008876,0.00024514724],"domain_scores_gemma":[0.998304,0.0002912018,0.000053859916,0.0012000997,0.00008276124,0.00006809202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009547585,0.0001856991,0.00017035304,0.00029648942,0.00016683553,0.000025430892,0.0005073469,0.00013136744,0.00006739931],"category_scores_gemma":[0.000008258255,0.00016902063,0.000059978986,0.00060077244,0.000086969885,0.0003019924,0.000002031267,0.00021108704,0.000036955305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008357559,0.00009708528,0.000014415879,0.000006365247,0.000014198118,4.9591466e-7,0.00015367825,0.9636826,0.0020021414,0.00038624048,0.00005806367,0.03357636],"study_design_scores_gemma":[0.0008562058,0.00006164855,0.00006898813,0.0003722147,0.000023923056,0.000012909065,0.00014158331,0.98427045,0.0125928,0.00025523987,0.0009056173,0.00043839228],"about_ca_topic_score_codex":0.000057844016,"about_ca_topic_score_gemma":0.0010414239,"teacher_disagreement_score":0.9943998,"about_ca_system_score_codex":0.00025882202,"about_ca_system_score_gemma":0.000021469788,"threshold_uncertainty_score":0.6892461},"labels":[],"label_agreement":null},{"id":"W2565988693","doi":"10.1109/isit.2005.1523763","title":"On the user selection for MIMO broadcast channels","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Base station; Telecommunications link; Computer science; Throughput; MIMO; Selection (genetic algorithm); Set (abstract data type); Simple (philosophy); Communications system; Computer network; Mathematical optimization; Algorithm; Mathematics; Telecommunications; Wireless; Channel (broadcasting)","score_opus":0.011440892170246901,"score_gpt":0.22227886047020215,"score_spread":0.21083796829995524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565988693","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":[0.0037123796,0.000029697581,0.98848057,0.00024445768,0.00024057204,0.00036219155,0.0000017234289,0.00031651318,0.00661192],"genre_scores_gemma":[0.98264724,0.0000070703304,0.01126334,0.0001504119,0.0003377892,0.0001161458,0.0000041579333,0.000033020093,0.00544085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999678,0.0000053407985,0.000087893,0.000073356416,0.00003831339,0.00011705671],"domain_scores_gemma":[0.9998019,0.000060553215,0.000011255629,0.00008215298,0.000027491466,0.00001664561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005429793,0.00006911671,0.000051452225,0.000028895802,0.000050358467,0.000017349166,0.00004353846,0.000035165212,0.00009782218],"category_scores_gemma":[0.000016184084,0.000049279795,0.000022990196,0.00008172039,0.000003776102,0.00010603436,0.0000031168797,0.000041395826,0.00008145348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029623084,0.00000446585,0.0000046567006,0.0000066779226,0.0000068505046,1.2272375e-8,0.000056201872,0.97887343,0.0010681478,0.005845646,0.012005463,0.0021254802],"study_design_scores_gemma":[0.00016781266,0.000023885033,0.000004387452,0.000010034769,0.0000033266217,0.000002001678,0.000028761191,0.9237548,0.024630483,0.00017785704,0.051105198,0.000091471826],"about_ca_topic_score_codex":0.000002494505,"about_ca_topic_score_gemma":0.000015141551,"teacher_disagreement_score":0.9789348,"about_ca_system_score_codex":0.00005530881,"about_ca_system_score_gemma":0.0000021777807,"threshold_uncertainty_score":0.20095718},"labels":[],"label_agreement":null},{"id":"W2566393555","doi":"10.1109/pimrc.2016.7794811","title":"Almost blank subframes versus partially shared deployment in heterogeneous networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Blank; Software deployment; Computer science; Heterogeneous network; Resource allocation; Focus (optics); Computer network; Resource (disambiguation); Distributed computing; Wireless; Telecommunications; Wireless network; Engineering","score_opus":0.013227831455830062,"score_gpt":0.22374337049915574,"score_spread":0.21051553904332568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566393555","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":[0.02934788,0.0004707241,0.96559274,0.00007026677,0.00095368625,0.00033814908,0.000006475985,0.0007305824,0.0024894655],"genre_scores_gemma":[0.9970668,0.00012372763,0.002408089,0.000015956566,0.00008964454,0.000050733644,0.0000072063285,0.000045531644,0.00019229604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992358,0.000015843916,0.00023189049,0.00016200203,0.00007264295,0.0002817879],"domain_scores_gemma":[0.9996244,0.000068028574,0.000021118192,0.00020486368,0.000019032666,0.000062559506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049764723,0.00013388933,0.00013537395,0.000049318853,0.000015506099,0.000017704913,0.00009494959,0.0000808862,0.00017304502],"category_scores_gemma":[0.00002039032,0.00010274543,0.00002826897,0.00010401325,0.000011223062,0.00014793227,0.000024095856,0.00004472754,0.00007273521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003411824,0.0000081593325,0.0007222125,0.0000063858606,0.000018558681,0.000013034799,0.00003310781,0.9927578,0.0008351553,0.000069758105,0.0003477331,0.005154],"study_design_scores_gemma":[0.0037562589,0.00011476831,0.000501916,0.00016239272,0.000014628964,0.000012872255,0.000037003592,0.9779144,0.012706728,0.000060310136,0.004098268,0.0006204898],"about_ca_topic_score_codex":0.000014832874,"about_ca_topic_score_gemma":0.00044206003,"teacher_disagreement_score":0.96771896,"about_ca_system_score_codex":0.00016584853,"about_ca_system_score_gemma":0.000006369198,"threshold_uncertainty_score":0.4189837},"labels":[],"label_agreement":null},{"id":"W2566472168","doi":"10.1109/twc.2016.2645210","title":"Power Control for D2D Underlay Cellular Networks With Channel Uncertainty","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Underlay; Computer science; Power control; Cellular network; Channel state information; Scheduling (production processes); Base station; Channel (broadcasting); Computer network; Wireless network; Interference (communication); Spectral efficiency; Wireless; Distributed computing; Telecommunications; Power (physics); Signal-to-noise ratio (imaging); Mathematical optimization; Mathematics","score_opus":0.013471485010432467,"score_gpt":0.2248394346560403,"score_spread":0.21136794964560784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566472168","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":[0.0006141616,0.00017059204,0.99644417,0.00057173043,0.00029777366,0.000843419,0.00014497727,0.00055376295,0.0003594182],"genre_scores_gemma":[0.9939757,0.00033187255,0.0045822226,0.000055116867,0.000028140355,0.0006397608,0.000016226988,0.000097064665,0.00027389877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990077,0.00006761197,0.00030742426,0.00020664094,0.000101453224,0.00030917267],"domain_scores_gemma":[0.9977704,0.0005471244,0.00006933504,0.0013530368,0.00016263539,0.00009746452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115794704,0.0002319645,0.00024405238,0.00012580451,0.00035872636,0.000027312686,0.00045874895,0.00013345091,0.00002429044],"category_scores_gemma":[0.0000024730628,0.00018148219,0.000096037824,0.00025391474,0.00013237493,0.00022842361,0.0000016636086,0.0001954475,0.000017856424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044266762,0.00007927519,0.0000020279542,0.00001325133,0.00011423246,2.6131815e-7,0.00014787503,0.9926751,0.002425532,0.0004121953,0.0000837527,0.0040021897],"study_design_scores_gemma":[0.0022621062,0.0001348107,0.0000046442856,0.00020298106,0.00007340845,0.0000052324135,0.0001888815,0.9914405,0.0039310935,0.00011734066,0.0012295361,0.00040947113],"about_ca_topic_score_codex":0.000009540218,"about_ca_topic_score_gemma":0.00018592401,"teacher_disagreement_score":0.99336153,"about_ca_system_score_codex":0.00019627715,"about_ca_system_score_gemma":0.000027043929,"threshold_uncertainty_score":0.7400629},"labels":[],"label_agreement":null},{"id":"W2567045097","doi":"10.1109/camad.2016.7790330","title":"Least square optimization of pilot sequence length for massive MIMO systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Telecommunications link; MIMO; Orthogonality; Base station; Spectral efficiency; Computer science; Channel (broadcasting); Constraint (computer-aided design); Pilot signal; Algorithm; Control theory (sociology); Engineering; Mathematics; Computer network","score_opus":0.025160399949683925,"score_gpt":0.23897306237404078,"score_spread":0.21381266242435687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567045097","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":[0.00038207756,0.00012696515,0.9964166,0.000040173985,0.0004461313,0.00067586993,0.00007719068,0.0003028905,0.0015320481],"genre_scores_gemma":[0.9425162,0.000055530072,0.05636861,0.0000035825285,0.00008032579,0.00013927753,0.000019613186,0.000053064712,0.0007638154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992157,0.000017812637,0.00033338147,0.00015837657,0.00009236257,0.00018233803],"domain_scores_gemma":[0.9993457,0.00009874709,0.00008811737,0.0002129478,0.00020816227,0.000046305653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000088058114,0.00013483215,0.0001940146,0.00008233197,0.00002859953,0.000012033772,0.000099167555,0.00005891632,0.000037914815],"category_scores_gemma":[0.000066721674,0.00010061525,0.0000339502,0.00012324647,0.000024567733,0.00032363046,0.000010824236,0.000024185074,0.000012751485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011868867,0.000008596551,0.000033746826,0.00023222536,0.000018097,2.7808852e-7,0.000031927335,0.97542745,0.018903546,0.0044224593,0.00023340393,0.0006764289],"study_design_scores_gemma":[0.0006114014,0.00014015623,0.0000055282485,0.0002942878,0.000013970399,0.00000427141,0.00016942038,0.98545,0.012779943,0.00006779046,0.00025029166,0.00021293975],"about_ca_topic_score_codex":0.000011449035,"about_ca_topic_score_gemma":0.00000482616,"teacher_disagreement_score":0.9421341,"about_ca_system_score_codex":0.00011994422,"about_ca_system_score_gemma":0.000014972641,"threshold_uncertainty_score":0.41029707},"labels":[],"label_agreement":null},{"id":"W2567213782","doi":"10.1155/2016/7172515","title":"Power Allocation Scheme for Femto-to-Macro Downlink Interference Reduction for Smart Devices in Ambient Intelligence","year":2016,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Research Foundation of Korea; Government of Jiangsu Province; National Research Foundation","keywords":"Femtocell; Macrocell; Femto-; Computer science; Throughput; Interference (communication); Telecommunications link; Reduction (mathematics); Computer network; Macro; LTE Advanced; Wireless; Telecommunications; Channel (broadcasting); Base station","score_opus":0.012428804669488064,"score_gpt":0.2512498827218579,"score_spread":0.23882107805236982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567213782","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":[0.023037327,0.0000786203,0.9709153,0.000050479583,0.0016350676,0.0036812946,0.000070834285,0.00025840165,0.0002726726],"genre_scores_gemma":[0.987765,0.00001903956,0.0065454426,0.00002015654,0.00008170287,0.0053656125,0.00008585844,0.000025892712,0.000091299684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841994,0.000019824598,0.00096309866,0.00017535794,0.0001367652,0.00028503427],"domain_scores_gemma":[0.9989537,0.00010089925,0.00019516704,0.00026861814,0.00040579462,0.00007583852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046683216,0.00019227002,0.00023009749,0.00034930444,0.00005939212,0.00010224586,0.00017818062,0.00012508058,0.0000076183246],"category_scores_gemma":[0.00011657345,0.00016337213,0.000050254825,0.00030740362,0.000015845188,0.0018567109,0.000021731837,0.000052917956,0.00012310935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012494667,0.000030037472,0.00025797152,0.0010697369,0.000035758796,9.1717496e-8,0.0045042923,0.9229127,0.026459742,0.003262805,0.0011029819,0.040238902],"study_design_scores_gemma":[0.0016778931,0.000614664,0.00026106316,0.0027142996,0.000018146184,0.00003122238,0.00844832,0.7566192,0.09331131,0.00027524377,0.13475348,0.0012751417],"about_ca_topic_score_codex":0.000017850447,"about_ca_topic_score_gemma":0.00001525681,"teacher_disagreement_score":0.96472764,"about_ca_system_score_codex":0.00046143358,"about_ca_system_score_gemma":0.000025560736,"threshold_uncertainty_score":0.6662122},"labels":[],"label_agreement":null},{"id":"W2568519016","doi":"10.1109/mwc.2016.1600059wc","title":"Beyond Coexistence: Traffic Steering in LTE Networks with Unlicensed Bands","year":2016,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Provisioning; Leverage (statistics); Traffic generation model; Traffic shaping; Telecommunications; Network traffic control","score_opus":0.01461522555716896,"score_gpt":0.2342753281217362,"score_spread":0.21966010256456725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568519016","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":[0.28956494,0.0010988247,0.7015151,0.00030056498,0.00032886674,0.0006275923,0.000021907706,0.0009184263,0.005623828],"genre_scores_gemma":[0.99169713,0.0008718826,0.0069992524,0.000016054764,0.000036681042,0.0001611922,0.000016260206,0.00006403189,0.00013750127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990678,0.000061568644,0.00033103724,0.00016310657,0.000096194846,0.0002803127],"domain_scores_gemma":[0.99829704,0.00022036281,0.00006411578,0.0012816361,0.00006809943,0.000068727466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012813647,0.00017463048,0.00021538606,0.0001291602,0.00010790032,0.000026827567,0.00056264433,0.000096957,0.0000072671755],"category_scores_gemma":[0.000008028821,0.000142106,0.000028392598,0.00047062864,0.00011427519,0.00029250263,0.000042228905,0.00019873683,0.000014587663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008046864,0.000027903277,0.00039568997,0.000017298036,0.000019732048,0.0000017108948,0.0003761646,0.9869215,0.0028299482,0.0005317755,0.000051644038,0.0088185705],"study_design_scores_gemma":[0.0011920014,0.00002997707,0.00087183865,0.00050141674,0.000014943752,0.000014348734,0.00022523421,0.9953509,0.0005883506,0.000020086962,0.0007977039,0.0003932274],"about_ca_topic_score_codex":0.0000088512115,"about_ca_topic_score_gemma":0.0005645685,"teacher_disagreement_score":0.7021322,"about_ca_system_score_codex":0.0001757419,"about_ca_system_score_gemma":0.000020411171,"threshold_uncertainty_score":0.5794915},"labels":[],"label_agreement":null},{"id":"W2568894911","doi":"10.1109/access.2017.2649098","title":"Downlink Power Optimization for Heterogeneous Networks With Time Reversal-Based Transmission Under Backhaul Limitation","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Macrocell; Computer science; Telecommunications link; Backhaul (telecommunications); Femtocell; Beamforming; Base station; Heterogeneous network; Mathematical optimization; Computer network; Fading; Channel (broadcasting); Wireless network; Wireless; Telecommunications; Mathematics","score_opus":0.01723600416892271,"score_gpt":0.26216595396385983,"score_spread":0.24492994979493712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568894911","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":[0.003318393,0.00011249956,0.9947619,0.00009119459,0.00033390292,0.0007438448,0.000011774282,0.00029382922,0.0003326956],"genre_scores_gemma":[0.93450433,0.000042516298,0.06472744,0.00008067527,0.00013383332,0.00010999266,0.00016012938,0.00011212878,0.00012894826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999097,0.000019723419,0.00024261586,0.0002613872,0.00012425131,0.0002550116],"domain_scores_gemma":[0.9990823,0.000068901354,0.00015104427,0.00045715514,0.00015727464,0.000083302184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000978211,0.00021355439,0.00020298682,0.00007694585,0.00027111088,0.0002694999,0.0003348962,0.00016048337,0.00004816062],"category_scores_gemma":[0.000015404217,0.00019815525,0.00005623204,0.00008327407,0.000033024087,0.00091206096,0.000009673681,0.00009042919,0.000009883346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000694446,0.000014565289,0.000048377187,0.000057177123,0.00002886619,0.000002125825,0.000024355231,0.9975665,0.0005091073,0.000004156964,0.0004617512,0.0012135339],"study_design_scores_gemma":[0.0010792541,0.000063195555,0.00007282318,0.00012904208,0.000036850222,0.0000035074033,0.000003447676,0.99416107,0.0038830275,0.00002378027,0.00027140632,0.00027261957],"about_ca_topic_score_codex":0.0000052813284,"about_ca_topic_score_gemma":0.0000064837814,"teacher_disagreement_score":0.93118596,"about_ca_system_score_codex":0.00009254471,"about_ca_system_score_gemma":0.00002201282,"threshold_uncertainty_score":0.8080537},"labels":[],"label_agreement":null},{"id":"W2573346067","doi":"","title":"Device-to-device communications for 5G Radio Access Networks","year":2015,"lang":"en","type":"article","venue":"Aaltodoc (Aalto University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Telecommunications; Computer science; Computer network","score_opus":0.06202735579357387,"score_gpt":0.27785982527800146,"score_spread":0.21583246948442758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573346067","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":[0.0013130574,0.00044340017,0.9534805,0.00029329193,0.00050328387,0.000911599,0.000020209756,0.00066838827,0.04236631],"genre_scores_gemma":[0.9545004,0.0002842762,0.04004566,0.00021809769,0.0002616364,0.00002299509,0.00014630736,0.000114991715,0.004405651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99913406,0.000050578,0.00018681095,0.00021594505,0.000088638146,0.0003239933],"domain_scores_gemma":[0.9985264,0.00014001525,0.00006176211,0.0007331274,0.00024927867,0.00028944554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014746739,0.00017725538,0.00021800437,0.00028519914,0.00016301154,0.000055704542,0.0009786601,0.00011144232,0.000009450618],"category_scores_gemma":[0.00005516588,0.00022682997,0.000059196063,0.000900762,0.000035752673,0.0007116795,0.00013780806,0.00014763603,0.00006553327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027030641,0.000018729612,0.00033077158,0.00004439786,0.00004585338,0.0000041383105,0.00028126975,0.98625624,0.000048408954,0.0034812454,0.008041462,0.0014204717],"study_design_scores_gemma":[0.00124747,0.000052112067,0.0001070616,0.00007899819,0.0000674544,0.0000061802375,0.000517332,0.36626962,0.0002460463,0.000105034705,0.630834,0.00046869376],"about_ca_topic_score_codex":0.00007236837,"about_ca_topic_score_gemma":0.00029284984,"teacher_disagreement_score":0.95318735,"about_ca_system_score_codex":0.0003997976,"about_ca_system_score_gemma":0.000056004068,"threshold_uncertainty_score":0.92498577},"labels":[],"label_agreement":null},{"id":"W2573870150","doi":"10.1017/9781316529669.013","title":"Coordinated Scheduling in C-RANs","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scheduling (production processes); Base station; Computer science; Wireless; Computer network; Wireless network; Distributed computing; Telecommunications; Engineering; Operations management","score_opus":0.012176051268176512,"score_gpt":0.17940944053153057,"score_spread":0.16723338926335407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573870150","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000055826975,0.0001837973,0.09400761,0.0000027842327,0.00028838962,0.00034148298,0.000121136196,0.00043625664,0.9045627],"genre_scores_gemma":[0.009996024,0.00012660104,0.00058510975,0.0000052940163,0.00008042366,0.0000010333181,0.000028283526,0.00010929028,0.9890679],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909365,0.000014483185,0.00021077266,0.00031498494,0.00009951153,0.00026659423],"domain_scores_gemma":[0.99935514,0.00004090974,0.000080814316,0.0003493058,0.0000807017,0.00009314312],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005342414,0.00032893996,0.00036521308,0.00029324426,0.00004802639,0.000014833441,0.0002605978,0.00039728003,0.0000042284896],"category_scores_gemma":[0.0000061991173,0.0003912417,0.000090570706,0.000011590282,0.00006761891,0.00013105597,0.00008249806,0.0003397413,0.000024898345],"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":[0.000050873205,0.0000046237296,0.0000050297667,0.00033884932,0.00015322224,0.00041328362,0.00007456765,0.05055649,0.0009921442,0.94286054,0.002308015,0.0022423891],"study_design_scores_gemma":[0.0027753063,0.00003666222,0.000007300028,0.0025355879,0.00015464179,0.00002609663,0.00005000682,0.029001717,0.0019994115,0.000029931914,0.9616013,0.0017820398],"about_ca_topic_score_codex":0.000016347161,"about_ca_topic_score_gemma":0.0000041004373,"teacher_disagreement_score":0.9592933,"about_ca_system_score_codex":0.00047110312,"about_ca_system_score_gemma":0.00002929397,"threshold_uncertainty_score":0.99985397},"labels":[],"label_agreement":null},{"id":"W2573989946","doi":"10.1017/9781316529669.016","title":"Toward Green Deployment and Operation for C-RANs","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Cellular network; Software deployment; Computer science; Computer network; Base station; Mobile broadband; Radio access network; Telecommunications; Wireless; Mobile station; Operating system","score_opus":0.02124623564941075,"score_gpt":0.18881535608631378,"score_spread":0.16756912043690303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573989946","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009772414,0.00020856292,0.36160195,0.000008716468,0.00017551635,0.0006844213,0.0003040205,0.00023741493,0.6367696],"genre_scores_gemma":[0.0015954854,0.00023588967,0.0011903858,0.000010744078,0.00014330997,0.0000046838704,0.000049101283,0.000087893204,0.9966825],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993618,0.000006797089,0.00013565026,0.00026100548,0.00007663603,0.00015807478],"domain_scores_gemma":[0.9995459,0.000032135114,0.00005434833,0.0002070807,0.000076385506,0.00008415736],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000356694,0.00024422028,0.00023996111,0.00007669223,0.000074925214,0.000019339901,0.00012227701,0.00022377663,0.0000013031492],"category_scores_gemma":[0.000002199506,0.00026741604,0.00006604408,0.0000022578215,0.000046884452,0.000119689816,0.000056851586,0.000095037234,0.0000035445644],"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":[0.00006937617,0.0000027520036,9.4015303e-7,0.000660089,0.00023685161,0.000030246232,0.0001429332,0.0024038593,0.0008933711,0.97952825,0.00674299,0.009288338],"study_design_scores_gemma":[0.001160676,0.000049436578,0.0000012822006,0.00028939857,0.0001664316,0.000010917684,0.000017306249,0.007168973,0.0013020328,0.000021086873,0.9892582,0.0005542368],"about_ca_topic_score_codex":0.0000126507375,"about_ca_topic_score_gemma":0.0000028740583,"teacher_disagreement_score":0.9825152,"about_ca_system_score_codex":0.00020527194,"about_ca_system_score_gemma":0.00001691849,"threshold_uncertainty_score":0.9999778},"labels":[],"label_agreement":null},{"id":"W2575601890","doi":"10.1017/9781316529669.011","title":"Adaptive Compression in C-RANs","year":2016,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Baseband; Block Error Rate; Radio access network; Real-time computing; Fading; Link adaptation; Computer network; Algorithm; Decoding methods; Bandwidth (computing); Base station; Telecommunications link","score_opus":0.015780454085043537,"score_gpt":0.1796370061041017,"score_spread":0.16385655201905816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2575601890","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010063525,0.0002844006,0.07617539,0.0000015521492,0.00028791316,0.00040971648,0.0002178525,0.00032991098,0.9222832],"genre_scores_gemma":[0.0058772843,0.00017649448,0.00043036937,0.00000533693,0.000090370195,0.0000013464924,0.000023340708,0.000096963326,0.9932985],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990799,0.000020306341,0.00020024076,0.00032330648,0.00013166202,0.00024461962],"domain_scores_gemma":[0.99933004,0.00005152999,0.00008340277,0.00036964496,0.0000680262,0.00009735961],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003887056,0.00034239498,0.0003758896,0.00024839406,0.000049788752,0.000010395191,0.00026855848,0.0003801477,0.000004849199],"category_scores_gemma":[0.0000026393009,0.00037735258,0.000094942065,0.000007983735,0.00008052979,0.0001363031,0.00010897382,0.00032956898,0.000024401448],"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":[0.00012127176,0.0000067972865,0.000002948313,0.00019534577,0.00010598065,0.00037277667,0.00012595703,0.013962775,0.0005704875,0.9689504,0.010073266,0.005512012],"study_design_scores_gemma":[0.0017014006,0.00004151433,0.000010206604,0.0021003003,0.00008067628,0.000012762497,0.00004042945,0.011218621,0.0009594245,0.00002826911,0.9827448,0.001061576],"about_ca_topic_score_codex":0.000017768592,"about_ca_topic_score_gemma":0.0000048745396,"teacher_disagreement_score":0.97267157,"about_ca_system_score_codex":0.00045285758,"about_ca_system_score_gemma":0.000024389572,"threshold_uncertainty_score":0.99986786},"labels":[],"label_agreement":null},{"id":"W2575957785","doi":"10.1002/ett.3081","title":"Joint location and power optimisation of femto base stations to improve indoor coverage: a geometric approach","year":2016,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heritage College","funders":"","keywords":"Software deployment; Femto-; Femtocell; Computer science; Base station; Transmission (telecommunications); Interference (communication); Particle swarm optimization; Power (physics); Channel (broadcasting); Telecommunications; Simulation; Computer network; Algorithm","score_opus":0.01455855591508205,"score_gpt":0.23466809964955737,"score_spread":0.22010954373447533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2575957785","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":[0.014973464,0.0002701899,0.9809466,0.0010635934,0.000074907766,0.000709007,0.000063442254,0.0014550212,0.00044375687],"genre_scores_gemma":[0.8303698,0.00092995923,0.16808823,0.000008212055,0.0000025788809,0.0004737224,0.000012738685,0.000039367853,0.00007543064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988225,0.00004193561,0.0005017269,0.0002661549,0.00014067141,0.00022702292],"domain_scores_gemma":[0.99831265,0.00019826725,0.00012145112,0.0010906978,0.00023037556,0.000046562935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019709536,0.00020937863,0.00023587412,0.0013590711,0.00022145672,0.00002892524,0.0003234515,0.00015123366,0.000017079694],"category_scores_gemma":[0.00022139685,0.00018915499,0.000047225472,0.0015790309,0.00011584445,0.00039675052,0.00002268638,0.00021388997,0.000014335019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017917338,0.00022274246,0.00005108502,0.00011513612,0.00010279282,1.5668451e-7,0.0006582031,0.68250805,0.04122059,0.0021332547,0.00010889437,0.2728612],"study_design_scores_gemma":[0.0058176,0.001412382,0.0043429877,0.0013140175,0.00038502863,0.000049400485,0.016198056,0.24804819,0.71016145,0.004943823,0.004017587,0.003309469],"about_ca_topic_score_codex":0.000016871581,"about_ca_topic_score_gemma":0.000011283334,"teacher_disagreement_score":0.8153963,"about_ca_system_score_codex":0.000224387,"about_ca_system_score_gemma":0.000029106248,"threshold_uncertainty_score":0.7713517},"labels":[],"label_agreement":null},{"id":"W2576298491","doi":"10.1109/latincom.2016.7811561","title":"Heterogeneous cellular network user distribution model","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Femtocell; Telecommunications link; Macro; Heterogeneous network; Base station; Femto-; Computer network; Cellular network; Distributed computing; Coverage probability; User equipment; Interference (communication); Wireless network; Wireless; Telecommunications; Mathematics; Statistics","score_opus":0.00705705683574425,"score_gpt":0.18476132851991164,"score_spread":0.1777042716841674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576298491","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":[0.005658513,0.00010147499,0.9923475,0.000016003965,0.00017914473,0.00009437717,0.000013463795,0.0004800445,0.0011094798],"genre_scores_gemma":[0.98916596,0.000031461495,0.009170493,0.000010065339,0.0001096481,0.0000146073035,0.000023840594,0.000027577767,0.0014463211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953413,0.000006123528,0.00012639431,0.00009746481,0.000049866005,0.00018604952],"domain_scores_gemma":[0.9997456,0.000012113268,0.000012955611,0.0001639015,0.000022732285,0.00004266093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003407972,0.000085802574,0.00007580398,0.000008924333,0.000025823516,0.000007975665,0.000052251027,0.000053042066,0.00004415987],"category_scores_gemma":[0.000005291174,0.00006146967,0.00002600066,0.000057370045,0.000007804079,0.00012455793,0.000012491613,0.0000220119,0.0000953561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012568842,0.0000018405905,0.00004487068,0.0000048645434,0.0000061561605,9.296908e-7,0.0000036653591,0.98938286,0.006415034,0.0011516731,0.0021223584,0.00086450495],"study_design_scores_gemma":[0.00015289712,0.0000050086487,0.000003552539,0.00001775826,0.000004088502,0.0000025186328,9.2946493e-7,0.97645354,0.020033322,0.0005658463,0.0026337043,0.00012680353],"about_ca_topic_score_codex":8.684063e-7,"about_ca_topic_score_gemma":0.0000033967337,"teacher_disagreement_score":0.98350745,"about_ca_system_score_codex":0.00008098493,"about_ca_system_score_gemma":0.0000030721083,"threshold_uncertainty_score":0.25066605},"labels":[],"label_agreement":null},{"id":"W2576325362","doi":"10.5555/3375069.3375094","title":"Self-Optimizing Energy Management in Heterogeneous Cellular Networks","year":2016,"lang":"en","type":"article","venue":"Conference on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Base station; Energy consumption; Throughput; Distributed computing; Mathematical optimization; Optimization problem; Cellular network; Power control; Computer network; Power (physics); Algorithm; Wireless; Engineering; Mathematics","score_opus":0.009135516848284097,"score_gpt":0.1868406911089719,"score_spread":0.1777051742606878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576325362","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":[0.0014879309,0.00075286755,0.9374886,0.00022517708,0.00052188145,0.0005058375,0.0000012720269,0.000490932,0.05852548],"genre_scores_gemma":[0.9726573,0.013383891,0.012736139,0.0004532106,0.00014905223,0.00017285053,0.000011826205,0.00006295421,0.00037277598],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986374,0.000042489548,0.000316655,0.00038108177,0.00012727111,0.00049513223],"domain_scores_gemma":[0.9994381,0.000024667304,0.000050277173,0.00036546373,0.000027809236,0.00009367412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012653036,0.00027886772,0.00023156662,0.00012388239,0.00006680437,0.000057487014,0.00020765215,0.00008447875,0.000032761138],"category_scores_gemma":[3.5399486e-7,0.00023992229,0.000028176464,0.00030403587,0.000011575052,0.00011403075,0.00014653265,0.00007099321,0.0000187511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015946489,0.000020662445,0.000037611462,0.00016929982,0.00009894679,0.00007286235,0.000055576136,0.90915936,0.000012172334,0.022315484,0.00015858837,0.06788349],"study_design_scores_gemma":[0.0009769733,0.000037209018,0.00007793004,0.00050884334,0.00004241231,0.000002734796,0.000089164634,0.9827925,0.000048001988,0.000902941,0.014070671,0.00045064697],"about_ca_topic_score_codex":0.0000055782934,"about_ca_topic_score_gemma":0.00007661412,"teacher_disagreement_score":0.97116935,"about_ca_system_score_codex":0.00011064827,"about_ca_system_score_gemma":0.0000025150073,"threshold_uncertainty_score":0.9783747},"labels":[],"label_agreement":null},{"id":"W2576374025","doi":"","title":"Angle-of-Departure-Aided Opportunistic Space-Division Multiple Access","year":2009,"lang":"en","type":"article","venue":"Lund University Publications (Lund University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Division (mathematics); Selection (genetic algorithm); Transmission (telecommunications); Base station; Throughput; Computer science; Channel (broadcasting); Broadcasting (networking); Space-division multiple access; Algorithm; Set (abstract data type); Selection algorithm; MIMO; Space (punctuation); Computer network; Mathematics; Telecommunications; Wireless; Artificial intelligence; Arithmetic","score_opus":0.020171165919016822,"score_gpt":0.2135701227794436,"score_spread":0.19339895686042677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576374025","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003272385,0.00002908496,0.4583666,0.00039135964,0.00014380542,0.0003527289,0.00010498613,0.00065335096,0.5366857],"genre_scores_gemma":[0.7252074,0.00031681292,0.0139295645,0.000051241797,0.00008185159,5.9076933e-7,0.00068052165,0.00006189163,0.25967014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99893034,0.000061203296,0.00019060734,0.00034066418,0.00016638299,0.00031081378],"domain_scores_gemma":[0.9985872,0.000116176205,0.0001537441,0.00058488024,0.00031920886,0.0002387707],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007930832,0.00022124837,0.00026487434,0.0011151079,0.00034846106,0.00006267618,0.0007361699,0.00017570482,0.000082336956],"category_scores_gemma":[0.00007035597,0.00029916878,0.00011402027,0.002064271,0.00008959562,0.0018621201,0.0001172918,0.00018810037,0.00001758891],"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":[0.000050533312,0.00022136777,0.0019530904,0.000070851835,0.000112108915,0.000039496703,0.00031935427,0.10505108,0.0017830752,0.88279784,0.0056331465,0.00196809],"study_design_scores_gemma":[0.0010961125,0.000057703262,0.0021057273,0.000044386474,0.000097442266,0.0000056648014,0.0006863271,0.04859655,0.00024296349,0.00022428835,0.94643176,0.00041109516],"about_ca_topic_score_codex":0.000051343115,"about_ca_topic_score_gemma":0.00012639561,"teacher_disagreement_score":0.9407986,"about_ca_system_score_codex":0.00042829372,"about_ca_system_score_gemma":0.00009600737,"threshold_uncertainty_score":0.99994606},"labels":[],"label_agreement":null},{"id":"W2577444279","doi":"","title":"Study of dominant path probability","year":2016,"lang":"en","type":"article","venue":"International Symposium on Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Specular reflection; Computer science; Channel (broadcasting); Reflection (computer programming); Path (computing); Grid; Path loss; Non-line-of-sight propagation; Ray tracing (physics); Algorithm; Telecommunications; Wireless; Computer network; Mathematics; Optics; Physics; Geometry","score_opus":0.011453752644340634,"score_gpt":0.23206699952362486,"score_spread":0.22061324687928424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2577444279","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":[0.92544353,0.00001884618,0.07135319,0.00027103254,0.00049451244,0.0005723245,0.000015751522,0.00007746834,0.0017533344],"genre_scores_gemma":[0.9994279,0.000058317193,0.00027744804,0.0000069353287,0.000052090392,0.000045700817,0.000004354618,0.000012924363,0.000114303606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99934274,0.00002498616,0.00025582357,0.00015212863,0.0001495758,0.0000747743],"domain_scores_gemma":[0.9996242,0.000039640963,0.00006947698,0.000112794936,0.00012760413,0.000026305232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013164399,0.00009096672,0.00010354914,0.00005074532,0.00002291142,0.000011896005,0.00007014225,0.00003176269,0.000012343149],"category_scores_gemma":[0.000032735992,0.00006040773,0.000017485674,0.000054490374,0.000022226957,0.00017708362,0.000015863105,0.000032331754,0.000005946699],"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":[0.00043611502,0.0010326558,0.03365727,0.00018272368,0.00020579962,0.00001983053,0.0031106833,0.020791892,0.8813771,0.012009583,0.00015022891,0.047026087],"study_design_scores_gemma":[0.026111087,0.008256391,0.11240904,0.0036563047,0.00019118382,0.00022650589,0.0031414654,0.31499174,0.50922596,0.0138093345,0.0049456116,0.0030353859],"about_ca_topic_score_codex":0.000009844929,"about_ca_topic_score_gemma":0.000012843316,"teacher_disagreement_score":0.37215117,"about_ca_system_score_codex":0.0000647135,"about_ca_system_score_gemma":0.000004151036,"threshold_uncertainty_score":0.24633557},"labels":[],"label_agreement":null},{"id":"W25787690","doi":"10.1007/978-3-319-04645-7_2","title":"Voice Capacity Analysis","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","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 Waterloo","funders":"","keywords":"Computer science; Wireless; Wireless network; Computer network; Video streaming; Service (business); Telecommunications; Video on demand; Live streaming; Multimedia; Business","score_opus":0.013387274227236075,"score_gpt":0.210491626553002,"score_spread":0.19710435232576592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W25787690","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":[0.00015476173,0.000084160536,0.8843613,0.000006753964,0.0010232854,0.00014140032,0.0000044122175,0.00027886636,0.11394501],"genre_scores_gemma":[0.5927203,0.0001841901,0.38261783,0.00021085754,0.001438358,0.00003145341,0.000021610243,0.00024750704,0.02252783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980944,0.000008866227,0.00044597892,0.00064739474,0.00040750566,0.00039585208],"domain_scores_gemma":[0.99875516,0.00005914408,0.00011836581,0.0008255681,0.00011596335,0.00012577823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005422387,0.00032713957,0.0004895305,0.0010239437,0.00007046696,0.00011468145,0.0007561851,0.00017969352,0.000059864982],"category_scores_gemma":[0.000018156723,0.00038259858,0.0001269889,0.0006624001,0.00028646956,0.0002401536,0.00020340738,0.00037401877,0.00011244714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.526501e-7,0.000002044865,0.000072293034,0.000057555226,0.000050013306,0.0000062426266,0.000099930774,0.97579753,0.000046614005,0.013953115,0.000037717196,0.009876393],"study_design_scores_gemma":[0.00009836069,0.000014530047,0.00033757556,0.00013826578,0.000059323178,0.000005277132,3.2874402e-7,0.9886739,0.00022482692,0.0009565459,0.008958858,0.00053216127],"about_ca_topic_score_codex":0.00002274183,"about_ca_topic_score_gemma":0.00011933805,"teacher_disagreement_score":0.5925656,"about_ca_system_score_codex":0.0003683926,"about_ca_system_score_gemma":0.00004299442,"threshold_uncertainty_score":0.9998626},"labels":[],"label_agreement":null},{"id":"W2578927478","doi":"10.3390/s17010134","title":"On Connectivity of Wireless Sensor Networks with Directional Antennas","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; National Key Research and Development Program of China; Fundo para o Desenvolvimento das Ciências e da Tecnologia; King Saud University; National Natural Science Foundation of China","keywords":"Computer science; Omnidirectional antenna; Directional antenna; Antenna (radio); Antenna array; Electronic engineering; Wireless sensor network; Wireless; Computer network; Telecommunications; Engineering","score_opus":0.008246314191990421,"score_gpt":0.21558595918957604,"score_spread":0.20733964499758561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578927478","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":[0.88028365,0.0000177381,0.11345985,0.000016084543,0.00036327468,0.00013851406,0.000008741508,0.0001582242,0.005553944],"genre_scores_gemma":[0.9981457,0.000015124217,0.0014703892,0.0000040188793,0.00008599481,0.000004947755,0.0000031007646,0.000033424625,0.0002373113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995068,0.000016970524,0.00011376633,0.00013080428,0.00009047979,0.00014121096],"domain_scores_gemma":[0.99940807,0.00007766118,0.00008602586,0.00032672333,0.000064428576,0.000037082056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005826877,0.000113384966,0.00017263377,0.000039661165,0.000112988324,0.000017603572,0.00007277116,0.000059298734,0.000008287592],"category_scores_gemma":[0.000043580232,0.000100764984,0.000027663194,0.0000436864,0.000063019295,0.00008671674,0.000009545463,0.00010157898,0.0000058786413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036325633,0.000011097242,0.0019433734,0.000020305244,0.000031071588,0.000006275436,0.000039727212,0.99588346,0.0011064336,0.0002987163,0.00003760524,0.0005855974],"study_design_scores_gemma":[0.0005313512,0.00006891868,0.01135416,0.00014591818,0.000012630815,0.000021277472,0.00005897448,0.9785819,0.008893941,0.00003613091,0.00007574793,0.00021906],"about_ca_topic_score_codex":0.000028273424,"about_ca_topic_score_gemma":0.000052025764,"teacher_disagreement_score":0.11786205,"about_ca_system_score_codex":0.000036852813,"about_ca_system_score_gemma":0.0000049687733,"threshold_uncertainty_score":0.4109077},"labels":[],"label_agreement":null},{"id":"W2582328874","doi":"10.1109/twc.2017.2657745","title":"Sum-Rate Analysis for Massive MIMO Downlink With Joint Statistical Beamforming and User Scheduling","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Telecommunications link; Computer science; MIMO; Scheduling (production processes); Covariance matrix; Covariance; Mathematical optimization; Algorithm; Mathematics; Telecommunications; Statistics","score_opus":0.028838995674393516,"score_gpt":0.27420169452044474,"score_spread":0.24536269884605122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2582328874","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":[0.012404814,0.00006237569,0.98602116,0.00031300422,0.00009085936,0.00047599841,0.00027417135,0.00018952783,0.00016807014],"genre_scores_gemma":[0.7904165,0.00032983278,0.20876004,0.000012137816,0.000012068159,0.00030827266,0.000048665803,0.000042449905,0.00007004213],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990863,0.00004406624,0.0003261586,0.00022334779,0.0000888195,0.0002312995],"domain_scores_gemma":[0.99767286,0.0003154806,0.00013175319,0.0016214283,0.00015252219,0.000105970335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016081848,0.00020119474,0.000316964,0.00023127698,0.0012818584,0.0001650831,0.00039525027,0.0000952648,0.0000095199275],"category_scores_gemma":[0.000015198408,0.00019905374,0.0000786421,0.0001928826,0.00020605321,0.0004264435,0.000006078176,0.0002812917,0.0000050628905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019700723,0.000049813665,0.00012940072,0.000051690302,0.0004966568,5.8709406e-7,0.0002301444,0.9919854,0.0014030222,0.001189546,0.0000059626327,0.0044381097],"study_design_scores_gemma":[0.0006476667,0.000047246227,0.00068089855,0.00009886341,0.0005423039,0.000003121666,0.00025991778,0.9936308,0.0035252138,0.00007702445,0.00018732915,0.00029958904],"about_ca_topic_score_codex":0.00008184675,"about_ca_topic_score_gemma":0.0014923658,"teacher_disagreement_score":0.7780117,"about_ca_system_score_codex":0.00009383943,"about_ca_system_score_gemma":0.000026686173,"threshold_uncertainty_score":0.9859148},"labels":[],"label_agreement":null},{"id":"W2583142076","doi":"10.1109/glocom.2016.7842159","title":"Power-Aware Wireless Virtualized Resource Allocation with D2D Communication Underlaying LTE Network","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"EnodeB; Computer science; Computer network; Virtualization; Wireless; Resource allocation; Cellular network; Distributed computing; Wireless network; User equipment; Telecommunications; Cloud computing; Base station; Operating system","score_opus":0.007683989958089739,"score_gpt":0.20778914084981803,"score_spread":0.20010515089172828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583142076","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":[0.008999761,0.00016760855,0.9769612,0.00021933891,0.00006475649,0.00028716098,0.0000019311185,0.0008609109,0.01243734],"genre_scores_gemma":[0.98892087,0.00008888795,0.00978869,0.000056034653,0.00004277416,0.000049390666,0.00002614801,0.0000721771,0.00095500675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912745,0.00006926923,0.00026211728,0.0001736515,0.00013037676,0.0002371186],"domain_scores_gemma":[0.9990747,0.00014725637,0.00007577869,0.0005612502,0.00008069999,0.000060329876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017077474,0.00016285121,0.0001670358,0.00005254212,0.00011363668,0.00003108104,0.00018484479,0.00008594725,0.00006252841],"category_scores_gemma":[0.000009654797,0.000117010626,0.00002314172,0.00024614687,0.00003703875,0.00035923172,0.000033411794,0.000076753015,0.000042744934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062431434,0.000019787007,0.00079128036,0.000048932,0.00008813771,0.0000014780967,0.0005446941,0.96191233,0.006665906,0.012537078,0.0032843475,0.014043616],"study_design_scores_gemma":[0.0085220365,0.0003565031,0.0011795942,0.0035231085,0.00011645163,0.000072900504,0.0037788555,0.91129166,0.017335122,0.0019801669,0.048852585,0.002990997],"about_ca_topic_score_codex":0.000009487137,"about_ca_topic_score_gemma":0.00005541591,"teacher_disagreement_score":0.9799211,"about_ca_system_score_codex":0.00016356725,"about_ca_system_score_gemma":0.000012760091,"threshold_uncertainty_score":0.47715548},"labels":[],"label_agreement":null},{"id":"W2583277673","doi":"10.1109/glocom.2016.7842133","title":"Performance Analysis of Semi-Centralized Controlled Uplink Cooperative Transmission","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Telecommunications link; Relay; Computer science; Computer network; User equipment; Stochastic geometry; Transmission (telecommunications); Fading; Linear network coding; Cellular network; Node (physics); Interference (communication); Outage probability; Base station; Power (physics); Telecommunications; Engineering; Channel (broadcasting); Mathematics; Network packet","score_opus":0.006389175752366369,"score_gpt":0.215971187637024,"score_spread":0.20958201188465764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583277673","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":[0.08967227,0.00010466252,0.90649205,0.000022776683,0.000050983846,0.0002450383,0.0000048389375,0.00015030852,0.0032570737],"genre_scores_gemma":[0.99457055,0.00038346174,0.003993026,0.000005573146,0.000009502046,0.000021112914,0.0000076648275,0.000014790697,0.0009943255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932593,0.000019372932,0.00033278987,0.00010791332,0.000076616685,0.00013739997],"domain_scores_gemma":[0.9996012,0.00007588886,0.000043173433,0.00014132619,0.00009001911,0.000048406597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008448594,0.000109755325,0.00042805885,0.0001525239,0.000021163572,0.000004127276,0.00006301493,0.00005391198,0.00045542695],"category_scores_gemma":[0.00001508885,0.00006413806,0.000101517406,0.00044049692,0.000017740515,0.00016951653,0.000003927401,0.000026909089,0.000008881868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011385094,0.000013754179,0.0008400653,0.000023099574,0.0006373449,2.6686263e-7,0.0001555287,0.8650436,0.12731546,0.00014534856,0.00005407509,0.0056576524],"study_design_scores_gemma":[0.0036312675,0.000021777198,0.00023119987,0.00004611409,0.00025002327,2.656416e-7,0.000014995081,0.9406162,0.054934636,0.0000024017663,0.0001412531,0.00010986722],"about_ca_topic_score_codex":0.0000027282915,"about_ca_topic_score_gemma":0.0000026214727,"teacher_disagreement_score":0.9048983,"about_ca_system_score_codex":0.00004358692,"about_ca_system_score_gemma":0.000008405204,"threshold_uncertainty_score":0.49866056},"labels":[],"label_agreement":null},{"id":"W2583373694","doi":"10.1109/glocom.2016.7841943","title":"Joint User Association and Scheduling for Load Balancing in Heterogeneous Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Load balancing (electrical power); Scheduling (production processes); Telecommunications link; Distributed computing; Load management; Mathematical optimization; Convex optimization; Maximization; Wireless network; Wireless; Regular polygon; Computer network; Mathematics; Engineering","score_opus":0.0073654937602276715,"score_gpt":0.20233179127442824,"score_spread":0.19496629751420058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583373694","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":[0.0608854,0.00021624762,0.9382084,0.0000341344,0.00017416026,0.00018656914,0.0000013079149,0.00012930899,0.00016446608],"genre_scores_gemma":[0.9777759,0.00006831913,0.021758795,0.000017214585,0.0000759144,0.000031165277,0.0000013234345,0.000022627833,0.00024877812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995206,0.000007376294,0.00016395909,0.000097863594,0.000044564717,0.00016564256],"domain_scores_gemma":[0.99977136,0.00007742634,0.00002973219,0.000060238734,0.00003667275,0.00002455294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016427824,0.00006879286,0.00010297106,0.000032253352,0.00001663869,0.000013627337,0.000018911309,0.00007305092,0.0000056613076],"category_scores_gemma":[0.000089229216,0.000055299755,0.000015477308,0.00004602129,0.0000022895217,0.00013586548,0.000008645412,0.00002935408,0.0000026067182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022838099,0.0000016916584,0.004431485,0.000017009195,0.000008433984,3.5508845e-7,0.000030438026,0.98773944,0.0046888273,0.0000622712,0.00004260171,0.0029751528],"study_design_scores_gemma":[0.0006556613,0.000009982616,0.00045918976,0.00009440858,0.000003833984,0.0000021684464,0.000013101372,0.9942829,0.004015896,0.00008390003,0.00025036716,0.00012859436],"about_ca_topic_score_codex":0.000005437668,"about_ca_topic_score_gemma":0.00009465438,"teacher_disagreement_score":0.91689044,"about_ca_system_score_codex":0.0003751786,"about_ca_system_score_gemma":0.0000045537276,"threshold_uncertainty_score":0.22550586},"labels":[],"label_agreement":null},{"id":"W2584333276","doi":"10.1109/glocom.2016.7841794","title":"Energy Efficient Joint User Association and Power Allocation in a Two-Tier Heterogeneous Network","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Efficient energy use; Mathematical optimization; Quality of service; Relaxation (psychology); Association scheme; Power (physics); Iterative method; Convex optimization; Heterogeneous network; Energy (signal processing); Constraint (computer-aided design); Joint (building); Regular polygon; Algorithm; Computer network; Mathematics; Engineering; Wireless network","score_opus":0.004754343000389087,"score_gpt":0.19489572584625278,"score_spread":0.19014138284586368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2584333276","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":[0.10134616,0.0002658856,0.8961072,0.000074474614,0.00032061047,0.00012477145,0.0000013109808,0.00017651668,0.001583083],"genre_scores_gemma":[0.99675107,0.00004558241,0.0022526828,0.00004004436,0.000055882752,0.000026539048,0.0000026937612,0.000024623352,0.0008008681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935675,0.000026262658,0.00020470486,0.00013266232,0.00008390166,0.00019574468],"domain_scores_gemma":[0.9997384,0.000040437222,0.0000409163,0.00010726632,0.00003732182,0.000035684337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013173686,0.000093904586,0.00010964626,0.000057326924,0.000018054929,0.000014333218,0.000026704067,0.00005381656,0.0000351161],"category_scores_gemma":[0.000021714619,0.00007371829,0.00001634053,0.00011227023,0.0000049910805,0.00008381931,0.000015347396,0.00002679366,0.000012340699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024493831,0.0000067194296,0.0014402145,0.0000035730006,0.000010635991,8.421975e-7,0.00006144643,0.9923152,0.0034415764,0.0006746451,0.00027605274,0.0017666839],"study_design_scores_gemma":[0.0016729406,0.000036761117,0.002660058,0.00015174031,0.000011800401,0.000009637702,0.000025518946,0.9769473,0.012217069,0.00035728782,0.0054313927,0.00047848435],"about_ca_topic_score_codex":0.000024699573,"about_ca_topic_score_gemma":0.00018837008,"teacher_disagreement_score":0.89540493,"about_ca_system_score_codex":0.00032851947,"about_ca_system_score_gemma":0.000004703322,"threshold_uncertainty_score":0.30061448},"labels":[],"label_agreement":null},{"id":"W2585232878","doi":"10.1109/glocom.2016.7842317","title":"The Impact of Hardware Calibration Errors on the Performance of Massive MIMO Systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Precoding; Computer science; Duplex (building); Channel state information; MIMO; Residual; Channel (broadcasting); Calibration; Minimum mean square error; Real-time computing; Algorithm; Control theory (sociology); Wireless; Mathematics; Telecommunications; Statistics; Estimator","score_opus":0.009869923315632748,"score_gpt":0.22234994561746543,"score_spread":0.2124800223018327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585232878","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":[0.7692638,0.00016230407,0.22569591,0.00013730784,0.0003522009,0.00062994583,0.00003416894,0.00012308916,0.0036012977],"genre_scores_gemma":[0.999379,0.00005587553,0.00007594525,0.000001243333,0.000027766268,0.000023639095,0.000001485191,0.000016835183,0.00041824894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994623,0.000030582778,0.000239423,0.00006082629,0.00009941439,0.000107433836],"domain_scores_gemma":[0.9993723,0.00018407879,0.000095952026,0.0002598366,0.00007013967,0.00001771082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173894,0.000086797176,0.00010848283,0.000028402186,0.000043755084,0.000008107804,0.00011696677,0.000037012756,0.000019819803],"category_scores_gemma":[0.000042323587,0.000032448057,0.0000467282,0.000100460886,0.00003422617,0.00015550648,0.000009387229,0.00003473472,0.000006982651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012112329,0.0000037262964,0.0007072347,0.000037752132,0.000034214925,6.976585e-8,0.00009256536,0.9776456,0.017852973,0.002485127,0.0006719872,0.00045668503],"study_design_scores_gemma":[0.000165716,0.00013796211,0.0009862451,0.00024606366,0.0000062015815,0.0000015112731,0.0003345252,0.91849244,0.07945215,0.000029331328,0.000049234717,0.00009862114],"about_ca_topic_score_codex":0.00002993327,"about_ca_topic_score_gemma":0.0000043865666,"teacher_disagreement_score":0.23011519,"about_ca_system_score_codex":0.00007010547,"about_ca_system_score_gemma":0.000013638127,"threshold_uncertainty_score":0.13231933},"labels":[],"label_agreement":null},{"id":"W2585245683","doi":"10.1007/s11036-017-0820-2","title":"A DOA Estimation Approach for Transmission Performance Guarantee in D2D Communication","year":2017,"lang":"en","type":"article","venue":"Mobile Networks and Applications","topic":"Advanced MIMO Systems Optimization","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 British Columbia","funders":"","keywords":"Computer science; Transmission (telecommunications); Telecommunications; Estimation; Computer network","score_opus":0.009419004540172847,"score_gpt":0.2432637171861763,"score_spread":0.23384471264600343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585245683","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":[0.0034747096,0.0009852429,0.99284816,0.000013189318,0.000015975329,0.0014590062,0.000003533187,0.000087546774,0.0011126468],"genre_scores_gemma":[0.9447549,0.0017404465,0.048295032,0.0000051344664,0.00004491737,0.0049628816,0.00013151193,0.000022386077,0.00004278348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949753,0.000007582462,0.0001927735,0.000140297,0.000034431723,0.0001274119],"domain_scores_gemma":[0.99942815,0.000030306941,0.00006345484,0.00042591986,0.000027363172,0.000024794532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012552406,0.00009363242,0.00011493114,0.000036418325,0.00036105173,0.000062498366,0.00016237992,0.000078443234,0.0000012726988],"category_scores_gemma":[0.000002171197,0.000097049604,0.000018924658,0.000063061234,0.000037942602,0.0002555664,0.000016092905,0.00008925785,7.9459136e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034306017,0.000014976993,0.000110647736,0.000055934495,0.0000023677028,8.884822e-9,0.000034037625,0.8326337,0.000045927478,0.00045837433,0.00003274483,0.1666079],"study_design_scores_gemma":[0.00032685173,0.000010812871,0.0004442537,0.0000434036,0.0000069370876,0.0000013338758,0.000024078843,0.9953064,0.00006135189,0.00018933149,0.0034813613,0.00010391858],"about_ca_topic_score_codex":0.0000062498466,"about_ca_topic_score_gemma":0.0000046994965,"teacher_disagreement_score":0.94455314,"about_ca_system_score_codex":0.000029254057,"about_ca_system_score_gemma":0.0000038871467,"threshold_uncertainty_score":0.3957568},"labels":[],"label_agreement":null},{"id":"W2585642142","doi":"10.1109/glocom.2016.7842184","title":"QoE-Guaranteed and Sustainable User Position Guidance for Post-Disaster Cloud Radio Access Network","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cloud computing; Computer science; Radio access network; Computer network; Remote radio head; Quality of experience; Radio over fiber; Access network; Quality of service; Telecommunications; Wireless; Base station; Cognitive radio","score_opus":0.006695474802015284,"score_gpt":0.2302429397678187,"score_spread":0.2235474649658034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2585642142","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":[0.010221508,0.00040439787,0.9853559,0.00021210537,0.00029478024,0.00067259365,0.000009672313,0.0003125031,0.0025165107],"genre_scores_gemma":[0.97216326,0.000042127987,0.017665533,0.00022160103,0.0006320775,0.00015790273,0.000019560684,0.00008958578,0.009008326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914604,0.000016215896,0.0002104259,0.00018115772,0.000054025273,0.0003921229],"domain_scores_gemma":[0.99953413,0.00008250373,0.00003685025,0.00017868224,0.00011644437,0.00005139709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014187655,0.00014083508,0.00015142588,0.00004331573,0.00008425952,0.000067033594,0.00010303538,0.00007412621,0.00003355451],"category_scores_gemma":[0.000030998275,0.00010575628,0.00003028099,0.0001072205,0.000020199941,0.00074723485,0.000038984854,0.000029384462,0.000006788165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004371971,0.00004103815,0.00276924,0.0013256811,0.00018518697,0.000018227374,0.0006655423,0.77628183,0.022747798,0.114264145,0.07395181,0.0073123057],"study_design_scores_gemma":[0.025072873,0.0011995063,0.006407655,0.002953241,0.00036712384,0.000354909,0.0035294073,0.43829337,0.062505625,0.029944522,0.42321852,0.006153231],"about_ca_topic_score_codex":0.000010862676,"about_ca_topic_score_gemma":0.000014928439,"teacher_disagreement_score":0.9676904,"about_ca_system_score_codex":0.00009493816,"about_ca_system_score_gemma":0.000008444654,"threshold_uncertainty_score":0.43126157},"labels":[],"label_agreement":null},{"id":"W2586461115","doi":"10.1109/lwc.2017.2665472","title":"Cell Switch-Off for Networks Deployed With Variable Spatial Regularity","year":2017,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greedy algorithm; Computer science; Cellular network; Energy (signal processing); Variable (mathematics); Set (abstract data type); Efficient energy use; Energy consumption; Computer network; Algorithm; Mathematics; Engineering; Electrical engineering","score_opus":0.01418865303635925,"score_gpt":0.22890567752693794,"score_spread":0.2147170244905787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586461115","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":[0.023682803,0.00017877056,0.97333735,0.0007108569,0.00036487085,0.00064732396,0.000020193142,0.00036193107,0.0006959185],"genre_scores_gemma":[0.8870246,0.00013458567,0.11200498,0.00013055021,0.00012976423,0.00035169162,0.000073628216,0.00009157637,0.000058665173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907666,0.000049702172,0.00027280662,0.00020062555,0.00009469999,0.00030548585],"domain_scores_gemma":[0.9962317,0.00014210578,0.00018189402,0.003270993,0.000102701306,0.000070651266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018252886,0.00020348183,0.00023466331,0.000057493926,0.00083181413,0.00016254948,0.0013136317,0.0001072441,0.0000020564075],"category_scores_gemma":[0.000015769408,0.00021464415,0.00004805692,0.00008378881,0.00015277429,0.00039555217,0.000092692884,0.0002581655,0.000004782933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002178748,0.00004031282,0.00065132935,0.00006486896,0.000056391353,8.742656e-7,0.000112543836,0.9803347,0.011810523,0.00033955145,0.0037630657,0.0028040344],"study_design_scores_gemma":[0.00094360637,0.000019642957,0.0003133894,0.000096364376,0.000049370465,0.000004344731,0.000023671528,0.9910284,0.0033463116,0.00003793063,0.003790393,0.0003465224],"about_ca_topic_score_codex":0.00017532779,"about_ca_topic_score_gemma":0.00031454573,"teacher_disagreement_score":0.86334175,"about_ca_system_score_codex":0.00011244979,"about_ca_system_score_gemma":0.000020835316,"threshold_uncertainty_score":0.87529343},"labels":[],"label_agreement":null},{"id":"W2587495713","doi":"10.1049/iet-com.2016.1166","title":"Interference and throughput aware resource allocation for multi‐class D2D in 5G networks","year":2017,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Custom Security Industries (Canada); Toronto Metropolitan University","funders":"","keywords":"Throughput; Computer science; Interference (communication); Class (philosophy); Resource allocation; Computer network; Resource (disambiguation); Distributed computing; Telecommunications; Artificial intelligence; Wireless; Channel (broadcasting)","score_opus":0.06384297838110176,"score_gpt":0.3226781338232272,"score_spread":0.25883515544212543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587495713","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":[0.001460898,0.00095717236,0.993959,0.00063206535,0.00009582474,0.0004944522,0.000013923791,0.00014095489,0.002245701],"genre_scores_gemma":[0.9677224,0.00061221543,0.031175384,0.000019276895,0.000025513345,0.00023158053,0.00007486712,0.000026908076,0.000111844856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994754,0.000033078515,0.00021149991,0.00012043803,0.000025569001,0.00013399468],"domain_scores_gemma":[0.9981521,0.00012904973,0.00008125205,0.001546108,0.000060260114,0.000031232565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013941572,0.00009599962,0.000120060125,0.000044297583,0.00030447764,0.0000800032,0.00062704424,0.000080981,0.0000012228297],"category_scores_gemma":[0.000088311994,0.00011107465,0.0000187764,0.000052320796,0.000087349,0.00029182227,0.00013888943,0.00015636893,0.000002509609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016231279,0.00008682191,0.0040253685,0.00012766955,0.00004572929,3.1359355e-7,0.0027646015,0.9369357,0.0007517084,0.007484343,0.0014113263,0.046350166],"study_design_scores_gemma":[0.00035589637,0.000008413923,0.0020588099,0.000114206436,0.0000062316058,0.0000013038344,0.00020427906,0.99083924,0.00006308991,0.00012146924,0.0061117364,0.000115334224],"about_ca_topic_score_codex":0.000069951224,"about_ca_topic_score_gemma":0.001665111,"teacher_disagreement_score":0.9662615,"about_ca_system_score_codex":0.000067304485,"about_ca_system_score_gemma":0.0000081615535,"threshold_uncertainty_score":0.4529493},"labels":[],"label_agreement":null},{"id":"W2587689811","doi":"10.1109/glocomw.2016.7848878","title":"Distributed Interference and Delay Aware Design for D2D Communication in Cellular Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Throughput; Interference (communication); Power control; Fading; Wireless; Wireless network; Computer network; Stochastic geometry; Radio resource management; Cellular network; Channel (broadcasting); Distributed computing; Reuse; Resource allocation; Coverage probability; Network packet; Power (physics); Telecommunications; Engineering","score_opus":0.01674848633530035,"score_gpt":0.2191096984266979,"score_spread":0.20236121209139754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587689811","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":[0.0014675894,0.00030776276,0.9976803,0.000033938297,0.00003906822,0.00029230874,0.000007635363,0.0001166044,0.000054780943],"genre_scores_gemma":[0.9735369,0.00014883334,0.02613751,0.000004038758,0.000009127979,0.00007127834,0.000029315426,0.000014816574,0.0000481592],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996231,0.00002373453,0.00014529176,0.00008080756,0.000017465482,0.00010956224],"domain_scores_gemma":[0.99959826,0.00016564163,0.000018835979,0.00016314613,0.000030282277,0.000023826991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010209369,0.00006910975,0.00008297941,0.000028312217,0.000020059852,0.000010776052,0.00007423087,0.000054300315,0.0000065865747],"category_scores_gemma":[0.000018632296,0.00005319166,0.000008414196,0.00006442699,0.00001354068,0.00014671468,0.000019268648,0.000033357508,0.0000014920528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001578757,0.0000064809774,0.00053411967,0.000026974347,0.000008177838,4.1462337e-7,0.000068139794,0.9862613,0.0029166266,0.0005434833,0.0004846933,0.009133822],"study_design_scores_gemma":[0.0003683812,0.000014968402,0.000051797673,0.0001020882,0.000002656023,9.556293e-7,0.000029713003,0.9959105,0.0030074061,0.00029275706,0.00012526922,0.00009348145],"about_ca_topic_score_codex":0.0000050922367,"about_ca_topic_score_gemma":0.00003403125,"teacher_disagreement_score":0.9720693,"about_ca_system_score_codex":0.000056778983,"about_ca_system_score_gemma":0.000002837044,"threshold_uncertainty_score":0.21690929},"labels":[],"label_agreement":null},{"id":"W2588590245","doi":"10.1109/access.2017.2663758","title":"Efficient Joint User Association and Resource Allocation for Cloud Radio Access Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Foundation of Korea; Sejong University","keywords":"Computer science; Scheduling (production processes); Telecommunications link; Cloud computing; Distributed computing; Radio access network; Greedy algorithm; Base station; Cellular network; Resource allocation; Radio resource management; Computer network; Heuristic; Mathematical optimization; Wireless network; Algorithm; Wireless","score_opus":0.024028023249694226,"score_gpt":0.28105856923300937,"score_spread":0.25703054598331515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588590245","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":[0.10538288,0.00017905088,0.89134413,0.00013350177,0.0015443899,0.0006252776,0.000008090761,0.0001900807,0.00059260166],"genre_scores_gemma":[0.9979463,0.000047031157,0.0008028369,0.000036227855,0.0007080505,0.000119103024,0.000018818899,0.000049161987,0.0002724194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991666,0.000020695006,0.0002457993,0.00021018337,0.0001170893,0.00023960133],"domain_scores_gemma":[0.9991393,0.000082504426,0.00023696426,0.0003764754,0.000106132735,0.00005862619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032136397,0.00013748564,0.00018238406,0.00005817973,0.00030379638,0.0006254312,0.0003661722,0.00013619447,0.0000030687268],"category_scores_gemma":[0.00015804468,0.00014676763,0.000035126635,0.00006242633,0.00001685111,0.0005318551,0.000063241474,0.00009928391,0.0000022465945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008468369,0.000007345323,0.0020927673,0.000058619502,0.000025791893,3.4529367e-7,0.000068407295,0.99158096,0.00025669407,0.000071024544,0.004121654,0.0017079373],"study_design_scores_gemma":[0.0005950009,0.000009367087,0.008172126,0.00006470464,0.000028344295,0.0000013090971,0.000009897975,0.9853129,0.0027559723,0.00006127235,0.002782663,0.00020643928],"about_ca_topic_score_codex":0.000027275462,"about_ca_topic_score_gemma":0.000034072476,"teacher_disagreement_score":0.89256346,"about_ca_system_score_codex":0.00022663375,"about_ca_system_score_gemma":0.000008014179,"threshold_uncertainty_score":0.60310477},"labels":[],"label_agreement":null},{"id":"W2590907967","doi":"10.1016/j.aeue.2017.02.011","title":"Compact wideband omnidirectional UHF antenna for TV white space cognitive radio application","year":2017,"lang":"en","type":"article","venue":"AEU - International Journal of Electronics and 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":"University of Ottawa","funders":"Engineering and Physical Sciences Research Council; Research Councils UK","keywords":"Omnidirectional antenna; Monopole antenna; Antenna measurement; Radiation pattern; Coaxial antenna; Dipole antenna; Acoustics; Antenna tuner; Antenna (radio); Computer science; Physics; Electronic engineering; Telecommunications; Engineering","score_opus":0.014907287098587595,"score_gpt":0.29291799434843524,"score_spread":0.27801070724984767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2590907967","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":[0.008247476,0.006388151,0.97830397,0.0038379193,0.0004513908,0.00034899238,0.0000717738,0.00004582545,0.0023045242],"genre_scores_gemma":[0.9887055,0.005457317,0.0053873016,0.000034789937,0.00016971143,0.000024784678,0.0000636252,0.000025764904,0.0001311921],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999213,0.000026321373,0.00036043866,0.00009652541,0.0001557068,0.00014804829],"domain_scores_gemma":[0.9981456,0.00019455612,0.00042534716,0.00038789518,0.00078176573,0.00006482906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025795848,0.000120851255,0.00018127942,0.00012674514,0.0003556825,0.00016249549,0.000742628,0.000057017893,0.000005949102],"category_scores_gemma":[0.00015100415,0.00012526097,0.00008318369,0.00004483835,0.00009439764,0.000508945,0.00005697991,0.00023824746,0.0000017843536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025792925,0.0020264282,0.06148485,0.00032134628,0.010998999,0.000019586316,0.0058804615,0.13184774,0.16059674,0.42288506,0.019007219,0.18235226],"study_design_scores_gemma":[0.0056605875,0.0004417511,0.013494177,0.00056926,0.00031871095,0.00073258235,0.0005599521,0.86159533,0.0057083853,0.01872653,0.091372795,0.0008199627],"about_ca_topic_score_codex":0.00001179793,"about_ca_topic_score_gemma":0.00007948433,"teacher_disagreement_score":0.980458,"about_ca_system_score_codex":0.00016598472,"about_ca_system_score_gemma":0.000069438705,"threshold_uncertainty_score":0.5107994},"labels":[],"label_agreement":null},{"id":"W2591329929","doi":"10.1049/iet-com.2016.1356","title":"Effect of composite channel aging on the spectral efficiency of multi‐pair massive multiple‐input multiple‐output amplify‐and‐forward relay networks","year":2017,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Medical Research Council; Nanjing University of Posts and Telecommunications; National Natural Science Foundation of China","keywords":"Relay; Computer science; Spectral efficiency; Channel (broadcasting); Composite number; Telecommunications; Relay channel; Computer network; Topology (electrical circuits); Physics; Algorithm; Electrical engineering; Engineering","score_opus":0.019525846366116043,"score_gpt":0.26583246570880614,"score_spread":0.2463066193426901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591329929","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":[0.31534204,0.002034731,0.67705953,0.00080440106,0.00050214864,0.0021423474,0.00013027467,0.000382778,0.0016017463],"genre_scores_gemma":[0.99158996,0.00036351598,0.0077755717,0.000009545034,0.0000352919,0.00009970152,0.00004198576,0.00004820904,0.000036189616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987949,0.00023405801,0.00043242425,0.00017665945,0.00011376162,0.0002482052],"domain_scores_gemma":[0.9949993,0.001956568,0.00035274494,0.0025321697,0.000097723234,0.000061528364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048966525,0.00022685333,0.00035561522,0.00009216229,0.0006013066,0.000043332893,0.001157087,0.00011569005,0.0000015988958],"category_scores_gemma":[0.00046892354,0.00018445513,0.00010434818,0.00011960887,0.0003464839,0.00016026219,0.00030372897,0.0004234909,0.0000050713165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021852087,0.000056151905,0.006355625,0.00008683951,0.000073836956,3.815511e-7,0.001018494,0.98785824,0.0030966112,0.00033266965,0.000050022616,0.0010493075],"study_design_scores_gemma":[0.0008572522,0.000085908,0.0057520783,0.00030097473,0.000042657095,0.000002394034,0.000102370024,0.98565704,0.006938627,0.000010158359,0.00008287886,0.00016764172],"about_ca_topic_score_codex":0.00011619891,"about_ca_topic_score_gemma":0.00009500881,"teacher_disagreement_score":0.67624795,"about_ca_system_score_codex":0.000060773527,"about_ca_system_score_gemma":0.000008530879,"threshold_uncertainty_score":0.7521862},"labels":[],"label_agreement":null},{"id":"W2591806793","doi":"10.1007/s11235-017-0298-z","title":"A compendium of optimization techniques for green radio resource management","year":2017,"lang":"en","type":"article","venue":"Telecommunication Systems","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Compendium; Efficient energy use; Telecommunications; Wireless; Relay; Radio resource management; Key (lock); Resource (disambiguation); Resource allocation; Wireless network; Computer network; Power (physics); Computer security; Electrical engineering","score_opus":0.020101798694785195,"score_gpt":0.2657967257931304,"score_spread":0.2456949270983452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591806793","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":[0.00012932834,0.00056732824,0.9714285,0.00006829169,0.00013539204,0.001496994,0.00001713316,0.0004381771,0.025718816],"genre_scores_gemma":[0.84739286,0.00024572544,0.15092832,0.000004113476,0.000070601374,0.0005639077,0.00012818536,0.00006510749,0.00060119526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906963,0.000053202853,0.0004923489,0.00013295998,0.00010479024,0.00014709283],"domain_scores_gemma":[0.99773306,0.00005709406,0.00036773464,0.0016863181,0.00012174026,0.00003405863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003940551,0.00013365614,0.00025732722,0.00013077194,0.0002433032,0.00006508194,0.00079426164,0.00008619717,0.0000036723793],"category_scores_gemma":[0.000020872081,0.00014899804,0.000049659557,0.00006992701,0.000046770543,0.0002685353,0.00009074379,0.00006725933,0.0000034852471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016079503,0.00002694116,0.00008724008,0.0008082543,0.00009082597,2.4990885e-7,0.00022763562,0.9809822,0.00080423086,0.0073834276,0.0009255231,0.008647385],"study_design_scores_gemma":[0.0005760646,0.000048359976,0.00014379177,0.00041587008,0.000046564805,0.000009248245,0.0004572959,0.94981146,0.0042617815,0.000107338354,0.04379181,0.00033040077],"about_ca_topic_score_codex":0.000060769442,"about_ca_topic_score_gemma":0.000007740056,"teacher_disagreement_score":0.8472635,"about_ca_system_score_codex":0.00010513817,"about_ca_system_score_gemma":0.0000051358206,"threshold_uncertainty_score":0.6075964},"labels":[],"label_agreement":null},{"id":"W2591859534","doi":"","title":"Estimating spatial correlations of the channel elements of a multiple input multiple output system based on outdoor to indoor channel measurements","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; Carleton University","funders":"","keywords":"MIMO; Channel (broadcasting); Computer science; Spatial correlation; Covariance; Multi-user MIMO; Non-line-of-sight propagation; Wireless; Wideband; Precoding; Electronic engineering; Computer network; Telecommunications; Engineering; Mathematics; Statistics","score_opus":0.007885243109037382,"score_gpt":0.20202269408870624,"score_spread":0.19413745097966886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591859534","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":[0.31218812,0.000030904626,0.682039,0.0006380483,0.0008502366,0.0014035203,0.00011576258,0.00036375155,0.0023706595],"genre_scores_gemma":[0.9924542,0.0000014124018,0.00716501,0.000036935213,0.000074117044,0.0001522514,0.000031344025,0.00003723908,0.00004753826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862987,0.000016821492,0.0005568541,0.00025389827,0.00029911826,0.00024342751],"domain_scores_gemma":[0.99924564,0.00007326721,0.00023346208,0.00025381957,0.00016212362,0.000031686435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001186237,0.00022012317,0.00025140733,0.00038422472,0.00009039753,0.000011256769,0.00029717287,0.00017640112,0.0000014438285],"category_scores_gemma":[0.00007787472,0.00020135869,0.00004728834,0.00038464853,0.00007062624,0.000029612213,0.000055576213,0.00020235617,0.000004427213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000099204175,0.00014677891,0.0040207454,0.00007438106,0.00004746015,6.1486367e-7,0.00005375184,0.72574806,0.26775137,0.0015581825,0.00004128307,0.00045816437],"study_design_scores_gemma":[0.0012361229,0.00025620998,0.001575538,0.00022927814,0.00002150683,0.0000039535726,0.000041940893,0.89895433,0.09737649,0.000119423275,0.000022156411,0.00016302257],"about_ca_topic_score_codex":0.000027445834,"about_ca_topic_score_gemma":0.00004309661,"teacher_disagreement_score":0.680266,"about_ca_system_score_codex":0.0001432194,"about_ca_system_score_gemma":0.000014368174,"threshold_uncertainty_score":0.8211169},"labels":[],"label_agreement":null},{"id":"W2591968133","doi":"","title":"A comparison of multipath-dispersion-related microcellular mobile radio channel characteristics at 1.9 GHz and 5.8 GHz","year":2002,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Multipath propagation; Delay spread; Radio spectrum; Mobile radio; Radio channel; Channel (broadcasting); Radio frequency; Dispersion (optics); Computer science; Electronic engineering; Mobile telephony; Cellular radio; Telecommunications; Physics; Engineering; Optics; Base station","score_opus":0.005612664666234711,"score_gpt":0.20703333084971165,"score_spread":0.20142066618347693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591968133","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":[0.99108803,0.0022620826,0.0041848635,0.00024811956,0.00021032307,0.00038168518,0.000030800016,0.00033291575,0.0012611619],"genre_scores_gemma":[0.9962908,0.0019149317,0.0012405035,0.00001967022,0.00002590189,0.000054232332,0.000040461906,0.000040120834,0.00037337292],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989362,0.0000070712063,0.00041601842,0.00027887782,0.00011640763,0.0002454653],"domain_scores_gemma":[0.9995525,0.000036612528,0.00013091923,0.00016837372,0.000059867878,0.000051753384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042948268,0.00022683463,0.00032468664,0.0002778008,0.000081352926,0.000013944835,0.00017058487,0.0002976109,0.00004270343],"category_scores_gemma":[0.000010797716,0.00024406964,0.000029981768,0.0002284623,0.00017573447,0.000039200222,0.000067243906,0.00026324257,0.000023173134],"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":[0.000037858958,0.00012845523,0.0008100025,0.000049767717,0.00007585723,0.0000050125723,0.00036724628,0.0027313456,0.99184704,0.0015473141,0.00010546362,0.0022946328],"study_design_scores_gemma":[0.0015135612,0.00070534594,0.00029611902,0.00009969888,0.000053186828,0.00014489528,0.00019616229,0.7540318,0.24029832,0.00030132875,0.0018780135,0.0004816232],"about_ca_topic_score_codex":9.122036e-7,"about_ca_topic_score_gemma":0.0000012581463,"teacher_disagreement_score":0.7515487,"about_ca_system_score_codex":0.00008057271,"about_ca_system_score_gemma":0.0000020331897,"threshold_uncertainty_score":0.9952871},"labels":[],"label_agreement":null},{"id":"W2592812296","doi":"10.1109/acssc.2016.7869020","title":"Robust precoding design for massive MISO downlink","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; Telecommunications link; Robustness (evolution); Maximization; Computer science; Beamforming; Offset (computer science); Zero-forcing precoding; Mathematical optimization; Control theory (sociology); Electronic engineering; MIMO; Mathematics; Engineering; Telecommunications; Artificial intelligence","score_opus":0.03964424262489457,"score_gpt":0.2249059169779105,"score_spread":0.18526167435301594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592812296","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":[0.00008874755,0.00005122089,0.9957317,0.000081140504,0.00030802988,0.0004206566,0.0000065083464,0.00042017142,0.0028917883],"genre_scores_gemma":[0.24284786,0.000045549095,0.7524996,0.000015039001,0.00020043638,0.00017798824,0.000004161936,0.000058730202,0.0041506593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995403,0.000007858171,0.00013800482,0.000112839974,0.0000340539,0.00016688945],"domain_scores_gemma":[0.9996218,0.00015893839,0.000020336325,0.00011826124,0.000043095064,0.000037539714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071551185,0.00008780694,0.00009521312,0.000039504237,0.000028832786,0.000011199438,0.00006113738,0.000053084223,0.00008393494],"category_scores_gemma":[0.000057350502,0.000061000443,0.000027302021,0.00004769527,0.0000068487566,0.00018726676,0.0000066540656,0.000019010819,0.000047043173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005339323,0.000002430541,0.000015741032,0.000028956607,0.0000148914005,3.0257456e-7,0.000033393797,0.9696744,0.016341422,0.00056412723,0.004258532,0.009060457],"study_design_scores_gemma":[0.0010720498,0.000050184168,0.000012601528,0.00013023775,0.000015376163,0.000003650973,0.000062232786,0.88368845,0.10854479,0.00091092323,0.00514557,0.00036392995],"about_ca_topic_score_codex":5.995428e-7,"about_ca_topic_score_gemma":0.0000019415716,"teacher_disagreement_score":0.24323216,"about_ca_system_score_codex":0.000078603916,"about_ca_system_score_gemma":0.0000059100225,"threshold_uncertainty_score":0.2487526},"labels":[],"label_agreement":null},{"id":"W2593137245","doi":"10.1109/tvt.2017.2677399","title":"On the Performance of MIMO-SVD Multiplexing Systems in HetNets: A Stochastic Geometry Perspective","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Stochastic geometry; Multiplexing; Computer science; Spatial multiplexing; Base station; Heterogeneous network; Spectral efficiency; Transmitter; Coverage probability; Path loss; Channel state information; Topology (electrical circuits); Interference (communication); Algorithm; Electronic engineering; Channel (broadcasting); Computer network; Mathematics; Wireless; Wireless network; Telecommunications; Engineering; Statistics; Electrical engineering","score_opus":0.009902969728608808,"score_gpt":0.22883623606532763,"score_spread":0.21893326633671883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593137245","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41581145,0.00020894386,0.5826112,0.00014012097,0.00040879185,0.00046631764,0.000014182703,0.00023135304,0.000107637],"genre_scores_gemma":[0.9992544,0.00004558581,0.00039367273,0.0000056773865,0.0000138754995,0.0002151369,6.459277e-7,0.000041935014,0.000029069603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990464,0.000025643882,0.00029245872,0.00024083653,0.000135618,0.00025905098],"domain_scores_gemma":[0.9988598,0.000101055964,0.00011665883,0.0008090311,0.00008929063,0.000024152594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014697415,0.00019512532,0.00027860006,0.0006110194,0.0002485028,0.000022689106,0.0003875128,0.0002546463,0.0000069657467],"category_scores_gemma":[0.000052837888,0.0001687631,0.000060933802,0.0003545133,0.00017756701,0.00015073377,0.0000027393253,0.00053654914,0.000021739557],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017694412,0.00004607687,0.000020078787,0.000048926013,0.000047229576,0.000004205664,0.00012988863,0.990993,0.006040562,0.0019506974,0.0000028320328,0.0006987744],"study_design_scores_gemma":[0.000592723,0.0001610187,0.000087778666,0.00041548052,0.000018081228,0.00002606528,0.0009485755,0.9640265,0.033361923,0.00013943983,0.0000130938,0.00020930453],"about_ca_topic_score_codex":0.000078177545,"about_ca_topic_score_gemma":0.000058963968,"teacher_disagreement_score":0.5834429,"about_ca_system_score_codex":0.0002766015,"about_ca_system_score_gemma":0.000014376178,"threshold_uncertainty_score":0.688196},"labels":[],"label_agreement":null},{"id":"W2593162832","doi":"","title":"A 3D geometrically based ellipsoidal wireless channel model","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Wireless; Ellipsoid; Probability density function; Channel (broadcasting); Multipath propagation; Joint (building); Cumulative distribution function; Spatial correlation; Exploit; Joint probability distribution; Component (thermodynamics); Algorithm; Telecommunications; Engineering; Mathematics; Geography; Physics; Statistics","score_opus":0.008094166094724398,"score_gpt":0.1929733890269602,"score_spread":0.1848792229322358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593162832","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":[0.0044378815,0.0000450852,0.97219414,0.000016613962,0.000097754266,0.00014005814,0.000005827167,0.0007458116,0.022316845],"genre_scores_gemma":[0.9301957,0.000004272548,0.068138435,0.000031987634,0.00008083974,0.000027523203,0.000021698095,0.00004663572,0.0014528981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999308,0.0000056367912,0.0002045608,0.00014141378,0.00011461488,0.00022576813],"domain_scores_gemma":[0.9996932,0.0000233952,0.000020041729,0.00016883944,0.000048979673,0.00004550947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005104322,0.00012998367,0.00013508448,0.00019389999,0.000030265797,0.000019356274,0.00008533962,0.00007863883,0.000028202841],"category_scores_gemma":[0.0000070024334,0.00013027959,0.000035450317,0.00043226074,0.000009525884,0.00012956186,0.000009425107,0.00007114284,0.000055060038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019451838,0.000015745014,0.000022463308,0.000024764933,0.0000031742536,0.0000014166532,0.0000053659337,0.99719334,0.0010190462,0.00042002002,0.00078728993,0.00050541735],"study_design_scores_gemma":[0.0002701391,0.0000073383253,0.000016016626,0.0000079630545,0.0000037782254,0.0000011500092,0.0000024939582,0.9978437,0.001387688,0.00020481113,0.00008976691,0.00016518263],"about_ca_topic_score_codex":0.00003502441,"about_ca_topic_score_gemma":0.000021287868,"teacher_disagreement_score":0.9257578,"about_ca_system_score_codex":0.00007963936,"about_ca_system_score_gemma":0.000011883271,"threshold_uncertainty_score":0.5312647},"labels":[],"label_agreement":null},{"id":"W2593408193","doi":"10.1007/978-3-319-53771-9_4","title":"Joint Energy and Spectrum Management in ESHSNs","year":2017,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"University of Waterloo","funders":"","keywords":"Computer science; Energy (signal processing); Energy consumption; Energy harvesting; Wireless sensor network; Stability (learning theory); A priori and a posteriori; Fading; Channel (broadcasting); Mathematical optimization; Algorithm; Computer network; Engineering; Mathematics; Statistics; Machine learning","score_opus":0.005886695222125695,"score_gpt":0.1700769009169243,"score_spread":0.16419020569479859,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593408193","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":[0.00032264937,0.0076286574,0.93878853,0.000041701125,0.0006959826,0.00041650396,0.0000035631317,0.0004323209,0.05167008],"genre_scores_gemma":[0.80681896,0.037888758,0.09408419,0.0002239308,0.0030519422,0.00028351558,0.000066161454,0.0013148492,0.05626768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868464,0.0000039571214,0.00038384914,0.000417903,0.00011895882,0.00039068033],"domain_scores_gemma":[0.99953675,0.000023834682,0.000050399576,0.00028757664,0.000008318703,0.00009310862],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007871263,0.00039600034,0.00048315548,0.0005060696,0.000028275057,0.00007559748,0.00014068997,0.00021974204,0.000004355154],"category_scores_gemma":[0.0000028584432,0.00046376258,0.000044202287,0.000046758178,0.00001997797,0.00011083841,0.000156085,0.00038052406,0.0000020616149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009797024,0.000018250088,0.00006913209,0.0006150918,0.00016771312,0.00050099136,0.000089673864,0.62061805,0.00006053135,0.22321409,0.00012746704,0.1545092],"study_design_scores_gemma":[0.0005410873,0.000039174225,0.00096981175,0.00065704517,0.00001838961,0.000049746377,3.78974e-7,0.9680562,0.00007874836,0.0031365324,0.025719639,0.00073324126],"about_ca_topic_score_codex":0.000019358646,"about_ca_topic_score_gemma":0.00003452068,"teacher_disagreement_score":0.84470433,"about_ca_system_score_codex":0.00018838512,"about_ca_system_score_gemma":0.0000054966426,"threshold_uncertainty_score":0.9997814},"labels":[],"label_agreement":null},{"id":"W2593484648","doi":"10.1109/mcom.2016.7470938","title":"LTE-advanced pro: part 1 [Guest Editorial]","year":2016,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Computer science; Telecommunications; Mobile broadband; Wireless; Penetration rate; IMT Advanced; Broadband; Mobile telephony; Term (time); LTE Advanced; Mobile computing; Mobile technology; Computer network; Multimedia; Mobile Web; Mobile radio; Telecommunications link; Engineering","score_opus":0.02195464333618457,"score_gpt":0.26435399891528427,"score_spread":0.2423993555790997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593484648","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":[0.0026256253,0.003960685,0.47635978,0.004317073,0.40176037,0.0029072727,0.00031394666,0.0068274857,0.100927755],"genre_scores_gemma":[0.798819,0.00869436,0.07044906,0.00010703412,0.10554424,0.001913285,0.00026681437,0.00045935632,0.013746837],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99902874,0.00005758154,0.00037171462,0.00016593178,0.00013417653,0.00024186267],"domain_scores_gemma":[0.9973556,0.00019030133,0.000077172095,0.0020930965,0.00020061064,0.000083215724],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015936638,0.00017486303,0.00018533303,0.000090704365,0.00012261505,0.000024734029,0.0006918108,0.0000989628,0.000022485288],"category_scores_gemma":[0.00013191317,0.000146861,0.000043421245,0.00027935422,0.00009624647,0.0004678707,0.000086656364,0.00014908944,0.0010100653],"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":[0.000015932088,0.00012580054,0.00018629694,0.00006488604,0.000055163557,0.0000011245018,0.00016131299,0.019197287,0.14254642,0.0007841749,0.8267371,0.010124498],"study_design_scores_gemma":[0.00056317134,0.000021520962,0.000036416237,0.00012623818,0.000012230723,0.000003854902,0.000009396578,0.001238559,0.0039523565,0.00020849168,0.9935839,0.00024386695],"about_ca_topic_score_codex":0.0000016419519,"about_ca_topic_score_gemma":0.000046626228,"teacher_disagreement_score":0.79619336,"about_ca_system_score_codex":0.00015329293,"about_ca_system_score_gemma":0.000021800408,"threshold_uncertainty_score":0.9997678},"labels":[],"label_agreement":null},{"id":"W2594306674","doi":"10.1109/antem.2004.7860648","title":"Information theory and electromagnetism: Are they related?","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electromagnetism; Antenna (radio); Limit (mathematics); Aperture (computer memory); MIMO; Mathematics; Physics; Channel capacity; Antenna aperture; Nyquist–Shannon sampling theorem; Mathematical analysis; Topology (electrical circuits); Telecommunications; Channel (broadcasting); Radiation pattern; Computer science; Quantum mechanics; Acoustics","score_opus":0.0018506892094214693,"score_gpt":0.16787634324731998,"score_spread":0.1660256540378985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594306674","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":[0.07614605,0.0004409551,0.86667573,0.000058571706,0.00013486347,0.00021214975,0.0000019261495,0.00081021746,0.055519536],"genre_scores_gemma":[0.9961926,0.000095503296,0.0034951635,0.000029182314,0.000008607154,0.000007266838,0.0000069979765,0.000009724957,0.00015499322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997289,0.000007242301,0.00011347718,0.000031011237,0.000033557804,0.00008576396],"domain_scores_gemma":[0.9998601,0.0000122187685,0.000018887396,0.000071744566,0.000014678912,0.000022389446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000071624134,0.0000584488,0.00005279678,0.000044190594,0.000023226374,0.00001680736,0.000025049258,0.000045759018,0.000020084304],"category_scores_gemma":[0.00001817688,0.00005382388,0.000007774827,0.000052582007,0.0000063956613,0.00053197425,0.000005739061,0.0000528438,0.000050160375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040520754,0.0000026485257,0.000049820046,0.000036871977,0.000011611281,6.635996e-7,0.0012251964,0.86428744,0.00128921,0.12840645,0.00006596355,0.004620047],"study_design_scores_gemma":[0.008807437,0.00057391025,0.010324243,0.0005260907,0.0001065126,0.0006137075,0.0070684147,0.13728318,0.040057387,0.78282475,0.009118189,0.002696209],"about_ca_topic_score_codex":0.000005067717,"about_ca_topic_score_gemma":0.00000858179,"teacher_disagreement_score":0.9200465,"about_ca_system_score_codex":0.0000391157,"about_ca_system_score_gemma":0.0000032123396,"threshold_uncertainty_score":0.2194874},"labels":[],"label_agreement":null},{"id":"W2594317249","doi":"","title":"Effect of realistic MIMO channels correlation on the MIMO indoor systems detectors","year":2006,"lang":"en","type":"article","venue":"International Symposium on Antenna Technology and Applied Electromagnetics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"MIMO; Spatial correlation; Kronecker product; Detector; Covariance matrix; Kronecker delta; Channel (broadcasting); Spatial multiplexing; Transmission (telecommunications); Correlation; Multi-user MIMO; Antenna (radio); Algorithm; Mathematics; Topology (electrical circuits); Computer science; Electronic engineering; Statistics; Physics; Telecommunications; Engineering; Geometry","score_opus":0.0028108696129620506,"score_gpt":0.1913192839408547,"score_spread":0.18850841432789264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594317249","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":[0.9289203,0.0004994406,0.053199828,0.00070703885,0.0011919208,0.0012585627,0.000035055753,0.000707485,0.0134803215],"genre_scores_gemma":[0.99930656,0.00009729857,0.00009202389,0.000018914183,0.00010221348,0.00014773814,0.00003283233,0.000036903857,0.00016549343],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990047,0.00003073581,0.00034173325,0.00022581556,0.00017226188,0.00022474017],"domain_scores_gemma":[0.999312,0.00026433036,0.0001283329,0.00021306428,0.000060785467,0.000021502094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016018926,0.00022637333,0.00023245963,0.00030338822,0.0000761404,0.000026550277,0.00022336085,0.00024582059,0.0000054967604],"category_scores_gemma":[0.000037654794,0.00017806757,0.00003442989,0.00033828,0.00012072629,0.0000307027,0.000023527109,0.0002869407,0.000013678103],"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":[0.00021066894,0.00005744626,0.00036153357,0.00009402678,0.000083825165,0.000004862894,0.000029841856,0.2211368,0.5376571,0.23852627,0.00027508492,0.0015625795],"study_design_scores_gemma":[0.0018756588,0.0029463929,0.0002811071,0.00030626383,0.000095829615,0.00009652112,0.00005832552,0.5949448,0.3943936,0.0033647586,0.0010298939,0.00060685637],"about_ca_topic_score_codex":0.0000118292355,"about_ca_topic_score_gemma":0.000003434023,"teacher_disagreement_score":0.373808,"about_ca_system_score_codex":0.0000824231,"about_ca_system_score_gemma":0.0000044991766,"threshold_uncertainty_score":0.7261385},"labels":[],"label_agreement":null},{"id":"W2595217078","doi":"10.1109/twc.2017.2682079","title":"System Cost Minimization in Cloud RAN With Limited Fronthaul Capacity","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Singapore University of Technology and Design; Chongqing University of Posts and Telecommunications; Ministry of Education, India; Chongqing University","keywords":"C-RAN; Computer science; Radio access network; Beamforming; Cloud computing; Baseband; Robustness (evolution); Remote radio head; Ran; Benchmark (surveying); Distributed computing; Base station; Computer network; Mathematical optimization; Telecommunications; Bandwidth (computing); Mathematics; Operating system","score_opus":0.028728168380119348,"score_gpt":0.24507041129707302,"score_spread":0.21634224291695367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595217078","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":[0.019196417,0.000058184603,0.9751039,0.0001722576,0.00047697057,0.0008493365,0.00009363471,0.0005718934,0.0034774079],"genre_scores_gemma":[0.9886547,0.00028213928,0.0102858255,0.000011131606,0.000026793667,0.0005299938,0.0000338721,0.000078320525,0.00009727139],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880916,0.0001207895,0.00042096843,0.00023144779,0.00015433782,0.0002632761],"domain_scores_gemma":[0.99662447,0.00016052545,0.00015875947,0.0028325103,0.00012946702,0.00009428652],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013788394,0.0002465298,0.00030523475,0.00024443574,0.0008517306,0.00012150544,0.0009070226,0.0001582381,0.000008889178],"category_scores_gemma":[0.000008854652,0.00026239172,0.00005774952,0.00025903623,0.00018759369,0.00055510976,0.00000482676,0.00044735678,0.000036389618],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033368273,0.00013338297,0.00016808309,0.00008285383,0.000054041528,0.000001910639,0.0006877277,0.99259233,0.0005467191,0.0005227585,0.000038201615,0.005138631],"study_design_scores_gemma":[0.0016928534,0.000041768133,0.0005833849,0.00061728596,0.000057864374,0.000018903078,0.000720901,0.9900259,0.005282236,0.000010707021,0.00049872673,0.0004494633],"about_ca_topic_score_codex":0.0002668955,"about_ca_topic_score_gemma":0.0043587084,"teacher_disagreement_score":0.9694582,"about_ca_system_score_codex":0.00043387944,"about_ca_system_score_gemma":0.000031247324,"threshold_uncertainty_score":0.99998283},"labels":[],"label_agreement":null},{"id":"W2596456786","doi":"10.1109/tvt.2017.2682236","title":"QoE Driven Decentralized Spectrum Sharing in 5G Networks: Potential Game Approach","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Mathematical optimization; Nash equilibrium; Scheduling (production processes); Potential game; Optimization problem; Iterative method; Overhead (engineering); Game theory; Graph; Distributed computing; Algorithm; Mathematics; Theoretical computer science","score_opus":0.007813326133449896,"score_gpt":0.2176611976749012,"score_spread":0.2098478715414513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596456786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043106437,0.00016599847,0.9542366,0.00013579913,0.0006872061,0.00043041978,0.0000061059286,0.00092168385,0.0003097188],"genre_scores_gemma":[0.99318695,0.00031274502,0.0061775874,0.000008080675,0.00003942715,0.00013712732,0.0000044666917,0.00007348383,0.000060140315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986407,0.000017292748,0.00033804888,0.00040229099,0.000108628716,0.0004930369],"domain_scores_gemma":[0.9989054,0.0000083496225,0.00008313278,0.0009211539,0.000023923089,0.000058030095],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008635386,0.00024921447,0.00033600954,0.00046172284,0.00021167334,0.00006648501,0.00054867775,0.00045469895,0.000025285355],"category_scores_gemma":[0.000006668716,0.00028581405,0.00009712038,0.00028675163,0.00011364983,0.0002622962,0.000004186936,0.00062304724,0.00002499549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013595535,0.000057503283,0.00011698943,0.000021944174,0.000050934686,0.000035381054,0.000027702903,0.9923088,0.0026324748,0.00022751553,0.0000048040833,0.004502334],"study_design_scores_gemma":[0.0010419919,0.000031828473,0.00021096475,0.00006616524,0.000030285459,0.00005968345,0.000044284745,0.98398054,0.01375081,0.00037491287,0.00011508677,0.00029343856],"about_ca_topic_score_codex":0.000030216775,"about_ca_topic_score_gemma":0.00012452643,"teacher_disagreement_score":0.9500805,"about_ca_system_score_codex":0.0002029543,"about_ca_system_score_gemma":0.000009893798,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W2598214836","doi":"","title":"Downlink Transmission Strategies for Cloud Radio-Access Networks","year":2015,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Telecommunications link; Cloud computing; Computer science; Transmission (telecommunications); Computer network; Telecommunications; Operating system","score_opus":0.02068612142574971,"score_gpt":0.33202569934010584,"score_spread":0.3113395779143561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598214836","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":[0.0014333993,0.0064064306,0.9722304,0.000016689553,0.0031248599,0.0009992832,0.000012307841,0.0007030738,0.015073555],"genre_scores_gemma":[0.7533684,0.007285111,0.090896726,0.00006958385,0.011326976,0.0027444647,0.033053778,0.0024757844,0.09877922],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989472,0.000019396153,0.00030834592,0.0002710843,0.00014418366,0.00030976412],"domain_scores_gemma":[0.9992953,0.0000442784,0.000111371126,0.00025683202,0.00017504334,0.000117206015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012421339,0.00035556412,0.00040105404,0.000105598105,0.00006606615,0.00013987631,0.0002557016,0.0004892681,0.000036130597],"category_scores_gemma":[0.000012835379,0.0003695053,0.00009556687,0.00018385849,0.000009386039,0.00032480643,0.0000054016227,0.00026662785,0.0000071996383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006689428,0.0000064144083,6.117912e-7,0.0006968859,0.00004139939,0.000001788104,0.0021868611,0.97564733,0.00036627482,0.00021928833,0.013665359,0.007100906],"study_design_scores_gemma":[0.0011526288,0.00008249366,0.000012252153,0.0007790822,0.00015673037,0.0000063748766,0.0069936537,0.9294304,0.0010864026,0.0019226948,0.057277985,0.0010992747],"about_ca_topic_score_codex":0.000022760616,"about_ca_topic_score_gemma":0.000077425735,"teacher_disagreement_score":0.88133365,"about_ca_system_score_codex":0.00014416405,"about_ca_system_score_gemma":0.00010180887,"threshold_uncertainty_score":0.99987566},"labels":[],"label_agreement":null},{"id":"W2599926217","doi":"10.1109/vtcfall.2016.7881184","title":"Quantifying the Regularity of Perturbed Triangular Lattices Using CoV-Based Metrics for Modeling the Locations of Base Stations in HetNets","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Gaussian; Base station; Matching (statistics); Computer science; Measure (data warehouse); Base (topology); Lattice (music); Algorithm; Point (geometry); Mathematical optimization; Mathematics; Data mining; Applied mathematics; Statistics; Geometry; Mathematical analysis; Telecommunications; Physics","score_opus":0.10800094974575822,"score_gpt":0.3204475232275496,"score_spread":0.21244657348179138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599926217","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":[0.05867219,0.00032080186,0.94010437,0.0001725649,0.00006590567,0.0005579846,0.000033078395,0.0000365802,0.00003650366],"genre_scores_gemma":[0.9167869,0.000012068746,0.08310462,0.000012343769,0.000011604663,0.00003606631,0.0000060035495,0.00001975545,0.000010636383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991769,0.0000616608,0.0004221664,0.000101481564,0.00011183021,0.00012591592],"domain_scores_gemma":[0.99841493,0.0009596882,0.000106566345,0.0002944577,0.00020990618,0.000014465318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056247675,0.000087315166,0.00015969331,0.0001755022,0.000073440446,0.000010068063,0.00013207145,0.000046227135,0.000005260083],"category_scores_gemma":[0.0005668952,0.00004788081,0.000054019656,0.0005197811,0.000038094015,0.0001700613,0.000010510845,0.000043740256,2.1657242e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008122228,0.000014308284,0.00015115814,0.00008278736,0.000014502363,4.9708053e-8,0.000182056,0.9736783,0.02323802,0.0022445207,0.0000054410257,0.00038074964],"study_design_scores_gemma":[0.0005422838,0.0000083563955,0.000022049333,0.00009103745,0.000029419485,2.9640867e-7,0.00039518267,0.97795993,0.02064436,0.00022566202,0.000016021946,0.00006538071],"about_ca_topic_score_codex":0.00011430085,"about_ca_topic_score_gemma":0.0003354313,"teacher_disagreement_score":0.8581147,"about_ca_system_score_codex":0.00007015538,"about_ca_system_score_gemma":0.000048288144,"threshold_uncertainty_score":0.19525228},"labels":[],"label_agreement":null},{"id":"W2600630834","doi":"10.1109/vtcfall.2016.7881956","title":"Uplink Cooperative Transmission for Machine-Type Communication Traffic in Cellular System","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Telecommunications link; Computer science; Computer network; User equipment; Cellular network; Transmission (telecommunications); Scheduling (production processes); Fading; Relay; Spectral efficiency; Data transmission; Stochastic geometry; Base station; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.009714115172098066,"score_gpt":0.22094603092524887,"score_spread":0.2112319157531508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600630834","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":[0.011529584,0.0007780733,0.98558986,0.000065383574,0.00010815132,0.00061947905,0.0000049562486,0.00038931123,0.0009152228],"genre_scores_gemma":[0.9771061,0.00010946498,0.022249728,0.000004359962,0.000015872532,0.00006984836,0.000029730327,0.00003755494,0.00037734493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994065,0.00003406155,0.00026216038,0.000121514924,0.000036870642,0.00013887377],"domain_scores_gemma":[0.99955946,0.00009410915,0.000019712525,0.00022354662,0.00006519616,0.000037955746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013938612,0.000114340124,0.00015273968,0.0000714164,0.00004136993,0.000009881156,0.00011064262,0.00008187453,0.000019284045],"category_scores_gemma":[0.000012920617,0.00008027967,0.000025246865,0.00014353797,0.000011214684,0.00017511312,0.0000062326594,0.00004892139,0.000019453544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002954912,0.000014972612,0.00001764254,0.00016152498,0.000011242301,6.272599e-7,0.00036281886,0.922792,0.06039187,0.0026894282,0.000161401,0.01336689],"study_design_scores_gemma":[0.0009140394,0.000032086402,0.000005360807,0.00027287146,0.0000054829025,0.000002043414,0.000117362986,0.972976,0.024688523,0.000019675248,0.0008144151,0.00015211214],"about_ca_topic_score_codex":0.000007386244,"about_ca_topic_score_gemma":0.00003406699,"teacher_disagreement_score":0.9655765,"about_ca_system_score_codex":0.0001601774,"about_ca_system_score_gemma":0.000009917441,"threshold_uncertainty_score":0.32737097},"labels":[],"label_agreement":null},{"id":"W2601125325","doi":"10.1109/twc.2017.2690280","title":"Distributed Interference and Delay Aware Design for D2D Communication in Large Wireless Networks With Adaptive Interference Estimation","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Higher Education Discipline Innovation Project; China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Interference (communication); Fading; Throughput; Wireless network; Wireless; Resource allocation; Power control; Stochastic geometry; Radio resource management; Channel (broadcasting); Distributed computing; Power (physics); Computer network; Telecommunications; Mathematics; Statistics","score_opus":0.03405077265421503,"score_gpt":0.27215249826460725,"score_spread":0.23810172561039222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601125325","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":[0.005025699,0.00016087988,0.9929302,0.00017177673,0.00009654364,0.0011110434,0.0002005819,0.00023937007,0.00006391877],"genre_scores_gemma":[0.9520842,0.0010137308,0.045546558,0.000011156956,0.000006385847,0.0011305653,0.00013008558,0.000059441634,0.000017916933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998744,0.0001634335,0.00043582462,0.00027037787,0.000087317865,0.0002990462],"domain_scores_gemma":[0.9968023,0.0005544095,0.00020990345,0.0021410186,0.00020822338,0.000084150124],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027781393,0.0002787034,0.0003157178,0.00016582209,0.0010072392,0.00016970253,0.0010136613,0.0001659161,0.0000036174774],"category_scores_gemma":[0.000011541814,0.0002944356,0.000042773885,0.00020000797,0.00024710596,0.0007863447,0.000019746913,0.0005166734,0.0000029092098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011774545,0.00013221132,0.00007686704,0.000038565522,0.000054061027,4.87662e-7,0.0006175629,0.97644824,0.000097673685,0.00066203723,0.00001556413,0.021738973],"study_design_scores_gemma":[0.0010021144,0.00011685782,0.00025373435,0.00066754856,0.0000427499,0.0000077191235,0.0003692703,0.99613637,0.00095310534,0.0001343667,0.000011876371,0.00030430272],"about_ca_topic_score_codex":0.00008116352,"about_ca_topic_score_gemma":0.0027236824,"teacher_disagreement_score":0.94738364,"about_ca_system_score_codex":0.00022567144,"about_ca_system_score_gemma":0.00003813383,"threshold_uncertainty_score":0.99995077},"labels":[],"label_agreement":null},{"id":"W2601455897","doi":"10.1109/jcn.2017.000007","title":"Competition-based distributed BS power activation and user scheduling algorithm","year":2017,"lang":"en","type":"article","venue":"Journal of Communications and Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Scheduling (production processes); Base station; Computer network; Throughput; Distributed computing; Cellular network; Enhanced Data Rates for GSM Evolution; Maximum throughput scheduling; Algorithm; Fair-share scheduling; Quality of service; Round-robin scheduling; Telecommunications; Mathematical optimization; Wireless","score_opus":0.012057179836194299,"score_gpt":0.2514851949822896,"score_spread":0.2394280151460953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601455897","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":[0.0059851054,0.001543976,0.9917174,0.00038133844,0.00009650532,0.00006232405,0.0000052792197,0.000019370189,0.00018867818],"genre_scores_gemma":[0.9096658,0.0015260816,0.08870495,0.000016532937,0.000050948664,0.0000026965101,0.000017397584,0.000011353595,0.0000042034812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999569,0.000028475433,0.0002365689,0.000040283387,0.000051819607,0.000073880525],"domain_scores_gemma":[0.9990177,0.00011696307,0.00023628533,0.00043154447,0.0001463563,0.000051137282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740217,0.000069900096,0.00012839936,0.0000477131,0.00035327073,0.00011490625,0.00020752024,0.000057959638,0.000003976981],"category_scores_gemma":[0.000032242726,0.00006751904,0.000022677938,0.000041136744,0.00007125809,0.00037265092,0.000045639863,0.00021272482,2.229839e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012489758,0.000039551403,0.0023547404,0.000018606213,0.00007064423,0.0000011123271,0.000084829815,0.9710077,0.0003362215,0.0015350734,0.00017035095,0.024368692],"study_design_scores_gemma":[0.00044987103,0.000024564712,0.004395199,0.00019590338,0.000016374272,0.000012283797,0.000059493002,0.9916351,0.00006520245,0.00011485329,0.0029496201,0.00008155417],"about_ca_topic_score_codex":0.0000027653582,"about_ca_topic_score_gemma":0.000004168664,"teacher_disagreement_score":0.90368074,"about_ca_system_score_codex":0.000029051616,"about_ca_system_score_gemma":0.000010302756,"threshold_uncertainty_score":0.27533463},"labels":[],"label_agreement":null},{"id":"W2601525722","doi":"10.1109/tvt.2017.2687898","title":"Secondary User Interference Characterization for Spatially Random Underlay Networks With Massive MIMO and Power Control","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Underlay; Path loss; Rayleigh fading; MIMO; Power control; Fading; Interference (communication); Poisson point process; Computer science; Microcell; Electronic engineering; Topology (electrical circuits); Telecommunications; Computer network; Signal-to-noise ratio (imaging); Engineering; Power (physics); Mathematics; Wireless; Point process; Physics; Electrical engineering; Beamforming; Decoding methods; Statistics; Channel (broadcasting)","score_opus":0.0049597580685650745,"score_gpt":0.20051321916471798,"score_spread":0.1955534610961529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601525722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026624938,0.000052024156,0.97125727,0.00031423374,0.00041211533,0.00084005843,0.00004930077,0.00040163426,0.00004843986],"genre_scores_gemma":[0.9957414,0.00006742977,0.0037480274,0.000036029684,0.000023136714,0.00024085805,0.000012609001,0.00005726696,0.000073217656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922407,0.000016192223,0.0002116475,0.00026435926,0.000054969034,0.00022877858],"domain_scores_gemma":[0.99925643,0.00004626144,0.00011353355,0.00043615478,0.000105660685,0.000041957937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006203515,0.0002088874,0.0002853658,0.00018776009,0.0002916733,0.000066911765,0.0001732364,0.00030136833,0.000015691116],"category_scores_gemma":[0.000008827265,0.00019503303,0.0000426909,0.00007670755,0.00014116397,0.0002877841,0.0000015354286,0.00028934126,0.0000030160575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002965811,0.000033830183,0.000070662194,0.000052566793,0.00022008122,0.000009751876,0.00006838286,0.9544156,0.02537008,0.00020129012,0.00000750799,0.01925364],"study_design_scores_gemma":[0.00906018,0.00056662865,0.00034230252,0.0002443373,0.00015895987,0.000060607228,0.00008831467,0.9456533,0.04243751,0.00014681673,0.0006668378,0.0005742081],"about_ca_topic_score_codex":0.0000032702933,"about_ca_topic_score_gemma":0.000070849186,"teacher_disagreement_score":0.9691165,"about_ca_system_score_codex":0.000052498843,"about_ca_system_score_gemma":0.000017443888,"threshold_uncertainty_score":0.7953216},"labels":[],"label_agreement":null},{"id":"W2601586594","doi":"10.1109/vtcfall.2016.7881194","title":"Regular and Static Sector-Based Cell Switch-Off Patterns","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"Interference (communication); Computer science; Telecommunications link; Grid cell; Grid; Set (abstract data type); Computer network; Distributed computing; Mathematics","score_opus":0.005687132109985568,"score_gpt":0.17967120514007492,"score_spread":0.17398407303008936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601586594","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":[0.08081862,0.00008953867,0.91747797,0.00003833366,0.00009425261,0.000117191725,0.0000072803246,0.00027896382,0.0010778485],"genre_scores_gemma":[0.99007654,0.000030426821,0.008926842,0.000029754226,0.00002741874,0.000012284133,0.0000031234283,0.000033614244,0.00085999066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995725,0.0000109671855,0.00011955657,0.00010952528,0.00005461747,0.00013280888],"domain_scores_gemma":[0.99971265,0.000047731817,0.000016641941,0.00015651052,0.000015991365,0.00005050022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004217539,0.00009194096,0.00008754814,0.000041372976,0.000014995751,0.0000109172115,0.000037824262,0.00003502206,0.00014774544],"category_scores_gemma":[0.0000063236953,0.00006504301,0.000012659823,0.00004140558,0.000008162011,0.00011137986,0.0000071774894,0.000023267807,0.000028273387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019690648,0.00004140141,0.015489546,0.0011465339,0.00005407745,0.000025803985,0.00039760562,0.680951,0.26043817,0.0006727911,0.003560839,0.03720253],"study_design_scores_gemma":[0.0047752624,0.00016175096,0.002209836,0.00051014643,0.000042961474,0.00001091392,0.00024606226,0.519193,0.46343994,0.0009400189,0.0072125765,0.0012575611],"about_ca_topic_score_codex":0.000006183623,"about_ca_topic_score_gemma":0.000015018727,"teacher_disagreement_score":0.90925795,"about_ca_system_score_codex":0.000040135008,"about_ca_system_score_gemma":0.0000051370944,"threshold_uncertainty_score":0.2652377},"labels":[],"label_agreement":null},{"id":"W2602117107","doi":"10.1109/tvt.2017.2689504","title":"Joint Traffic Scheduling and Resource Allocations for Traffic Offloading With Secrecy Provisioning","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Scheduling (production processes); Computer science; Provisioning; Computer network; Joint (building); Secrecy; Distributed computing; Engineering; Computer security","score_opus":0.011861969367420263,"score_gpt":0.22516581607981406,"score_spread":0.2133038467123938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602117107","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26387575,0.00014635781,0.73411286,0.00029783425,0.000112206435,0.0005794249,0.000008053805,0.0008250686,0.000042447584],"genre_scores_gemma":[0.94557935,0.000044013326,0.053848375,0.000009693261,0.000025974858,0.00034707112,0.0000046634277,0.000079801815,0.00006108648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896544,0.000012207084,0.000265953,0.0003536525,0.00009237636,0.0003103532],"domain_scores_gemma":[0.9991391,0.0000419284,0.000095606956,0.00057948777,0.00007937935,0.00006450534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012604713,0.00022857367,0.00026494963,0.00040934567,0.00087786716,0.00008594046,0.00019800864,0.00027288165,0.000003064427],"category_scores_gemma":[0.00002413989,0.00022770431,0.000056255434,0.00018283179,0.00015249522,0.00024535926,0.00000200356,0.00035535978,0.0000046798914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000133538815,0.000025349136,0.0000020725788,0.000072906245,0.0000620186,0.0000032830874,0.00012059226,0.94097143,0.007897512,0.00015612211,0.000003738077,0.05067159],"study_design_scores_gemma":[0.0010032045,0.00018907982,0.000007826503,0.00029781112,0.00008022276,0.0000867391,0.0004112687,0.95792305,0.038928892,0.00005456633,0.00068662746,0.00033069387],"about_ca_topic_score_codex":0.0000019137128,"about_ca_topic_score_gemma":0.00004805136,"teacher_disagreement_score":0.68170357,"about_ca_system_score_codex":0.00009392813,"about_ca_system_score_gemma":0.000024495497,"threshold_uncertainty_score":0.9285512},"labels":[],"label_agreement":null},{"id":"W2602655753","doi":"10.1109/vtcfall.2016.7880960","title":"Disaster Management and Response for Modern Cellular Networks Using Flow-Based Multi-Hop Device-to-Device Communications","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Wireless; Base station; Routing (electronic design automation); Throughput; Cellular network; Routing protocol; Wireless broadband; Ant colony optimization algorithms; Wireless network; Telecommunications","score_opus":0.037857324406604546,"score_gpt":0.273311145705937,"score_spread":0.23545382129933246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602655753","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":[0.009580595,0.00031453746,0.98868406,0.00013166934,0.0000863392,0.0008407958,0.000012560179,0.00022122588,0.00012819246],"genre_scores_gemma":[0.52264476,0.000014751772,0.4767195,0.000076323675,0.000016967562,0.0000990137,0.000007860179,0.00004519912,0.00037560586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992483,0.000053701406,0.00023580108,0.0001846068,0.000055928922,0.00022164306],"domain_scores_gemma":[0.9989547,0.00022718859,0.000029976592,0.0006448201,0.000059242968,0.00008405417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020669478,0.00014900068,0.0001369454,0.000095191026,0.00010234923,0.000030067979,0.00017810428,0.000059200633,0.0000068183112],"category_scores_gemma":[0.000021333492,0.00012311696,0.000029982439,0.00012106006,0.000022351704,0.0001627749,0.000086413645,0.00003780619,0.000007718832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063080624,0.000014267251,0.000053418007,0.00005792205,0.000025188272,5.470844e-7,0.00014478662,0.982676,0.011034517,0.000058740497,0.000051697258,0.005819785],"study_design_scores_gemma":[0.0008803178,0.000011897888,0.000039819763,0.00014317899,0.000027010134,5.301979e-7,0.00008277341,0.9959755,0.0007846788,0.000015305604,0.0018503197,0.00018866043],"about_ca_topic_score_codex":0.000003667468,"about_ca_topic_score_gemma":0.000044198216,"teacher_disagreement_score":0.5130642,"about_ca_system_score_codex":0.00012403638,"about_ca_system_score_gemma":0.000005629043,"threshold_uncertainty_score":0.5020564},"labels":[],"label_agreement":null},{"id":"W2603128418","doi":"10.1109/vtcfall.2016.7880987","title":"Energy Efficient Pilot and Data Power Allocation in Multi-Cell Multi-User Massive MIMO Communication Systems","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Computer science; MIMO; Minimum mean square error; Transmitter power output; Signal-to-interference-plus-noise ratio; Transmission (telecommunications); Signal-to-noise ratio (imaging); Channel (broadcasting); Real-time computing; Interference (communication); Electronic engineering; Power (physics); Computer network; Telecommunications; Transmitter; Engineering; Mathematics; Statistics","score_opus":0.03103664217819605,"score_gpt":0.25747709716346817,"score_spread":0.22644045498527213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603128418","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":[0.00553643,0.0016963412,0.9914756,0.00006047619,0.00018082566,0.00034281402,0.000024504287,0.00020323913,0.0004798128],"genre_scores_gemma":[0.974077,0.00034268512,0.024117818,0.000010996286,0.00000998122,0.00005984422,0.00007504942,0.00004268222,0.0012639777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903095,0.00007594381,0.00034773906,0.00027264038,0.00008938057,0.00018331897],"domain_scores_gemma":[0.9987577,0.000103355764,0.00007025595,0.0009419802,0.00007039338,0.000056282413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020351651,0.00015440471,0.00015842087,0.00012640415,0.00003704657,0.000031904612,0.00029474992,0.00007378246,0.00001010995],"category_scores_gemma":[0.000036931622,0.00012140236,0.000008501816,0.00013920995,0.000029355579,0.0003204361,0.00014427525,0.000055298464,0.00002241209],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012440307,0.00019333194,0.00040741233,0.00006774414,0.000017692833,0.0000014085523,0.00024193445,0.95254046,0.042470727,0.0025692466,0.00037913513,0.0010984465],"study_design_scores_gemma":[0.001333775,0.00001915338,0.00026082588,0.00013991531,0.0000055055502,0.0000020983005,0.0002458619,0.99434006,0.0021588816,0.000002287046,0.0012907769,0.00020086546],"about_ca_topic_score_codex":0.00026897847,"about_ca_topic_score_gemma":0.00039575962,"teacher_disagreement_score":0.96854055,"about_ca_system_score_codex":0.00014020737,"about_ca_system_score_gemma":0.000010249476,"threshold_uncertainty_score":0.49506447},"labels":[],"label_agreement":null},{"id":"W2604831012","doi":"10.1109/lwc.2017.2690677","title":"Cell Switch-Off Algorithms for Spatially Irregular Base Station Deployments","year":2017,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Algorithm; Software deployment; Grid; Interference (communication); Cellular network; Poisson point process; Process (computing); Point process; Stochastic geometry; Computer network; Mathematics","score_opus":0.02997745173238225,"score_gpt":0.27332216981091384,"score_spread":0.24334471807853159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604831012","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":[0.04821568,0.00025284372,0.94792944,0.0013287293,0.00064125477,0.0008391288,0.00009717588,0.000362298,0.00033346406],"genre_scores_gemma":[0.8747242,0.00029090082,0.12380373,0.00018369542,0.000097982804,0.00047877125,0.00022697262,0.00010585471,0.00008786103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989317,0.000058168956,0.00037456758,0.00021366666,0.0001415426,0.00028035376],"domain_scores_gemma":[0.99668497,0.00012497955,0.00022689957,0.0027655463,0.000118185955,0.00007940681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000195636,0.00021171602,0.00020964895,0.00010826317,0.0007313952,0.0001643245,0.001255123,0.00008253918,0.000003842299],"category_scores_gemma":[0.000026999865,0.00025474906,0.00007614562,0.00007032991,0.00010957123,0.00059946196,0.000086830616,0.00016267707,0.000029408851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018177263,0.00013658372,0.0005859745,0.00022044017,0.00011630346,0.000003173811,0.00086649344,0.684563,0.25603446,0.00030089926,0.008712264,0.048442252],"study_design_scores_gemma":[0.001194079,0.000019237226,0.00034119288,0.0000935766,0.000048047117,0.0000023348557,0.00006507165,0.96153927,0.030915752,0.000064769345,0.005288848,0.00042779444],"about_ca_topic_score_codex":0.000082098675,"about_ca_topic_score_gemma":0.00012229707,"teacher_disagreement_score":0.8265086,"about_ca_system_score_codex":0.00017004563,"about_ca_system_score_gemma":0.000021238837,"threshold_uncertainty_score":0.99999046},"labels":[],"label_agreement":null},{"id":"W2605375408","doi":"10.47339/ephj.2014.166","title":"Wi-Fi radiation levels at BCIT","year":2014,"lang":"en","type":"article","venue":"BCIT Environmental Public Health Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"British Columbia Institute of Technology","keywords":"The Internet; Reading (process); Reliability (semiconductor); Computer science; Measure (data warehouse); Statistics; Telecommunications; Electrical engineering; Mathematics; Engineering; World Wide Web; Physics; Data mining; Political science; Law","score_opus":0.019347475024848862,"score_gpt":0.22850613010339355,"score_spread":0.2091586550785447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605375408","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":[0.121322766,0.0015440253,0.8693362,0.0021467085,0.0018297551,0.0004963288,0.00006352299,0.00031168852,0.0029490257],"genre_scores_gemma":[0.994558,0.00042612755,0.0033226996,0.0005819177,0.000534689,0.000010391129,0.00005528058,0.0000674657,0.00044343082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982276,0.00013734361,0.00055365777,0.00018432825,0.0003281448,0.00056893984],"domain_scores_gemma":[0.99899995,0.000040735133,0.00020254262,0.0002104842,0.0000064570313,0.0005398115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076529605,0.00019736413,0.00023203428,0.0001417205,0.00034782544,0.00007868218,0.00016334068,0.000098929275,0.0006631211],"category_scores_gemma":[0.000041146643,0.00020928522,0.00006530467,0.0001015668,0.000035535035,0.0007473557,0.00004154052,0.0003070054,0.00035474525],"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":[0.000016275886,0.0001592082,0.010302233,0.00019362949,0.0001232855,0.000010920967,0.0015460433,0.5044554,0.0063716723,0.00035466408,0.03261143,0.44385526],"study_design_scores_gemma":[0.0032021254,0.00027474176,0.0551029,0.000079789716,0.000013129886,0.0008871416,0.00031643917,0.16894005,0.0007829139,0.00032020564,0.769203,0.00087752845],"about_ca_topic_score_codex":0.0000038840426,"about_ca_topic_score_gemma":0.0000042392453,"teacher_disagreement_score":0.8732352,"about_ca_system_score_codex":0.0021659194,"about_ca_system_score_gemma":0.00003900405,"threshold_uncertainty_score":0.8534404},"labels":[],"label_agreement":null},{"id":"W2606308235","doi":"10.1109/access.2017.2727550","title":"5G Cellular User Equipment: From Theory to Practical Hardware Design","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":236,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Jet Propulsion Laboratory; Government of Jiangsu Province; Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China; Natural Sciences and Engineering Research Council of Canada; Georgia Institute of Technology; National Aeronautics and Space Administration","keywords":"MIMO; Computer science; PHY; Physical layer; User equipment; Wireless; Computer architecture; Cellular architecture; Implementation; Computer hardware; Electronic engineering; Channel (broadcasting); Computer network; Telecommunications; Base station; Engineering","score_opus":0.058537241790279276,"score_gpt":0.3264969880009264,"score_spread":0.2679597462106471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606308235","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":[0.0071441974,0.00007717154,0.988492,0.00008213378,0.0013239452,0.00036650518,0.000015854577,0.00024353246,0.002254673],"genre_scores_gemma":[0.956646,0.000014896891,0.04220664,0.00008220504,0.0003898459,0.00007928161,0.000009378652,0.00007194214,0.00049980223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991513,0.000051644995,0.00018694557,0.0002303637,0.00013739342,0.00024235077],"domain_scores_gemma":[0.9988865,0.00014026757,0.00007002066,0.00073268416,0.00005338377,0.00011712117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018823493,0.00015677074,0.00017048606,0.000047983856,0.00016950784,0.00038134275,0.00055381295,0.00009269971,0.00014079045],"category_scores_gemma":[0.00020028418,0.00015778274,0.000031638825,0.00004659783,0.000021212938,0.0012683138,0.00006920041,0.00012434053,0.00029539395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006907533,0.000033523684,0.00057616,0.000052659776,0.00010573072,0.00009342417,0.00051851594,0.93619996,0.0464193,0.00070395455,0.010445381,0.004782299],"study_design_scores_gemma":[0.0012362195,0.000057556546,0.0011394187,0.0003026643,0.00011120954,0.0000072513576,0.0001210742,0.08172273,0.8776507,0.007232978,0.029251661,0.0011665592],"about_ca_topic_score_codex":0.000028653489,"about_ca_topic_score_gemma":0.000011695295,"teacher_disagreement_score":0.9495018,"about_ca_system_score_codex":0.00007566187,"about_ca_system_score_gemma":0.000016520862,"threshold_uncertainty_score":0.6434193},"labels":[],"label_agreement":null},{"id":"W2608827279","doi":"10.1109/tsp.2017.2768043","title":"Low-Complexity Robust MISO Downlink Precoder Design With Per-Antenna Power Constraints","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Beamforming; Precoding; Computational complexity theory; Channel state information; Computer science; Maximization; Base station; Mathematical optimization; Robustness (evolution); Offset (computer science); Transmitter power output; Signal-to-noise ratio (imaging); MIMO; Control theory (sociology); Channel (broadcasting); Algorithm; Mathematics; Wireless; Transmitter; Telecommunications","score_opus":0.040604230707624575,"score_gpt":0.25034251034663246,"score_spread":0.20973827963900787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608827279","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":[0.0018323646,0.00006564212,0.9950231,0.000044971814,0.00023412194,0.00043519275,0.000025403684,0.00048119805,0.0018580473],"genre_scores_gemma":[0.92834884,0.000009530947,0.07123448,0.00002519563,0.000046584533,0.00005616172,0.000002555451,0.00008642479,0.00019022514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862593,0.000038017864,0.00032793678,0.00037546217,0.0002330593,0.00039961294],"domain_scores_gemma":[0.99909276,0.00005024987,0.00014331909,0.00039386924,0.00018314944,0.00013662966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016510482,0.0003337783,0.00029764947,0.0001299934,0.00089458725,0.00030921577,0.00028109393,0.0001449043,0.0003503778],"category_scores_gemma":[0.000004465377,0.00030784015,0.00006866358,0.000104929495,0.00034414715,0.00096949685,0.000001203132,0.00040181555,0.000055956898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085094165,0.00007652811,0.0000079056135,0.0001592939,0.000045357927,0.000010501033,0.000415572,0.96266454,0.009901944,0.0000036201593,0.000015543119,0.026614074],"study_design_scores_gemma":[0.0014553813,0.00017296211,0.0000709772,0.0009384422,0.000091732036,0.000118319665,0.00031827984,0.92716455,0.068709545,0.00011584136,0.00003868602,0.00080530497],"about_ca_topic_score_codex":0.0000061829064,"about_ca_topic_score_gemma":0.000021806602,"teacher_disagreement_score":0.9265165,"about_ca_system_score_codex":0.00012899212,"about_ca_system_score_gemma":0.000086496715,"threshold_uncertainty_score":0.99993736},"labels":[],"label_agreement":null},{"id":"W2608864017","doi":"10.1017/9781316771655.022","title":"Scheduling for Millimeter Wave Networks","year":2017,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Victoria","funders":"","keywords":"Extremely high frequency; Wireless; Millimeter; Radio spectrum; Telecommunications; Scheduling (production processes); Computer science; High data rate; Frequency band; Computer network; Electronic engineering; Engineering; Physics; Bandwidth (computing); Optics","score_opus":0.025151389394026016,"score_gpt":0.19686219283169823,"score_spread":0.1717108034376722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608864017","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000023928803,0.00028708164,0.43155745,9.23534e-7,0.00050520874,0.0004682378,0.00012688056,0.00023373,0.5668181],"genre_scores_gemma":[0.0013163678,0.0001925274,0.006873476,0.00000913762,0.00041833048,0.0000033928143,0.00014639269,0.00016148822,0.9908789],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990301,0.0000074913123,0.00019054979,0.00036388976,0.00009589923,0.00031206178],"domain_scores_gemma":[0.9988278,0.000060923674,0.00017628641,0.00066604593,0.00014751033,0.00012141051],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000063938205,0.00039281213,0.0004278894,0.00012796602,0.00023826293,0.000058007325,0.00033447836,0.00051736296,0.0000015588674],"category_scores_gemma":[0.00000998469,0.0005127853,0.00022175506,0.0000022383254,0.00008701697,0.00014152136,0.000121641686,0.00034032614,0.000004735786],"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":[0.00013347178,0.0000056359904,6.9467484e-7,0.0008698733,0.000886164,0.00020354097,0.00007259869,0.3652461,0.00014296695,0.59505516,0.028182106,0.009201694],"study_design_scores_gemma":[0.00060753286,0.000022587872,4.738236e-7,0.00036949574,0.00021834833,0.000009702769,0.000006894861,0.21408106,0.0002163136,0.000008688074,0.7838322,0.00062668836],"about_ca_topic_score_codex":0.000007750288,"about_ca_topic_score_gemma":0.0000015004484,"teacher_disagreement_score":0.7556501,"about_ca_system_score_codex":0.00023124395,"about_ca_system_score_gemma":0.000022435177,"threshold_uncertainty_score":0.9997324},"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":"W2609894571","doi":"10.48550/arxiv.2004.04683","title":"On the Factors Influencing the Choices of Weekly Telecommuting Frequencies of Post-secondary Students in Toronto","year":2020,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Telecommuting; Psychology; Work (physics); Engineering","score_opus":0.02964203387201078,"score_gpt":0.18472423710199978,"score_spread":0.155082203229989,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609894571","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":[0.9947969,0.00011210714,0.0026471508,0.000018895827,0.00004239306,0.00017735318,0.000008562555,0.000044270557,0.0021523922],"genre_scores_gemma":[0.9998496,0.00003525907,0.000032117696,0.00004033498,0.000008438885,3.4403018e-7,0.0000017705245,0.000013113704,0.000018988432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994527,0.00005467133,0.00018359917,0.00012673174,0.00005609255,0.00012618702],"domain_scores_gemma":[0.99935496,0.00025374044,0.000103493505,0.00020909117,0.000050080595,0.000028626204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104138984,0.000108457214,0.00015341523,0.00003490061,0.000049955466,0.000008453691,0.00044558925,0.000042663647,0.00004702102],"category_scores_gemma":[0.000087875495,0.00008155313,0.00004602047,0.00026439314,0.000047446556,0.00028380274,0.00007081609,0.0001456384,0.0000023067466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015788357,0.000015213286,0.0874665,0.00007579329,0.000049289883,0.0000036922895,0.0042333417,0.89927834,0.005565872,0.003239996,0.000011274788,0.000044902168],"study_design_scores_gemma":[0.0028698617,0.00069998845,0.43964392,0.0007578327,0.00015471134,0.0000020792766,0.17122446,0.34053406,0.04154339,0.0012036122,0.00019692298,0.0011691651],"about_ca_topic_score_codex":0.0012323135,"about_ca_topic_score_gemma":0.0010416238,"teacher_disagreement_score":0.5587443,"about_ca_system_score_codex":0.0001596425,"about_ca_system_score_gemma":0.000017960901,"threshold_uncertainty_score":0.33256403},"labels":[],"label_agreement":null},{"id":"W2612383411","doi":"10.1109/wcnc.2017.7925544","title":"Queue-Aware Small Cell Activation for Energy Efficiency in Two-Tier Heterogeneous Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Network packet; Computer science; Heterogeneous network; Base station; Energy consumption; Computer network; Throughput; Queue; Traffic intensity; Efficient energy use; Transmitter power output; Real-time computing; Wireless network; Wireless; Telecommunications; Channel (broadcasting); Engineering; Transmitter; Electrical engineering","score_opus":0.011513556981237075,"score_gpt":0.23153900277277073,"score_spread":0.22002544579153366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612383411","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":[0.011182317,0.00008057543,0.9848692,0.000011415267,0.0002981841,0.000240974,0.0000015434559,0.00015749015,0.00315829],"genre_scores_gemma":[0.99388266,0.000021428343,0.0051747393,0.00002742912,0.000106000436,0.00009210235,0.000020653062,0.000045394165,0.00062958675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993394,0.000009287694,0.00019567298,0.00017278925,0.000043480137,0.00023937829],"domain_scores_gemma":[0.9994778,0.00003733225,0.00006651666,0.0003376062,0.00004231788,0.0000384235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062729174,0.00013154895,0.00013475772,0.00006399607,0.000105029765,0.000055566357,0.00016999793,0.00007438597,0.000010098333],"category_scores_gemma":[0.000016553015,0.00013574533,0.00003642263,0.000046931647,0.00001108324,0.00018222605,0.000022448377,0.000054682827,0.0000023169825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059764784,0.000011647038,0.00018048406,0.000023672592,0.0000032934763,8.06531e-7,0.000036636317,0.99562675,0.000936128,0.00016988363,0.00005602173,0.0029486783],"study_design_scores_gemma":[0.0005302334,0.00001577534,0.000042344065,0.000025590782,0.0000027989934,0.000001000525,0.000011594825,0.9771281,0.021378675,0.000057183963,0.000644767,0.0001619694],"about_ca_topic_score_codex":0.00017311543,"about_ca_topic_score_gemma":0.0006143784,"teacher_disagreement_score":0.98270035,"about_ca_system_score_codex":0.000096128555,"about_ca_system_score_gemma":0.000007985624,"threshold_uncertainty_score":0.55355334},"labels":[],"label_agreement":null},{"id":"W2612649166","doi":"10.1109/wcnc.2017.7925954","title":"Dynamic Allocation of Backhaul Resources for Distributed Interference Subtraction","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Decoding methods; Scheduling (production processes); Distributed computing; Telecommunications; Base station; Mathematical optimization","score_opus":0.01194629178806588,"score_gpt":0.2560008861997622,"score_spread":0.2440545944116963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2612649166","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":[0.048058335,0.000022668579,0.9499847,0.00002450462,0.0001839826,0.00018535051,0.000026781223,0.00010606575,0.0014075786],"genre_scores_gemma":[0.9826757,0.000015707661,0.017048031,9.957663e-7,0.0000140403645,0.000025550478,0.000045788845,0.000013155627,0.00016104855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996474,0.0000031734803,0.00015752255,0.000080019316,0.000034778965,0.00007712355],"domain_scores_gemma":[0.9995375,0.000033152923,0.0000862681,0.00024961782,0.000076138436,0.000017318032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056815163,0.000061702434,0.00008752314,0.000028902125,0.00006216212,0.000026290067,0.00011773221,0.00004466748,0.00001085953],"category_scores_gemma":[0.00008639529,0.000061829975,0.000022141208,0.000021901584,0.000018973935,0.00027470337,0.000010632186,0.000030529587,0.0000038890566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060963393,0.000027707478,0.0008989539,0.000383473,0.00004967624,2.2545389e-7,0.00020299084,0.87324834,0.099991724,0.0016118232,0.00049891684,0.023025192],"study_design_scores_gemma":[0.00028802856,0.000026971882,0.0051832604,0.000067086774,0.0000098760975,0.0000012036312,0.000115557545,0.9780232,0.01539852,0.00026978677,0.0005139047,0.00010260959],"about_ca_topic_score_codex":0.000019295077,"about_ca_topic_score_gemma":0.00012451544,"teacher_disagreement_score":0.93461734,"about_ca_system_score_codex":0.000048753387,"about_ca_system_score_gemma":0.0000032394678,"threshold_uncertainty_score":0.2521353},"labels":[],"label_agreement":null},{"id":"W2613670727","doi":"10.1109/wcnc.2017.7925828","title":"On the Benefits and Implementation Costs of Multi-Cell Selection in Heterogeneous Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Heterogeneous network; Computer science; Scheduling (production processes); Telecommunications link; Heuristic; Base station; Boosting (machine learning); Distributed computing; Computer network; Cellular network; Selection (genetic algorithm); Upper and lower bounds; Focus (optics); Wireless network; Mathematical optimization; Wireless; Telecommunications; Artificial intelligence","score_opus":0.014046034431355573,"score_gpt":0.25566109959630395,"score_spread":0.24161506516494838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2613670727","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":[0.7623696,0.00023636638,0.23627788,0.000014936235,0.00010285895,0.00039935106,0.0000025727254,0.00004795421,0.00054848264],"genre_scores_gemma":[0.9990078,0.000096640986,0.0008330445,0.000007448892,0.0000112328125,0.000015761945,0.0000024829812,0.0000108217155,0.00001472227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997109,0.000009786527,0.000110235145,0.00006379144,0.000030573738,0.00007470446],"domain_scores_gemma":[0.9998101,0.000028091983,0.000044611337,0.00008964457,0.000016204058,0.000011344176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006235123,0.000053616932,0.000056057732,0.000026184889,0.00005584591,0.000018445948,0.000044079952,0.000028708071,0.000009725584],"category_scores_gemma":[0.000007925893,0.00004306771,0.000007692408,0.000025464164,0.000007386029,0.000078763376,0.000010347154,0.000038990667,9.4079405e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025239274,0.000005594834,0.0021787458,0.0000059239583,0.0000028753143,1.1299676e-7,0.00004226639,0.9877431,0.0008842021,0.00027444746,0.000016657037,0.008843562],"study_design_scores_gemma":[0.00040786504,0.000022561193,0.0031229951,0.000020085181,0.0000021759552,0.0000012518971,0.00003799168,0.9823211,0.013998984,0.000008733755,0.000004159383,0.000052087],"about_ca_topic_score_codex":0.00010173285,"about_ca_topic_score_gemma":0.0015471866,"teacher_disagreement_score":0.23663825,"about_ca_system_score_codex":0.000039051065,"about_ca_system_score_gemma":0.0000014716642,"threshold_uncertainty_score":0.17562503},"labels":[],"label_agreement":null},{"id":"W2614864174","doi":"10.1109/tcomm.2017.2706261","title":"Performance Analysis of Multiple Association in Ultra-Dense Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Base station; Backhaul (telecommunications); Computer science; Fading; Cellular network; Computation; Shadow mapping; Electronic engineering; Computer network; Context (archaeology); Channel (broadcasting); Topology (electrical circuits); Algorithm; Engineering; Electrical engineering","score_opus":0.020080083456787884,"score_gpt":0.2561134467304341,"score_spread":0.23603336327364624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614864174","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":[0.056952726,0.000083420164,0.93890953,0.000082767394,0.00025354346,0.00023442075,0.000051307503,0.00013427142,0.0032980281],"genre_scores_gemma":[0.9957189,0.0014529217,0.0025466043,0.000005175421,0.0000068701056,0.000082216495,0.00001940853,0.000019423407,0.00014850307],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992647,0.00005221718,0.00034303238,0.00010134968,0.000094910574,0.00014379703],"domain_scores_gemma":[0.9977544,0.00028282282,0.0001682119,0.0016755702,0.00008798053,0.000030990563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002027076,0.000101638514,0.00022484607,0.0003328911,0.00032084863,0.000028442619,0.00052117324,0.00010407155,0.000014115418],"category_scores_gemma":[0.00002660679,0.0001224622,0.000096050666,0.0004743491,0.00004486649,0.0003132739,0.0000018797218,0.00025762845,0.000007335604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045799047,0.00006194557,0.008562964,0.000008277087,0.00020509011,6.784771e-8,0.00019822786,0.9874879,0.0005750241,0.000009379059,0.0000094962315,0.0028770608],"study_design_scores_gemma":[0.00026165083,0.000009704185,0.020982606,0.000035588004,0.00017408212,2.2385933e-7,0.000039906477,0.9764042,0.0019227542,0.0000029853807,0.00006063155,0.00010567931],"about_ca_topic_score_codex":0.00011442787,"about_ca_topic_score_gemma":0.0029457752,"teacher_disagreement_score":0.9387661,"about_ca_system_score_codex":0.00023398035,"about_ca_system_score_gemma":0.000009694228,"threshold_uncertainty_score":0.49938634},"labels":[],"label_agreement":null},{"id":"W2617321254","doi":"10.11159/vmw17.103","title":"Performance Analysis of Path loss Prediction Models in Wireless Mobile Networks in Different Propagation Environments","year":2017,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path loss; Computer science; Wireless; Wireless network; Path (computing); Computer network; Telecommunications","score_opus":0.004936720788176845,"score_gpt":0.18156805953369023,"score_spread":0.1766313387455134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617321254","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":[0.9760293,0.0001029025,0.023303304,0.0000026002601,0.0002646124,0.00024817526,0.0000012109743,0.000016455804,0.000031440064],"genre_scores_gemma":[0.9997341,0.00011437833,0.00006263513,6.411223e-7,0.000024425308,0.00003871399,2.980263e-7,0.0000067277965,0.000018086881],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991923,0.0000029831463,0.00027169473,0.00019064208,0.00017413225,0.0001682287],"domain_scores_gemma":[0.9996848,0.00001899131,0.00012325316,0.00010843229,0.000028360064,0.0000361781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021190125,0.000111318,0.00026207187,0.00034629027,0.00006886976,0.00006164963,0.0002235171,0.000032772474,4.834673e-8],"category_scores_gemma":[0.000006099089,0.00008306755,0.000020021902,0.00055720966,0.00007243202,0.00033116934,0.000058926566,0.000116012045,1.4594186e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004720507,0.000013431277,0.03955359,0.00008673561,0.000013455793,1.0653206e-7,0.000047610494,0.95703113,0.001124331,0.00065225596,6.5433477e-7,0.0014719713],"study_design_scores_gemma":[0.0001510977,0.0000358392,0.0759157,0.00032204765,0.0000131771285,0.0000010715904,0.000003018601,0.9226451,0.00083965174,0.000002245365,0.0000013149246,0.00006972265],"about_ca_topic_score_codex":0.000010277812,"about_ca_topic_score_gemma":0.0000021067838,"teacher_disagreement_score":0.03636211,"about_ca_system_score_codex":0.00007024659,"about_ca_system_score_gemma":0.000003471073,"threshold_uncertainty_score":0.33873963},"labels":[],"label_agreement":null},{"id":"W2617955761","doi":"10.1109/twc.2017.2706259","title":"Joint Power Optimization for Device-to-Device Communication in Cellular Networks With Interference Control","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Power control; Base station; Computer science; Telecommunications link; Beamforming; Cellular network; Mathematical optimization; Interference (communication); Optimization problem; Maximization; Joint (building); Transmitter power output; Power (physics); Upper and lower bounds; Computer network; Mathematics; Algorithm; Transmitter; Telecommunications; Engineering","score_opus":0.024529634127175473,"score_gpt":0.2557261996248023,"score_spread":0.23119656549762685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617955761","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":[0.0029973034,0.00017643887,0.99332786,0.0006707517,0.00019171496,0.0015636192,0.00005284444,0.00028214479,0.00073730474],"genre_scores_gemma":[0.9286582,0.00039178797,0.06932953,0.00008470716,0.000012169147,0.0013382363,0.000044369554,0.000091184746,0.0000498309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863464,0.00012511162,0.00053872034,0.0002714501,0.000116898045,0.000313167],"domain_scores_gemma":[0.9957076,0.00027833198,0.00019936287,0.0034196523,0.00028013892,0.00011496632],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028376275,0.0002799115,0.00035063733,0.00026145764,0.00089152035,0.00017921504,0.0013069764,0.00015893944,0.000018875682],"category_scores_gemma":[0.000017713844,0.0003025777,0.00007420951,0.00026885158,0.00013626636,0.0005955412,0.000011376577,0.00045482934,0.00001362964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005342054,0.00011527199,0.000034637047,0.000029357558,0.000048034937,2.9326213e-7,0.0003930289,0.99511206,0.0007160536,0.00024173138,0.000020959871,0.0032351248],"study_design_scores_gemma":[0.0012863177,0.00008878666,0.00011707962,0.00045271943,0.000045066667,0.0000023428595,0.00018617924,0.9952694,0.002022542,0.0000186623,0.00017093995,0.00033993926],"about_ca_topic_score_codex":0.00008961306,"about_ca_topic_score_gemma":0.0017172714,"teacher_disagreement_score":0.9256609,"about_ca_system_score_codex":0.00025442263,"about_ca_system_score_gemma":0.000036091824,"threshold_uncertainty_score":0.99994266},"labels":[],"label_agreement":null},{"id":"W2620323949","doi":"10.1109/tvt.2017.2709622","title":"Proactive Radio Resource Optimization With Margin Prediction: A Data Mining Approach","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Computer science; Data mining; Margin (machine learning); Statistic; Cellular network; Resource (disambiguation); Real-time computing; Computer network; Machine learning","score_opus":0.017478547162874964,"score_gpt":0.22018430125062566,"score_spread":0.20270575408775068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620323949","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019273055,0.00009170647,0.99359137,0.00015897925,0.0002126694,0.00068294705,0.00009160744,0.0014510141,0.001792375],"genre_scores_gemma":[0.7819804,0.00005980575,0.21721484,0.000008376262,0.00005725163,0.00029514285,0.00008543236,0.00010462503,0.00019414502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867314,0.000028748365,0.00026028755,0.0005518677,0.00017926215,0.00030669736],"domain_scores_gemma":[0.997627,0.00001990186,0.00012033804,0.0020973168,0.00007552146,0.000059882936],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013519601,0.00026897213,0.00027261386,0.00038982063,0.0005730096,0.00008051609,0.0007434592,0.0003606819,0.000011778391],"category_scores_gemma":[0.000014634203,0.00026547024,0.000034229106,0.00033427277,0.00020288261,0.0006564447,0.000007744634,0.00044757017,0.000007585974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035263914,0.00006152237,0.000027915496,0.000035550504,0.00016523525,0.00001089592,0.00008232575,0.9904067,0.00027781827,0.000027282535,0.00008646819,0.0087830275],"study_design_scores_gemma":[0.0008564804,0.0001092627,0.000017658625,0.00008019665,0.00009951055,0.00017118177,0.0003471017,0.9904723,0.0066378512,0.000007842466,0.00092768803,0.00027291474],"about_ca_topic_score_codex":0.0000054124876,"about_ca_topic_score_gemma":0.000010753383,"teacher_disagreement_score":0.7800531,"about_ca_system_score_codex":0.00015111512,"about_ca_system_score_gemma":0.00002828394,"threshold_uncertainty_score":0.99997973},"labels":[],"label_agreement":null},{"id":"W2623150508","doi":"10.1109/twc.2017.2712645","title":"Robust Beamforming Design in C-RAN With Sigmoidal Utility and Capacity-Limited Backhaul","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Computer science; Beamforming; Mathematical optimization; Channel state information; Wireless; Computer network; Base station; Telecommunications; Mathematics","score_opus":0.06063954834568312,"score_gpt":0.25033037494082355,"score_spread":0.18969082659514042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623150508","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":[0.04390742,0.000066597895,0.9542012,0.00015608444,0.00009221418,0.0004880927,0.000029201054,0.00023506304,0.0008241239],"genre_scores_gemma":[0.92714745,0.00041178212,0.072146304,0.000010032121,0.000007485471,0.00018170047,0.000006576119,0.00004702228,0.000041647563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903476,0.00010125831,0.0003025565,0.00021432523,0.00010704423,0.00024005266],"domain_scores_gemma":[0.9975147,0.00026716947,0.00008748957,0.001972198,0.00007152038,0.00008689227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022188036,0.00021034846,0.00023859802,0.00018308316,0.00086784456,0.00010689254,0.00058950495,0.00011908313,0.000009291244],"category_scores_gemma":[0.000011168533,0.00022157535,0.000033846252,0.00018183471,0.00027479514,0.0006563234,0.0000058643113,0.00048257553,0.000006832312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026978769,0.0001069051,0.00021476581,0.00004211543,0.000038634615,0.0000010855591,0.0008169862,0.98417765,0.0014911193,0.00010574155,0.0000054483485,0.012972564],"study_design_scores_gemma":[0.000910453,0.00004823231,0.0010078558,0.0002207674,0.000034460238,0.000017258157,0.00032842395,0.9907665,0.0061713248,0.000055727643,0.000103198916,0.0003358024],"about_ca_topic_score_codex":0.00018417314,"about_ca_topic_score_gemma":0.0027074225,"teacher_disagreement_score":0.88324004,"about_ca_system_score_codex":0.00011922537,"about_ca_system_score_gemma":0.000024933062,"threshold_uncertainty_score":0.903558},"labels":[],"label_agreement":null},{"id":"W2623981363","doi":"10.1109/tvt.2017.2712669","title":"Dynamic Resource Allocation for Virtualized Wireless Networks in Massive-MIMO-Aided and Fronthaul-Limited C-RAN","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Iran Telecommunication Research Center","keywords":"Radio access network; C-RAN; MIMO; Computer science; Telecommunications link; Resource allocation; Computer network; Base station; Transmitter power output; Remote radio head; Wireless network; Wireless; Radio resource management; Cloud computing; Channel (broadcasting); Transmitter; Telecommunications; Mobile station","score_opus":0.007106836369312886,"score_gpt":0.23026795670544453,"score_spread":0.22316112033613164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623981363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10407073,0.00020036886,0.89365166,0.0004328365,0.00027985114,0.00075308926,0.000015185749,0.0005544927,0.00004180713],"genre_scores_gemma":[0.99261075,0.00020034976,0.006504662,0.000019115982,0.000012684528,0.0004744295,0.000018041448,0.00007386774,0.00008611227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988951,0.000029066696,0.00033258417,0.0003513709,0.000076052675,0.0003158146],"domain_scores_gemma":[0.99906194,0.00006951845,0.00010888627,0.0006561933,0.000056766636,0.00004666895],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012751402,0.00023218527,0.0003293682,0.0004523477,0.0002971347,0.000043925655,0.0002586386,0.00051561545,0.0000036395566],"category_scores_gemma":[0.0000231711,0.000266652,0.000059327464,0.00020229476,0.00014193065,0.00020750979,0.000002828107,0.00035976604,0.0000034784364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053748237,0.00003428191,0.000024309604,0.00004194296,0.000051581846,0.000005999535,0.00006371674,0.95894825,0.011243247,0.00022870892,0.000012921042,0.02929129],"study_design_scores_gemma":[0.0018191491,0.0000732001,0.000080109334,0.000117696465,0.000037942107,0.000011760339,0.00017809188,0.98613137,0.010688445,0.0002306346,0.00036561734,0.0002660132],"about_ca_topic_score_codex":0.000016795699,"about_ca_topic_score_gemma":0.00041200643,"teacher_disagreement_score":0.88854,"about_ca_system_score_codex":0.00016729411,"about_ca_system_score_gemma":0.00001017204,"threshold_uncertainty_score":0.99997854},"labels":[],"label_agreement":null},{"id":"W2625078838","doi":"10.48550/arxiv.1706.05166","title":"Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overhead (engineering); MIMO; Computer science; Precoding; Channel state information; Transmission (telecommunications); Interference (communication); Enhanced Data Rates for GSM Evolution; Channel (broadcasting); Reuse; Wireless; Base station; Computer network; Distributed computing; Telecommunications; Engineering","score_opus":0.05835709190774955,"score_gpt":0.20390242665821398,"score_spread":0.14554533475046444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625078838","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":[0.0050338744,0.00043363837,0.9921612,0.000027062542,0.0004987559,0.0012299778,0.00008557399,0.00023538034,0.00029454674],"genre_scores_gemma":[0.9826106,0.00060021854,0.015311291,0.00001170521,0.0000649696,0.000016657628,0.00011872454,0.00007896302,0.0011868742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985985,0.00006284035,0.00022952852,0.000728419,0.00003780679,0.00034286917],"domain_scores_gemma":[0.99849826,0.00010180993,0.00020491176,0.00082195847,0.00017722012,0.00019580951],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001100165,0.0004639679,0.00046194953,0.00015267168,0.00022326215,0.00009405531,0.00055416295,0.00045073204,0.000016724083],"category_scores_gemma":[0.000036245405,0.0005238922,0.00013563593,0.00008131246,0.000097660224,0.0002238201,0.00025562965,0.00042537754,0.000004773361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008781631,0.000047920235,0.00009912454,0.00032480716,0.00007427497,0.000026032685,0.0003083482,0.99787796,0.00026629755,0.00022745943,0.000262317,0.0003976294],"study_design_scores_gemma":[0.0019350583,0.00007097918,0.000013504776,0.00048866426,0.00012898646,5.347794e-7,0.00016709483,0.9947754,0.0013575995,0.00022181099,0.00030030936,0.0005400686],"about_ca_topic_score_codex":0.000033195196,"about_ca_topic_score_gemma":0.00003276766,"teacher_disagreement_score":0.97757673,"about_ca_system_score_codex":0.00030085476,"about_ca_system_score_gemma":0.000071497205,"threshold_uncertainty_score":0.9997213},"labels":[],"label_agreement":null},{"id":"W2626037362","doi":"10.1109/mcom.2017.1600293","title":"Resource and Mobility Management in the Network Layer of 5G Cellular Ultra-Dense Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":44,"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":"FP7 Information and Communication Technologies; Ministry of Economy, Trade and Industry; European Commission","keywords":"Computer science; Bandwidth (computing); Cellular network; Reuse; Computer network; Resource management (computing); Mobility management; Spectral efficiency; Interference (communication); Radio resource management; Telecommunications; Distributed computing; Wireless network; Wireless; Channel (broadcasting)","score_opus":0.02491259922064992,"score_gpt":0.26134203710280074,"score_spread":0.23642943788215082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626037362","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":[0.0769516,0.014666888,0.659021,0.0015514367,0.0007590209,0.0034448423,0.00002578084,0.00040648915,0.2431729],"genre_scores_gemma":[0.991654,0.0013270323,0.0066999886,0.000023798488,0.000047940775,0.000077028344,0.0000149480375,0.000019202018,0.00013607902],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999269,0.0001146539,0.0002861344,0.000108669235,0.00007016841,0.00015138026],"domain_scores_gemma":[0.996677,0.00014801677,0.000104664956,0.0030152248,0.000032100554,0.000023018732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005303646,0.00010334514,0.00014612617,0.0000293676,0.00021886948,0.000041895975,0.00092771323,0.00005164999,0.000002870274],"category_scores_gemma":[0.000023333308,0.000092826194,0.000025161977,0.00012563959,0.00014976399,0.00011841869,0.00008354668,0.00018908008,0.0000051657858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067626825,0.000055840454,0.0014045356,0.000057475754,0.000025493038,0.0000019115118,0.0003054633,0.991763,0.00054408185,0.0013877035,0.0019593094,0.0024884478],"study_design_scores_gemma":[0.001173174,0.00003628555,0.0436566,0.00029392703,0.000091562964,0.000011347412,0.00033983454,0.89378345,0.0004183251,0.001288708,0.05846547,0.00044129416],"about_ca_topic_score_codex":0.0000121551675,"about_ca_topic_score_gemma":0.00014022015,"teacher_disagreement_score":0.91470236,"about_ca_system_score_codex":0.000027862518,"about_ca_system_score_gemma":0.0000022305667,"threshold_uncertainty_score":0.37853423},"labels":[],"label_agreement":null},{"id":"W2632602986","doi":"10.1109/tvt.2017.2717385","title":"Modulation-Specific Multiuser Transmit Precoding and User Selection for One-Dimensional Signaling","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Zero-forcing precoding; Computer science; Reliability (semiconductor); Transmission (telecommunications); Channel (broadcasting); Beamforming; Algorithm; MIMO; Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.01743474457415993,"score_gpt":0.2339279147463976,"score_spread":0.21649317017223768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2632602986","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1635485,0.00009312113,0.83474535,0.00013866375,0.00033518355,0.0005163415,0.000014094845,0.0005919969,0.000016746657],"genre_scores_gemma":[0.9356124,0.00006593385,0.06390332,0.000007757464,0.000040501538,0.00023155108,0.000004246649,0.00006255251,0.00007174363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908006,0.000011814909,0.00025357658,0.00031703615,0.00009361034,0.00024390112],"domain_scores_gemma":[0.99941677,0.000050767394,0.00006831375,0.00031801636,0.000103219434,0.00004291338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009427371,0.00019123337,0.00021387273,0.00032886595,0.0006311291,0.000055434753,0.00013270347,0.00032836339,0.000016338545],"category_scores_gemma":[0.0000071555796,0.0002227233,0.000067707384,0.00012428105,0.00007519842,0.00033078625,0.0000011022153,0.00025801794,0.000007952438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001893906,0.000028739483,0.000052023,0.00003774869,0.00006175444,5.65904e-7,0.00003066107,0.83985454,0.143304,0.00022207365,0.00001091488,0.016378047],"study_design_scores_gemma":[0.0008750637,0.000064400025,0.00007861719,0.00008365014,0.000036140456,0.000017813285,0.000020700574,0.6942945,0.30307117,0.00037009097,0.00083507394,0.00025277285],"about_ca_topic_score_codex":0.0000056212143,"about_ca_topic_score_gemma":0.00003986134,"teacher_disagreement_score":0.7720639,"about_ca_system_score_codex":0.00009543803,"about_ca_system_score_gemma":0.000008043642,"threshold_uncertainty_score":0.90823925},"labels":[],"label_agreement":null},{"id":"W2642432167","doi":"10.25103/jestr.092.19","title":"Interference Alignment - based Precoding and User Selection with Limited Feedback in Two - cell Downlink Multi - user MIMO Systems","year":2016,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Beamforming; Zero-forcing precoding; Telecommunications link; MIMO; Computer science; Overhead (engineering); Singular value decomposition; Interference (communication); Multi-user MIMO; Throughput; Electronic engineering; Channel state information; Spectral efficiency; Control theory (sociology); Channel (broadcasting); Algorithm; Computer network; Engineering; Telecommunications; Wireless; Artificial intelligence","score_opus":0.009764894437776318,"score_gpt":0.2321014985278417,"score_spread":0.2223366040900654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2642432167","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":[0.18139006,0.046750147,0.7703761,0.00034168919,0.00032585234,0.00060537196,0.0000018667025,0.00018248851,0.000026458662],"genre_scores_gemma":[0.97259295,0.008836535,0.018494075,0.000010555846,0.000015289801,0.000016665017,1.1084001e-7,0.00001552251,0.000018290664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911976,0.000010561716,0.00038216164,0.00015567201,0.00012477898,0.00020705482],"domain_scores_gemma":[0.9994509,0.0000417918,0.00013545132,0.00011293482,0.00019837759,0.000060527218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054989965,0.00013936545,0.0002992114,0.0005238644,0.000030099696,0.000029685609,0.00015104443,0.00005117634,0.0000014970879],"category_scores_gemma":[0.000141686,0.000090569694,0.000012584689,0.00091765134,0.000078692734,0.0005105432,0.000022117167,0.00016284517,8.258169e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022201231,0.000089243076,0.03821087,0.0067664855,0.00006692943,0.000043693395,0.00009826218,0.51115185,0.41877675,0.0006381542,0.00017265238,0.023962924],"study_design_scores_gemma":[0.00604393,0.00091650884,0.0029504679,0.092788786,0.0002001995,0.0017264955,0.00015228022,0.8111179,0.073499106,0.000017348608,0.009181415,0.0014055817],"about_ca_topic_score_codex":0.0000013917664,"about_ca_topic_score_gemma":0.0000030254946,"teacher_disagreement_score":0.7912029,"about_ca_system_score_codex":0.0001574528,"about_ca_system_score_gemma":0.00003753837,"threshold_uncertainty_score":0.3693325},"labels":[],"label_agreement":null},{"id":"W2643502490","doi":"10.1109/tsp.2018.2818070","title":"Massive Connectivity With Massive MIMO—Part II: Achievable Rate Characterization","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"MIMO; Computer science; Mathematics; Beamforming; Telecommunications","score_opus":0.011575970566100095,"score_gpt":0.219952037435914,"score_spread":0.2083760668698139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2643502490","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":[0.06393057,0.000019989415,0.9337775,0.00006264415,0.00035104906,0.00036598326,0.000032197448,0.0005676993,0.0008923332],"genre_scores_gemma":[0.996112,0.000011629592,0.0028862562,0.00006113716,0.00021941325,0.000107121545,0.000020224945,0.000093960225,0.0004882834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987622,0.00005567859,0.0002907221,0.00036033604,0.00018135393,0.00034970383],"domain_scores_gemma":[0.9992599,0.000047077214,0.00012863752,0.00018750012,0.00027548583,0.00010138516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012743576,0.00029513426,0.00025622995,0.00018765853,0.00066594663,0.0000992846,0.000106103726,0.00012880177,0.00015855367],"category_scores_gemma":[0.0000033258896,0.00028227284,0.00004452574,0.0005493674,0.00011194242,0.0010666781,0.0000012025401,0.00027021085,0.00005570088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017729025,0.00008618832,0.000009290548,0.00014248933,0.0000647282,0.0000064050805,0.0008825161,0.79708076,0.17545372,0.000012914907,0.000023324039,0.026060363],"study_design_scores_gemma":[0.000779214,0.00038090663,0.000038849084,0.00043873745,0.00006905394,0.000015896241,0.00018570203,0.5308309,0.46620992,0.00003788227,0.0005287052,0.00048419577],"about_ca_topic_score_codex":0.0000036043414,"about_ca_topic_score_gemma":0.000020057181,"teacher_disagreement_score":0.9321814,"about_ca_system_score_codex":0.00017343368,"about_ca_system_score_gemma":0.00006891793,"threshold_uncertainty_score":0.9999629},"labels":[],"label_agreement":null},{"id":"W2670753859","doi":"10.1109/ccece.2017.7946710","title":"Energy efficiency analysis of a C-RAN with distance—Based power control","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Power control; Ran; C-RAN; Telecommunications link; Power (physics); Energy consumption; Computer science; Interference (communication); Efficient energy use; Radio access network; Cellular network; Transmitter power output; Power consumption; Energy (signal processing); Control (management); Computer network; Transmitter; Base station; Electrical engineering; Engineering; Mathematics; Artificial intelligence; Statistics; Physics","score_opus":0.0033786248995886924,"score_gpt":0.1981410002244195,"score_spread":0.1947623753248308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2670753859","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":[0.005010155,0.00005062794,0.98154795,0.000010963774,0.00004186383,0.00005556499,0.0000119568285,0.00008796506,0.01318295],"genre_scores_gemma":[0.9965464,0.0000017992973,0.0032361213,0.000010742339,0.0000057463926,0.000006759945,0.0000057786974,0.000014702525,0.00017193853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995351,0.000006550448,0.0001486612,0.000104933875,0.00009069578,0.000114070455],"domain_scores_gemma":[0.99933815,0.000028458018,0.000078258134,0.00046147508,0.000060432998,0.000033224012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042230567,0.0000874244,0.00023135489,0.00011491248,0.000054480955,0.00002080528,0.00013114106,0.00002901232,0.00006069711],"category_scores_gemma":[0.000015944363,0.00006784543,0.000053487754,0.00017693109,0.000037846487,0.00010572004,0.0000041810554,0.000022074559,9.677542e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014144279,0.000011934227,0.002502072,0.0000086130185,0.00019208516,0.0000013450541,0.000032429823,0.9952643,0.00073711935,0.0010736933,0.000011437922,0.0001508492],"study_design_scores_gemma":[0.0006196133,0.000026080379,0.0015896119,0.000013442037,0.0001670985,1.4278935e-7,0.000023892648,0.9957277,0.0015934816,0.0000053451868,0.00012957535,0.00010398346],"about_ca_topic_score_codex":0.000052150943,"about_ca_topic_score_gemma":0.0003247194,"teacher_disagreement_score":0.99153626,"about_ca_system_score_codex":0.000024465327,"about_ca_system_score_gemma":0.000007667336,"threshold_uncertainty_score":0.27666566},"labels":[],"label_agreement":null},{"id":"W2684278524","doi":"10.1109/ccece.2017.7946747","title":"Energy and spectral efficiency in cellular networks considering fading, path loss, and interference","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Path loss; Spectral efficiency; Fading; Efficient energy use; Computer science; Telecommunications link; Base station; Cellular network; Nakagami distribution; Interference (communication); Stochastic geometry; Energy consumption; Electronic engineering; Computer network; Channel (broadcasting); Topology (electrical circuits); Telecommunications; Wireless; Engineering; Mathematics; Electrical engineering; Statistics","score_opus":0.008287452846917035,"score_gpt":0.2007840528214017,"score_spread":0.19249659997448465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2684278524","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":[0.1621591,0.0007789399,0.83273137,0.00000772617,0.0001376342,0.00005025022,3.9088764e-7,0.00007359632,0.004060993],"genre_scores_gemma":[0.99704295,0.0003142406,0.0024843612,0.000004965299,0.00003393608,0.0000039050087,8.8149125e-7,0.000014483381,0.000100260826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995281,0.0000065570794,0.00013037956,0.00014216127,0.000026951679,0.00016584992],"domain_scores_gemma":[0.9997379,0.000019390964,0.000028642637,0.00016354132,0.000008066594,0.000042467444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055128723,0.0000981513,0.000120130535,0.00004128781,0.00006675549,0.00008022875,0.0000671437,0.00004854751,0.0000080698555],"category_scores_gemma":[0.000015484986,0.00009841438,0.000007310345,0.000023757748,0.000050831703,0.00019444553,0.000050281138,0.000061987754,5.358919e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058875603,0.00001090249,0.031572983,0.00008054802,0.00001261124,0.000070558024,0.000511185,0.9463874,0.005271066,0.008222003,0.000043958098,0.007810878],"study_design_scores_gemma":[0.00023183465,0.000013255584,0.0007707498,0.00007938251,0.000002134571,0.000013741109,0.000042508276,0.9956465,0.0027612073,0.00024064587,0.000057153324,0.00014093],"about_ca_topic_score_codex":0.000076218275,"about_ca_topic_score_gemma":0.00023330502,"teacher_disagreement_score":0.83488387,"about_ca_system_score_codex":0.000022431375,"about_ca_system_score_gemma":0.000002943149,"threshold_uncertainty_score":0.4013222},"labels":[],"label_agreement":null},{"id":"W2706056020","doi":"10.1109/tsp.2018.2818082","title":"Massive Connectivity With Massive MIMO—Part I: Device Activity Detection and Channel Estimation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":719,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Channel (broadcasting); Telecommunications link; MIMO; Coherence time; Exploit; Base station; False alarm; Coherence (philosophical gambling strategy); Constant false alarm rate; Real-time computing; Algorithm; Computer network; Mathematics; Artificial intelligence; Statistics","score_opus":0.014447005134116892,"score_gpt":0.23535213643466163,"score_spread":0.22090513130054473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2706056020","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":[0.06770187,0.000035388694,0.93086225,0.000030896485,0.0002124723,0.00035001477,0.000011086588,0.00044368574,0.00035236008],"genre_scores_gemma":[0.99553156,0.000007010085,0.004124931,0.000018801435,0.00011290478,0.000106532396,0.0000015179569,0.00006144509,0.000035322126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898493,0.000046555462,0.00018773874,0.00034185607,0.00017763276,0.00026127603],"domain_scores_gemma":[0.99938375,0.00007949498,0.00010683467,0.00013073732,0.00020410558,0.000095073694],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000107358406,0.00025956114,0.00021514721,0.0001860303,0.00046920494,0.00009161468,0.000054198492,0.00013156662,0.00001900274],"category_scores_gemma":[0.000005039037,0.0002551705,0.000029365352,0.0004217892,0.00011774558,0.0010683277,7.363595e-7,0.00026530446,0.000015150568],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014070474,0.00003948818,0.0000024059113,0.00017103936,0.00003753893,0.0000025896702,0.0005178019,0.80673987,0.03047864,0.0000017029405,0.0000027034907,0.16186553],"study_design_scores_gemma":[0.00038610966,0.00018229468,0.000032362543,0.00020094418,0.000045008455,0.000021911852,0.00016798495,0.69698066,0.30170423,0.000038207698,0.000011428869,0.00022887667],"about_ca_topic_score_codex":0.0000147684905,"about_ca_topic_score_gemma":0.00014657286,"teacher_disagreement_score":0.9278297,"about_ca_system_score_codex":0.00018605727,"about_ca_system_score_gemma":0.000037263246,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W2720398737","doi":"","title":"SER Derivation and Power Optimization of a Two-Way MultiRelay Cooperative Communication System","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Power (physics); Computer science; Mathematics; Mathematical optimization; Physics","score_opus":0.08154916451036462,"score_gpt":0.4499365463658193,"score_spread":0.3683873818554547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2720398737","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":[0.14308815,0.005081774,0.84605694,0.000021075379,0.00030401774,0.0008196056,0.000021365058,0.00013571439,0.0044713453],"genre_scores_gemma":[0.9833854,0.0017000193,0.014659809,0.000019222953,0.00003574829,0.00005289764,0.00003874757,0.00006943738,0.000038748996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980928,0.0003184154,0.000894437,0.00023338913,0.000273344,0.00018765553],"domain_scores_gemma":[0.9979064,0.00026332607,0.0006463285,0.00048306963,0.0005946992,0.000106184074],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008446752,0.00025284497,0.0005764288,0.00044298818,0.0001608916,0.00031334654,0.00073656347,0.00011399562,0.0003118629],"category_scores_gemma":[0.0002235808,0.00025176094,0.00005368822,0.00064095686,0.00007981369,0.0024563198,0.00024398483,0.00020369196,0.000002982052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036622827,0.000035058358,0.009611663,0.0002004266,0.00008558222,5.430685e-7,0.00044698108,0.95768166,0.029327735,0.00054636353,0.00048457962,0.0015427972],"study_design_scores_gemma":[0.0015019572,0.000016907708,0.020870514,0.0014193208,0.00007220539,0.000015414622,0.00034858895,0.9412322,0.03352421,0.00019775305,0.00029818655,0.0005027154],"about_ca_topic_score_codex":0.00013323576,"about_ca_topic_score_gemma":0.000021095437,"teacher_disagreement_score":0.8402972,"about_ca_system_score_codex":0.00014157097,"about_ca_system_score_gemma":0.000022339138,"threshold_uncertainty_score":0.99999344},"labels":[],"label_agreement":null},{"id":"W2725951849","doi":"","title":"Joint multiuser admission control and downlink beamforming for green cloud-RANs Via semidefinite relaxation","year":2016,"lang":"en","type":"article","venue":"Wireless Personal Multimedia Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Beamforming; Telecommunications link; Computer science; Transmitter power output; Relaxation (psychology); Cloud computing; Mathematical optimization; Radio access network; Power control; Heuristic; Semidefinite programming; Reynolds-averaged Navier–Stokes equations; Base station; Power (physics); Computer network; Mathematics; Transmitter; Engineering; Mobile station; Telecommunications; Channel (broadcasting); Computational fluid dynamics","score_opus":0.021093284351780792,"score_gpt":0.24477380724402997,"score_spread":0.22368052289224918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2725951849","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":[0.021204526,0.00087381166,0.97376853,0.0018871743,0.00026069168,0.0010910463,0.00028297515,0.00046571335,0.00016554527],"genre_scores_gemma":[0.91091573,0.00075534184,0.08726848,0.00005232647,0.00013992784,0.0004600172,0.00015064464,0.00007850163,0.00017902449],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987528,0.000072378745,0.0004791041,0.00024820006,0.00014487065,0.00030266953],"domain_scores_gemma":[0.9979292,0.000870307,0.00015426888,0.0006676238,0.0001984799,0.00018010779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002631182,0.00024691122,0.00029587606,0.00013847093,0.00032358174,0.000022085342,0.00029443426,0.00018323521,0.000013408645],"category_scores_gemma":[0.00017818918,0.00020608431,0.00009056506,0.00013907351,0.00013999062,0.0004121513,0.00007359535,0.00018545416,0.000025223859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014044326,0.00017134388,0.0024011023,0.00036727576,0.0002971034,0.0000013280863,0.010460159,0.00772629,0.5283952,0.00089920196,0.0004394758,0.4487011],"study_design_scores_gemma":[0.0026988268,0.00003480441,0.000755663,0.0003080214,0.000057807618,0.000010669836,0.00022747296,0.9902754,0.0013846928,0.00015787991,0.0037401859,0.00034857556],"about_ca_topic_score_codex":0.00006974495,"about_ca_topic_score_gemma":0.0001434416,"teacher_disagreement_score":0.98254913,"about_ca_system_score_codex":0.00017436745,"about_ca_system_score_gemma":0.000029949617,"threshold_uncertainty_score":0.84038746},"labels":[],"label_agreement":null},{"id":"W2726670099","doi":"10.1631/fitee.1700031","title":"Joint user association and resource partition for downlink-uplink decoupling inmulti-tier HetNets","year":2017,"lang":"en","type":"article","venue":"Frontiers of Information Technology & Electronic Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Base station; Transmitter power output; Cellular network; Heterogeneous network; Decoupling (probability); Partition (number theory); User equipment; Wireless; Distributed computing; Wireless network; Engineering; Mathematics; Transmitter; Telecommunications; Channel (broadcasting)","score_opus":0.0029920598928636984,"score_gpt":0.1871696983734141,"score_spread":0.1841776384805504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726670099","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":[0.044008076,0.00091722346,0.95343775,0.00016989734,0.00030978557,0.00049549347,0.00001163538,0.0005534802,0.000096674084],"genre_scores_gemma":[0.92703867,0.00035133588,0.0722317,0.000010683209,0.000045466688,0.00016954838,0.00007364611,0.000038066486,0.00004088777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881923,0.000002991942,0.00051484216,0.00012016143,0.00010969549,0.0004330882],"domain_scores_gemma":[0.99909335,0.00002205572,0.00036730812,0.00033081637,0.00014761594,0.000038867205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032897817,0.00019086196,0.00029394045,0.00044996364,0.00017395355,0.0000604412,0.0001918005,0.00039473028,0.0000011178154],"category_scores_gemma":[0.00042292787,0.00022026828,0.000052445037,0.0001212136,0.000030215704,0.0012588309,0.000042751617,0.000303735,0.0000025506015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018254499,0.000008896195,0.0026105663,0.0002984161,0.00019335176,1.9016515e-7,0.0002603669,0.97002375,0.0038021894,0.004450543,0.0024851968,0.015848294],"study_design_scores_gemma":[0.0009289647,0.00006608306,0.0004954811,0.0000772466,0.000037929723,0.000005155814,0.00013680678,0.9488125,0.03345376,0.00051502796,0.015185456,0.00028558352],"about_ca_topic_score_codex":0.0000026308771,"about_ca_topic_score_gemma":0.0000032480925,"teacher_disagreement_score":0.8830306,"about_ca_system_score_codex":0.0004926994,"about_ca_system_score_gemma":0.000024092831,"threshold_uncertainty_score":0.898228},"labels":[],"label_agreement":null},{"id":"W2734932182","doi":"10.1109/icnidc.2016.7974576","title":"Joint antenna and power allocation scheme for massive MIMO relaying network","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; MIMO; Telecommunications link; Overhead (engineering); Scheduling (production processes); Antenna (radio); Diversity gain; Computer network; Base station; Resource allocation; 3G MIMO; Telecommunications; Mathematical optimization; Mathematics","score_opus":0.011577557847774709,"score_gpt":0.2119712117782518,"score_spread":0.2003936539304771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734932182","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":[0.0035381087,0.0002684703,0.9937337,0.00020153687,0.0002464434,0.0002922343,0.0000022439567,0.00023425362,0.0014830254],"genre_scores_gemma":[0.8708495,0.00007059716,0.12807782,0.00003320108,0.00009706743,0.000056196153,0.000003746482,0.00003551915,0.00077635184],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995033,0.000005484921,0.00016028673,0.00012491939,0.00003712157,0.0001688523],"domain_scores_gemma":[0.9997094,0.00004822052,0.000029966885,0.00011490951,0.000058263293,0.000039202292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008201449,0.00008820086,0.00009883561,0.000029433151,0.000040201434,0.000012305207,0.000028273062,0.00005468823,0.000021458922],"category_scores_gemma":[0.00004817845,0.00006478543,0.000019559819,0.000057609046,0.000011583563,0.00021064305,0.000012452876,0.00002477124,0.000011868376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060775015,0.000024138775,0.0030731175,0.00032132617,0.0002052392,0.0000038335593,0.000588623,0.26358527,0.6516442,0.046857122,0.017491622,0.01614474],"study_design_scores_gemma":[0.00267652,0.00013729278,0.0015209676,0.0007415248,0.00003187678,0.000019302868,0.00036600023,0.96289724,0.016232269,0.0036610642,0.010778836,0.00093708915],"about_ca_topic_score_codex":0.0000011279334,"about_ca_topic_score_gemma":0.0000030864824,"teacher_disagreement_score":0.8673114,"about_ca_system_score_codex":0.000048839538,"about_ca_system_score_gemma":0.000004655533,"threshold_uncertainty_score":0.26418734},"labels":[],"label_agreement":null},{"id":"W2735648430","doi":"10.1109/icnidc.2016.7974533","title":"Energy saving in C-RAN based on BBU switching scheme","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Energy consumption; Computer network; Bandwidth (computing); Baseband; Cloud computing; Scheme (mathematics); Engineering","score_opus":0.006529081278104367,"score_gpt":0.19903921194107405,"score_spread":0.19251013066296968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735648430","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":[0.007897275,0.00002521922,0.97534955,0.00005602288,0.00013598148,0.000045743553,5.9513553e-7,0.0003152404,0.016174402],"genre_scores_gemma":[0.9810192,0.000006230023,0.018522415,0.00005879349,0.000043968226,0.00001342272,0.0000011953337,0.000032450713,0.00030230518],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948394,0.000011336668,0.00015434962,0.00012002364,0.00006601955,0.0001643238],"domain_scores_gemma":[0.99969274,0.0000836912,0.00001465108,0.00016498475,0.000010647135,0.00003328564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006757437,0.0000947602,0.0000936639,0.00012230522,0.000015363665,0.00000877948,0.000060665112,0.000047420857,0.000072147486],"category_scores_gemma":[0.000033062828,0.0000709616,0.000018625731,0.00011702616,0.000003225905,0.00015269165,0.000007594322,0.000040243314,0.00002561865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006841441,0.000011701533,0.0012548993,0.000021668266,0.0000042045153,0.000004815841,0.00004263454,0.8209636,0.14716375,0.0027120896,0.00010598461,0.027707804],"study_design_scores_gemma":[0.0006705982,0.000013407222,0.00021629063,0.00024027831,0.0000010031547,7.906306e-7,0.000021036962,0.9746459,0.02272679,0.00012795972,0.0011359372,0.00019997846],"about_ca_topic_score_codex":0.000027754097,"about_ca_topic_score_gemma":0.00012515263,"teacher_disagreement_score":0.97312194,"about_ca_system_score_codex":0.00012478748,"about_ca_system_score_gemma":0.000005908454,"threshold_uncertainty_score":0.289373},"labels":[],"label_agreement":null},{"id":"W2736318913","doi":"10.1109/twc.2017.2730185","title":"Joint Hybrid Tx–Rx Design for Wireless Backhaul With Delay-Outage Constraint in Massive MIMO Systems","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Baseband; Precoding; Computer science; Backhaul (telecommunications); Channel state information; Mathematical optimization; Wireless; Topology (electrical circuits); Control theory (sociology); Algorithm; Beamforming; Mathematics; Telecommunications; Bandwidth (computing)","score_opus":0.04068305892735602,"score_gpt":0.26073389680467846,"score_spread":0.22005083787732244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736318913","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":[0.007948756,0.00018949033,0.98751795,0.000263907,0.00048578446,0.0021839454,0.0003184033,0.0003827789,0.00070897146],"genre_scores_gemma":[0.96693516,0.0005599697,0.030039173,0.000015796546,0.00002807323,0.0020930634,0.000039866096,0.00013497898,0.0001538966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981487,0.0001604794,0.00068178185,0.00036602415,0.00018769185,0.00045534348],"domain_scores_gemma":[0.9959628,0.0004273951,0.0002752734,0.0029499244,0.0002376253,0.00014697481],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032737528,0.00039114643,0.00052741193,0.00029973238,0.0009982683,0.00023002658,0.0010874695,0.00015994595,0.000009986133],"category_scores_gemma":[0.000012691728,0.0004085456,0.00011952847,0.00017937421,0.0003606375,0.0005697173,0.000008482424,0.0005430698,0.000026813388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049673097,0.00016231659,0.000011751702,0.00013328936,0.00012459003,0.00000809603,0.0003591157,0.9897295,0.0028725655,0.0009915954,0.00007159045,0.005485895],"study_design_scores_gemma":[0.0017561018,0.00012266949,0.000031863798,0.00069532637,0.00008044935,0.000056865236,0.00070483604,0.98290163,0.012704921,0.00007076219,0.00029755337,0.00057702116],"about_ca_topic_score_codex":0.00016296898,"about_ca_topic_score_gemma":0.00061772566,"teacher_disagreement_score":0.9589864,"about_ca_system_score_codex":0.00040711026,"about_ca_system_score_gemma":0.000108282635,"threshold_uncertainty_score":0.9998366},"labels":[],"label_agreement":null},{"id":"W2736464254","doi":"10.1109/tvt.2017.2729346","title":"Capacity- and Trust-Aware BS Cooperation in Nonuniform HetNets: Spectral Efficiency and Optimal BS Density","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; University of Waterloo; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Base station; Stochastic geometry; Spectral efficiency; Computer science; Coverage probability; Interference (communication); Fading; Path loss; Signal-to-noise ratio (imaging); Computer network; Topology (electrical circuits); Mathematical optimization; Algorithm; Telecommunications; Decoding methods; Mathematics; Engineering; Statistics; Wireless; Electrical engineering","score_opus":0.00757651597766522,"score_gpt":0.2113105697926469,"score_spread":0.20373405381498166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736464254","genre_codex":"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":[0.50149864,0.000051138042,0.4977723,0.00011477698,0.00012095527,0.00019247658,0.000006722313,0.00020136748,0.00004162382],"genre_scores_gemma":[0.9954304,0.0001751927,0.004270175,0.000008765676,0.000013824489,0.000043425207,0.0000022479499,0.000027857197,0.000028086457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916404,0.0000140855855,0.00021642077,0.0002812381,0.000071101626,0.0002531122],"domain_scores_gemma":[0.9994569,0.000013842832,0.000046127556,0.00039141983,0.00004417472,0.00004755168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000921055,0.00018889723,0.00023200276,0.00033551193,0.0003500613,0.000053311673,0.00013305891,0.00032295924,0.0000062191125],"category_scores_gemma":[0.000011469164,0.0002067263,0.000025881223,0.00015980932,0.0002087362,0.00030485247,0.0000030676026,0.00041106035,0.000006477027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001888908,0.000060817696,0.00074908417,0.00006312125,0.00003087307,0.000033439,0.0002037237,0.97239125,0.017532004,0.00043978854,0.0000032637386,0.0084737735],"study_design_scores_gemma":[0.0011899123,0.00016680574,0.0009697629,0.00008472253,0.000031729203,0.00021793277,0.00015836592,0.86779654,0.12881441,0.00012703995,0.0000726536,0.00037014138],"about_ca_topic_score_codex":0.000045992736,"about_ca_topic_score_gemma":0.0005126585,"teacher_disagreement_score":0.4939318,"about_ca_system_score_codex":0.000111075315,"about_ca_system_score_gemma":0.000011115748,"threshold_uncertainty_score":0.84300536},"labels":[],"label_agreement":null},{"id":"W2738829458","doi":"10.1109/tcomm.2017.2731315","title":"Superposition Signaling in Broadcast Interference Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Division of Electrical, Communications and Cyber Systems; Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Australian Research Council; Royal Academy of Engineering; National Science Foundation","keywords":"Superposition principle; Interference (communication); Gaussian; Rate of convergence; Computer science; Single antenna interference cancellation; Topology (electrical circuits); Quadratic equation; Zero-forcing precoding; Mathematical optimization; Convergence (economics); Mathematics; Algorithm; Telecommunications; Decoding methods; MIMO; Precoding; Beamforming; Physics","score_opus":0.031652230011379165,"score_gpt":0.27217589690280014,"score_spread":0.24052366689142096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738829458","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":[0.0031965245,0.00018301685,0.99226433,0.0001349375,0.00036460705,0.00022359675,0.000013998826,0.00022231138,0.0033966843],"genre_scores_gemma":[0.99162734,0.00074878987,0.0073184543,0.000014355372,0.00001947267,0.00014604817,0.000011025635,0.000032042197,0.000082463914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999334,0.00005020613,0.00026459072,0.0001282096,0.000055872817,0.00016713134],"domain_scores_gemma":[0.99805427,0.00010084282,0.000050607916,0.0017011673,0.00004717631,0.00004594329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010334719,0.00012777164,0.0001319182,0.00013809961,0.00054223905,0.00010166868,0.0007193469,0.000089314,0.000026837153],"category_scores_gemma":[0.000005846666,0.00015418165,0.000046622223,0.00011626148,0.00008623549,0.00046816873,0.000004456499,0.00039586218,0.000034280936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004955644,0.000049738155,0.000028383962,0.000007725584,0.000012516689,5.269362e-7,0.00028916454,0.98085684,0.0025134573,0.00011992835,0.000012491171,0.016104296],"study_design_scores_gemma":[0.00032059674,0.000022183085,0.0001720794,0.0002146623,0.000014067755,0.0000057359275,0.00013584405,0.9939046,0.004737129,0.00010377069,0.00016860598,0.00020074332],"about_ca_topic_score_codex":0.00007133829,"about_ca_topic_score_gemma":0.0005737771,"teacher_disagreement_score":0.9884308,"about_ca_system_score_codex":0.00013843067,"about_ca_system_score_gemma":0.000010255329,"threshold_uncertainty_score":0.62873447},"labels":[],"label_agreement":null},{"id":"W2739000377","doi":"10.1109/tvt.2017.2731820","title":"Performance Scaling Law for Multicell Multiuser Massive MIMO","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"MIMO; Telecommunications link; Base station; Scaling; Signal-to-interference-plus-noise ratio; Channel (broadcasting); Computer science; Topology (electrical circuits); Precoding; Spatial correlation; Mathematics; Applied mathematics; Mathematical optimization; Telecommunications; Power (physics); Physics; Geometry","score_opus":0.011407857633339857,"score_gpt":0.23583163455368686,"score_spread":0.224423776920347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739000377","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09360315,0.000055967106,0.9036038,0.00013027988,0.00078795874,0.00057818345,0.000023137432,0.0008743267,0.00034323253],"genre_scores_gemma":[0.9665078,0.000054017502,0.032778155,0.00002030244,0.0000349095,0.00036135488,0.0000031071302,0.0000724983,0.00016784671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907815,0.0000073861934,0.00023991856,0.0002725449,0.00007837137,0.0003236348],"domain_scores_gemma":[0.99899524,0.000034618337,0.00008025696,0.00074388785,0.0001004419,0.00004556394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006861839,0.00020943009,0.0002267486,0.00020209493,0.0006173747,0.000040218605,0.00033345187,0.0003546994,0.000009288245],"category_scores_gemma":[0.000010832851,0.00022559414,0.000089593705,0.00009473572,0.00015434758,0.0002886556,0.000001952919,0.00029551127,0.000059101123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014401817,0.000032819553,0.0000122838355,0.00008423305,0.000051921063,0.0000036136114,0.00003623375,0.96051383,0.02651944,0.00023507704,0.000008090367,0.012488086],"study_design_scores_gemma":[0.0007163442,0.000045227225,0.0000068436,0.000066620545,0.000033579978,0.0000057857624,0.000039617447,0.6306559,0.36658272,0.0000470034,0.001598741,0.00020161993],"about_ca_topic_score_codex":0.0000099483905,"about_ca_topic_score_gemma":0.000044923818,"teacher_disagreement_score":0.87290466,"about_ca_system_score_codex":0.00009995516,"about_ca_system_score_gemma":0.000007876147,"threshold_uncertainty_score":0.9199462},"labels":[],"label_agreement":null},{"id":"W2739712992","doi":"10.1109/icc.2017.7997133","title":"Social stability enhanced mobile D2D relay networks: An optimal stopping approach","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Relay; Stability (learning theory); Computer science; Computer network; Scheme (mathematics); Exploit; Relay channel; Mobile telephony; Computer security; Mobile radio; Mathematics","score_opus":0.02220578288008399,"score_gpt":0.2664888278513567,"score_spread":0.2442830449712727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739712992","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":[0.087669216,0.000059593134,0.88730127,0.0000041434987,0.00025902988,0.00039848426,0.0000025701959,0.0005638257,0.023741897],"genre_scores_gemma":[0.9507801,0.000011406163,0.048478764,0.0000053877534,0.00035093998,0.00013116476,0.000025509284,0.00005035191,0.00016639772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989804,0.00003449804,0.0002617452,0.0002934048,0.000106070765,0.00032388905],"domain_scores_gemma":[0.9991489,0.000018077291,0.000084460786,0.00060499716,0.000063025014,0.00008051979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384807,0.00018024616,0.00023248764,0.000028090555,0.00045425663,0.00013218122,0.00029781746,0.00015110825,0.00006932499],"category_scores_gemma":[0.000022034046,0.00018754893,0.000053659878,0.000052542688,0.000063627536,0.0008632155,0.000061639614,0.00018527672,0.000009509315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000945354,0.000026179532,0.00006763851,0.00003405845,0.000014689913,4.2597816e-7,0.0006254939,0.99238753,0.0015854603,0.00013587468,0.00006543247,0.005047784],"study_design_scores_gemma":[0.0002952792,0.000025573716,0.000240255,0.0000080383525,0.000007998747,0.0000012898598,0.0005239798,0.9954054,0.0030773631,0.000013036257,0.00014427879,0.0002575522],"about_ca_topic_score_codex":0.00001307672,"about_ca_topic_score_gemma":0.000014624568,"teacher_disagreement_score":0.86311084,"about_ca_system_score_codex":0.000128929,"about_ca_system_score_gemma":0.000011432527,"threshold_uncertainty_score":0.7648023},"labels":[],"label_agreement":null},{"id":"W2739846759","doi":"10.1109/icc.2017.7997312","title":"Compressive RF training and channel estimation in massive MIMO with limited RF chains","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Beamforming; Overhead (engineering); Radio frequency; Computer science; MIMO; Channel (broadcasting); Random access; Electronic engineering; Telecommunications; Engineering; Computer network","score_opus":0.02161181952078392,"score_gpt":0.24142112508433186,"score_spread":0.21980930556354794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739846759","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":[0.080611624,0.00007696502,0.91088074,0.00011924012,0.00011041656,0.00036823453,0.0000047447725,0.00021096792,0.0076170377],"genre_scores_gemma":[0.9830169,0.000018812978,0.01668802,0.000012056874,0.000026051717,0.0000401951,0.000013687662,0.000028902125,0.00015538209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994717,0.000006859085,0.00014115071,0.00014862018,0.00006300674,0.00016866403],"domain_scores_gemma":[0.99959934,0.000031412917,0.000076644676,0.00020937156,0.000035157587,0.000048052647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048773432,0.00012793923,0.0001686533,0.0000932177,0.0001070351,0.00006597498,0.0000819742,0.00006090172,0.000005052791],"category_scores_gemma":[0.000048927504,0.00011551713,0.000009000177,0.000051451254,0.000038090762,0.00044039843,0.000020893025,0.00008653429,0.0000029481453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072382286,0.000005481896,0.0003050333,0.00003993062,0.000014366218,0.000010285947,0.002059076,0.99378514,0.0006603261,0.0003302883,0.000019236728,0.0027635773],"study_design_scores_gemma":[0.00072919816,0.000027526465,0.0030727081,0.00017447952,0.0000057274033,0.000007901563,0.00067632727,0.9938248,0.0012231001,0.000083225335,0.000014246758,0.00016078675],"about_ca_topic_score_codex":0.000035994515,"about_ca_topic_score_gemma":0.00019318562,"teacher_disagreement_score":0.90240526,"about_ca_system_score_codex":0.000040814295,"about_ca_system_score_gemma":0.000007321047,"threshold_uncertainty_score":0.47106516},"labels":[],"label_agreement":null},{"id":"W2740056376","doi":"10.22215/etd/2010-09631","title":"Composite fading channel modeling and information capacity of distributed antenna architectures in cellular networks","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Fading; Telecommunications; Computer science; Composite number; Antenna (radio); Channel (broadcasting); Computer network; Algorithm","score_opus":0.005965135456023801,"score_gpt":0.19210950003684632,"score_spread":0.1861443645808225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740056376","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":[0.349356,0.00016521013,0.6496219,9.293717e-7,0.00025626988,0.00023007298,0.000029080667,0.00008787895,0.00025263912],"genre_scores_gemma":[0.9941641,0.0000809922,0.0027846019,0.0000026310565,0.000035563116,0.000019283909,0.0028741213,0.000030092318,0.000008608523],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907714,0.000013648889,0.00051251904,0.00011711853,0.00009544431,0.00018409998],"domain_scores_gemma":[0.9995791,0.000024400408,0.00012821665,0.00013406719,0.000092161565,0.000042078016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009658514,0.00022659612,0.0003286072,0.00029749738,0.000034153225,0.000026787375,0.00008021119,0.00036135782,0.000002460082],"category_scores_gemma":[0.000021886368,0.00023846418,0.000035220666,0.00019143216,0.000010907033,0.00031004817,0.0000103662005,0.00047095277,4.6995478e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017547083,0.0000033953959,0.00003101069,0.00043961906,0.0000138443065,3.217717e-7,0.00092718605,0.9891034,0.009089042,0.000046988815,0.0000011076116,0.00032653956],"study_design_scores_gemma":[0.00020811957,0.0000070879787,0.00011604021,0.00029902035,0.000013066346,0.0000017409142,0.0002818427,0.9954755,0.0032838306,0.000099518395,0.0000026254218,0.00021166296],"about_ca_topic_score_codex":0.00012270945,"about_ca_topic_score_gemma":0.0004332076,"teacher_disagreement_score":0.64683735,"about_ca_system_score_codex":0.000041649302,"about_ca_system_score_gemma":0.000006595438,"threshold_uncertainty_score":0.97242874},"labels":[],"label_agreement":null},{"id":"W2740056608","doi":"10.1109/mnet.2017.1600278","title":"Non-Orthogonal Multiple Access Vehicular Small Cell Networks: Architecture and Solution","year":2017,"lang":"en","type":"article","venue":"IEEE Network","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Computer network; Architecture","score_opus":0.012107168071624898,"score_gpt":0.22144949067543987,"score_spread":0.20934232260381497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740056608","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":[0.102233835,0.00096363854,0.89074254,0.000021439091,0.0039014574,0.00037466656,0.0000043203086,0.00022411252,0.0015339853],"genre_scores_gemma":[0.99055,0.00016788986,0.004972316,0.000030588784,0.004042638,0.000041909207,0.000019453746,0.00006299256,0.000112228496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904454,0.000018377468,0.00020451225,0.00024845527,0.00008201438,0.00040212524],"domain_scores_gemma":[0.9992407,0.00004862003,0.000108737266,0.0004610925,0.00003600244,0.000104870494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012943846,0.00021092447,0.0002105284,0.00003180574,0.0003870697,0.0001922006,0.0002954605,0.000165266,0.0000025419483],"category_scores_gemma":[0.0000125060415,0.00021872114,0.000048864345,0.00005860791,0.000050054707,0.00025164438,0.00007633901,0.00025221446,0.000006790736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013253274,0.000005422065,0.006306073,0.000052756197,0.00001714439,0.000007102102,0.000035386336,0.9893714,0.00033102353,0.000004724974,0.0018598968,0.0019958022],"study_design_scores_gemma":[0.00053288665,0.000015537824,0.0094977245,0.00011508454,0.000022047549,0.000009427227,0.0000021734522,0.9863867,0.00036646158,0.00022781605,0.00252719,0.0002969417],"about_ca_topic_score_codex":0.000020850859,"about_ca_topic_score_gemma":0.00019585076,"teacher_disagreement_score":0.88831615,"about_ca_system_score_codex":0.000035063906,"about_ca_system_score_gemma":0.000008490796,"threshold_uncertainty_score":0.8919189},"labels":[],"label_agreement":null},{"id":"W2740227516","doi":"10.1049/iet-com.2017.0367","title":"Discrete location‐aware resource allocation for underlay device‐to‐device communications in cellular networks","year":2017,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Underlay; Computer science; Resource allocation; Computer network; Resource (disambiguation); Resource management (computing); Cellular network; Distributed computing; Telecommunications; Signal-to-noise ratio (imaging)","score_opus":0.05060549029033064,"score_gpt":0.3193298200883414,"score_spread":0.26872432979801075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740227516","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":[0.0005044826,0.0020630087,0.9816045,0.0069737583,0.0001669723,0.0017448378,0.000048503032,0.000392309,0.0065016085],"genre_scores_gemma":[0.9379378,0.0005303163,0.058904387,0.00014004741,0.00007388176,0.0012411228,0.00081660243,0.00009682525,0.00025900867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984719,0.00015273226,0.0006318115,0.00027693616,0.00010958332,0.000357041],"domain_scores_gemma":[0.99072367,0.00048934674,0.00023443867,0.008099341,0.0003225028,0.00013068966],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050809846,0.0002480004,0.0002822552,0.00019141592,0.0012245578,0.00021667319,0.0035616728,0.0001733734,0.0000051137963],"category_scores_gemma":[0.00029815373,0.00030471265,0.00006938235,0.00042693433,0.00017298615,0.0005693889,0.000618737,0.00036130985,0.00004362373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008433018,0.0000694951,0.00063725363,0.00008404695,0.000043634343,1.5274237e-7,0.00104507,0.9825612,0.00060022046,0.009397637,0.0014609604,0.004091946],"study_design_scores_gemma":[0.0004972258,0.000019449568,0.0013148555,0.0002740809,0.000038098246,0.0000014675024,0.00062791666,0.929285,0.0001975375,0.00043353593,0.066928595,0.00038222407],"about_ca_topic_score_codex":0.00017605607,"about_ca_topic_score_gemma":0.0043320963,"teacher_disagreement_score":0.9374333,"about_ca_system_score_codex":0.0003188418,"about_ca_system_score_gemma":0.00005320658,"threshold_uncertainty_score":0.9999405},"labels":[],"label_agreement":null},{"id":"W2740524828","doi":"10.1109/icc.2017.7996475","title":"Self-organizing wireless network parameter optimization through mixed integer programming","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; InterDigital (Canada)","funders":"","keywords":"Computer science; Wireless network; Integer programming; Optimization problem; Computer network; Wireless; Quality of service; Radio resource management; Channel (broadcasting); Throughput; Distributed computing; Self-organizing network; Algorithm; Telecommunications","score_opus":0.013430239781283593,"score_gpt":0.23313425597642182,"score_spread":0.2197040161951382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740524828","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":[0.0014547855,0.000108559194,0.9890037,0.00003516431,0.0009779503,0.0004028999,7.2129177e-7,0.0013698975,0.006646305],"genre_scores_gemma":[0.46531418,0.00005836985,0.5341126,0.0000180996,0.00022846766,0.000038513826,0.000013215297,0.000076006734,0.0001406047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998961,0.00002115913,0.0002963328,0.00023596085,0.00010926541,0.0003763384],"domain_scores_gemma":[0.9991215,0.00004646621,0.00011797725,0.00056955015,0.00008890458,0.00005561498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012232213,0.00021369585,0.00022482974,0.000028188559,0.00034789828,0.00028784722,0.00026711953,0.00013488336,0.000038376762],"category_scores_gemma":[0.0000645766,0.00020962232,0.000046811834,0.00011315475,0.000029586592,0.0010015668,0.00007343214,0.00014500706,0.00003566917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021641981,0.00001045204,0.0005227056,0.0000615383,0.000044121847,0.00000262595,0.00025956478,0.9947541,0.000044554283,0.0007046626,0.00034176055,0.0032517815],"study_design_scores_gemma":[0.00027408608,0.000013506692,0.00003403893,0.00006465122,0.000022877406,0.0000074375826,0.00009360743,0.99538445,0.0012741771,0.00011601187,0.0024113092,0.00030382755],"about_ca_topic_score_codex":0.000016124492,"about_ca_topic_score_gemma":0.0000234245,"teacher_disagreement_score":0.46385938,"about_ca_system_score_codex":0.00011519881,"about_ca_system_score_gemma":0.000009722305,"threshold_uncertainty_score":0.854815},"labels":[],"label_agreement":null},{"id":"W2740659431","doi":"10.1109/icc.2017.7996629","title":"Average downlink rate in Ultra-Dense Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Computer science; Rayleigh fading; Computer network; Fading; Channel (broadcasting); Path loss; Base station; Interference (communication); Context (archaeology); Stochastic geometry; Electronic engineering; Telecommunications; Wireless; Mathematics; Engineering; Statistics; Geography","score_opus":0.00845620327496997,"score_gpt":0.221421790793066,"score_spread":0.21296558751809605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740659431","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":[0.008969367,0.00008770595,0.93710595,0.000030918312,0.0005233046,0.00015753992,0.0000012046362,0.00025239095,0.052871592],"genre_scores_gemma":[0.9968334,0.00010477497,0.0017577017,0.000021018832,0.000094982206,0.000010660861,0.000004802493,0.000023196373,0.0011494656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995428,0.000011083168,0.00014617351,0.00010171097,0.00002980332,0.00016847099],"domain_scores_gemma":[0.9995457,0.000023126626,0.000028896848,0.00035320708,0.000014102399,0.00003494608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010809335,0.00008841812,0.00010773133,0.000034605742,0.000060646664,0.000059370803,0.00012912434,0.000066428416,0.000054926662],"category_scores_gemma":[0.000036450703,0.000086922024,0.000018131412,0.00003341488,0.000012547044,0.00026392192,0.000011163445,0.0001040771,0.000055940516],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017742467,0.000002475506,0.00074023823,0.000008612764,0.000003552792,0.000010333638,0.000038863014,0.99682194,0.0007521048,0.00019861876,0.00024138621,0.0011801068],"study_design_scores_gemma":[0.00039638265,0.0000046111086,0.0030992667,0.00003264528,0.0000014859418,0.0000026336959,0.000011328843,0.99409527,0.0014984783,0.0001014849,0.00059734454,0.0001590532],"about_ca_topic_score_codex":0.000025546957,"about_ca_topic_score_gemma":0.0001491403,"teacher_disagreement_score":0.987864,"about_ca_system_score_codex":0.000040303185,"about_ca_system_score_gemma":0.0000027993226,"threshold_uncertainty_score":0.35445774},"labels":[],"label_agreement":null},{"id":"W2740712950","doi":"10.1109/icc.2017.7996533","title":"A simple approximation algorithm for base station association in HetNets","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Base station; Computer science; Scheduling (production processes); Approximation algorithm; Interference (communication); Algorithm; Mathematical optimization; Heterogeneous network; Mathematics; Computer network; Telecommunications; Wireless; Wireless network","score_opus":0.01251222080226887,"score_gpt":0.2580945498399056,"score_spread":0.24558232903763672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740712950","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":[0.0026701253,0.000011303934,0.99445224,0.00003380009,0.00017954812,0.00049814663,0.000027011756,0.00014910453,0.0019787073],"genre_scores_gemma":[0.7611804,0.000013072893,0.23742767,0.000015652537,0.0001007198,0.00024544832,0.00024993994,0.000036025096,0.0007310869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949217,0.00000975092,0.00018314159,0.00010088522,0.00007368673,0.00014038253],"domain_scores_gemma":[0.99959797,0.000047547026,0.00009979,0.00016656875,0.000066848734,0.000021258817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021389335,0.00007190883,0.00009510579,0.00006291439,0.00008484058,0.00006835914,0.000062752886,0.00006753557,0.000014193392],"category_scores_gemma":[0.00017136494,0.00008077927,0.000019308452,0.000037423797,0.0000031536624,0.00059778185,0.0000074532563,0.000038469712,0.000009292306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005480681,0.00003069459,0.0032891924,0.0001155841,0.000021502721,7.530421e-7,0.00037666567,0.7796292,0.0021523174,0.00113024,0.0018396596,0.21140873],"study_design_scores_gemma":[0.00059950544,0.0000090741605,0.001742014,0.000009705523,0.0000033167976,1.8999417e-7,0.00004461394,0.9934565,0.0026472898,0.00089174596,0.000501728,0.00009431166],"about_ca_topic_score_codex":0.00004825071,"about_ca_topic_score_gemma":0.00020807057,"teacher_disagreement_score":0.75851023,"about_ca_system_score_codex":0.0002981561,"about_ca_system_score_gemma":0.0000068072936,"threshold_uncertainty_score":0.3294083},"labels":[],"label_agreement":null},{"id":"W2740789393","doi":"10.1109/icc.2017.7996782","title":"Shift and mutually orthogonal, multi-band pilot schemes for large-scale MIMO-OFDM systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"MIMO; Computer science; Telecommunications link; Base station; Precoding; Spectral efficiency; Orthogonal frequency-division multiplexing; Multi-user MIMO; Beamforming; Scheduling (production processes); Wireless; MIMO-OFDM; Electronic engineering; Computer network; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.025842178004048137,"score_gpt":0.26774748679689897,"score_spread":0.24190530879285083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740789393","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":[0.02472249,0.000936928,0.9702598,0.000036929716,0.0005671406,0.0007447942,0.000063630454,0.00034821866,0.0023200766],"genre_scores_gemma":[0.95835584,0.000060540155,0.03983305,0.000012043036,0.00015894797,0.00013773354,0.000022724445,0.00006526553,0.001353853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990952,0.000009711314,0.00026826063,0.00024335859,0.000084205894,0.00029927868],"domain_scores_gemma":[0.99927,0.00005240555,0.00008044966,0.00042926718,0.000068295674,0.00009955769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017764042,0.00019066388,0.0002513448,0.00005271952,0.0003015294,0.00019898842,0.0001706017,0.0000852711,0.000011775584],"category_scores_gemma":[0.00007139068,0.00017952624,0.00003538208,0.000026320135,0.000029841569,0.00043730458,0.000036282403,0.00007218651,0.0000135242135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005483884,0.0011124494,0.08499313,0.013192044,0.0015113384,0.000054164582,0.0060899984,0.6158801,0.09730976,0.1533453,0.015412726,0.010550636],"study_design_scores_gemma":[0.003688083,0.00017118144,0.0028832175,0.00024121285,0.000052177842,0.000015752037,0.0004997385,0.95793056,0.005393459,0.00014286271,0.02817581,0.0008059304],"about_ca_topic_score_codex":0.000020130841,"about_ca_topic_score_gemma":0.00027297396,"teacher_disagreement_score":0.9336333,"about_ca_system_score_codex":0.000029117502,"about_ca_system_score_gemma":0.000011057393,"threshold_uncertainty_score":0.7320867},"labels":[],"label_agreement":null},{"id":"W2741125120","doi":"10.1109/icc.2017.7996693","title":"A low complexity soft-output data detection scheme based on Jacobi method for massive MIMO uplink transmission","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computational complexity theory; MIMO; Algorithm; Computer science; Telecommunications link; Initialization; Minimum mean square error; Inversion (geology); Iterative method; Multiuser detection; Covariance matrix; Mathematical optimization; Mathematics; Estimator; Channel (broadcasting); Telecommunications; Statistics; Code division multiple access","score_opus":0.06646675149498052,"score_gpt":0.32213209113396085,"score_spread":0.2556653396389803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741125120","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":[0.00010202358,0.000017620243,0.99662864,0.00016523367,0.0003578181,0.00078063656,0.000059527985,0.00043797115,0.0014505152],"genre_scores_gemma":[0.21628101,0.000004674544,0.7829613,0.000042845637,0.00011827328,0.00007142666,0.00018458276,0.00006572826,0.00027013288],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989158,0.000028713243,0.0002683148,0.000408302,0.00012252346,0.00025635018],"domain_scores_gemma":[0.99827343,0.00013946388,0.00010836647,0.0012932292,0.00008580297,0.000099676494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032029278,0.0002180071,0.00024560906,0.000084161205,0.00035841195,0.00009379843,0.00048553353,0.00015065866,0.00004401594],"category_scores_gemma":[0.00017017416,0.00020635473,0.00006470478,0.00005466433,0.00003067627,0.0004728388,0.000044327317,0.00014621415,0.00001779797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015509837,0.00006116564,0.00001812712,0.00053031824,0.00003806573,0.0000020698674,0.00004837105,0.6927109,0.05011916,0.00023712963,0.0008084022,0.25527123],"study_design_scores_gemma":[0.0010197726,0.000054843014,0.00005521934,0.000097159296,0.000019262821,0.0000011172048,0.0000119620345,0.9342359,0.061605636,0.00021459031,0.0024522657,0.00023228452],"about_ca_topic_score_codex":0.00003421012,"about_ca_topic_score_gemma":0.000038922382,"teacher_disagreement_score":0.25503895,"about_ca_system_score_codex":0.00009780906,"about_ca_system_score_gemma":0.000020959795,"threshold_uncertainty_score":0.84149015},"labels":[],"label_agreement":null},{"id":"W2741341841","doi":"10.1007/978-3-319-57388-5_4","title":"Uplink Resource-Allocation in VWN with Massive-MIMO and Dynamic Pilot-Duration","year":2017,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"McGill University","funders":"","keywords":"Duration (music); MIMO; Computer science; Telecommunications link; Resource allocation; Mathematical optimization; Resource (disambiguation); Iterative method; Spectral efficiency; Real-time computing; Computer network; Algorithm; Mathematics","score_opus":0.005254500038269797,"score_gpt":0.1818112347234603,"score_spread":0.1765567346851905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2741341841","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":[0.0032218003,0.0028372125,0.98904103,0.000051294966,0.00019496259,0.00060920854,0.0000025545808,0.0003369558,0.0037049525],"genre_scores_gemma":[0.9635165,0.0016125322,0.029869946,0.000033437846,0.00041131186,0.00009227617,0.00006714335,0.00033330356,0.004063548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987059,0.0000066262364,0.0004089396,0.0004327755,0.00012909608,0.00031662665],"domain_scores_gemma":[0.9994826,0.0000530227,0.00008093832,0.00027091938,0.000029499177,0.00008304935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010504181,0.00039634135,0.00042870548,0.000420214,0.00004383678,0.000097691096,0.00013310798,0.00023555335,0.0000018592737],"category_scores_gemma":[0.000010604503,0.0004243953,0.00002401093,0.00006548789,0.0000294156,0.00020078142,0.000063218875,0.0005890179,0.0000022236518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030165533,0.000012078693,0.00014271322,0.00033400705,0.00004849589,0.000060395254,0.00011694019,0.94882596,0.0002636974,0.0072707334,0.000015455715,0.042879347],"study_design_scores_gemma":[0.000539512,0.00011040632,0.0014912578,0.00070830045,0.000014424332,0.000039299553,6.044497e-7,0.99464583,0.000037178004,0.00021734116,0.0016930978,0.00050275604],"about_ca_topic_score_codex":0.000013369861,"about_ca_topic_score_gemma":0.000052953234,"teacher_disagreement_score":0.9602947,"about_ca_system_score_codex":0.0002464212,"about_ca_system_score_gemma":0.000016205868,"threshold_uncertainty_score":0.99982077},"labels":[],"label_agreement":null},{"id":"W2742459009","doi":"10.1109/isit.2017.8006693","title":"Massive device connectivity with massive MIMO","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Telecommunications link; MIMO; Channel (broadcasting); Orthogonality; Base station; Exploit; False alarm; Constant false alarm rate; Real-time computing; Transmission (telecommunications); Key (lock); Random access; Coherence time; Computer network; Coherence (philosophical gambling strategy); Algorithm; Telecommunications; Mathematics; Statistics; Artificial intelligence","score_opus":0.012089094691216433,"score_gpt":0.2350523325415053,"score_spread":0.22296323785028885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742459009","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":[0.03855173,0.000043307336,0.864831,0.0001419936,0.0002565795,0.00028173043,0.0000062493223,0.00041515066,0.0954723],"genre_scores_gemma":[0.9829805,0.000007304964,0.016035514,0.000017396087,0.00006321484,0.000029773331,0.000003049914,0.000033849377,0.0008293959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950755,0.000008893992,0.000092801914,0.00014871478,0.000072410425,0.0001696437],"domain_scores_gemma":[0.99931806,0.000036034424,0.00006370328,0.00045114686,0.00007488518,0.000056147324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040234314,0.00012591919,0.0001416418,0.000028750266,0.00016452814,0.000071687144,0.00014959835,0.000053487976,0.00006047545],"category_scores_gemma":[0.00004354508,0.00010414498,0.000018446712,0.000033572374,0.000036332538,0.00046148608,0.000026904194,0.00008024161,0.00007322418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027143173,0.000021793898,0.0070598945,0.00014124649,0.00013699717,0.00005673561,0.00030341567,0.9754362,0.005765586,0.0064016553,0.0011437995,0.0035055121],"study_design_scores_gemma":[0.0037433575,0.0002157339,0.022409247,0.0003848703,0.00010279473,0.00005287635,0.0013432661,0.8446754,0.11826052,0.0010372738,0.005940133,0.0018345213],"about_ca_topic_score_codex":0.00003802289,"about_ca_topic_score_gemma":0.00021774798,"teacher_disagreement_score":0.94442874,"about_ca_system_score_codex":0.00006498258,"about_ca_system_score_gemma":0.000011294551,"threshold_uncertainty_score":0.4246909},"labels":[],"label_agreement":null},{"id":"W2742921002","doi":"10.1109/icnsc.2017.8000194","title":"Modeling Coordinated Multipoint with a dynamic Coordination Station in LTE-A mobile networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Overhead (engineering); Computer network; LTE Advanced; Enhanced Data Rates for GSM Evolution; Interference (communication); Quality of service; Mobile broadband; Mobile telephony; Cellular network; Base station; Degradation (telecommunications); Distributed computing; Telecommunications link; Mobile radio; Telecommunications; Wireless; Operating system","score_opus":0.006365934670790108,"score_gpt":0.23245338511284472,"score_spread":0.2260874504420546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2742921002","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":[0.10892644,0.00005265574,0.88931286,0.0000128778,0.00011441613,0.0005308975,0.0000021758988,0.00026567615,0.0007820268],"genre_scores_gemma":[0.9885156,0.000022721591,0.011022781,0.0000036345407,0.000014181357,0.00016117476,0.000052643707,0.00004476501,0.00016247664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993145,0.000014078174,0.00023015223,0.00017140033,0.00007256742,0.00019731773],"domain_scores_gemma":[0.999502,0.000016159805,0.00005796672,0.00029276722,0.00009503489,0.00003604383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011881075,0.0001373901,0.00015109523,0.000108329186,0.00010900889,0.000080657825,0.00011344986,0.00007677511,0.000009418997],"category_scores_gemma":[0.000024368068,0.00013034904,0.000014507258,0.00010083843,0.000015884383,0.0006549403,0.000018279943,0.00011947346,0.000005670262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013715151,0.000010753833,0.00043074432,0.000021456184,0.000008069153,0.0000027021326,0.000099882905,0.9955306,0.00037843222,0.000069045665,0.00000694928,0.0034276359],"study_design_scores_gemma":[0.00084313523,0.000027465525,0.00027379798,0.0000779971,0.000004702303,0.0000024994893,0.00016296058,0.9982938,0.00009817731,0.000038290316,0.000005368972,0.00017178817],"about_ca_topic_score_codex":0.00026278733,"about_ca_topic_score_gemma":0.0018983679,"teacher_disagreement_score":0.8795892,"about_ca_system_score_codex":0.00020651697,"about_ca_system_score_gemma":0.000008542753,"threshold_uncertainty_score":0.53154796},"labels":[],"label_agreement":null},{"id":"W2743030711","doi":"10.1109/tvt.2017.2738323","title":"Characterizing Mutual Information of Multistream MIMO-SVD Systems in Heterogeneous Random Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Computer science; Rayleigh fading; Cumulative distribution function; Channel state information; Transmitter; Mutual information; Fading; Nakagami distribution; Gaussian; Topology (electrical circuits); Algorithm; Probability density function; Electronic engineering; Telecommunications; Mathematics; Decoding methods; Channel (broadcasting); Statistics; Engineering; Wireless; Physics; Artificial intelligence","score_opus":0.006445209374433277,"score_gpt":0.2094789397359046,"score_spread":0.20303373036147132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743030711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16599494,0.00016526271,0.8320688,0.000025709875,0.0008347568,0.00045796577,0.00002271471,0.00035630012,0.00007351962],"genre_scores_gemma":[0.99882007,0.00017476322,0.0007631986,0.0000049911564,0.000020037109,0.00016426164,0.000010958078,0.000030139394,0.000011591234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989566,0.00002363967,0.0005156732,0.0001506382,0.000097501856,0.00025589936],"domain_scores_gemma":[0.9990715,0.000028270057,0.00019154318,0.0006084009,0.00006648715,0.000033792938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010817346,0.00019262417,0.00035484333,0.0004884548,0.000141041,0.000041355222,0.00026908968,0.00039726417,0.000004179174],"category_scores_gemma":[0.00001446275,0.00021273235,0.000070290334,0.00017608235,0.00009074553,0.0004848317,0.000002490177,0.00032605065,0.000017542377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033960256,0.000026330263,0.000058127272,0.000071830065,0.000041970223,0.000009624133,0.000069510475,0.97801155,0.0058146436,0.000021180884,0.000002045692,0.01583924],"study_design_scores_gemma":[0.0021113185,0.00006200791,0.00006643224,0.00020332546,0.000022185866,0.00007097369,0.00009431766,0.93879527,0.05804651,0.000007780921,0.00030043183,0.00021945532],"about_ca_topic_score_codex":0.000049489274,"about_ca_topic_score_gemma":0.00006178275,"teacher_disagreement_score":0.8328251,"about_ca_system_score_codex":0.00011530161,"about_ca_system_score_gemma":0.0000093112785,"threshold_uncertainty_score":0.8674974},"labels":[],"label_agreement":null},{"id":"W2743739549","doi":"10.4108/eai.7-8-2017.152993","title":"A Low-Complexity C-RS-Aided Channel Estimation Scheme for LTE Downlink System","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Telecommunications link; Computer science; Channel (broadcasting); Scheme (mathematics); Term (time); Algorithm; Estimation; Real-time computing; Electronic engineering; Computer network; Mathematics; Engineering","score_opus":0.03483439041243758,"score_gpt":0.27113627546323615,"score_spread":0.23630188505079858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2743739549","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":[0.0033200677,0.000028351553,0.98787814,0.000052578078,0.0006402834,0.0007657681,0.000025615529,0.0009028744,0.006386328],"genre_scores_gemma":[0.8266627,0.0000023961156,0.17253509,0.000007536218,0.00016342162,0.00016223671,0.000047634643,0.000043892767,0.00037509907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917924,0.0000078649555,0.00028426357,0.00019544907,0.000089780544,0.00024340673],"domain_scores_gemma":[0.9991147,0.000028358552,0.0001159328,0.0005672226,0.00010612988,0.00006764207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015339305,0.00016807605,0.0002237288,0.000060606842,0.0002908655,0.00012244197,0.00022234258,0.00009715115,0.000010381231],"category_scores_gemma":[0.00010485106,0.00016731374,0.00005947209,0.000039387287,0.000029781902,0.00054589804,0.00003255569,0.000063672574,0.00007721102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022654349,0.000021195328,0.000038482143,0.0021699101,0.000051562016,0.0000022036063,0.00019104595,0.9636093,0.005116387,0.025088659,0.0010196703,0.0026689493],"study_design_scores_gemma":[0.0005834401,0.000013102202,0.00009673553,0.00015522783,0.000009760085,0.000004898613,0.00005718745,0.9893295,0.008957914,0.00050613657,0.00008809201,0.00019798997],"about_ca_topic_score_codex":0.000024739307,"about_ca_topic_score_gemma":0.000027231687,"teacher_disagreement_score":0.8233426,"about_ca_system_score_codex":0.00015256314,"about_ca_system_score_gemma":0.000009986639,"threshold_uncertainty_score":0.6822856},"labels":[],"label_agreement":null},{"id":"W2744046002","doi":"10.1109/tsp.2017.2739102","title":"Optimal Joint Remote Radio Head Selection and Beamforming Design for Limited Fronthaul C-RAN","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Mathematical optimization; Computer science; Beamforming; C-RAN; Remote radio head; Telecommunications link; Subgradient method; Optimization problem; Convex optimization; Transmitter power output; Algorithm; Radio access network; Cognitive radio; Mathematics; Wireless; Transmitter; Regular polygon; Base station","score_opus":0.038203231650885634,"score_gpt":0.266072306285456,"score_spread":0.22786907463457035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744046002","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":[0.0070163067,0.00019360999,0.9914175,0.00003739221,0.0002450083,0.0005873984,0.000009057109,0.00040007208,0.00009364425],"genre_scores_gemma":[0.75544924,0.000028105787,0.24421524,0.000008752739,0.00009223298,0.000044270375,0.0000021975252,0.00006805931,0.00009191868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989252,0.000021304526,0.00031539833,0.00029727013,0.00012514784,0.0003156892],"domain_scores_gemma":[0.99942815,0.000064860185,0.0001255332,0.00017503668,0.00010802117,0.000098410914],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022042953,0.00024293087,0.0002576805,0.00017811316,0.0011489439,0.00024817834,0.00010709584,0.00014392372,0.000007771979],"category_scores_gemma":[0.000011836255,0.00026491,0.00006684788,0.00009473675,0.00004658233,0.000973641,8.894993e-7,0.0002350368,0.0000031080165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000774239,0.000014270982,0.0000011728581,0.00015626667,0.000027197599,9.115969e-7,0.00028401043,0.8311475,0.026308103,9.033523e-7,0.000010235623,0.14197202],"study_design_scores_gemma":[0.0007499048,0.00012204951,0.00000943264,0.00028420248,0.00005327689,0.000036690162,0.00007665307,0.89185685,0.106423005,0.000048362203,0.00007952,0.00026003018],"about_ca_topic_score_codex":0.00001555764,"about_ca_topic_score_gemma":0.000022772845,"teacher_disagreement_score":0.74843293,"about_ca_system_score_codex":0.00015958602,"about_ca_system_score_gemma":0.000038376525,"threshold_uncertainty_score":0.99998033},"labels":[],"label_agreement":null},{"id":"W2745204051","doi":"10.1109/lsp.2017.2738027","title":"Flexible Multiple Base Station Association and Activation for Downlink Heterogeneous Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Base station; Telecommunications link; Computer science; Transmitter power output; Proximal Gradient Methods; Cellular network; Computer network; Heterogeneous network; Wireless; Association (psychology); Power (physics); Joint (building); Wireless network; Projection (relational algebra); Real-time computing; Gradient descent; Algorithm; Telecommunications; Transmitter; Engineering; Artificial neural network; Artificial intelligence","score_opus":0.015927957549117643,"score_gpt":0.24072992777952568,"score_spread":0.22480197023040804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745204051","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":[0.06580676,0.00005981934,0.9330624,0.00029369575,0.00020395736,0.00032489552,0.000008382062,0.00021663807,0.00002345667],"genre_scores_gemma":[0.9894325,0.000007985409,0.009845861,0.00022341707,0.00028402713,0.000075462376,0.00004789279,0.000045269986,0.000037567344],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992614,0.000015005699,0.00019967632,0.00019046392,0.0001083157,0.00022514969],"domain_scores_gemma":[0.999407,0.00010190248,0.00023325603,0.0001250071,0.000088815046,0.00004405513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017189977,0.00013899237,0.00013249132,0.000058818114,0.0004266887,0.00027139077,0.0000843898,0.000095262076,0.0000015869747],"category_scores_gemma":[0.00006732694,0.00015658658,0.000027648684,0.000040927178,0.000019784997,0.0007820227,0.000006941015,0.00009717044,0.0000013732548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018932076,0.000004754515,0.0007499016,0.00011390885,0.000016443508,4.9850723e-7,0.000109395034,0.8889428,0.08744741,0.0000013020187,0.0004001539,0.022194495],"study_design_scores_gemma":[0.00056313915,0.000015058866,0.00032737243,0.000091929396,0.000016611828,0.0000013941946,0.000008928283,0.95369077,0.04487932,0.000036118883,0.00019001863,0.00017931321],"about_ca_topic_score_codex":0.000012743882,"about_ca_topic_score_gemma":0.000007427526,"teacher_disagreement_score":0.92362577,"about_ca_system_score_codex":0.00020000308,"about_ca_system_score_gemma":0.0000098400515,"threshold_uncertainty_score":0.6385415},"labels":[],"label_agreement":null},{"id":"W2745254363","doi":"10.1109/isit.2017.8006944","title":"FPLinQ: A cooperative spectrum sharing strategy for device-to-device communications","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Transmitter; Scheduling (production processes); Reuse; Power control; Optimization problem; Mathematical optimization; Interference (communication); Power optimization; Distributed computing; Throughput; Channel (broadcasting); Power (physics); Computer network; Power consumption; Wireless; Telecommunications; Engineering; Algorithm; Mathematics","score_opus":0.07381915215182623,"score_gpt":0.3395382479684388,"score_spread":0.26571909581661257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745254363","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":[0.002572209,0.00013578439,0.9370215,0.00050613383,0.00017932947,0.0009717597,0.000024893865,0.00040315517,0.058185216],"genre_scores_gemma":[0.9435453,0.00003326071,0.054377295,0.00005445748,0.000084197505,0.0002254342,0.000027649006,0.00004872893,0.0016036653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931693,0.000007150527,0.00022361038,0.00018245315,0.000049310845,0.00022057228],"domain_scores_gemma":[0.99839157,0.000056922643,0.000053299882,0.0013149915,0.00010106263,0.00008216088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010842884,0.00013946032,0.00016754835,0.000052351388,0.00046690457,0.00020179662,0.0007385621,0.00005630467,0.000032904067],"category_scores_gemma":[0.00007329792,0.0001434327,0.000032732576,0.00006748316,0.000026724601,0.0004183362,0.00015099006,0.00009575644,0.000089020374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071651693,0.000019923575,0.00037465623,0.00007957779,0.00005883043,5.6499556e-7,0.00040564776,0.9618107,0.002158795,0.03274889,0.00062504626,0.0017102002],"study_design_scores_gemma":[0.00051601254,0.000050647912,0.0005691512,0.00008767197,0.000019570163,0.0000030190486,0.00036883884,0.9854658,0.0050424286,0.000702673,0.006821617,0.0003525567],"about_ca_topic_score_codex":0.00006379343,"about_ca_topic_score_gemma":0.0014922575,"teacher_disagreement_score":0.9409731,"about_ca_system_score_codex":0.00008590118,"about_ca_system_score_gemma":0.000016681472,"threshold_uncertainty_score":0.5849016},"labels":[],"label_agreement":null},{"id":"W2746584267","doi":"10.1016/j.image.2017.08.002","title":"Power and sub-channel optimization of JPEG 2000 image transmission over OFDM-based cognitive radio networks","year":2017,"lang":"en","type":"article","venue":"Signal Processing Image Communication","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":"Simon Fraser University","funders":"","keywords":"Cognitive radio; Computer science; Channel (broadcasting); Bandwidth (computing); Orthogonal frequency-division multiplexing; JPEG; Transmission (telecommunications); Image quality; Quantization (signal processing); Computer network; Electronic engineering; Real-time computing; Wireless; Telecommunications; Algorithm; Image (mathematics); Artificial intelligence; Data compression; Engineering","score_opus":0.009308912579930752,"score_gpt":0.24785853287787113,"score_spread":0.23854962029794038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746584267","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":[0.0027849819,0.0037624144,0.9906275,0.000053096286,0.00003066115,0.00035937387,0.0000104004985,0.00016611019,0.0022054336],"genre_scores_gemma":[0.9429757,0.00043698004,0.056316376,0.000014295424,0.000021485384,0.0000304964,0.00011507556,0.00006731819,0.000022262642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989618,0.0000874446,0.0003917485,0.00020890721,0.00014813645,0.00020193556],"domain_scores_gemma":[0.99863595,0.00009574323,0.00034842052,0.00049937057,0.0003467547,0.00007377107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029201535,0.000216929,0.000254972,0.000109577166,0.000478941,0.00020526064,0.00031638917,0.00014037084,0.000039001396],"category_scores_gemma":[0.000060596878,0.0002345583,0.000045505138,0.00012170383,0.00026249318,0.0014104769,0.0000508372,0.00023266439,0.0000014319813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009631724,0.00005697928,0.00005889775,0.00028381145,0.000020695457,0.0000013220252,0.0006695777,0.9611279,0.01927082,0.000005915862,0.000064465574,0.018343294],"study_design_scores_gemma":[0.0009547096,0.00003445076,0.0005175299,0.0008943989,0.00003958083,0.0000032981168,0.00008488547,0.98204255,0.015100807,0.00007055604,0.000017325247,0.00023987936],"about_ca_topic_score_codex":0.000012021278,"about_ca_topic_score_gemma":0.0000022940806,"teacher_disagreement_score":0.94019073,"about_ca_system_score_codex":0.00007306724,"about_ca_system_score_gemma":0.0000529871,"threshold_uncertainty_score":0.956501},"labels":[],"label_agreement":null},{"id":"W2747522389","doi":"10.5555/3107979.3107980","title":"Modeling and simulation of user mobility and handover in LTE and beyond mobile networks using DEVS formalism","year":2017,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; DEVS; Computer science; Mobility model; Computer network; Formalism (music); Cellular network; Mobility management; Mobile telephony; User equipment; Distributed computing; Mobile radio; Base station; Modeling and simulation; Simulation","score_opus":0.023853976491934978,"score_gpt":0.27856996755849245,"score_spread":0.25471599106655746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747522389","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":[0.7110124,0.012352202,0.2758672,0.000017279066,0.00008756316,0.0003695531,0.0000035001237,0.00003451589,0.00025576368],"genre_scores_gemma":[0.9859409,0.0089649325,0.004997662,0.0000062672757,0.000035695106,0.000021622536,0.000008537349,0.000020126647,0.000004300486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993617,0.000036881047,0.0002840739,0.00013901672,0.000038675844,0.00013966687],"domain_scores_gemma":[0.9990814,0.00011703262,0.000092238755,0.00062382786,0.000042903965,0.00004259963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000265278,0.000117244745,0.00019637887,0.000057486202,0.0003682005,0.00009727883,0.0001256348,0.0000934406,2.73655e-7],"category_scores_gemma":[0.0000070456167,0.0001284346,0.000011609173,0.000053817257,0.00012605141,0.00045676657,0.0002649773,0.00012905117,2.090375e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000595416,0.0000075491507,0.009739057,0.000046019617,0.000009342915,9.9596654e-8,0.00042462483,0.98581755,0.00037119407,0.00010130354,4.006595e-7,0.0034769215],"study_design_scores_gemma":[0.0003826957,0.000012006514,0.0007172623,0.00015085099,0.000020581729,0.0000037551756,0.00006467532,0.9982552,0.0000127234225,0.00014936562,0.00010988198,0.00012099587],"about_ca_topic_score_codex":0.00007760491,"about_ca_topic_score_gemma":0.00015259883,"teacher_disagreement_score":0.27492842,"about_ca_system_score_codex":0.000024344023,"about_ca_system_score_gemma":0.0000046725927,"threshold_uncertainty_score":0.5237411},"labels":[],"label_agreement":null},{"id":"W2747978334","doi":"","title":"Interference Mitigation for Cellular Networks: Fundamental Limits and Applications","year":2013,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Toronto","keywords":"Interference (communication); Cellular network; Computer science; Telecommunications; Channel (broadcasting)","score_opus":0.007737494475086232,"score_gpt":0.2120967468127513,"score_spread":0.20435925233766508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747978334","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":[0.020503392,0.0038855886,0.95981854,0.0000111271265,0.00033696223,0.0014663372,0.000040994648,0.00017899604,0.013758032],"genre_scores_gemma":[0.98055315,0.0011277379,0.00991294,0.0000017445437,0.000082468614,0.000020431358,0.0012099779,0.0000419494,0.007049603],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995114,0.000009631628,0.00010100466,0.00018926301,0.000058867292,0.00012982164],"domain_scores_gemma":[0.9995152,0.000031511885,0.00013021303,0.00015585497,0.000109051565,0.000058180372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030922198,0.00015700042,0.00021363814,0.000035195055,0.00009066305,0.000014806858,0.00012626866,0.00019442741,0.0004211829],"category_scores_gemma":[0.000003243428,0.00022726593,0.000052246814,0.000034665165,0.000025966114,0.00037845218,0.000011693235,0.00007312766,0.0000051704287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040131973,0.0002109601,0.00039410975,0.009235285,0.0012053883,0.000003925047,0.045775622,0.26216045,0.09362987,0.008659457,0.00669912,0.5716245],"study_design_scores_gemma":[0.0024647603,0.00035006102,0.011504309,0.0012587467,0.0006706719,0.0000034553343,0.098990515,0.8723204,0.0044134087,0.00020316853,0.005932554,0.0018879332],"about_ca_topic_score_codex":0.0017852023,"about_ca_topic_score_gemma":0.0078114383,"teacher_disagreement_score":0.96004975,"about_ca_system_score_codex":0.00020681457,"about_ca_system_score_gemma":0.000013208272,"threshold_uncertainty_score":0.92676353},"labels":[],"label_agreement":null},{"id":"W2748476900","doi":"10.1109/tvt.2017.2743058","title":"Efficient Resource Allocation in Device-to-Device Communication Using Cognitive Radio Technology","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Underlay; Cognitive radio; Computer science; Subcarrier; Overlay; Interference (communication); Resource allocation; Computer network; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Electronic engineering; Wireless; Signal-to-noise ratio (imaging); Engineering; Telecommunications","score_opus":0.01639104819512479,"score_gpt":0.26544169016277636,"score_spread":0.24905064196765156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748476900","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3559952,0.00022723772,0.6417202,0.0005110261,0.00012327895,0.0005908962,0.0000074920736,0.0006605874,0.00016410575],"genre_scores_gemma":[0.9866296,0.000045626562,0.0129300915,0.00003168691,0.000011370298,0.00025252637,0.0000056217523,0.00006923896,0.000024231853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867463,0.000050301107,0.0004042784,0.00037660528,0.00013166193,0.0003625184],"domain_scores_gemma":[0.9984218,0.0000536939,0.00013384348,0.0011864568,0.00015031006,0.00005390857],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020237225,0.00025177014,0.00031062058,0.001435069,0.00047408335,0.000040299543,0.0005773085,0.00054554857,0.000006745507],"category_scores_gemma":[0.0000585713,0.00030590917,0.00005001152,0.0009286489,0.00019988322,0.00011953401,0.000009824781,0.0006378167,0.00006410496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015927271,0.000070937065,0.000072550785,0.00003084155,0.00003636675,0.000007963543,0.00014029496,0.9667642,0.020602418,0.00015994943,0.0000026951548,0.012095824],"study_design_scores_gemma":[0.0011166898,0.00008175009,0.00012656838,0.0005952689,0.00006596451,0.00007036595,0.000899529,0.818492,0.17738289,0.00013752688,0.0005704782,0.00046099102],"about_ca_topic_score_codex":0.000042564247,"about_ca_topic_score_gemma":0.000203681,"teacher_disagreement_score":0.6306344,"about_ca_system_score_codex":0.00041668228,"about_ca_system_score_gemma":0.000027232149,"threshold_uncertainty_score":0.9999393},"labels":[],"label_agreement":null},{"id":"W2749760377","doi":"10.1049/iet-com.2017.0454","title":"Pilot contamination mitigation strategies in massive MIMO systems","year":2017,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Contamination; MIMO; Computer science; Environmental science; Risk analysis (engineering); Business; Telecommunications; Channel (broadcasting)","score_opus":0.030638082079850328,"score_gpt":0.28781564626837114,"score_spread":0.25717756418852084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2749760377","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":[0.056342427,0.004652024,0.7164999,0.0017109341,0.0021334216,0.0026029882,0.00008084864,0.0012256908,0.21475177],"genre_scores_gemma":[0.99486744,0.00036430397,0.0041858214,0.00000474216,0.00003282509,0.00024429747,0.000101230464,0.000026412254,0.00017294794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931216,0.000071434566,0.00029457366,0.00010441565,0.00007961708,0.00013782023],"domain_scores_gemma":[0.99796283,0.00010438043,0.00014254257,0.0016433158,0.0001145199,0.000032390795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015816896,0.000109735774,0.00013943776,0.00010098049,0.00031486276,0.0002472333,0.00068715925,0.00005017347,0.0000036273343],"category_scores_gemma":[0.00009463182,0.00012958387,0.0000199078,0.00008129778,0.00009179613,0.00096518314,0.00007958571,0.00016587421,0.000029293615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061027195,0.00009181914,0.0038317412,0.00014845926,0.000041183084,0.000002329776,0.0015298689,0.8333434,0.008640203,0.14975084,0.0005406094,0.002073479],"study_design_scores_gemma":[0.0009506682,0.000048598962,0.029192396,0.00040148344,0.000018651901,0.0000054867014,0.002852746,0.9606711,0.0005089209,0.0020315417,0.002937012,0.0003813514],"about_ca_topic_score_codex":0.00023137746,"about_ca_topic_score_gemma":0.001428456,"teacher_disagreement_score":0.938525,"about_ca_system_score_codex":0.00016297102,"about_ca_system_score_gemma":0.000026937243,"threshold_uncertainty_score":0.5284277},"labels":[],"label_agreement":null},{"id":"W2750611814","doi":"10.1049/iet-com.2017.0489","title":"Green‐oriented user‐satisfaction aware WiFi offloading in HetNets","year":2017,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; User satisfaction; Computer network; Heterogeneous network; Wireless; Human–computer interaction; Wireless network; Telecommunications","score_opus":0.027952244557068177,"score_gpt":0.2905056139741353,"score_spread":0.26255336941706714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750611814","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":[0.18288818,0.0020645778,0.7385876,0.0028860036,0.0022320347,0.0020076837,0.00013359346,0.0022227166,0.06697761],"genre_scores_gemma":[0.98978037,0.0003300622,0.009342528,0.00001118776,0.000031819953,0.00008881596,0.00005142318,0.000034814242,0.0003289569],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993342,0.000044645658,0.0002627091,0.000118606855,0.00007358652,0.00016620805],"domain_scores_gemma":[0.9974325,0.000056529756,0.000097911245,0.0023039987,0.000063920335,0.000045150515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113068025,0.00011362061,0.00013592037,0.00014210441,0.00041276807,0.00006029434,0.000585909,0.000079531055,0.000012441822],"category_scores_gemma":[0.000069516296,0.00013912118,0.000029977593,0.00015480882,0.00006216064,0.0006222898,0.00014474157,0.00022127625,0.000052123967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020667212,0.00017098637,0.29606488,0.00024558778,0.00015543344,0.000008225682,0.00517755,0.58755594,0.014980483,0.029212428,0.0032482743,0.063159555],"study_design_scores_gemma":[0.0012331029,0.000024578045,0.20983578,0.00043248598,0.000027291258,0.00001687833,0.0005380289,0.7567729,0.00097384845,0.0008236411,0.028665397,0.0006561113],"about_ca_topic_score_codex":0.0005709769,"about_ca_topic_score_gemma":0.0044248383,"teacher_disagreement_score":0.8068922,"about_ca_system_score_codex":0.00016190983,"about_ca_system_score_gemma":0.000012356545,"threshold_uncertainty_score":0.56731975},"labels":[],"label_agreement":null},{"id":"W2750780858","doi":"10.3390/electronics6030063","title":"Massive MIMO Wireless Networks: An Overview","year":2017,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"MIMO; Beamforming; Precoding; Computer science; Multi-user MIMO; 3G MIMO; Electronic engineering; Wireless; Overhead (engineering); Broadband; Key (lock); Computer engineering; Telecommunications; Engineering","score_opus":0.015644734106847306,"score_gpt":0.26153073311721475,"score_spread":0.24588599901036745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750780858","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":[0.028409095,0.07628118,0.88548183,0.00010739866,0.001345258,0.00055881887,0.0000075645903,0.0010275489,0.0067813243],"genre_scores_gemma":[0.9873828,0.010234848,0.0016378361,0.00002879465,0.00031109518,0.000030234489,0.000025272666,0.000078212244,0.00027086612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992551,0.000015773903,0.00014189526,0.00015427568,0.00007122356,0.0003617222],"domain_scores_gemma":[0.9991979,0.000011244487,0.000070736845,0.00061860547,0.00003667427,0.00006486762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007937637,0.00013747135,0.00015670568,0.000023311299,0.00019242683,0.000093117356,0.00029484826,0.00008912908,0.000018453755],"category_scores_gemma":[0.000013910938,0.00014962998,0.000033206194,0.0000446199,0.000019630499,0.000445161,0.000026071068,0.00017949226,0.000022863958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042861666,0.0000114429085,0.00013347171,0.00004109584,0.000032827673,0.00000530814,0.00006270859,0.9573748,0.0007187266,0.008020215,0.000561598,0.033033498],"study_design_scores_gemma":[0.0002917379,0.000053601667,0.00020150718,0.000050915874,0.000015663307,0.0000064349183,0.000014301967,0.9747722,0.0014005642,0.00066506286,0.022239719,0.00028826692],"about_ca_topic_score_codex":0.0000034479597,"about_ca_topic_score_gemma":0.00013763025,"teacher_disagreement_score":0.95897377,"about_ca_system_score_codex":0.00015225301,"about_ca_system_score_gemma":0.000022338492,"threshold_uncertainty_score":0.61017334},"labels":[],"label_agreement":null},{"id":"W2750882047","doi":"10.1109/tvt.2017.2749600","title":"Equilibriums in the Mobile-Virtual-Network-Operator-Oriented Data Offloading","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"Shanghai Key Laboratory of Digital Media Processing and Transmission; Universidade de Macau; National Natural Science Foundation of China","keywords":"Stackelberg competition; Cellular network; Computer science; Computer network; Cournot competition; Mobile network operator; Operator (biology); Game theory; Microeconomics; Economics","score_opus":0.016875932612160284,"score_gpt":0.25753515364719426,"score_spread":0.24065922103503398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750882047","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06531274,0.00027142474,0.9317444,0.0001985723,0.0009417626,0.00057396386,0.00003429152,0.0006444086,0.00027846394],"genre_scores_gemma":[0.9970383,0.00014290414,0.0023654704,0.000031126136,0.00006197763,0.00023970091,0.000015640922,0.00005246985,0.000052433617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874324,0.000043457443,0.00031151096,0.00037505434,0.00014172256,0.0003850464],"domain_scores_gemma":[0.9973308,0.000048685048,0.00006665597,0.0024846392,0.000037510417,0.0000316973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028588876,0.0002152959,0.00024035336,0.0002531797,0.0003765871,0.00006518974,0.0012702261,0.0003113685,0.000015465559],"category_scores_gemma":[0.00002015866,0.00018956342,0.000042767664,0.00041997145,0.00015187592,0.00046293897,0.000011392327,0.0005900296,0.00005630153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006366184,0.000038175058,0.000057548135,0.000012519675,0.00003896394,0.000028417124,0.00007348054,0.984152,0.0041448846,0.0004580566,0.00012125501,0.010868325],"study_design_scores_gemma":[0.0011098471,0.0001700812,0.000050508992,0.00018406117,0.00006105358,0.00010428879,0.00052099314,0.9653225,0.02007173,0.00018534646,0.011693574,0.0005260108],"about_ca_topic_score_codex":0.0000149864545,"about_ca_topic_score_gemma":0.00014295081,"teacher_disagreement_score":0.93172556,"about_ca_system_score_codex":0.00008866574,"about_ca_system_score_gemma":0.000016790622,"threshold_uncertainty_score":0.77301717},"labels":[],"label_agreement":null},{"id":"W2751515019","doi":"10.1109/access.2017.2746666","title":"A Framework for Joint Wireless Network Virtualization and Cloud Radio Access Networks for Next Generation Wireless Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; IBM (Canada)","funders":"","keywords":"Computer science; Computer network; Cloud computing; Virtualization; Provisioning; Wireless network; Cellular network; Wireless; Quality of service; Throughput; Radio resource management; Distributed computing; Radio access network; Base station; Telecommunications; Operating system","score_opus":0.07069819409238699,"score_gpt":0.3157518067950974,"score_spread":0.24505361270271042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751515019","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":[0.021639379,0.00096060714,0.96464443,0.000069928275,0.009992649,0.0022504455,0.00002219274,0.00037019534,0.0000501426],"genre_scores_gemma":[0.9688745,0.0011293136,0.015060246,0.00015423151,0.013179281,0.0011187342,0.0002084391,0.0002275562,0.00004768157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978255,0.000051638228,0.0006748734,0.00058863516,0.00015710542,0.0007022408],"domain_scores_gemma":[0.9979539,0.00028730446,0.00049103034,0.00083097274,0.00026379208,0.00017299464],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00043836283,0.00044352602,0.00058973295,0.000091476795,0.0010767197,0.0021495412,0.0008373331,0.0005232876,0.0000059438644],"category_scores_gemma":[0.00012221611,0.00048506763,0.00012035379,0.00020596138,0.00008808905,0.002816615,0.00013732251,0.0002627435,8.749418e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056042296,0.000015740212,0.00059281447,0.00017709943,0.00008090202,0.0000011528232,0.00007635675,0.970396,0.00021759237,0.0041560326,0.0064566284,0.017773638],"study_design_scores_gemma":[0.0009169636,0.00004790568,0.00024960988,0.0002954117,0.000077763834,0.0000049563414,0.000012655062,0.99439925,0.0009463508,0.0018424086,0.00064344873,0.0005632788],"about_ca_topic_score_codex":0.000027653046,"about_ca_topic_score_gemma":0.00014623902,"teacher_disagreement_score":0.9495842,"about_ca_system_score_codex":0.00014003729,"about_ca_system_score_gemma":0.000027737467,"threshold_uncertainty_score":0.9997601},"labels":[],"label_agreement":null},{"id":"W2752126691","doi":"10.1109/cjece.2017.2661860","title":"Pilot Decontamination in TDD Multicell Massive MIMO Systems With Infinite Number of BS Antennas","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Telecommunications link; MIMO; Base station; Computer science; Duplex (building); Computer network; Electronic engineering; Channel (broadcasting); Topology (electrical circuits); Mathematics; Engineering","score_opus":0.006559194921862849,"score_gpt":0.18953406594135525,"score_spread":0.1829748710194924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752126691","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":[0.3507543,0.0006436612,0.6479925,0.000011084687,0.00036028048,0.00010369651,0.0000021754527,0.000011368789,0.00012096495],"genre_scores_gemma":[0.9934987,0.000032076838,0.0063250284,0.000003226792,0.000105673906,0.0000022582283,7.359647e-7,0.000019804287,0.000012492183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934083,0.000009794215,0.00030484522,0.00007342133,0.00006582847,0.00020528406],"domain_scores_gemma":[0.99942297,0.00006514651,0.00013042863,0.00010170653,0.00011286759,0.00016689095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087819346,0.00011438666,0.00024384554,0.0002441733,0.0000373585,0.00006709612,0.00013065424,0.000038975602,0.0000015140379],"category_scores_gemma":[0.000041783853,0.00010630827,0.000020707705,0.00010900883,0.00001650457,0.0002621715,0.000005891336,0.00018497244,6.043941e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000088172155,0.0000060762604,0.012276048,0.00009473778,0.000036991107,0.00010523249,0.00011922192,0.9841801,0.00042236055,0.0005113083,0.000015634952,0.002223508],"study_design_scores_gemma":[0.00066312274,0.00013788734,0.017745947,0.0003820362,0.000011287217,0.00014880019,0.000007687985,0.98043644,0.00015609612,0.000006944708,0.00016523262,0.0001385412],"about_ca_topic_score_codex":0.00051979057,"about_ca_topic_score_gemma":0.0006572727,"teacher_disagreement_score":0.6427444,"about_ca_system_score_codex":0.000118896394,"about_ca_system_score_gemma":0.0000574827,"threshold_uncertainty_score":0.43351254},"labels":[],"label_agreement":null},{"id":"W2753344520","doi":"10.1109/tcsii.2017.2749377","title":"Spectral Efficiency Maximization of Multiuser Massive MIMO Systems With Finite-Dimensional Channel via Control of Users’ Power","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Spectral efficiency; Telecommunications link; MIMO; Maximization; Fading; Upper and lower bounds; Transmitter power output; Base station; Channel (broadcasting); Computer science; Power control; Transmission (telecommunications); Power (physics); Constraint (computer-aided design); Control theory (sociology); Antenna (radio); Mathematics; Algorithm; Mathematical optimization; Telecommunications; Control (management); Physics; Transmitter","score_opus":0.010437904748359745,"score_gpt":0.20717243015567705,"score_spread":0.1967345254073173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753344520","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":[0.024139412,0.00035037525,0.97018504,0.000010942037,0.0025959793,0.0016340658,0.0004319352,0.00024584416,0.00040639433],"genre_scores_gemma":[0.9988916,0.000017759075,0.00027466624,0.000005552457,0.00008582335,0.00024308621,0.000012944369,0.0001399039,0.0003286936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99723893,0.00012209243,0.001024267,0.0005095938,0.0006175363,0.00048755988],"domain_scores_gemma":[0.9972193,0.00020480019,0.00074781565,0.0011242251,0.00053688604,0.00016694034],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024337812,0.00048483897,0.0008873024,0.00035980216,0.00047169827,0.00008353352,0.0004634157,0.00028409515,0.000020577223],"category_scores_gemma":[0.000025364703,0.00046784538,0.00016608567,0.00022923651,0.00019096275,0.00068722444,0.0000037644006,0.00029121383,0.000010661011],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000774155,0.00018483802,0.00004750676,0.00051389646,0.00024007255,0.000010794515,0.0010013541,0.9653462,0.032406762,0.00006640162,0.000027451793,0.000077284414],"study_design_scores_gemma":[0.0041616443,0.00045695336,0.00017487642,0.0015618262,0.00018070065,0.00006420787,0.00040808046,0.9558865,0.036330383,0.0000050558956,0.00006977103,0.0007000158],"about_ca_topic_score_codex":0.00039322357,"about_ca_topic_score_gemma":0.000026546059,"teacher_disagreement_score":0.9747522,"about_ca_system_score_codex":0.00017256058,"about_ca_system_score_gemma":0.000072055685,"threshold_uncertainty_score":0.9997773},"labels":[],"label_agreement":null},{"id":"W2753471900","doi":"10.1109/lwc.2017.2747555","title":"Effective Small Social Community Aware D2D Resource Allocation Underlaying Cellular Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Exploit; Computer science; Resource allocation; Bipartite graph; Matching (statistics); Cellular network; Resource management (computing); Distributed computing; Graph; Resource (disambiguation); Computer network; Computer security; Theoretical computer science; Mathematics","score_opus":0.030334745496058302,"score_gpt":0.25524594467233774,"score_spread":0.22491119917627944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753471900","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":[0.19470818,0.0001548167,0.80077046,0.0014503478,0.00030686866,0.0006051726,0.000010407617,0.0005486341,0.0014450826],"genre_scores_gemma":[0.9967513,0.000069628964,0.0021871526,0.0002436816,0.00018039258,0.0002619126,0.00018054363,0.00009955523,0.00002579546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984187,0.00057464314,0.00036723432,0.00018051968,0.000121591125,0.0003373043],"domain_scores_gemma":[0.9959615,0.0003719993,0.0002607576,0.0032389478,0.000096724434,0.00007010635],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0004722971,0.00026644432,0.00029159724,0.000106711464,0.003389203,0.00022868124,0.0020659417,0.00017925889,0.0000020392497],"category_scores_gemma":[0.00002942949,0.000333047,0.00009825014,0.00014581007,0.0003327456,0.00038845505,0.00028735292,0.0009664913,0.000018060739],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013426898,0.00009029673,0.000879283,0.00014052457,0.00017981,0.0000026968687,0.0033715423,0.9183548,0.04857452,0.0005564329,0.0017019985,0.026134653],"study_design_scores_gemma":[0.0007783354,0.00001654797,0.0026009865,0.00022501414,0.00007351005,0.000005373838,0.000989035,0.98867583,0.0043116407,0.00005155627,0.0016064058,0.0006657469],"about_ca_topic_score_codex":0.0002585073,"about_ca_topic_score_gemma":0.00035746564,"teacher_disagreement_score":0.80204314,"about_ca_system_score_codex":0.00035810607,"about_ca_system_score_gemma":0.000011883417,"threshold_uncertainty_score":0.99991214},"labels":[],"label_agreement":null},{"id":"W2753610083","doi":"10.1109/jsyst.2017.2741976","title":"Distributed Transmission Scheduling and Power Allocation in CoMP","year":2017,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Computer science; Orthogonalization; Scheduling (production processes); Precoding; Base station; Distributed computing; Fair-share scheduling; Computer network; Mathematical optimization; Channel (broadcasting); Algorithm; Mathematics; Quality of service; MIMO","score_opus":0.013234378150525378,"score_gpt":0.24759936169180097,"score_spread":0.23436498354127558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2753610083","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":[0.14331298,0.0009707297,0.8538865,0.000044962962,0.0012449259,0.00015563249,0.0000042899687,0.00005403519,0.00032594238],"genre_scores_gemma":[0.9982263,0.00012207923,0.0014487946,0.0000018634449,0.00014414875,0.000005841315,0.0000033002714,0.000024033227,0.000023635454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921805,0.000036978676,0.000354456,0.00010025038,0.000114970506,0.00017530848],"domain_scores_gemma":[0.99950683,0.000015840029,0.0001384702,0.00017551043,0.00006387945,0.0000994427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003174581,0.000114525465,0.0001862287,0.00009036262,0.00022889864,0.00022579194,0.00013010512,0.000086918706,0.0000031521424],"category_scores_gemma":[0.00002626982,0.00010895778,0.000023069832,0.000042636213,0.000019829387,0.0004999786,0.000006026663,0.00022334172,0.0000046103196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005444882,0.0000059234917,0.0014997589,0.00006846449,0.000011805333,0.000015503483,0.00018203785,0.98800296,0.009311066,0.000034438966,0.00006107784,0.0008015101],"study_design_scores_gemma":[0.0012323406,0.000025178866,0.0053289575,0.0010613888,0.000009754481,0.0004903582,0.00016048155,0.98911136,0.0011316496,0.00008813181,0.0010995658,0.0002608284],"about_ca_topic_score_codex":0.000016991296,"about_ca_topic_score_gemma":0.000005625164,"teacher_disagreement_score":0.8549133,"about_ca_system_score_codex":0.00011441816,"about_ca_system_score_gemma":0.000013661979,"threshold_uncertainty_score":0.44431692},"labels":[],"label_agreement":null},{"id":"W2754248592","doi":"10.1109/icccn.2017.8038452","title":"Downlink Channel Estimation in Massive MIMO FDD Systems Using Block-ADMM","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Telecommunications link; Computer science; Overhead (engineering); MIMO-OFDM; Duplex (building); Channel (broadcasting); Block (permutation group theory); Multi-user MIMO; 3G MIMO; Orthogonal frequency-division multiplexing; Compressed sensing; Electronic engineering; Computer network; Computer engineering; Algorithm; Engineering; Mathematics","score_opus":0.02015992272557204,"score_gpt":0.25829340432287046,"score_spread":0.2381334815972984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754248592","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":[0.03340042,0.00021398316,0.9574401,0.0000349903,0.0012188392,0.0005252795,0.000007179416,0.00032045986,0.0068387697],"genre_scores_gemma":[0.98529,0.000013290664,0.014265479,0.000004150557,0.00010094747,0.000030326279,0.000009536323,0.000039085473,0.00024718206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918574,0.00001561686,0.0002985446,0.00017102915,0.000099834724,0.00022922305],"domain_scores_gemma":[0.9993427,0.000020926887,0.00010920358,0.00042077876,0.000054371998,0.000052023915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012079655,0.00015466637,0.00020574631,0.00012804418,0.00013078158,0.00012891376,0.00016632203,0.00011682376,0.0000077069535],"category_scores_gemma":[0.00007465763,0.00015864678,0.000025701542,0.00007173094,0.00001939943,0.00056758506,0.000033817985,0.00010227794,0.00003734593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017394536,0.0000052831197,0.00015641525,0.000090601185,0.000009031429,0.0000065317013,0.000121895064,0.9975237,0.0015928707,0.00023618071,0.0000486214,0.00020709807],"study_design_scores_gemma":[0.0003148028,0.000006035913,0.00017138655,0.00018012559,0.000006884257,0.000010886659,0.0001221658,0.9976323,0.0012743416,0.000057393245,0.00003984012,0.00018379027],"about_ca_topic_score_codex":0.00019940083,"about_ca_topic_score_gemma":0.000065778724,"teacher_disagreement_score":0.9518896,"about_ca_system_score_codex":0.00019924453,"about_ca_system_score_gemma":0.0000126510595,"threshold_uncertainty_score":0.6469428},"labels":[],"label_agreement":null},{"id":"W2754638417","doi":"10.1109/twc.2017.2751467","title":"A Novel Approach for QoS-Aware Joint User Association, Resource Block and Discrete Power Allocation in HetNets","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Ontario Ministry of Economic Development and Innovation","keywords":"Computer science; Resource allocation; Base station; Heterogeneous network; Quality of service; Mathematical optimization; Block (permutation group theory); Computer network; Convex optimization; Handover; Distributed computing; Regular polygon; Wireless; Wireless network; Mathematics; Telecommunications","score_opus":0.026345097630255183,"score_gpt":0.258328624520594,"score_spread":0.23198352689033883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754638417","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":[0.0048014363,0.000086326385,0.9921369,0.0007159174,0.00015778409,0.0008824178,0.00014043966,0.000205968,0.0008727866],"genre_scores_gemma":[0.9712785,0.00023779039,0.027123304,0.000030250221,0.000021354252,0.00076014234,0.000048855203,0.000067311885,0.00043250248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998901,0.00005453268,0.00041448572,0.0002481572,0.0001348138,0.0002470175],"domain_scores_gemma":[0.99776137,0.0001811625,0.00018593928,0.0016618286,0.00013618357,0.00007349482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027848058,0.0002028062,0.00025235192,0.00017837182,0.00077147916,0.00013598334,0.0005152546,0.00018286561,0.0000026638504],"category_scores_gemma":[0.00002955855,0.00023589093,0.00007149986,0.00014127181,0.00007924501,0.00043198856,0.000009274551,0.00033569272,0.0000034908269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017162192,0.00023425186,0.00012232551,0.000078533056,0.00009320462,1.3934351e-7,0.0011281531,0.99131846,0.0046773218,0.00039533403,0.00023927318,0.0016958319],"study_design_scores_gemma":[0.001640669,0.000039502214,0.0015249253,0.00016377204,0.00005899883,0.000008268024,0.00056054466,0.99021643,0.0030535164,0.00002932796,0.0022439929,0.0004600611],"about_ca_topic_score_codex":0.00007307111,"about_ca_topic_score_gemma":0.0005071381,"teacher_disagreement_score":0.96647704,"about_ca_system_score_codex":0.00033146606,"about_ca_system_score_gemma":0.000023143451,"threshold_uncertainty_score":0.9619353},"labels":[],"label_agreement":null},{"id":"W2755368128","doi":"10.1109/tcomm.2017.2753773","title":"Impact of Residual Additive Transceiver Hardware Impairments on Rayleigh-Product MIMO Channels With Linear Receivers: Exact and Asymptotic Analyses","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; South African National Space Agency; Imperial College London","keywords":"Transceiver; Residual; Ergodic theory; Channel (broadcasting); MIMO; Computer science; Signal-to-noise ratio (imaging); Mathematics; Control theory (sociology); Electronic engineering; Algorithm; Telecommunications; Engineering; Wireless","score_opus":0.05009689214093845,"score_gpt":0.3309077766235376,"score_spread":0.28081088448259917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755368128","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":[0.29811463,0.00070462003,0.69055164,0.0004236764,0.00053422747,0.0021230772,0.0022258537,0.0006410938,0.004681152],"genre_scores_gemma":[0.9933536,0.0014760843,0.0047835447,0.0000051199077,0.00003089839,0.00008757083,0.00004841713,0.000057849484,0.00015691068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998944,0.00010079961,0.00030161082,0.00026340134,0.00016922946,0.00022096577],"domain_scores_gemma":[0.99732155,0.00018559197,0.00016044496,0.002047147,0.00018026339,0.00010501647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100136356,0.00027258776,0.0003339519,0.0002617987,0.0006570926,0.000056819837,0.0005518095,0.000083943196,0.00005238893],"category_scores_gemma":[0.000014444053,0.00024463068,0.000120814795,0.00018853627,0.00026051304,0.00054251374,0.000003735836,0.00033690906,0.000014841756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015533184,0.0003040845,0.00014927798,0.000039430764,0.0007107083,0.000002615861,0.0013207217,0.98859996,0.0031931547,0.000013107001,0.000112161484,0.005399435],"study_design_scores_gemma":[0.018248638,0.008265399,0.090301566,0.005252384,0.0032828357,0.00020245675,0.0037311052,0.50511736,0.3592041,0.00025630544,0.0012677092,0.0048701526],"about_ca_topic_score_codex":0.00019962665,"about_ca_topic_score_gemma":0.00016898458,"teacher_disagreement_score":0.69523895,"about_ca_system_score_codex":0.00013575559,"about_ca_system_score_gemma":0.000047409776,"threshold_uncertainty_score":0.9975749},"labels":[],"label_agreement":null},{"id":"W2755699197","doi":"10.1016/j.future.2017.08.008","title":"Energy-efficient traffic offloading for mobile users in two-tier heterogeneous wireless networks","year":2017,"lang":"en","type":"article","venue":"Future Generation Computer Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Science and Technology Planning Project of Guangdong Province; Natural Sciences and Engineering Research Council of Canada; National High-tech Research and Development Program; Canada Foundation for Innovation","keywords":"Computer science; Heterogeneous network; Wireless network; Handover; Computer network; Energy consumption; Scheduling (production processes); Wireless; Heterogeneous wireless network; Efficient energy use; Cellular traffic; Cellular network; Distributed computing; Mathematical optimization; Telecommunications","score_opus":0.01068498341529432,"score_gpt":0.23059504255426372,"score_spread":0.2199100591389694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755699197","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":[0.0500058,0.0017264877,0.8968849,0.000011259921,0.05031704,0.0007774275,0.000012648721,0.00023905252,0.000025348138],"genre_scores_gemma":[0.9547095,0.000036309095,0.0051107155,0.000021160715,0.039295714,0.00056966505,0.000119754186,0.0000847273,0.000052510182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985194,0.00006092793,0.00052744284,0.0003846868,0.00014175687,0.00036576038],"domain_scores_gemma":[0.9990177,0.000027277772,0.00018267374,0.0005775027,0.00010686201,0.00008799601],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020298682,0.00028377457,0.0003605126,0.00014205588,0.00032015622,0.00039564754,0.00029388693,0.00015402205,0.0000018033385],"category_scores_gemma":[0.0000021167843,0.0002976568,0.000087657114,0.00009314063,0.000017115939,0.0002106228,0.000036424284,0.000106306834,0.0000030701729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005000287,0.00001587457,0.00002172744,0.00006124562,0.000029004575,0.0000046126934,0.0002525365,0.9815994,0.0004022532,0.00028525369,0.0037237233,0.013599352],"study_design_scores_gemma":[0.0005977602,0.000033885826,0.0000059095146,0.000077014454,0.000008601899,0.00001933212,0.00003374209,0.9889784,0.00039725268,2.7789554e-7,0.009540109,0.00030773974],"about_ca_topic_score_codex":0.000019851977,"about_ca_topic_score_gemma":0.00019507999,"teacher_disagreement_score":0.9047036,"about_ca_system_score_codex":0.00021712802,"about_ca_system_score_gemma":0.000015848982,"threshold_uncertainty_score":0.99994755},"labels":[],"label_agreement":null},{"id":"W2756133866","doi":"10.1109/icccn.2017.8038364","title":"Online Algorithm for Wireless Backhaul HetNets with Advanced Small Cell Buffering","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University; École de Technologie Supérieure","funders":"","keywords":"Backhaul (telecommunications); Computer science; Small cell; Wireless; Beamforming; Transmitter power output; Mathematical optimization; Computer network; Heterogeneous network; Convex optimization; Wireless network; Cellular network; Base station; Regular polygon; Channel (broadcasting); Telecommunications; Mathematics","score_opus":0.011614556652958118,"score_gpt":0.22752901683519816,"score_spread":0.21591446018224003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756133866","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":[0.029789189,0.000101201906,0.9650464,0.000018526367,0.0003019697,0.0005386499,0.000034272598,0.00041039736,0.0037593846],"genre_scores_gemma":[0.3619855,0.000058117177,0.6358994,0.000015073477,0.00014544014,0.00008406526,0.000049799368,0.00010467082,0.0016579073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920416,0.0000041125263,0.00019234778,0.00022929789,0.00006936012,0.00030072362],"domain_scores_gemma":[0.99920833,0.000029996592,0.00008002674,0.0005131422,0.00008643852,0.0000820631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045649824,0.00020661791,0.00022701053,0.000040851723,0.00016868518,0.000069173904,0.00024304767,0.00007218236,0.000011390045],"category_scores_gemma":[0.000008364277,0.00018507763,0.000037242095,0.000034256267,0.000023812338,0.00032255813,0.000034714263,0.000086737586,0.000008715024],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018917053,0.00006312018,0.00014519523,0.0002844389,0.000039809976,0.000009043159,0.00009839161,0.76556563,0.007690333,0.00009797115,0.000114079805,0.22587307],"study_design_scores_gemma":[0.0015351784,0.00008631277,0.00015008311,0.000091956426,0.000014527352,0.000007213335,0.000112903355,0.9658425,0.029889137,0.000024202833,0.0018810071,0.00036501928],"about_ca_topic_score_codex":0.0000136121025,"about_ca_topic_score_gemma":0.00017667282,"teacher_disagreement_score":0.33219633,"about_ca_system_score_codex":0.00006754299,"about_ca_system_score_gemma":0.000011353148,"threshold_uncertainty_score":0.7547247},"labels":[],"label_agreement":null},{"id":"W2756247127","doi":"10.3390/e19090495","title":"On the Capacity and the Optimal Sum-Rate of a Class of Dual-Band Interference Channels","year":2017,"lang":"en","type":"article","venue":"Entropy","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Transmitter; Interference (communication); Microwave; Channel (broadcasting); Transmitter power output; Transmission (telecommunications); Frequency band; Computer science; Path loss; Antenna (radio); Telecommunications; Extremely high frequency; Multi-band device; Physics; Electronic engineering; Topology (electrical circuits); Electrical engineering; Wireless; Engineering","score_opus":0.016438856272632172,"score_gpt":0.22184009657675088,"score_spread":0.20540124030411872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756247127","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":[0.90107006,0.00010345458,0.09654285,0.00025166976,0.00029831528,0.00025613263,0.000013713124,0.000022726543,0.0014410993],"genre_scores_gemma":[0.9995998,0.000044087992,0.00022749856,0.000008399554,0.000033886765,0.000011832376,5.525497e-7,0.000009246303,0.00006469731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996214,0.000039951807,0.00013644135,0.00006935614,0.000046290064,0.00008659698],"domain_scores_gemma":[0.999382,0.00014482367,0.000106837804,0.00031729057,0.000033834818,0.000015167851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018992099,0.00007400941,0.000140043,0.00001586364,0.00007234834,0.000023869743,0.00013665076,0.000028070386,0.000011903945],"category_scores_gemma":[0.00017367786,0.00004169306,0.000024434587,0.000020002355,0.00018778464,0.00007563604,0.000026154503,0.00006683334,0.000002344112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033078092,0.000034007157,0.0004816875,0.0001999564,0.00017774152,0.0000025067484,0.005866533,0.6803381,0.06554609,0.24596034,0.0006114813,0.0004507817],"study_design_scores_gemma":[0.002753697,0.0001603889,0.0012441628,0.00038454964,0.00004614562,0.000007643915,0.00040537945,0.6257476,0.36325702,0.005500516,0.00024062797,0.00025226205],"about_ca_topic_score_codex":0.000030170768,"about_ca_topic_score_gemma":0.0000056388367,"teacher_disagreement_score":0.29771093,"about_ca_system_score_codex":0.000011272984,"about_ca_system_score_gemma":0.0000032789142,"threshold_uncertainty_score":0.17001936},"labels":[],"label_agreement":null},{"id":"W2756697477","doi":"10.23919/spects.2017.8046767","title":"Handover enhancement for LTE-Advanced and beyond heterogeneous cellular networks","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Computer network; Heterogeneous network; Computer science; Mobility management; Cellular network; Soft handover; Reduction (mathematics); Distributed computing; Wireless network; Wireless; Telecommunications","score_opus":0.010485259585213284,"score_gpt":0.2324334144054691,"score_spread":0.22194815482025582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756697477","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":[0.002227591,0.00582858,0.9849612,0.000013676386,0.0020833695,0.0015125227,0.00003074255,0.00028207575,0.0030602012],"genre_scores_gemma":[0.8988865,0.001880338,0.09434344,0.000042937736,0.00046884757,0.0008835499,0.0003189135,0.0001880428,0.0029874558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871486,0.000010588338,0.00036040798,0.00046807583,0.0000977028,0.00034836621],"domain_scores_gemma":[0.99891245,0.00004203314,0.00015416063,0.00071431056,0.00008029805,0.0000967681],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010439581,0.00039005827,0.00046114347,0.00006079221,0.00012691758,0.00013741726,0.0002233723,0.0003251884,0.00002853003],"category_scores_gemma":[0.000019799014,0.00040721183,0.00009932069,0.000017102406,0.00003229551,0.000119608594,0.00023544891,0.00022176895,0.000004681326],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016682237,0.000008014537,0.0000050159338,0.00035607023,0.00008721373,0.0000028182346,0.00004936725,0.98887086,0.0018475361,0.000082151135,0.00033847612,0.008335799],"study_design_scores_gemma":[0.00078702846,0.000038793198,0.0000011937844,0.00014613963,0.00005300796,0.0000032821429,0.000008819238,0.96579397,0.027445769,0.0008823814,0.0042982474,0.0005413687],"about_ca_topic_score_codex":0.000005221937,"about_ca_topic_score_gemma":0.000020807323,"teacher_disagreement_score":0.8966589,"about_ca_system_score_codex":0.00011766399,"about_ca_system_score_gemma":0.000013041073,"threshold_uncertainty_score":0.999838},"labels":[],"label_agreement":null},{"id":"W2757653856","doi":"10.1109/twc.2017.2753771","title":"Coverage Analysis of Multi-Stream MIMO HetNets With MRC Receivers","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Computer science; Maximal-ratio combining; Spectral efficiency; Data stream; Data stream mining; Multiplexing; Stochastic geometry; Coverage probability; Leverage (statistics); Interference (communication); Channel (broadcasting); Algorithm; Fading; Telecommunications; Data mining; Statistics; Mathematics","score_opus":0.026553441081571347,"score_gpt":0.27202348616813604,"score_spread":0.2454700450865647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757653856","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":[0.025008108,0.00007994846,0.97229284,0.0000793634,0.000119349446,0.00027189183,0.00022316806,0.00021563919,0.0017096936],"genre_scores_gemma":[0.98396623,0.0012346267,0.014385668,0.0000075758862,0.000004317522,0.00009480906,0.000040883973,0.00004206456,0.00022384946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914557,0.000055107743,0.00031861852,0.0001778873,0.00013348469,0.00016934834],"domain_scores_gemma":[0.99641335,0.00013078438,0.00018183129,0.0030554854,0.00014457689,0.00007394603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007759872,0.00018512692,0.00034041662,0.00035537285,0.0006056998,0.000050575913,0.0008558198,0.00009551636,0.00003033221],"category_scores_gemma":[0.000004910333,0.0001924538,0.00013705254,0.00046327937,0.00021304478,0.00036313263,0.000004431802,0.00025563466,0.000011793664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013699231,0.00016211187,0.00030221246,0.000020170335,0.00081613794,6.4744273e-7,0.00032603962,0.9867243,0.0020029773,0.00007230394,0.000010216893,0.009549162],"study_design_scores_gemma":[0.0008726602,0.000048415695,0.0017680174,0.000115446855,0.000839662,0.0000024968497,0.00018404373,0.984007,0.011588363,0.0000050241715,0.0002481263,0.0003207532],"about_ca_topic_score_codex":0.00020187839,"about_ca_topic_score_gemma":0.0034911123,"teacher_disagreement_score":0.9589581,"about_ca_system_score_codex":0.000110327695,"about_ca_system_score_gemma":0.00002406995,"threshold_uncertainty_score":0.7848038},"labels":[],"label_agreement":null},{"id":"W2761304113","doi":"10.1109/ihtc.2017.8058173","title":"Traffic offloading problem in two-tier HetNets with D2D support for emergency communications","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Stochastic geometry; Throughput; Base station; Cellular network; Transmitter power output; Provisioning; Computer network; Heterogeneous network; Coverage probability; Wireless network; Wireless; Telecommunications; Transmitter; Channel (broadcasting)","score_opus":0.02416546715281421,"score_gpt":0.29946049383317486,"score_spread":0.27529502668036065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761304113","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":[0.015538497,0.00020050458,0.89565736,0.0002204146,0.0003021404,0.0017016053,0.000016736329,0.00050694315,0.08585577],"genre_scores_gemma":[0.8742281,0.000055123626,0.12401217,0.0000038989665,0.000022878106,0.00022682922,0.000028583747,0.0000401284,0.0013822435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993721,0.0000079189895,0.00024526753,0.00012364177,0.00005080106,0.00020024145],"domain_scores_gemma":[0.9990234,0.0000162563,0.00006501809,0.0008037242,0.000051304596,0.00004032405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011314915,0.00011127915,0.00013904799,0.000067220426,0.00016704202,0.000029454743,0.00034891733,0.000032906904,0.000049835213],"category_scores_gemma":[0.000012026994,0.000104418454,0.000024218476,0.00006112627,0.000024068564,0.0003791763,0.000035235626,0.000076727694,0.000012471794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007759968,0.000032877448,0.0031304106,0.00010952123,0.000027040496,8.7914333e-7,0.00062063755,0.98698294,0.0006327895,0.0016530565,0.0009338175,0.005868256],"study_design_scores_gemma":[0.0011504416,0.000045210712,0.0005781017,0.00007788511,0.000015154958,0.0000060653547,0.00015301969,0.99104506,0.0004633219,0.00015069377,0.0059926007,0.0003224218],"about_ca_topic_score_codex":0.00002383953,"about_ca_topic_score_gemma":0.0014791719,"teacher_disagreement_score":0.85868967,"about_ca_system_score_codex":0.000056990124,"about_ca_system_score_gemma":0.000013987978,"threshold_uncertainty_score":0.4258061},"labels":[],"label_agreement":null},{"id":"W2762579166","doi":"10.1109/twc.2018.2836937","title":"A D2D-Based Protocol for Ultra-Reliable Wireless Communications for Industrial Automation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Nokia","keywords":"Computer science; Wireless; Beamforming; Automation; Computer network; Latency (audio); Base station; Reliability (semiconductor); Low latency (capital markets); Embedded system; Telecommunications; Engineering","score_opus":0.062307642985162254,"score_gpt":0.3201874479184602,"score_spread":0.257879804933298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762579166","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":[0.00015428386,0.000009261617,0.91929346,0.0005989807,0.00037551048,0.077071816,0.0004339695,0.0012020429,0.00086066383],"genre_scores_gemma":[0.5150364,0.000016937427,0.073523745,0.00006932628,0.00010728174,0.41076806,0.00017975058,0.00013786872,0.00016065364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804026,0.00013340572,0.0008476985,0.0003399947,0.00018902599,0.00044963398],"domain_scores_gemma":[0.994563,0.00094588764,0.00023015583,0.0034849583,0.00063706766,0.00013892713],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00037639565,0.00037185408,0.00038539426,0.00035983327,0.0014450016,0.0001129033,0.0015211437,0.00034440518,0.000029567715],"category_scores_gemma":[0.000022317532,0.00042907242,0.00021862591,0.00073775655,0.00038485468,0.00045962975,0.000006553178,0.00043628685,0.000042827174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072224904,0.0027202263,0.0000355202,0.00093968044,0.00051855703,2.1995552e-7,0.0017869808,0.7833231,0.043741316,0.007450702,0.009989682,0.14877176],"study_design_scores_gemma":[0.0035186326,0.000262444,0.0000025602403,0.00031462524,0.0000791475,0.0000022366432,0.000115150055,0.9018547,0.06332248,0.00019213026,0.02988036,0.00045554768],"about_ca_topic_score_codex":0.00003941349,"about_ca_topic_score_gemma":0.00043680615,"teacher_disagreement_score":0.8457697,"about_ca_system_score_codex":0.00039131008,"about_ca_system_score_gemma":0.00018825484,"threshold_uncertainty_score":0.999855},"labels":[],"label_agreement":null},{"id":"W2762882306","doi":"10.1049/iet-com.2016.0552","title":"Robust precoder design for massive MIMO with peak total power constrained single‐RF‐chain transmitters","year":2017,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; MIMO; Computer science; Transmitter; Control theory (sociology); Channel state information; Amplifier; Channel (broadcasting); Antenna (radio); Transmission (telecommunications); Electronic engineering; Telecommunications; Wireless; Engineering; Bandwidth (computing)","score_opus":0.049782469480063804,"score_gpt":0.25121779206171113,"score_spread":0.2014353225816473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762882306","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":[0.00070242805,0.00019860052,0.98910224,0.0012521897,0.00012616643,0.0010156998,0.000076671546,0.00026126765,0.0072647375],"genre_scores_gemma":[0.70703256,0.000025762569,0.29225656,0.000020139612,0.000017731772,0.00029928682,0.000049860817,0.000054032516,0.00024403173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922997,0.00004715341,0.00024611602,0.00016413083,0.00007577826,0.0002368437],"domain_scores_gemma":[0.99754155,0.00024868976,0.00012293813,0.0018752923,0.00013981033,0.00007174335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013813926,0.00018210361,0.00019446331,0.000059358215,0.00052837416,0.00012123141,0.00071408594,0.00008629338,0.000021284932],"category_scores_gemma":[0.0000738122,0.00018323194,0.000058816644,0.000058941652,0.00022270018,0.00037345962,0.000047153953,0.00014953873,0.0000076567285],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029133087,0.00007034729,0.000042076965,0.000040934596,0.00012427774,9.450874e-7,0.0014467624,0.98886687,0.0060465913,0.0009702479,0.00096048275,0.0014013145],"study_design_scores_gemma":[0.003047019,0.00028654616,0.00051850977,0.0003635381,0.00014630325,0.000044846576,0.0015281206,0.983848,0.0037525806,0.00044858846,0.00508471,0.0009312535],"about_ca_topic_score_codex":0.0000101761,"about_ca_topic_score_gemma":0.000084624764,"teacher_disagreement_score":0.7063302,"about_ca_system_score_codex":0.000102606304,"about_ca_system_score_gemma":0.000037336686,"threshold_uncertainty_score":0.74719816},"labels":[],"label_agreement":null},{"id":"W2764051516","doi":"10.1109/tvt.2017.2760321","title":"Empirical Distribution of Nearest-Transmitter Distance in Wireless Networks Modeled by Matérn Hard Core Point Processes","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Weibull distribution; Piecewise; Empirical distribution function; Mathematics; Probability density function; Point process; Goodness of fit; Probability distribution; Rayleigh distribution; Point (geometry); Kolmogorov–Smirnov test; Statistical physics; Algorithm; Statistics; Mathematical analysis; Geometry; Statistical hypothesis testing; Physics","score_opus":0.013129412705923174,"score_gpt":0.24369723881664157,"score_spread":0.2305678261107184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764051516","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2027681,0.00017315689,0.7959485,0.00023410314,0.00015227642,0.0003013537,0.0000848446,0.00031869963,0.000018957433],"genre_scores_gemma":[0.99848163,0.0002513372,0.000957343,0.000010646351,0.000011004144,0.00017349493,0.000034522054,0.000046831276,0.000033159944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888265,0.000015536323,0.0003833181,0.00029270543,0.000118435375,0.00030736875],"domain_scores_gemma":[0.99912566,0.000027579275,0.00010451441,0.0005959272,0.0001046547,0.00004166588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006977406,0.00022024533,0.00034315555,0.00013840565,0.00015203148,0.000024265431,0.00032008247,0.00041932266,0.000006184767],"category_scores_gemma":[0.00001168384,0.00023260081,0.00005990496,0.00033987497,0.00019132595,0.00024507337,0.000002087887,0.00045090006,0.000004649023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003699589,0.000102954364,0.00082421384,0.00015953275,0.000033218468,0.0000105806275,0.000040820436,0.9910982,0.004148324,0.00006157458,0.00010264736,0.0033808923],"study_design_scores_gemma":[0.00089318084,0.00007896468,0.0002916269,0.00028301578,0.000033512537,0.000018527164,0.00005199416,0.9292386,0.068234086,0.00028369066,0.00025927793,0.00033348592],"about_ca_topic_score_codex":0.000019621853,"about_ca_topic_score_gemma":0.00016586005,"teacher_disagreement_score":0.79571354,"about_ca_system_score_codex":0.00014469838,"about_ca_system_score_gemma":0.00002048736,"threshold_uncertainty_score":0.9485186},"labels":[],"label_agreement":null},{"id":"W2765188317","doi":"10.1049/iet-com.2017.0338","title":"Performance analysis of multi‐user scheduling in a spectrum sharing with OSTBC under correlated antennas in a cognitive radio system","year":2017,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cognitive radio; Computer science; Scheduling (production processes); Rayleigh fading; Cumulative distribution function; Probability density function; Fading; Algorithm; Channel (broadcasting); Electronic engineering; Telecommunications; Mathematical optimization; Wireless; Mathematics; Statistics; Engineering","score_opus":0.032142622716383296,"score_gpt":0.2793524038067034,"score_spread":0.2472097810903201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765188317","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":[0.85231483,0.00048062913,0.14503755,0.00004239445,0.00004210904,0.00040476146,0.000015744308,0.0001237926,0.0015381612],"genre_scores_gemma":[0.9907357,0.00022637671,0.008846567,0.0000022709373,0.0000037328557,0.000071952345,0.000043975655,0.000028393466,0.00004103725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916357,0.000037944756,0.0003893328,0.00015585028,0.00007499649,0.00017831355],"domain_scores_gemma":[0.998223,0.00009310849,0.00018663936,0.0013843186,0.00008153782,0.000031360076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020686733,0.00012920736,0.00033067845,0.00047036714,0.00015159739,0.000037586313,0.00062114117,0.000072997784,0.0000031999064],"category_scores_gemma":[0.00004452224,0.00013549833,0.000039472197,0.00075596006,0.0000890759,0.00037865737,0.00013641696,0.00027248493,0.000003976959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011164103,0.00003354672,0.20525247,0.00004498564,0.00018589663,0.0000012866363,0.00089442765,0.7930754,0.00017545313,0.00026275715,1.2958151e-7,0.00006247005],"study_design_scores_gemma":[0.0007048299,0.000009277191,0.155258,0.00084805035,0.00011929107,0.0000028105276,0.0013329035,0.8415001,0.00009912649,0.0000018992281,0.0000012770056,0.00012245943],"about_ca_topic_score_codex":0.00048151825,"about_ca_topic_score_gemma":0.0069560097,"teacher_disagreement_score":0.13842084,"about_ca_system_score_codex":0.00021513418,"about_ca_system_score_gemma":0.000020356745,"threshold_uncertainty_score":0.55254614},"labels":[],"label_agreement":null},{"id":"W2765586275","doi":"10.1109/access.2017.2763424","title":"Interference Minimization in D2D Communication Underlaying Cellular Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Interference (communication); Computer science; Knapsack problem; Resource allocation; Cellular network; Bipartite graph; Mathematical optimization; Throughput; Radio resource management; Algorithm; Shared resource; Computer network; Telecommunications; Mathematics; Wireless network; Theoretical computer science; Wireless","score_opus":0.03676286205257666,"score_gpt":0.2935663075531097,"score_spread":0.256803445500533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765586275","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":[0.052929472,0.00028542237,0.9421468,0.000028163944,0.00056172797,0.00018534377,9.200564e-7,0.00014129505,0.003720884],"genre_scores_gemma":[0.99816585,0.00022827812,0.0014100487,0.00001310808,0.000059659753,0.000032527263,0.000017398927,0.000029656629,0.00004347586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994014,0.000030005414,0.0002310944,0.00012836205,0.00005404116,0.00015510393],"domain_scores_gemma":[0.99910486,0.00003859634,0.000108789056,0.00067720783,0.000041635074,0.000028885124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010457578,0.0001055644,0.00012701363,0.00007707171,0.00014662209,0.00026010093,0.0006976646,0.00008696188,0.000010881466],"category_scores_gemma":[0.00002923027,0.00012223676,0.000016817687,0.000088475026,0.000029660972,0.0012048573,0.00007617315,0.00014477344,0.000007345046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002926334,0.000006233634,0.005211691,0.000025242001,0.0000047941594,0.0000014130989,0.00012966733,0.9898837,0.0005820992,0.00007187662,0.000111625544,0.0039687357],"study_design_scores_gemma":[0.00024015669,0.0000035930316,0.0020903095,0.0001606526,0.0000042032802,7.955833e-7,0.00003269645,0.99367726,0.003326716,0.00026123918,0.000052523123,0.00014986428],"about_ca_topic_score_codex":0.00007978321,"about_ca_topic_score_gemma":0.00025988478,"teacher_disagreement_score":0.9452364,"about_ca_system_score_codex":0.00009326778,"about_ca_system_score_gemma":0.0000062613226,"threshold_uncertainty_score":0.498467},"labels":[],"label_agreement":null},{"id":"W2765892125","doi":"10.1109/comst.2018.2870996","title":"Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey","year":2018,"lang":"en","type":"preprint","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Natural Science Foundation of China; Ministry of Education - Singapore; National Science Foundation","keywords":"Computer science; Wireless network; Wireless; Radio resource management; Profit maximization; Cellular network; Computer network; Profit (economics); Telecommunications; Economics","score_opus":0.046267965338783495,"score_gpt":0.2980069955384827,"score_spread":0.25173903019969923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765892125","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":[0.0024638379,0.0019890068,0.9889591,0.0000129570035,0.00093208713,0.0034674061,0.000490214,0.00017549076,0.0015099448],"genre_scores_gemma":[0.95862204,0.004245389,0.031890303,0.0000040494733,0.00034916706,0.0034484644,0.0012254032,0.00013625238,0.000078908604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968363,0.0011160239,0.0012319492,0.00043461277,0.00009493368,0.00028620288],"domain_scores_gemma":[0.9948115,0.0015740995,0.00046882033,0.0028673564,0.00021499049,0.00006324562],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005297173,0.00033037638,0.00074027746,0.00034773842,0.00012530683,0.000066403896,0.0011838021,0.0003347806,0.00000158023],"category_scores_gemma":[0.000045986526,0.000422543,0.00007688511,0.00026907946,0.00017191519,0.00015857497,0.00049560115,0.0002961474,0.0000024599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009660395,0.000037293055,0.0002485652,0.00033053645,0.00013559131,5.1238068e-8,0.00025499635,0.9911637,0.000022547263,0.0015312359,0.00037291835,0.00589291],"study_design_scores_gemma":[0.00058163196,0.00001349289,0.0008621921,0.0003789279,0.0000679611,6.4916765e-7,0.0000842132,0.9917539,0.00009054555,0.0036700366,0.0020132312,0.0004832215],"about_ca_topic_score_codex":0.0008614461,"about_ca_topic_score_gemma":0.0029990475,"teacher_disagreement_score":0.95706874,"about_ca_system_score_codex":0.00041301854,"about_ca_system_score_gemma":0.00005935533,"threshold_uncertainty_score":0.9998226},"labels":[],"label_agreement":null},{"id":"W2766718222","doi":"10.1109/twc.2017.2762301","title":"Optimizing the Bit Transmission Power for Link Layer Energy Efficiency Under Imperfect CSI","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transmission (telecommunications); Network packet; Fading; Channel (broadcasting); Node (physics); Bit error rate; Link layer; Energy (signal processing); Wireless; Computer network; Physical layer; Algorithm; Real-time computing; Telecommunications; Mathematics; Statistics; Engineering","score_opus":0.026772554432505247,"score_gpt":0.2762016651125895,"score_spread":0.24942911068008422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766718222","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":[0.000736808,0.0005169733,0.99373466,0.0017499785,0.00048085628,0.00048496656,0.000043276417,0.00037373294,0.0018787505],"genre_scores_gemma":[0.9827685,0.0014383584,0.014685419,0.000072718314,0.00003630893,0.0005250663,0.000013367608,0.000094198185,0.00036611335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988748,0.00007896741,0.00036742195,0.00023030126,0.00013883105,0.00030967192],"domain_scores_gemma":[0.9964645,0.00041060927,0.000111877656,0.0027964024,0.00012783686,0.00008878771],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00019896368,0.00024959148,0.00022470676,0.00012949223,0.0025110804,0.00016833974,0.0013735769,0.00016296841,0.000025298035],"category_scores_gemma":[0.000006498253,0.00021213891,0.00019179017,0.00016332071,0.00018721804,0.00037309152,0.0000067891237,0.00035729713,0.000013052553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014280629,0.0000841479,7.657481e-7,0.000020332078,0.00006524377,1.705413e-7,0.00058189017,0.9485054,0.012503403,0.0019613272,0.000068371344,0.036194663],"study_design_scores_gemma":[0.00079370185,0.000070891474,0.000017923387,0.00015561984,0.000083764346,0.000007548883,0.00021917761,0.95008165,0.03811741,0.00022984717,0.009822002,0.00040045328],"about_ca_topic_score_codex":0.000052341795,"about_ca_topic_score_gemma":0.00014379437,"teacher_disagreement_score":0.98203164,"about_ca_system_score_codex":0.00012581282,"about_ca_system_score_gemma":0.000039280665,"threshold_uncertainty_score":0.9987875},"labels":[],"label_agreement":null},{"id":"W2766730533","doi":"10.1109/apusncursinrsm.2017.8072447","title":"Impact of NLOS on the path loss and channel capacity of a MIMO off-body system inside a mine","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Université du Québec en Outaouais","funders":"","keywords":"Non-line-of-sight propagation; Path loss; MIMO; Channel capacity; Channel (broadcasting); Computer science; 3G MIMO; Precoding; Spatial correlation; Capacity loss; Multi-user MIMO; Transceiver; Electronic engineering; Antenna (radio); Telecommunications; Engineering; Wireless; Physics","score_opus":0.017950803156547984,"score_gpt":0.2371751047371429,"score_spread":0.21922430158059492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766730533","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":[0.9758029,0.00006630154,0.01921361,0.000013857056,0.00008247377,0.00032124785,0.000042632266,0.000059738974,0.0043972693],"genre_scores_gemma":[0.9994663,0.000018757684,0.00039389628,0.0000019235486,0.000030318255,0.000012352594,0.0000015716023,0.000019977952,0.000054926495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943984,0.000019913761,0.00022700497,0.00010124541,0.00008891816,0.00012307263],"domain_scores_gemma":[0.9991917,0.000057720685,0.00014819151,0.00049154036,0.00007138333,0.00003944355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013059078,0.00012494519,0.00024605964,0.000046157562,0.000056879107,0.0000143099005,0.00013105068,0.00005609773,0.0000055625082],"category_scores_gemma":[0.000089122084,0.000079102414,0.00005282992,0.000040067538,0.00005883387,0.00012450397,0.000028899281,0.00006175036,0.0000028160025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019399823,0.0002302661,0.032255065,0.0040681427,0.00089315185,0.00002711211,0.004877207,0.82259494,0.116761066,0.015907407,0.00085150264,0.0013401106],"study_design_scores_gemma":[0.0013752426,0.00037997405,0.0450676,0.0011702748,0.000052514344,0.00005039985,0.0006054808,0.91251045,0.03827103,0.00011989283,0.000013315696,0.00038384364],"about_ca_topic_score_codex":0.00040118894,"about_ca_topic_score_gemma":0.00004922468,"teacher_disagreement_score":0.08991546,"about_ca_system_score_codex":0.000056879173,"about_ca_system_score_gemma":0.000008727786,"threshold_uncertainty_score":0.3225703},"labels":[],"label_agreement":null},{"id":"W2766731005","doi":"10.1109/tvt.2017.2763825","title":"Receiver Energy Efficiency and Resolution Profile Design for Massive MIMO Uplink With Mixed ADC","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Quantization (signal processing); Telecommunications link; Successive approximation ADC; Electronic engineering; MIMO; Computer science; Effective number of bits; Base station; Efficient energy use; Energy consumption; Energy (signal processing); Engineering; Mathematics; Electrical engineering; Algorithm; Capacitor; Voltage; Telecommunications","score_opus":0.01107970398627662,"score_gpt":0.21513295824347378,"score_spread":0.20405325425719717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766731005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042237616,0.00014162088,0.9938646,0.00021115062,0.00028379489,0.0005952158,0.000016730244,0.0005754666,0.00008764678],"genre_scores_gemma":[0.9220359,0.00011225224,0.07699008,0.0000066115267,0.000017499113,0.00058805186,0.000004505365,0.000053859745,0.00019128506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915475,0.000017693927,0.00017694218,0.00030876847,0.00007251419,0.00026933092],"domain_scores_gemma":[0.99921525,0.000041272608,0.00008497839,0.00051149534,0.00010455853,0.000042457035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007918669,0.00019250679,0.0002082708,0.00027179357,0.00046602564,0.00003148674,0.0001831791,0.00032250976,0.0000054289585],"category_scores_gemma":[0.0000141337005,0.00018310543,0.00003756362,0.00014941265,0.0001723336,0.00017839826,0.000001641333,0.00018105777,0.000005630935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006995918,0.00003894041,0.0000036737868,0.000043699896,0.00006431228,0.0000074648256,0.000031316456,0.9642521,0.014871254,0.0007217787,0.00007276788,0.019822735],"study_design_scores_gemma":[0.00097308797,0.000335441,0.000009401566,0.000084460604,0.00005675969,0.000032791206,0.000051892206,0.74466586,0.2526423,0.0003179303,0.0005747845,0.00025528768],"about_ca_topic_score_codex":0.0000092062,"about_ca_topic_score_gemma":0.00003280141,"teacher_disagreement_score":0.9178121,"about_ca_system_score_codex":0.00009266952,"about_ca_system_score_gemma":0.000019977684,"threshold_uncertainty_score":0.7466823},"labels":[],"label_agreement":null},{"id":"W2767141265","doi":"10.1109/twc.2017.2765309","title":"Joint Prioritized Scheduling and Resource Allocation for OFDMA-Based Wireless Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Scheduling (production processes); Mathematical optimization; Wireless network; Channel allocation schemes; Resource allocation; Wireless; Schedule; Algorithm; Computer network; Mathematics; Telecommunications","score_opus":0.03107125352049747,"score_gpt":0.2681062578949355,"score_spread":0.237035004374438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767141265","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":[0.010712826,0.00033724777,0.98616046,0.0009191537,0.00027720525,0.00086273614,0.00005546948,0.000462318,0.00021256591],"genre_scores_gemma":[0.96186066,0.0009438152,0.035959415,0.000046878686,0.000046763063,0.0009347017,0.00004059231,0.00008974162,0.00007743944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988931,0.000068974725,0.00041552586,0.00025158093,0.00010796148,0.00026286225],"domain_scores_gemma":[0.997226,0.0002867604,0.00017273493,0.0020489965,0.00015895975,0.000106569234],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00023793968,0.00023296439,0.0002871757,0.00015078633,0.0016272729,0.00018137484,0.0006190055,0.00017774683,0.0000043781306],"category_scores_gemma":[0.000014885605,0.00027704195,0.00009807659,0.00011739328,0.00019888551,0.0003359406,0.000006785046,0.00035834018,0.0000033251872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023039638,0.0000718092,0.000014304044,0.00008115665,0.000051385046,1.5348962e-7,0.00012550139,0.951377,0.0045000305,0.00060658215,0.000021397724,0.043127693],"study_design_scores_gemma":[0.0010548772,0.00002315001,0.000076469296,0.00028576242,0.000066003806,0.0000019890365,0.000089216825,0.98929924,0.0083066095,0.00004263963,0.00047593156,0.00027810165],"about_ca_topic_score_codex":0.000032924785,"about_ca_topic_score_gemma":0.00018991102,"teacher_disagreement_score":0.95114785,"about_ca_system_score_codex":0.00012539953,"about_ca_system_score_gemma":0.000035032244,"threshold_uncertainty_score":0.9999682},"labels":[],"label_agreement":null},{"id":"W2767317098","doi":"10.1186/s13638-017-0959-3","title":"A cognitive control approach to interference mitigation in communications-based train control (CBTC) co-existing with passenger information systems (PISs)","year":2017,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Coastal Response Research Center, University of New Hampshire; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; China Railway","keywords":"Computer science; Interference (communication); Control (management); Cognition; Automotive engineering; Computer network; Artificial intelligence","score_opus":0.03855560559846407,"score_gpt":0.2846467406613133,"score_spread":0.24609113506284921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767317098","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":[0.030683255,0.001268952,0.95775354,0.00051319815,0.00019038489,0.001281737,0.000039311235,0.00013976163,0.008129846],"genre_scores_gemma":[0.9941401,0.0005875024,0.00468051,0.0001368041,0.00009096623,0.00024967114,0.00006914334,0.000039653787,0.0000056882573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982294,0.0004009257,0.000722263,0.00015131154,0.00019037368,0.0003057463],"domain_scores_gemma":[0.99707013,0.0007188418,0.00057075964,0.0012004593,0.0002900987,0.00014973145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009755156,0.000257201,0.00039181148,0.0002976952,0.001147748,0.00072170724,0.00092059275,0.00010563466,7.01529e-7],"category_scores_gemma":[0.00008663225,0.00024395558,0.000040612125,0.000204027,0.00017600955,0.000910289,0.00006284883,0.0007534568,0.000004492042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003635582,0.00020950363,0.021780672,0.00019305812,0.00021494977,0.0000052181267,0.0034693861,0.85889775,0.000485325,0.0034033856,0.000057092402,0.110920094],"study_design_scores_gemma":[0.0026705,0.000109934015,0.0033364643,0.0020530138,0.00003553139,0.000046529254,0.00091182545,0.9896744,0.000015618349,0.000013068731,0.00083198823,0.00030111134],"about_ca_topic_score_codex":0.000025618068,"about_ca_topic_score_gemma":0.000067632674,"teacher_disagreement_score":0.9634568,"about_ca_system_score_codex":0.0001909051,"about_ca_system_score_gemma":0.000045524568,"threshold_uncertainty_score":0.994822},"labels":[],"label_agreement":null},{"id":"W2768526075","doi":"10.1109/tmc.2017.2775221","title":"Dynamic SON-Enabled Location Management in LTE Networks","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Royal Commission for Jubail and Yanbu","keywords":"Computer science; Overhead (engineering); Computer network; Pooling; Control reconfiguration; Heuristic; Wireless network; Distributed computing; User equipment; Quality of experience; Network packet; Wireless; Quality of service; Base station; Telecommunications; Embedded system; Artificial intelligence","score_opus":0.0070609574632530805,"score_gpt":0.23927205647682184,"score_spread":0.23221109901356876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768526075","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":[0.01468514,0.00008591434,0.98206925,0.0000085200445,0.0012083594,0.0005517735,0.0000013345004,0.00032655787,0.0010631396],"genre_scores_gemma":[0.99030083,0.000101532,0.009265833,0.000008086729,0.000031556836,0.00008973924,0.0000033561225,0.000046987825,0.0001520482],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909955,0.000021536087,0.0002886773,0.00023080743,0.00008771758,0.0002717168],"domain_scores_gemma":[0.9993459,0.00003472777,0.000075166434,0.00047420006,0.00002811582,0.00004187962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001489503,0.00016340718,0.00016202552,0.0001609978,0.00032737295,0.00008885798,0.00020638794,0.000077981036,0.000009445203],"category_scores_gemma":[0.000001468549,0.00019705096,0.00004094946,0.00016729876,0.000021826678,0.00024366124,0.0000024397832,0.00022950143,0.000025643387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004555137,0.000025740885,0.000014102021,0.000056981793,0.000021599655,0.0000047050116,0.00008330345,0.91501176,0.00006376059,0.000013489796,0.0000062614085,0.08469376],"study_design_scores_gemma":[0.00046639313,0.00001708473,0.00033379914,0.00019175527,0.000012762763,0.0000030137471,0.00007300759,0.9983419,0.0003132477,0.000022063394,0.000045879864,0.00017905468],"about_ca_topic_score_codex":0.000018728386,"about_ca_topic_score_gemma":0.00008285894,"teacher_disagreement_score":0.97561574,"about_ca_system_score_codex":0.00025143014,"about_ca_system_score_gemma":0.0000053793597,"threshold_uncertainty_score":0.8035505},"labels":[],"label_agreement":null},{"id":"W2768999653","doi":"10.1109/twc.2017.2773059","title":"Multi-Channel Resource Allocation Toward Ergodic Rate Maximization for Underlay Device-to-Device Communications","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Underlay; Computer science; Mathematical optimization; Telecommunications link; Resource allocation; Heuristic; Optimization problem; Interference (communication); Ergodic theory; Spectral efficiency; Channel (broadcasting); Signal-to-noise ratio (imaging); Computer network; Algorithm; Mathematics; Telecommunications","score_opus":0.0762478490895507,"score_gpt":0.31076544443101417,"score_spread":0.23451759534146346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768999653","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":[0.00051059254,0.0002473599,0.9908565,0.0042122183,0.00043025718,0.0019596012,0.00022721433,0.0008487075,0.00070752075],"genre_scores_gemma":[0.894737,0.0011958684,0.100848295,0.00022355764,0.000043007272,0.002074507,0.00025095695,0.00016947158,0.0004573035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795544,0.00023499939,0.00075661717,0.00042913758,0.00018479662,0.0004389949],"domain_scores_gemma":[0.99169636,0.0005785124,0.0003002674,0.0067335893,0.00046469618,0.0002265529],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.000473959,0.0004091435,0.0004003615,0.00038679637,0.0028076065,0.00029185734,0.0030261662,0.00025682838,0.00000997697],"category_scores_gemma":[0.00007309377,0.0005010768,0.0001739302,0.0004166807,0.00025437024,0.0007641884,0.000040766005,0.0005034157,0.00011470901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003368446,0.00030672504,0.000006827488,0.000115348375,0.00012945668,2.1463121e-7,0.0014410146,0.98062766,0.0052184886,0.00068937225,0.00028784384,0.011143351],"study_design_scores_gemma":[0.0012117215,0.000060068625,0.00016672445,0.00026492783,0.00013250652,0.0000046596383,0.0006212318,0.9823169,0.0065955054,0.00011969355,0.007911478,0.0005945986],"about_ca_topic_score_codex":0.00011393561,"about_ca_topic_score_gemma":0.0018065311,"teacher_disagreement_score":0.89422643,"about_ca_system_score_codex":0.0004155354,"about_ca_system_score_gemma":0.0000782205,"threshold_uncertainty_score":0.99974406},"labels":[],"label_agreement":null},{"id":"W2769196935","doi":"10.1109/tvt.2017.2772035","title":"Coverage Analysis of Max-SIR Cell Association in HetNets Under Nakagami Fading","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Nakagami distribution; Fading; Path loss; Rician fading; Computer science; Stochastic geometry; Fading distribution; Maximal-ratio combining; Telecommunications link; Probability density function; Algorithm; Mathematics; Statistics; Telecommunications; Wireless; Rayleigh fading; Decoding methods","score_opus":0.007252519254339253,"score_gpt":0.22522393326585768,"score_spread":0.21797141401151843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769196935","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27896327,0.000060659637,0.719875,0.00007292059,0.00021311853,0.00014622071,0.000019958337,0.00021613076,0.00043278243],"genre_scores_gemma":[0.9985134,0.000138999,0.0010866944,0.0000088625675,0.0000060159277,0.00004139928,0.000005654227,0.000030463721,0.00016853437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906284,0.000023532968,0.00032979168,0.00021749309,0.00013260149,0.00023373096],"domain_scores_gemma":[0.99912065,0.00004266164,0.00017710804,0.000572624,0.00006202927,0.000024938241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013148834,0.00015315105,0.00036589344,0.0011747507,0.00012283241,0.00002093182,0.00022877585,0.00040787502,0.000021459424],"category_scores_gemma":[0.000013230061,0.00018233898,0.00012441038,0.0007552563,0.000037817656,0.00018940223,0.0000019272338,0.0003211241,0.000013253507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003693434,0.000047593992,0.0011476318,0.000022801585,0.00026769983,0.00000524956,0.000039315244,0.97367644,0.02301753,0.00006856446,0.0000041672733,0.0016993034],"study_design_scores_gemma":[0.0011272815,0.000060252325,0.0029852244,0.0000691391,0.0005331043,0.0000033928159,0.00013307558,0.7313446,0.26283866,0.00035181612,0.00015983457,0.0003936019],"about_ca_topic_score_codex":0.000034853278,"about_ca_topic_score_gemma":0.000365657,"teacher_disagreement_score":0.71955013,"about_ca_system_score_codex":0.00042078993,"about_ca_system_score_gemma":0.000010867493,"threshold_uncertainty_score":0.7435568},"labels":[],"label_agreement":null},{"id":"W2769432729","doi":"10.1109/twc.2017.2768424","title":"SINR Outage Evaluation: Saddle Point Approximation Using Normal Inverse Gaussian Distribution","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inverse; Computer science; Algorithm; Saddle point; Combinatorics; Mathematics; Discrete mathematics","score_opus":0.05013494035940463,"score_gpt":0.2959423323790083,"score_spread":0.24580739201960367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769432729","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":[0.01808351,0.000061778745,0.97743213,0.00027599517,0.00063462876,0.0007728769,0.00022063691,0.00040252984,0.0021159297],"genre_scores_gemma":[0.9847121,0.00017782657,0.014386182,0.000016956186,0.00004796466,0.00027018803,0.00024971907,0.00006062497,0.000078437406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985346,0.00015514751,0.0004882421,0.0002447518,0.00029624833,0.00028097353],"domain_scores_gemma":[0.9964933,0.00007827396,0.00022753567,0.0028338784,0.0002518988,0.00011511175],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00040031597,0.00025675804,0.00023589184,0.00014650285,0.0018976151,0.00020770825,0.00080180616,0.000170238,0.00007113411],"category_scores_gemma":[0.00002372775,0.00030511493,0.000116076546,0.00021196339,0.00020338764,0.0013199566,0.00001087186,0.00040728695,0.00007124332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011271307,0.00013924918,0.000028817614,0.000043630895,0.00006150929,5.533959e-7,0.00048080523,0.975227,0.0042862995,0.0005184259,0.00007022484,0.019132221],"study_design_scores_gemma":[0.0006562887,0.000019546498,0.00015889932,0.00012181104,0.000108144646,0.000011760022,0.00025596685,0.9892548,0.008701547,0.00012669423,0.00027428087,0.00031029727],"about_ca_topic_score_codex":0.00010267999,"about_ca_topic_score_gemma":0.0005180392,"teacher_disagreement_score":0.9666286,"about_ca_system_score_codex":0.0006316397,"about_ca_system_score_gemma":0.00007128293,"threshold_uncertainty_score":0.9999401},"labels":[],"label_agreement":null},{"id":"W2769818879","doi":"10.1155/2017/7401863","title":"Enabling Technologies towards 5G Mobile Networks","year":2017,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Oracle (Canada)","funders":"","keywords":"Computer science; Human–computer interaction","score_opus":0.008693982648253565,"score_gpt":0.22772918443916274,"score_spread":0.21903520179090918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2769818879","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":[0.0060537425,0.0024110859,0.9554356,0.000009867464,0.0035308327,0.0020934541,0.00003065285,0.0038351133,0.02659966],"genre_scores_gemma":[0.997379,0.00034294283,0.00042862227,0.000005339735,0.00013875897,0.0015115706,0.000050087823,0.000029167943,0.00011453428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872786,0.000012886196,0.0006450389,0.0001133084,0.0001889039,0.00031198806],"domain_scores_gemma":[0.99860513,0.00002190845,0.00031427454,0.0008489407,0.00016362681,0.00004613894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028136178,0.00020953162,0.0002739325,0.00018763164,0.0003621061,0.00063429767,0.0004578989,0.00024126036,0.0000077166405],"category_scores_gemma":[0.00007179329,0.00020347531,0.000053901298,0.00012674577,0.0000506335,0.0032377888,0.00006854582,0.00018358324,0.0001778733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019147874,0.0000026970079,0.000073633244,0.00015284323,0.000016559765,7.15814e-7,0.0002405711,0.950247,0.000065571054,0.00031538057,0.00038737518,0.04849577],"study_design_scores_gemma":[0.00028187438,0.000038860653,0.000035395948,0.00016674241,0.000008062903,0.000022344931,0.003950917,0.86269134,0.0014172508,0.000015915568,0.1310334,0.00033786363],"about_ca_topic_score_codex":0.00004546993,"about_ca_topic_score_gemma":0.0000026836135,"teacher_disagreement_score":0.99132526,"about_ca_system_score_codex":0.00017476935,"about_ca_system_score_gemma":0.00001586405,"threshold_uncertainty_score":0.8297482},"labels":[],"label_agreement":null},{"id":"W2770990916","doi":"10.1109/acssc.2017.8335509","title":"A joint combiner and bit allocation design for massive MIMO using genetic algorithm","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"MIMO; Algorithm; Quantization (signal processing); Minimum mean square error; Computer science; Channel (broadcasting); Electronic engineering; Converters; Mean squared error; Power (physics); Estimator; Mathematics; Telecommunications; Engineering; Statistics","score_opus":0.047923540035915334,"score_gpt":0.26595418241455365,"score_spread":0.2180306423786383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770990916","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":[0.00038704326,0.00096741226,0.99579036,0.000028611792,0.0007292572,0.0016870756,0.000025488522,0.00023126607,0.0001534864],"genre_scores_gemma":[0.032738563,0.00025767687,0.9660821,0.00000918854,0.00018027004,0.0002807885,0.000050392224,0.000107402564,0.0002936067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990048,0.000024391307,0.00033067926,0.00034364415,0.00008472057,0.00021176098],"domain_scores_gemma":[0.9990933,0.000040551953,0.00017174134,0.00046512627,0.00016097617,0.00006830961],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001292819,0.00028507184,0.00034499672,0.000097825505,0.00010264652,0.00012967804,0.0001306718,0.00027723672,0.000007178477],"category_scores_gemma":[0.000047760757,0.00029849628,0.000056491397,0.000025727017,0.000030016792,0.00010752561,0.00012254044,0.0001549985,0.0000032272596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021835099,0.000005576495,0.000003843755,0.00038733578,0.000060079168,0.0000014496206,0.00008583875,0.98973876,0.0016192016,0.000038133214,0.00021692958,0.007840679],"study_design_scores_gemma":[0.00036639886,0.000018126013,0.000031217067,0.00025707585,0.000066186054,0.000008503202,0.000022761003,0.9931693,0.0040661213,0.0015696267,0.00008622014,0.0003384463],"about_ca_topic_score_codex":0.000042564974,"about_ca_topic_score_gemma":0.0000033958654,"teacher_disagreement_score":0.03235152,"about_ca_system_score_codex":0.00016317272,"about_ca_system_score_gemma":0.00004699802,"threshold_uncertainty_score":0.9999467},"labels":[],"label_agreement":null},{"id":"W2771355470","doi":"10.1109/iemcon.2017.8117203","title":"Maximizing energy efficiency over imperfectly known fading channel gains","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Channel (broadcasting); Transmission (telecommunications); Efficient energy use; Computer science; Power (physics); Energy (signal processing); Upper and lower bounds; Mathematical optimization; Telecommunications; Mathematics; Statistics; Engineering; Electrical engineering","score_opus":0.015525543376095657,"score_gpt":0.24557217427931274,"score_spread":0.2300466309032171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771355470","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":[0.008395617,0.00021659002,0.8922596,0.000015635114,0.0007917106,0.00008695922,0.000002397127,0.000523905,0.09770756],"genre_scores_gemma":[0.99578136,0.00008217711,0.0023771685,0.00002221609,0.00019430419,0.000018198081,0.000004141079,0.000055747536,0.0014646978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991954,0.000008368046,0.00018803656,0.00019442203,0.00009300964,0.00032079333],"domain_scores_gemma":[0.99931675,0.000022661361,0.00005940527,0.00049672043,0.000031515567,0.00007291774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008424268,0.00016767453,0.00016595527,0.00008909248,0.00030668,0.00011533471,0.00025445092,0.00008137617,0.0000622646],"category_scores_gemma":[0.000050617415,0.00016422005,0.00005146338,0.000060118986,0.000024524097,0.00044784366,0.0000653548,0.00007625742,0.00003311798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024057774,0.000011421587,0.00014201035,0.00004201556,0.000021025437,0.000007711383,0.0002466672,0.9762566,0.014476526,0.0039703557,0.0006359302,0.0041873213],"study_design_scores_gemma":[0.0003600648,0.000016028733,0.00019418242,0.00005701524,0.000007257827,0.000008264096,0.000054639306,0.98283726,0.014299171,0.00017692344,0.00168308,0.00030612428],"about_ca_topic_score_codex":0.00007851598,"about_ca_topic_score_gemma":0.000056096163,"teacher_disagreement_score":0.98738575,"about_ca_system_score_codex":0.000093858805,"about_ca_system_score_gemma":0.000007758899,"threshold_uncertainty_score":0.6696699},"labels":[],"label_agreement":null},{"id":"W2771499184","doi":"10.1109/twc.2017.2777825","title":"Power-Aware Optimized RRH to BBU Allocation in C-RAN","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Royal Commission for Jubail and Yanbu","keywords":"Computer science; Resource allocation; Scalability; Cloud computing; Distributed computing; C-RAN; Heuristic; Computational complexity theory; Base station; Computer network; Optimization problem; Wireless; Mathematical optimization; Radio access network; Telecommunications; Algorithm","score_opus":0.023047029595592464,"score_gpt":0.2778483697242464,"score_spread":0.25480134012865396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771499184","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":[0.0091563035,0.00005409761,0.98460054,0.0011004375,0.00047246646,0.0007126036,0.000051744475,0.00043765645,0.0034141487],"genre_scores_gemma":[0.97790813,0.00043054964,0.02069907,0.000051250987,0.000013600584,0.0005607076,0.000019651838,0.00007486962,0.00024214841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881244,0.00008095665,0.00044335917,0.00024323599,0.00014319322,0.0002767896],"domain_scores_gemma":[0.9962023,0.00015196047,0.00009262649,0.003311007,0.00011488168,0.00012721778],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017191029,0.00022918638,0.00027201755,0.00032643546,0.0007130691,0.00012489346,0.0012809052,0.00014086471,0.000044346747],"category_scores_gemma":[0.000017011464,0.00027911796,0.00008046445,0.000280933,0.00009003783,0.0005203351,0.00000956119,0.0004026616,0.00015069336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018385976,0.00012858136,0.000019012816,0.00001839013,0.000028509345,8.4363813e-7,0.00083270174,0.98706067,0.002533251,0.00027993682,0.00007016867,0.009009549],"study_design_scores_gemma":[0.0021049886,0.00008411016,0.00081102166,0.00046819565,0.000041510797,0.000009621979,0.0007415306,0.97639817,0.016603595,0.00011599221,0.0017477297,0.00087354955],"about_ca_topic_score_codex":0.00012691575,"about_ca_topic_score_gemma":0.0011651013,"teacher_disagreement_score":0.96875185,"about_ca_system_score_codex":0.00028007186,"about_ca_system_score_gemma":0.000033948952,"threshold_uncertainty_score":0.9999661},"labels":[],"label_agreement":null},{"id":"W2775595707","doi":"10.1109/comst.2017.2780238","title":"Energy Efficiency on Fully Cloudified Mobile Networks: Survey, Challenges, and Open Issues","year":2017,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cloud computing; Radio access network; Backhaul (telecommunications); Computer network; Mobile edge computing; Server; Base station; Scalability; Efficient energy use; Mobile computing; Distributed computing; Mobile station; Operating system; Engineering","score_opus":0.08849853745017393,"score_gpt":0.3337896046220323,"score_spread":0.24529106717185833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775595707","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":[0.02950649,0.20704554,0.62469244,0.0011082116,0.034343712,0.0071148355,0.0007476523,0.002808223,0.0926329],"genre_scores_gemma":[0.9559916,0.04120659,0.0012816238,0.000010937672,0.00045328014,0.0003725238,0.00013650264,0.00007961467,0.00046731843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99681014,0.001829427,0.0005443708,0.00034285907,0.00015200472,0.00032122576],"domain_scores_gemma":[0.9936232,0.0011829432,0.00027375307,0.004570631,0.00023767636,0.00011180637],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00459201,0.0002829646,0.0005286485,0.00008663108,0.00081652665,0.0004124061,0.002937344,0.00019303188,0.000009565161],"category_scores_gemma":[0.00046413575,0.0003009666,0.00004107227,0.00011151774,0.00022120934,0.00053081807,0.0006180246,0.00019953796,0.000022570628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000082523635,0.00059852423,0.001024288,0.00011372394,0.000382184,0.0000050038147,0.0019129637,0.7821445,0.0018391103,0.023138437,0.007880092,0.18087865],"study_design_scores_gemma":[0.007917386,0.0010908522,0.091485105,0.0013736209,0.0002027977,0.00003080448,0.00082422304,0.44754755,0.004852183,0.0041651847,0.4348944,0.0056158644],"about_ca_topic_score_codex":0.0018517728,"about_ca_topic_score_gemma":0.004549251,"teacher_disagreement_score":0.9264851,"about_ca_system_score_codex":0.00010354438,"about_ca_system_score_gemma":0.00003478999,"threshold_uncertainty_score":0.99994427},"labels":[],"label_agreement":null},{"id":"W2780186416","doi":"10.1109/tit.2020.3030855","title":"Low SNR Asymptotic Rates of Vector Channels With One-Bit Outputs","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"MIMO; Quantization (signal processing); Mutual information; Computer science; Channel (broadcasting); Algorithm; Channel state information; Bit error rate; Mathematics; Topology (electrical circuits); Telecommunications; Wireless","score_opus":0.012784451578956878,"score_gpt":0.21709124646309927,"score_spread":0.20430679488414238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780186416","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":[0.0013489549,0.00004096056,0.9937726,0.000045326717,0.0015117201,0.00086397445,0.00024106675,0.0005808512,0.0015945276],"genre_scores_gemma":[0.99542356,0.00008193005,0.0038749934,0.00005872706,0.00006744895,0.00023177796,0.0001117218,0.00006590282,0.000083971514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985514,0.00006149697,0.0007212485,0.0001754311,0.00027411155,0.00021630542],"domain_scores_gemma":[0.9988509,0.000119470154,0.00028753842,0.00043203385,0.00020844606,0.000101606434],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017434293,0.00036861034,0.0004493682,0.00038589822,0.00007372421,0.00006797985,0.00023219264,0.00028429448,0.00010984414],"category_scores_gemma":[0.000011847103,0.0003749274,0.00012782005,0.00028130336,0.0000602594,0.0008387788,0.0000035454752,0.00060068606,0.00017487937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011371803,0.000031843032,4.0612215e-7,0.0014532408,0.00020753121,4.323217e-7,0.0024146591,0.9906278,0.00026862518,0.0009629369,0.000031271866,0.0038875001],"study_design_scores_gemma":[0.001983031,0.00039803697,0.000032150376,0.002856153,0.00033696237,0.000015231325,0.0011182426,0.51872474,0.46930215,0.00351446,0.0002704639,0.001448417],"about_ca_topic_score_codex":0.0000049065975,"about_ca_topic_score_gemma":0.0000028182244,"teacher_disagreement_score":0.9940746,"about_ca_system_score_codex":0.00018277385,"about_ca_system_score_gemma":0.0000781478,"threshold_uncertainty_score":0.99987024},"labels":[],"label_agreement":null},{"id":"W2780291396","doi":"10.1109/twc.2017.2785301","title":"Joint Resource Allocation and Dynamic Activation of Energy Harvesting Small Cells in OFDMA HetNets","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Greedy algorithm; Quality of service; Macrocell; Orthogonal frequency-division multiple access; Mathematical optimization; Base station; Energy consumption; Computer network; Channel (broadcasting); Algorithm; Orthogonal frequency-division multiplexing","score_opus":0.02579028577704613,"score_gpt":0.2403123368372909,"score_spread":0.21452205106024477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780291396","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":[0.10031239,0.0001048033,0.898127,0.00030123146,0.0000953018,0.00022018941,0.000024534462,0.00012830825,0.0006862374],"genre_scores_gemma":[0.9908172,0.0011464391,0.007662226,0.000011419293,0.000006189989,0.00014832315,0.000016926166,0.000043152875,0.00014813979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991009,0.00008207114,0.0004145881,0.00016877383,0.000084352025,0.0001492811],"domain_scores_gemma":[0.99816227,0.00014736652,0.00020072612,0.0013660621,0.00007554564,0.000048010857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001411669,0.00015396642,0.00020888916,0.00024174433,0.00037329644,0.000051184663,0.00041398345,0.000111139605,0.0000031167267],"category_scores_gemma":[0.000010785544,0.00018846984,0.00003913511,0.00015143781,0.00013117935,0.00036284092,0.000008300029,0.00023538287,0.0000014511558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074465534,0.00009468781,0.00003427636,0.00006878479,0.000025329995,1.8093598e-7,0.0003987335,0.80940294,0.12995394,0.00040399237,0.0000035320647,0.059606165],"study_design_scores_gemma":[0.0004239565,0.00002054251,0.00095856184,0.00042173598,0.000019324529,0.0000020800173,0.00014729136,0.84719884,0.15036693,0.00007057123,0.00016879245,0.00020136763],"about_ca_topic_score_codex":0.0004306861,"about_ca_topic_score_gemma":0.002142868,"teacher_disagreement_score":0.8905048,"about_ca_system_score_codex":0.00012896249,"about_ca_system_score_gemma":0.000019846588,"threshold_uncertainty_score":0.7685577},"labels":[],"label_agreement":null},{"id":"W2780395788","doi":"10.1109/tcomm.2017.2788012","title":"On Base Station Coordination in Cache- and Energy Harvesting-Enabled HetNets: A Stochastic Geometry Study","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Macrocell; Stochastic geometry; Base station; Computer science; Cache; Coverage probability; Heterogeneous network; Transmission (telecommunications); Interference (communication); Cellular network; Computer network; Energy harvesting; Wireless network; Wireless; Energy (signal processing); Channel (broadcasting); Telecommunications; Mathematics; Statistics","score_opus":0.02547354959278848,"score_gpt":0.2719022820426341,"score_spread":0.24642873244984564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780395788","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":[0.032099087,0.00007684954,0.96580195,0.00028065307,0.00023302317,0.00041663952,0.00004514519,0.00022335225,0.0008232984],"genre_scores_gemma":[0.9962881,0.000060331502,0.0026316966,0.000017931165,0.0000103215325,0.00041301988,0.00002321633,0.000046863013,0.0005085212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998979,0.00013081938,0.00034909768,0.00022325428,0.00013513037,0.00018271315],"domain_scores_gemma":[0.99775153,0.00039236568,0.000116709205,0.0015782036,0.000089137,0.00007204953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354372,0.00018871827,0.0001950481,0.00044153797,0.00073884596,0.00013378235,0.000409634,0.000081009064,0.000011502233],"category_scores_gemma":[0.000075270495,0.00022259666,0.000029308061,0.00025915407,0.000079087185,0.0005539943,0.0000063203734,0.0003106848,0.00001002333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018015433,0.00038829792,0.00004440085,0.000015961066,0.000033059758,0.0000011910405,0.0005746682,0.98587155,0.00038699282,0.0005643306,0.000026701984,0.012074847],"study_design_scores_gemma":[0.0017499072,0.00020315866,0.0021292886,0.00015898493,0.000050826682,0.000005311241,0.0007254088,0.99369484,0.0004505733,0.0004190411,0.00007819187,0.00033448625],"about_ca_topic_score_codex":0.0006776544,"about_ca_topic_score_gemma":0.005108884,"teacher_disagreement_score":0.964189,"about_ca_system_score_codex":0.00023083367,"about_ca_system_score_gemma":0.000022046885,"threshold_uncertainty_score":0.90772283},"labels":[],"label_agreement":null},{"id":"W2780502444","doi":"10.1109/spawc.2017.8227726","title":"Impact of residual transceiver impairments on MMSE filtering performance of Rayleigh-product MIMO channels","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Transceiver; Residual; MIMO; Computer science; Minimum mean square error; Electronic engineering; Wireless; Channel (broadcasting); Mathematics; Algorithm; Telecommunications; Engineering; Statistics","score_opus":0.017024163391662846,"score_gpt":0.2642254391178297,"score_spread":0.24720127572616685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780502444","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":[0.9917328,0.000038951934,0.00493277,0.00000515647,0.00028098453,0.00024085867,0.000021081521,0.000076940465,0.002670497],"genre_scores_gemma":[0.9979249,0.00005945021,0.0016151762,0.0000010829548,0.00008341649,0.000008380929,0.000006086072,0.00003457501,0.0002668793],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920243,0.000009957437,0.00029202632,0.00015778841,0.00013048753,0.00020728992],"domain_scores_gemma":[0.9991812,0.000013200232,0.00012223699,0.000577486,0.00005958711,0.0000462936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010679448,0.00016388053,0.00025721357,0.00009619776,0.000065822736,0.000014966281,0.00023156623,0.000047294663,0.00007882548],"category_scores_gemma":[0.00001592876,0.00014176815,0.00008003032,0.00004880919,0.000039972743,0.00041385958,0.00001776897,0.000074106436,0.000009635745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078457866,0.00003700078,0.006855493,0.0002461057,0.000078673016,0.000001445118,0.00042867186,0.888146,0.10256815,0.0000081766875,0.00014304729,0.0014088034],"study_design_scores_gemma":[0.0017570517,0.0008729782,0.14647932,0.00049566897,0.000030714255,0.000009352862,0.00004282476,0.13501203,0.71481735,0.000013260005,0.00001881499,0.0004506123],"about_ca_topic_score_codex":0.000060355265,"about_ca_topic_score_gemma":0.0000030076014,"teacher_disagreement_score":0.75313395,"about_ca_system_score_codex":0.00006125206,"about_ca_system_score_gemma":0.000012270241,"threshold_uncertainty_score":0.57811373},"labels":[],"label_agreement":null},{"id":"W2782666205","doi":"10.1109/tcomm.2017.2789211","title":"Stair Matrix and Its Applications to Massive MIMO Uplink Data Detection","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"MIMO; Telecommunications link; Diagonal; Computer science; Algorithm; Matrix (chemical analysis); Computational complexity theory; Base station; Convergence (economics); Iterative method; Channel (broadcasting); Performance improvement; Transmission (telecommunications); Data transmission; Diagonal matrix; Mathematical optimization; Computer engineering; Mathematics; Telecommunications; Engineering; Computer network","score_opus":0.04023690209758715,"score_gpt":0.311482366768363,"score_spread":0.2712454646707758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782666205","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":[0.00038701674,0.000445699,0.99570024,0.0004874274,0.0002362134,0.00093740027,0.00025200122,0.0006147299,0.0009392608],"genre_scores_gemma":[0.96030444,0.0006751507,0.037719984,0.00003787266,0.000072158036,0.00067185,0.000054654814,0.00006003616,0.0004038403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990366,0.000049832175,0.0003162231,0.0002972264,0.00009663762,0.00020346488],"domain_scores_gemma":[0.99688196,0.00017550094,0.000048662518,0.0025676591,0.00018792538,0.00013827138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012469038,0.0001771452,0.00014860548,0.00024424377,0.000615404,0.00005199059,0.00081551465,0.00010356134,0.000031709835],"category_scores_gemma":[0.000012140112,0.00021043811,0.000027400323,0.00063668675,0.000080462945,0.00041243542,0.000019613919,0.00026324842,0.00034843464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056348643,0.0004088768,0.0000063777343,0.00017973367,0.0003211308,7.2390185e-7,0.0018488963,0.6816161,0.0786253,0.0026137065,0.0011034943,0.2332193],"study_design_scores_gemma":[0.00037272528,0.000100150224,0.000022136821,0.00006136767,0.000090901434,0.000014326431,0.0002819579,0.9304683,0.026680095,0.00020317004,0.04128161,0.00042320968],"about_ca_topic_score_codex":0.000017792607,"about_ca_topic_score_gemma":0.00049698795,"teacher_disagreement_score":0.9599174,"about_ca_system_score_codex":0.00012327335,"about_ca_system_score_gemma":0.000022691589,"threshold_uncertainty_score":0.8581417},"labels":[],"label_agreement":null},{"id":"W2782749771","doi":"10.1109/glocom.2017.8254200","title":"Energy-Efficient Resource Allocation in Heterogeneous Small Cell Networks with WiFi Spectrum Sharing","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Resource allocation; Transmitter power output; Lyapunov optimization; Quality of service; Mathematical optimization; Optimization problem; Interference (communication); Resource management (computing); Channel state information; Limit (mathematics); Efficient energy use; Channel (broadcasting); Computer network; Wireless; Telecommunications; Mathematics; Algorithm; Engineering; Lyapunov exponent","score_opus":0.00831895972553982,"score_gpt":0.18652514661550207,"score_spread":0.17820618688996226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782749771","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":[0.057541102,0.00017335587,0.9196911,0.000019742754,0.000109577,0.0001490903,5.3480557e-7,0.00022774363,0.022087777],"genre_scores_gemma":[0.9948148,0.000020702051,0.0038511145,0.00001476402,0.000081943785,0.000026407492,0.000011403627,0.000053714473,0.0011251097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999216,0.0000088814195,0.0001936565,0.00023872491,0.00007199744,0.00027070555],"domain_scores_gemma":[0.9992885,0.000011925486,0.000068339046,0.00056060206,0.000015414325,0.000055212084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084809486,0.00015124245,0.00013453487,0.000094220624,0.00010563934,0.00009628594,0.00024541075,0.00007236453,0.000009123472],"category_scores_gemma":[0.0000039300608,0.00014375396,0.0000196555,0.000088024724,0.00001779701,0.000083287916,0.000052091786,0.00009518733,0.000005547246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007661212,0.0000127466965,0.00063549547,0.000018784054,0.000005174038,0.000009084255,0.00006271134,0.99827087,0.0002332826,0.0002973015,0.000014572469,0.00043231525],"study_design_scores_gemma":[0.0003070383,0.000019305955,0.00018615533,0.000052033276,0.0000042852953,0.000008904717,0.000022400149,0.9913356,0.0074466397,0.000011606624,0.0004196093,0.00018642502],"about_ca_topic_score_codex":0.0000948716,"about_ca_topic_score_gemma":0.00068213773,"teacher_disagreement_score":0.93727374,"about_ca_system_score_codex":0.00012174371,"about_ca_system_score_gemma":0.0000052944793,"threshold_uncertainty_score":0.5862117},"labels":[],"label_agreement":null},{"id":"W2782749873","doi":"10.1109/glocom.2017.8254566","title":"Coverage and Capacity Analysis with Stretched Exponential Path Loss in Ultra-Dense Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Rayleigh fading; Coverage probability; Path loss; Computer science; Stochastic geometry; Base station; Spectral efficiency; Interference (communication); Poisson point process; Throughput; Topology (electrical circuits); Bounded function; Fading; Computer network; Channel (broadcasting); Algorithm; Poisson distribution; Telecommunications; Mathematics; Statistics; Wireless","score_opus":0.007317453096333347,"score_gpt":0.19974859348216026,"score_spread":0.1924311403858269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782749873","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":[0.48476556,0.000023284516,0.5142959,0.0000042330494,0.00003558212,0.00007455079,0.0000035452024,0.00005259017,0.0007447917],"genre_scores_gemma":[0.99724674,0.00006606552,0.0025493607,0.000004345367,0.000034443106,0.000008957575,0.0000109956645,0.000017128748,0.00006196681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945265,0.000014456218,0.000143906,0.00015957309,0.00006654973,0.00016284782],"domain_scores_gemma":[0.99953234,0.00001951857,0.000050539205,0.00032458224,0.000021437183,0.00005157367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007650583,0.00011758716,0.00020737325,0.000073234536,0.000068017165,0.000076910066,0.00007735387,0.00006593889,0.00002486245],"category_scores_gemma":[0.000013666244,0.00010361525,0.000024388492,0.00011107206,0.000037838618,0.00029280924,0.000011089129,0.00009559149,0.0000014957445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011870694,0.0000064281685,0.08132075,0.000012240236,0.00009223644,0.000015785761,0.00016778706,0.9178149,0.00021360256,0.00004590559,0.0000054801058,0.00029299915],"study_design_scores_gemma":[0.0008015925,0.000016628652,0.057380483,0.00002583333,0.00008716785,0.0000059726303,0.000060326285,0.9406292,0.00072553346,0.00002918234,0.000008205377,0.00022990581],"about_ca_topic_score_codex":0.0002331555,"about_ca_topic_score_gemma":0.0015357393,"teacher_disagreement_score":0.51248115,"about_ca_system_score_codex":0.00003818688,"about_ca_system_score_gemma":0.0000030876693,"threshold_uncertainty_score":0.42253074},"labels":[],"label_agreement":null},{"id":"W2783162669","doi":"10.1109/jiot.2018.2792300","title":"Optimization Algorithms for Multiaccess Green Communications in Internet of Things","year":2018,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Computer science; Power domains; Upper and lower bounds; Wireless; Mathematical optimization; Approximation algorithm; Optimization problem; Convex optimization; Convex function; Transmitter power output; Relaxation (psychology); Power (physics); Algorithm; Mathematics; Regular polygon; Telecommunications; Channel (broadcasting)","score_opus":0.030905038240068263,"score_gpt":0.3014459473033951,"score_spread":0.27054090906332684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783162669","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":[0.010777166,0.00021368833,0.9869845,0.000061606224,0.0008645596,0.0002654858,0.000004520356,0.000057573867,0.0007708907],"genre_scores_gemma":[0.6789539,0.00007367762,0.32058063,0.000032759166,0.00009842338,0.000012748967,0.000009218791,0.00004144293,0.00019718728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856335,0.00004943545,0.00089444,0.00013110106,0.00016049361,0.00020118094],"domain_scores_gemma":[0.99855703,0.00012131344,0.00047436808,0.00031694514,0.00047150985,0.000058838068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005124144,0.00016270453,0.00032156572,0.0003356921,0.000030225803,0.000043432414,0.0008179769,0.0001229825,0.000034674325],"category_scores_gemma":[0.00009535867,0.00016638935,0.000098234304,0.00019401578,0.00011969988,0.0011656726,0.00008047303,0.0002994344,0.000002762884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023294326,0.0002591022,0.0018149844,0.0006229536,0.00040683948,0.000004903329,0.04608833,0.8932314,0.015525166,0.0004611788,0.0026442,0.038708016],"study_design_scores_gemma":[0.00072590064,0.00012115425,0.000022354809,0.0005677162,0.000020125184,0.000040274746,0.00016009745,0.9709008,0.026803374,0.00026413932,0.00023151122,0.00014256647],"about_ca_topic_score_codex":0.00036424474,"about_ca_topic_score_gemma":0.000029886814,"teacher_disagreement_score":0.6681768,"about_ca_system_score_codex":0.00014589398,"about_ca_system_score_gemma":0.000020334957,"threshold_uncertainty_score":0.67851603},"labels":[],"label_agreement":null},{"id":"W2783241750","doi":"10.1109/glocom.2017.8254956","title":"Relay-Aided Energy and Information Transmission in mmWave Massive MIMO Systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"MIMO; Relay; Path loss; Throughput; Fading; Transmission (telecommunications); Computer science; Energy harvesting; Spectral efficiency; Node (physics); Channel (broadcasting); Electronic engineering; Efficient energy use; Energy (signal processing); 3G MIMO; Wireless; Computer network; Telecommunications; Engineering; Mathematics; Electrical engineering; Power (physics); Physics; Statistics","score_opus":0.0058494907474130955,"score_gpt":0.19704122670122687,"score_spread":0.19119173595381378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783241750","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":[0.00481668,0.0003034349,0.96902144,0.000063811014,0.00028217005,0.00018945266,0.0000029701678,0.0001607944,0.025159221],"genre_scores_gemma":[0.99565923,0.0002873769,0.0036778476,0.000009730186,0.000025303987,0.000027543618,0.000014013099,0.000013925759,0.00028501064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946475,0.0000117267555,0.00025552,0.00007533925,0.000068119996,0.00012455777],"domain_scores_gemma":[0.99963087,0.000017526852,0.00006487059,0.00020692013,0.00003015049,0.000049639893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000703192,0.0000995037,0.00013079238,0.00010426421,0.00007684845,0.00010265046,0.00007605468,0.000094949326,0.0000066018692],"category_scores_gemma":[0.00002242305,0.00009233151,0.000012847012,0.000038646805,0.000013798619,0.0017894948,0.000013293555,0.00004975193,0.0000057763036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010734381,0.000004390387,0.00020194352,0.00019663076,0.000012218866,0.0000041402427,0.0005018283,0.96271765,0.0018831146,0.012593795,0.000286828,0.021586737],"study_design_scores_gemma":[0.0004891902,0.000013092003,0.0004048854,0.00014949363,0.0000043547716,0.000007361624,0.0002257941,0.98987114,0.0020983214,0.00012293003,0.0064493935,0.00016400998],"about_ca_topic_score_codex":0.00017111731,"about_ca_topic_score_gemma":0.000036397247,"teacher_disagreement_score":0.9908426,"about_ca_system_score_codex":0.000057028912,"about_ca_system_score_gemma":0.0000058164765,"threshold_uncertainty_score":0.37651697},"labels":[],"label_agreement":null},{"id":"W2783454754","doi":"10.1109/icecta.2017.8252016","title":"On linear detector's spectral capacity for massive MIMO systems","year":2017,"lang":"en","type":"article","venue":"2017 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"MIMO; Channel state information; Spectral efficiency; Minimum mean square error; Computer science; Base station; Antenna (radio); Topology (electrical circuits); Detector; Control theory (sociology); Telecommunications; Mathematics; Channel (broadcasting); Wireless; Statistics","score_opus":0.03465278834777638,"score_gpt":0.27570796750305604,"score_spread":0.24105517915527966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783454754","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":[0.045599133,0.00016958092,0.94695175,0.0008508316,0.00024896403,0.0008449845,0.000051168794,0.00087635574,0.0044072284],"genre_scores_gemma":[0.9940936,0.0001771206,0.0053103934,0.0000107875985,0.00012397201,0.00019821424,0.000010629471,0.0000150788255,0.000060182658],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991815,0.0000068391,0.00019035688,0.000308634,0.00010359166,0.00020908102],"domain_scores_gemma":[0.99926925,0.00011990944,0.00013742012,0.00030962378,0.00012679552,0.000037002992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007266444,0.00016847336,0.00018060552,0.000118351454,0.0004404592,0.00019718001,0.0004053894,0.00014013743,0.0000014053571],"category_scores_gemma":[0.00013006627,0.00015424026,0.00003142477,0.000055862674,0.00010922595,0.00008303693,0.00006803124,0.00022740674,0.000005638234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032137905,0.00004880752,0.00020607092,0.00005380955,0.00006973606,0.0000012269824,0.000020437576,0.01361968,0.0033870304,0.8450875,0.00024593686,0.13722762],"study_design_scores_gemma":[0.00032407846,0.00015045452,0.00030776093,0.00006411784,0.000009828046,0.0000105371655,0.000055189423,0.97803086,0.0019653973,0.01748233,0.0013799437,0.00021948172],"about_ca_topic_score_codex":0.0000144891455,"about_ca_topic_score_gemma":0.0000049688924,"teacher_disagreement_score":0.9644112,"about_ca_system_score_codex":0.00006620826,"about_ca_system_score_gemma":0.000009127671,"threshold_uncertainty_score":0.62897354},"labels":[],"label_agreement":null},{"id":"W2783478381","doi":"10.1109/glocom.2017.8254627","title":"Auction Based Distributed Resource Allocation for Delay Aware OFDM Based Cloud-RAN System","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Resource allocation; Computer network; Scalability; Cloud computing; C-RAN; Radio access network; Orthogonal frequency-division multiplexing; Queueing theory; Distributed computing; Resource management (computing); Optimization problem; Radio resource management; Bandwidth (computing); Macrocell; Base station; Wireless; Wireless network; Channel (broadcasting); Telecommunications; Mobile station","score_opus":0.012550126053850185,"score_gpt":0.2314667876590702,"score_spread":0.21891666160522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783478381","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":[0.0011286533,0.000020573347,0.99528974,0.00013424459,0.00060461584,0.00081375364,0.0001207779,0.0009920152,0.000895615],"genre_scores_gemma":[0.98453957,6.2334857e-7,0.013938881,0.000017365788,0.00023603039,0.00022312466,0.0007876448,0.00006486225,0.00019191594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990675,0.000026617752,0.00031057338,0.00023588754,0.00012392677,0.00023549823],"domain_scores_gemma":[0.99886113,0.00007709555,0.00014098914,0.00068079244,0.00016128467,0.00007867621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021151491,0.0001833439,0.00019661488,0.000071032184,0.00036955514,0.00010275196,0.00020932776,0.00014128708,0.000011523514],"category_scores_gemma":[0.000109812645,0.0001891344,0.00007319025,0.00007373877,0.000021947151,0.00026395722,0.00001141054,0.000070596514,0.00001538828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028023791,0.0000096334725,0.00008972465,0.0003704877,0.000015064298,8.493431e-7,0.000014453164,0.9957109,0.00077654334,0.00032758786,0.0021187118,0.0005379825],"study_design_scores_gemma":[0.0010008279,0.000026363812,0.000147895,0.00013825517,0.000027947988,0.0000022066067,0.000116826144,0.98386854,0.0075809103,0.0000061614755,0.006868105,0.0002159868],"about_ca_topic_score_codex":0.000038067894,"about_ca_topic_score_gemma":0.00005151251,"teacher_disagreement_score":0.9834109,"about_ca_system_score_codex":0.00034551672,"about_ca_system_score_gemma":0.000025073981,"threshold_uncertainty_score":0.7712677},"labels":[],"label_agreement":null},{"id":"W2783511903","doi":"10.48550/arxiv.1801.05349","title":"Joint CSI Estimation, Beamforming and Scheduling Design for Wideband Massive MIMO System","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Western University; Université du Québec à Montréal","funders":"","keywords":"Beamforming; Computer science; MIMO; Scheduling (production processes); Channel state information; Telecommunications link; Orthogonal frequency-division multiplexing; Wideband; WSDMA; Multiplexing; Channel (broadcasting); Precoding; Electronic engineering; Algorithm; Telecommunications; Wireless; Mathematical optimization; Engineering; Mathematics","score_opus":0.054933946029857586,"score_gpt":0.18349602767654125,"score_spread":0.12856208164668365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783511903","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":[0.029871825,0.00018604605,0.96718353,0.0000063001266,0.0006710174,0.0011810855,0.000032430085,0.00055234,0.0003154012],"genre_scores_gemma":[0.84337324,0.00006569342,0.15613854,0.000003990686,0.00013063307,0.000011846198,0.00004686631,0.00007689774,0.00015231699],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986351,0.000046091132,0.0003336406,0.0006092236,0.000048966638,0.00032699],"domain_scores_gemma":[0.9987925,0.00013071277,0.00024172368,0.0004417378,0.00025938262,0.00013392753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026182205,0.00037440224,0.00044446596,0.0002724609,0.00020148436,0.00007775678,0.00021456908,0.0003480215,0.0000041516237],"category_scores_gemma":[0.000090740024,0.00046257523,0.00010070293,0.00019769775,0.00007071,0.00036634583,0.00018201796,0.00024112983,0.000013398651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023596667,0.000005601641,0.000050955423,0.001287012,0.000110009605,0.0000140060565,0.00021196254,0.9954688,0.00019298942,0.0024602993,0.00007315003,0.00010159946],"study_design_scores_gemma":[0.00054307276,0.000034447523,0.0000071467994,0.0009077988,0.00015744935,0.000008271879,0.00039162044,0.9935089,0.0016299003,0.0023261097,0.00003332812,0.0004519666],"about_ca_topic_score_codex":0.000015970134,"about_ca_topic_score_gemma":0.000005660596,"teacher_disagreement_score":0.8135014,"about_ca_system_score_codex":0.0005272066,"about_ca_system_score_gemma":0.00006311743,"threshold_uncertainty_score":0.9997826},"labels":[],"label_agreement":null},{"id":"W2783856446","doi":"10.1109/glocom.2017.8254787","title":"Adaptive Beamforming Based Inband Fronthaul for Cost-Effective Virtual Small Cell in 5G Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Western University","funders":"","keywords":"Macrocell; Computer science; Beamforming; Small cell; Cellular network; Computer network; Virtual network; Base station; Spectral efficiency; Throughput; Software deployment; Wireless; Telecommunications","score_opus":0.014482502331480681,"score_gpt":0.22803550427130134,"score_spread":0.21355300193982066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783856446","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":[0.0036569904,0.000086586544,0.98533076,0.0000066692965,0.00042123027,0.002491061,0.000013063336,0.0001363804,0.007857286],"genre_scores_gemma":[0.9633663,0.000006563646,0.035163723,0.000021242506,0.00011936987,0.0009253507,0.000019940211,0.000054234843,0.00032324356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922615,0.000015322374,0.00020785534,0.00020379933,0.00004893724,0.00029792322],"domain_scores_gemma":[0.9993216,0.00018916873,0.00008118319,0.00029656824,0.00005194527,0.00005956066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016714854,0.00018010731,0.00023042256,0.000075921365,0.00013248711,0.000054236538,0.00016750953,0.00013095846,0.000010196571],"category_scores_gemma":[0.000058705595,0.0001828396,0.00004993483,0.000042460666,0.000024052906,0.00032173897,0.000021159722,0.00013670018,0.0000047139065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047426696,0.000013626624,0.00035158615,0.000022806926,0.000009539538,0.0000016244993,0.00009620852,0.9862106,0.00026755346,0.00010326294,0.00009630616,0.0127795],"study_design_scores_gemma":[0.0016699141,0.00009624299,0.0004113185,0.000069501126,0.000009222488,4.1965853e-7,0.0001436732,0.99085885,0.005953777,0.00003029854,0.00053120236,0.00022558117],"about_ca_topic_score_codex":0.00010018097,"about_ca_topic_score_gemma":0.00094665005,"teacher_disagreement_score":0.95970935,"about_ca_system_score_codex":0.00018896385,"about_ca_system_score_gemma":0.000013142448,"threshold_uncertainty_score":0.74559826},"labels":[],"label_agreement":null},{"id":"W2783864663","doi":"10.1109/glocom.2017.8253972","title":"Block Gauss-Seidel Method Based Detection in Vehicle-to-Infrastructure Massive MIMO Uplink","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Telecommunications link; Computer science; MIMO; Gauss–Seidel method; Block (permutation group theory); Computational complexity theory; Base station; Wireless; Efficient energy use; Vehicular ad hoc network; Computer engineering; Electronic engineering; Iterative method; Real-time computing; Computer network; Algorithm; Wireless ad hoc network; Telecommunications; Engineering; Channel (broadcasting); Electrical engineering; Mathematics","score_opus":0.008944675506168048,"score_gpt":0.26220217143376195,"score_spread":0.2532574959275939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783864663","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":[0.018733384,0.000015935515,0.97705305,0.000120382385,0.00048312894,0.00037943912,0.000004380153,0.00029014234,0.0029201389],"genre_scores_gemma":[0.80515206,0.0000025853954,0.19440378,0.00005363211,0.00008654287,0.00004420802,0.0000033575452,0.00004617766,0.0002076419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990885,0.000025862462,0.00026963803,0.00025575812,0.00009887141,0.00026133112],"domain_scores_gemma":[0.99916565,0.000049895432,0.00007318731,0.00055008585,0.000065618304,0.000095530486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014820736,0.00018881736,0.00021214767,0.00017065479,0.00012470562,0.00007513714,0.0002202956,0.00016465673,0.00004747775],"category_scores_gemma":[0.00014693597,0.00018983369,0.00004268262,0.00013375141,0.000012301083,0.00026717718,0.00003814224,0.00019927266,0.00004726628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001028892,0.0000035004493,0.0005629639,0.000031175263,0.0000079164565,0.0000047560675,0.000051258834,0.95335686,0.033651527,0.00003281598,0.00010828492,0.012178669],"study_design_scores_gemma":[0.00052750995,0.000018754405,0.0053006927,0.000037201546,0.000006698204,0.0000029337248,0.000034716588,0.91408765,0.079189576,0.00016651185,0.00041272305,0.00021501892],"about_ca_topic_score_codex":0.00007835581,"about_ca_topic_score_gemma":0.00023841356,"teacher_disagreement_score":0.7864187,"about_ca_system_score_codex":0.00018901486,"about_ca_system_score_gemma":0.000015527374,"threshold_uncertainty_score":0.7741194},"labels":[],"label_agreement":null},{"id":"W2784141234","doi":"10.1109/glocom.2017.8254647","title":"Base Station Operation and User Association in HetNets: Complexity and Heuristic Algorithms","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Base station; Benchmark (surveying); Computer science; Heuristic; Algorithm; Base (topology); Reduction (mathematics); Computational complexity theory; Set (abstract data type); Brute force; Time complexity; Mathematical optimization; Mathematics; Computer network; Artificial intelligence","score_opus":0.020670008120730634,"score_gpt":0.25793313353032804,"score_spread":0.2372631254095974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784141234","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":[0.1921986,0.0001116376,0.8052967,0.00016738164,0.00020413943,0.00035083154,0.000021279959,0.00013272592,0.0015167042],"genre_scores_gemma":[0.9756874,0.00008735857,0.023911744,0.000014112696,0.000029912102,0.000012875875,0.00003367829,0.00001265374,0.00021030004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995749,0.000019809053,0.0001430631,0.000109333116,0.00006106124,0.0000918198],"domain_scores_gemma":[0.99974775,0.000032219647,0.000050204795,0.00011167254,0.00002893684,0.000029232875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015775263,0.00007082894,0.00009417757,0.000041650033,0.00010629726,0.00012137349,0.000029122722,0.00005022359,0.0000132592495],"category_scores_gemma":[0.000101939666,0.00007546899,0.000004645864,0.000017982451,0.000014902446,0.00056506903,0.000015685313,0.00005334147,0.000004327453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002632263,0.00006781182,0.2868215,0.00039959367,0.000061908315,0.000011950273,0.0020224508,0.66450137,0.0062289443,0.008305745,0.0018589592,0.029693436],"study_design_scores_gemma":[0.000529105,0.000010486241,0.10104393,0.000016803067,0.000004297833,0.000001449759,0.000057066296,0.8974466,0.000339799,0.00033243865,0.00011170636,0.00010636263],"about_ca_topic_score_codex":0.00018494973,"about_ca_topic_score_gemma":0.0008374907,"teacher_disagreement_score":0.78348875,"about_ca_system_score_codex":0.000116368385,"about_ca_system_score_gemma":0.0000037762818,"threshold_uncertainty_score":0.3077536},"labels":[],"label_agreement":null},{"id":"W2784187198","doi":"10.1109/glocom.2017.8254815","title":"Quantized Hybrid Precoding for Massive Multiuser MIMO with Insertion Loss","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Precoding; MIMO; Insertion loss; Computer science; Zero-forcing precoding; Control theory (sociology); Electronic engineering; Computer network; Engineering; Electrical engineering; Artificial intelligence; Channel (broadcasting)","score_opus":0.018303171332411633,"score_gpt":0.25184960529491157,"score_spread":0.23354643396249994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784187198","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":[0.08236849,0.00002073663,0.91422963,0.000050042352,0.0002797133,0.00054471975,0.00000857423,0.00031028525,0.0021878106],"genre_scores_gemma":[0.9218753,0.0000133237745,0.07714565,0.000007976417,0.00006891383,0.000108936256,0.000014731913,0.000046213227,0.00071893533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994614,0.0000053760255,0.00014864795,0.00015097018,0.000056822788,0.00017676098],"domain_scores_gemma":[0.99944216,0.00003350697,0.00007745671,0.00032686748,0.000079668396,0.0000403455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006088275,0.000121774356,0.00014369431,0.000040377316,0.00017922581,0.000079093494,0.00012360561,0.00003690456,0.000015157229],"category_scores_gemma":[0.00006476392,0.00010309035,0.000029883828,0.000019380455,0.000020267451,0.00051875826,0.000014689215,0.000046361805,0.000015292879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018307673,0.000026356987,0.004538569,0.0003226469,0.000117929696,0.000009297046,0.00022852728,0.96709144,0.019827163,0.0012842002,0.0009690826,0.00540171],"study_design_scores_gemma":[0.002239719,0.000052686144,0.0010857714,0.00012221541,0.000022577826,0.000008546801,0.0000660983,0.9169818,0.07778377,0.00012240579,0.0011941073,0.00032030762],"about_ca_topic_score_codex":0.000018926301,"about_ca_topic_score_gemma":0.00007433104,"teacher_disagreement_score":0.8395068,"about_ca_system_score_codex":0.00005226618,"about_ca_system_score_gemma":0.0000069596845,"threshold_uncertainty_score":0.42039025},"labels":[],"label_agreement":null},{"id":"W2784220002","doi":"10.3384/lic.diva-144221","title":"Resource Allocation for Max-Min Fairness in Multi-Cell Massive MIMO","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"MIMO; Spatial multiplexing; Computer science; Computer network; Base station; Telecommunications link; Spectral efficiency; Multi-user MIMO; Wireless; Backhaul (telecommunications); Resource allocation; Wireless network; Cellular network; Transmitter power output; Multiplexing; Power control; Telecommunications; Power (physics); Channel (broadcasting); Transmitter","score_opus":0.012500965613188962,"score_gpt":0.25429754274267746,"score_spread":0.2417965771294885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784220002","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":[0.004912984,0.00047373617,0.9733312,0.000012102237,0.0011070255,0.001967774,0.000035177603,0.00043641575,0.017723573],"genre_scores_gemma":[0.5439892,0.00013652623,0.2550427,0.00004310116,0.0006210163,0.0026785966,0.016356092,0.00076685287,0.18036593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987248,0.000020033947,0.0004906062,0.0003632554,0.00011673316,0.00028453604],"domain_scores_gemma":[0.99927354,0.00005794183,0.00014280657,0.00029308762,0.00018170022,0.00005090153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011967673,0.00032644861,0.0003279243,0.00029149905,0.000041869585,0.000032288066,0.0001810846,0.0004650263,0.00004213308],"category_scores_gemma":[0.000058292106,0.0003655971,0.00006962508,0.00022332602,0.000010085445,0.00016777191,0.000007893326,0.00016044288,0.000060856644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018772024,0.00017698681,0.00005782424,0.004966248,0.00008216108,0.00000569118,0.006043811,0.94794494,0.017438887,0.0005388278,0.011571977,0.010984955],"study_design_scores_gemma":[0.0024452629,0.00007006331,0.00017460878,0.0006371869,0.00006026229,0.0000012010282,0.0066148224,0.9086811,0.06268641,0.00010950649,0.01739433,0.0011252348],"about_ca_topic_score_codex":0.000034894787,"about_ca_topic_score_gemma":0.0014775812,"teacher_disagreement_score":0.7182885,"about_ca_system_score_codex":0.00024633942,"about_ca_system_score_gemma":0.000032909702,"threshold_uncertainty_score":0.9998796},"labels":[],"label_agreement":null},{"id":"W2784292479","doi":"10.1109/glocom.2017.8253944","title":"Performance Analysis of Traffic-Adaptive MAC Strategies for Mobile Device-to-Device Communications","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Computer network; Throughput; Efficient energy use; Schedule; Mobile device; Transmission (telecommunications); Data transmission; Mobile telephony; Wireless; Mobile radio; Telecommunications; Engineering","score_opus":0.03709696331932358,"score_gpt":0.3042443438227814,"score_spread":0.2671473805034579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784292479","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":[0.2800517,0.00019690952,0.6977237,0.000030606323,0.000095102405,0.0009678916,0.0000803917,0.00025380088,0.02059989],"genre_scores_gemma":[0.931475,0.00006948581,0.06798787,0.000007767689,0.000012914252,0.00025065802,0.00003131689,0.000020132531,0.00014489834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994124,0.000009274589,0.00025894653,0.00011659268,0.000063465224,0.00013931666],"domain_scores_gemma":[0.99854225,0.00007493475,0.0001009467,0.0010660718,0.00017351299,0.000042270203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010353141,0.00010899439,0.00025462933,0.00016187453,0.00019309092,0.000048706468,0.0005148919,0.00004733583,0.000021475478],"category_scores_gemma":[0.000015783775,0.000109377055,0.000074781325,0.00023922206,0.000041066938,0.0004573119,0.00005324922,0.00004915994,0.0000081087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055840746,0.000012057297,0.00016606561,0.000052064966,0.00023685927,2.9545859e-8,0.00047940065,0.9947711,0.00046002385,0.00068622554,0.000048513357,0.0030820698],"study_design_scores_gemma":[0.0001361262,0.00004329988,0.0011841148,0.000023665762,0.0002068302,1.596628e-7,0.0015840775,0.9954431,0.0006184044,0.0000065499034,0.00062622584,0.0001274574],"about_ca_topic_score_codex":0.000027850421,"about_ca_topic_score_gemma":0.0006943738,"teacher_disagreement_score":0.6514233,"about_ca_system_score_codex":0.00004378178,"about_ca_system_score_gemma":0.00001849204,"threshold_uncertainty_score":0.44602668},"labels":[],"label_agreement":null},{"id":"W2784739917","doi":"10.1109/pimrc.2017.8292411","title":"Performance-cost trade-off of joint beamforming and user clustering in cloud radio access networks","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; University of Toronto","keywords":"Computer science; Cluster analysis; Telecommunications link; Beamforming; Radio access network; Overhead (engineering); Computer network; Remote radio head; Cloud computing; Channel state information; Distributed computing; Throughput; Channel (broadcasting); Real-time computing; Wireless; Base station; Transmitter; Telecommunications; Mobile station","score_opus":0.025902481136075316,"score_gpt":0.2561602162827517,"score_spread":0.23025773514667638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784739917","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":[0.09727324,0.0012476551,0.8937997,0.000016389771,0.0019607684,0.0011007392,0.000012018454,0.00023043806,0.004359029],"genre_scores_gemma":[0.98719937,0.0033896677,0.00878146,0.0000058424152,0.00029328984,0.0000910674,0.000042642383,0.00009223366,0.00010444019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985046,0.000018232833,0.0006817059,0.00033389023,0.00011931985,0.0003422616],"domain_scores_gemma":[0.99901855,0.000029524379,0.00024631093,0.0006042159,0.000025641977,0.00007578528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027931886,0.00035357405,0.00064173335,0.00023009915,0.00006474741,0.00012048398,0.00039086517,0.00038306086,0.000012667441],"category_scores_gemma":[0.000021406942,0.00036804925,0.00006445687,0.0000717014,0.000043736723,0.00058672176,0.00057547743,0.00060868,7.4670623e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008735405,0.0000057609454,0.003479792,0.0010381888,0.000029470662,0.0000021935807,0.00025519344,0.98291516,0.000054374246,0.0000075737385,0.00007711522,0.012126462],"study_design_scores_gemma":[0.00042007698,0.000009273066,0.0036748035,0.0012603826,0.000017757058,0.000012540052,0.000036717145,0.99330795,0.000554733,0.000010070583,0.00032454447,0.00037113752],"about_ca_topic_score_codex":0.00007851479,"about_ca_topic_score_gemma":0.00019803531,"teacher_disagreement_score":0.88992614,"about_ca_system_score_codex":0.0001829296,"about_ca_system_score_gemma":0.000023025766,"threshold_uncertainty_score":0.99987715},"labels":[],"label_agreement":null},{"id":"W2785505140","doi":"10.1109/vtcfall.2017.8288051","title":"Delay-Tolerant Resource Allocation for D2D Communication Using Matching Theory","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Resource allocation; Overhead (engineering); Telecommunications link; Base station; Channel state information; Interference (communication); Frame (networking); Channel allocation schemes; Cellular network; Computer network; Resource management (computing); Channel (broadcasting); Matching (statistics); Mathematical optimization; Distributed computing; Wireless; Telecommunications; Mathematics","score_opus":0.02395260754152947,"score_gpt":0.27466270488094474,"score_spread":0.2507100973394153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785505140","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":[0.016645936,0.00017224227,0.9751658,0.00004753672,0.00010221052,0.0003336347,0.0000028888269,0.00023628333,0.007293493],"genre_scores_gemma":[0.85981804,0.000014272489,0.13972913,0.000021449861,0.000049532937,0.000031477863,0.000024932464,0.00004007344,0.00027110893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994922,0.000028461287,0.000191412,0.00010177164,0.000053346917,0.0001327641],"domain_scores_gemma":[0.9990466,0.00008331504,0.00009121985,0.00069640594,0.000054430457,0.000027982125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034018006,0.00009420641,0.00010473131,0.00003950527,0.00044112085,0.00009869608,0.0002539081,0.00006144752,0.0000079905185],"category_scores_gemma":[0.0000372363,0.00009787059,0.00003065873,0.000021631226,0.000023361512,0.0004253334,0.000037861828,0.000064060805,0.000005618606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010360723,0.0000055716173,0.000025713498,0.000053182994,0.000018344015,1.5465757e-7,0.00056320557,0.9698447,0.0062346687,0.01633566,0.00008557324,0.0068228855],"study_design_scores_gemma":[0.00027851353,0.0000050124117,0.00004042386,0.00008181592,0.000015090288,0.000004998031,0.0003105758,0.9899308,0.0025014228,0.005441434,0.0012426364,0.00014725748],"about_ca_topic_score_codex":0.000032631182,"about_ca_topic_score_gemma":0.000028953353,"teacher_disagreement_score":0.8431721,"about_ca_system_score_codex":0.0000836588,"about_ca_system_score_gemma":0.0000066645375,"threshold_uncertainty_score":0.39910465},"labels":[],"label_agreement":null},{"id":"W2785599864","doi":"10.1109/pimrc.2017.8292164","title":"Evaluation of local transmission delay of MIMO-ZFBF multiplexing receivers under correlated interference","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Retransmission; Computer science; Beamforming; Transmitter; Multiplexing; Spatial multiplexing; Fading; Array gain; Transmission (telecommunications); Computer network; Channel state information; Electronic engineering; Channel (broadcasting); Topology (electrical circuits); Telecommunications; Antenna (radio); Antenna array; Wireless; Engineering; Electrical engineering","score_opus":0.03893186352218845,"score_gpt":0.2860428507352124,"score_spread":0.24711098721302396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785599864","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":[0.042407338,0.000103091894,0.95069975,0.0000074423424,0.00017018187,0.00021394332,0.0000031601633,0.00006900019,0.0063261054],"genre_scores_gemma":[0.99190813,0.000026947704,0.007932815,0.0000011841715,0.0000065126096,0.000004728579,0.000009496329,0.00001782448,0.00009233888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922496,0.0000439839,0.00029763603,0.00011306344,0.00022199527,0.000098361714],"domain_scores_gemma":[0.999206,0.00003725894,0.00013183293,0.0002730718,0.00031699587,0.000034812067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039245884,0.00009683369,0.00016485577,0.000066008244,0.000048619597,0.000008132536,0.00014750806,0.000095155636,0.00016219105],"category_scores_gemma":[0.00006467729,0.000092120186,0.00003637306,0.000052610634,0.0000593051,0.00027718447,0.000014427621,0.00007202344,0.00000793586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013360552,0.0000094874595,0.000059982438,0.00003824988,0.000029261691,1.6146518e-7,0.00022383314,0.9161001,0.042960856,0.000050534363,0.000023922294,0.04049026],"study_design_scores_gemma":[0.0006881148,0.000024217376,0.00041126247,0.00022361612,0.000043123615,0.0000013450286,0.00019447909,0.93284875,0.065352164,0.00011563424,0.0000092572145,0.000088023044],"about_ca_topic_score_codex":0.000062369916,"about_ca_topic_score_gemma":0.000024873336,"teacher_disagreement_score":0.9495008,"about_ca_system_score_codex":0.00010480536,"about_ca_system_score_gemma":0.000026779218,"threshold_uncertainty_score":0.37565523},"labels":[],"label_agreement":null},{"id":"W2785982919","doi":"10.1109/vtcfall.2017.8287952","title":"Adaptive CDI-CQI Feedback Bit Partitioning for Quantized MISO-SDMA in Downlink HetNets","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Space-division multiple access; Telecommunications link; Beamforming; Computer science; Base station; Femto-; Throughput; Cellular network; Computer network; Channel (broadcasting); Stochastic geometry; Mathematical optimization; Wireless; Mathematics; Telecommunications; Statistics","score_opus":0.031344719576758516,"score_gpt":0.2712962965982932,"score_spread":0.23995157702153466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785982919","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":[0.018331427,0.00021628509,0.96619046,0.00013466117,0.0005418542,0.00080700027,0.00002096549,0.000378389,0.013378967],"genre_scores_gemma":[0.9409419,0.00002719975,0.057880025,0.000018994668,0.00010670735,0.00014491615,0.000024171442,0.000045404195,0.0008106966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999116,0.000012965521,0.00029847288,0.0002082935,0.000073557756,0.0002907176],"domain_scores_gemma":[0.9993569,0.0000656446,0.00008593647,0.0003691307,0.000064858206,0.000057486992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001428183,0.00015846253,0.00023247457,0.00008037459,0.00016320431,0.00008721982,0.0001705488,0.000102546706,0.00004940532],"category_scores_gemma":[0.0001156352,0.00016332426,0.000054394175,0.00005940325,0.000028827777,0.0004615706,0.000027577511,0.00009359761,0.00006379013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070623966,0.00003041188,0.0015244333,0.00012878164,0.00004003597,0.0000056593244,0.00034747247,0.98496145,0.0036573592,0.004078566,0.0010899652,0.004065244],"study_design_scores_gemma":[0.0025397558,0.00005542385,0.0022970878,0.00016772325,0.000013458873,0.000004117184,0.0002293776,0.9840346,0.0070122173,0.0011032625,0.0021321694,0.00041080054],"about_ca_topic_score_codex":0.00006498628,"about_ca_topic_score_gemma":0.0005322843,"teacher_disagreement_score":0.92261046,"about_ca_system_score_codex":0.00008775362,"about_ca_system_score_gemma":0.000012039015,"threshold_uncertainty_score":0.666017},"labels":[],"label_agreement":null},{"id":"W2786252103","doi":"10.1109/vtcfall.2017.8288072","title":"Impact of LOS/NLOS Propagation on the Coverage Performance of Multi-Stream MIMO-ZFBF Cellular Downlink","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Non-line-of-sight propagation; Computer science; MIMO; Path loss; Coverage probability; Base station; Beamforming; Multiplexing; Spectral efficiency; Transmitter; Telecommunications link; Topology (electrical circuits); Algorithm; Channel (broadcasting); Computer network; Telecommunications; Mathematics; Statistics; Wireless","score_opus":0.016674161076636346,"score_gpt":0.25094497709127284,"score_spread":0.23427081601463648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786252103","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":[0.8788671,0.000036211593,0.11530509,0.00000894379,0.0001051908,0.00043434315,0.00002671466,0.00006193827,0.0051544625],"genre_scores_gemma":[0.9982204,0.000047675836,0.0013471015,0.000002155214,0.000033570046,0.000013264286,0.000013618792,0.000023338107,0.00029886386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993705,0.000015302334,0.0002617768,0.00010458971,0.00011761178,0.00013020105],"domain_scores_gemma":[0.99906284,0.000034398952,0.00018913041,0.000595869,0.00009064905,0.000027115848],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011688404,0.00013183804,0.00017137115,0.000046525416,0.00008320857,0.00001824157,0.00021004304,0.00006351134,0.000057402594],"category_scores_gemma":[0.00006455853,0.00008536976,0.00007115301,0.000049712602,0.000044535667,0.0002654867,0.000022383081,0.00008964367,0.000016548098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022588523,0.00005135267,0.008084295,0.00015790612,0.00004561231,5.500789e-7,0.00013209875,0.8973706,0.09171485,0.00015942531,0.00007718568,0.002183526],"study_design_scores_gemma":[0.00041285032,0.00013192013,0.010857811,0.00011341518,0.000009906978,8.581773e-7,0.000012273558,0.7175115,0.27081892,0.000008464608,0.000012505714,0.000109590284],"about_ca_topic_score_codex":0.000046539877,"about_ca_topic_score_gemma":0.0000077455525,"teacher_disagreement_score":0.17985913,"about_ca_system_score_codex":0.0000640601,"about_ca_system_score_gemma":0.000015928956,"threshold_uncertainty_score":0.34812775},"labels":[],"label_agreement":null},{"id":"W2786346718","doi":"10.1109/pimrc.2017.8292387","title":"Spectral efficiency maximization of single cell massive multiuser MIMO systems via optimal power control with ZF receiver","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Spectral efficiency; Base station; Computer science; Power control; Fading; Telecommunications link; MIMO; Maximization; Signal-to-noise ratio (imaging); Electronic engineering; Power (physics); Efficient energy use; Channel (broadcasting); Mathematics; Telecommunications; Mathematical optimization; Engineering; Electrical engineering","score_opus":0.005803933201642042,"score_gpt":0.19157706577602893,"score_spread":0.18577313257438688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786346718","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":[0.044692855,0.000116099196,0.93799067,0.000012000089,0.00046722108,0.0006371224,0.000014663859,0.00020418885,0.015865207],"genre_scores_gemma":[0.97949713,0.000006680632,0.019401977,0.0000039515944,0.000050171275,0.000014994955,0.000008629223,0.00006390822,0.00095255073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998928,0.000024598097,0.00034024884,0.00023778921,0.00018333347,0.00028602383],"domain_scores_gemma":[0.99892074,0.00003388491,0.00024663776,0.00052727497,0.0001972359,0.00007421232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008597777,0.0002216205,0.00031346022,0.00009104911,0.000119966346,0.000080063,0.00022921628,0.000110720735,0.0000648861],"category_scores_gemma":[0.00002819047,0.00018845702,0.000045586494,0.00007921351,0.000070207134,0.00048623537,0.000018185236,0.0000909093,0.00002617897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004116285,0.000053874854,0.00066576037,0.0000813506,0.000030428804,0.000006434732,0.00023388948,0.96402067,0.034681365,0.00007470891,0.000074088384,0.000036260633],"study_design_scores_gemma":[0.0021955394,0.00020312214,0.0005192792,0.000096813754,0.000039030383,0.0000103577295,0.0002386281,0.958033,0.038250975,0.000003444659,0.00007578229,0.00033402542],"about_ca_topic_score_codex":0.00006209493,"about_ca_topic_score_gemma":0.000014237814,"teacher_disagreement_score":0.93480426,"about_ca_system_score_codex":0.00011175726,"about_ca_system_score_gemma":0.000014547263,"threshold_uncertainty_score":0.76850545},"labels":[],"label_agreement":null},{"id":"W2786480654","doi":"10.1109/vtcfall.2017.8288018","title":"Spectral Efficiency Maximization for Massive Multiuser MIMO Downlink TDD Systems via Data Power Allocation with MRT Precoding","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Precoding; Spectral efficiency; Telecommunications link; MIMO; Maximization; Base station; Computer science; Transmission (telecommunications); Transmitter power output; Duplex (building); Mathematical optimization; Electronic engineering; Mathematics; Computer network; Telecommunications; Engineering; Transmitter; Beamforming","score_opus":0.02264973065686131,"score_gpt":0.2553905950752121,"score_spread":0.2327408644183508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786480654","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":[0.0026173852,0.00009465654,0.99125814,0.0000593953,0.00088558934,0.0014552743,0.000054252632,0.00040472124,0.003170562],"genre_scores_gemma":[0.92608327,0.000020933092,0.07256539,0.0000064658043,0.00016596206,0.00011311305,0.00036407312,0.000078299105,0.0006024945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873936,0.000016172788,0.00034511165,0.00042194113,0.00015839274,0.0003189969],"domain_scores_gemma":[0.99819005,0.000049826507,0.00020304395,0.0013011473,0.00018248319,0.00007347232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021131488,0.00023071226,0.00023081504,0.00009190885,0.0003033076,0.00024662437,0.0005650936,0.00011482604,0.000021136964],"category_scores_gemma":[0.00010948642,0.00020136546,0.000026066675,0.00007967239,0.000034615197,0.0013350375,0.00006841023,0.00008889911,0.0000225303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023177667,0.000021999957,0.00048922526,0.0001493562,0.000045199,0.000001271497,0.0001573194,0.99520105,0.0024362775,0.0005469922,0.00038192212,0.0005462052],"study_design_scores_gemma":[0.00081381516,0.00005187468,0.00034171063,0.0001105972,0.000032208503,0.000008565655,0.00012178873,0.9957005,0.0019895888,0.000016827957,0.00050997786,0.00030259488],"about_ca_topic_score_codex":0.00005493942,"about_ca_topic_score_gemma":0.000090804766,"teacher_disagreement_score":0.9234659,"about_ca_system_score_codex":0.00014178082,"about_ca_system_score_gemma":0.00002369695,"threshold_uncertainty_score":0.8211445},"labels":[],"label_agreement":null},{"id":"W2786503699","doi":"10.1109/pimrc.2017.8292274","title":"Analysis of the cell association for decoupled wireless access in a two tier network","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Telecommunications link; Computer network; Computer science; Base station; Wireless network; Wireless; Terminal (telecommunication); Channel (broadcasting); Access network; Cellular network; Telecommunications","score_opus":0.011434056613258366,"score_gpt":0.28513420047108473,"score_spread":0.2737001438578264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786503699","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":[0.29361546,0.000056307854,0.69408494,0.000039907707,0.0004909331,0.000542299,0.000011460904,0.00005949898,0.011099203],"genre_scores_gemma":[0.9975738,0.000009694894,0.0012426693,0.0000068879403,0.000041978685,0.000036014837,0.000006127229,0.000012292318,0.0010705147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999539,0.00001082399,0.00018548625,0.00007602654,0.00006465817,0.00012401142],"domain_scores_gemma":[0.99939924,0.000074846605,0.00016813705,0.00028927307,0.00005694071,0.000011555279],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019323155,0.000057746147,0.00017531011,0.000054930464,0.000051022547,0.00004291816,0.000245917,0.00003821489,0.000008815565],"category_scores_gemma":[0.000049179936,0.00004628252,0.000071370014,0.00024762153,0.000004957014,0.00020172051,0.000034128298,0.000037149443,5.714886e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017319737,0.0000036407132,0.18529755,0.00001417084,0.00006939336,2.2556458e-8,0.000036804013,0.8140401,0.00013846817,0.00005920565,0.00017360189,0.00016528915],"study_design_scores_gemma":[0.00031717916,0.0000013354661,0.03738786,0.000011607332,0.00010666629,9.427462e-9,0.000007831083,0.9607411,0.0012396728,0.0000664153,0.00006333576,0.000057012894],"about_ca_topic_score_codex":0.00011657947,"about_ca_topic_score_gemma":0.0043709283,"teacher_disagreement_score":0.7039584,"about_ca_system_score_codex":0.00011422524,"about_ca_system_score_gemma":0.0000063876214,"threshold_uncertainty_score":0.24390805},"labels":[],"label_agreement":null},{"id":"W2786575954","doi":"10.1109/vtcfall.2017.8288179","title":"Effective Capacity of Multi-Stream MIMO-ZFBF Communications in Large Wireless Networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Computer science; Wireless; Computer network; Multi-user MIMO; Wireless network; Telecommunications; Channel (broadcasting)","score_opus":0.022483573071780595,"score_gpt":0.2758101155471184,"score_spread":0.25332654247533776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786575954","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":[0.0867079,0.00018314624,0.90685165,0.000014059782,0.00016217833,0.00049565634,0.000018540419,0.00013738559,0.005429456],"genre_scores_gemma":[0.9849121,0.00009254712,0.014818589,0.0000034535776,0.000016277974,0.00006353994,0.0000126877785,0.000021146934,0.00005963582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994613,0.000038969592,0.00020384739,0.00009615559,0.000040093135,0.00015963864],"domain_scores_gemma":[0.99874955,0.000080968595,0.00008074631,0.001005627,0.000051892956,0.000031195617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014697586,0.000098988035,0.00018948042,0.00004929449,0.00010223212,0.000016740592,0.0003630478,0.000089063644,0.000006579058],"category_scores_gemma":[0.000053014493,0.00010227518,0.00003075329,0.00006296483,0.00006103757,0.00023196702,0.00009347433,0.0001539023,0.000005013993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006140494,0.00015479361,0.061962273,0.00009910413,0.00004582918,0.0000010993483,0.0006947375,0.9264878,0.0021833638,0.002608397,0.00006394887,0.005692532],"study_design_scores_gemma":[0.00064167526,0.000007287206,0.02572219,0.000076094606,0.00000486288,6.9584104e-7,0.00006961531,0.971455,0.0018382345,0.00001905114,0.00005884195,0.00010645887],"about_ca_topic_score_codex":0.00027645484,"about_ca_topic_score_gemma":0.003678428,"teacher_disagreement_score":0.8982042,"about_ca_system_score_codex":0.000066195316,"about_ca_system_score_gemma":0.00000367104,"threshold_uncertainty_score":0.41706607},"labels":[],"label_agreement":null},{"id":"W2786666506","doi":"10.1109/pimrc.2017.8292419","title":"Downlink coverage and average cell load of M2M and H2H in ultra-dense networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Stochastic geometry; Computer science; Base station; Computer network; Cellular network; Path loss; Coverage probability; Interference (communication); Telecommunications; Mathematics; Wireless; Statistics","score_opus":0.004963487117461098,"score_gpt":0.19779489588050644,"score_spread":0.19283140876304536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786666506","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":[0.33076796,0.0017510954,0.6188563,0.000018200251,0.00025037304,0.0003501687,0.000009362311,0.0001073924,0.04788915],"genre_scores_gemma":[0.9969693,0.0008742982,0.0017203477,0.000008478938,0.000026738015,0.0000034088769,0.0000024074045,0.000015981808,0.00037908336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954504,0.00000847011,0.00016448942,0.0001144998,0.000046269688,0.00012125074],"domain_scores_gemma":[0.9996315,0.0000372264,0.00004793564,0.00022400895,0.00002005313,0.00003922207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008879922,0.0000938342,0.00015408098,0.000030163288,0.000038245307,0.000034323613,0.000058656544,0.00007471941,0.000013367903],"category_scores_gemma":[0.000022670285,0.00009266605,0.000010815395,0.000024598365,0.000029217043,0.0002089501,0.00002025496,0.000083217856,0.0000016142152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010225145,0.000009314994,0.006049242,0.00012923992,0.000007587618,0.000009839104,0.0002689105,0.9855652,0.0050174007,0.000098319004,0.00010522955,0.0027295172],"study_design_scores_gemma":[0.0023575763,0.00004582114,0.013188225,0.00014703705,0.0000142880635,0.000016179321,0.00006197935,0.96971834,0.013391467,0.00021592379,0.0004410852,0.00040208385],"about_ca_topic_score_codex":0.00006926586,"about_ca_topic_score_gemma":0.000109048364,"teacher_disagreement_score":0.6662013,"about_ca_system_score_codex":0.000021450742,"about_ca_system_score_gemma":0.000004426237,"threshold_uncertainty_score":0.37788117},"labels":[],"label_agreement":null},{"id":"W2786668272","doi":"10.1109/pimrc.2017.8292618","title":"Unified stochastic geometry analysis of downlink cellular networks","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; University of Toronto","funders":"","keywords":"Rician fading; Stochastic geometry; Fading; Nakagami distribution; Moment-generating function; Computer science; Cumulative distribution function; Rayleigh fading; Signal-to-interference-plus-noise ratio; Fading distribution; Telecommunications link; Weibull fading; Interference (communication); Algorithm; Signal-to-noise ratio (imaging); Topology (electrical circuits); Mathematics; Telecommunications; Probability density function; Statistics; Channel (broadcasting); Physics","score_opus":0.009608151393132256,"score_gpt":0.22374157061724367,"score_spread":0.21413341922411142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786668272","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":[0.009970729,0.00014728431,0.9849685,0.0000056864433,0.00020653525,0.00008555033,0.000004558475,0.00012153676,0.0044896565],"genre_scores_gemma":[0.99531144,0.000011651146,0.0042525134,0.0000022398951,0.00004491157,0.0000042161196,0.000028096563,0.000017248862,0.0003276932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994592,0.000006427155,0.00021649634,0.000108406835,0.00007168756,0.00013780377],"domain_scores_gemma":[0.9991923,0.00003319342,0.00008876152,0.0005916549,0.00005124972,0.00004282374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008788723,0.000093709285,0.00025190713,0.0002275979,0.00007488594,0.000026488391,0.00019548749,0.000075573225,0.00009704435],"category_scores_gemma":[0.00004058885,0.0000913381,0.00007727233,0.0003092732,0.00002606205,0.00013217742,0.000030089632,0.000067100365,0.000006721466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015864582,0.000004062038,0.0002606345,0.0000119431825,0.0003053057,7.594427e-7,0.000014649441,0.9973186,0.0007952355,0.0007452885,0.000028054337,0.0005138746],"study_design_scores_gemma":[0.000115527255,0.0000050265903,0.0013772259,0.000008720778,0.00024300991,1.4877169e-7,0.000022292565,0.9974862,0.00060799567,0.000022087634,0.000013561635,0.0000982155],"about_ca_topic_score_codex":0.000032259137,"about_ca_topic_score_gemma":0.00003176241,"teacher_disagreement_score":0.9853407,"about_ca_system_score_codex":0.000025764717,"about_ca_system_score_gemma":0.0000031384802,"threshold_uncertainty_score":0.37246597},"labels":[],"label_agreement":null},{"id":"W2786712690","doi":"10.1109/pimrc.2017.8292174","title":"Uplink HARQ CoMP with ZF receivers in limited backhaul","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hybrid automatic repeat request; Backhaul (telecommunications); Telecommunications link; MIMO; Computer science; Computer network; Redundancy (engineering); Outage probability; Automatic repeat request; Base station; Fading","score_opus":0.011924599252783958,"score_gpt":0.21712238384701085,"score_spread":0.20519778459422688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786712690","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":[0.08344557,0.000074769225,0.75656635,0.0001993902,0.00045555006,0.00047992708,0.0000037057405,0.0006795175,0.15809524],"genre_scores_gemma":[0.970275,0.00003153481,0.028430656,0.000015471005,0.000027373551,0.000009758275,0.000008215689,0.00002923116,0.0011727767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995706,0.0000050144517,0.00011506752,0.00011512976,0.00004925332,0.00014490384],"domain_scores_gemma":[0.9995393,0.00001350434,0.00002771015,0.00035317446,0.000027957774,0.00003834268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004471583,0.000094767594,0.00011983523,0.000057970366,0.00006013569,0.000044082823,0.00014434896,0.000050589188,0.000059893853],"category_scores_gemma":[0.00001804656,0.00008466532,0.000011539796,0.000056608416,0.000022725115,0.00030750487,0.000017246388,0.00008652864,0.00007447718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013563539,0.0000085705915,0.008546625,0.000032861404,0.000014928462,0.000012790991,0.0001300225,0.9878246,0.0005390658,0.00029971247,0.0007746668,0.001802599],"study_design_scores_gemma":[0.0016703401,0.00003910871,0.017878199,0.00016528409,0.000007763783,0.00001133749,0.00015925942,0.97498196,0.002383965,0.000046662204,0.002274009,0.00038211295],"about_ca_topic_score_codex":0.00006219171,"about_ca_topic_score_gemma":0.00039089535,"teacher_disagreement_score":0.88682944,"about_ca_system_score_codex":0.00006239673,"about_ca_system_score_gemma":0.000005664097,"threshold_uncertainty_score":0.34525517},"labels":[],"label_agreement":null},{"id":"W2786722981","doi":"10.1109/vtcfall.2017.8288227","title":"Fuzzy-Based Joint User Association and Resource Allocation in HetNets","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Computer network; Base station; Bandwidth (computing); Bandwidth allocation; Heterogeneous network; User equipment; Fuzzy logic; Macro; Dynamic bandwidth allocation; Resource allocation; Signal-to-interference-plus-noise ratio; Real-time computing; Wireless; Wireless network; Telecommunications","score_opus":0.011810552677951168,"score_gpt":0.22277450111791497,"score_spread":0.2109639484399638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786722981","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":[0.32588276,0.00024138743,0.55641204,0.0016097864,0.0004958368,0.00093958585,0.000006539457,0.00078954484,0.11362251],"genre_scores_gemma":[0.99410385,0.000008790483,0.0050765616,0.000031370397,0.000030080726,0.000015233294,0.000009201812,0.000016384412,0.00070851506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995833,0.0000135269,0.00013730455,0.000093936964,0.000067152316,0.00010476992],"domain_scores_gemma":[0.9996723,0.000020768019,0.00006256191,0.0001955997,0.00002443952,0.000024332412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017139385,0.00006460155,0.000084745225,0.000054466866,0.0000587502,0.00005784286,0.00004686663,0.00006925501,0.000005714846],"category_scores_gemma":[0.00011555248,0.00006906429,0.000009759504,0.000028926568,0.0000061557657,0.00022074017,0.000011233853,0.000056523793,0.000010724846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042544025,0.000011535987,0.029156758,0.000057026144,0.000009458165,0.000001343908,0.00016311329,0.9604458,0.004956687,0.00078171276,0.0013690318,0.003043256],"study_design_scores_gemma":[0.0016408276,0.000022252916,0.16144945,0.00012863308,0.000010580112,0.0000013030192,0.0000933693,0.81659126,0.0131358765,0.00039257796,0.006149129,0.00038472383],"about_ca_topic_score_codex":0.0000442643,"about_ca_topic_score_gemma":0.00023589745,"teacher_disagreement_score":0.6682211,"about_ca_system_score_codex":0.0001690534,"about_ca_system_score_gemma":0.0000050761987,"threshold_uncertainty_score":0.28163603},"labels":[],"label_agreement":null},{"id":"W2786749615","doi":"10.1109/pimrc.2017.8292425","title":"Joint subchannel allocation and hybrid precoding design for mmWave multi-user OFDMA systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Precoding; Computer science; Joint (building); Orthogonal frequency-division multiplexing; Computer network; MIMO; Engineering; Channel (broadcasting)","score_opus":0.06185768303340159,"score_gpt":0.2570873354277551,"score_spread":0.1952296523943535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786749615","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":[0.0036364754,0.00029575042,0.99386144,0.000038148613,0.0006331168,0.0010742792,0.000009677574,0.0002531624,0.00019792511],"genre_scores_gemma":[0.91918355,0.0001131052,0.078765154,0.0000045455427,0.00011833636,0.00032405613,0.000009004193,0.000052082363,0.0014301476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933577,0.000014552687,0.00023172345,0.000182219,0.000053196556,0.00018252699],"domain_scores_gemma":[0.999432,0.00004487844,0.00009176843,0.00028534257,0.00008928489,0.000056671684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022556937,0.00013638695,0.00017466243,0.00005564572,0.00019862395,0.00015859307,0.000092784125,0.000053437037,0.0000030949116],"category_scores_gemma":[0.000099322766,0.00013372894,0.00002479001,0.000015396647,0.000015588863,0.0004494607,0.000022895818,0.000042630858,0.000005912273],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007064386,0.00000930657,0.00009790281,0.00034220028,0.000038948576,7.442846e-7,0.00015370491,0.9805294,0.015414977,0.0013552469,0.0005200224,0.0015304731],"study_design_scores_gemma":[0.00041297995,0.000016899212,0.0001168343,0.000102158345,0.00001449676,0.0000067419173,0.00008415527,0.96358514,0.035259064,0.000051982257,0.00017773661,0.00017180057],"about_ca_topic_score_codex":0.000037192895,"about_ca_topic_score_gemma":0.000013668761,"teacher_disagreement_score":0.9155471,"about_ca_system_score_codex":0.0000622656,"about_ca_system_score_gemma":0.0000065660606,"threshold_uncertainty_score":0.5453308},"labels":[],"label_agreement":null},{"id":"W2786965003","doi":"10.1109/vtcfall.2017.8288049","title":"Energy Efficient Multiple Association in CoMP Based 5G Cloud-RAN Systems","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Baseband; Radio access network; Computer network; Cloud computing; Power control; Cellular network; Interference (communication); Provisioning; C-RAN; Efficient energy use; Distributed computing; Channel (broadcasting); Base station; Power (physics); Mobile station; Bandwidth (computing); Engineering","score_opus":0.008586952728933521,"score_gpt":0.2070045142251752,"score_spread":0.19841756149624168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786965003","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":[0.028770791,0.00010053332,0.95449126,0.000043415697,0.0018894603,0.00025617788,0.000012274674,0.00038862252,0.01404747],"genre_scores_gemma":[0.99824244,0.0000047724466,0.0011052074,0.000011058218,0.000109212924,0.00003971047,0.00002094956,0.000029230045,0.00043741695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992295,0.00003076656,0.00025695702,0.00013765595,0.00013529588,0.00020986075],"domain_scores_gemma":[0.999354,0.00009844946,0.00010972689,0.00034391374,0.00005157329,0.00004233489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019682494,0.00011376616,0.00017859013,0.00008050617,0.00009858606,0.00008812567,0.00014816482,0.000101426085,0.0000081509],"category_scores_gemma":[0.00012333863,0.00011847605,0.000029630915,0.000059316983,0.0000071515165,0.000102824895,0.000012241412,0.0000652401,0.000022796094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025863096,0.000015752137,0.005090259,0.000031709784,0.000007087773,0.0000015315926,0.000038973074,0.9924832,0.001336748,0.0005733533,0.0002477206,0.00017106804],"study_design_scores_gemma":[0.00058419,0.0000055948576,0.001149445,0.000046234454,0.000002992807,3.47011e-7,0.000042820167,0.99470574,0.0023000776,0.000004783556,0.0010207762,0.00013701552],"about_ca_topic_score_codex":0.0005994102,"about_ca_topic_score_gemma":0.00048564968,"teacher_disagreement_score":0.96947163,"about_ca_system_score_codex":0.00046910957,"about_ca_system_score_gemma":0.000008870841,"threshold_uncertainty_score":0.48313132},"labels":[],"label_agreement":null},{"id":"W2787090967","doi":"10.1109/pimrc.2017.8292249","title":"A study on channel estimation algorithm with sounding reference signal for TDD downlink scheduling","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Institute for Information and Communications Technology Promotion; Ministry of Science, ICT and Future Planning","keywords":"Telecommunications link; Computer science; Scheduling (production processes); Real-time computing; Base station; Orthogonal frequency-division multiplexing; Power control; Duplex (building); Control channel; Algorithm; Electronic engineering; Channel (broadcasting); Computer network; Engineering; Mathematical optimization; Power (physics); Mathematics","score_opus":0.043011623853427106,"score_gpt":0.29615182434150245,"score_spread":0.25314020048807534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787090967","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":[0.014623015,0.000009022924,0.98232347,0.000013982466,0.00015145546,0.00083048927,0.0000067681544,0.00029698224,0.0017448174],"genre_scores_gemma":[0.74021,0.0000011768852,0.25943664,0.000004129936,0.00008004674,0.000109497785,0.000012978344,0.00003145262,0.000114123475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992963,0.000008166722,0.0001736094,0.00020703877,0.000118796626,0.00019605384],"domain_scores_gemma":[0.99941534,0.000049201153,0.0000861695,0.00032398084,0.000079120175,0.00004619229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015867432,0.00015510838,0.00016030196,0.000074138756,0.00030404894,0.00014480622,0.00015299715,0.000052770414,0.000005630783],"category_scores_gemma":[0.000044257114,0.00013155505,0.00001740843,0.000041628864,0.000013849413,0.00041787754,0.000017840537,0.000096822594,0.000018624734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013183746,0.000028703482,0.000091298796,0.000027364616,0.000029543105,0.0000019968998,0.00026732785,0.99112225,0.00012842004,0.00024769272,0.0000068437125,0.008035399],"study_design_scores_gemma":[0.0008510733,0.0002516036,0.00024107839,0.00009808727,0.000017414832,0.0000031630511,0.0004938333,0.9964856,0.0011582308,0.00019902381,0.000008949681,0.00019195685],"about_ca_topic_score_codex":0.000011306738,"about_ca_topic_score_gemma":0.000018924442,"teacher_disagreement_score":0.72558695,"about_ca_system_score_codex":0.00007939307,"about_ca_system_score_gemma":0.000010623553,"threshold_uncertainty_score":0.5364659},"labels":[],"label_agreement":null},{"id":"W2787186896","doi":"10.1109/pimrc.2017.8292714","title":"Spectrum sharing opportunities in land mobile radio bands: A data-driven approach","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Computer science; Radio spectrum; Channel (broadcasting); Computer network; Data sharing; Mobile radio; Mobile telephony; Telecommunications","score_opus":0.07119630623476615,"score_gpt":0.2667677444157387,"score_spread":0.19557143818097256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787186896","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":[0.058268774,0.0005921057,0.6991254,0.000053828506,0.00056170166,0.0008981354,0.000076799304,0.00085025287,0.23957299],"genre_scores_gemma":[0.98744315,0.00016198675,0.010707714,0.000004491471,0.000109658984,0.000050377468,0.00012863749,0.00003659109,0.0013573796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993516,0.000005887995,0.00017652934,0.00021053111,0.00006399634,0.00019145812],"domain_scores_gemma":[0.9988706,0.000010339802,0.000039322604,0.0010257537,0.000007632451,0.000046350677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011920372,0.00011272916,0.0001685832,0.000076922,0.000078265366,0.00011988397,0.00053640606,0.000050299415,0.00004481504],"category_scores_gemma":[0.000015667072,0.000110476685,0.00001315408,0.000029551082,0.000022332048,0.00077393616,0.00017378948,0.000093838076,0.0000106916705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030299466,0.00001432447,0.012956167,0.00009059672,0.00001891979,0.000014025081,0.00023731464,0.98477983,0.000040118986,0.0005853816,0.00042593302,0.00083437975],"study_design_scores_gemma":[0.0003553664,0.00000700946,0.00092843355,0.000032077725,0.0000044168937,0.000009981894,0.00022234122,0.9970446,0.00007379348,0.00006621485,0.0010943514,0.00016136335],"about_ca_topic_score_codex":0.00010531517,"about_ca_topic_score_gemma":0.0002892476,"teacher_disagreement_score":0.92917436,"about_ca_system_score_codex":0.000051403207,"about_ca_system_score_gemma":0.00000884875,"threshold_uncertainty_score":0.45051086},"labels":[],"label_agreement":null},{"id":"W2787301009","doi":"10.1109/vtcfall.2017.8288242","title":"Cognitive Co-Existence of Unlicensed Wireless Networks through Beamforming","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer network; Computer science; Spectrum management; Cognitive radio; Beamforming; Wireless; Quality of service; Wireless network; Bandwidth (computing); Telecommunications","score_opus":0.022598956325442315,"score_gpt":0.28268527203041605,"score_spread":0.26008631570497376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787301009","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":[0.02737635,0.00007238233,0.91100353,0.0000048219517,0.00020404825,0.00018408768,0.0000061954843,0.00015465908,0.0609939],"genre_scores_gemma":[0.98878,0.00008425738,0.010762683,0.000013209871,0.00006564839,0.0000120444265,0.000011430516,0.000027788845,0.00024290105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941874,0.000006820592,0.00020824638,0.00011517996,0.00007485961,0.00017616153],"domain_scores_gemma":[0.9994392,0.000057548023,0.00011239832,0.0002783238,0.00008297499,0.0000295617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006094761,0.00011109268,0.00018443012,0.00001907067,0.00012781886,0.000027059012,0.00015889361,0.000071837014,0.000022318492],"category_scores_gemma":[0.000037605147,0.00010992628,0.00003275344,0.000040092047,0.000073518364,0.00047794354,0.000025373289,0.00008166803,0.000009856585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031126456,0.000028032508,0.002592861,0.00022805162,0.000112762704,0.000008613116,0.0015130066,0.97285455,0.0035728056,0.0045905714,0.000203287,0.014264326],"study_design_scores_gemma":[0.000811919,0.00003263445,0.0007150986,0.00037359417,0.000024848043,0.000008645231,0.0006447169,0.9600256,0.036627643,0.00014120244,0.0002662393,0.0003278427],"about_ca_topic_score_codex":0.000046591224,"about_ca_topic_score_gemma":0.000023909522,"teacher_disagreement_score":0.96140367,"about_ca_system_score_codex":0.000026292131,"about_ca_system_score_gemma":0.0000065224804,"threshold_uncertainty_score":0.44826636},"labels":[],"label_agreement":null},{"id":"W2787503174","doi":"10.48550/arxiv.1802.01807","title":"Channel Diagonalization for Cloud Radio Access","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; MIMO; Computer science; Baseband; Multi-user MIMO; Channel (broadcasting); Singular value decomposition; Computer network; Precoding; Electronic engineering; Algorithm; Bandwidth (computing); Engineering","score_opus":0.06708918218169904,"score_gpt":0.2036750819404387,"score_spread":0.13658589975873967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787503174","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":[0.01081656,0.00010468052,0.9838838,0.0000074598192,0.0025103793,0.0008244681,0.00009807946,0.000609305,0.0011452748],"genre_scores_gemma":[0.9967996,0.00034013516,0.0007405506,0.000015129395,0.0007655064,0.000011171945,0.00032572317,0.000098768716,0.0009034497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988883,0.000031516545,0.00020699906,0.00054595724,0.000038649556,0.00028855779],"domain_scores_gemma":[0.9989662,0.000054276697,0.00014217789,0.00052128884,0.00021606439,0.00010000084],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011091212,0.000304752,0.0003060876,0.00021453727,0.000097781885,0.00006531191,0.00055871153,0.0003535618,0.000032042284],"category_scores_gemma":[0.000040473344,0.00040251465,0.00013776275,0.00030264474,0.00005189774,0.00035965772,0.00027271832,0.00019035788,0.000031385567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021413862,0.000012718934,0.00015226928,0.0003613373,0.000081818245,0.0000064806013,0.00008567595,0.99401176,0.000009624472,0.0029223445,0.00228397,0.00005057083],"study_design_scores_gemma":[0.00045204844,0.000018549106,0.000045846926,0.00013515711,0.00008696712,0.0000013135426,0.000022266993,0.98472667,0.00032034982,0.012655008,0.0010984481,0.00043735254],"about_ca_topic_score_codex":0.000016486816,"about_ca_topic_score_gemma":0.000019713074,"teacher_disagreement_score":0.985983,"about_ca_system_score_codex":0.00034862026,"about_ca_system_score_gemma":0.000043371052,"threshold_uncertainty_score":0.99984264},"labels":[],"label_agreement":null},{"id":"W2787867983","doi":"10.1109/vtcfall.2017.8288192","title":"Eliminating Pilot Contamination Using Dual Pilot Sequences in Massive MIMO","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Telecommunications link; Computer science; Dual (grammatical number); Transmission (telecommunications); Pilot signal; Interference (communication); Channel (broadcasting); Set (abstract data type); Computer network; Telecommunications","score_opus":0.04174894032255382,"score_gpt":0.2835352632052402,"score_spread":0.24178632288268637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787867983","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":[0.3736894,0.00009248811,0.60444194,0.000057425696,0.000874635,0.00043136306,0.000004839129,0.000283917,0.020123966],"genre_scores_gemma":[0.9784513,0.000012525231,0.02117974,0.000008584156,0.00008376682,0.000018204419,0.000005688732,0.00002936901,0.0002108337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992186,0.000022820415,0.0002668944,0.00016625231,0.000109658955,0.00021577814],"domain_scores_gemma":[0.999492,0.00004982768,0.000116732444,0.00023771069,0.00006807185,0.000035666588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017446464,0.00013592695,0.00015871011,0.00011585674,0.00017070779,0.00010308339,0.00013406044,0.0000409599,0.000026174695],"category_scores_gemma":[0.00017242666,0.00014274313,0.000014442834,0.00006665147,0.000039169397,0.0008283355,0.000035789373,0.000100436555,0.000012605296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011056463,0.000027342157,0.0032749705,0.00008850909,0.0000138157975,0.000026741269,0.00035566997,0.8994416,0.090819895,0.0024453662,0.000031634543,0.0034633935],"study_design_scores_gemma":[0.00072512386,0.00011640382,0.004853798,0.00017584811,0.000008173034,0.000011083249,0.00044816628,0.97758645,0.015487971,0.00028652305,0.000021420583,0.00027903405],"about_ca_topic_score_codex":0.00029991684,"about_ca_topic_score_gemma":0.0005554872,"teacher_disagreement_score":0.6047619,"about_ca_system_score_codex":0.00021210112,"about_ca_system_score_gemma":0.000015233312,"threshold_uncertainty_score":0.5820896},"labels":[],"label_agreement":null},{"id":"W2788350651","doi":"10.1109/tsp.2018.2812733","title":"Fractional Programming for Communication Systems—Part I: Power Control and Beamforming","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1808,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Mathematical optimization; Optimization problem; Quadratic programming; Convex optimization; Maximization; Computer science; Iterative method; Mathematics; Convergence (economics); Fractional programming; Regular polygon; Nonlinear programming","score_opus":0.012934412914709816,"score_gpt":0.24868979288348111,"score_spread":0.2357553799687713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788350651","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":[0.0011872787,0.0005045412,0.99663275,0.000028143948,0.00030840046,0.0006219601,0.000021477957,0.00037597836,0.00031949172],"genre_scores_gemma":[0.9777318,0.000014595702,0.021744873,0.00002815808,0.00012356078,0.0002146445,0.0000059900617,0.000055106233,0.00008123736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909484,0.000024685849,0.00032007557,0.00019389266,0.0001311034,0.00023542116],"domain_scores_gemma":[0.99936163,0.00012301798,0.00008665314,0.00013911213,0.00022075254,0.00006880097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020786103,0.00017182057,0.0001803178,0.00013797099,0.00055309554,0.00013226792,0.00007976763,0.00010493717,0.000012664461],"category_scores_gemma":[0.000004209034,0.00018291642,0.000040567422,0.00017372979,0.000081611484,0.00065316854,5.6933214e-7,0.0001701012,0.000007240044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010183784,0.000052120384,0.000006526617,0.00026050775,0.00006946444,3.5560922e-7,0.0006849422,0.9052906,0.0041557355,0.00008173074,0.0000646895,0.08923148],"study_design_scores_gemma":[0.00091145816,0.00013662945,0.0000035491069,0.00039911785,0.000055030127,0.00003116863,0.000538739,0.9883136,0.0038790246,0.00005518324,0.0054006698,0.0002758369],"about_ca_topic_score_codex":0.000004548155,"about_ca_topic_score_gemma":0.0000070374763,"teacher_disagreement_score":0.97654456,"about_ca_system_score_codex":0.00010519028,"about_ca_system_score_gemma":0.000026926537,"threshold_uncertainty_score":0.74591154},"labels":[],"label_agreement":null},{"id":"W2789577759","doi":"10.1109/tvt.2018.2810073","title":"Channel State Classification in Cognitive Small-Cell Networks With Multiple Transmission Powers","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Macrocell; Cognitive radio; Computer science; Transmission (telecommunications); Interference (communication); Base station; Channel (broadcasting); Performance metric; Metric (unit); A priori and a posteriori; Artificial intelligence; Engineering; Computer network; Wireless; Telecommunications","score_opus":0.010736227171919816,"score_gpt":0.21302049875766327,"score_spread":0.20228427158574344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789577759","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08100763,0.00011351511,0.91707844,0.00006339696,0.00019174346,0.00057717104,0.000009584552,0.0007704687,0.00018806617],"genre_scores_gemma":[0.99514675,0.00016930597,0.004290123,0.00001943735,0.00001640147,0.000208075,0.000010327027,0.000071013936,0.00006858891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892837,0.000030307123,0.00027231162,0.00033726185,0.00008820125,0.00034355427],"domain_scores_gemma":[0.9994838,0.00004410275,0.00005202798,0.00024914503,0.000114155104,0.000056773122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007737827,0.00023296807,0.00021262847,0.00056766765,0.000106977954,0.000011891396,0.00012638482,0.00032609355,0.000013685434],"category_scores_gemma":[0.0000027726783,0.00023046607,0.0000387304,0.00092434627,0.00014554281,0.00012288395,6.97881e-7,0.0004521721,0.000025401523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008956126,0.00009627131,0.000032082968,0.000023615023,0.000030435105,0.000011560839,0.00026185843,0.9717424,0.00928357,0.0000035802536,0.000003875477,0.018421184],"study_design_scores_gemma":[0.0014160143,0.00027931744,0.000053583037,0.00017272627,0.000026377398,0.000017635188,0.00040403687,0.8522345,0.14496732,0.000033735134,0.00012064619,0.00027410683],"about_ca_topic_score_codex":0.000013505267,"about_ca_topic_score_gemma":0.0002476455,"teacher_disagreement_score":0.9141391,"about_ca_system_score_codex":0.00013148868,"about_ca_system_score_gemma":0.000017824084,"threshold_uncertainty_score":0.9398134},"labels":[],"label_agreement":null},{"id":"W2789886422","doi":"10.1109/tvt.2018.2808237","title":"Low Complexity and Fast Processing Algorithms for V2I Massive MIMO Uplink Detection","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Telecommunications link; Computational complexity theory; Algorithm; Iterative method; Block (permutation group theory); Efficient energy use; Low latency (capital markets); Computer engineering; Real-time computing; Channel (broadcasting); Engineering; Telecommunications; Mathematics","score_opus":0.014450959765693825,"score_gpt":0.24310333667864428,"score_spread":0.22865237691295046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789886422","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018732138,0.00009740255,0.97880006,0.000116594805,0.00045049738,0.0005628706,0.000019883193,0.0011827517,0.000037779148],"genre_scores_gemma":[0.94814205,0.000026405769,0.051393162,0.000015688762,0.00006855999,0.00025619188,0.0000038741405,0.000058189955,0.000035900146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991053,0.000010710047,0.000232862,0.00030692507,0.00006784924,0.0002763915],"domain_scores_gemma":[0.9994862,0.000020421614,0.000052945947,0.000228533,0.00016565854,0.000046222096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006179979,0.00019972365,0.00021160596,0.000361461,0.0003058665,0.000024661585,0.0000992294,0.0003400921,0.000007220663],"category_scores_gemma":[0.0000064811197,0.00021882878,0.00004738635,0.00042901997,0.00025614648,0.00016604418,0.0000013934302,0.00025214325,0.000014209713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038474875,0.00007308584,0.0000036572924,0.00026877463,0.00007080667,0.0000038786097,0.0001735257,0.26914126,0.10525566,0.00010655035,0.0000124265625,0.62485194],"study_design_scores_gemma":[0.00041779835,0.0001615816,0.0000037212187,0.000051568975,0.000027049495,0.000032838023,0.00010224466,0.58820534,0.41008478,0.00053375954,0.00020876316,0.00017059225],"about_ca_topic_score_codex":0.000003927144,"about_ca_topic_score_gemma":0.000060454815,"teacher_disagreement_score":0.92940986,"about_ca_system_score_codex":0.000116649266,"about_ca_system_score_gemma":0.000011849605,"threshold_uncertainty_score":0.8923578},"labels":[],"label_agreement":null},{"id":"W2791224295","doi":"10.1109/tvt.2018.2809616","title":"Content-Aware Cooperative Transmission in HetNets With Consideration of Base Station Height","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Macrocell; Base station; Computer science; Stochastic geometry; Cache; Cellular network; Transmission (telecommunications); Computer network; Interference (communication); Heterogeneous network; Spectral efficiency; Wireless network; Wireless; Telecommunications; Mathematics; Statistics","score_opus":0.012993893996349544,"score_gpt":0.2206890569744755,"score_spread":0.20769516297812596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791224295","genre_codex":"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":[0.14781548,0.000071073046,0.85107446,0.00013161125,0.00010280119,0.00043697213,0.000018463857,0.00029099532,0.000058151814],"genre_scores_gemma":[0.9907291,0.000053464584,0.009019715,0.000018179053,0.000008356462,0.00009740435,0.000012142185,0.000035512745,0.000026117532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911565,0.00004099235,0.00033152575,0.00022349323,0.00010949115,0.00017885795],"domain_scores_gemma":[0.99942565,0.00003373025,0.00005473122,0.00021794708,0.00023424708,0.000033723027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000646302,0.00017416505,0.00023952221,0.0005006552,0.000077999175,0.000007462843,0.00006829834,0.00023057882,0.000045154575],"category_scores_gemma":[0.000004379115,0.00016051409,0.000027804821,0.0006159576,0.00016554182,0.00020340073,4.0682508e-7,0.0002307257,0.000010773959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008500507,0.00009269588,0.000040571864,0.00004432504,0.000049891667,0.000013668162,0.00036253742,0.86318713,0.12758587,0.00021176165,0.000011968563,0.008314574],"study_design_scores_gemma":[0.0011262884,0.0004187943,0.000022962024,0.00017287105,0.000021147116,0.000027075526,0.0003938851,0.24715866,0.7503516,0.00007607137,0.00006459545,0.00016604373],"about_ca_topic_score_codex":0.000022639942,"about_ca_topic_score_gemma":0.00039879777,"teacher_disagreement_score":0.8429136,"about_ca_system_score_codex":0.00010322472,"about_ca_system_score_gemma":0.000032527463,"threshold_uncertainty_score":0.6545574},"labels":[],"label_agreement":null},{"id":"W2791647641","doi":"10.1109/bsc.2018.8494690","title":"Updating Beamformers to Respond to Changes in Users","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"","keywords":"Beamforming; Telecommunications link; Computer science; Base station; Focus (optics); Interference (communication); Transmission (telecommunications); Signal-to-noise ratio (imaging); Estimator; SIGNAL (programming language); Power (physics); Real-time computing; Telecommunications; Channel (broadcasting); Mathematics","score_opus":0.01627643851262807,"score_gpt":0.26286904854989007,"score_spread":0.24659261003726202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791647641","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":[0.12507783,0.000046814326,0.8395212,0.0004615549,0.0021260702,0.0018883325,0.00003946284,0.000906558,0.029932173],"genre_scores_gemma":[0.4534281,0.000043468557,0.54143465,0.0005613759,0.00064140913,0.0006222148,0.00010866182,0.00026038938,0.0028997322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998876,0.00001791317,0.00029834744,0.0003547134,0.000121641446,0.00033138858],"domain_scores_gemma":[0.999323,0.00003022928,0.00003795814,0.0004204227,0.000055919827,0.0001324318],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022852558,0.00024965176,0.0002800876,0.00055014325,0.000020795169,0.000042514213,0.000239013,0.00019938001,0.000112253554],"category_scores_gemma":[0.00011316096,0.0002782291,0.000026556188,0.00033790668,0.0000069244393,0.0000748554,0.0003045109,0.00021760512,0.00019260334],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010309076,0.0000025179945,0.00013044936,0.00013032887,0.000011638144,0.0000015319625,0.0014001178,0.99273163,0.0017307141,0.000032416956,0.0022330058,0.0015853641],"study_design_scores_gemma":[0.0023390127,0.00072672975,0.0035880469,0.009314528,0.00009755975,0.000021313206,0.014903167,0.6644206,0.13227369,0.0010680298,0.16187143,0.009375888],"about_ca_topic_score_codex":0.00009618844,"about_ca_topic_score_gemma":0.001974494,"teacher_disagreement_score":0.32835028,"about_ca_system_score_codex":0.00038881472,"about_ca_system_score_gemma":0.000019147074,"threshold_uncertainty_score":0.999967},"labels":[],"label_agreement":null},{"id":"W2792367940","doi":"10.1002/ett.3280","title":"Distributed heuristic adaptive power control algorithms in femto cellular networks for improved performance","year":2018,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heritage College","funders":"","keywords":"Computer science; Heuristics; Algorithm; Heuristic; Throughput; Power control; Power (physics); Femtocell; Real-time computing; Computer network; Base station; Telecommunications","score_opus":0.010368718619999084,"score_gpt":0.23086711506160412,"score_spread":0.22049839644160504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792367940","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":[0.0017515845,0.0004740033,0.99358875,0.00037461976,0.0002166569,0.00088349165,0.00009164541,0.0024704062,0.00014882794],"genre_scores_gemma":[0.92207617,0.0005271076,0.07663991,0.000010649871,0.000012841889,0.00060213037,0.000047540034,0.00005423606,0.00002941475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884444,0.00003089389,0.0004313875,0.00024323084,0.000057276706,0.00039277942],"domain_scores_gemma":[0.99853957,0.0001952357,0.00008189773,0.0009993707,0.00015768221,0.000026272292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001633662,0.00024126035,0.00026411112,0.00037362057,0.0003848005,0.000025748164,0.0005645326,0.00021969946,0.000012615018],"category_scores_gemma":[0.00004863533,0.00026620217,0.00006896518,0.0008473172,0.00019632034,0.00023027715,0.000010780656,0.00045147794,0.000010271987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037301033,0.000081486534,0.000016851656,0.000015330483,0.000060542243,1.8029955e-7,0.00011820984,0.96104634,0.0007532236,0.00015842186,0.00006603133,0.03764609],"study_design_scores_gemma":[0.0007046383,0.00019604841,0.000062252635,0.000067430905,0.000025758383,0.0000018111998,0.00064066384,0.99216074,0.004636051,0.0001894293,0.0010355567,0.00027960486],"about_ca_topic_score_codex":0.000010810207,"about_ca_topic_score_gemma":0.00006730037,"teacher_disagreement_score":0.92032456,"about_ca_system_score_codex":0.00024533903,"about_ca_system_score_gemma":0.000016230271,"threshold_uncertainty_score":0.999979},"labels":[],"label_agreement":null},{"id":"W2792705166","doi":"10.1109/tvt.2018.2812724","title":"Performance Analysis of Massive MIMO Two-Way Relay Networks With Pilot Contamination, Imperfect CSI, and Antenna Correlation","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Relay; Antenna (radio); Channel state information; Node (physics); Relay channel; Channel (broadcasting); Cooperative MIMO; Computer science; Electronic engineering; Topology (electrical circuits); 3G MIMO; Telecommunications; Power (physics); Wireless; Engineering; Electrical engineering; Physics","score_opus":0.004435720441668621,"score_gpt":0.19816906976765059,"score_spread":0.19373334932598196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792705166","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37969196,0.00007941281,0.61958474,0.000018865872,0.00012243014,0.00019527231,0.0000059488543,0.00024634562,0.00005501477],"genre_scores_gemma":[0.99606997,0.00017142051,0.0035759355,0.000008143214,0.00001697412,0.00006696414,0.000011331274,0.000036863592,0.00004238545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990843,0.000027906985,0.0003078407,0.00026268786,0.00010693247,0.0002103536],"domain_scores_gemma":[0.9992325,0.00004674111,0.00011159878,0.0003297895,0.00024329973,0.00003609065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103524886,0.00019388972,0.00033280966,0.00095865916,0.00013835079,0.000009128794,0.00009447173,0.00019802261,0.0000169962],"category_scores_gemma":[0.0000052825785,0.00018359089,0.00004661264,0.0018533227,0.0002388765,0.00019194608,0.0000013460632,0.00026614132,0.0000049759474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004922483,0.00003201691,0.0014255828,0.00001934786,0.00047405847,0.0000022661432,0.00007877594,0.98579895,0.007481742,0.00006151347,0.0000026215512,0.0045739124],"study_design_scores_gemma":[0.00067667605,0.00068519084,0.0013367587,0.00006790054,0.0005255381,0.000021113101,0.000073700736,0.97372514,0.022681672,0.000004874566,0.000014538463,0.00018689022],"about_ca_topic_score_codex":0.000013815668,"about_ca_topic_score_gemma":0.00019531912,"teacher_disagreement_score":0.616378,"about_ca_system_score_codex":0.000092131464,"about_ca_system_score_gemma":0.000009704732,"threshold_uncertainty_score":0.74866194},"labels":[],"label_agreement":null},{"id":"W2792845577","doi":"10.1109/tmc.2018.2810228","title":"Optimal Resource Allocations for Mobile Data Offloading via Dual-Connectivity","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Small cell; Base station; Exploit; Telecommunications link; Cellular network; Optimization problem; Scheduling (production processes); Bandwidth allocation; Bandwidth (computing); Handover; Distributed computing; Mathematical optimization; Algorithm","score_opus":0.022023838797690504,"score_gpt":0.2738646612198756,"score_spread":0.25184082242218514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792845577","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":[0.03214407,0.00007517177,0.9641806,0.000008306704,0.0010737027,0.001185975,0.00012391283,0.0009294853,0.00027879194],"genre_scores_gemma":[0.9243089,0.000007179919,0.07474969,0.000021210753,0.0004074357,0.00026189905,0.000055674864,0.00009897332,0.00008905843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984469,0.000048515434,0.00042166392,0.0005308897,0.00013726481,0.00041479344],"domain_scores_gemma":[0.99837023,0.00041379986,0.00008160267,0.00089307124,0.00013966138,0.00010164552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003550177,0.00025951106,0.0002629377,0.00018621002,0.0005818185,0.00006184828,0.0003148877,0.00012509545,0.000033423137],"category_scores_gemma":[0.000015190878,0.0003105789,0.00008043978,0.0004013584,0.00007469939,0.0003793799,0.000007800028,0.00024106291,0.000051357667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013381966,0.00006225913,0.000002090651,0.000051480187,0.000054835833,6.173347e-7,0.00044520295,0.9556709,0.0060660723,0.0000055052815,0.00028609563,0.037341546],"study_design_scores_gemma":[0.00041722748,0.00018053383,0.000003426367,0.00007858335,0.00004291207,0.000022160944,0.0002500318,0.9663775,0.027855387,0.00000767985,0.0044595296,0.00030501],"about_ca_topic_score_codex":0.00001421943,"about_ca_topic_score_gemma":0.00003728303,"teacher_disagreement_score":0.8921648,"about_ca_system_score_codex":0.00017686257,"about_ca_system_score_gemma":0.000026231444,"threshold_uncertainty_score":0.9999346},"labels":[],"label_agreement":null},{"id":"W2792931891","doi":"10.22215/etd/2017-12231","title":"HetHetNets: Heterogeneous Wireless Cellular Networks with Heterogeneous Traffic","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heterogeneous network; Computer science; Cellular network; Base station; Wireless network; Computer network; Poisson point process; Coverage probability; Wireless; Telecommunications link; Point process; Telecommunications","score_opus":0.0064007563928793285,"score_gpt":0.21053428715389183,"score_spread":0.2041335307610125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792931891","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":[0.35610077,0.014780024,0.57030004,0.000008575867,0.0075916536,0.0036027527,0.00006890198,0.0053313538,0.042215925],"genre_scores_gemma":[0.98404306,0.0005773687,0.0012519431,0.00001111898,0.00039478112,0.00019530012,0.0019676015,0.0005234751,0.011035369],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979176,0.000035114503,0.00053742446,0.0006079259,0.00028302515,0.0006188941],"domain_scores_gemma":[0.99830407,0.0000296253,0.00028487478,0.0010634662,0.0001373855,0.00018056286],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007493014,0.0008009034,0.00075527903,0.00016943649,0.00023843435,0.00019209397,0.0005179698,0.00073422014,0.00013459178],"category_scores_gemma":[0.000005604575,0.000745089,0.00017408222,0.00010786992,0.000038930488,0.00018979705,0.000012110657,0.00047925138,0.000058526453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004946013,0.000019092457,0.0000029246785,0.00030024524,0.00020294625,0.00013671356,0.00016966114,0.9852675,0.00039411493,0.0000066177854,0.00014246731,0.013308231],"study_design_scores_gemma":[0.00063914724,0.00013337277,0.000003332584,0.0005831096,0.00017152113,0.00014100752,0.00011532273,0.9793197,0.015615706,0.000006767824,0.0018199232,0.0014510872],"about_ca_topic_score_codex":0.00001681936,"about_ca_topic_score_gemma":0.001007484,"teacher_disagreement_score":0.62794226,"about_ca_system_score_codex":0.0001755356,"about_ca_system_score_gemma":0.000041113457,"threshold_uncertainty_score":0.99950004},"labels":[],"label_agreement":null},{"id":"W2793891342","doi":"10.1186/s13638-018-1061-1","title":"Rotating cluster mechanism for coordinated heterogeneous MIMO cellular networks","year":2018,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Western Canada Research Grid; Compute Canada; University of Alberta; Telus","keywords":"Computer science; Cluster analysis; Telecommunications link; Base station; Cellular network; Scheduling (production processes); Cluster (spacecraft); Precoding; Enhanced Data Rates for GSM Evolution; Computer network; Throughput; Real-time computing; MIMO; Distributed computing; Mathematical optimization; Artificial intelligence; Telecommunications; Wireless; Mathematics","score_opus":0.021615620764079583,"score_gpt":0.252389614006555,"score_spread":0.23077399324247544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793891342","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":[0.025712319,0.0024866767,0.9697581,0.0001518623,0.00089210615,0.00036129795,0.0000028712507,0.00017183402,0.00046291837],"genre_scores_gemma":[0.97666836,0.002289274,0.019826971,0.00015104892,0.0008814511,0.000044396136,0.00001878131,0.000086678,0.000033016822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988013,0.0001307371,0.0004745109,0.0001580632,0.00008492867,0.00035044856],"domain_scores_gemma":[0.99861646,0.00030856358,0.00020017347,0.0005291262,0.00022855589,0.00011714166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039619158,0.00021085129,0.00024169675,0.00010760029,0.0010267033,0.00016368013,0.00038941237,0.0001109526,0.000004550066],"category_scores_gemma":[0.000013055997,0.00021245005,0.00006993353,0.00021329164,0.00007310558,0.00015859547,0.00009455842,0.0003839182,0.0000032246298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079067184,0.00006159195,0.00028697692,0.00005750203,0.0002382513,0.000007579235,0.00083827716,0.80286056,0.0027137492,0.0051130527,0.0005776651,0.18716572],"study_design_scores_gemma":[0.0005273216,0.00013301673,0.0000038162307,0.00030112755,0.00002646358,0.00008838948,0.0000467086,0.99426377,0.0005496305,0.00057236955,0.0032575524,0.00022986312],"about_ca_topic_score_codex":0.0000015086202,"about_ca_topic_score_gemma":0.00001742148,"teacher_disagreement_score":0.95095605,"about_ca_system_score_codex":0.0000666712,"about_ca_system_score_gemma":0.0000085793645,"threshold_uncertainty_score":0.8663461},"labels":[],"label_agreement":null},{"id":"W2794029223","doi":"10.25103/jestr.111.24","title":"On Virtualization and Security-Awareness Performance Analysis in 5G Cellular Networks","year":2018,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"King Abdulaziz City for Science and Technology","keywords":"Virtualization; Computer science; Computer network; Multitenancy; Cloud computing; Cellular network; Service virtualization; Data virtualization; Software as a service; Operating system; Software","score_opus":0.004655963833491469,"score_gpt":0.22434131463019236,"score_spread":0.21968535079670087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794029223","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":[0.61768186,0.05260918,0.3290392,0.000090872425,0.00027490425,0.00015940874,4.825165e-7,0.00008639275,0.000057719346],"genre_scores_gemma":[0.9729217,0.026287638,0.0007386611,0.000016448352,0.00002488485,0.0000026507337,3.1664442e-7,0.0000067602514,9.4006236e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993493,0.0000053241024,0.0002921342,0.00010307303,0.000110004985,0.000140154],"domain_scores_gemma":[0.9995695,0.000019717094,0.00008116851,0.00011470507,0.00017779887,0.00003715148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006154739,0.00008805875,0.00027158522,0.0008611972,0.000042505595,0.000014709638,0.00013084504,0.000060473387,0.0000017918044],"category_scores_gemma":[0.00017436412,0.00007693581,0.000015207339,0.0030990564,0.00011314437,0.00028211728,0.00001672071,0.00015374497,4.3209872e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026036944,0.000015048673,0.007823921,0.0009204048,0.000058751488,0.000009978526,0.000085222186,0.9690759,0.0021647527,0.0018891629,0.000032777032,0.01792146],"study_design_scores_gemma":[0.00011921015,0.000111567315,0.00052069325,0.0018653576,0.00006902253,0.00004513725,0.000009981259,0.99518293,0.0015653832,0.00006597312,0.0003223158,0.00012245668],"about_ca_topic_score_codex":3.2130862e-7,"about_ca_topic_score_gemma":0.0000011632048,"teacher_disagreement_score":0.35523984,"about_ca_system_score_codex":0.000049724484,"about_ca_system_score_gemma":0.000016110098,"threshold_uncertainty_score":0.31373513},"labels":[],"label_agreement":null},{"id":"W2794751467","doi":"10.1109/access.2018.2816817","title":"Conjoint Routing and Resource Allocation in OFDMA-Based D2D Wireless Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation","keywords":"Computer science; Subcarrier; Resource allocation; Computer network; Controller (irrigation); Routing (electronic design automation); Distributed computing; Wireless network; Set (abstract data type); Power control; Wireless; Power (physics); Mathematical optimization; Orthogonal frequency-division multiplexing; Channel (broadcasting); Telecommunications","score_opus":0.01441238288188223,"score_gpt":0.25401320062357596,"score_spread":0.23960081774169373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794751467","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":[0.30948785,0.0001157986,0.6892126,0.000033997985,0.00025915037,0.00017505322,0.0000010875976,0.00016208261,0.0005523431],"genre_scores_gemma":[0.9989856,0.00001662481,0.0005803066,0.00007663608,0.0002475123,0.000034588138,0.0000071855334,0.00003447272,0.00001707831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993322,0.000026969166,0.00022442943,0.00016443736,0.000063800246,0.00018816305],"domain_scores_gemma":[0.9996524,0.000051907795,0.00005254628,0.00015565752,0.000048393573,0.00003913724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014808238,0.000108619,0.00013295634,0.00008433678,0.000046639,0.00006582525,0.00012363371,0.00008212987,0.0000068288864],"category_scores_gemma":[0.000012581611,0.00011986441,0.000011176445,0.00024825253,0.000036579844,0.00028994257,0.000019445926,0.000099999554,0.000003026414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008057751,0.0000057740376,0.0048325593,0.00003824584,0.0000049932396,0.0000014345928,0.00014655433,0.9852818,0.0014618324,0.00003751106,0.00014477149,0.008036461],"study_design_scores_gemma":[0.00034145694,0.000009399962,0.0014159592,0.00015112504,0.000004343961,0.0000011229243,0.000029982926,0.9879632,0.009787983,0.000016323795,0.00014196492,0.00013711622],"about_ca_topic_score_codex":0.00006361786,"about_ca_topic_score_gemma":0.00018649882,"teacher_disagreement_score":0.6894977,"about_ca_system_score_codex":0.00006782808,"about_ca_system_score_gemma":0.000008275926,"threshold_uncertainty_score":0.48879287},"labels":[],"label_agreement":null},{"id":"W2795905224","doi":"10.1109/lcomm.2018.2825428","title":"Mixed Quality of Service in Cell-Free Massive MIMO","year":2018,"lang":"en","type":"preprint","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Queen's University; Queen's University Belfast","keywords":"Quality of service; MIMO; Telecommunications link; Computer science; Benchmark (surveying); Throughput; Channel (broadcasting); Mathematical optimization; Wireless; Computer network; Real-time computing; Mathematics; Telecommunications","score_opus":0.05417333655387082,"score_gpt":0.28976618352194794,"score_spread":0.2355928469680771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795905224","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":[0.3566115,0.0024783185,0.60777366,0.012757848,0.0035147658,0.0027463683,0.0007674315,0.0010426635,0.012307477],"genre_scores_gemma":[0.87463427,0.00030436696,0.123981245,0.00035767563,0.00007229569,0.00026477818,0.0002804091,0.000086067565,0.000018880239],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981789,0.00031121823,0.0008784701,0.00025417216,0.00015831037,0.00021893],"domain_scores_gemma":[0.99348253,0.00027726984,0.00036873028,0.0056401202,0.00018465662,0.00004667803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035268578,0.00027466475,0.00046425583,0.00026701632,0.000052015064,0.000022550437,0.0025521773,0.00025628274,0.0000095217665],"category_scores_gemma":[0.00006879861,0.00034828944,0.00009407206,0.000367465,0.0001257264,0.00010266311,0.000898822,0.00065879885,0.000028370527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066267894,0.00006604109,0.0003549488,0.00100648,0.000057523215,6.134851e-7,0.0012818499,0.9494605,0.042061906,0.00012023844,0.0054480736,0.00013519303],"study_design_scores_gemma":[0.0046754777,0.00004224663,0.009164133,0.003759643,0.00023174484,0.0000049645682,0.0015172735,0.9030273,0.06546742,0.0034983102,0.0049062944,0.003705173],"about_ca_topic_score_codex":0.0005262752,"about_ca_topic_score_gemma":0.0014917532,"teacher_disagreement_score":0.5180228,"about_ca_system_score_codex":0.00028736913,"about_ca_system_score_gemma":0.00003965528,"threshold_uncertainty_score":0.9998969},"labels":[],"label_agreement":null},{"id":"W2796283700","doi":"10.1109/mnet.2018.1700227","title":"Packet Duplication for URLLC in 5G: Architectural Enhancements and Performance Analysis","year":2018,"lang":"en","type":"article","venue":"IEEE Network","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Robustness (evolution); Cellular network; Computer network; Network packet; User equipment; Distributed computing; Software deployment; Base station","score_opus":0.009249939840304531,"score_gpt":0.23693794361472614,"score_spread":0.2276880037744216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796283700","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":[0.5918158,0.000121743185,0.40686074,0.0000073917545,0.00052023167,0.00024812194,0.000002556793,0.000067634166,0.00035577037],"genre_scores_gemma":[0.993632,0.000040383904,0.0052059283,0.000017043532,0.0009340501,0.000063260675,0.00002138767,0.000016188551,0.000069733185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994439,0.000008590675,0.0001686597,0.00013811656,0.000043604858,0.00019714335],"domain_scores_gemma":[0.9997415,0.000029168577,0.000033862114,0.00013813846,0.000029874143,0.000027462032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000975173,0.000086438995,0.00013124186,0.00007963347,0.000047170513,0.000012627028,0.000049935166,0.000040026396,0.0000033104884],"category_scores_gemma":[0.0000052380633,0.00008952669,0.000021226537,0.00044448307,0.000020778527,0.00009336847,0.0000048430215,0.00004259965,0.000005653031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023989034,0.0000030910342,0.0071412916,0.000030856772,0.000051427316,6.478068e-8,0.00019680819,0.98175526,0.0004930674,0.000007821492,0.00037598092,0.009920342],"study_design_scores_gemma":[0.00030557121,0.000058582675,0.023238286,0.000039528546,0.00004784583,0.0000010153565,0.000008376425,0.9729304,0.0023007623,0.00015852603,0.00075295387,0.00015818594],"about_ca_topic_score_codex":0.0000047770513,"about_ca_topic_score_gemma":0.00013868652,"teacher_disagreement_score":0.40181622,"about_ca_system_score_codex":0.00004062363,"about_ca_system_score_gemma":0.000002667171,"threshold_uncertainty_score":0.36507928},"labels":[],"label_agreement":null},{"id":"W2796862611","doi":"10.1109/tcomm.2018.2854613","title":"Unified Analysis and Optimization of D2D Communications in Cellular Networks Over Fading Channels","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Fading; Cellular network; Telecommunications link; Computer science; Stochastic geometry; Power control; Spectral efficiency; Transmitter power output; Cellular communication; Interference (communication); Electronic engineering; Signal-to-noise ratio (imaging); Computer network; Telecommunications; Power (physics); Base station; Engineering; Transmitter; Mathematics; Channel (broadcasting); Statistics","score_opus":0.023220725895469158,"score_gpt":0.2619273742864944,"score_spread":0.2387066483910252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796862611","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":[0.0020174328,0.0004308319,0.99564856,0.000090913425,0.00015239614,0.00032337965,0.000028132807,0.000168403,0.0011399764],"genre_scores_gemma":[0.94245285,0.0022166101,0.055054735,0.000014664465,0.000015164338,0.000098098964,0.00005769553,0.000037009173,0.000053166525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988771,0.00015250337,0.00051875436,0.00017335414,0.00009313394,0.00018516702],"domain_scores_gemma":[0.99732333,0.00027497014,0.0001082756,0.0020870275,0.00014415366,0.000062267005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021641643,0.00016841349,0.00028584292,0.0007387176,0.00028035982,0.000030154142,0.0005948328,0.00013550124,0.000040286188],"category_scores_gemma":[0.0000053952645,0.00020579742,0.00008076665,0.0020977836,0.00027536773,0.00028499457,0.000012743313,0.0002954337,0.0000035970595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055863743,0.00008184627,0.000082508384,0.000011717579,0.00015219176,8.4342496e-8,0.00065943855,0.9964786,0.00071558135,0.00020291464,0.0000064141627,0.0016030852],"study_design_scores_gemma":[0.00029614646,0.000026581754,0.00007812801,0.000055749708,0.0001760619,8.315541e-7,0.00014320979,0.996683,0.0022408213,0.000047151676,0.00008346305,0.00016885402],"about_ca_topic_score_codex":0.00012826493,"about_ca_topic_score_gemma":0.0010100747,"teacher_disagreement_score":0.9405938,"about_ca_system_score_codex":0.00010772062,"about_ca_system_score_gemma":0.000014530096,"threshold_uncertainty_score":0.8392175},"labels":[],"label_agreement":null},{"id":"W2796932148","doi":"10.1109/lwc.2018.2859965","title":"Approximation of Meta Distribution and its Moments for Poisson Cellular Networks","year":2018,"lang":"en","type":"preprint","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Poisson distribution; Distribution (mathematics); Applied mathematics; Mathematics; Scaling; Compound Poisson distribution; Zero-inflated model; Simple (philosophy); Statistical physics; Mathematical optimization; Computer science; Poisson regression; Mathematical analysis; Statistics; Physics","score_opus":0.034187466703745784,"score_gpt":0.25845921745389944,"score_spread":0.22427175075015365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796932148","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":[0.052400075,0.0025366403,0.94229317,0.0003651332,0.00045751638,0.0013349416,0.00038912924,0.00019563359,0.000027786149],"genre_scores_gemma":[0.98000115,0.0011003077,0.014736933,0.000026121656,0.00009789095,0.0009326878,0.0030209268,0.0000726185,0.000011387702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871343,0.000108525266,0.00058514625,0.00026156957,0.000119670454,0.00021166442],"domain_scores_gemma":[0.99782115,0.00014284,0.00035134322,0.0014228465,0.0002104625,0.000051333533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028549414,0.00029003777,0.00049734337,0.00011031181,0.00013677664,0.000042466843,0.00065162743,0.0002570479,0.0000019560603],"category_scores_gemma":[0.000021488644,0.00032980496,0.00013600138,0.00015303289,0.000102318285,0.00017421469,0.00025178306,0.00030974453,0.0000015688016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000841604,0.000037233192,0.000017336224,0.0007485286,0.00065914396,9.844232e-8,0.00023024443,0.9751277,0.021002486,0.0005344152,0.0010630169,0.0005713606],"study_design_scores_gemma":[0.00024280814,0.000010385074,0.00001693853,0.0001826438,0.00045245793,8.218427e-7,0.000017310367,0.98511344,0.013242756,0.00011807367,0.0003282133,0.0002741212],"about_ca_topic_score_codex":0.000013148434,"about_ca_topic_score_gemma":0.0000071154927,"teacher_disagreement_score":0.92760104,"about_ca_system_score_codex":0.0001691211,"about_ca_system_score_gemma":0.000012073295,"threshold_uncertainty_score":0.9999154},"labels":[],"label_agreement":null},{"id":"W2797325295","doi":"10.1109/tvt.2018.2824311","title":"Spectral and Energy Efficiency Tradeoff for Massive MIMO","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telecommunications link; Beamforming; Duality (order theory); MIMO; Spectral efficiency; Mathematical optimization; Channel state information; Maximization; Computer science; Strong duality; Optimization problem; Wireless; Efficient energy use; Mathematics; Engineering; Telecommunications; Discrete mathematics; Electrical engineering","score_opus":0.0059980754148553665,"score_gpt":0.20873314298273538,"score_spread":0.20273506756788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797325295","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018078586,0.00017909084,0.97976005,0.00020498516,0.00050076033,0.00018224241,0.000018215345,0.00082477176,0.000251303],"genre_scores_gemma":[0.9861019,0.00006877621,0.013392583,0.000023485301,0.00005716338,0.00015734561,0.0000021485646,0.00004619049,0.0001503582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992231,0.0000085853,0.00018319007,0.0002495917,0.000057680376,0.00027781114],"domain_scores_gemma":[0.9996135,0.000028019711,0.00002664692,0.00023557102,0.000053992273,0.00004225722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003611199,0.00016589658,0.00017624476,0.00034955933,0.00014323511,0.000011129065,0.00010870765,0.00026539265,0.000014334915],"category_scores_gemma":[0.0000042069632,0.00017574738,0.000051813942,0.00036117813,0.00017040945,0.00007909643,6.486103e-7,0.00014170425,0.000010038317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004709761,0.00012943664,0.0000062917456,0.00008855584,0.00016407795,0.000013122038,0.00021723728,0.7709993,0.14608365,0.008524909,0.00020744136,0.07351886],"study_design_scores_gemma":[0.00072077295,0.0004354015,0.0000034464706,0.00003383826,0.000044270746,0.00006175613,0.00010921638,0.4180613,0.57417524,0.0011594782,0.0049002473,0.00029507425],"about_ca_topic_score_codex":0.0000036878312,"about_ca_topic_score_gemma":0.000036092846,"teacher_disagreement_score":0.96802336,"about_ca_system_score_codex":0.00006850258,"about_ca_system_score_gemma":0.000009831696,"threshold_uncertainty_score":0.716677},"labels":[],"label_agreement":null},{"id":"W2799922603","doi":"10.1109/wf-iot.2018.8355135","title":"Lightweight energy-cost-efficient RAT association for Internet of Things","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Knapsack problem; Computer science; Context (archaeology); Node (physics); Internet of Things; Matching (statistics); The Internet; Computer network; Scheme (mathematics); Efficient energy use; Association (psychology); Selection (genetic algorithm); Distributed computing; Energy (signal processing); Embedded system; Algorithm; Artificial intelligence; Mathematics; Engineering; World Wide Web; Electrical engineering","score_opus":0.0072032315860488935,"score_gpt":0.21559442227124687,"score_spread":0.20839119068519799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799922603","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":[0.0012277096,0.000040847004,0.979546,0.000019341587,0.000713295,0.00019446302,0.0000026115424,0.00018282689,0.018072868],"genre_scores_gemma":[0.9722399,0.000005524491,0.019833604,0.000035727695,0.00013644031,0.000050187235,0.000017952047,0.000026197062,0.0076544303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948734,0.0000071143045,0.00020437453,0.00009261134,0.00007844851,0.00013014057],"domain_scores_gemma":[0.99959666,0.00005223418,0.00006868543,0.00009418877,0.00016449168,0.00002373574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108343,0.00007587098,0.00011282484,0.000057602538,0.000016671856,0.000010830342,0.00006789928,0.000069910006,0.000042852742],"category_scores_gemma":[0.000047107736,0.00006972052,0.000035318968,0.00009656264,0.00000779004,0.00010779276,0.000012124882,0.000023895922,0.000014052479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093356335,0.00017598965,0.0008843883,0.00042624638,0.0003686028,7.9914423e-7,0.0073175477,0.52058244,0.11908428,0.19444288,0.13718231,0.019441182],"study_design_scores_gemma":[0.00021753987,0.000031136184,0.0000052036185,0.000020397045,0.000007861236,3.1554316e-7,0.000019661762,0.68803275,0.28820908,0.00011573781,0.023257703,0.00008260358],"about_ca_topic_score_codex":0.000013151326,"about_ca_topic_score_gemma":0.000011704097,"teacher_disagreement_score":0.97101223,"about_ca_system_score_codex":0.00016137055,"about_ca_system_score_gemma":0.0000049047317,"threshold_uncertainty_score":0.284312},"labels":[],"label_agreement":null},{"id":"W2800163819","doi":"10.7939/r35717w8m","title":"Energy Efficient Relay Network Design Using Power-Normalized SNR","year":2013,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ontario Institute of Technology","keywords":"Relay; Power (physics); Computer science; Energy (signal processing); Efficient energy use; Telecommunications; Electrical engineering; Electronic engineering; Engineering; Mathematics; Statistics; Physics","score_opus":0.005946507568687557,"score_gpt":0.14970730895522086,"score_spread":0.1437608013865333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800163819","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":[0.053510685,0.00024318055,0.9283148,0.00003285937,0.00021350943,0.00017834452,8.937201e-7,0.00018585607,0.017319875],"genre_scores_gemma":[0.8146607,0.000058999143,0.18144266,0.00003228083,0.000044122346,3.352207e-7,0.000020527827,0.00005219245,0.0036881624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994358,0.00004553202,0.00012450348,0.00012523074,0.00006633796,0.00020261576],"domain_scores_gemma":[0.99954677,0.000107799126,0.0000577085,0.00019120981,0.000018648103,0.0000778419],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000022788301,0.00011609967,0.0001650296,0.00008099935,0.00007223635,0.000013486172,0.00017105688,0.000086998036,0.00073080463],"category_scores_gemma":[0.0000038885555,0.0001423227,0.000051776617,0.00023995101,0.000034465393,0.0006762834,0.000066857916,0.0000576128,0.000033691882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012890207,0.00000916233,0.00014807601,0.000013178229,0.000028889968,0.0000031263642,0.00049872266,0.99278295,0.00045206235,0.00076150574,0.0051937834,0.00009565465],"study_design_scores_gemma":[0.00036707896,0.00002086754,0.000070227885,0.00006379259,0.000015342275,0.000004156062,0.00020053775,0.9927882,0.0010924883,0.0000660313,0.0051250295,0.00018625488],"about_ca_topic_score_codex":0.00044783324,"about_ca_topic_score_gemma":0.000006913696,"teacher_disagreement_score":0.76115006,"about_ca_system_score_codex":0.00003158372,"about_ca_system_score_gemma":0.000021800286,"threshold_uncertainty_score":0.80017984},"labels":[],"label_agreement":null},{"id":"W2800306244","doi":"10.1007/s12200-018-0802-4","title":"Broadband linearization for 5G fronthaul transmission","year":2018,"lang":"en","type":"article","venue":"Frontiers of Optoelectronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Broadband; Computer science; Transmission (telecommunications); Linearization; W-CDMA; Telecommunications; Computer network; Nonlinear system; Physics; Code division multiple access","score_opus":0.004998724009936372,"score_gpt":0.21698977171048714,"score_spread":0.21199104770055077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800306244","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":[0.0016881159,0.0035078102,0.99214584,0.000026033857,0.000627215,0.0004286427,0.000012700324,0.00017884518,0.0013847898],"genre_scores_gemma":[0.7063048,0.0004546396,0.2921222,0.000014814536,0.00031833258,0.00004685869,0.00012471699,0.00009863909,0.000515049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999149,0.000011050801,0.0002826859,0.00016412194,0.00009700438,0.00029609405],"domain_scores_gemma":[0.999528,0.0000146691555,0.0000665888,0.00018121197,0.00015564906,0.00005391312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000099881516,0.00014502868,0.00021902935,0.000098961165,0.00006560377,0.000012477899,0.00012930152,0.0001297529,0.000009904517],"category_scores_gemma":[0.000024051411,0.00015617111,0.00005434974,0.00017485542,0.00004462512,0.00019911605,0.0000032711737,0.00007928753,0.0000028385552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030735176,0.00008014984,0.00039424803,0.00040689076,0.00025572933,4.3727337e-7,0.0011722598,0.74548507,0.07390035,0.0010267638,0.10018964,0.07678114],"study_design_scores_gemma":[0.0007012263,0.00031235407,0.000013964087,0.000028449012,0.000031017247,0.0000014004358,0.000030522497,0.77821267,0.16224349,0.0005048555,0.057723317,0.00019672653],"about_ca_topic_score_codex":0.0000025603658,"about_ca_topic_score_gemma":0.000003670267,"teacher_disagreement_score":0.70461667,"about_ca_system_score_codex":0.00011907231,"about_ca_system_score_gemma":0.000041176725,"threshold_uncertainty_score":0.6368473},"labels":[],"label_agreement":null},{"id":"W2801250686","doi":"10.1155/2018/3097094","title":"Spectral and Energy Efficiencies in mmWave Cellular Networks for Optimal Utilization","year":2018,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Samsung; Ministry of Education, Libya","keywords":"Computer science; Energy (signal processing); Computer network; Energy harvesting; Telecommunications; Distributed computing; Physics","score_opus":0.01892863522952478,"score_gpt":0.2500719529753453,"score_spread":0.2311433177458205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801250686","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":[0.1966199,0.0027618709,0.8000361,0.0000060687576,0.00006788259,0.00015431448,0.00000200951,0.000094392155,0.00025746715],"genre_scores_gemma":[0.968833,0.00085277885,0.030121822,0.000008345178,0.00006680846,0.00004774096,0.000033285152,0.00002246301,0.000013724797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994009,0.000030000043,0.00022439798,0.00013685148,0.000031230316,0.00017659504],"domain_scores_gemma":[0.9994056,0.00013320045,0.00004492867,0.00032238007,0.000060045768,0.000033803088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013758482,0.00010256742,0.00013577683,0.000079334524,0.00022367197,0.000041810545,0.00014621494,0.00005873537,8.114281e-7],"category_scores_gemma":[0.0000060254,0.00011619885,0.000014452347,0.00018345722,0.00012815332,0.00008806333,0.00011788473,0.00007011888,1.825952e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037966397,0.000023746989,0.00032853015,0.00003495493,0.0000084430285,1.7919717e-7,0.0012968816,0.8988528,0.0021125085,0.006133367,0.00001372187,0.091191076],"study_design_scores_gemma":[0.00022441901,0.000043901935,0.0000878528,0.00006154331,0.0000046450155,0.0000032306875,0.00040395188,0.9970786,0.0008049293,0.000026534906,0.0011413244,0.000119082826],"about_ca_topic_score_codex":0.00001895648,"about_ca_topic_score_gemma":0.00006378825,"teacher_disagreement_score":0.77221316,"about_ca_system_score_codex":0.000034247223,"about_ca_system_score_gemma":0.0000066941184,"threshold_uncertainty_score":0.47384512},"labels":[],"label_agreement":null},{"id":"W2801829973","doi":"10.1007/978-3-319-90802-1_5","title":"Massive MIMO for Future Vehicular Networks: Compressed-Sensing and Low-Complexity Detection Schemes (Invited Paper)","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","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":"Memorial University of Newfoundland","funders":"","keywords":"MIMO; Computer science; Low latency (capital markets); Software deployment; Compressed sensing; Latency (audio); Intelligent transportation system; Computer network; Telecommunications; Engineering; Channel (broadcasting); Transport engineering","score_opus":0.015754237123637486,"score_gpt":0.21870808127436667,"score_spread":0.20295384415072917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801829973","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":[0.00041495805,0.0009700956,0.9965784,0.00015347802,0.0007753309,0.0008118245,0.000067215195,0.00011928092,0.0001094507],"genre_scores_gemma":[0.032290075,0.0002899565,0.9664846,0.00009693331,0.00064389134,0.00002761969,0.00010997399,0.000048180344,0.000008786266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901795,0.0000070593005,0.0005098697,0.00013596937,0.00011544358,0.00021368984],"domain_scores_gemma":[0.99896306,0.00017863234,0.00028286083,0.00033669415,0.0001964776,0.0000422778],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017149144,0.0002977952,0.00036577915,0.00014022566,0.00075011794,0.00012902387,0.00041541216,0.00028371075,5.639006e-7],"category_scores_gemma":[0.000030522904,0.0002652879,0.0001238226,0.0001299803,0.00037956247,0.00030466658,0.0001864379,0.00028937522,1.18308364e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023459302,0.0000023118812,3.5710903e-7,0.00043201534,0.00006591453,2.3612087e-8,0.0005274819,0.9884277,0.00006887229,0.0012046548,0.000035130015,0.009233191],"study_design_scores_gemma":[0.0002220457,0.00003335589,0.0000064440346,0.00030654843,0.000056905374,0.000006114484,0.000012621845,0.9852936,0.00029167882,0.00055147463,0.012940598,0.0002785683],"about_ca_topic_score_codex":0.000007668032,"about_ca_topic_score_gemma":0.000106322295,"teacher_disagreement_score":0.03187512,"about_ca_system_score_codex":0.00007500239,"about_ca_system_score_gemma":0.000023284956,"threshold_uncertainty_score":0.9999799},"labels":[],"label_agreement":null},{"id":"W2801956656","doi":"10.1109/twc.2018.2832062","title":"Energy-Efficient Cross-Layer Resource Allocation for Heterogeneous Wireless Access","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; Six Talent Peaks Project in Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Bandwidth allocation; Bandwidth (computing); Resource allocation; Physical layer; Transmitter power output; Queue; Channel state information; Channel allocation schemes; Wireless; Mathematical optimization; Channel (broadcasting); Telecommunications; Transmitter; Mathematics","score_opus":0.03421067399809427,"score_gpt":0.30172923140482877,"score_spread":0.26751855740673447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801956656","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":[0.016708994,0.00013917095,0.9795024,0.00017150816,0.00055681803,0.0006074482,0.00012759403,0.0008113189,0.0013747645],"genre_scores_gemma":[0.99285746,0.00022278732,0.0049532237,0.0001196498,0.00010587797,0.0010876448,0.000080994236,0.00013658468,0.00043577957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984247,0.000092994,0.0005566582,0.00035070308,0.00018996447,0.0003849858],"domain_scores_gemma":[0.99706584,0.00028620046,0.000118072276,0.0020221132,0.00037830108,0.00012949728],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016491396,0.0003015831,0.0002629706,0.00027235216,0.00076049886,0.00016998018,0.0011770542,0.00019710603,0.00002698364],"category_scores_gemma":[0.000004784995,0.00034941966,0.00014601137,0.00056260644,0.0002855537,0.00029857023,0.000011518804,0.00023411046,0.000040799765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035497407,0.00018761997,0.0000043185964,0.000038134738,0.00007518108,2.1924113e-7,0.00030550375,0.9675698,0.0064198,0.000838387,0.0002120065,0.024313504],"study_design_scores_gemma":[0.0005100465,0.000064173095,0.0000067753103,0.000074009746,0.0000408599,0.0000095554515,0.000045663037,0.8830115,0.10973209,0.000064188025,0.0060949675,0.00034614553],"about_ca_topic_score_codex":0.00004470817,"about_ca_topic_score_gemma":0.00037755954,"teacher_disagreement_score":0.9761485,"about_ca_system_score_codex":0.00028118596,"about_ca_system_score_gemma":0.00004091233,"threshold_uncertainty_score":0.99989575},"labels":[],"label_agreement":null},{"id":"W2802906475","doi":"10.1016/j.procs.2018.04.044","title":"Raptor code to mitigate Pilot contamination in Massive MiMo","year":2018,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; MIMO; Channel (broadcasting); Code (set theory); Minimum mean square error; Scheme (mathematics); Real-time computing; Wireless; 3G MIMO; Algorithm; Telecommunications; Statistics; Mathematics","score_opus":0.011066844700544354,"score_gpt":0.234933393760945,"score_spread":0.22386654906040063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802906475","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":[0.09156655,0.00001811685,0.90630984,0.0000851457,0.0009711332,0.0003485017,0.0000022706915,0.0001983853,0.0005000757],"genre_scores_gemma":[0.9026147,0.000002157503,0.09698248,0.000104921986,0.00021707699,0.000041055282,0.0000012095707,0.000013347137,0.0000230113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902636,0.000008249175,0.00018956992,0.00029811345,0.00018369652,0.00029402404],"domain_scores_gemma":[0.9994475,0.00002552596,0.000030776337,0.00016428206,0.0002225808,0.000109312095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002310803,0.00010855685,0.000108851054,0.00026653532,0.000069747104,0.00006812918,0.00030977806,0.000022757687,0.000004531663],"category_scores_gemma":[0.000058845297,0.0001146124,0.000008873904,0.0009880334,0.00012158061,0.0005539969,0.00007189062,0.000059121867,0.000097383934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028036817,0.00007560615,0.0037153484,0.00016283744,0.0000085771835,0.000011892941,0.008255053,0.80992275,0.11064774,0.0024786892,0.0017498034,0.06294366],"study_design_scores_gemma":[0.00025975998,0.00015858964,0.003917534,0.00007676242,0.0000010963801,0.0000042711695,0.000015365733,0.9666011,0.028316779,0.00012854637,0.0003413994,0.00017884144],"about_ca_topic_score_codex":0.0000040421733,"about_ca_topic_score_gemma":0.000053449057,"teacher_disagreement_score":0.8110482,"about_ca_system_score_codex":0.00016948229,"about_ca_system_score_gemma":0.000049182036,"threshold_uncertainty_score":0.4673758},"labels":[],"label_agreement":null},{"id":"W2803073251","doi":"10.1109/twc.2018.2825380","title":"Two-Timescale Hybrid RF-Baseband Precoding With MMSE-VP for Multi-User Massive MIMO Broadcast Channels","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Baseband; Codebook; Minimum mean square error; Computer science; MIMO; Algorithm; Zero-forcing precoding; Telecommunications link; Channel state information; Beamforming; Mathematical optimization; Mathematics; Telecommunications; Bandwidth (computing); Wireless; Statistics","score_opus":0.030793771846145918,"score_gpt":0.27486907817555956,"score_spread":0.24407530632941363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803073251","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":[0.0044895513,0.00015398505,0.9919374,0.00015579669,0.00054700434,0.0012052027,0.00027191653,0.00065431953,0.00058480276],"genre_scores_gemma":[0.9000425,0.00018025679,0.09719187,0.000037844336,0.000089580244,0.0010860336,0.00006153412,0.00013891143,0.0011714818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986708,0.00006681209,0.00041387804,0.00032140847,0.00013448336,0.00039258084],"domain_scores_gemma":[0.9976568,0.00025984878,0.000110520225,0.0015157226,0.0003207768,0.00013632937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001259236,0.0003220483,0.000310353,0.00024188205,0.0007827487,0.00007986001,0.0005956904,0.000094312694,0.000045682507],"category_scores_gemma":[0.000005999202,0.00033578763,0.00011019842,0.00038166344,0.0002471619,0.00043554467,0.000005554817,0.0003259473,0.00006682988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000738825,0.00028744395,0.000011998774,0.0000839674,0.00019680565,8.6281983e-7,0.0009313822,0.97658354,0.00815679,0.00020735385,0.00029800148,0.013167941],"study_design_scores_gemma":[0.0022060496,0.00018624426,0.000008713057,0.00030871495,0.00011476455,0.000019989466,0.00034976166,0.8592224,0.13344023,0.000019642126,0.0035722076,0.00055129005],"about_ca_topic_score_codex":0.00004120605,"about_ca_topic_score_gemma":0.00044167045,"teacher_disagreement_score":0.89555293,"about_ca_system_score_codex":0.0002016059,"about_ca_system_score_gemma":0.000045177287,"threshold_uncertainty_score":0.9999094},"labels":[],"label_agreement":null},{"id":"W2803323405","doi":"10.1109/tvt.2018.2839352","title":"Directed-Hypergraph-Based Channel Allocation for Ultradense Cloud D2D Communications With Asymmetric Interference","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Hypergraph; Computer science; Potential game; Interference (communication); Channel allocation schemes; Channel (broadcasting); Nash equilibrium; Context (archaeology); Cloud computing; Distributed computing; Mathematical optimization; Computer network; Theoretical computer science; Wireless; Mathematics; Telecommunications; Discrete mathematics","score_opus":0.012614749783667745,"score_gpt":0.229713355189824,"score_spread":0.21709860540615625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803323405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004704486,0.0001771707,0.99109364,0.00056007033,0.0004120412,0.0007233575,0.00003852723,0.0021537011,0.00013698863],"genre_scores_gemma":[0.95755666,0.00009323999,0.041418843,0.000040988143,0.00003551623,0.00072151347,0.00002424046,0.00007182632,0.000037159094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990104,0.000032704582,0.00027987396,0.00029409266,0.000094767165,0.00028818403],"domain_scores_gemma":[0.99852306,0.000107848835,0.00006858031,0.00095105893,0.00029767488,0.000051771935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008431156,0.0002320499,0.00023150742,0.00096751476,0.00025617587,0.000019024095,0.00040328034,0.00029180446,0.0000054076045],"category_scores_gemma":[0.000009898436,0.00023315108,0.00006758275,0.0017408422,0.00029122506,0.000117597905,0.0000015320717,0.00030822688,0.00002834787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018600425,0.0005239492,0.000027787704,0.00019067482,0.0004058521,0.0000039689244,0.00035790878,0.8847196,0.045146365,0.0009499336,0.0003233523,0.067164615],"study_design_scores_gemma":[0.0008154506,0.00050118676,0.00000470676,0.00011278859,0.00007761289,0.000025706197,0.00012451624,0.7564694,0.24036975,0.00021847898,0.00097379694,0.00030657992],"about_ca_topic_score_codex":0.000009649564,"about_ca_topic_score_gemma":0.0001620892,"teacher_disagreement_score":0.9528522,"about_ca_system_score_codex":0.0001348483,"about_ca_system_score_gemma":0.00002826398,"threshold_uncertainty_score":0.9507625},"labels":[],"label_agreement":null},{"id":"W2804428195","doi":"10.1186/s13638-018-1103-8","title":"Spatial spectral and energy efficiencies of cellular networks limited by co-channel interference and path loss in Nakagami-m fading environment","year":2018,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Ministry of Education, Libya","keywords":"Path loss; Fading; Spectral efficiency; Computer science; Nakagami distribution; Base station; Interference (communication); Antenna (radio); Cellular network; Energy (signal processing); Channel (broadcasting); Telecommunications; Topology (electrical circuits); Wireless; Mathematics; Statistics; Electrical engineering; Engineering","score_opus":0.013516625723263188,"score_gpt":0.21544190685171008,"score_spread":0.2019252811284469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804428195","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":[0.3455842,0.009905068,0.6440425,0.000033983477,0.00012456068,0.00006488772,0.0000032022226,0.000023615385,0.00021798085],"genre_scores_gemma":[0.967476,0.031578436,0.00076910824,0.0000142980025,0.00011780989,0.0000046926866,0.000008584303,0.000023451037,0.000007587651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909025,0.00011154578,0.00037403186,0.00013308848,0.00007997357,0.00021107886],"domain_scores_gemma":[0.99931824,0.00017182759,0.00015261811,0.0002567581,0.000023206318,0.000077347424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024963298,0.00015406548,0.00022006844,0.000111810106,0.00022655368,0.000055099135,0.00018423851,0.000068563364,0.0000020683194],"category_scores_gemma":[0.0000042395236,0.00015389462,0.000018162695,0.00012297246,0.00022732813,0.00011670477,0.00009875563,0.00028606626,2.1463086e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015707804,0.0002473072,0.025258034,0.00010189032,0.00016061385,0.000024602527,0.0071802335,0.7238361,0.02009515,0.001966875,0.00010975054,0.22086236],"study_design_scores_gemma":[0.0003633416,0.0001479908,0.0006617622,0.00044838368,0.000009787053,0.000041211515,0.0001712041,0.99670404,0.0006691128,0.00006401517,0.00054836966,0.00017075498],"about_ca_topic_score_codex":0.000018447348,"about_ca_topic_score_gemma":0.000032553533,"teacher_disagreement_score":0.6432734,"about_ca_system_score_codex":0.000055641598,"about_ca_system_score_gemma":0.000004710075,"threshold_uncertainty_score":0.6275641},"labels":[],"label_agreement":null},{"id":"W2804753412","doi":"10.1109/access.2018.2839190","title":"System Capacity Maximization With Efficient Resource Allocation Algorithms in D2D Communication","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Cellular network; Bipartite graph; Shared resource; Algorithm; Resource allocation; Quality of service; Throughput; Interference (communication); Time-sharing; Maximization; Matching (statistics); Resource management (computing); Distributed computing; Computer network; Mathematical optimization; Theoretical computer science; Wireless; Mathematics; Telecommunications","score_opus":0.01882477259503235,"score_gpt":0.24528508420877845,"score_spread":0.2264603116137461,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804753412","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":[0.14759645,0.00006432428,0.84749407,0.000018840887,0.00019954787,0.0004428973,0.0000041081116,0.00040844711,0.0037712988],"genre_scores_gemma":[0.9910805,0.000008719918,0.008605034,0.000013490044,0.000099985125,0.000086870234,0.00003543755,0.00004443662,0.000025519967],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908376,0.000073614836,0.00029771894,0.00019404537,0.00016015995,0.00019072578],"domain_scores_gemma":[0.99917966,0.000034823905,0.00009639964,0.0004846272,0.00016176148,0.00004270785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022859705,0.00014346172,0.00015337377,0.00017013334,0.00009515555,0.00007930173,0.0003158025,0.000088446286,0.000005584387],"category_scores_gemma":[0.000011256919,0.00014176994,0.000013343236,0.00059725123,0.000057447472,0.00039119698,0.000025785019,0.000114701535,0.000029067864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012194877,0.000016791362,0.0005403644,0.00010946284,0.000008169515,7.3756314e-7,0.00052230933,0.9972159,0.0004723298,0.00013445342,0.00010258738,0.0008646559],"study_design_scores_gemma":[0.00043122747,0.000021664491,0.00085825875,0.0002608674,0.000008943127,0.000009741697,0.0001883448,0.9854881,0.0122641735,0.0000102079775,0.0002711602,0.00018732257],"about_ca_topic_score_codex":0.0001297304,"about_ca_topic_score_gemma":0.00019586741,"teacher_disagreement_score":0.84348404,"about_ca_system_score_codex":0.00036816022,"about_ca_system_score_gemma":0.00001235573,"threshold_uncertainty_score":0.57812107},"labels":[],"label_agreement":null},{"id":"W2805155750","doi":"10.1186/s13638-018-1120-7","title":"Coverage probability analysis of three uplink power control schemes: Stochastic geometry approach","year":2018,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Path loss; Transmitter power output; Power control; Telecommunications link; Computer science; Base station; Stochastic geometry; Coverage probability; Rayleigh fading; Fading; Cellular network; Signal-to-interference-plus-noise ratio; Computer network; Power (physics); Telecommunications; Mathematics; Statistics; Wireless; Transmitter","score_opus":0.02538825818276189,"score_gpt":0.25368082269259673,"score_spread":0.22829256450983484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805155750","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":[0.10456922,0.0022664065,0.8918082,0.00003288768,0.0001477783,0.00020880265,0.000006852025,0.000061787265,0.0008980364],"genre_scores_gemma":[0.9894441,0.00062440254,0.009733031,0.000023727007,0.00011722865,0.000010323315,0.000013995889,0.000029668774,0.000003547449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881047,0.00010884564,0.00056006404,0.00015296982,0.00014771294,0.0002199551],"domain_scores_gemma":[0.99823314,0.00033172802,0.0002717261,0.000854034,0.00021625753,0.00009308511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060245773,0.00017329895,0.00042281192,0.0003325322,0.00034017194,0.000065115026,0.00041473407,0.000086176,0.000012043437],"category_scores_gemma":[0.00002674276,0.00016163103,0.00011123551,0.0010450085,0.0001737008,0.00016519392,0.00007476615,0.0004203549,0.0000014634072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043359905,0.00011950056,0.006060904,0.00003076194,0.0011432121,5.8111453e-7,0.0005079224,0.9670575,0.00028270643,0.0018599905,0.000017625329,0.022875896],"study_design_scores_gemma":[0.00043218915,0.000073462244,0.0020610176,0.000116629584,0.0002451424,0.000012016742,0.00004857047,0.9963972,0.000011612774,0.00024455407,0.00019344517,0.00016417264],"about_ca_topic_score_codex":0.000002197695,"about_ca_topic_score_gemma":0.000012925349,"teacher_disagreement_score":0.8848749,"about_ca_system_score_codex":0.00008530673,"about_ca_system_score_gemma":0.000016328428,"threshold_uncertainty_score":0.6591123},"labels":[],"label_agreement":null},{"id":"W2806589217","doi":"10.5555/3213200.3213206","title":"Handover oscillation reduction in ultra-dense heterogeneous cellular networks using enhanced handover approach","year":2018,"lang":"en","type":"article","venue":"Communications and Networking Symposium","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Computer science; Computer network; Heterogeneous network; Reduction (mathematics); Soft handover; Wireless network; Wireless; Real-time computing; Distributed computing; Telecommunications","score_opus":0.019222405325152923,"score_gpt":0.23482641198835735,"score_spread":0.21560400666320442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806589217","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":[0.06447381,0.0056965216,0.92420346,0.000017779037,0.0008015571,0.0004946003,0.0000020598022,0.00023295004,0.0040772934],"genre_scores_gemma":[0.98540163,0.003312392,0.010550527,0.000012412635,0.0005259527,0.000040948693,0.00005906125,0.000055374072,0.000041683346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888384,0.000113510745,0.00038510392,0.00024632216,0.000082493425,0.00028875447],"domain_scores_gemma":[0.9989038,0.000057915102,0.00010308544,0.0007988119,0.00007848713,0.000057870653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234025,0.00019557754,0.00021643878,0.00013003638,0.0003205235,0.000081659215,0.00021504369,0.0001554907,0.000003344663],"category_scores_gemma":[0.0000039212828,0.00022255206,0.0000401022,0.00042700107,0.00014381281,0.00023581932,0.000071181756,0.00020175273,0.0000024059038],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001751768,0.00002643536,0.0003358068,0.000021292884,0.000021369377,3.3292736e-7,0.0007311564,0.91961366,0.07697507,0.00006547068,0.000025775833,0.0021661087],"study_design_scores_gemma":[0.0004293603,0.000024587538,0.000022604754,0.00012330915,0.000025074838,0.000027519016,0.000054742126,0.9932985,0.0047025206,0.000055268425,0.0009887707,0.0002477803],"about_ca_topic_score_codex":0.000033003576,"about_ca_topic_score_gemma":0.000040881245,"teacher_disagreement_score":0.9209278,"about_ca_system_score_codex":0.0001523352,"about_ca_system_score_gemma":0.000009779867,"threshold_uncertainty_score":0.9075409},"labels":[],"label_agreement":null},{"id":"W2806665931","doi":"10.1109/twc.2019.2946824","title":"Asynchronous Downlink Massive MIMO Networks: A Stochastic Geometry Approach","year":2019,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Sharif University of Technology","keywords":"Telecommunications link; Asynchronous communication; Ergodic theory; MIMO; Stochastic geometry; Computer science; Synchronization (alternating current); Transmission (telecommunications); Spectral efficiency; Power control; Wireless; Topology (electrical circuits); Power (physics); Control theory (sociology); Computer network; Mathematics; Telecommunications; Control (management); Physics; Statistics; Channel (broadcasting)","score_opus":0.018947702567956963,"score_gpt":0.24480385650474917,"score_spread":0.2258561539367922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806665931","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":[0.00042161977,0.001796463,0.99003357,0.00011807564,0.0020304974,0.0019764393,0.00042285808,0.0013641602,0.0018363128],"genre_scores_gemma":[0.9540739,0.0022147398,0.040893268,0.00003543743,0.00011406167,0.0016886883,0.0005294319,0.000263283,0.00018717858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740976,0.0002155672,0.00088123186,0.00065030967,0.00029041793,0.0005527328],"domain_scores_gemma":[0.99371135,0.00047512216,0.00028399398,0.0051062354,0.00024010592,0.00018319268],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00019933195,0.00072715996,0.0008115258,0.00065352576,0.00042882058,0.0001472553,0.0019278678,0.00085414015,0.000038055387],"category_scores_gemma":[0.000007572735,0.00086672045,0.00035043084,0.00070796174,0.00020519312,0.00023079703,0.000048896647,0.0028792587,0.00018068709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011225633,0.0002603869,0.0000013725348,0.00026824573,0.00033837243,6.4398387e-7,0.00033343554,0.991264,0.00005840773,0.0002448159,0.00011483235,0.007104272],"study_design_scores_gemma":[0.0004435495,0.000031302832,0.000009101803,0.000464931,0.00020432132,0.000011105049,0.00019753103,0.9975679,0.00011888702,0.00008407603,0.0000930447,0.0007742325],"about_ca_topic_score_codex":0.000054596196,"about_ca_topic_score_gemma":0.00006479399,"teacher_disagreement_score":0.95365226,"about_ca_system_score_codex":0.0008236857,"about_ca_system_score_gemma":0.00014976982,"threshold_uncertainty_score":0.9994211},"labels":[],"label_agreement":null},{"id":"W2806773864","doi":"10.48550/arxiv.1806.00673","title":"Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Cloud computing; Computer science; Computer network; Telecommunications link; Radio access network; Base station","score_opus":0.14240810522156014,"score_gpt":0.24158726534934663,"score_spread":0.09917916012778649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806773864","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":[0.04235432,0.00043657122,0.9535014,0.00000395131,0.0012221888,0.00076402153,0.00023934507,0.00045833678,0.0010198528],"genre_scores_gemma":[0.994197,0.0005568882,0.00279078,0.000008821612,0.000994574,0.0000034009333,0.0011346971,0.00008239722,0.00023144143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99827445,0.00003438279,0.00025880756,0.001018137,0.000040606374,0.00037360523],"domain_scores_gemma":[0.99817574,0.000077556564,0.00017340473,0.0013434169,0.00009219645,0.00013767525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022190444,0.0003481751,0.00040605757,0.00011101564,0.00016515255,0.0001549284,0.0013711391,0.00024057562,0.000019278963],"category_scores_gemma":[0.000019210485,0.00042257356,0.000060638027,0.00014825042,0.000071820185,0.0006163112,0.002023485,0.00036049206,0.0000073231613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036303114,0.00000834935,0.0007541966,0.00039674173,0.00009683886,0.000018575114,0.000013627775,0.99261487,0.000009911179,0.001117599,0.0046713282,0.00026165784],"study_design_scores_gemma":[0.0005204502,0.000018708643,0.00006423814,0.00032790581,0.00011196912,0.000004615676,0.000016487853,0.9888826,0.00006943171,0.008081455,0.0014654963,0.00043661648],"about_ca_topic_score_codex":0.000027761778,"about_ca_topic_score_gemma":0.000023050197,"teacher_disagreement_score":0.95184267,"about_ca_system_score_codex":0.00014661402,"about_ca_system_score_gemma":0.0000344165,"threshold_uncertainty_score":0.9998226},"labels":[],"label_agreement":null},{"id":"W2807066928","doi":"10.1186/s13638-018-1150-1","title":"Radio resource coordination and scheduling scheme in ultra-dense cloud-based small cell networks","year":2018,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; National Natural Science Foundation of China","keywords":"Computer science; Cloud computing; Scheme (mathematics); Scheduling (production processes); Computer network; Distributed computing; Operating system; Mathematical optimization","score_opus":0.019850268543179454,"score_gpt":0.23610135250654166,"score_spread":0.2162510839633622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807066928","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":[0.44316474,0.015435326,0.53716093,0.0003940098,0.00054899574,0.00035583062,0.0000016912119,0.00019770357,0.0027407622],"genre_scores_gemma":[0.97895813,0.004069577,0.016252212,0.00007972942,0.00054106023,0.000011527855,0.000011508877,0.0000556443,0.000020637368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987689,0.00021359783,0.00045982035,0.00017008689,0.000093657116,0.00029392223],"domain_scores_gemma":[0.99876297,0.00038065977,0.00018223662,0.0004663637,0.000089220965,0.000118557946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006607548,0.00019742629,0.00023195398,0.00020725591,0.00050189195,0.00015312701,0.0002845074,0.00012033881,0.0000024169049],"category_scores_gemma":[0.000016273982,0.00021146542,0.000033025917,0.00039777588,0.00012328401,0.00015236324,0.000048931557,0.000689447,0.0000015645513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059047637,0.00006775266,0.009353178,0.0000490044,0.000030667085,0.000008974231,0.00074762426,0.9400452,0.0022882486,0.00047143563,0.00014697689,0.046731904],"study_design_scores_gemma":[0.0008007214,0.00006849048,0.00036285442,0.0006019544,0.000011862223,0.000045958757,0.00014742913,0.99264044,0.00021618138,0.000039167382,0.0048357863,0.00022914466],"about_ca_topic_score_codex":0.0000042610736,"about_ca_topic_score_gemma":0.000047099446,"teacher_disagreement_score":0.53579336,"about_ca_system_score_codex":0.000111980655,"about_ca_system_score_gemma":0.000015990054,"threshold_uncertainty_score":0.862331},"labels":[],"label_agreement":null},{"id":"W2807560850","doi":"10.1109/icc.2018.8422127","title":"Directional Spatial Channel Estimation for Massive FD-MIMO in Next Generation 5G Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Memorial University of Newfoundland","funders":"","keywords":"MIMO; Telecommunications link; Spatial correlation; Computer science; Channel (broadcasting); Azimuth; Transmitter; Algorithm; Channel state information; Overhead (engineering); Spatial multiplexing; Duplex (building); Precoding; Multi-user MIMO; Spectral efficiency; Electronic engineering; Telecommunications; Topology (electrical circuits); Mathematics; Wireless; Engineering; Geometry","score_opus":0.022295001351968068,"score_gpt":0.2403155050431563,"score_spread":0.21802050369118822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807560850","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":[0.0020167215,0.000046383415,0.99454546,0.00003610867,0.0011335558,0.00044690547,0.0000039527677,0.00021485491,0.0015560595],"genre_scores_gemma":[0.9379575,0.0000107567375,0.060077455,0.000025873413,0.0013555118,0.00018352503,0.0001534704,0.000032046035,0.00020384806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993791,0.000012499279,0.00022428454,0.00015220614,0.00006350025,0.00016839593],"domain_scores_gemma":[0.9997119,0.000033181936,0.00003745166,0.00008837466,0.00009833124,0.000030769526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086176056,0.00010939323,0.00010582747,0.000097141456,0.00006524429,0.000033589095,0.000040150233,0.000096909105,0.00004624334],"category_scores_gemma":[0.00003245275,0.00011747734,0.00002376455,0.00014707498,0.000014822566,0.00036838406,0.000005911346,0.00005152741,0.000016295608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000079163,0.0000066905814,0.000023778242,0.000010445014,0.0000063263883,1.5875239e-7,0.00007936917,0.98815966,0.002044552,0.00033138777,0.00086274615,0.008466954],"study_design_scores_gemma":[0.000344783,0.000035921024,0.000111715344,0.000016096728,0.0000040876657,0.0000014878871,0.000018588738,0.9934757,0.005477569,0.00017437422,0.0002101512,0.00012954843],"about_ca_topic_score_codex":0.00004611878,"about_ca_topic_score_gemma":0.0006561851,"teacher_disagreement_score":0.9359408,"about_ca_system_score_codex":0.00013696119,"about_ca_system_score_gemma":0.000009506816,"threshold_uncertainty_score":0.47905868},"labels":[],"label_agreement":null},{"id":"W2808132144","doi":"10.1109/access.2018.2845913","title":"User Oriented Resource Management With Virtualization: A Hierarchical Game Approach","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Carleton University","funders":"","keywords":"Computer science; Virtualization; Resource management (computing); Distributed computing; Cloud computing; Operating system","score_opus":0.011764841917282793,"score_gpt":0.24862114515410486,"score_spread":0.23685630323682205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808132144","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":[0.008811731,0.000022402928,0.95158327,0.000012267914,0.00020430044,0.00035001856,0.0000029039236,0.00045591197,0.038557176],"genre_scores_gemma":[0.9757531,0.000009773212,0.02223547,0.00009855731,0.0003706534,0.00011196336,0.000036561505,0.00007922256,0.0013046573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915254,0.000025305435,0.00018402735,0.00023996609,0.00017974435,0.00021838641],"domain_scores_gemma":[0.9994796,0.000013120731,0.000035818543,0.00033977855,0.0000640723,0.000067591136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006412386,0.00014814724,0.00013142136,0.00011486415,0.000060333947,0.000073775016,0.00025409568,0.000056518948,0.000030037407],"category_scores_gemma":[0.0000044530398,0.00013091082,0.000016834376,0.00054628926,0.00006465325,0.00037890996,0.000043479853,0.00008655687,0.00003061813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007700578,0.000055501627,0.00071749365,0.000196672,0.00011241488,0.000014100021,0.0007184618,0.9845955,0.00012688481,0.005822194,0.005447408,0.0021163751],"study_design_scores_gemma":[0.0029366012,0.00020643527,0.0013391535,0.00029405064,0.00010161184,0.00005888495,0.0004373758,0.7951051,0.006625352,0.00025732737,0.19149214,0.0011459511],"about_ca_topic_score_codex":0.0000028587292,"about_ca_topic_score_gemma":0.000005305889,"teacher_disagreement_score":0.9669414,"about_ca_system_score_codex":0.000059506896,"about_ca_system_score_gemma":0.0000049244863,"threshold_uncertainty_score":0.53383887},"labels":[],"label_agreement":null},{"id":"W2808258154","doi":"10.1109/mcom.2018.1700458","title":"Cloud Miracles: Heterogeneous Cloud RAN for Fair Coexistence of LTE-U and Wi-Fi in Ultra Dense 5G Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Exfo Electro-Optical Engineering (Canada)","funders":"European Commission","keywords":"Computer science; Computer network; Cloud computing; Network packet; Spectrum management; Radio access network; Ran; Leverage (statistics); Femtocell; LTE Advanced; Air interface; Telecommunications; Wireless; Telecommunications link; Cognitive radio; Base station; Mobile station; Operating system","score_opus":0.025290539927595432,"score_gpt":0.2720680308532937,"score_spread":0.24677749092569823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808258154","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":[0.17353109,0.0055573285,0.81536114,0.00018717378,0.0011927076,0.0016431699,0.00010752661,0.0003903067,0.0020295747],"genre_scores_gemma":[0.9756527,0.0011700154,0.022707066,0.000029975978,0.00014975743,0.000119434764,0.000043895423,0.00005109856,0.000076057426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896,0.00007439069,0.00049919885,0.00017277533,0.00006540698,0.00022818781],"domain_scores_gemma":[0.99800813,0.00035368386,0.00011886697,0.0012728331,0.00018618754,0.000060266946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022432012,0.00016866099,0.00027646407,0.00011121269,0.000104710074,0.000019765626,0.00049445935,0.00010687636,0.000004426073],"category_scores_gemma":[0.000087284876,0.00019262805,0.000044608118,0.00031350102,0.00026046444,0.00013839523,0.00004515858,0.00014743944,0.000011273639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018797033,0.00024823047,0.0013374174,0.0004265031,0.0001133476,0.000002961177,0.0034475278,0.9553169,0.029155178,0.0011979316,0.0038403664,0.004725663],"study_design_scores_gemma":[0.0018058403,0.00023804318,0.00038418168,0.00037094834,0.000049643695,0.000054142733,0.00020705296,0.979599,0.007550864,0.00041101503,0.008841081,0.00048819848],"about_ca_topic_score_codex":0.00001357527,"about_ca_topic_score_gemma":0.0005192786,"teacher_disagreement_score":0.80212164,"about_ca_system_score_codex":0.000068223046,"about_ca_system_score_gemma":0.00001253408,"threshold_uncertainty_score":0.7855144},"labels":[],"label_agreement":null},{"id":"W2809107956","doi":"10.1155/2018/3132424","title":"Cognitive‐Empowered Femtocells: An Intelligent Paradigm for Femtocell Networks","year":2018,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Femtocell; Macrocell; Computer science; Computer network; Cognitive radio; Scalability; WiMAX; Interoperability; Base station; Wireless; Telecommunications","score_opus":0.029457502263574662,"score_gpt":0.29594460560555447,"score_spread":0.2664871033419798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809107956","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":[0.06897503,0.00248773,0.9262843,0.000011636053,0.0002081189,0.0009573943,0.0000126459745,0.00036027044,0.0007028491],"genre_scores_gemma":[0.97909987,0.0008676985,0.01939985,0.000031250886,0.00018319508,0.00019357615,0.00014174105,0.000059569433,0.000023267126],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902934,0.000060828494,0.0003625826,0.00022585549,0.000049668026,0.00027175268],"domain_scores_gemma":[0.9986392,0.00030804766,0.000090940564,0.00070694287,0.00015323795,0.000101610676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022763024,0.00018152464,0.00021443151,0.00007249571,0.0004627295,0.00008172648,0.00036798444,0.00009294439,0.000005349558],"category_scores_gemma":[0.000010972388,0.00020389614,0.000039284223,0.00018193685,0.00017448471,0.00015524025,0.0001650523,0.00014965323,0.0000053887484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036031717,0.0002274051,0.00084935466,0.00018746789,0.00012246332,6.187363e-7,0.0051973346,0.42324758,0.001090081,0.005490244,0.00020822969,0.5633432],"study_design_scores_gemma":[0.00032250313,0.00013844679,0.000041308464,0.00013278793,0.000018826326,0.000005575033,0.00072555343,0.9931631,0.00048430226,0.00010428336,0.004627772,0.00023551614],"about_ca_topic_score_codex":0.000011362341,"about_ca_topic_score_gemma":0.000032641834,"teacher_disagreement_score":0.91012484,"about_ca_system_score_codex":0.00004260268,"about_ca_system_score_gemma":0.000012323962,"threshold_uncertainty_score":0.8314643},"labels":[],"label_agreement":null},{"id":"W2809161894","doi":"10.1155/2018/2328954","title":"Opportunistic NOMA‐Based Massive MIMO Precoding for 5G New Radio","year":2018,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada; École de Technologie Supérieure","funders":"","keywords":"Noma; Precoding; Computer science; MIMO; Computer network; Telecommunications; Beamforming; Telecommunications link","score_opus":0.032223482759321,"score_gpt":0.27924646012008186,"score_spread":0.24702297736076087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809161894","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":[0.009722068,0.0008734306,0.98667985,0.000071548784,0.00022284655,0.00066875026,0.000014241001,0.0003422812,0.0014049865],"genre_scores_gemma":[0.89013505,0.00012769467,0.10928597,0.000023688628,0.00015084866,0.000087554516,0.000076126285,0.000044017554,0.000069016634],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992151,0.000032927444,0.00031189184,0.0001743455,0.000047325182,0.00021839456],"domain_scores_gemma":[0.99861854,0.00032434426,0.000099037214,0.0007340851,0.00012039914,0.00010356816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014386002,0.00014819588,0.00019609096,0.0000848031,0.0004131798,0.00006116246,0.00033662957,0.00006606033,0.0000060070956],"category_scores_gemma":[0.000026279838,0.00016989185,0.000039261085,0.00015081842,0.00009846137,0.000104144565,0.00007135069,0.000104490144,0.0000040859545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016971599,0.00008803573,0.00057808566,0.000448042,0.00011299944,0.0000012494155,0.0029145025,0.4677425,0.010635425,0.008053383,0.0017739077,0.5076349],"study_design_scores_gemma":[0.00042309923,0.00005609731,0.000028137758,0.00016778869,0.000017182747,0.000004495453,0.00016349791,0.98811,0.0008366082,0.000071451344,0.009931253,0.00019040534],"about_ca_topic_score_codex":0.000017656499,"about_ca_topic_score_gemma":0.000019954587,"teacher_disagreement_score":0.880413,"about_ca_system_score_codex":0.00007018703,"about_ca_system_score_gemma":0.00004688879,"threshold_uncertainty_score":0.69279885},"labels":[],"label_agreement":null},{"id":"W2810142120","doi":"10.1007/978-3-319-73957-1_5","title":"Resource Allocation for Cognitive Radio Systems with D2D Communication","year":2018,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"Centennial College; Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; WiMAX; Resource allocation; Computer science; Computer network; Spectral efficiency; Telecommunications; Radio resource management; Shared resource; Wireless; Wireless network","score_opus":0.006479854570132602,"score_gpt":0.18245243124269686,"score_spread":0.17597257667256425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810142120","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":[0.0002518956,0.0042516547,0.99078315,0.000010321153,0.00016004512,0.00088814995,0.000009203552,0.00038714375,0.0032584518],"genre_scores_gemma":[0.8164535,0.0031138011,0.14650875,0.00014658648,0.0044887112,0.0014139601,0.0009178165,0.0017192847,0.025237584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878556,0.000010422183,0.00039858944,0.0003590981,0.00013418014,0.00031213023],"domain_scores_gemma":[0.9992548,0.00020378902,0.00008646041,0.00026319205,0.00010999069,0.00008175538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014133439,0.00037857905,0.00043923876,0.00028120013,0.00004924271,0.0000756158,0.00015928368,0.00027052037,0.0000026549264],"category_scores_gemma":[0.000009435062,0.00040345654,0.000044256332,0.00010582236,0.000035508037,0.00012553754,0.000045891953,0.00037729475,0.0000044497174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007078978,0.000018064888,0.000021734568,0.0008667971,0.00027175373,0.000009393708,0.00038016462,0.95669216,0.000053551652,0.02249847,0.00055983115,0.018557306],"study_design_scores_gemma":[0.00059531373,0.00013366931,0.00003435783,0.0013166921,0.000045835815,0.000037054106,0.0000034190682,0.9764227,0.00006333916,0.00012838014,0.020691007,0.00052822835],"about_ca_topic_score_codex":0.000005128246,"about_ca_topic_score_gemma":0.0000042865377,"teacher_disagreement_score":0.8442744,"about_ca_system_score_codex":0.00021807963,"about_ca_system_score_gemma":0.000015949627,"threshold_uncertainty_score":0.99984175},"labels":[],"label_agreement":null},{"id":"W281040221","doi":"10.1007/978-3-319-06337-9_3","title":"Multiuser Precoding Designs","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","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":"McGill University","funders":"","keywords":"Precoding; Computer science; Computer network; MIMO","score_opus":0.02393265764184805,"score_gpt":0.22850098495017196,"score_spread":0.20456832730832392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W281040221","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":[0.00004339214,0.00011599846,0.9130312,0.0000060854154,0.0020179746,0.00031275913,0.0000019432014,0.0004256108,0.084045],"genre_scores_gemma":[0.131016,0.0002459229,0.8387388,0.00012297087,0.0015486631,0.000046350317,0.00000843944,0.00035932602,0.027913561],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980725,0.000008668206,0.00046418852,0.0006451359,0.00034142556,0.0004680793],"domain_scores_gemma":[0.9989296,0.00007875919,0.00010682536,0.00066528283,0.000094281946,0.00012520635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053360144,0.00037203322,0.00038379387,0.0005179548,0.00009397468,0.00013242263,0.00075940776,0.00019467791,0.000042291354],"category_scores_gemma":[0.000022653452,0.00042602746,0.00006277052,0.0001741639,0.00021528271,0.00032107843,0.00024150634,0.00039358964,0.00012871959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015464651,0.000003564074,0.000028768849,0.00014355015,0.000009802755,0.00001546096,0.00022045431,0.87860656,0.00040396347,0.021568183,0.00010550537,0.09889263],"study_design_scores_gemma":[0.00019858804,0.000025212395,0.000051965013,0.00063206843,0.000005924784,0.000013761241,5.277573e-7,0.9846994,0.00079525606,0.0012640454,0.011662907,0.00065034354],"about_ca_topic_score_codex":0.0000047366043,"about_ca_topic_score_gemma":0.000015887093,"teacher_disagreement_score":0.13097261,"about_ca_system_score_codex":0.00043484502,"about_ca_system_score_gemma":0.00006159223,"threshold_uncertainty_score":0.99981916},"labels":[],"label_agreement":null},{"id":"W2810546111","doi":"10.1002/dac.3555","title":"Relax online resource allocation algorithms for D2D communication","year":2018,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Algorithm; Online algorithm; Cellular network; Bipartite graph; Matching (statistics); Blossom algorithm; Scheduling (production processes); Mathematical optimization; Theoretical computer science; Computer network; Mathematics","score_opus":0.02933013232330449,"score_gpt":0.31189542193126446,"score_spread":0.28256528960795996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810546111","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":[0.00608634,0.005861613,0.98140216,0.0013478354,0.001738259,0.0005461126,0.00006442081,0.00017227627,0.0027810002],"genre_scores_gemma":[0.9492831,0.0011314518,0.048151944,0.00006360823,0.000809014,0.000042227082,0.00026048147,0.000056972003,0.00020120395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979437,0.00019385178,0.0011950735,0.000108570544,0.00041036497,0.00014841373],"domain_scores_gemma":[0.9954235,0.00035627285,0.0007902545,0.0007182763,0.002635557,0.000076140255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010022611,0.00016381427,0.00027002825,0.00033767824,0.00013073932,0.00013380875,0.0013809777,0.00012726069,0.000010564146],"category_scores_gemma":[0.00019350556,0.00016898166,0.000107723776,0.0002037561,0.000100254954,0.00066907966,0.00008165875,0.00023881863,0.000017097811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003624043,0.0003921719,0.00035420826,0.00008218695,0.0011867154,0.0000031366606,0.0048139775,0.85449845,0.007983371,0.030697819,0.030864144,0.068761446],"study_design_scores_gemma":[0.0016008837,0.00017761247,0.00020322223,0.00090047595,0.000058570866,0.0001918757,0.0021251554,0.6752178,0.0020817309,0.0014235564,0.31566194,0.0003571753],"about_ca_topic_score_codex":0.000020469166,"about_ca_topic_score_gemma":0.00002263614,"teacher_disagreement_score":0.9431968,"about_ca_system_score_codex":0.00038349957,"about_ca_system_score_gemma":0.000048774335,"threshold_uncertainty_score":0.6890872},"labels":[],"label_agreement":null},{"id":"W2810926963","doi":"10.1109/lsp.2018.2849683","title":"Accurate Analytical BER Performance for ZF Receivers Under Imperfect Channel in Low-SNR Region for Large Receiving Antennas","year":2018,"lang":"en","type":"article","venue":"IEEE Signal Processing Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Channel (broadcasting); Bit error rate; Computer science; Signal-to-noise ratio (imaging); Maximal-ratio combining; Algorithm; Imperfect; Electronic engineering; Mathematics; Telecommunications; Control theory (sociology); Fading; Engineering","score_opus":0.021452274387306586,"score_gpt":0.2578889145882516,"score_spread":0.236436640200945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810926963","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":[0.1741485,0.000061250874,0.8242678,0.00030099275,0.00039795737,0.0005618047,0.000007784585,0.00019361675,0.00006030784],"genre_scores_gemma":[0.9956056,0.00001612906,0.0029375532,0.0005411105,0.0005799816,0.00013627342,0.000018779687,0.000101932565,0.00006265962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983901,0.000024237908,0.00039725413,0.0003935464,0.00013020038,0.00066466606],"domain_scores_gemma":[0.99938446,0.00011374067,0.00011472086,0.0001549602,0.0001554699,0.000076617456],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034606742,0.0002742374,0.0003050615,0.00024066173,0.00021997803,0.00008314617,0.00017287981,0.00013805256,0.000004218569],"category_scores_gemma":[0.00004200027,0.00028468808,0.00007955121,0.00040738835,0.000066333865,0.0007957743,0.000012670033,0.00018119306,0.00000729414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027639326,0.00004818355,0.0002889271,0.0014602147,0.00005602816,0.000005721922,0.0013125621,0.9478734,0.04100043,0.000014916504,0.0028372293,0.0048259743],"study_design_scores_gemma":[0.0010996506,0.00010744151,0.00015823364,0.0008059645,0.00002575087,0.000010146422,0.00012993821,0.9892331,0.0078426385,0.00004080991,0.00016554561,0.00038077426],"about_ca_topic_score_codex":0.0000030526228,"about_ca_topic_score_gemma":0.000013622913,"teacher_disagreement_score":0.8214571,"about_ca_system_score_codex":0.0002703736,"about_ca_system_score_gemma":0.000035069235,"threshold_uncertainty_score":0.99996054},"labels":[],"label_agreement":null},{"id":"W2824115208","doi":"10.1109/iccw.2018.8403669","title":"Power Minimization in Wireless Network Virtualization with Massive MIMO","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Toronto","funders":"","keywords":"Precoding; Computer science; Telecommunications link; MIMO; Computer network; Channel state information; Transmitter power output; Base station; Wireless network; Wireless; Channel (broadcasting); Telecommunications","score_opus":0.004619387071850866,"score_gpt":0.20144046940820035,"score_spread":0.19682108233634948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2824115208","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":[0.016629284,0.000025141851,0.96151614,0.000018396897,0.0002734038,0.00024945723,0.0000011008656,0.00029988683,0.020987164],"genre_scores_gemma":[0.9827737,0.000013307803,0.016581697,0.00004639282,0.0001395686,0.000025186828,0.000028924245,0.00004882424,0.00034238715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993298,0.000021191945,0.00020588991,0.00015325479,0.00008864986,0.00020119765],"domain_scores_gemma":[0.9996539,0.00002031014,0.000039007497,0.00015439815,0.0000968757,0.00003553785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051774714,0.00012500878,0.00012468747,0.00008398817,0.000035651043,0.000021047095,0.000059993814,0.000077340024,0.00015152167],"category_scores_gemma":[0.000009762848,0.00011425036,0.00000999031,0.0005329035,0.000030377782,0.00028652034,0.000010121693,0.00004881546,0.000040599713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015739164,0.000007749117,0.002382931,0.000011933353,0.000008981202,0.000001894474,0.00031950008,0.99230504,0.00027016836,0.0032197835,0.0011684647,0.00028782012],"study_design_scores_gemma":[0.0006394416,0.00009762194,0.001008747,0.00012369888,0.000005552042,0.000003921858,0.00022851779,0.994116,0.0023918562,0.00012478344,0.0009644484,0.00029541057],"about_ca_topic_score_codex":0.000006176301,"about_ca_topic_score_gemma":0.00017959336,"teacher_disagreement_score":0.96614444,"about_ca_system_score_codex":0.0000825095,"about_ca_system_score_gemma":0.000010832114,"threshold_uncertainty_score":0.46589947},"labels":[],"label_agreement":null},{"id":"W2841126022","doi":"10.1109/iccw.2018.8403671","title":"Effects of Blockage in Deploying mmWave Drone Base Stations for 5G Networks and Beyond","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Drone; Base station; Computer science; Provisioning; Computer network; Cellular network; Channel (broadcasting); Wireless; Key (lock); Software deployment; Wireless network; Telecommunications; Real-time computing; Computer security","score_opus":0.004293897230691815,"score_gpt":0.20953065549897865,"score_spread":0.20523675826828683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2841126022","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":[0.04838719,0.00021149487,0.95007414,0.000005065572,0.00010801792,0.0004159917,0.0000022000993,0.00008022648,0.00071570434],"genre_scores_gemma":[0.95897067,0.000020828551,0.04081011,0.000011698823,0.00004652392,0.00004907004,0.0000054056068,0.000024397777,0.000061327235],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996105,0.000008564743,0.00014963071,0.0000845272,0.00002763341,0.000119140976],"domain_scores_gemma":[0.9996663,0.000178546,0.000021612721,0.00007134491,0.0000348029,0.000027391103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000636116,0.00006656868,0.0001055035,0.00006888814,0.000022925959,0.0000060186585,0.000023648796,0.0000399189,0.000003999788],"category_scores_gemma":[0.00004391405,0.00006964474,0.000010350104,0.000116339725,0.00001881827,0.00010239181,0.0000054213465,0.000032166536,6.9831714e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008675264,0.0000145468575,0.00037369903,0.0003109799,0.000016315342,0.0000010806287,0.00041854483,0.98376065,0.011170974,0.00068756705,0.0002155708,0.003021376],"study_design_scores_gemma":[0.00063645665,0.000044603163,0.00032178033,0.000051539686,0.000009254633,8.8442386e-7,0.00006024009,0.9657896,0.03280876,0.00016527339,0.00002605731,0.00008555797],"about_ca_topic_score_codex":0.000011142757,"about_ca_topic_score_gemma":0.0001325179,"teacher_disagreement_score":0.91058344,"about_ca_system_score_codex":0.000022268472,"about_ca_system_score_gemma":0.0000033862261,"threshold_uncertainty_score":0.284003},"labels":[],"label_agreement":null},{"id":"W284976851","doi":"10.1007/978-3-319-06337-9_2","title":"CoMP: Architectures and Implementations","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","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":"McGill University","funders":"","keywords":"Implementation; Computer science; Computer architecture; Programming language","score_opus":0.010505370811058757,"score_gpt":0.2341527881983813,"score_spread":0.22364741738732255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W284976851","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":[0.00034549393,0.00018756984,0.9595372,0.000019162228,0.00067418686,0.00025774603,0.0000066362054,0.00020287132,0.03876913],"genre_scores_gemma":[0.55255735,0.00021987602,0.4393122,0.00028153002,0.0009757348,0.000042343552,0.000021608876,0.00021385527,0.006375517],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998773,0.0000056622684,0.00031268995,0.00041695754,0.00021420578,0.0002774976],"domain_scores_gemma":[0.99938804,0.000060274928,0.000065099506,0.00035156411,0.000045723722,0.00008931087],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002417991,0.00023936908,0.00025002408,0.00040132165,0.000095747055,0.000098547214,0.00033355478,0.00007398448,0.000022918503],"category_scores_gemma":[0.00000742311,0.00026472603,0.00002729988,0.00010284866,0.00027786044,0.00008291081,0.00020349219,0.00023816075,0.000013966403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012786026,0.0000025881286,0.00012117129,0.00015290057,0.000012261105,0.000008582671,0.00041952863,0.79395366,0.00015729088,0.08230645,0.00009705214,0.12276726],"study_design_scores_gemma":[0.00046346433,0.000062688145,0.0012301673,0.00052553153,0.000013411856,0.000056168334,0.0000028739507,0.9600369,0.00032583074,0.013717891,0.0226031,0.0009619925],"about_ca_topic_score_codex":0.000008494995,"about_ca_topic_score_gemma":0.00006236633,"teacher_disagreement_score":0.5522119,"about_ca_system_score_codex":0.0001290986,"about_ca_system_score_gemma":0.000033009244,"threshold_uncertainty_score":0.9999805},"labels":[],"label_agreement":null},{"id":"W2883168090","doi":"10.1109/vtcspring.2018.8417594","title":"Performance of Millimeter Wave Massive MIMO with the Alamouti Code","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"MIMO; Computer science; Electronic engineering; 3G MIMO; Extremely high frequency; Beamforming; Path loss; Wireless; Bandwidth (computing); Spectral efficiency; Multi-user MIMO; Telecommunications; Engineering","score_opus":0.009314085922759284,"score_gpt":0.1955285976896267,"score_spread":0.1862145117668674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883168090","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":[0.41462615,0.00006214189,0.53472286,0.00008702892,0.0001653249,0.00048487878,0.000007683311,0.00020478558,0.049639154],"genre_scores_gemma":[0.98518616,0.000009384955,0.0136269145,0.000024908017,0.000058987127,0.000018831723,0.0000021291667,0.000021224942,0.0010514632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996296,0.000006638854,0.00010502129,0.000073333176,0.00006873213,0.00011664865],"domain_scores_gemma":[0.99965703,0.000020477972,0.000029363173,0.00019557223,0.000079650636,0.00001792494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003919303,0.00008049325,0.00008650989,0.00002429498,0.000032361742,0.0000052252585,0.000067353976,0.000028496239,0.000080168225],"category_scores_gemma":[0.000003138548,0.000046021203,0.000013655292,0.000107620894,0.0000715283,0.00010299057,0.000011728788,0.000042329317,0.000029995213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011748179,0.000030373454,0.004732801,0.00030103323,0.00026084666,0.0000035387739,0.0037913532,0.92847383,0.043729357,0.0007931352,0.011091884,0.006674384],"study_design_scores_gemma":[0.0003303033,0.00018896557,0.00090378243,0.00006225394,0.000017752265,0.000008615157,0.0002468053,0.82455885,0.17096536,0.0000055864275,0.0025431025,0.0001685867],"about_ca_topic_score_codex":0.0000031508732,"about_ca_topic_score_gemma":0.000027348475,"teacher_disagreement_score":0.57056,"about_ca_system_score_codex":0.000018355568,"about_ca_system_score_gemma":0.0000048205616,"threshold_uncertainty_score":0.18766902},"labels":[],"label_agreement":null},{"id":"W2883183615","doi":"10.1109/tvt.2018.2860618","title":"Equal-Gain Transmission in Massive MIMO Systems Under Ricean Fading","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities","keywords":"Fading; MIMO; Electronic engineering; Transmission (telecommunications); Computer science; Fading distribution; Telecommunications; Engineering; Channel (broadcasting); Rayleigh fading","score_opus":0.00997887311944136,"score_gpt":0.229463194166143,"score_spread":0.21948432104670162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883183615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021809144,0.00034109678,0.97461736,0.0001601312,0.00077137013,0.00049320166,0.0000086168,0.0012452762,0.00055380235],"genre_scores_gemma":[0.9953251,0.00009884117,0.004167349,0.000019701598,0.000045735127,0.0001394574,0.000003417899,0.00008271904,0.00011771071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985788,0.000054341188,0.00042986043,0.0003618344,0.00014480055,0.00043036812],"domain_scores_gemma":[0.9993469,0.00004749298,0.00005372857,0.00040816746,0.00007637375,0.00006730201],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013596819,0.0002698893,0.00031810772,0.0010059401,0.0001384958,0.000021609214,0.00021201257,0.00053037,0.000030664964],"category_scores_gemma":[0.0000042372903,0.00028662366,0.00006989323,0.001123225,0.000119001896,0.0001802284,0.0000012026745,0.0004970416,0.00011098909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000107636815,0.000042544067,0.000004944418,0.00005588541,0.000044001503,0.00001865506,0.00014600994,0.94399935,0.04857659,0.00076814764,0.000021269401,0.006311817],"study_design_scores_gemma":[0.00093626,0.00017948158,0.0000052160376,0.00033107548,0.000039415256,0.00005530755,0.00086397433,0.8229028,0.17257199,0.00058807817,0.0010727504,0.00045367214],"about_ca_topic_score_codex":0.000023286853,"about_ca_topic_score_gemma":0.00004535958,"teacher_disagreement_score":0.9735159,"about_ca_system_score_codex":0.00034166806,"about_ca_system_score_gemma":0.000019344678,"threshold_uncertainty_score":0.9999586},"labels":[],"label_agreement":null},{"id":"W2883352791","doi":"10.1109/tcomm.2018.2855193","title":"Optimizing the MIMO Cellular Downlink: Multiplexing, Diversity, or Interference Nulling?","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spatial multiplexing; Telecommunications link; Beamforming; Computer science; MIMO; Multiplexing; Interference (communication); Base station; Context (archaeology); Cellular network; Stochastic geometry; Antenna diversity; Enhanced Data Rates for GSM Evolution; Electronic engineering; Antenna (radio); Computer network; Engineering; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.04885017103795134,"score_gpt":0.2682494096700022,"score_spread":0.21939923863205088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883352791","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":[0.00083599816,0.00016698005,0.9940257,0.00029832617,0.00062889763,0.000353577,0.0000452953,0.0005584722,0.0030867383],"genre_scores_gemma":[0.95635307,0.00046833913,0.042474773,0.00006546083,0.0000582034,0.00008022009,0.000010585206,0.00004009128,0.00044928226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907565,0.000093889445,0.00029726964,0.00017978443,0.000120683944,0.00023271173],"domain_scores_gemma":[0.9977219,0.00030788576,0.00006018392,0.0016887492,0.00015237159,0.00006890402],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00015300863,0.00018979608,0.00015049311,0.00013459421,0.0015191985,0.00006267259,0.0011994061,0.000097192744,0.00014723316],"category_scores_gemma":[0.000011159899,0.00015582038,0.00008251747,0.00043431978,0.00028058846,0.0002578656,0.000030142783,0.00044253666,0.00019835176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038176044,0.00015213656,0.000013500775,0.000028670423,0.00013445839,0.0000011109364,0.007374178,0.9783005,0.0061036595,0.00023791216,0.00039637208,0.007219341],"study_design_scores_gemma":[0.0004894726,0.00010309148,0.000008462181,0.00015621528,0.00007376841,0.00000978902,0.0010646611,0.95831054,0.033505812,0.00011652647,0.005798818,0.00036282948],"about_ca_topic_score_codex":0.000064998094,"about_ca_topic_score_gemma":0.00090372626,"teacher_disagreement_score":0.95551705,"about_ca_system_score_codex":0.00013200691,"about_ca_system_score_gemma":0.000022064656,"threshold_uncertainty_score":0.9997807},"labels":[],"label_agreement":null},{"id":"W2883569077","doi":"10.1109/tcomm.2018.2859937","title":"Distributed Massive MIMO Systems With Non-Reciprocal Channels: Impacts and Robust Beamforming","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Beamforming; Precoding; MIMO; Computer science; Maximization; Overhead (engineering); Channel (broadcasting); Sensitivity (control systems); Multiplexing; Channel state information; Calibration; Measure (data warehouse); Control theory (sociology); Electronic engineering; Algorithm; Real-time computing; Mathematics; Mathematical optimization; Wireless; Engineering; Statistics; Computer network; Telecommunications","score_opus":0.020988579502902633,"score_gpt":0.2397483013288274,"score_spread":0.21875972182592476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883569077","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":[0.0021475484,0.00031659563,0.99515325,0.000118507975,0.00038384373,0.0005305353,0.00013813158,0.00038318563,0.00082838343],"genre_scores_gemma":[0.9824657,0.00038804093,0.016598422,0.000012000267,0.000057629735,0.00026308643,0.000046730827,0.000059252416,0.00010916008],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991106,0.00004165799,0.00028739125,0.0001830364,0.00011251968,0.00026482096],"domain_scores_gemma":[0.99850565,0.00013212433,0.00006821727,0.0009798812,0.00017845587,0.00013566339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009030282,0.00021465497,0.00021040521,0.00016143703,0.0005443981,0.000083279854,0.00030180777,0.00010905905,0.00000815586],"category_scores_gemma":[0.0000055058863,0.00020493908,0.00003301292,0.00044734168,0.00020320989,0.00039341516,0.000004227705,0.0002912766,0.000030161975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016017373,0.00005139251,0.0000073598753,0.000057125977,0.000080507576,6.0169054e-7,0.00062159356,0.9974867,0.0007130682,0.00005520727,0.00011138263,0.00079906103],"study_design_scores_gemma":[0.0005918892,0.00017382078,0.000025590132,0.00037799266,0.00006983394,0.000043235887,0.0009128976,0.99280965,0.0036166168,0.000011820335,0.0010484357,0.00031820242],"about_ca_topic_score_codex":0.000062299885,"about_ca_topic_score_gemma":0.0002520398,"teacher_disagreement_score":0.9803181,"about_ca_system_score_codex":0.0001701163,"about_ca_system_score_gemma":0.000028969014,"threshold_uncertainty_score":0.8357173},"labels":[],"label_agreement":null},{"id":"W2883723754","doi":"10.1007/s11276-018-1796-y","title":"Next generation wireless cellular networks: ultra-dense multi-tier and multi-cell cooperation perspective","year":2018,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":63,"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; Reliability (semiconductor); Computer network; Low latency (capital markets); Wireless; Telecommunications; Wireless network; Key (lock); Open research; Efficient energy use; Cellular network; Latency (audio); Heterogeneous network; Next-generation network; The Internet; Electrical engineering; Computer security","score_opus":0.01902428644199325,"score_gpt":0.2265689387290187,"score_spread":0.20754465228702546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883723754","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":[0.06760875,0.0034044941,0.92597497,0.000014260821,0.0016214212,0.0006558856,0.0000069437415,0.00046654005,0.00024675584],"genre_scores_gemma":[0.98695016,0.0010769719,0.008778171,0.000054333366,0.0024166866,0.000089860034,0.00012541097,0.00015834915,0.00035006274],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981603,0.000120656725,0.000466639,0.00056790776,0.00014834352,0.00053612696],"domain_scores_gemma":[0.9989351,0.000054081338,0.00012118776,0.0003973159,0.000316996,0.00017532021],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020280326,0.0004308478,0.00037534986,0.00010501295,0.0003431131,0.00020233555,0.00015275997,0.0003896247,0.000030027117],"category_scores_gemma":[0.000012513891,0.0004663441,0.00006073372,0.00030736,0.00015610212,0.0006169594,0.000034324188,0.0003502948,0.000035528305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019144176,0.000049838127,0.00012994943,0.000023173414,0.00003957469,0.000007217086,0.0009580284,0.96234,0.031781215,0.00024553132,0.0006761582,0.003730185],"study_design_scores_gemma":[0.0013236429,0.00006157329,0.000028489023,0.00006285616,0.00003791938,0.000010209409,0.00043908172,0.9889912,0.008379916,0.0000021656874,0.00014613637,0.000516814],"about_ca_topic_score_codex":0.000081398386,"about_ca_topic_score_gemma":0.00042633738,"teacher_disagreement_score":0.9193414,"about_ca_system_score_codex":0.00031543194,"about_ca_system_score_gemma":0.000024733303,"threshold_uncertainty_score":0.9997788},"labels":[],"label_agreement":null},{"id":"W2884365744","doi":"10.1109/tmc.2018.2857826","title":"How Expensive is Consistency? Performance Analysis of Consistent Rate Provisioning to Mobile Users in Cellular Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Provisioning; Consistency (knowledge bases); Class (philosophy); Independence (probability theory); Cellular network; Computer network; Distributed computing; Artificial intelligence","score_opus":0.010209619560298085,"score_gpt":0.22558963103681806,"score_spread":0.21538001147651997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884365744","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":[0.39565915,0.000070430724,0.60306317,0.0000053420367,0.00039079666,0.0006411997,0.0000072138373,0.0001055318,0.00005718331],"genre_scores_gemma":[0.9930197,0.00002888944,0.006565827,0.00004355147,0.000044124292,0.00017613296,0.000005390604,0.00004663158,0.00006976058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984927,0.00006767344,0.00054325396,0.00038300487,0.0001511537,0.00036219938],"domain_scores_gemma":[0.9989791,0.00017886276,0.0001277871,0.00040336666,0.00021312128,0.00009777103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023340753,0.00025233685,0.00050736574,0.0006772587,0.00017282007,0.000048978993,0.00014630178,0.00011062278,0.000026916758],"category_scores_gemma":[0.000006156551,0.00028093395,0.00015689713,0.0017217064,0.00008047972,0.00019019091,0.000004028813,0.00022388565,0.000007781459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021036194,0.000033786797,0.0001482974,0.000046632533,0.0001951476,0.0000023180573,0.001501638,0.98264784,0.0055274563,0.0000021648784,0.000012859972,0.009860851],"study_design_scores_gemma":[0.00028865258,0.00023467188,0.000066475455,0.00020306975,0.00012534215,0.0000016938609,0.0010804303,0.9319145,0.06575378,6.8649445e-7,0.00008245416,0.00024820914],"about_ca_topic_score_codex":0.00001826171,"about_ca_topic_score_gemma":0.000044291537,"teacher_disagreement_score":0.59736055,"about_ca_system_score_codex":0.00018256756,"about_ca_system_score_gemma":0.000023452669,"threshold_uncertainty_score":0.9999643},"labels":[],"label_agreement":null},{"id":"W2885205809","doi":"10.1109/twc.2018.2860965","title":"A Markov-Modulated End-to-End Delay Analysis of Large-Scale RF Mesh Networks With Time-Slotted ALOHA and FHSS for Smart Grid Applications","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aloha; Computer science; Scalability; Markov chain; Metering mode; Markov process; Distributed computing; Smart grid; Computer network; Throughput; Real-time computing; Wireless; Telecommunications; Mathematics; Engineering","score_opus":0.00854640293225481,"score_gpt":0.23975060627846917,"score_spread":0.23120420334621436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885205809","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":[0.009349118,0.00008047163,0.9877217,0.00011808232,0.000075227814,0.0012439091,0.00072758785,0.0003501132,0.00033381413],"genre_scores_gemma":[0.9399008,0.00022172071,0.057808477,0.000046188812,0.000030429666,0.0012651242,0.00047053618,0.00008079987,0.00017592526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862564,0.00007538914,0.00052502635,0.00031983416,0.0001401678,0.00031393906],"domain_scores_gemma":[0.9973572,0.00035422717,0.00012491245,0.0016661434,0.00034760637,0.00014991166],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021513118,0.00025874443,0.00045548897,0.00057196233,0.0005205515,0.00003390533,0.00046485418,0.00015088766,0.000061582534],"category_scores_gemma":[0.000003091592,0.000275233,0.000115655326,0.0023965964,0.00020438958,0.00019014732,0.00000863191,0.00022496375,0.000011081157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068721,0.00024844636,0.000058034,0.00003706049,0.0012420843,1.0557507e-7,0.00069567503,0.9858642,0.004087473,0.00009754268,0.00016438038,0.0074362755],"study_design_scores_gemma":[0.0005721407,0.00010424872,0.00021349921,0.000060892668,0.0009393232,0.0000039565575,0.000118497774,0.9934905,0.0023024187,0.0000081944345,0.0018884714,0.00029786114],"about_ca_topic_score_codex":0.000049199152,"about_ca_topic_score_gemma":0.0027892767,"teacher_disagreement_score":0.9305517,"about_ca_system_score_codex":0.00009879716,"about_ca_system_score_gemma":0.000030276153,"threshold_uncertainty_score":0.99996996},"labels":[],"label_agreement":null},{"id":"W2885543785","doi":"10.1109/icc.2018.8422501","title":"Pilot Decontamination for Cell-Edge Users in Multi-Cell Massive MIMO Based on Spatial Filter","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Transmission (telecommunications); Enhanced Data Rates for GSM Evolution; Filter (signal processing); MIMO; Human decontamination; Channel (broadcasting); Base station; SIGNAL (programming language); Real-time computing; Electronic engineering; Telecommunications; Computer vision; Engineering","score_opus":0.01854422395448369,"score_gpt":0.2403705116138418,"score_spread":0.2218262876593581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885543785","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":[0.016341737,0.00000751932,0.9776302,0.00001921815,0.0005375224,0.0006800818,0.0000143882635,0.0001449381,0.0046244063],"genre_scores_gemma":[0.9349764,0.0000011287458,0.06381372,0.00007335482,0.00009323817,0.00012027647,0.000048058537,0.00004720797,0.00082659395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993112,0.000018013423,0.00021715148,0.00018911145,0.000062863735,0.00020163853],"domain_scores_gemma":[0.99959266,0.00009657435,0.000041009775,0.0001658314,0.00007026486,0.00003367427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007640077,0.00014366802,0.00012357316,0.00015496033,0.00003073661,0.000017681912,0.00007646028,0.000056422465,0.000090327885],"category_scores_gemma":[0.000029427281,0.00014719756,0.00002963905,0.00008931934,0.000013742681,0.00014615108,0.0000075875378,0.000058359936,0.000069682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013144118,0.00024365477,0.0010159662,0.000207972,0.0000064238443,0.0000024716824,0.000381094,0.9620019,0.031806692,0.000044389144,0.002047831,0.002110164],"study_design_scores_gemma":[0.0024867298,0.00028546012,0.0004113885,0.000031129057,0.000004092868,9.702401e-8,0.000040891926,0.8862977,0.10993599,0.000004934095,0.00033911923,0.00016248677],"about_ca_topic_score_codex":0.000051249637,"about_ca_topic_score_gemma":0.0008777684,"teacher_disagreement_score":0.91863465,"about_ca_system_score_codex":0.00016250418,"about_ca_system_score_gemma":0.000011219312,"threshold_uncertainty_score":0.60025424},"labels":[],"label_agreement":null},{"id":"W2885828982","doi":"10.1109/jsac.2019.2904352","title":"Spatial Deep Learning for Wireless Scheduling","year":2019,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":278,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Scheduling (production processes); Maximization; Wireless network; Wireless; Schedule; Artificial neural network; Channel (broadcasting); Distributed computing; Mathematical optimization; Computer network; Artificial intelligence; Telecommunications","score_opus":0.016669491435120077,"score_gpt":0.2678567553149181,"score_spread":0.251187263879798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885828982","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17765892,0.0005000392,0.81855506,0.00012939384,0.00061415345,0.0004943671,0.0000028569827,0.00024407844,0.0018011595],"genre_scores_gemma":[0.9750921,0.0005442795,0.024023028,0.000019378549,0.000119041564,0.000050422423,0.000027428692,0.000058412494,0.00006591219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989958,0.00011956256,0.00041373624,0.00010919618,0.000112486676,0.00024921034],"domain_scores_gemma":[0.99861336,0.0004332151,0.00013236498,0.0004903401,0.0002644743,0.00006627635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002467983,0.00014025031,0.00020657013,0.00025248824,0.00020463743,0.00006099725,0.00047412852,0.00009963262,0.00001689102],"category_scores_gemma":[0.00014566975,0.0001538838,0.000051448973,0.0004455731,0.000017678614,0.0002156806,0.00002260211,0.0008489612,0.000035239904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016459542,0.000036081412,0.0023852282,0.00001865509,0.000027344091,5.089795e-7,0.00026206367,0.98299277,0.00615885,0.0002477154,0.00001915688,0.007835184],"study_design_scores_gemma":[0.0007577773,0.00006673353,0.00079143845,0.00022121941,0.000009827403,0.000032482254,0.00013225373,0.9950751,0.0011737003,0.00015596258,0.0013924212,0.00019107302],"about_ca_topic_score_codex":0.0000070843475,"about_ca_topic_score_gemma":0.0001236167,"teacher_disagreement_score":0.7974332,"about_ca_system_score_codex":0.00027920125,"about_ca_system_score_gemma":0.000040828403,"threshold_uncertainty_score":0.6275199},"labels":[],"label_agreement":null},{"id":"W2886639928","doi":"10.1109/mownet.2018.8428877","title":"Capacity-Aware Multi-User Massive MIMO for Heterogeneous Cellular Network","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Base station; Heterogeneous network; Omnidirectional antenna; Beamforming; MIMO; Computer network; Relay; Macro; Antenna (radio); Transmission (telecommunications); Cellular network; Maximal-ratio combining; Focus (optics); Spectral efficiency; Wireless; Wireless network; Telecommunications; Fading; Power (physics)","score_opus":0.017633334247594497,"score_gpt":0.22428551013704445,"score_spread":0.20665217588944995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886639928","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":[0.0033762886,0.00011579642,0.99389976,0.000013294117,0.0009202799,0.0005159373,0.000016015847,0.00051309343,0.00062951574],"genre_scores_gemma":[0.7929211,0.0000075248763,0.20361353,0.000062681764,0.00086163596,0.00011026593,0.000029292616,0.000094968265,0.0022989816],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991977,0.000012381368,0.00020575264,0.00018970258,0.00005823927,0.00033617666],"domain_scores_gemma":[0.999497,0.000034416506,0.000033391174,0.00024858315,0.000113711176,0.000072887415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055242956,0.00016587811,0.00016480905,0.000033930202,0.00009340881,0.000022081575,0.00010572549,0.00010922537,0.000087249144],"category_scores_gemma":[0.000013133738,0.00016404707,0.00005952196,0.00009547011,0.00003143648,0.00011142362,0.000018544582,0.000055767094,0.0001043139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005623623,0.0000083919795,0.00008645781,0.00005536476,0.000040148774,0.0000020544344,0.00011432519,0.99146926,0.0039900304,0.0003032349,0.0035763578,0.00034874998],"study_design_scores_gemma":[0.00052423717,0.00005608553,0.000006142824,0.00003075872,0.000016030619,0.0000045667903,0.00003454452,0.9113529,0.06255872,0.00010133666,0.025022482,0.00029224044],"about_ca_topic_score_codex":0.000007820304,"about_ca_topic_score_gemma":0.000090145666,"teacher_disagreement_score":0.79028624,"about_ca_system_score_codex":0.00006880348,"about_ca_system_score_gemma":0.0000050760814,"threshold_uncertainty_score":0.66896456},"labels":[],"label_agreement":null},{"id":"W2886851384","doi":"10.1109/icc.2018.8422541","title":"Pilot Sequence Length and BS Location Optimization in Massive MIMO Heterogeneous Cellular Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; MIMO; Base station; Rayleigh fading; Poisson point process; Heterogeneous network; Multipath propagation; Cellular network; Wireless network; Interference (communication); Stochastic geometry; Cooperative MIMO; Channel (broadcasting); Wireless; Computer network; Fading; Algorithm; Point process; Telecommunications; 3G MIMO; Mathematics; Statistics","score_opus":0.013581469935554216,"score_gpt":0.21745117740946038,"score_spread":0.20386970747390615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886851384","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":[0.009693654,0.00037897256,0.9880394,0.000013230376,0.00030516757,0.00028250218,0.0000010568309,0.00022786342,0.0010581954],"genre_scores_gemma":[0.9652437,0.00013973577,0.03429528,0.000026803913,0.00012358377,0.000026176303,0.000026010006,0.00003698436,0.000081744045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992798,0.000026701016,0.00023148052,0.00020006023,0.00006597085,0.00019599176],"domain_scores_gemma":[0.99962157,0.000025617866,0.000038827202,0.00016859063,0.00009558101,0.000049818595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081648155,0.00013684496,0.00012526658,0.000092603295,0.000043973472,0.000030249745,0.00006344175,0.00006218908,0.00004025028],"category_scores_gemma":[0.000023279797,0.00014766125,0.0000089742325,0.00027820616,0.00004457905,0.00026419992,0.000019418547,0.00007367412,0.000013322517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063034536,0.000006796383,0.00015816613,0.00002215703,0.00000557987,0.0000029117105,0.0000826595,0.99720144,0.0016483411,0.000112510585,0.0000311218,0.0007220114],"study_design_scores_gemma":[0.00025018118,0.00007274052,0.00002293936,0.00004536873,0.00000448125,0.000007033261,0.000028713908,0.99465007,0.004698234,0.000030383324,0.00002984831,0.00016003863],"about_ca_topic_score_codex":0.00003863358,"about_ca_topic_score_gemma":0.0001239223,"teacher_disagreement_score":0.95555,"about_ca_system_score_codex":0.000111691574,"about_ca_system_score_gemma":0.000008563773,"threshold_uncertainty_score":0.6021451},"labels":[],"label_agreement":null},{"id":"W2887526662","doi":"10.1109/icc.2018.8422135","title":"Hybrid Precoder Design with MMSE-VP for Multi-Cell Massive MIMO Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; MIMO; Baseband; Computer science; Minimum mean square error; Algorithm; Channel state information; Kalman filter; Zero-forcing precoding; Control theory (sociology); Channel (broadcasting); Mathematics; Telecommunications; Bandwidth (computing); Wireless; Estimator","score_opus":0.025489129740760546,"score_gpt":0.23257477107342697,"score_spread":0.20708564133266644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887526662","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":[0.00041553538,0.00020222594,0.9940161,0.0000061706137,0.0004848314,0.001440861,0.000015252488,0.00054798054,0.002871039],"genre_scores_gemma":[0.51869816,0.000007032856,0.4758529,0.000012043001,0.00020901141,0.00033551478,0.0000133946,0.000100974714,0.004770965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991526,0.00002165292,0.00023166914,0.00022582659,0.0000803969,0.0002878585],"domain_scores_gemma":[0.9993621,0.00006695334,0.00005527932,0.0002488769,0.00019278191,0.00007397151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009970685,0.00019292622,0.00019775744,0.00006665687,0.000067027766,0.00004431053,0.00010754436,0.000058286776,0.000030929117],"category_scores_gemma":[0.000016510323,0.0001587641,0.000027894695,0.00007988457,0.00002838965,0.00021975453,0.000010062179,0.00005159023,0.00009229383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028161943,0.000022510114,0.000015741194,0.00019289668,0.0000391337,0.0000018437424,0.000139088,0.99156463,0.0032296502,0.00010273212,0.00438697,0.00027663016],"study_design_scores_gemma":[0.00079296634,0.00014797441,0.000001953113,0.00005668061,0.000018941064,0.000009491499,0.00013449488,0.9418537,0.05518049,0.000012713596,0.0015470332,0.00024355325],"about_ca_topic_score_codex":0.0000128769825,"about_ca_topic_score_gemma":0.000011569027,"teacher_disagreement_score":0.51828265,"about_ca_system_score_codex":0.00008850787,"about_ca_system_score_gemma":0.000018199436,"threshold_uncertainty_score":0.64742124},"labels":[],"label_agreement":null},{"id":"W2887861053","doi":"10.1051/matecconf/201818903016","title":"Energy efficiency of cooperative D2D communications underlaying LTE-A networks","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Telecommunications link; Computer science; Cellular network; Resource allocation; Cellular communication; User equipment; Interference (communication); Computer network; Efficient energy use; Radio resource management; Telecommunications; Wireless; Base station; Engineering; Wireless network; Electrical engineering","score_opus":0.02127700094655718,"score_gpt":0.25081593343937136,"score_spread":0.22953893249281418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887861053","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":[0.015639462,0.00069782377,0.9163612,0.000020794412,0.00020731235,0.00009714437,0.000008732824,0.00012214729,0.06684539],"genre_scores_gemma":[0.9973786,0.0002829209,0.0022082245,0.0000059991617,0.000026878513,0.000012208048,0.000011745797,0.000012490456,0.000060920825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936664,0.00003865558,0.00030912302,0.0000861224,0.00007708149,0.00012237571],"domain_scores_gemma":[0.9991922,0.00009114629,0.00010159518,0.00033784687,0.00025214162,0.000025081994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008862988,0.000097692515,0.00020268404,0.000080946906,0.000060046823,0.0000140374705,0.00030523332,0.00006071905,0.00007232299],"category_scores_gemma":[0.000011780486,0.00009259815,0.000022452901,0.00024753017,0.0002553474,0.00009893805,0.000052657575,0.000052809894,0.0000031943207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023817647,0.00012077372,0.0028256322,0.00020489626,0.00017643665,6.1319855e-7,0.0017998876,0.6988572,0.03204744,0.24459165,0.00048134718,0.018870324],"study_design_scores_gemma":[0.00014888517,0.000069520065,0.00005796835,0.00012012094,0.0000104573555,9.553927e-7,0.00045740962,0.97759473,0.020124488,0.00024285115,0.0010565656,0.00011602529],"about_ca_topic_score_codex":0.00008916132,"about_ca_topic_score_gemma":0.00021255389,"teacher_disagreement_score":0.98173916,"about_ca_system_score_codex":0.0000156842,"about_ca_system_score_gemma":0.00008698789,"threshold_uncertainty_score":0.3776043},"labels":[],"label_agreement":null},{"id":"W2888412601","doi":"10.1109/tcsii.2018.2866111","title":"Joint Data and Pilot Power Allocation for Massive MU-MIMO Downlink TDD Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; MIMO; Precoding; Computer science; Base station; Transmitter power output; Spectral efficiency; Power (physics); Coherence time; Transmission (telecommunications); Joint (building); Power budget; Upper and lower bounds; Mathematical optimization; Real-time computing; Electronic engineering; Coherence (philosophical gambling strategy); Computer network; Telecommunications; Mathematics; Power control; Transmitter; Beamforming; Engineering; Statistics; Channel (broadcasting); Physics","score_opus":0.03766114472092851,"score_gpt":0.25144195688636395,"score_spread":0.21378081216543543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888412601","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":[0.0029548556,0.0010306548,0.983919,0.000042047133,0.0063507105,0.0027879742,0.0012620712,0.0008509774,0.0008016999],"genre_scores_gemma":[0.9963967,0.000107198306,0.00083621324,0.000030023812,0.0006085439,0.00093713065,0.00012123618,0.00019413733,0.00076880393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970127,0.00012386857,0.0009940026,0.0009017834,0.00037599076,0.0005916553],"domain_scores_gemma":[0.9973446,0.00018393807,0.00024615353,0.001548622,0.00043399297,0.00024266088],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004740452,0.00051617716,0.0006465905,0.0003220534,0.0005915107,0.00023684512,0.0004900912,0.000271986,0.00001840346],"category_scores_gemma":[0.000030133971,0.00055439165,0.00007628674,0.00032107826,0.00013296245,0.0010122769,0.000009994476,0.00028138573,0.00005270032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059430426,0.00020021315,0.000005248827,0.001360348,0.0004051698,0.0000055830815,0.002064458,0.87869084,0.109313466,0.0006212302,0.004394126,0.0028799148],"study_design_scores_gemma":[0.0035729809,0.0012081432,0.0000389127,0.0020594967,0.00029236524,0.0002086458,0.0016802773,0.9280004,0.01987954,0.000032813885,0.04130701,0.0017194377],"about_ca_topic_score_codex":0.0002025316,"about_ca_topic_score_gemma":0.000053803433,"teacher_disagreement_score":0.9934419,"about_ca_system_score_codex":0.00027198682,"about_ca_system_score_gemma":0.00006919796,"threshold_uncertainty_score":0.9996908},"labels":[],"label_agreement":null},{"id":"W2888578807","doi":"10.48550/arxiv.1808.06761","title":"Stochastic Modeling and Analysis of User-Centric Network MIMO Systems","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Backhaul (telecommunications); Telecommunications link; MIMO; Cluster analysis; Beamforming; Base station; Computer network; Cellular network; Duplex (building); Channel state information; Baseline (sea); Distributed computing; Topology (electrical circuits); Channel (broadcasting); Telecommunications; Mathematics; Wireless; Artificial intelligence","score_opus":0.034778804347395956,"score_gpt":0.1712292459052268,"score_spread":0.13645044155783087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888578807","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":[0.19481395,0.00061686256,0.803406,4.3462572e-7,0.00047892384,0.0002700063,0.000036736088,0.00017027179,0.00020680066],"genre_scores_gemma":[0.9985249,0.00028550703,0.0008326522,0.0000013229921,0.00011547093,0.0000012632487,0.00006919836,0.00004318543,0.00012651716],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878836,0.000054684755,0.0003231818,0.000499085,0.0000550261,0.00027967372],"domain_scores_gemma":[0.9988916,0.00006408443,0.00019093254,0.0005626712,0.0001841424,0.00010659056],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014778723,0.00028048735,0.0006344765,0.0005742603,0.000059619866,0.000029082574,0.00025850997,0.0002811584,0.000009101638],"category_scores_gemma":[0.000019054705,0.00035354405,0.00014566223,0.0012951,0.000048160604,0.00012888832,0.00024801272,0.0002302015,0.0000050483914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011405239,0.000008157324,0.0010785279,0.00024662484,0.0010319811,0.00000808938,0.00006335513,0.99619013,0.000005433707,0.0013170735,0.000028832623,0.000010364997],"study_design_scores_gemma":[0.00018763423,0.000010304794,0.00006269707,0.00020409164,0.0016070198,8.598322e-7,0.00007119392,0.9972678,0.0000013305017,0.00029268587,0.0000055524915,0.00028883028],"about_ca_topic_score_codex":0.00010085716,"about_ca_topic_score_gemma":0.000031386357,"teacher_disagreement_score":0.80371094,"about_ca_system_score_codex":0.00019077183,"about_ca_system_score_gemma":0.000025777965,"threshold_uncertainty_score":0.99989164},"labels":[],"label_agreement":null},{"id":"W2888982783","doi":"10.1109/comst.2018.2867268","title":"Resource Allocation for Ultra-Dense Networks: A Survey, Some Research Issues and Challenges","year":2018,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":195,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Carleton University","funders":"","keywords":"Computer science; Resource allocation; Data science; Quality of service; Management science; Telecommunications; Engineering; Computer network","score_opus":0.17623107604711952,"score_gpt":0.3754966414217938,"score_spread":0.19926556537467427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888982783","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":[0.01840512,0.16902955,0.7824954,0.004365915,0.009905308,0.0075849835,0.0005430524,0.0026235764,0.0050470815],"genre_scores_gemma":[0.9583879,0.031124383,0.0070930915,0.000013673903,0.00207825,0.0005400112,0.00030508917,0.000118593205,0.00033898355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.994607,0.003836801,0.0005684766,0.0003310489,0.0002216311,0.00043504577],"domain_scores_gemma":[0.9920114,0.0046891565,0.000107397944,0.0020620567,0.0010223956,0.00010755341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014459837,0.00021559888,0.0003579861,0.0002207435,0.0005687752,0.000119380966,0.00077691645,0.0002220789,0.000004469933],"category_scores_gemma":[0.0016891445,0.00024149816,0.000039278024,0.00044342183,0.00045890102,0.00041458345,0.000094865645,0.00024415043,0.000027556795],"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":[0.0006709939,0.0014367241,0.0036371667,0.0024013997,0.001994493,0.0000038328208,0.036499355,0.35096052,0.091889456,0.107078776,0.19437616,0.20905112],"study_design_scores_gemma":[0.0035044549,0.00072704186,0.013773328,0.0007892282,0.000118225944,0.000022020773,0.0021083322,0.21038845,0.015829774,0.0067101098,0.7435765,0.002452503],"about_ca_topic_score_codex":0.00033256147,"about_ca_topic_score_gemma":0.0019424593,"teacher_disagreement_score":0.93998283,"about_ca_system_score_codex":0.00014511003,"about_ca_system_score_gemma":0.000039474096,"threshold_uncertainty_score":0.98480093},"labels":[],"label_agreement":null},{"id":"W2889000589","doi":"10.1109/ccece.2018.8447719","title":"Compressive Sensing Based Nuclear Norm Minimization Method for Massive MU-MIMO Channel Estimation","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Compressed sensing; MIMO; Mathematical optimization; Channel (broadcasting); Computer science; Algorithm; Estimator; Convex optimization; Norm (philosophy); Penalty method; Matrix norm; Mathematics; Regular polygon; Eigenvalues and eigenvectors; Telecommunications; Statistics; Physics","score_opus":0.01391028941070994,"score_gpt":0.26327715850842465,"score_spread":0.24936686909771472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889000589","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":[0.0002490118,0.0000109618095,0.99529546,0.0000856284,0.0004783342,0.0006472689,0.000016241022,0.00061322,0.0026038503],"genre_scores_gemma":[0.27874494,0.0000011690537,0.72075325,0.0000915335,0.0001713954,0.000015990243,0.00007867317,0.00007064337,0.000072379786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915147,0.000032013566,0.0002749863,0.00021890686,0.00009721084,0.00022542712],"domain_scores_gemma":[0.9991979,0.00014394415,0.000096768264,0.00020259657,0.00029831837,0.000060490085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010069661,0.00017847479,0.0001949104,0.00013355019,0.00014413786,0.00004494443,0.000070695845,0.00011458151,0.000047855112],"category_scores_gemma":[0.00011381834,0.0001876073,0.00004796508,0.00019227361,0.000027199589,0.0003099497,0.000014340664,0.000054435834,0.000037418224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018803532,0.000006545754,9.4353453e-7,0.0000736217,0.00001794286,4.9545605e-7,0.0003230972,0.98586464,0.0070105405,0.00033639895,0.00096466613,0.0053823004],"study_design_scores_gemma":[0.00059289194,0.00005125112,0.000012871327,0.000064761145,0.000024191773,0.0000028556033,0.00015265348,0.97761494,0.020469593,0.00024757013,0.000552616,0.00021383121],"about_ca_topic_score_codex":0.000012129607,"about_ca_topic_score_gemma":0.000014933832,"teacher_disagreement_score":0.27849594,"about_ca_system_score_codex":0.000112581445,"about_ca_system_score_gemma":0.000012461116,"threshold_uncertainty_score":0.76504034},"labels":[],"label_agreement":null},{"id":"W2889214145","doi":"10.1109/tcc.2018.2867224","title":"User Association in Cloud RANs with Massive MIMO","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Cloud computing; Remote radio head; Optimization problem; Convex optimization; Resource allocation; Base station; Radio access network; Mathematical optimization; User equipment; Transmitter power output; Throughput; Computer network; Distributed computing; Regular polygon; Algorithm; Mathematics; Wireless; Mobile station; Channel (broadcasting)","score_opus":0.007686653918441501,"score_gpt":0.2202210035639929,"score_spread":0.2125343496455514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889214145","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":[0.107965305,0.000014435738,0.88823074,0.000049783695,0.0019809927,0.0002677889,0.000007716466,0.00043280757,0.0010504529],"genre_scores_gemma":[0.99057,0.000007453102,0.008604151,0.000044188673,0.00043790817,0.000014907795,0.0000024139913,0.00006461678,0.0002543726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988075,0.000058832706,0.0003328411,0.00025303222,0.0001908215,0.00035697938],"domain_scores_gemma":[0.9993643,0.00016363914,0.00008798657,0.00021053328,0.0001156727,0.00005786533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019487742,0.00020600566,0.00022549322,0.00017520615,0.00015942179,0.00003797787,0.00011191185,0.00013996557,0.000029647294],"category_scores_gemma":[0.0000070777974,0.00021694302,0.000050043353,0.0005533194,0.000026834643,0.00014416782,8.499878e-7,0.00032703768,0.0000814844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024264129,0.000032283337,0.00019469451,0.000023725102,0.000045601202,0.0000037397476,0.00085680356,0.99500257,0.00075066567,0.0000270618,0.00012402367,0.0029145745],"study_design_scores_gemma":[0.0018252372,0.0001810673,0.00027130076,0.00035123646,0.000042319487,0.000010988292,0.00038539525,0.96578544,0.029905785,0.000041468305,0.000686489,0.0005132447],"about_ca_topic_score_codex":0.00003708432,"about_ca_topic_score_gemma":0.000324487,"teacher_disagreement_score":0.88260466,"about_ca_system_score_codex":0.00054673327,"about_ca_system_score_gemma":0.000021634967,"threshold_uncertainty_score":0.884668},"labels":[],"label_agreement":null},{"id":"W2889218165","doi":"10.1109/spawc.2018.8446030","title":"Distributed Low-Complexity Multi-Cell Coordinated Multicast Beamforming with Large-Scale Antennas","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Beamforming; Multicast; Computer science; Computational complexity theory; Telecommunications link; Computer network; Distributed computing; Electronic engineering; Mathematical optimization; Algorithm; Mathematics; Telecommunications; Engineering","score_opus":0.013116595893539678,"score_gpt":0.2284802344738927,"score_spread":0.21536363858035304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889218165","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":[0.0464776,0.000026877471,0.95021766,0.000011731965,0.00016799373,0.00034645273,0.000098404016,0.00094331574,0.0017099722],"genre_scores_gemma":[0.84937054,0.0000027809965,0.14988111,0.00001672672,0.000065121145,0.000017972518,0.00014561955,0.000059435188,0.0004407251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988836,0.000015187381,0.00027589474,0.00025629843,0.00010399921,0.00046500037],"domain_scores_gemma":[0.999276,0.000022278704,0.00005030471,0.00031308504,0.00021217116,0.00012620278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008763907,0.00023701072,0.00023663638,0.00007004088,0.00014562879,0.000035032685,0.00013976803,0.00009078934,0.00011317601],"category_scores_gemma":[0.000019199515,0.00020165123,0.00003299091,0.00037308526,0.000102502396,0.00030870838,0.000041690404,0.00013046179,0.0001369392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035522663,0.0017016437,0.01406083,0.0014090416,0.00027803463,0.000085229534,0.0050419485,0.7949196,0.17653565,0.00068718824,0.0028108037,0.0021147688],"study_design_scores_gemma":[0.0017831429,0.000058140944,0.0004886963,0.00006384314,0.00001382081,0.000011666931,0.000528945,0.9706617,0.025477445,0.000005106431,0.0005829743,0.00032453594],"about_ca_topic_score_codex":0.000033409073,"about_ca_topic_score_gemma":0.00036043755,"teacher_disagreement_score":0.8028929,"about_ca_system_score_codex":0.000106179636,"about_ca_system_score_gemma":0.000010389535,"threshold_uncertainty_score":0.8223098},"labels":[],"label_agreement":null},{"id":"W2889337290","doi":"10.1109/ccece.2018.8447716","title":"Max-Min Fairness Power Control for Massive MU-MIMO Systems with Finite-Dimensional Channel Model","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Fading; Telecommunications link; Power control; Spectral efficiency; Channel (broadcasting); Constraint (computer-aided design); Computer science; Transmission (telecommunications); Base station; Power (physics); Mathematical optimization; Optimization problem; Control theory (sociology); Optimal control; Mathematics; Control (management); Telecommunications","score_opus":0.009163722728150317,"score_gpt":0.20754092617446376,"score_spread":0.19837720344631343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889337290","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":[0.0013734816,0.000093317,0.99358535,0.000040492898,0.0005753991,0.0010690774,0.00008965743,0.0004265991,0.0027466337],"genre_scores_gemma":[0.9803128,0.0000011460329,0.017194586,0.00006496133,0.00017780048,0.00024254355,0.00003103767,0.000097182725,0.0018779086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988984,0.000014416062,0.00029001327,0.00027443757,0.00016222057,0.00036052283],"domain_scores_gemma":[0.99906653,0.00012102264,0.000068966074,0.00026707698,0.00037629643,0.000100111516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010747442,0.0002499963,0.00030623414,0.00010273821,0.00009074281,0.00003714109,0.00011362632,0.00012700455,0.000028431288],"category_scores_gemma":[0.000032460917,0.00020265763,0.000045328015,0.00012765355,0.000047840305,0.0002606071,0.000014904644,0.000073660914,0.00005125126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075652926,0.0000134892725,0.000007897216,0.00007073801,0.000061108716,0.0000020570196,0.00015611872,0.9958018,0.0008636577,0.0019016642,0.001027408,0.000018411418],"study_design_scores_gemma":[0.0016202483,0.00013425617,0.0000045582465,0.00008645848,0.000022988586,0.000008605588,0.00020865601,0.9965843,0.00070825755,0.00015802664,0.0001637583,0.00029988572],"about_ca_topic_score_codex":0.000010952847,"about_ca_topic_score_gemma":0.000021862892,"teacher_disagreement_score":0.97893935,"about_ca_system_score_codex":0.00009220617,"about_ca_system_score_gemma":0.000030063447,"threshold_uncertainty_score":0.8264138},"labels":[],"label_agreement":null},{"id":"W2889358071","doi":"10.1109/spawc.2018.8445781","title":"Low-Complexity Design of Decode-Forward Relaying in Massive MIMO Heterogeneous Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"","keywords":"Codebook; Decoding methods; Computer science; Transmission (telecommunications); MIMO; Base station; Telecommunications link; Computer network; Joint (building); Decodes; Scheme (mathematics); Set (abstract data type); Algorithm; Topology (electrical circuits); Telecommunications; Channel (broadcasting); Mathematics; Engineering","score_opus":0.022665132639085536,"score_gpt":0.23899275217306407,"score_spread":0.21632761953397853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889358071","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":[0.017766336,0.00011426261,0.97978836,0.0000041520266,0.0002514836,0.00028143395,0.0000015929047,0.00017689078,0.0016154727],"genre_scores_gemma":[0.9006022,0.00002582501,0.09918428,0.000014037911,0.00007337572,0.000016798074,0.0000038579124,0.000037188467,0.000042420303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991083,0.000038573406,0.00035916347,0.00016158822,0.0000760653,0.000256301],"domain_scores_gemma":[0.99953336,0.00006307776,0.000057452646,0.00022862351,0.000069076625,0.000048422426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013739063,0.0001392782,0.00022496356,0.00009958722,0.000028779245,0.000009428879,0.000117195246,0.000102987986,0.000077041936],"category_scores_gemma":[0.000030694693,0.00014320007,0.000033189535,0.00023426344,0.00005537344,0.00013409999,0.000027598235,0.00009020081,0.000021798553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013720463,0.00000881928,0.00028446672,0.000030385461,0.000011361509,0.0000041223584,0.00011721094,0.9970977,0.0013101752,0.00012732872,0.00009293256,0.0009018205],"study_design_scores_gemma":[0.00026185642,0.000040829207,0.00007750924,0.0000653244,0.000004502259,0.000005717836,0.00003402048,0.98148984,0.017587693,0.0002683368,0.00001429527,0.00015008033],"about_ca_topic_score_codex":0.000021770988,"about_ca_topic_score_gemma":0.00009516546,"teacher_disagreement_score":0.88283587,"about_ca_system_score_codex":0.00010399798,"about_ca_system_score_gemma":0.000008681837,"threshold_uncertainty_score":0.58395296},"labels":[],"label_agreement":null},{"id":"W2889448267","doi":"10.1109/spawc.2018.8446039","title":"Robust Downlink Transmission: An Offset-Based Single-Rate-Splitting Approach","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Offset (computer science); Computer science; Electronic engineering; Transmission (telecommunications); Computer network; Telecommunications; Engineering","score_opus":0.033361616757908115,"score_gpt":0.21962698447379184,"score_spread":0.18626536771588373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889448267","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":[0.0032077113,0.000054426546,0.9648287,0.000029196006,0.00018701202,0.00021828889,0.0000027352646,0.0010796547,0.030392228],"genre_scores_gemma":[0.6277613,0.0000016283922,0.37154272,0.000051857958,0.00027356058,0.00001564193,0.000061685125,0.00005391671,0.00023765914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990219,0.000040103867,0.00029186724,0.00026874483,0.000101917365,0.0002754583],"domain_scores_gemma":[0.9993981,0.000030041656,0.000033192733,0.0003140033,0.00009244372,0.00013218941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019761466,0.00018788871,0.00017057902,0.000086622334,0.00010853833,0.000048318016,0.00013828157,0.00012835083,0.00009861921],"category_scores_gemma":[0.00001431044,0.00017226605,0.00003857198,0.00026856433,0.00004090439,0.00031937318,0.000007179885,0.00010986871,0.000033910183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009300575,0.000048101334,0.000022991127,0.00007762849,0.000007913404,0.0000011485348,0.00019234123,0.9689948,0.018006,0.00017371432,0.00022939943,0.012236662],"study_design_scores_gemma":[0.0003524524,0.00006996457,0.000014105817,0.000035232395,0.000008215518,0.0000042088554,0.00012397287,0.97340393,0.023390288,0.00002027787,0.0023405545,0.00023680588],"about_ca_topic_score_codex":0.0000070737965,"about_ca_topic_score_gemma":0.00000778568,"teacher_disagreement_score":0.6245536,"about_ca_system_score_codex":0.00007202646,"about_ca_system_score_gemma":0.000015655829,"threshold_uncertainty_score":0.70248055},"labels":[],"label_agreement":null},{"id":"W2889647937","doi":"10.1109/icassp.2018.8462123","title":"Low-Complexity Weighted Mrt Multicast Beamforming in Massive Mimo Cellular Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multicast; Beamforming; MIMO; Computer science; Telecommunications link; Computational complexity theory; Precoding; Transmission (telecommunications); Computer network; Mathematical optimization; Algorithm; Mathematics; Telecommunications","score_opus":0.012112368036567744,"score_gpt":0.22096395436811528,"score_spread":0.20885158633154755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889647937","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":[0.039039355,0.000057943118,0.9509245,0.000013707687,0.00047523584,0.00028810158,0.0000023072332,0.0003724213,0.00882642],"genre_scores_gemma":[0.923584,0.000009224476,0.07580404,0.00002289185,0.0002776475,0.000019406822,0.000022904078,0.000046787292,0.00021309372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901175,0.000018653729,0.0003207155,0.00020193127,0.00008497573,0.0003619706],"domain_scores_gemma":[0.9995403,0.000034133078,0.00003652359,0.0002482125,0.00006543213,0.00007536436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009196408,0.0001764993,0.00019776997,0.00012131877,0.000056467685,0.000022108972,0.00012187699,0.00011727633,0.000207647],"category_scores_gemma":[0.000016285985,0.00017649091,0.00003263732,0.0003445015,0.00006630174,0.00025190756,0.000036945552,0.00014898101,0.00010278727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013084516,0.000034508037,0.00052144093,0.00006791971,0.000018537497,0.000015218332,0.00043277562,0.9862144,0.008516553,0.0013962723,0.00029063073,0.0024786412],"study_design_scores_gemma":[0.00039216012,0.000016908014,0.00011337766,0.00006291796,0.000004156654,0.0000020679288,0.00010939869,0.9803996,0.018211726,0.00014366405,0.00032660196,0.00021744154],"about_ca_topic_score_codex":0.000039018956,"about_ca_topic_score_gemma":0.00020970621,"teacher_disagreement_score":0.8845447,"about_ca_system_score_codex":0.00014060739,"about_ca_system_score_gemma":0.000006523016,"threshold_uncertainty_score":0.71970904},"labels":[],"label_agreement":null},{"id":"W2891164203","doi":"10.1007/s10909-018-2057-2","title":"Design and Bolometer Characterization of the SPT-3G First-Year Focal Plane","year":2018,"lang":"en","type":"article","venue":"Journal of Low Temperature Physics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Three-Speed Logic (Canada); Canadian Institute for Theoretical Astrophysics; University of Toronto; Canadian Institute for Advanced Research; McGill University","funders":"Argonne National Laboratory; Natural Sciences and Engineering Research Council of Canada; Office of Science; Canada Research Chairs; Fermilab; McGill University; Gordon and Betty Moore Foundation; U.S. Department of Energy; University of Chicago; National Science Foundation","keywords":"Bolometer; Characterization (materials science); Cardinal point; Focal Plane Arrays; Physics; Plane (geometry); Optics; Detector","score_opus":0.006042675143473791,"score_gpt":0.19031333061666597,"score_spread":0.18427065547319219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891164203","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":[0.5701109,0.00008577909,0.4287273,0.00006674543,0.0007701541,0.00017054247,0.000009789147,0.00001953803,0.000039256236],"genre_scores_gemma":[0.99244064,0.000057883237,0.006752762,0.000022063745,0.0006735421,0.0000011054958,0.000002946674,0.000023447716,0.00002560963],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945164,0.000030733205,0.00024594748,0.00005616883,0.00012607459,0.00008945677],"domain_scores_gemma":[0.9995002,0.000032289674,0.00016417258,0.00011616031,0.00015500814,0.000032135024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000992343,0.00009894692,0.00017621326,0.000032122185,0.0000462158,0.000023566683,0.000095870455,0.000072502,0.000004468563],"category_scores_gemma":[0.00001829772,0.000067810615,0.00003945616,0.00016239313,0.000041018007,0.00026212758,0.000013862647,0.00016998895,0.0000014837235],"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":[0.000044457553,0.00002165418,0.0003196528,0.00010062166,0.00005304088,0.0000017018905,0.0006728792,0.03640915,0.9616258,0.000086748085,0.00033286406,0.0003314146],"study_design_scores_gemma":[0.0010974108,0.0003671449,0.004120494,0.0006835251,0.000069513175,0.00011469113,0.000057663554,0.028868658,0.9632347,0.00042520714,0.000679772,0.00028120496],"about_ca_topic_score_codex":1.6789402e-7,"about_ca_topic_score_gemma":2.696583e-7,"teacher_disagreement_score":0.42232975,"about_ca_system_score_codex":0.000026377862,"about_ca_system_score_gemma":0.000014177495,"threshold_uncertainty_score":0.27652368},"labels":[],"label_agreement":null},{"id":"W2891613953","doi":"10.1109/lwc.2018.2869152","title":"Joint Antenna Selection and Power Allocation for an Energy-efficient Massive MIMO System","year":2018,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Telecommunications link; Mathematical optimization; Precoding; MIMO; Computer science; Optimization problem; Channel state information; Iterative method; Efficient energy use; Transmitter power output; Channel (broadcasting); Mathematics; Wireless; Telecommunications; Transmitter; Engineering","score_opus":0.018152894794548558,"score_gpt":0.23691020907730306,"score_spread":0.2187573142827545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891613953","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":[0.11349262,0.00012321463,0.88447183,0.0004253836,0.00037740014,0.0004121233,0.000015659036,0.00048138882,0.00020034234],"genre_scores_gemma":[0.97806144,0.000041946336,0.021186545,0.00012972453,0.00010970389,0.00032964526,0.00006503613,0.0000628003,0.0000131393135],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990243,0.000091729264,0.00034095036,0.00022490376,0.00009303493,0.00022512543],"domain_scores_gemma":[0.99866414,0.00006343878,0.000112750335,0.00084847654,0.00023641501,0.000074762385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016816825,0.00017727604,0.00018275522,0.00017675085,0.00036078767,0.00006258037,0.00028995928,0.00008525861,0.0000013212406],"category_scores_gemma":[0.00001021898,0.00019928958,0.000037616617,0.00025619406,0.00012049523,0.00023840496,0.000034644436,0.00009889091,0.0000065550753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017006252,0.00006167313,0.00003765868,0.000115659976,0.00007285411,2.5260246e-7,0.0013985519,0.28206223,0.7055602,0.0075576585,0.0008866995,0.002229535],"study_design_scores_gemma":[0.00029384656,0.00005447587,0.000068783345,0.00010504278,0.000022034885,0.000012898537,0.00044004578,0.9852949,0.012810391,0.0000086282735,0.0006656084,0.00022337041],"about_ca_topic_score_codex":0.000049773244,"about_ca_topic_score_gemma":0.00013811463,"teacher_disagreement_score":0.8645688,"about_ca_system_score_codex":0.00026507117,"about_ca_system_score_gemma":0.0000137679945,"threshold_uncertainty_score":0.8126793},"labels":[],"label_agreement":null},{"id":"W2892200077","doi":"10.1109/mvt.2018.2865830","title":"4G\\/5G Spectrum Sharing: Efficient 5G Deployment to Serve Enhanced Mobile Broadband and Internet of Things Applications","year":2018,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Engineering and Physical Sciences Research Council","keywords":"Telecommunications link; Mobile broadband; Computer network; Computer science; Broadband; Radio access technology; 3rd Generation Partnership Project 2; Telecommunications; User equipment; Mobile telephony; Spectral efficiency; Bandwidth (computing); Base station; Mobile radio; Wireless; Beamforming","score_opus":0.0049440200233710875,"score_gpt":0.22106863681803288,"score_spread":0.2161246167946618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892200077","genre_codex":"methods","genre_gemma":"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":[0.4777567,0.00031143584,0.51989263,0.00007864921,0.00012639219,0.0007849738,0.0000041675617,0.0005996051,0.00044541073],"genre_scores_gemma":[0.9907605,0.0000277888,0.0083529735,0.000030552113,0.000051048442,0.0004737427,0.0000074197906,0.000055553694,0.00024043856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882233,0.0000076005535,0.00036687023,0.000402579,0.00010808113,0.00029256463],"domain_scores_gemma":[0.9991795,0.000013588362,0.000085432526,0.0005438775,0.0001076774,0.00006993727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001081691,0.0002107443,0.00028785114,0.00040367362,0.00004553018,0.000020324527,0.00034684225,0.00017377525,0.000026045409],"category_scores_gemma":[0.000016791271,0.00022022052,0.000033874094,0.0006874476,0.00014635557,0.000094533636,0.0001047532,0.00016973435,0.00015439301],"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":[0.000018570681,0.00009043993,0.0004203305,0.0001820342,0.000089455476,0.000005772817,0.0004927408,0.19794573,0.79279864,0.001181584,0.00030389454,0.0064708],"study_design_scores_gemma":[0.00043359923,0.00026508758,0.00006908328,0.00010556312,0.000029717821,0.00003150298,0.00004874755,0.119012855,0.87495893,0.00044538116,0.0043324567,0.00026706824],"about_ca_topic_score_codex":0.00000908902,"about_ca_topic_score_gemma":0.00002375557,"teacher_disagreement_score":0.51300377,"about_ca_system_score_codex":0.000101479905,"about_ca_system_score_gemma":0.000007951078,"threshold_uncertainty_score":0.89803326},"labels":[],"label_agreement":null},{"id":"W2892311579","doi":"10.1109/twc.2018.2858242","title":"Outage Probability Analysis and Resolution Profile Design for Massive MIMO Uplink With Mixed-ADC","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Youth Science Foundation of Jiangxi Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; MIMO; Coverage probability; Base station; Sorting; Outage probability; Energy consumption; Signal-to-noise ratio (imaging); Interference (communication); Transmitter power output; Algorithm; Mathematical optimization; Electronic engineering; Transmitter; Mathematics; Statistics; Telecommunications; Decoding methods; Channel (broadcasting); Electrical engineering; Fading; Engineering","score_opus":0.02963730955265967,"score_gpt":0.2584266335198811,"score_spread":0.22878932396722143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892311579","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":[0.005228192,0.000070877744,0.9923145,0.00017928328,0.00009890164,0.001385364,0.0001248272,0.0003997457,0.00019831407],"genre_scores_gemma":[0.73784286,0.00009577823,0.26086587,0.000008297123,0.000015156625,0.0009993083,0.000039576124,0.000038043723,0.000095113915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989325,0.00012095597,0.00033382198,0.00028138643,0.00009866857,0.00023268735],"domain_scores_gemma":[0.9978788,0.00032796053,0.00008857886,0.001325437,0.0002944772,0.00008478463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022256174,0.00020620192,0.00027099365,0.00027619005,0.00058940693,0.00004609448,0.00030301075,0.00012262298,0.000014161927],"category_scores_gemma":[0.000008842374,0.00020392946,0.00008203866,0.0008597532,0.00028707695,0.00026712666,0.0000036915592,0.0002072362,0.000010641788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008944366,0.00016071947,0.00004516075,0.00007736866,0.0004863684,1.6238539e-7,0.00070919,0.98591393,0.0022973458,0.00043527386,0.000061174826,0.009723873],"study_design_scores_gemma":[0.00047247013,0.00017350898,0.00012859753,0.00005162957,0.00042051845,0.0000022890115,0.00014121969,0.9810893,0.01695522,0.00015857119,0.00014881702,0.00025785688],"about_ca_topic_score_codex":0.000030526644,"about_ca_topic_score_gemma":0.0008532894,"teacher_disagreement_score":0.73261464,"about_ca_system_score_codex":0.0001682967,"about_ca_system_score_gemma":0.000036541576,"threshold_uncertainty_score":0.8316002},"labels":[],"label_agreement":null},{"id":"W2893192565","doi":"10.1109/lwc.2018.2871677","title":"Double Shadowing the Rician Fading Model","year":2018,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Khalifa University of Science, Technology and Research; Queen's University; Queen's University Belfast; Department for the Economy","keywords":"Nakagami distribution; Rician fading; Notation; Inverse; Fading; Mathematics; Envelope (radar); Algorithm; Computer science; Discrete mathematics; Telecommunications; Arithmetic; Geometry","score_opus":0.03218998593421339,"score_gpt":0.2621793640646779,"score_spread":0.2299893781304645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893192565","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":[0.058556113,0.00020157265,0.92965305,0.002402102,0.00036769474,0.0003017569,0.0000051933885,0.0005659392,0.007946604],"genre_scores_gemma":[0.9813929,0.00007936421,0.017504232,0.0006481619,0.00013030201,0.00010511308,0.00001236196,0.000055787423,0.00007178407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992283,0.000041932435,0.00025639476,0.0001287289,0.0001010024,0.00024364796],"domain_scores_gemma":[0.998086,0.00008160334,0.0000535351,0.0016795822,0.000060488735,0.000038813694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015952405,0.0001430697,0.00012577233,0.000087813016,0.00051800866,0.000065992856,0.0010418468,0.000051606636,0.00000406311],"category_scores_gemma":[0.000004969253,0.00013019267,0.000047449725,0.00033483203,0.0001954264,0.00030520328,0.00008999121,0.00023599032,0.0000816758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024733247,0.0000084127505,0.000046751942,0.000010619441,0.000028080349,2.3160761e-7,0.0018354941,0.93604743,0.05611392,0.0019100333,0.0022038245,0.0017927269],"study_design_scores_gemma":[0.00020022452,0.0000029360453,0.000011985784,0.000044489574,0.000012635675,0.0000035435755,0.0001364731,0.9931685,0.004263227,0.000051892293,0.0019393058,0.00016479417],"about_ca_topic_score_codex":0.000034450437,"about_ca_topic_score_gemma":0.00009927521,"teacher_disagreement_score":0.9228368,"about_ca_system_score_codex":0.0001322135,"about_ca_system_score_gemma":0.000010275982,"threshold_uncertainty_score":0.5309103},"labels":[],"label_agreement":null},{"id":"W2894036243","doi":"10.1109/tnsm.2019.2912526","title":"Smart Roaming: How Operator Cooperation Can Increase Spectrum Usage Efficiency at Practically No Cost","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Roaming; Computer science; Operator (biology); Snapshot (computer storage); Base station; Computer network; Cellular network; Personalization; Telecommunications link; Hotspot (geology); Telecommunications; Distributed computing; World Wide Web; Database","score_opus":0.006023510330360445,"score_gpt":0.1911303525689301,"score_spread":0.18510684223856966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894036243","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":[0.03382187,0.00006496758,0.9529865,0.0008816776,0.0013488255,0.0015688093,0.000016870725,0.00032890958,0.008981566],"genre_scores_gemma":[0.99328303,0.00047057105,0.0025961748,0.000683406,0.00009064542,0.00013972067,0.000027402244,0.000058596008,0.0026504244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988813,0.00005275733,0.00021985844,0.00033386782,0.00016585812,0.0003463768],"domain_scores_gemma":[0.9993867,0.00005065899,0.000040815914,0.00033450138,0.000059578764,0.00012771675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001635373,0.00024160986,0.00019901259,0.00008920775,0.00024437037,0.00012297988,0.0001103213,0.00007828535,0.0001351826],"category_scores_gemma":[0.0000012159633,0.00025017263,0.00003356767,0.00040854697,0.0000120746845,0.00025166845,0.0000055811747,0.00016981979,0.00019495047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004693923,0.00004842851,0.000027928207,0.00017004281,0.000067009496,0.000007319828,0.00011430707,0.99685174,0.00034751755,0.00009295883,0.00034833408,0.0018774484],"study_design_scores_gemma":[0.0010514202,0.00011888805,0.00010387406,0.00012213926,0.00009225395,0.000010884317,0.00014211537,0.9724241,0.00066640845,0.0000045249776,0.024846284,0.00041713312],"about_ca_topic_score_codex":0.000032988803,"about_ca_topic_score_gemma":0.0008056834,"teacher_disagreement_score":0.9594612,"about_ca_system_score_codex":0.00021025827,"about_ca_system_score_gemma":0.000011046666,"threshold_uncertainty_score":0.99999505},"labels":[],"label_agreement":null},{"id":"W2894564570","doi":"10.1109/tcomm.2018.2873735","title":"Joint User Scheduling and RRU Association for ODFMA-Based Networks With Inter-BBU Coordination","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Joint (building); Association (psychology); Computer network; Distributed computing; Engineering; Operations management","score_opus":0.020691434397632675,"score_gpt":0.24778567525383596,"score_spread":0.22709424085620328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2894564570","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":[0.001137933,0.00007768008,0.9963745,0.00064421125,0.00027121304,0.0005779065,0.00003077364,0.00037585633,0.00050994655],"genre_scores_gemma":[0.9034835,0.000067112305,0.095657974,0.000058318365,0.00004810994,0.0003518494,0.000033685224,0.000052460906,0.00024698282],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923414,0.000057276004,0.00027262207,0.00016080892,0.00008697301,0.0001882081],"domain_scores_gemma":[0.99860156,0.00029348876,0.000098933764,0.0006366724,0.000312877,0.00005648675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000209926,0.00015377635,0.00015768262,0.000166804,0.00044410996,0.000062996376,0.00017409996,0.00012045403,0.0000094324],"category_scores_gemma":[0.000016857894,0.00016348693,0.000045496414,0.00030400217,0.0000735353,0.0002703499,0.0000020364282,0.00022999066,0.000008416492],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002017562,0.000059230482,0.000034888984,0.000023009274,0.00006708957,4.0208334e-8,0.00014776271,0.9950853,0.00075102644,0.00020654891,0.00018156534,0.0034233707],"study_design_scores_gemma":[0.0007289019,0.00012532448,0.000044232158,0.000117793905,0.000066376444,0.0000016729731,0.00009576042,0.99170697,0.0044490625,0.00004005834,0.0024344283,0.00018940175],"about_ca_topic_score_codex":0.000014944022,"about_ca_topic_score_gemma":0.00040212023,"teacher_disagreement_score":0.9023456,"about_ca_system_score_codex":0.00029696274,"about_ca_system_score_gemma":0.000022797265,"threshold_uncertainty_score":0.66668034},"labels":[],"label_agreement":null},{"id":"W2895792075","doi":"10.1002/cpe.5035","title":"Optimal matching between energy saving and traffic load for mobile multimedia communication","year":2018,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"National Natural Science Foundation of China","keywords":"Cellular network; Computer science; Operating expense; Cellular traffic; Maximization; Energy consumption; Computer network; Base station; Capital expenditure; Matching (statistics); Minification; Mobile telephony; Energy (signal processing); Efficient energy use; Telecommunications; Mobile radio; Engineering; Mathematical optimization","score_opus":0.016490010716010785,"score_gpt":0.3060330158584909,"score_spread":0.2895430051424801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895792075","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":[0.36323556,0.00294139,0.63336533,0.00002277208,0.000101710066,0.00014550173,0.000003890777,0.000078172074,0.000105676394],"genre_scores_gemma":[0.94822264,0.00069453684,0.050852574,0.000026120028,0.00007242239,0.00009244982,0.000020696918,0.00001169223,0.0000068971112],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994118,0.0000359555,0.00019854012,0.00017305752,0.00006384419,0.00011676108],"domain_scores_gemma":[0.999169,0.00048342787,0.00008148156,0.00007961985,0.00012917469,0.000057290577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013864292,0.00010450234,0.00011780198,0.00003379646,0.00025097432,0.00008263953,0.0000482488,0.000050577954,0.0000020561413],"category_scores_gemma":[0.000089289635,0.00011458006,0.000008757698,0.00007445113,0.00011780178,0.0009519846,0.000029848683,0.00006220633,7.994545e-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":[0.00003624652,0.000025882915,0.0001457523,0.00013192485,0.000032495147,7.090546e-7,0.07778286,0.11140596,0.0011396831,0.0006342575,0.00008862004,0.80857563],"study_design_scores_gemma":[0.0006389416,0.00014416198,0.00017420763,0.00009285595,0.00003095413,0.000024311094,0.010419626,0.9819675,0.00052026514,0.00016153586,0.005569026,0.00025661557],"about_ca_topic_score_codex":0.000015411202,"about_ca_topic_score_gemma":0.000004598486,"teacher_disagreement_score":0.87056154,"about_ca_system_score_codex":0.00001950869,"about_ca_system_score_gemma":0.00001286234,"threshold_uncertainty_score":0.46724394},"labels":[],"label_agreement":null},{"id":"W2895946039","doi":"10.1109/access.2018.2874815","title":"A Distributed Mode Selection Approach Based on Evolutionary Game for Device-to-Device Communications","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Quality of service; Throughput; User equipment; Computer network; Relay; Cellular network; Selection (genetic algorithm); Mode (computer interface); Distributed computing; Wireless; Base station; Telecommunications; Artificial intelligence; Power (physics)","score_opus":0.04476475852158515,"score_gpt":0.3290230920185644,"score_spread":0.28425833349697927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895946039","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":[0.0027414667,0.000033643075,0.99379253,0.000121191464,0.00025510383,0.00086073176,0.00015185431,0.0004988219,0.0015446792],"genre_scores_gemma":[0.924585,0.0000038704707,0.07389826,0.00018215168,0.00023252779,0.00064823165,0.00036724267,0.00005077888,0.00003195062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916726,0.00003433589,0.00024128753,0.0002172311,0.000109601104,0.00023028432],"domain_scores_gemma":[0.9988479,0.00010341243,0.00005398206,0.00055803877,0.00036029902,0.00007638348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090843074,0.00015299905,0.000148456,0.00014207589,0.00017487849,0.000056263336,0.00049581024,0.000090621295,0.0000058758837],"category_scores_gemma":[0.00007113175,0.00016983216,0.000040100982,0.00063482363,0.000030960724,0.00037215068,0.000032154025,0.00010411216,0.000030209803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027872311,0.000053400956,0.0001481933,0.00006878278,0.000015577833,4.714093e-8,0.000057998954,0.99368376,0.0010983604,0.00012693291,0.004271357,0.000447709],"study_design_scores_gemma":[0.00034276122,0.000048437585,0.00038190844,0.0000470068,0.000017311393,0.0000014548589,0.000014818901,0.9906021,0.0024768135,0.000101616446,0.005776048,0.00018975307],"about_ca_topic_score_codex":0.000035883368,"about_ca_topic_score_gemma":0.000072797084,"teacher_disagreement_score":0.9218435,"about_ca_system_score_codex":0.00028091326,"about_ca_system_score_gemma":0.00003261298,"threshold_uncertainty_score":0.6925554},"labels":[],"label_agreement":null},{"id":"W2896150415","doi":"10.1109/bsc.2018.8494706","title":"A New Look at Optimum Macro Base Station Deployment in Heterogeneous Massive MIMO Networks for Eliminating Interference","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Base station; Macro; MIMO; Interference (communication); Computer network; Heterogeneous network; Flexibility (engineering); Poisson point process; User equipment; Cellular network; Process (computing); Distributed computing; Point process; Wireless; Telecommunications; Wireless network; Channel (broadcasting); Mathematics","score_opus":0.012731733073251194,"score_gpt":0.2444519670642432,"score_spread":0.23172023399099198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896150415","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":[0.014121409,0.00012442961,0.98406065,0.000024974752,0.0003600375,0.0006264039,0.0000071658274,0.00022138612,0.00045353494],"genre_scores_gemma":[0.8369467,0.000018482677,0.1619605,0.000042957046,0.00015109695,0.00010670205,0.00003292978,0.000054649667,0.0006859381],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903023,0.000017979402,0.0003344738,0.000237376,0.00006828053,0.00031166148],"domain_scores_gemma":[0.9995127,0.00008547724,0.00006315987,0.00017364709,0.000082518614,0.000082549814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008583339,0.0001712944,0.00015836697,0.00009272763,0.00004964747,0.000030394345,0.000097629374,0.00007750772,0.000106337306],"category_scores_gemma":[0.00003513339,0.00018005545,0.000033215954,0.0001269352,0.000014933812,0.00017519605,0.000046616915,0.00006367283,0.000020311576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000371571,0.000006875892,0.000121604986,0.000037246038,0.000012510717,0.000003318293,0.00036618035,0.9845099,0.00225798,0.000051107432,0.0007022273,0.011893924],"study_design_scores_gemma":[0.00059912796,0.000121872945,0.00001536514,0.00009427152,0.000007580263,0.000005731351,0.000102951366,0.97241944,0.026278665,0.000067356086,0.0000954048,0.00019222975],"about_ca_topic_score_codex":0.000042919786,"about_ca_topic_score_gemma":0.00091569516,"teacher_disagreement_score":0.8228253,"about_ca_system_score_codex":0.00038215212,"about_ca_system_score_gemma":0.000014202105,"threshold_uncertainty_score":0.73424476},"labels":[],"label_agreement":null},{"id":"W2896261577","doi":"10.25103/jestr.073.17","title":"Capacity and Performance of MIMO systems for Wireless Communications","year":2014,"lang":"en","type":"article","venue":"Journal of Engineering Science and Technology Review","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"MIMO; Channel capacity; Multi-user MIMO; Wireless; Channel (broadcasting); Computer science; 3G MIMO; Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.014089820076182112,"score_gpt":0.23744034213740625,"score_spread":0.22335052206122413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896261577","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":[0.45394993,0.2567837,0.2876039,0.00046761896,0.0004185297,0.0005632315,0.0000035486753,0.000121251986,0.00008827429],"genre_scores_gemma":[0.92343324,0.064203165,0.012331584,0.0000041168746,0.000010505825,0.000009631728,1.09846496e-7,0.000006244805,0.0000013705704],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994743,0.000004210995,0.00030092438,0.00005320159,0.00007161057,0.00009575622],"domain_scores_gemma":[0.99930197,0.000046498193,0.00012459989,0.00019804311,0.0002976769,0.000031203155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077495555,0.000062438485,0.0002574455,0.00020642053,0.000042805033,0.000007658171,0.00023967557,0.000039423132,9.2235126e-8],"category_scores_gemma":[0.00025296473,0.00005312841,0.000013061376,0.00043745784,0.00017008313,0.00020786726,0.000027986805,0.0001023268,9.051244e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001205613,0.00009568769,0.012131738,0.09508705,0.00023711236,0.0000015726405,0.0003603125,0.2506357,0.19649035,0.101221286,0.00060285674,0.34312424],"study_design_scores_gemma":[0.00022253553,0.00018960527,0.00022417885,0.006963258,0.0000502496,0.0002759133,0.000018915604,0.98217523,0.0026504681,0.000041867683,0.007041175,0.00014662302],"about_ca_topic_score_codex":2.550861e-7,"about_ca_topic_score_gemma":1.1259209e-7,"teacher_disagreement_score":0.7315395,"about_ca_system_score_codex":0.000023044955,"about_ca_system_score_gemma":0.00001423782,"threshold_uncertainty_score":0.21665137},"labels":[],"label_agreement":null},{"id":"W2897797272","doi":"10.1109/mcom.2018.1800060","title":"Dynamic Spectrum Management through Resource Virtualization with M2M Communications","year":2018,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Computer network; Wireless; Virtualization; Quality of service; Radio resource management; Spectrum management; Wireless network; Distributed computing; Cognitive radio; Telecommunications; Cloud computing","score_opus":0.01768597393426324,"score_gpt":0.2668772197996251,"score_spread":0.24919124586536184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897797272","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":[0.00030849568,0.0008065939,0.82736635,0.0011395956,0.00017103589,0.00065602624,0.00002480418,0.0009847224,0.1685424],"genre_scores_gemma":[0.7296839,0.0020652863,0.26534525,0.0001459636,0.000060233637,0.00024291627,0.00044104081,0.00012489593,0.0018905483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875766,0.00012258708,0.00043834883,0.00023132318,0.00016377131,0.00028628673],"domain_scores_gemma":[0.9941701,0.0000938975,0.00012413655,0.0054055727,0.00014478675,0.00006150227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001592592,0.00024523863,0.00021082241,0.0001756904,0.00047505184,0.000065630375,0.001684321,0.00008092592,0.000036885544],"category_scores_gemma":[0.000012084408,0.00025677017,0.00003890198,0.00095612963,0.0004535951,0.00043415042,0.00030663013,0.00023324978,0.00048340595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016751872,0.0013662482,0.00052583695,0.00067597383,0.0012554844,0.000013119539,0.010556198,0.6794101,0.009259206,0.21354263,0.060740877,0.022486802],"study_design_scores_gemma":[0.00090420636,0.00012430747,0.0003685775,0.0002433471,0.0001123825,0.00003419527,0.00045241963,0.6130466,0.00065417687,0.0019815657,0.38148385,0.00059439585],"about_ca_topic_score_codex":0.000009229592,"about_ca_topic_score_gemma":0.0006303832,"teacher_disagreement_score":0.72937536,"about_ca_system_score_codex":0.00023963489,"about_ca_system_score_gemma":0.000014432176,"threshold_uncertainty_score":0.99998844},"labels":[],"label_agreement":null},{"id":"W2898571189","doi":"10.1145/3265863.3265878","title":"An Analysis of User Mobility in Cellular Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Cellular network; Human–computer interaction","score_opus":0.005686269671430813,"score_gpt":0.22315552432373073,"score_spread":0.2174692546522999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898571189","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":[0.32978836,0.000018568408,0.6691796,4.2423017e-7,0.000039897815,0.000047379108,7.409242e-7,0.000056132147,0.00086885266],"genre_scores_gemma":[0.9932495,0.0000033439048,0.006656357,0.0000033090732,0.000027198841,0.0000039107817,0.000011673251,0.0000086693535,0.00003605712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959683,0.000015240165,0.0001767701,0.00008929534,0.00003511257,0.000086738466],"domain_scores_gemma":[0.99966425,0.000011731674,0.000016068503,0.00024802572,0.00003718944,0.000022759372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010654314,0.000050414757,0.00013977208,0.00012679119,0.000006259003,0.000003529659,0.000056660858,0.000045655404,0.00014091577],"category_scores_gemma":[0.0000050822086,0.00004960249,0.000025763273,0.0006519245,0.00001705475,0.00011330297,0.0000056812287,0.000029670495,0.0000025139097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014581425,0.000013332808,0.018209228,0.0000046592977,0.000033246513,1.6680178e-7,0.00006999068,0.9793001,0.0021278092,0.00009390027,0.0000073814394,0.00013875525],"study_design_scores_gemma":[0.000054407425,0.000010981149,0.01042143,0.0000024854216,0.00002962349,2.6558194e-8,0.00004231047,0.985894,0.003465942,0.000008340073,0.000019969108,0.000050478917],"about_ca_topic_score_codex":0.00008419075,"about_ca_topic_score_gemma":0.0007741196,"teacher_disagreement_score":0.6634611,"about_ca_system_score_codex":0.000031670614,"about_ca_system_score_gemma":0.0000016719247,"threshold_uncertainty_score":0.20227309},"labels":[],"label_agreement":null},{"id":"W2898659501","doi":"10.1109/jiot.2018.2878716","title":"Energy-Efficient and Low-Latency Massive SIMO Using Noncoherent ML Detection for Industrial IoT Communications","year":2018,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Australian Research Council; Zhengzhou University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Rayleigh fading; Transmitter; Algorithm; Coding gain; Decoding methods; Constellation diagram; Fading; Topology (electrical circuits); Telecommunications; Mathematics; Channel (broadcasting); Bit error rate","score_opus":0.033332069308084786,"score_gpt":0.2672986008530545,"score_spread":0.2339665315449697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898659501","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":[0.25851914,0.00013236738,0.739626,0.000016468213,0.0014217587,0.00012126547,0.000003139853,0.000035475525,0.0001243953],"genre_scores_gemma":[0.9838901,0.000027191933,0.015555841,0.000012262284,0.00043404519,0.0000074969626,0.000001353065,0.000031615597,0.000040085222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991524,0.000031855663,0.00044239179,0.000101678546,0.000109080014,0.00016259382],"domain_scores_gemma":[0.9991539,0.00006709491,0.00027463253,0.00018152909,0.00025297664,0.00006984301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021652847,0.00012461745,0.00017696815,0.00015298431,0.000106804044,0.00005496746,0.00021756801,0.000117435484,0.000010002864],"category_scores_gemma":[0.000054820026,0.00012276959,0.00005944804,0.00009545585,0.000081688035,0.00016798842,0.00004255541,0.00023299876,0.0000010046168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013848337,0.000084649924,0.0000880069,0.00008071134,0.00022302858,0.0000023611951,0.0036834641,0.6825389,0.27249995,0.00016028635,0.00038106323,0.040119093],"study_design_scores_gemma":[0.00058544084,0.00013187523,0.0000038365692,0.00030158667,0.00003086734,0.000066600296,0.00012018668,0.9055593,0.09263317,0.00014129006,0.00031299927,0.00011284371],"about_ca_topic_score_codex":0.000056720903,"about_ca_topic_score_gemma":0.000018083907,"teacher_disagreement_score":0.725371,"about_ca_system_score_codex":0.00020600158,"about_ca_system_score_gemma":0.000022612536,"threshold_uncertainty_score":0.50063986},"labels":[],"label_agreement":null},{"id":"W2899047321","doi":"10.1109/tvt.2018.2861391","title":"Device-to-Device Data Transfer Through Multihop Relay Links Underlaying Cellular Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Cellular network; Computer network; Backhaul (telecommunications); Base station; Data transmission; Relay; Scheduling (production processes); Transmission (telecommunications); Optimization problem; User equipment; Distributed computing; Mathematical optimization; Power (physics); Algorithm; Mathematics","score_opus":0.02790972556829216,"score_gpt":0.26158089183583144,"score_spread":0.23367116626753928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899047321","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018542042,0.00046174452,0.97591066,0.00037940737,0.0012400805,0.0007304013,0.00003863357,0.0024024074,0.0002946238],"genre_scores_gemma":[0.9625762,0.00016823532,0.036435474,0.00024167952,0.00015486231,0.00012657723,0.00003441461,0.00016308262,0.00009943818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978869,0.000050705232,0.0005309692,0.0007283766,0.00018885339,0.000614211],"domain_scores_gemma":[0.9979561,0.00006889769,0.000036027064,0.0016865052,0.00014718788,0.00010526778],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017610245,0.00040571915,0.00040367924,0.00042859072,0.00032764694,0.0000362733,0.0008066159,0.0011324624,0.00006337158],"category_scores_gemma":[0.000011924376,0.00044866287,0.000085140615,0.0014499247,0.00016209076,0.00042553007,0.000008525579,0.0012093862,0.00035432377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016232261,0.000054671633,0.0000054000366,0.000041255396,0.0001303386,0.000018499208,0.00017811604,0.9654532,0.023408815,0.00012173502,0.000115479284,0.010456272],"study_design_scores_gemma":[0.00075039384,0.00015404784,0.0000023179505,0.00017415374,0.00013228322,0.00004372431,0.00023581985,0.83678627,0.1470591,0.00007349936,0.013981477,0.00060693634],"about_ca_topic_score_codex":0.000028504463,"about_ca_topic_score_gemma":0.00023270045,"teacher_disagreement_score":0.9440342,"about_ca_system_score_codex":0.00017867777,"about_ca_system_score_gemma":0.000025365187,"threshold_uncertainty_score":0.9997965},"labels":[],"label_agreement":null},{"id":"W2899799113","doi":"10.1109/icmcs.2018.8525955","title":"Capacity-Aware Hybrid beamforming for Multi-User Massive MIMO","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"Medical Research Council; CMC Microsystems","keywords":"Beamforming; MIMO; Base station; Telecommunications link; Computer science; Precoding; Electronic engineering; Channel capacity; Capacity optimization; Computer network; Multi-user; Channel (broadcasting); Computer engineering; Telecommunications; Engineering","score_opus":0.024438505702782966,"score_gpt":0.2508809602344528,"score_spread":0.2264424545316698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899799113","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":[0.004036399,0.000018559642,0.992612,0.000017528242,0.00057649927,0.00043551903,0.00003100433,0.000513536,0.0017589633],"genre_scores_gemma":[0.4790536,0.0000048599827,0.5162554,0.000053875363,0.0003634779,0.000113790775,0.00002851717,0.000078618585,0.0040478613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993443,0.000004903102,0.00018833949,0.0001540693,0.00005569713,0.000252724],"domain_scores_gemma":[0.9995659,0.000029132021,0.000030052883,0.00018511942,0.00013118966,0.000058577625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054541564,0.00013719896,0.00013674652,0.00006284759,0.00008571305,0.000019621251,0.00009000822,0.000050182607,0.00006702106],"category_scores_gemma":[0.000034980574,0.00013342274,0.00004387855,0.000075276526,0.000028656941,0.000277191,0.000015867845,0.000054095668,0.000082869745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038978906,0.0000796105,0.00056456705,0.0007734044,0.00024330965,0.000006670384,0.0026774118,0.9123656,0.039137945,0.0068198675,0.024604531,0.012688075],"study_design_scores_gemma":[0.00056712766,0.000036411624,0.000010339693,0.000036391917,0.000010396347,0.0000062641916,0.00016785767,0.8760038,0.09764159,0.00006670955,0.025208794,0.0002443116],"about_ca_topic_score_codex":0.0000142931485,"about_ca_topic_score_gemma":0.000064736436,"teacher_disagreement_score":0.4763566,"about_ca_system_score_codex":0.00008348476,"about_ca_system_score_gemma":0.0000064152955,"threshold_uncertainty_score":0.54408216},"labels":[],"label_agreement":null},{"id":"W2900117962","doi":"10.1109/tccn.2018.2880232","title":"Channel Estimation for Sparse Massive MIMO Channels in Low SNR Regime","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Channel (broadcasting); Estimator; Precoding; Signal-to-noise ratio (imaging); Algorithm; Channel state information; Noise (video); Filter (signal processing); Multi-user MIMO; Wireless; Energy (signal processing); Telecommunications; Mathematics; Statistics; Artificial intelligence","score_opus":0.038023482589002434,"score_gpt":0.2782650399327954,"score_spread":0.24024155734379296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900117962","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":[0.0015396466,0.00067263586,0.99541384,0.000106654654,0.0006128309,0.0007936899,0.00003927707,0.00016627256,0.00065514183],"genre_scores_gemma":[0.9893877,0.00192655,0.007752445,0.000055548524,0.000140176,0.0005847999,0.000039561444,0.000050001672,0.000063216045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991206,0.00006240331,0.00030131012,0.00020567386,0.00006116054,0.0002488304],"domain_scores_gemma":[0.9988897,0.00044445097,0.000070491515,0.00035917384,0.0001790466,0.000057166064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017377526,0.00017987906,0.00018947062,0.00023104645,0.00038167898,0.000046100424,0.00015379392,0.0001065109,0.000006655726],"category_scores_gemma":[0.00000831462,0.00021194055,0.000045271237,0.00039093787,0.00014126877,0.0002523426,0.0000039849297,0.00020727482,0.000011730801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081836464,0.00012754928,0.0000072097723,0.00009747739,0.00008298059,8.2063497e-7,0.001901374,0.82672495,0.00015749777,0.0001113552,0.00005923732,0.1706477],"study_design_scores_gemma":[0.00072876853,0.00009685455,0.000009327856,0.00089201034,0.000035149653,0.0000042394645,0.00033310216,0.99504286,0.0018566861,0.00049470284,0.00028305358,0.00022322807],"about_ca_topic_score_codex":0.000010738687,"about_ca_topic_score_gemma":0.0001789988,"teacher_disagreement_score":0.98784804,"about_ca_system_score_codex":0.00008151429,"about_ca_system_score_gemma":0.00001356225,"threshold_uncertainty_score":0.8642685},"labels":[],"label_agreement":null},{"id":"W2901181117","doi":"10.1109/cjece.2018.2871130","title":"Energy-Efficient Sparse Beamforming in Cloud Radio Access Networks","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Beamforming; Radio access network; Baseband; Computer science; Ergodic theory; Cloud computing; Telecommunications link; C-RAN; Heuristic; Efficient energy use; Power (physics); Power budget; Mathematical optimization; Real-time computing; Computer network; Base station; Power control; Telecommunications; Engineering; Mathematics; Electrical engineering; Bandwidth (computing); Mobile station","score_opus":0.005584619268824064,"score_gpt":0.17766210245288788,"score_spread":0.17207748318406382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901181117","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":[0.04240109,0.0015708645,0.9549878,0.00001008584,0.00091055495,0.000035993973,4.1916104e-7,0.000023955774,0.000059221446],"genre_scores_gemma":[0.99465454,0.00004420383,0.0041842405,0.000026179814,0.001060408,0.0000013479711,6.7479465e-7,0.000023571332,0.000004848476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992012,0.00000835713,0.00030025528,0.00008640171,0.000056966288,0.00034687034],"domain_scores_gemma":[0.99946994,0.000041283583,0.000038598635,0.00006550227,0.00005401644,0.00033063508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000968532,0.00012398239,0.00019698021,0.00040138038,0.00003623755,0.00006565094,0.00015300968,0.000066536864,0.000003846607],"category_scores_gemma":[0.000012091929,0.00012608709,0.000031389405,0.00044486145,0.000015245396,0.00014645031,0.0000107369715,0.00020486054,3.8522384e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018546532,0.0000021474518,0.00029139078,0.000007349799,0.000012360074,0.000041777406,0.000057252928,0.98921144,0.000027106773,0.00030820825,0.00019493619,0.009844148],"study_design_scores_gemma":[0.00019939001,0.000055310964,0.00045841112,0.00008295607,0.0000047952253,0.00017706279,0.0000014104368,0.9971696,0.00013426636,0.000019666277,0.0015618876,0.00013524265],"about_ca_topic_score_codex":0.00011646369,"about_ca_topic_score_gemma":0.00033067536,"teacher_disagreement_score":0.95225346,"about_ca_system_score_codex":0.00019531653,"about_ca_system_score_gemma":0.00005413086,"threshold_uncertainty_score":0.51416826},"labels":[],"label_agreement":null},{"id":"W2902081258","doi":"10.1007/978-3-030-02158-0_6","title":"Nonlinear Hybrid Precoding for Massive MIMO with Universal Frequency Reuse","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Precoding; Computer science; Reuse; MIMO; Frequency reuse; Degradation (telecommunications); Interference (communication); Nonlinear system; Computer network; Electronic engineering; Telecommunications; Beamforming; Base station; Engineering; Channel (broadcasting)","score_opus":0.00945569797429546,"score_gpt":0.19701759772963182,"score_spread":0.18756189975533635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902081258","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":[0.0001259458,0.00073602115,0.9276833,0.000015117959,0.00113981,0.0011397772,0.00017596132,0.00065461657,0.06832948],"genre_scores_gemma":[0.085701816,0.004755408,0.44771388,0.00015357205,0.019869015,0.0005717638,0.005335969,0.004129537,0.431769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985,0.000009271928,0.00040172643,0.0004863983,0.00014925504,0.00045337706],"domain_scores_gemma":[0.99853456,0.00010366819,0.00024343602,0.00075151445,0.00024047497,0.00012631866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000076967655,0.00055594085,0.00056453067,0.00014069636,0.0001141148,0.000047345467,0.0004039756,0.0004388325,0.000119854296],"category_scores_gemma":[0.000010475747,0.00057212246,0.00012056854,0.000050163755,0.00009838529,0.00021988362,0.00006574667,0.00043762496,0.00003138748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084442,0.000008492678,0.0000074365507,0.00031308568,0.00037300077,0.000062805404,0.00015740727,0.9805091,0.000027397264,0.004508812,0.010690997,0.0032570292],"study_design_scores_gemma":[0.00095987663,0.00019736507,3.794917e-7,0.0017358639,0.00018484493,0.0000280759,0.000027258457,0.9599187,0.00012664137,0.0011520674,0.034597706,0.0010712396],"about_ca_topic_score_codex":0.0000040498644,"about_ca_topic_score_gemma":0.000049629227,"teacher_disagreement_score":0.47996938,"about_ca_system_score_codex":0.00032735293,"about_ca_system_score_gemma":0.000050306986,"threshold_uncertainty_score":0.999673},"labels":[],"label_agreement":null},{"id":"W2902313703","doi":"10.1007/978-3-030-02158-0_3","title":"Hybrid Precoding and Combining for Massive MIMO Wireless Backhauling","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Baseband; Precoding; Computer science; MIMO; Transmitter; Wireless; Multi-user MIMO; Electronic engineering; Computer network; Channel (broadcasting); Telecommunications; Engineering; Bandwidth (computing)","score_opus":0.012591384661123726,"score_gpt":0.21214949068139885,"score_spread":0.19955810602027513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902313703","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":[0.0006538602,0.0027974318,0.9529988,0.0000110953615,0.0023064774,0.0012190096,0.00009039603,0.00067207933,0.039250806],"genre_scores_gemma":[0.8304547,0.008089976,0.028205018,0.0001538794,0.009692712,0.0006460689,0.0019966594,0.0025521556,0.11820881],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980309,0.000013531736,0.0006404273,0.00060200924,0.00015063562,0.00056251005],"domain_scores_gemma":[0.99870074,0.00026473944,0.00029973657,0.00040290708,0.00017094433,0.00016093125],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018401851,0.0006541454,0.0008165648,0.00015512573,0.00020710198,0.000113646965,0.00022533948,0.0005510778,0.0000677035],"category_scores_gemma":[0.000010357675,0.0007709084,0.00014036904,0.00003579514,0.00011160579,0.00021105079,0.000098492455,0.00052027864,0.000023137727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060464296,0.0000074357754,0.000013418451,0.0009849326,0.00041091265,0.000024909645,0.000330286,0.93376106,0.00008921877,0.009704165,0.00909734,0.045515843],"study_design_scores_gemma":[0.00069864845,0.00005697528,7.151486e-7,0.0020475937,0.00010972451,0.00002375225,0.0000308801,0.98139083,0.00011127328,0.0014025713,0.013258152,0.00086886314],"about_ca_topic_score_codex":0.0000016767841,"about_ca_topic_score_gemma":0.000011869079,"teacher_disagreement_score":0.92479384,"about_ca_system_score_codex":0.00018232381,"about_ca_system_score_gemma":0.000021937056,"threshold_uncertainty_score":0.99947417},"labels":[],"label_agreement":null},{"id":"W2903014755","doi":"10.1007/978-3-030-02158-0_4","title":"Hybrid Precoding/Combining for Massive MIMO with Hybrid ARQ","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Hybrid automatic repeat request; Retransmission; Computer science; Selective Repeat ARQ; Automatic repeat request; Go-Back-N ARQ; Computer network; Precoding; Network packet; Transmitter; MIMO; Transmission (telecommunications); Decoding methods; Reliability (semiconductor); Wireless; Real-time computing; Channel (broadcasting); Algorithm; Telecommunications link; Telecommunications","score_opus":0.010249507630960048,"score_gpt":0.20059268251299073,"score_spread":0.19034317488203067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903014755","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":[0.0001239999,0.0011101217,0.9087766,0.000011159355,0.001805086,0.0013036066,0.00010321776,0.0007981602,0.08596807],"genre_scores_gemma":[0.56233585,0.002236159,0.04570714,0.00019247978,0.011906104,0.0013322459,0.0033106103,0.0034865295,0.3694929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99799865,0.00001034801,0.0005617662,0.0006182684,0.0002006745,0.0006102728],"domain_scores_gemma":[0.9985338,0.00015713245,0.00033530232,0.00058627425,0.00023386416,0.00015361611],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012439303,0.00072595873,0.00079303625,0.00016230473,0.00015059572,0.00008466534,0.000315876,0.00033067432,0.00014260707],"category_scores_gemma":[0.000008308108,0.0007434258,0.00016366491,0.000037531903,0.00010531809,0.00019884625,0.000060204417,0.00054245273,0.000048117177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077443496,0.000006749777,0.0000037313948,0.00031211626,0.00034231137,0.00003951714,0.00007099689,0.9650282,0.000008296694,0.0048983013,0.01966971,0.009542591],"study_design_scores_gemma":[0.0010681042,0.00018863271,5.8468464e-7,0.002207054,0.0001756156,0.00006850283,0.000014562175,0.9392362,0.00026425917,0.0020187274,0.05350281,0.0012549075],"about_ca_topic_score_codex":0.000001793716,"about_ca_topic_score_gemma":0.000015844953,"teacher_disagreement_score":0.8630694,"about_ca_system_score_codex":0.00025924892,"about_ca_system_score_gemma":0.00003769986,"threshold_uncertainty_score":0.9995017},"labels":[],"label_agreement":null},{"id":"W2903538651","doi":"10.1007/978-3-030-02158-0_5","title":"Nonlinear Hybrid Precoding for Massive MIMO with Fractional Frequency Reuse","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Precoding; MIMO; Computer science; Multi-user MIMO; Channel (broadcasting); Telecommunications; Topology (electrical circuits); Control theory (sociology); Algorithm; Mathematics; Combinatorics","score_opus":0.011065728525953602,"score_gpt":0.21180766981868235,"score_spread":0.20074194129272874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903538651","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":[0.00006505024,0.00078420417,0.9449847,0.000020502073,0.0014405424,0.0009816344,0.00019431388,0.0005224179,0.051006645],"genre_scores_gemma":[0.06602802,0.0039753416,0.5313313,0.0002602329,0.03471028,0.0015545157,0.007894751,0.0037803154,0.35046527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984373,0.000008198233,0.00047026528,0.00048344687,0.00019083203,0.00040994646],"domain_scores_gemma":[0.9985134,0.00015010133,0.00028108706,0.00065234466,0.00028697797,0.00011611767],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008811559,0.00053254527,0.00052647997,0.00013047965,0.00013495609,0.0000538866,0.00031396307,0.0004496397,0.00024777593],"category_scores_gemma":[0.000016465096,0.0005407727,0.00012655115,0.00004252932,0.00007958741,0.00024080032,0.000047857924,0.0005187899,0.000049086255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006495555,0.000009475696,0.000009458928,0.00022649312,0.00032097212,0.000023719282,0.000057753325,0.9797773,0.000021676622,0.0027069268,0.0142963575,0.0024849446],"study_design_scores_gemma":[0.000700672,0.00013737608,0.0000010340879,0.0013723897,0.00013409274,0.000044085387,0.000010185483,0.9426898,0.00010135036,0.0023688308,0.051495973,0.0009442451],"about_ca_topic_score_codex":0.0000028266472,"about_ca_topic_score_gemma":0.000032170272,"teacher_disagreement_score":0.4136534,"about_ca_system_score_codex":0.00028632727,"about_ca_system_score_gemma":0.000051161984,"threshold_uncertainty_score":0.99970436},"labels":[],"label_agreement":null},{"id":"W2903920861","doi":"10.1049/iet-com.2018.5654","title":"Pilot decontamination in massive multiuser MIMO systems based on low‐rank matrix approximation","year":2018,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Human decontamination; Rank (graph theory); MIMO; Matrix (chemical analysis); Computer science; Mathematical optimization; Mathematics; Applied mathematics; Statistics; Medicine; Combinatorics; Chemistry","score_opus":0.020248782318115048,"score_gpt":0.27590395649652655,"score_spread":0.2556551741784115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903920861","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":[0.0147977015,0.0004216468,0.96564484,0.00035217087,0.0007134353,0.0016182179,0.000048249403,0.0006939407,0.015709829],"genre_scores_gemma":[0.975218,0.000053412066,0.023847742,0.000029315495,0.00006425203,0.00041740545,0.0001987179,0.000051974715,0.000119167205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889827,0.00016105604,0.0004383144,0.00017112367,0.0001339612,0.00019729232],"domain_scores_gemma":[0.9980378,0.00027815514,0.000111671776,0.0013380535,0.000194363,0.000039920513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002606348,0.0001670973,0.00017834964,0.000307608,0.00014645481,0.000055130782,0.00045706725,0.000079174206,0.000016218262],"category_scores_gemma":[0.00011968326,0.00018997533,0.00003095557,0.00045606412,0.000070094604,0.00032062866,0.000043457934,0.00019701952,0.00017789747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019603913,0.00017217627,0.00041773263,0.00011045658,0.000014484241,5.510395e-7,0.00069034967,0.98855925,0.0030246698,0.005595353,0.00046615204,0.00092924305],"study_design_scores_gemma":[0.0007394185,0.000071629955,0.00088418555,0.00024964262,0.000008428799,0.0000010334426,0.00020335116,0.9959762,0.00066168234,0.00006832381,0.00094615744,0.00018994435],"about_ca_topic_score_codex":0.000086347856,"about_ca_topic_score_gemma":0.00037908758,"teacher_disagreement_score":0.9604203,"about_ca_system_score_codex":0.00035159718,"about_ca_system_score_gemma":0.000024202232,"threshold_uncertainty_score":0.7746969},"labels":[],"label_agreement":null},{"id":"W2904488116","doi":"10.1049/el.2018.7760","title":"Linear approximation for bandwidth‐power product minimisation for downlink OFDM access in cognitive radio","year":2018,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Cognitive radio; Computer science; Linear programming; Telecommunications link; Bandwidth (computing); Quality of service; Computer network; Mathematical optimization; Orthogonal frequency-division multiplexing; Radio resource management; Interference (communication); Bandwidth allocation; Electronic engineering; Telecommunications; Wireless; Algorithm; Wireless network; Mathematics; Engineering","score_opus":0.015265817683324271,"score_gpt":0.273800453535647,"score_spread":0.2585346358523228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904488116","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":[0.070577405,0.00018986451,0.92594236,0.0006334913,0.0003560113,0.0020168945,0.000020211692,0.00016073495,0.00010304971],"genre_scores_gemma":[0.9759975,0.000024791629,0.022123624,0.00032101665,0.00055572414,0.0005618198,0.00030136725,0.00007705683,0.000037080736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989325,0.000018526023,0.0002912412,0.0002801335,0.000084789695,0.00039280189],"domain_scores_gemma":[0.99949574,0.00011076437,0.000079451296,0.00014654452,0.00013873339,0.000028769206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002389802,0.00016639619,0.00017779002,0.00015519805,0.00006538027,0.00003925435,0.00012333722,0.000070055496,0.000007282684],"category_scores_gemma":[0.00015984145,0.0001867175,0.000047479276,0.00023094779,0.000029377,0.00046433447,0.000009454689,0.000108732806,0.000004623477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010836229,0.00018804248,0.0007064251,0.0011714383,0.00035077505,0.0000016642299,0.005914464,0.6325715,0.3016054,0.0014919954,0.021687098,0.033227537],"study_design_scores_gemma":[0.003336006,0.0002859567,0.0001792263,0.0001274138,0.000050219554,0.0000049365926,0.000058191643,0.73221284,0.25377172,0.0005774039,0.0087949345,0.00060114183],"about_ca_topic_score_codex":0.0000017656837,"about_ca_topic_score_gemma":0.000030884417,"teacher_disagreement_score":0.9054201,"about_ca_system_score_codex":0.00030476166,"about_ca_system_score_gemma":0.000033633685,"threshold_uncertainty_score":0.7614119},"labels":[],"label_agreement":null},{"id":"W2905053357","doi":"10.1109/twc.2018.2882434","title":"Tractable Coverage Analysis for Hexagonal Macrocell-Based Heterogeneous UDNs With Adaptive Interference-Aware CoMP","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Macrocell; Interference (communication); Computer science; Poisson point process; Coverage probability; Stochastic geometry; Transmission (telecommunications); Point process; Cellular network; Telecommunications link; Upper and lower bounds; Monte Carlo method; Topology (electrical circuits); Base station; Computer network; Telecommunications; Mathematics; Statistics; Combinatorics","score_opus":0.026603017322453883,"score_gpt":0.2542409848271141,"score_spread":0.22763796750466023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905053357","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":[0.006300022,0.000052154886,0.99139875,0.00007375783,0.00013889799,0.0006063242,0.00055945606,0.00042792418,0.0004426901],"genre_scores_gemma":[0.9789288,0.00007980931,0.019974146,0.000053628588,0.000025681058,0.0005733093,0.0001421201,0.00007615201,0.00014632949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882334,0.000073183124,0.00037893292,0.00028301388,0.00013752862,0.00030398648],"domain_scores_gemma":[0.99783164,0.0003332208,0.00009970357,0.0012860722,0.0003393215,0.00011006539],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000813793,0.00028092985,0.0003593045,0.00036193163,0.00056365365,0.000061354294,0.0005708353,0.000116803516,0.00009819541],"category_scores_gemma":[0.000001623315,0.00029012622,0.00018017423,0.0008883995,0.00020809703,0.00021569128,0.000003055384,0.00028151303,0.000034462348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011393133,0.00019508056,0.000028279612,0.000024953362,0.0005720933,5.0671116e-7,0.00023400858,0.9962545,0.00068152254,0.00004555573,0.000026692293,0.0018228515],"study_design_scores_gemma":[0.0007217691,0.00028724194,0.000023796374,0.00007561134,0.00037511106,0.0000055888245,0.0001255793,0.9764421,0.021219319,0.000019030771,0.00037084808,0.00033403607],"about_ca_topic_score_codex":0.00004745047,"about_ca_topic_score_gemma":0.0026176677,"teacher_disagreement_score":0.97262883,"about_ca_system_score_codex":0.00022892296,"about_ca_system_score_gemma":0.000064345346,"threshold_uncertainty_score":0.9999551},"labels":[],"label_agreement":null},{"id":"W2906609779","doi":"10.1109/jiot.2018.2889455","title":"Data Rate Utility Analysis for Uplink Two-Hop Internet of Things Networks","year":2018,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Mathematical optimization; Mathematics; Computer network","score_opus":0.03161653765910761,"score_gpt":0.2894024027913847,"score_spread":0.2577858651322771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906609779","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":[0.035245202,0.00027724775,0.96181214,0.000024503956,0.0018037396,0.00018893507,0.000018544717,0.000083429215,0.00054625486],"genre_scores_gemma":[0.9472724,0.000047199235,0.051800966,0.0000631769,0.00040323104,0.000003977914,0.000048325684,0.00005232201,0.00030840994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978946,0.00007007572,0.0011790381,0.00031443097,0.00020034236,0.00034155132],"domain_scores_gemma":[0.9977583,0.00018281165,0.0007378864,0.000674616,0.00052573,0.00012063783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016659113,0.00025669095,0.0006446612,0.00033706703,0.000039866685,0.00008543942,0.0011878263,0.00014654781,0.00014189129],"category_scores_gemma":[0.00022133977,0.00024118066,0.0002535651,0.00039090734,0.00012909842,0.0013029303,0.00016552598,0.00044125225,0.0000050315543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007562474,0.00016440215,0.0058120214,0.00050915906,0.006958286,0.000015249261,0.009065632,0.91562027,0.012465442,0.00021895445,0.02844115,0.019973174],"study_design_scores_gemma":[0.00057282986,0.00010914721,0.00007390932,0.0002466416,0.00036325207,0.000030608582,0.000060216218,0.982677,0.014729647,0.00028966813,0.00065204536,0.00019505483],"about_ca_topic_score_codex":0.00011168723,"about_ca_topic_score_gemma":0.000029522353,"teacher_disagreement_score":0.9120272,"about_ca_system_score_codex":0.0000933268,"about_ca_system_score_gemma":0.00002390143,"threshold_uncertainty_score":0.9835062},"labels":[],"label_agreement":null},{"id":"W2907002301","doi":"10.1109/wimob.2018.8589114","title":"Deep Reinforcement Learning-based Data Transmission for D2D Communications","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Reinforcement learning; Transmission (telecommunications); Base station; Interference (communication); Markov chain; Computer network; Wireless network; Markov decision process; Cellular network; Wireless; Telecommunications link; Markov process; Distributed computing; Artificial intelligence; Channel (broadcasting); Telecommunications; Machine learning","score_opus":0.040109857850496235,"score_gpt":0.2933176738377501,"score_spread":0.25320781598725384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907002301","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":[0.000007168667,0.00011715167,0.9916189,0.000105473504,0.00005910243,0.0003326786,0.0000019276147,0.0003701787,0.007387473],"genre_scores_gemma":[0.698074,0.000040801573,0.3004195,0.000041040304,0.000054481403,0.00005054601,0.000634065,0.000031766936,0.0006538114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995299,0.000012092919,0.00017497552,0.00010903468,0.00005126036,0.00012271358],"domain_scores_gemma":[0.9989374,0.00006138681,0.000023065259,0.00087210955,0.000065725355,0.000040313218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112250935,0.00007551345,0.00007536049,0.000039358656,0.0001269433,0.000014806156,0.0003981796,0.00004100012,0.000098023906],"category_scores_gemma":[0.000013498687,0.0000732226,0.000016187616,0.00008629523,0.000028926383,0.00016855645,0.000040491024,0.000055576358,0.000030444293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005413262,0.000005807431,0.0000079309475,0.00003534124,0.000008477786,2.4380759e-8,0.00008275296,0.98472756,0.00067935325,0.00019522413,0.0010487702,0.0132033555],"study_design_scores_gemma":[0.00028668292,0.00003788785,0.0000014494523,0.00001920691,0.000008134746,2.48538e-7,0.000032246793,0.8736595,0.0018241258,0.00001836736,0.12402975,0.00008243114],"about_ca_topic_score_codex":0.0000064104306,"about_ca_topic_score_gemma":0.000031650172,"teacher_disagreement_score":0.69806683,"about_ca_system_score_codex":0.00003503701,"about_ca_system_score_gemma":0.000010616616,"threshold_uncertainty_score":0.2985931},"labels":[],"label_agreement":null},{"id":"W2907135405","doi":"10.1109/tcomm.2019.2892054","title":"Average SEP-Optimal Precoding for Correlated Massive MIMO With ZF Detection: An Asymptotic Analysis","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; MIMO; Zero-forcing precoding; Computer science; Mathematics; Algorithm; Electronic engineering; Control theory (sociology); Statistics; Engineering; Beamforming; Artificial intelligence","score_opus":0.013241440794707961,"score_gpt":0.2380051838955041,"score_spread":0.22476374310079614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907135405","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":[0.011608036,0.000053605043,0.9854755,0.00004994532,0.00029728413,0.00090293767,0.0000867364,0.00058871455,0.0009372704],"genre_scores_gemma":[0.96198076,0.00008280263,0.03676652,0.00001369295,0.000014894953,0.0004185763,0.00008444749,0.000070983704,0.0005673489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989602,0.000080141304,0.00034064858,0.00026314697,0.00011677361,0.00023907512],"domain_scores_gemma":[0.9978407,0.00027266692,0.00009149603,0.0015204169,0.00017888223,0.0000958476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011094641,0.0002223913,0.00028075528,0.00041795243,0.0003899595,0.000060413968,0.00038975725,0.0001345287,0.00009440976],"category_scores_gemma":[0.000003647804,0.00023703912,0.00014814059,0.0010637016,0.00004671069,0.0005001704,0.0000022450486,0.00034075,0.00005969895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003332836,0.00008377236,0.000030619518,0.000023945315,0.00054069853,1.9517441e-7,0.00042059386,0.99468374,0.0018283931,0.000035760622,0.0000044018616,0.0023145573],"study_design_scores_gemma":[0.0006543796,0.0001806514,0.00006819545,0.000040952087,0.0004610515,0.0000066539437,0.00027877375,0.9918793,0.005838451,0.000012506146,0.00029227103,0.00028682456],"about_ca_topic_score_codex":0.000021648033,"about_ca_topic_score_gemma":0.0005670908,"teacher_disagreement_score":0.9503727,"about_ca_system_score_codex":0.00022747579,"about_ca_system_score_gemma":0.000025839545,"threshold_uncertainty_score":0.96661747},"labels":[],"label_agreement":null},{"id":"W2907187178","doi":"10.1109/lwc.2018.2865770","title":"Extending the ITU-R P.530 Deep-Fading Outage Probability Results to SIMO-MRC and MIMO-MRC Line-of-Sight Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ultra Electronics (Canada); École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maximal-ratio combining; Fading; Rayleigh fading; MIMO; Mathematics; Computer science; Signal-to-noise ratio (imaging); Algorithm; Topology (electrical circuits); Telecommunications; Statistics; Beamforming; Decoding methods; Combinatorics","score_opus":0.029443136400491125,"score_gpt":0.26358284015942274,"score_spread":0.23413970375893162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907187178","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":[0.4085422,0.0011680023,0.582476,0.002980243,0.0010993913,0.0018208723,0.00007534533,0.0005439185,0.0012939826],"genre_scores_gemma":[0.98457056,0.00017419986,0.014587642,0.00015020059,0.00018305483,0.0002095707,0.000024861474,0.00006548829,0.00003441066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99807936,0.00025818846,0.00079551974,0.0003236246,0.00019479482,0.00034850562],"domain_scores_gemma":[0.996395,0.0005796303,0.00021034047,0.0025170573,0.00018972946,0.00010828015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070757477,0.00026658687,0.00034750337,0.0001826038,0.000440427,0.00010137024,0.0010596184,0.000104183615,0.0000018679355],"category_scores_gemma":[0.00014800666,0.00023750661,0.00006004474,0.00056548475,0.00035809862,0.00031713385,0.00020883247,0.00030455017,0.000021599553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035803536,0.000057297282,0.0005687665,0.0002859005,0.0001186737,0.0000017291777,0.0069699544,0.831015,0.15429029,0.0016245694,0.0010065,0.0040255557],"study_design_scores_gemma":[0.00075431843,0.000060835955,0.00046560462,0.000687993,0.00006757625,0.000024041354,0.0008463992,0.9781374,0.012395258,0.0000774239,0.005836625,0.00064657297],"about_ca_topic_score_codex":0.00014284237,"about_ca_topic_score_gemma":0.00025801483,"teacher_disagreement_score":0.57602835,"about_ca_system_score_codex":0.0001951146,"about_ca_system_score_gemma":0.000015645468,"threshold_uncertainty_score":0.96852386},"labels":[],"label_agreement":null},{"id":"W2907269937","doi":"10.1109/pimrc.2018.8580725","title":"Performance Gains of Three-Dimensional MIMO Antenna Structures","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Antenna (radio); Computer science; 3G MIMO; Omnidirectional antenna; MIMO; Electronic engineering; Antenna array; Computer network; Telecommunications; Engineering; Beamforming","score_opus":0.013683864889142716,"score_gpt":0.22821780915868461,"score_spread":0.2145339442695419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907269937","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":[0.67026776,0.00009982719,0.31956372,0.000006976631,0.00044185168,0.00012421579,0.0000051754623,0.0002401485,0.009250345],"genre_scores_gemma":[0.97451776,0.00000510934,0.025193708,0.000012914128,0.00009654382,0.0000022462962,0.0000040837426,0.000017589235,0.00015005027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999572,0.0000031078773,0.0001521735,0.00007940796,0.000076619326,0.000116706746],"domain_scores_gemma":[0.9997131,0.000010832682,0.000023437346,0.00014570987,0.000081157326,0.000025736159],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032023083,0.00007962156,0.0000987424,0.000048236318,0.00002738586,0.0000030824601,0.000064382824,0.000039616596,0.00017036842],"category_scores_gemma":[0.0000078151015,0.00006786912,0.000017901531,0.00010135375,0.00004484078,0.00011827444,0.000015066277,0.000037753103,0.000027354854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002943916,0.000016791024,0.011699529,0.00021810498,0.000068925416,0.0000014157586,0.00023941994,0.8410512,0.13689321,0.002115211,0.0020518973,0.0056148157],"study_design_scores_gemma":[0.00016435579,0.00004442916,0.005978234,0.00002915006,0.000003999777,0.000006391389,0.000010955235,0.9613602,0.032014005,0.00013289967,0.00014565082,0.0001097411],"about_ca_topic_score_codex":0.00000815871,"about_ca_topic_score_gemma":0.00004149889,"teacher_disagreement_score":0.30425003,"about_ca_system_score_codex":0.00001670067,"about_ca_system_score_gemma":0.0000064158853,"threshold_uncertainty_score":0.27676222},"labels":[],"label_agreement":null},{"id":"W2908264225","doi":"10.1109/newcas.2018.8585509","title":"Power Control for Massive Multiuser MIMO Systems With Finite-Dimensional Channel","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; Channel (broadcasting); Telecommunications link; MIMO; Computer science; Base station; Channel state information; Power control; Power (physics); Attenuation; Topology (electrical circuits); Electronic engineering; Control theory (sociology); Telecommunications; Engineering; Physics; Control (management); Electrical engineering; Wireless; Optics","score_opus":0.007306757308248956,"score_gpt":0.20738776300818496,"score_spread":0.200081005699936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908264225","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":[0.0013384318,0.000097716154,0.99397856,0.000033237728,0.00077367807,0.0009079771,0.000045733595,0.00037124057,0.0024534322],"genre_scores_gemma":[0.98533,8.2927227e-7,0.012731236,0.00006684377,0.00022179451,0.0001411712,0.000016968375,0.00006711759,0.0014240625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999247,0.000011497232,0.0001996927,0.0001836444,0.00010203696,0.00025610338],"domain_scores_gemma":[0.99927115,0.00014536163,0.000044287408,0.00018714236,0.00028096134,0.00007111379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007073572,0.00016832179,0.00020069379,0.00006883402,0.000065721004,0.000024119838,0.00006835351,0.000083151266,0.000054464155],"category_scores_gemma":[0.00003615768,0.00013020713,0.00003105821,0.00009166485,0.00003421086,0.00016489787,0.000007472859,0.000048858354,0.00008023392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058613416,0.000010194281,0.000024791914,0.00004088198,0.0000651378,0.0000016674727,0.00012802567,0.9961499,0.00078008714,0.00039462888,0.0023333204,0.000012752504],"study_design_scores_gemma":[0.0017845564,0.00016389052,0.000016839573,0.000065148175,0.000013604175,0.000006053028,0.00015771024,0.9947442,0.0011096846,0.000018685283,0.0017014839,0.00021818429],"about_ca_topic_score_codex":0.00000911448,"about_ca_topic_score_gemma":0.000014279041,"teacher_disagreement_score":0.98399156,"about_ca_system_score_codex":0.000052849475,"about_ca_system_score_gemma":0.000012255872,"threshold_uncertainty_score":0.53096926},"labels":[],"label_agreement":null},{"id":"W2908426266","doi":"10.1109/tvt.2018.2872881","title":"User Selection and Multiuser Widely Linear Precoding for One-Dimensional Signalling","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Selection (genetic algorithm); Computer science; Zero-forcing precoding; Signalling; Computer network; Artificial intelligence; MIMO; Cell biology; Biology; Channel (broadcasting)","score_opus":0.013204540680158921,"score_gpt":0.23523581237331617,"score_spread":0.22203127169315726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908426266","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13499004,0.000057128305,0.8632015,0.000074598065,0.00032456397,0.00042366484,0.000009283547,0.00090452755,0.000014691484],"genre_scores_gemma":[0.8839518,0.000023748238,0.115634166,0.000022778737,0.00007317886,0.0001559014,0.0000030398758,0.000059263024,0.00007612175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914074,0.0000128225265,0.00023665294,0.00028070383,0.000078629295,0.0002504814],"domain_scores_gemma":[0.99955904,0.00005554471,0.000038053397,0.00014414535,0.00016189736,0.000041330077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009049378,0.00017178836,0.00018402706,0.00037442677,0.00022384808,0.000012908559,0.00007304357,0.00032032025,0.000018185461],"category_scores_gemma":[0.000010515408,0.00019497577,0.000047506215,0.0003426172,0.0000692899,0.00016491175,0.000001168059,0.00023829631,0.000020956071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024517392,0.000030737672,0.000013115373,0.000035786517,0.000072923074,5.454009e-7,0.00003604639,0.8244887,0.16944325,0.00009330834,0.000017501263,0.0057435646],"study_design_scores_gemma":[0.0003976669,0.0001358847,0.0000035726455,0.00005193631,0.000032322587,0.000017819399,0.000015608599,0.58822095,0.41025,0.00013656556,0.00058659725,0.00015107886],"about_ca_topic_score_codex":0.0000039949477,"about_ca_topic_score_gemma":0.000066275075,"teacher_disagreement_score":0.74896175,"about_ca_system_score_codex":0.000089305664,"about_ca_system_score_gemma":0.000011572128,"threshold_uncertainty_score":0.7950881},"labels":[],"label_agreement":null},{"id":"W2909251905","doi":"10.1109/tcc.2019.2893228","title":"Computing-Aware Base Station Sleeping Mechanism in H-CRAN-Cloud-Edge Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Cloud Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cloud computing; Computer science; Base station; Server; Edge computing; Computer network; Mobile edge computing; Enhanced Data Rates for GSM Evolution; Distributed computing; Knapsack problem; Algorithm; Operating system; Telecommunications","score_opus":0.010153621313349884,"score_gpt":0.22363050989292355,"score_spread":0.21347688857957367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909251905","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":[0.12078029,0.00005064059,0.8719719,0.000019047655,0.0055020982,0.00061908434,0.000010509511,0.00080195745,0.00024444234],"genre_scores_gemma":[0.9906656,0.00001718383,0.008728263,0.00007304678,0.0003155643,0.000010843976,0.00001783993,0.00012097356,0.00005066507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979268,0.00011062631,0.0006905385,0.0004777779,0.00021971365,0.00057459855],"domain_scores_gemma":[0.9989831,0.00031004852,0.00012661683,0.00038513067,0.00008695228,0.00010819325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037063385,0.00036148733,0.0004064774,0.00031850394,0.00019820449,0.00006379586,0.00020644015,0.00021018754,0.000044934684],"category_scores_gemma":[0.0000053265553,0.0004520268,0.00011534416,0.0007159649,0.000018301005,0.00020825413,0.0000038679764,0.00066108385,0.0001061884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001439358,0.00004239066,0.000049495673,0.000109268214,0.000030317298,0.0000070794085,0.00061072956,0.98686594,0.00071562245,0.00017138672,0.000023533536,0.011359826],"study_design_scores_gemma":[0.0010087646,0.000055543842,0.0000471915,0.00042964908,0.000017056167,0.000013499868,0.0002669286,0.99423546,0.0033893413,0.000079800964,0.000024403587,0.00043239005],"about_ca_topic_score_codex":0.000055397784,"about_ca_topic_score_gemma":0.00005964689,"teacher_disagreement_score":0.8698853,"about_ca_system_score_codex":0.00039100373,"about_ca_system_score_gemma":0.00002555088,"threshold_uncertainty_score":0.9997932},"labels":[],"label_agreement":null},{"id":"W2909580309","doi":"10.5539/nct.v4n1p1","title":"Fountain Codes and Linear Filtring to Mitigate Pilot Contamination Issue in Massive MiMo","year":2019,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"MIMO; Computer science; Robustness (evolution); Detector; Minimum mean square error; Fountain code; Channel (broadcasting); Algorithm; Real-time computing; Telecommunications; Block code; Decoding methods; Mathematics; Statistics; Linear code","score_opus":0.008345720888215972,"score_gpt":0.2252585783319271,"score_spread":0.21691285744371114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909580309","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":[0.85899985,0.017705431,0.112361595,0.0022532244,0.00021299662,0.0019664785,0.000008993742,0.0027394877,0.0037519413],"genre_scores_gemma":[0.9781342,0.0030635481,0.01857132,0.000022154458,0.00001087172,0.00008777116,0.000015738959,0.000015779884,0.00007862134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946773,0.000030095496,0.00018628624,0.0001265264,0.000042675307,0.00014670505],"domain_scores_gemma":[0.9994193,0.00012322878,0.000043043863,0.00036498634,0.000034180393,0.000015301308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014694782,0.00010415785,0.00015608336,0.00011453737,0.00005848273,0.000026532844,0.00016728953,0.00009412612,0.0000029449743],"category_scores_gemma":[0.00004788558,0.00011178778,0.0000058728187,0.00026520764,0.000043073636,0.0001559021,0.0001425082,0.00015755392,0.000010464764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029726505,0.00001955421,0.023355382,0.00015092804,0.000025661382,0.0000010383768,0.00072824553,0.84489554,0.003285433,0.010856123,0.00055030326,0.11610207],"study_design_scores_gemma":[0.0019429832,0.0004891791,0.015164006,0.0013344086,0.000022090384,0.00001118669,0.0089265,0.9297485,0.009460651,0.01155116,0.02038984,0.00095952867],"about_ca_topic_score_codex":0.000020451831,"about_ca_topic_score_gemma":0.00013500114,"teacher_disagreement_score":0.119134344,"about_ca_system_score_codex":0.000049862614,"about_ca_system_score_gemma":0.000002943623,"threshold_uncertainty_score":0.4558573},"labels":[],"label_agreement":null},{"id":"W2909591731","doi":"10.1007/978-3-030-10546-4_3","title":"Deep Reinforcement Learning for Interference Alignment Wireless Networks","year":2019,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Interference (communication); Wireless; Artificial intelligence; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.005688378555951221,"score_gpt":0.18023915969844584,"score_spread":0.17455078114249462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909591731","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":[0.000051189876,0.0017154212,0.9941319,0.000004209106,0.0006262645,0.0005882437,4.6491118e-7,0.00029694877,0.00258533],"genre_scores_gemma":[0.9539065,0.0029198604,0.021497492,0.00008772389,0.0015699938,0.00022638433,0.00012149579,0.0005931512,0.019077409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99847,0.0000048748025,0.0005029593,0.00041624054,0.00012579345,0.00048013937],"domain_scores_gemma":[0.99947476,0.00011824901,0.00007437471,0.00020031835,0.00003810566,0.000094159586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009798941,0.0004586377,0.0005352284,0.00023809508,0.00003075884,0.00005882781,0.00017132916,0.00030043878,0.000007619882],"category_scores_gemma":[0.000005467539,0.0005260874,0.00008986391,0.000069827474,0.000011719776,0.00009534737,0.00010416498,0.00063891045,0.000005589073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008678127,0.0000030111141,0.000014480166,0.00022876868,0.00006304729,0.000004935167,0.00004167817,0.9638027,0.000029750663,0.012266204,0.00003254018,0.023504201],"study_design_scores_gemma":[0.00036751348,0.00011294684,0.000016715376,0.00050712295,0.000019015479,0.000009178476,5.877741e-7,0.9919998,0.000050963125,0.00007813684,0.0062893406,0.0005487027],"about_ca_topic_score_codex":0.0000028636634,"about_ca_topic_score_gemma":0.0000024004746,"teacher_disagreement_score":0.97263443,"about_ca_system_score_codex":0.00031247697,"about_ca_system_score_gemma":0.000012469337,"threshold_uncertainty_score":0.9997191},"labels":[],"label_agreement":null},{"id":"W2909979296","doi":"10.1109/itw.2018.8613466","title":"Fronthaul Data Reduction in Massive MIMO Aided C-RAN via Two-timescale Hybrid Compression","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Baseband; Computer science; Spatial multiplexing; Telecommunications link; Electronic engineering; Channel state information; Radio access network; Multiplexing; Real-time computing; Channel (broadcasting); Computer network; Wireless; Base station; Telecommunications; Engineering; Bandwidth (computing)","score_opus":0.017060974753948993,"score_gpt":0.25763425496936,"score_spread":0.240573280215411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909979296","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":[0.029297499,0.00016511747,0.9594501,0.000049302576,0.0011359891,0.00037247472,0.00002491282,0.00046855124,0.009036014],"genre_scores_gemma":[0.95705056,0.000014423513,0.041750368,0.000009423103,0.00036081858,0.000012256069,0.00025520148,0.000046134897,0.00050082395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989973,0.000037588245,0.00030719445,0.00032546473,0.0000977387,0.00023476285],"domain_scores_gemma":[0.9991162,0.000021079713,0.00004067525,0.00070696103,0.000052519594,0.00006256703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011532826,0.00015930907,0.00018993605,0.00011987669,0.000051798048,0.000021644251,0.0002682305,0.00005559083,0.00024135926],"category_scores_gemma":[0.000019786141,0.00015844632,0.000017300055,0.00016572206,0.00004407835,0.00069204305,0.00010574316,0.000120653,0.00018062317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038291026,0.000048809816,0.00024116939,0.000055711425,0.000028553588,0.000007831615,0.00040521202,0.828156,0.13872299,0.000053914337,0.019421441,0.012820083],"study_design_scores_gemma":[0.0007329243,0.000022517606,0.00009941108,0.000084555744,0.000007698868,0.000018509108,0.00016530296,0.91970444,0.07777966,0.0001131956,0.0010538587,0.00021790205],"about_ca_topic_score_codex":0.00017372053,"about_ca_topic_score_gemma":0.00011748481,"teacher_disagreement_score":0.92775303,"about_ca_system_score_codex":0.00011166081,"about_ca_system_score_gemma":0.000009081499,"threshold_uncertainty_score":0.6461253},"labels":[],"label_agreement":null},{"id":"W2910090048","doi":"10.1109/tvt.2019.2893072","title":"Nonlinear Hybrid Precoding for Coordinated Multi-Cell Massive MIMO Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Baseband; MIMO; Zero-forcing precoding; Computer science; Channel state information; Minimum mean square error; Kalman filter; Control theory (sociology); Spatial correlation; Algorithm; Multi-user MIMO; Channel (broadcasting); Mathematics; Telecommunications; Wireless; Bandwidth (computing); Artificial intelligence; Statistics; Estimator","score_opus":0.008386314877156426,"score_gpt":0.21558003074810117,"score_spread":0.20719371587094473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910090048","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03841627,0.00033883355,0.9560984,0.00005284091,0.0016600796,0.0016145484,0.000107967804,0.0016146166,0.00009644647],"genre_scores_gemma":[0.9752911,0.000052371895,0.023189811,0.000008886145,0.000026675889,0.00050134043,0.00002122265,0.000114122566,0.00079448294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877125,0.000020812337,0.0003667828,0.00037221998,0.000081679624,0.00038728255],"domain_scores_gemma":[0.9991937,0.000061151906,0.00008017955,0.0004650648,0.00014658812,0.000053273667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008406941,0.00027192183,0.0003611492,0.00051173934,0.00010565903,0.00002417534,0.0002158155,0.00034378094,0.00001652563],"category_scores_gemma":[0.0000065554405,0.00029928234,0.00011382893,0.00040939235,0.000038689424,0.00015070118,0.0000014957053,0.00036252773,0.00017794792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012959504,0.00008070516,0.000008450694,0.00021970739,0.00007059652,0.000005512833,0.000018955878,0.93857795,0.05938477,0.000028992437,0.000044267443,0.0015471323],"study_design_scores_gemma":[0.0011474187,0.00011151207,2.693422e-7,0.00007786895,0.00003389338,0.000022859083,0.00012577903,0.7176509,0.2792445,0.000008371117,0.0013364857,0.00024011578],"about_ca_topic_score_codex":0.0000065684235,"about_ca_topic_score_gemma":0.0000052356413,"teacher_disagreement_score":0.9368748,"about_ca_system_score_codex":0.0002023993,"about_ca_system_score_gemma":0.000018350995,"threshold_uncertainty_score":0.99994594},"labels":[],"label_agreement":null},{"id":"W2910858494","doi":"10.1109/lwc.2019.2901460","title":"On the Impact of Mode Selection on Effective Capacity of Device-to-Device Communication","year":2019,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Underlay; Computer science; Transmitter; Channel (broadcasting); Mode (computer interface); Overlay; Markov process; Quality of service; Selection (genetic algorithm); Computer network; Channel state information; Markov chain; Queue; Topology (electrical circuits); Signal-to-noise ratio (imaging); Telecommunications; Mathematics; Wireless; Statistics; Engineering; Electrical engineering","score_opus":0.017335028398187007,"score_gpt":0.27312614339192404,"score_spread":0.255791114993737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910858494","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":[0.96575457,0.00003140088,0.031177416,0.0004422353,0.00007088507,0.0011860174,0.0000321865,0.00011620347,0.0011890722],"genre_scores_gemma":[0.99716926,0.000043732467,0.002349769,0.00015455905,0.00001028309,0.0001937653,0.00002539939,0.0000468715,0.000006352847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987528,0.00038198478,0.00038759504,0.0001458219,0.00016201905,0.00016978808],"domain_scores_gemma":[0.9962167,0.0011462239,0.00021348942,0.0022114057,0.00017174793,0.000040427607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002798663,0.00019646392,0.00028950474,0.00020650167,0.00012062148,0.000014305596,0.00090676977,0.00007865361,0.0000091875545],"category_scores_gemma":[0.00004905712,0.00016545654,0.00011489346,0.0006218339,0.00009170621,0.00016447608,0.000057190067,0.00036994647,0.000054659464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022025046,0.000058755944,0.0006004088,0.000036992627,0.00007853625,1.382884e-8,0.0007721057,0.7760692,0.22016269,0.0014456166,0.00030778686,0.00044587854],"study_design_scores_gemma":[0.0006282519,0.0002577446,0.007707591,0.00074766215,0.000039250073,0.0000026927235,0.00018353171,0.8624189,0.12738863,0.00018032368,0.00005466784,0.00039074864],"about_ca_topic_score_codex":0.0005651852,"about_ca_topic_score_gemma":0.00012071769,"teacher_disagreement_score":0.092774056,"about_ca_system_score_codex":0.00038746747,"about_ca_system_score_gemma":0.000017331244,"threshold_uncertainty_score":0.6747122},"labels":[],"label_agreement":null},{"id":"W2911910187","doi":"10.1109/lwc.2019.2895039","title":"Deep Autoencoder Based CSI Feedback With Feedback Errors and Feedback Delay in FDD Massive MIMO Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Channel state information; Autoencoder; MIMO; Telecommunications link; Feedback loop; Control theory (sociology); Channel (broadcasting); Transmission (telecommunications); Deep learning; Artificial intelligence; Wireless; Telecommunications","score_opus":0.010038081438527122,"score_gpt":0.21400958702095638,"score_spread":0.20397150558242927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911910187","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":[0.46582952,0.0013712028,0.5256221,0.0022026892,0.0005988155,0.002052054,0.00003372097,0.000657251,0.001632581],"genre_scores_gemma":[0.96959424,0.00018303357,0.02929666,0.0002743719,0.000033442022,0.0002952508,0.00009003487,0.00014840967,0.00008457215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997992,0.00021814363,0.0006190507,0.00042257895,0.00024365283,0.00050458114],"domain_scores_gemma":[0.99715817,0.00029244114,0.00020039076,0.002092997,0.00012106989,0.00013492395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020887952,0.00042456234,0.00051660184,0.00035844053,0.00015229819,0.00012506172,0.00084070663,0.00018522724,0.000015485428],"category_scores_gemma":[0.000010091677,0.000435448,0.000057589757,0.0006235873,0.00021583645,0.00055990595,0.000091045964,0.0005310742,0.00014079784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022013968,0.000039958617,0.004337162,0.00021404507,0.00005956146,0.0000060024972,0.0006008906,0.9882669,0.0056258417,0.00014594027,0.00036370152,0.00031801505],"study_design_scores_gemma":[0.0015940133,0.000030599902,0.001290978,0.00051559927,0.000030387973,0.00002318202,0.0007469662,0.99408233,0.00028165212,0.000004552498,0.0008305077,0.0005692188],"about_ca_topic_score_codex":0.0001901399,"about_ca_topic_score_gemma":0.00043440965,"teacher_disagreement_score":0.5037647,"about_ca_system_score_codex":0.00038338013,"about_ca_system_score_gemma":0.00004352752,"threshold_uncertainty_score":0.99980974},"labels":[],"label_agreement":null},{"id":"W2911935332","doi":"","title":"Proceedings of the 4th ACM international workshop on Experimental evaluation and characterization","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"CONTEST; Computer science; Wireless network; Pleasure; Wireless; Beijing; Quality (philosophy); Telecommunications; Political science; Psychology","score_opus":0.016364411012089283,"score_gpt":0.2713014872323475,"score_spread":0.2549370762202582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911935332","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":[0.97551113,0.000029407765,0.008992484,0.00024739417,0.0003258405,0.0004035786,0.000002022416,0.000095002506,0.014393134],"genre_scores_gemma":[0.9986654,0.000008303549,0.0010371279,0.00003919422,0.00004892823,0.000012077336,0.000010772935,0.000007046291,0.00017113805],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962103,0.000002840071,0.00011541624,0.00007472715,0.0001386689,0.000047323803],"domain_scores_gemma":[0.9998108,0.0000068615086,0.000038068327,0.00006320581,0.00006914966,0.000011916428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006498014,0.000057737256,0.0000487846,0.000037928883,0.000019210815,0.000016736234,0.000083926105,0.000029530758,0.000030091813],"category_scores_gemma":[0.0000426798,0.000044689175,0.000011350681,0.00008052776,0.000007703582,0.00021230578,0.0000136249355,0.00003310154,0.000001253882],"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":[0.000015305923,0.000036275163,0.00059060944,0.000008930133,0.000011815744,2.8323877e-8,0.00075131597,0.026452137,0.95030856,0.0030935255,0.0001710001,0.018560475],"study_design_scores_gemma":[0.0007138161,0.000050648345,0.03461338,0.00015176638,0.000011957432,0.0000045236197,0.00047553968,0.5434613,0.41970533,0.00033875572,0.0002962444,0.00017671463],"about_ca_topic_score_codex":2.28728e-7,"about_ca_topic_score_gemma":1.4585619e-7,"teacher_disagreement_score":0.53060323,"about_ca_system_score_codex":0.000058189402,"about_ca_system_score_gemma":0.0000026340774,"threshold_uncertainty_score":0.18223718},"labels":[],"label_agreement":null},{"id":"W2912061344","doi":"10.1109/tvt.2019.2895551","title":"Delay Analysis of Spatially Coded MIMO-ZFBF With Retransmissions in Random Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Retransmission; MIMO; Beamforming; Algorithm; Fading; Non-line-of-sight propagation; Computer science; Coverage probability; Telecommunications link; Topology (electrical circuits); Mathematics; Computer network; Network packet; Statistics; Telecommunications; Decoding methods; Wireless","score_opus":0.00364013588273121,"score_gpt":0.19511158221563807,"score_spread":0.19147144633290686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912061344","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17281143,0.00013271354,0.8259738,0.000040214753,0.0001285185,0.0004225091,0.000012258541,0.00033909213,0.00013942421],"genre_scores_gemma":[0.9927449,0.00012788633,0.006931614,0.000008763195,0.0000040911177,0.00007595054,0.000011497347,0.000044554097,0.00005074612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988816,0.000036717578,0.00041589164,0.00027434606,0.00013036592,0.00026112917],"domain_scores_gemma":[0.99924356,0.00006649549,0.00006924006,0.000502323,0.00007646381,0.00004193209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010593492,0.00020422788,0.00055525004,0.001447178,0.000036501457,0.0000056715317,0.00017446125,0.00039545514,0.00007686331],"category_scores_gemma":[0.0000030894028,0.00019010784,0.00012687825,0.0030435699,0.00006421945,0.000093781346,7.8242033e-7,0.00043915512,0.000008194029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008886741,0.000055769382,0.00045751533,0.000025871965,0.00051823776,0.00001049969,0.000056736302,0.98791,0.008807518,0.000049283037,0.0000015617874,0.002018157],"study_design_scores_gemma":[0.0018049582,0.00012037915,0.00007712857,0.00010137206,0.00038086664,0.000009752205,0.000051102965,0.9697908,0.027368579,0.000015395335,0.00006597105,0.00021370444],"about_ca_topic_score_codex":0.00003230778,"about_ca_topic_score_gemma":0.00062635756,"teacher_disagreement_score":0.8199335,"about_ca_system_score_codex":0.00008767771,"about_ca_system_score_gemma":0.00002306048,"threshold_uncertainty_score":0.77523726},"labels":[],"label_agreement":null},{"id":"W2913038240","doi":"10.1109/tvt.2019.2956921","title":"Resource Allocation in Green Dense Cellular Networks: Complexity and Algorithms","year":2019,"lang":"en","type":"preprint","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Upload; Scheduling (production processes); Heuristic; Time complexity; Mathematical optimization; Resource allocation; Computational complexity theory; Algorithm; Channel (broadcasting); Cellular network; Distributed computing; Computer network; Mathematics","score_opus":0.014014595951087228,"score_gpt":0.2205060423876169,"score_spread":0.20649144643652967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913038240","genre_codex":"methods","genre_gemma":"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":[0.027038515,0.0012247622,0.9687605,0.00025757463,0.0006077473,0.00096883904,0.00002912959,0.0010291723,0.00008378294],"genre_scores_gemma":[0.99044377,0.00038826093,0.0085900845,0.000024239731,0.00004495759,0.0002444037,0.000056100947,0.00011060952,0.000097604156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983252,0.00007792127,0.00049117615,0.00060312566,0.00014046574,0.00036210174],"domain_scores_gemma":[0.9988945,0.000048111095,0.00010521327,0.0008322272,0.000065000866,0.00005492203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018665353,0.0004068718,0.0005428683,0.0008556874,0.00007254681,0.000026421545,0.0002826801,0.0012790138,0.000008876264],"category_scores_gemma":[0.000004727492,0.00049395446,0.00008470333,0.0004933822,0.00015274968,0.00007844462,0.000009885747,0.0015610672,0.000021356182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009363797,0.000037482772,0.000019541581,0.00018733233,0.000066387234,0.000018222438,0.00006603223,0.9876591,0.0010357202,0.00008463663,0.000014831434,0.010801368],"study_design_scores_gemma":[0.00047530638,0.0000445154,0.000020695043,0.0002865261,0.00005148769,0.000029722369,0.00008682189,0.9886423,0.008596831,0.000858794,0.00045893685,0.00044808746],"about_ca_topic_score_codex":0.000091544345,"about_ca_topic_score_gemma":0.00020280707,"teacher_disagreement_score":0.96340525,"about_ca_system_score_codex":0.00031164513,"about_ca_system_score_gemma":0.000023306706,"threshold_uncertainty_score":0.9997512},"labels":[],"label_agreement":null},{"id":"W2913551535","doi":"10.1109/twc.2019.2892775","title":"Pilot Decontamination in Noncooperative Massive MIMO Cellular Networks Based on Spatial Filtering","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"MIMO; Computer science; Telecommunications link; Base station; Transmission (telecommunications); Interference (communication); Filter (signal processing); Channel (broadcasting); Multi-user MIMO; Spatial filter; Enhanced Data Rates for GSM Evolution; Precoding; Real-time computing; Telecommunications; Artificial intelligence; Computer vision","score_opus":0.014009745688787444,"score_gpt":0.2317750302203722,"score_spread":0.21776528453158478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913551535","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":[0.02167026,0.000048125403,0.9743581,0.00010853669,0.000625325,0.0008163706,0.000034016204,0.00027164907,0.0020676074],"genre_scores_gemma":[0.9943835,0.00013630632,0.0047266865,0.00005642968,0.00002372705,0.00039713754,0.00007215641,0.00007622648,0.00012779945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987535,0.0001709639,0.00042246666,0.0002544519,0.00014134188,0.00025727047],"domain_scores_gemma":[0.9981379,0.00041531434,0.00007638376,0.0012205791,0.000094566865,0.000055258297],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013575515,0.00025210922,0.00026067568,0.00034711658,0.00018576367,0.0000443784,0.00043475124,0.00010570869,0.00008902292],"category_scores_gemma":[0.0000047395556,0.00029728856,0.00006815362,0.0004673822,0.000048390004,0.00028077554,0.0000037280206,0.0005728371,0.000102386184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031846655,0.00019078495,0.000032238335,0.000022446398,0.000018298377,0.00000107111,0.00021000113,0.9854373,0.007496637,0.00017518512,0.000008696268,0.00637553],"study_design_scores_gemma":[0.0009608884,0.00016874002,0.000109239925,0.00025365618,0.000012831852,7.179154e-7,0.00010391666,0.9826224,0.015408245,0.0000066237835,0.00007382685,0.00027893062],"about_ca_topic_score_codex":0.000111840636,"about_ca_topic_score_gemma":0.0015012043,"teacher_disagreement_score":0.9727133,"about_ca_system_score_codex":0.00043144185,"about_ca_system_score_gemma":0.00003475708,"threshold_uncertainty_score":0.9999479},"labels":[],"label_agreement":null},{"id":"W2914192852","doi":"10.1049/el.2018.8070","title":"Achievable rate of hybrid precoding for hardware impaired MIMO underground mine channel","year":2019,"lang":"en","type":"article","venue":"Electronics Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Precoding; MIMO; Channel (broadcasting); Computer science; Electronic engineering; Zero-forcing precoding; Engineering; Computer hardware; Telecommunications","score_opus":0.007349769964259086,"score_gpt":0.20166239228214414,"score_spread":0.19431262231788504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914192852","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":[0.41365245,0.00083219976,0.58364934,0.00032297912,0.00043918702,0.0007385734,0.000018160417,0.0001952668,0.00015184286],"genre_scores_gemma":[0.995594,0.00006663973,0.0034814589,0.00015011903,0.00009288165,0.00006408474,0.00009065896,0.000090736634,0.00036942013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897647,0.000020124628,0.0002671759,0.00020833072,0.00006773337,0.00046014722],"domain_scores_gemma":[0.9994952,0.00008471256,0.00008759748,0.00025247817,0.000041756513,0.00003826141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017047781,0.00017898255,0.00025741683,0.00009771242,0.00003802346,0.000020041853,0.00014290218,0.000038355804,0.00001219419],"category_scores_gemma":[0.000020713083,0.00020328347,0.00008447163,0.00013048213,0.000010915505,0.00024576075,0.0000151626155,0.00011928196,0.00001363729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027310773,0.000008458366,0.000038049053,0.0002580791,0.0000739451,6.1084603e-7,0.00007504171,0.744881,0.25210375,0.0001540584,0.0022616195,0.00011806618],"study_design_scores_gemma":[0.0016948837,0.00020181746,0.000020367273,0.00012739334,0.00004547651,0.000014428162,0.000051652118,0.73656696,0.25599647,0.0003822521,0.00439571,0.0005026145],"about_ca_topic_score_codex":0.0000054643583,"about_ca_topic_score_gemma":0.000011258881,"teacher_disagreement_score":0.58194155,"about_ca_system_score_codex":0.0002680913,"about_ca_system_score_gemma":0.000024193288,"threshold_uncertainty_score":0.82896596},"labels":[],"label_agreement":null},{"id":"W2915365153","doi":"10.1109/glocom.2018.8647943","title":"Devices to Devices (Ds2Ds) Communication: Towards Energy Efficient IoT","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Efficient energy use; Internet of Things; Energy consumption; Computer network; Mobile device; Latency (audio); Throughput; Communications system; Wireless; Embedded system; Telecommunications; Electrical engineering; Engineering","score_opus":0.011393917782340359,"score_gpt":0.24538979160070307,"score_spread":0.2339958738183627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915365153","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":[0.015968371,0.00070576085,0.84318703,0.00022494032,0.00035915794,0.0001600605,0.0000034330058,0.00077964383,0.1386116],"genre_scores_gemma":[0.9522374,0.000016140239,0.04638195,0.0003101003,0.00014362222,0.00003405143,0.0000067268434,0.00003271326,0.00083729264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929434,0.000023035878,0.00022595825,0.00014930082,0.00011321586,0.00019414036],"domain_scores_gemma":[0.9992392,0.000030486712,0.000028997045,0.0004736067,0.00013768315,0.00009004663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009481308,0.0001327605,0.00013280618,0.00008922792,0.000096205586,0.00004222224,0.0002842413,0.000056871773,0.00029756504],"category_scores_gemma":[0.000016269194,0.0001252196,0.00002392428,0.00031924856,0.000027873755,0.00007150285,0.000078312536,0.000042245607,0.000309449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004409092,0.000017193684,0.00007075782,0.000035894012,0.00002676209,4.854022e-7,0.0005950121,0.9771863,0.0011896596,0.0047666356,0.0029781705,0.013128674],"study_design_scores_gemma":[0.00028663955,0.00007461463,0.0007996701,0.00013253551,0.000017170038,0.000008679847,0.00048267102,0.67291945,0.035945084,0.00004684258,0.28875813,0.0005285228],"about_ca_topic_score_codex":0.00011420962,"about_ca_topic_score_gemma":0.0009418901,"teacher_disagreement_score":0.93626904,"about_ca_system_score_codex":0.00007965852,"about_ca_system_score_gemma":0.000011526216,"threshold_uncertainty_score":0.51063067},"labels":[],"label_agreement":null},{"id":"W2915417289","doi":"10.1109/glocom.2018.8647540","title":"Joint Power Control and Routing in Multihop D2D Assisted Cellular Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Telecommunications link; Computer science; Base station; Power control; Underlay; User equipment; Signal-to-noise ratio (imaging); Interference (communication); Mathematical optimization; Signal-to-interference-plus-noise ratio; Power (physics); Computer network; Mathematics; Telecommunications","score_opus":0.009084574820183874,"score_gpt":0.20136229593467447,"score_spread":0.1922777211144906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915417289","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":[0.05987603,0.0002480621,0.92946094,0.0000131138995,0.00048606738,0.00038527962,0.0000027893768,0.0003268537,0.009200873],"genre_scores_gemma":[0.9966219,0.0000033191775,0.0030466907,0.000012763537,0.00007448555,0.000011786104,0.000002319801,0.00003185316,0.00019486829],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992523,0.000029837589,0.00030389347,0.00014798697,0.000065630586,0.00020033272],"domain_scores_gemma":[0.99968725,0.00003101195,0.00003556049,0.00014633582,0.00005074497,0.000049103764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018251737,0.00011876131,0.0001965463,0.00008727359,0.0000311625,0.000036448368,0.000038253453,0.00007845852,0.000017583887],"category_scores_gemma":[0.000033122575,0.00011286412,0.000015761761,0.000119207696,0.000021674005,0.00013853842,0.0000128723395,0.00007289665,0.000029628975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004864882,0.00007238663,0.0062190164,0.00044112568,0.00014743443,0.00005398785,0.0030914703,0.45648265,0.52375036,0.0058964808,0.0005569285,0.0032394796],"study_design_scores_gemma":[0.0007344639,0.000021795551,0.0012110281,0.00008793071,0.0000047355948,0.000008598906,0.00040735397,0.99466485,0.0025664733,0.000009056298,0.000120743534,0.00016297569],"about_ca_topic_score_codex":0.0000723921,"about_ca_topic_score_gemma":0.000044119162,"teacher_disagreement_score":0.9367459,"about_ca_system_score_codex":0.00007817018,"about_ca_system_score_gemma":0.0000041959197,"threshold_uncertainty_score":0.46024653},"labels":[],"label_agreement":null},{"id":"W2915654001","doi":"10.1109/nana.2018.8648729","title":"Low-complexity Optimal Scheduler for LTE Over LAN Cable","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Radio access network; Baseband; Computer science; Computer network; Base station; Leverage (statistics); Radio over fiber; Remote radio head; Bandwidth (computing); Optical fiber; Telecommunications; Mobile station","score_opus":0.021343022021069885,"score_gpt":0.25963774231577186,"score_spread":0.23829472029470197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915654001","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":[0.017850699,0.000019853751,0.96368057,0.000017895387,0.00038018488,0.00026109774,0.0000131678635,0.0004362318,0.017340282],"genre_scores_gemma":[0.6272691,0.0000025588915,0.36905298,0.00006895179,0.0004548561,0.0000463262,0.000024424518,0.000054423133,0.0030263858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945307,0.0000043361924,0.00013721958,0.00013081018,0.000052872794,0.00022166525],"domain_scores_gemma":[0.99966544,0.00001754062,0.000016598036,0.0001839859,0.00006728483,0.00004915039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059795086,0.0001031809,0.00011300131,0.000037761485,0.000056187033,0.000021915028,0.00007643007,0.00005641761,0.0005432614],"category_scores_gemma":[0.000017617738,0.00010013702,0.00003084161,0.00008285068,0.000033507193,0.00020400465,0.000016387845,0.000040873878,0.00013687591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029094697,0.00003066078,0.00023772234,0.00019834867,0.00004468921,8.2541976e-7,0.00022307492,0.9510733,0.01197088,0.014998579,0.020304237,0.0008886124],"study_design_scores_gemma":[0.0005135554,0.00004106835,0.00015484887,0.000019984238,0.0000066762796,0.0000021465005,0.000032500433,0.96047807,0.029174196,0.00039405833,0.008970905,0.0002119883],"about_ca_topic_score_codex":0.000023400182,"about_ca_topic_score_gemma":0.000054707267,"teacher_disagreement_score":0.6094184,"about_ca_system_score_codex":0.000053790056,"about_ca_system_score_gemma":0.000007117712,"threshold_uncertainty_score":0.5948332},"labels":[],"label_agreement":null},{"id":"W2915901518","doi":"10.1049/iet-com.2018.5203","title":"Evaluation of outage probability for uniformly distributed users based on signal‐to‐interference‐plus‐noise ratio","year":2019,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Toronto","funders":"","keywords":"Signal-to-interference-plus-noise ratio; Computer science; Interference (communication); Wireless network; Wireless; Signal-to-noise ratio (imaging); Probability density function; Stochastic geometry; Base station; Signal-to-interference ratio; Noise (video); Coverage probability; Stochastic geometry models of wireless networks; Telecommunications; Computer network; Statistics; Radio resource management; Mathematics; Power (physics); Artificial intelligence","score_opus":0.057609501881067796,"score_gpt":0.30616812235665647,"score_spread":0.2485586204755887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915901518","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":[0.021618212,0.000058148067,0.9725752,0.00025466812,0.00011409011,0.0030818116,0.00039899244,0.00018244349,0.0017164365],"genre_scores_gemma":[0.9693656,0.000006446883,0.029209767,0.000020212146,0.000008006658,0.0006221473,0.0007158983,0.000027736232,0.000024219438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888927,0.00016142544,0.000399184,0.00015831112,0.00024334755,0.00014846679],"domain_scores_gemma":[0.9970898,0.00033003514,0.0001048438,0.0016969967,0.0007236006,0.00005469866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092557736,0.00013560864,0.00019883913,0.00010577666,0.00007377996,0.00002104776,0.00049739395,0.000070597125,0.000049275448],"category_scores_gemma":[0.00023627956,0.00014482558,0.000064837855,0.00031187333,0.00003437681,0.00017276402,0.00005069699,0.000110774075,0.00003226188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019762387,0.00005526173,0.00032588912,0.00006505185,0.000019914003,5.937886e-9,0.00028278233,0.9947222,0.0022790593,0.0012367251,0.00012312992,0.00087023666],"study_design_scores_gemma":[0.0007698761,0.000094986244,0.00048609127,0.00010437508,0.00005218167,1.0737931e-7,0.00014648234,0.9947239,0.00224059,0.000756209,0.0004834651,0.00014172964],"about_ca_topic_score_codex":0.000013044169,"about_ca_topic_score_gemma":0.00011891624,"teacher_disagreement_score":0.94774735,"about_ca_system_score_codex":0.0004998532,"about_ca_system_score_gemma":0.00012248525,"threshold_uncertainty_score":0.59058154},"labels":[],"label_agreement":null},{"id":"W2917680281","doi":"10.1109/glocom.2018.8647635","title":"Semi-Blind Channel Estimation for Frequency-Selective Massive MIMO Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Orthogonality; Subcarrier; Channel (broadcasting); Computer science; MIMO; Channel state information; Fading; Frequency domain; Signal subspace; Subspace topology; Rank (graph theory); Precoding; Algorithm; Estimation; Telecommunications; Orthogonal frequency-division multiplexing; Mathematics; Artificial intelligence; Noise (video); Engineering; Wireless; Computer vision","score_opus":0.014035429611480847,"score_gpt":0.24777101745194538,"score_spread":0.23373558784046453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917680281","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":[0.00086085347,0.00014384867,0.9862849,0.000022273742,0.0009952696,0.0010376556,0.000021153677,0.00053392985,0.0101001],"genre_scores_gemma":[0.94923776,0.0000062323074,0.04925424,0.000011989972,0.0004365013,0.00036945505,0.00005046872,0.00005903704,0.0005743129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920094,0.000013575987,0.0002610226,0.00019507667,0.00008367884,0.00024569914],"domain_scores_gemma":[0.99935013,0.00006411394,0.000060980263,0.00017363048,0.0002948577,0.000056297773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009738138,0.0001583063,0.00017360444,0.00011508152,0.00009002927,0.000039901228,0.00008494998,0.000118267475,0.000014728246],"category_scores_gemma":[0.000079527985,0.0001565574,0.00003408113,0.00022653642,0.000025664123,0.00033625244,0.000008276419,0.00005763227,0.00007884421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014084019,0.000008306035,0.0000073767324,0.00013626079,0.00004771148,4.5241993e-7,0.00040132925,0.98712146,0.0045333705,0.0049309093,0.0023589411,0.00043980638],"study_design_scores_gemma":[0.0004090626,0.000084804655,0.000006573749,0.00005702408,0.000014326785,0.0000052698683,0.00019931175,0.982663,0.014367206,0.0018698558,0.00012626615,0.00019732233],"about_ca_topic_score_codex":0.000026939348,"about_ca_topic_score_gemma":0.000026078325,"teacher_disagreement_score":0.9483769,"about_ca_system_score_codex":0.00019124882,"about_ca_system_score_gemma":0.000017933418,"threshold_uncertainty_score":0.63842255},"labels":[],"label_agreement":null},{"id":"W2918504904","doi":"10.1109/acssc.2018.8645239","title":"Widely Linear Multiuser Precoding for One-dimensional Signalling","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Precoding; Zero-forcing precoding; Computer science; Transmission (telecommunications); Signal-to-noise ratio (imaging); Electronic engineering; Control theory (sociology); Mathematics; Algorithm; Telecommunications; MIMO; Engineering; Channel (broadcasting); Artificial intelligence","score_opus":0.05397238420143019,"score_gpt":0.2606182221934885,"score_spread":0.20664583799205832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918504904","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":[0.018441318,0.00043469033,0.97634524,0.000048468948,0.0021088081,0.00087217137,0.000060913324,0.0004909443,0.0011974438],"genre_scores_gemma":[0.95966494,0.000045672637,0.0387869,0.00007752698,0.0009661981,0.00009788734,0.000042605163,0.0000833322,0.00023493206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811655,0.000077722994,0.0005925251,0.0005090925,0.0002518187,0.00045230245],"domain_scores_gemma":[0.9988029,0.0002199604,0.00016978486,0.0002699117,0.0003498774,0.00018756808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034331504,0.00037238112,0.0004989842,0.00018111621,0.00024387719,0.00015936459,0.000211015,0.00017189392,0.000021532742],"category_scores_gemma":[0.00002676528,0.00037736972,0.000075074204,0.00012787615,0.000097312404,0.0002912104,0.0000450896,0.0001422557,0.00007220407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003246385,0.00017046457,0.00026046313,0.0014902739,0.0006768483,0.000012285764,0.0017136493,0.8990053,0.04984907,0.010508717,0.011662004,0.024326282],"study_design_scores_gemma":[0.0008295971,0.00032763625,0.000030567695,0.0009952312,0.000030250147,0.000010160629,0.00016683851,0.9925081,0.0025636945,0.0001324491,0.0019167124,0.0004887518],"about_ca_topic_score_codex":0.000022123317,"about_ca_topic_score_gemma":0.000009263649,"teacher_disagreement_score":0.9412236,"about_ca_system_score_codex":0.000082113955,"about_ca_system_score_gemma":0.000044907425,"threshold_uncertainty_score":0.9998678},"labels":[],"label_agreement":null},{"id":"W2918594466","doi":"10.1109/jstsp.2019.2901993","title":"Non-Orthogonal Multiple Access With Improper Gaussian Signaling","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Beamforming; Throughput; Relaxation (psychology); Transmitter; Mathematical optimization; Gaussian; Noma; Optimization problem; Algorithm; MIMO; Computational complexity theory; Transmitter power output; Wireless; Mathematics; Telecommunications; Telecommunications link","score_opus":0.010193760178539686,"score_gpt":0.23771094776684415,"score_spread":0.22751718758830447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918594466","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":[0.6846418,0.0003017673,0.31407285,0.000016790324,0.00021606835,0.00018665977,9.003351e-7,0.00004633488,0.00051687483],"genre_scores_gemma":[0.9882821,0.000015624699,0.011113589,0.00002085834,0.00043680408,0.000004531299,0.0000020678578,0.000059410933,0.00006503055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985284,0.000025003454,0.0006432115,0.00016613911,0.0003093952,0.0003278195],"domain_scores_gemma":[0.99899346,0.000042709846,0.00029780107,0.000095421834,0.0004818066,0.00008880217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021815725,0.00021643948,0.00036936335,0.00031340265,0.00005278159,0.00013359958,0.00028084032,0.000121875666,0.000031747706],"category_scores_gemma":[0.00001622736,0.00017707377,0.000041008003,0.0006882852,0.000023148013,0.0011957648,0.000013776495,0.0006042714,0.0000036659967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008256568,0.000031138876,0.026433876,0.00028761776,0.00003339867,0.00003851864,0.00036931658,0.8603689,0.10608173,0.0000026144808,0.000014916748,0.0062554097],"study_design_scores_gemma":[0.0036715446,0.0004245346,0.005850079,0.002723415,0.000057245798,0.00044251574,0.00024372472,0.81805897,0.16735257,0.00017280938,0.00019879169,0.0008037909],"about_ca_topic_score_codex":0.000004581677,"about_ca_topic_score_gemma":0.000015232243,"teacher_disagreement_score":0.30364034,"about_ca_system_score_codex":0.0001740953,"about_ca_system_score_gemma":0.00019282903,"threshold_uncertainty_score":0.7220859},"labels":[],"label_agreement":null},{"id":"W2919303497","doi":"10.1109/tvt.2019.2902014","title":"Multicell Massive MIMO: Downlink Rate Analysis With Linear Processing Under Ricean Fading","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities","keywords":"Telecommunications link; Fading; MIMO; Channel state information; Channel (broadcasting); Signal-to-noise ratio (imaging); Beamforming; Transmitter power output; Computer science; Transmission (telecommunications); Spectral efficiency; Mathematics; Electronic engineering; Algorithm; Control theory (sociology); Telecommunications; Engineering; Transmitter; Wireless","score_opus":0.005518760916910597,"score_gpt":0.21145159581820486,"score_spread":0.20593283490129427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919303497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16828963,0.00010299336,0.8297655,0.00009820734,0.00014284019,0.00037483303,0.000008531071,0.0010803142,0.00013714947],"genre_scores_gemma":[0.9769407,0.000035365763,0.022524524,0.000027651959,0.000015096013,0.00007064275,0.000009613091,0.000075731,0.0003007018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877316,0.000030013694,0.0003001463,0.00041053895,0.0001295614,0.0003565621],"domain_scores_gemma":[0.99920857,0.000041055722,0.000091079404,0.00047369758,0.00012915085,0.000056455698],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008695041,0.00028263128,0.00038757647,0.0010847283,0.0001288577,0.000026241672,0.00018418858,0.0003436362,0.00004616916],"category_scores_gemma":[0.0000025598574,0.0002641832,0.00010830948,0.0023044404,0.00006794004,0.00022667706,0.0000014590715,0.000512671,0.00013935275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014976096,0.00003680527,0.000068790396,0.0000640702,0.000422,0.000010739009,0.00006880892,0.96892977,0.028462002,0.00003075253,9.3675305e-7,0.0018903571],"study_design_scores_gemma":[0.00066519494,0.000079924364,0.000027230979,0.0000746403,0.0004483672,0.000010145658,0.0003740653,0.9190596,0.07879042,0.000026509835,0.0001059737,0.0003379546],"about_ca_topic_score_codex":0.0000082017,"about_ca_topic_score_gemma":0.000045273813,"teacher_disagreement_score":0.80865103,"about_ca_system_score_codex":0.00018022515,"about_ca_system_score_gemma":0.000022442657,"threshold_uncertainty_score":0.99998105},"labels":[],"label_agreement":null},{"id":"W2920160035","doi":"10.3390/s19051061","title":"Robust Distributed Collaborative Beamforming for Wireless Sensor Networks with Channel Estimation Impairments","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"Division of Administrative Services; Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Wireless sensor network; Channel (broadcasting); Computer science; Channel state information; Wireless; Node (physics); Ranging; Signal-to-noise ratio (imaging); Wireless network; Electronic engineering; Real-time computing; Computer network; Telecommunications; Engineering","score_opus":0.006596363708176575,"score_gpt":0.2011831345151606,"score_spread":0.19458677080698403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920160035","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":[0.2109889,0.00002309574,0.78710777,0.000013140235,0.00027161103,0.0010992725,0.00009512774,0.00028195488,0.00011916681],"genre_scores_gemma":[0.94422597,0.000011265278,0.05484681,0.000008981766,0.00007992734,0.00009275104,0.0004577956,0.00008142984,0.00019509702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991415,0.00001583283,0.00021786144,0.00020424124,0.000110705456,0.00030984372],"domain_scores_gemma":[0.99943995,0.00006688162,0.000088115354,0.00018064826,0.00016169413,0.00006270585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008120138,0.00020120644,0.00023158353,0.00006275808,0.000074314405,0.00003590296,0.00006423685,0.000097609234,0.000004660439],"category_scores_gemma":[0.000014709953,0.00018758484,0.000029029063,0.00034359877,0.000016611397,0.0002222374,0.000010028347,0.00008615343,0.000013287128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046537767,0.000008750462,0.00011681143,0.00008663939,0.000045047953,0.0000018090692,0.00027704652,0.9988636,0.00017852017,0.000024113124,0.00008462318,0.0002665394],"study_design_scores_gemma":[0.00085733645,0.00009219201,0.000050896633,0.000109580506,0.000019233894,0.000009729966,0.00079761975,0.99670225,0.0010134185,0.000007671109,0.00009773729,0.0002423153],"about_ca_topic_score_codex":0.000003901158,"about_ca_topic_score_gemma":0.0000091910015,"teacher_disagreement_score":0.733237,"about_ca_system_score_codex":0.00016456298,"about_ca_system_score_gemma":0.000014332136,"threshold_uncertainty_score":0.7649488},"labels":[],"label_agreement":null},{"id":"W2920754862","doi":"10.1109/acssc.2018.8645432","title":"Multi-Layer Linear Processing for Uplink Massive MIMO Systems in the Presence of Unequal-Power Co-Channel Interferers","year":2018,"lang":"en","type":"article","venue":"2018 52nd Asilomar Conference on Signals, Systems, and Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"MIMO; Telecommunications link; Channel (broadcasting); Computer science; Antenna (radio); Layer (electronics); Power (physics); Maximal-ratio combining; Range (aeronautics); Computational complexity theory; Physical layer; Algorithm; Computer engineering; Electronic engineering; Telecommunications; Wireless; Fading; Engineering; Materials science","score_opus":0.05531999690838995,"score_gpt":0.2925644503705544,"score_spread":0.23724445346216444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920754862","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":[0.010891018,0.0012972753,0.9838906,0.000046678986,0.0014253815,0.0015345244,0.000066026696,0.00013437275,0.0007141241],"genre_scores_gemma":[0.9963304,0.000051453375,0.0029761726,0.000032722124,0.00024007428,0.00021515171,0.000020962865,0.00005496242,0.00007813159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783593,0.00019147366,0.00081521197,0.00046419117,0.00026440225,0.00042877495],"domain_scores_gemma":[0.9985165,0.00025997747,0.00033896795,0.00038971694,0.00039589446,0.00009892395],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006033532,0.00038296267,0.0006042883,0.00023484102,0.00013744314,0.00017408961,0.0004256016,0.00018763782,0.0000036216775],"category_scores_gemma":[0.000044968972,0.00030396148,0.00006461849,0.00022753277,0.00018944446,0.00028639054,0.000040128412,0.00018648223,0.000013526207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035228758,0.00026532044,0.00024655997,0.0044593336,0.00028895843,0.00002150938,0.018369775,0.9500401,0.012418297,0.0038635328,0.0054647652,0.004209569],"study_design_scores_gemma":[0.0009162055,0.00040256238,0.00004849444,0.0020810158,0.000017060356,0.000009189985,0.0054507237,0.9897234,0.00053103577,0.000021469583,0.0004475531,0.0003513296],"about_ca_topic_score_codex":0.00006962787,"about_ca_topic_score_gemma":0.000011683371,"teacher_disagreement_score":0.98543936,"about_ca_system_score_codex":0.00007254466,"about_ca_system_score_gemma":0.00006144629,"threshold_uncertainty_score":0.99994123},"labels":[],"label_agreement":null},{"id":"W2920856460","doi":"10.1109/tsp.2019.2905833","title":"Multi-User Regularized Zero-Forcing Beamforming","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Computational Science and Technology; Queen's University; Queen's University Belfast; Royal Academy of Engineering; National Science Foundation","keywords":"Beamforming; Zero (linguistics); Computer science; Signal processing; Mathematics; Algorithm; Speech recognition; Telecommunications; Radar","score_opus":0.012046312668513756,"score_gpt":0.22890755230732557,"score_spread":0.21686123963881182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920856460","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":[0.010476139,0.0001109572,0.9872913,0.000008117214,0.0004115573,0.00036437775,0.0000050971194,0.000744767,0.0005876941],"genre_scores_gemma":[0.9209053,0.000009398543,0.077023156,0.000030649284,0.000036916113,0.000041039006,0.0000032008859,0.0000989013,0.0018514185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881023,0.000018778912,0.00035480916,0.00028093022,0.00019265905,0.00034260814],"domain_scores_gemma":[0.99953324,0.00004101237,0.0000667498,0.00020043497,0.000076045224,0.00008251442],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013113022,0.0002468574,0.00025067478,0.00021283988,0.00020038249,0.00008051785,0.000127695,0.00013892307,0.00009440334],"category_scores_gemma":[0.0000015205562,0.0002605938,0.000086357504,0.0003607664,0.000022029819,0.00083491404,8.232162e-7,0.0003258162,0.00013807813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017014574,0.0000220565,0.000007751845,0.00017696866,0.000019281972,0.0000013851434,0.00028515147,0.83516663,0.13980578,0.0000043204464,0.0000052313067,0.024488427],"study_design_scores_gemma":[0.0008931498,0.000030923235,0.000004465552,0.00036043618,0.000026868489,0.0000158106,0.00016212517,0.8640694,0.13378537,0.000022865814,0.0002991708,0.0003293892],"about_ca_topic_score_codex":0.000004653089,"about_ca_topic_score_gemma":0.0000044230837,"teacher_disagreement_score":0.9104292,"about_ca_system_score_codex":0.00016734269,"about_ca_system_score_gemma":0.00003164493,"threshold_uncertainty_score":0.9999846},"labels":[],"label_agreement":null},{"id":"W2921443056","doi":"10.1049/cp.2018.1386","title":"Impact of IoT Device Saturation on Home WiFi Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Workload; Computer network; Internet of Things; Home automation; Embedded system; Telecommunications; Operating system","score_opus":0.008694979045711884,"score_gpt":0.2511581389191692,"score_spread":0.24246315987345735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921443056","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":[0.16166139,0.00005308877,0.82316405,0.0000037036586,0.00031140985,0.00013762907,0.0000018850353,0.0002169599,0.014449899],"genre_scores_gemma":[0.9952694,0.0000075878384,0.004279525,0.000008458549,0.00020813337,0.0000031494706,0.000008532171,0.000020434098,0.00019474768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961805,0.000008400767,0.00014193062,0.00007347896,0.000050014747,0.00010809821],"domain_scores_gemma":[0.99970603,0.0000224338,0.000029371722,0.00014836385,0.00006546009,0.000028344422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040080653,0.000080734,0.00009482606,0.000064596185,0.00001777987,0.000007854382,0.000044461372,0.000057507925,0.000068880705],"category_scores_gemma":[0.00001062503,0.00006706836,0.000030279849,0.00021137818,0.00001272409,0.000084313855,0.000005108387,0.000046751637,0.00003493217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009077165,0.0000049429805,0.00038565096,0.000007964922,0.000015859865,1.2042591e-7,0.00004990563,0.9934737,0.0030225592,0.00032691227,0.0006549496,0.0020483567],"study_design_scores_gemma":[0.00018963027,0.00016063947,0.0073831812,0.000035894027,0.0000049822816,0.0000018737855,0.000010110145,0.98896897,0.0030003537,0.000032798336,0.000090927366,0.00012065006],"about_ca_topic_score_codex":0.000013866878,"about_ca_topic_score_gemma":0.000018484106,"teacher_disagreement_score":0.83360803,"about_ca_system_score_codex":0.00007311113,"about_ca_system_score_gemma":0.000005258504,"threshold_uncertainty_score":0.27349684},"labels":[],"label_agreement":null},{"id":"W2922001388","doi":"10.1109/tvt.2019.2903822","title":"Dynamic Resource Allocation for LTE-Based Vehicle-to-Infrastructure Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Natural Science Foundation of China","keywords":"Mathematical optimization; Resource allocation; Computer science; Telecommunications link; Precoding; Subcarrier; Benchmark (surveying); Optimization problem; Particle swarm optimization; Computational complexity theory; Minification; Channel (broadcasting); Algorithm; Mathematics; Orthogonal frequency-division multiplexing; Computer network; MIMO","score_opus":0.002924699238220824,"score_gpt":0.20004227868771798,"score_spread":0.19711757944949715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922001388","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.042086523,0.00007700122,0.95429134,0.00037757086,0.0005602869,0.0011741855,0.000021067417,0.0013627665,0.00004928525],"genre_scores_gemma":[0.97595793,0.000009435524,0.023258256,0.00012044844,0.000017703876,0.00037912105,0.000026782152,0.00009882526,0.00013148198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989111,0.000017076432,0.0002723459,0.00035025273,0.00010215593,0.00034708157],"domain_scores_gemma":[0.9991943,0.0000548343,0.000045564568,0.0005601758,0.00008426332,0.000060842332],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007571769,0.0002362451,0.0002465575,0.00051853753,0.000099438534,0.00001696371,0.00022728482,0.00048449356,0.000022521788],"category_scores_gemma":[0.00000588066,0.0002648314,0.00009134538,0.00071630225,0.000033141892,0.000082873106,0.0000011090498,0.0003673477,0.00006463804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028859298,0.00001808315,0.00000858914,0.00004704433,0.000034638793,8.9258555e-7,0.000015372549,0.96329325,0.022110198,0.00008194804,0.00007011685,0.014290986],"study_design_scores_gemma":[0.0006911719,0.00015175142,0.00001222881,0.00006198045,0.000028631044,0.0000064951755,0.00004776931,0.962334,0.033114795,0.00008726662,0.0032051783,0.0002587745],"about_ca_topic_score_codex":0.0000014444938,"about_ca_topic_score_gemma":0.00001527042,"teacher_disagreement_score":0.93387145,"about_ca_system_score_codex":0.0002604848,"about_ca_system_score_gemma":0.000018304756,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W2923947164","doi":"10.1109/tcomm.2019.2906590","title":"Optimal Energy-Efficient Beamforming Designs for Cloud-RANs With Rate-Dependent Fronthaul Power","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Science Foundation Ireland","keywords":"Beamforming; Computer science; Efficient energy use; Mathematical optimization; Cloud computing; Telecommunications link; Reynolds-averaged Navier–Stokes equations; Relaxation (psychology); Transmitter power output; Karush–Kuhn–Tucker conditions; Remote radio head; Optimization problem; Algorithm; Wireless; Mathematics; Cognitive radio; Transmitter; Computer network; Engineering; Telecommunications; Computational fluid dynamics; Electrical engineering","score_opus":0.01710808998195311,"score_gpt":0.23506207642341417,"score_spread":0.21795398644146108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923947164","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":[0.0036651082,0.00016347006,0.99179417,0.00010632432,0.00056439184,0.00083904923,0.00011851515,0.00048047455,0.0022685202],"genre_scores_gemma":[0.91700363,0.000114474744,0.081258945,0.00003366666,0.000017410639,0.00059402455,0.000033817636,0.00010036021,0.00084368425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988981,0.000061951156,0.00034693273,0.00024131866,0.00013816793,0.00031352477],"domain_scores_gemma":[0.9979317,0.0003042583,0.000067942216,0.0014673746,0.00013602761,0.00009265628],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016711545,0.00024802712,0.00023858881,0.00018510886,0.00035419053,0.00004562186,0.0005117647,0.00011300465,0.00007053777],"category_scores_gemma":[0.000002766618,0.000249146,0.00010439612,0.00026731595,0.00005740727,0.00020609573,0.0000033226092,0.00025522814,0.00006133725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045114328,0.00013520232,0.0000020839284,0.00002014667,0.00008539042,2.2942416e-7,0.00045229495,0.99410903,0.0039219963,0.00050973403,0.000051214734,0.0006675687],"study_design_scores_gemma":[0.0012723427,0.00021635774,0.0000048322845,0.00011076715,0.00008299067,0.000012576519,0.00073226396,0.968617,0.02393725,0.000027568178,0.0045403866,0.0004456684],"about_ca_topic_score_codex":0.000027805172,"about_ca_topic_score_gemma":0.0001661624,"teacher_disagreement_score":0.9133385,"about_ca_system_score_codex":0.0002440408,"about_ca_system_score_gemma":0.000046592082,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W2927073559","doi":"10.1109/access.2019.2904539","title":"Deep Reinforcement Learning for Router Selection in Network With Heavy Traffic","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Key Laboratory of Universal Wireless Communications of Ministry of Education; Natural Science Foundation of Beijing Municipality; Beijing University of Posts and Telecommunications; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Reinforcement learning; Routing protocol; Network congestion; Distributed computing; Static routing; Wireless network; Router; Markov decision process; Routing (electronic design automation); Markov process; Wireless; Artificial intelligence; Network packet; Telecommunications","score_opus":0.00920604080058962,"score_gpt":0.23831313416120134,"score_spread":0.22910709336061172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927073559","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":[0.1313888,0.000041406605,0.8670783,0.000004519151,0.0003076857,0.0005501837,6.426305e-8,0.00016917991,0.00045984707],"genre_scores_gemma":[0.9968512,0.0000097623,0.0025435193,0.000016771492,0.00015568997,0.00011948616,0.000009080036,0.000039887327,0.0002545868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940914,0.000010003432,0.00016450799,0.00013087083,0.000062031184,0.00022345276],"domain_scores_gemma":[0.9998101,0.000028944267,0.000038636234,0.00006875616,0.00003111496,0.000022430619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007590103,0.00010067819,0.00012716846,0.00006147009,0.000031048898,0.000045781097,0.00008304527,0.00005113862,0.000015143938],"category_scores_gemma":[0.000003417138,0.00009734828,0.000016823627,0.0002447671,0.0000033484384,0.00045460867,0.000005968871,0.0001026968,0.000011173576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003725727,0.0000028557592,0.0031219055,0.000071149676,0.000010932602,2.9440835e-7,0.00011356604,0.9951985,0.000100944184,0.00001290861,0.000080029014,0.0012496798],"study_design_scores_gemma":[0.00056116923,0.0000647131,0.00032201392,0.00006978169,0.0000046442415,0.0000020878997,0.000018051276,0.9977007,0.0006403112,0.0000068395443,0.00047567498,0.00013401281],"about_ca_topic_score_codex":0.000008492472,"about_ca_topic_score_gemma":0.00014938234,"teacher_disagreement_score":0.8654624,"about_ca_system_score_codex":0.00011816681,"about_ca_system_score_gemma":0.000007259634,"threshold_uncertainty_score":0.39697477},"labels":[],"label_agreement":null},{"id":"W2927647085","doi":"10.1002/ett.3607","title":"Distributed energy‐efficient channel assignment in cognitive mesh network for IoT systems","year":2019,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Computer science; Scalability; Cognitive radio; Distributed computing; Energy consumption; Efficient energy use; Channel (broadcasting); Computer network; Internet of Things; Greedy algorithm; Wireless sensor network; Optimization problem; Wireless; Computer security; Telecommunications; Engineering","score_opus":0.015039427513537665,"score_gpt":0.24621410640565594,"score_spread":0.2311746788921183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2927647085","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":[0.0031865072,0.0011797225,0.9909818,0.00033690728,0.00035255545,0.0010692582,0.00013627985,0.0023879886,0.00036894422],"genre_scores_gemma":[0.98727536,0.0005125279,0.009981689,0.0000072449716,0.00000894308,0.0019407101,0.000115372895,0.00005456539,0.00010360348],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987238,0.00004429764,0.00045548545,0.0002628153,0.00010932482,0.00040428367],"domain_scores_gemma":[0.99862635,0.00034200092,0.00009150447,0.00082482287,0.00009058782,0.00002474059],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018746029,0.00023844356,0.00029515236,0.0003875414,0.00022601963,0.000031528205,0.00044990648,0.0002038833,0.000010453222],"category_scores_gemma":[0.0000310332,0.00026301533,0.00007678786,0.0009625664,0.00005877027,0.00006116484,0.000014778218,0.0003206104,0.000013936563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011251535,0.00008937195,0.000017507959,0.00003725961,0.00005695978,1.8554832e-7,0.00008309636,0.9924511,0.0001307241,0.0019987475,0.00009706369,0.0050267717],"study_design_scores_gemma":[0.0005593443,0.0000649978,0.00001893905,0.00030717562,0.000026202211,0.0000025516113,0.003106127,0.99213654,0.001874425,0.00037876872,0.0012185706,0.00030635874],"about_ca_topic_score_codex":0.00002994157,"about_ca_topic_score_gemma":0.000065638014,"teacher_disagreement_score":0.98408884,"about_ca_system_score_codex":0.00035718773,"about_ca_system_score_gemma":0.000022026188,"threshold_uncertainty_score":0.9999822},"labels":[],"label_agreement":null},{"id":"W2936130884","doi":"","title":"Energy-aware resource allocation in next generation wireless networks : application in large-scale MIMO Systems","year":2018,"lang":"en","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"École de technologie supérieure","keywords":"MIMO; Computer science; Scheduling (production processes); Multi-user MIMO; Resource allocation; Telecommunications link; Wireless; Wireless network; Energy consumption; Computer network; Radio resource management; Base station; Distributed computing; Engineering; Telecommunications; Mathematical optimization; Electrical engineering; Channel (broadcasting); Mathematics","score_opus":0.01212054251096149,"score_gpt":0.23151853429222122,"score_spread":0.21939799178125974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936130884","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":[0.16885424,0.0015951414,0.8195725,0.000627605,0.00038219025,0.0018251974,0.00003508088,0.0067668785,0.00034113147],"genre_scores_gemma":[0.99113566,0.00054294936,0.0044642887,0.00017424351,0.0003620946,0.00250383,0.00028027932,0.00026928444,0.00026736807],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947251,0.00018018561,0.001296872,0.0014047868,0.0004406813,0.0019523639],"domain_scores_gemma":[0.9968371,0.00016159914,0.00038777906,0.0021326481,0.00030329573,0.0001775773],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001091317,0.0009266114,0.0009492136,0.0016308324,0.00028324028,0.00022062474,0.0015583228,0.0027406416,0.000010194456],"category_scores_gemma":[0.0003016187,0.0010823489,0.00013837454,0.004371427,0.0003955338,0.0007536295,0.0004104621,0.0015959122,0.000040128154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006327448,0.0002029584,0.015417756,0.00013908156,0.00003569336,0.000071628085,0.00052018964,0.94612515,0.025197165,0.0018125961,0.0021012635,0.008313221],"study_design_scores_gemma":[0.0011938446,0.00020341817,0.00067870185,0.00025881242,0.000027900916,0.000067812565,0.005781595,0.96875614,0.014000267,0.00025889132,0.00774622,0.0010263777],"about_ca_topic_score_codex":0.00034473595,"about_ca_topic_score_gemma":0.011315529,"teacher_disagreement_score":0.8222814,"about_ca_system_score_codex":0.0016551863,"about_ca_system_score_gemma":0.00017854333,"threshold_uncertainty_score":0.9991627},"labels":[],"label_agreement":null},{"id":"W2936594818","doi":"10.1109/vtcfall.2018.8690945","title":"On the Resource Allocation in HetNets with Massive MIMO Wireless Backhaul","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Moncton; École de Technologie Supérieure","funders":"","keywords":"MIMO; Computer science; Base station; Transmitter power output; Backhaul (telecommunications); Spatial multiplexing; Computer network; Wireless; Wireless network; Heterogeneous network; Multiplexing; Transmission (telecommunications); Telecommunications; Transmitter; Channel (broadcasting)","score_opus":0.007170189207869875,"score_gpt":0.20216108284432469,"score_spread":0.1949908936364548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936594818","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":[0.2418826,0.000031769046,0.65255034,0.00066995417,0.0001339663,0.00062508386,0.00000170715,0.00035965527,0.103744894],"genre_scores_gemma":[0.9974451,0.000003301387,0.0016424684,0.00011610303,0.000058989797,0.000034057546,0.000005170404,0.000028605084,0.0006661909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995183,0.000023500426,0.00011730003,0.000118683245,0.00008604748,0.00013620651],"domain_scores_gemma":[0.9996245,0.00006692291,0.000022899829,0.0002250442,0.000038542636,0.000022085293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078362646,0.00009441413,0.00007530765,0.000050399696,0.000035424815,0.00001554694,0.000087953566,0.00004249118,0.000065793276],"category_scores_gemma":[0.000014670295,0.000061018785,0.00000839472,0.00021111219,0.00003415032,0.00008270231,0.0000087432345,0.00007854871,0.00009735258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003303909,0.00001602432,0.00018718149,0.000020415966,0.000015142639,0.0000030075728,0.0007855912,0.97726953,0.0019366787,0.014117355,0.0038828114,0.0017332189],"study_design_scores_gemma":[0.00072259485,0.00018178781,0.0007093127,0.00024821956,0.0000065020013,0.0000070752158,0.0010707377,0.9635984,0.028570335,0.00037859677,0.004148337,0.00035812508],"about_ca_topic_score_codex":0.000015877536,"about_ca_topic_score_gemma":0.0002724383,"teacher_disagreement_score":0.7555625,"about_ca_system_score_codex":0.00007412914,"about_ca_system_score_gemma":0.0000061845635,"threshold_uncertainty_score":0.24882738},"labels":[],"label_agreement":null},{"id":"W2936875133","doi":"10.1109/vtcfall.2018.8690924","title":"A Speed-Aware Joint Handover Approach for Clusters of D2D Devices","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Handover; Computer science; Base station; Computer network; Exploit; Multicast; Wireless; RSS; Enhanced Data Rates for GSM Evolution; Joint (building); Mobile device; Mobile telephony; Cellular network; Mobile radio; Telecommunications; Engineering","score_opus":0.02144038793142819,"score_gpt":0.23403829024958633,"score_spread":0.21259790231815814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936875133","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":[0.0021354903,0.00004366129,0.98107475,0.0000059154236,0.00015276534,0.0003532872,0.0000075764456,0.00014817242,0.016078359],"genre_scores_gemma":[0.87088054,0.0000023470943,0.128382,0.00002087646,0.000117409036,0.000015438247,0.000014524153,0.00002707982,0.0005397629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952686,0.000004530596,0.00018591621,0.00010240675,0.00005438925,0.00012591037],"domain_scores_gemma":[0.9997018,0.000015340667,0.000035410194,0.00013679938,0.0000822894,0.000028332799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006265692,0.00008485343,0.0001426748,0.0000500667,0.00002124035,0.0000086741975,0.00005805715,0.000046623398,0.000030412097],"category_scores_gemma":[0.000009033776,0.00007512542,0.00003826059,0.000082876,0.000023261502,0.00012844837,0.000013965699,0.000022844666,0.000007721507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004223224,0.000040065017,0.00029542219,0.0012617067,0.00011958539,2.5729955e-7,0.0010404128,0.974098,0.011629912,0.0006596887,0.0076279836,0.0031847355],"study_design_scores_gemma":[0.00044613262,0.000038129292,0.000023969691,0.000025589321,0.000010248042,0.0000018542651,0.0002514796,0.97385937,0.02455452,0.000023597493,0.00065758644,0.00010752278],"about_ca_topic_score_codex":0.000009274541,"about_ca_topic_score_gemma":0.00001729943,"teacher_disagreement_score":0.8687451,"about_ca_system_score_codex":0.000029437224,"about_ca_system_score_gemma":0.0000047836497,"threshold_uncertainty_score":0.3063526},"labels":[],"label_agreement":null},{"id":"W2937674856","doi":"10.1109/vtcfall.2018.8690791","title":"Channel Estimation for MU-MIMO Systems with Some Inactive Users","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Minimum mean square error; MIMO; Estimator; Computer science; Channel (broadcasting); Algorithm; Mean squared error; Monte Carlo method; Computation; Computational complexity theory; Filter (signal processing); Mathematics; Statistics; Telecommunications","score_opus":0.010465926577858184,"score_gpt":0.22517011025699832,"score_spread":0.21470418367914013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937674856","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":[0.003084804,0.000046148984,0.9930653,0.000012963399,0.00047670625,0.00070641964,0.000008180314,0.0004802984,0.0021192082],"genre_scores_gemma":[0.97087455,0.0000033523186,0.028118135,0.000012404887,0.00023191689,0.00020962534,0.000020839872,0.00005122341,0.0004779556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99948037,0.0000066201596,0.00014033646,0.00013295932,0.00006728746,0.00017241325],"domain_scores_gemma":[0.9996207,0.000032593558,0.000039176186,0.00014374002,0.00012239304,0.00004144902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058975464,0.00011866372,0.00013171103,0.0000747448,0.000058763504,0.000028558366,0.00005369983,0.000056833687,0.000004260327],"category_scores_gemma":[0.000017581307,0.000101244244,0.000015078392,0.00011499545,0.000023364842,0.00052475755,0.0000058178834,0.00003401292,0.00003264311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016928963,0.000004948957,0.000009536818,0.000106996755,0.000028884413,2.5938905e-7,0.0002506841,0.9967303,0.00028724127,0.0019571914,0.00040611357,0.00020086527],"study_design_scores_gemma":[0.00038834254,0.00011975703,0.000022262662,0.00006440274,0.000011362924,0.000005150249,0.0003683805,0.994943,0.0035751648,0.00013575602,0.00021251857,0.00015390546],"about_ca_topic_score_codex":0.00002577089,"about_ca_topic_score_gemma":0.000025134603,"teacher_disagreement_score":0.96778977,"about_ca_system_score_codex":0.00013040699,"about_ca_system_score_gemma":0.000009252329,"threshold_uncertainty_score":0.41286206},"labels":[],"label_agreement":null},{"id":"W2938187009","doi":"10.1109/vtcfall.2018.8690559","title":"Iterative Weighted Nuclear Norm Minimization-Based Channel Estimation for Massive Multi-User MIMO Systems","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"MIMO; Minification; Algorithm; Mathematical optimization; Matrix norm; Compressed sensing; Iterative method; Computer science; Regularization (linguistics); Norm (philosophy); Channel (broadcasting); Mathematics; Eigenvalues and eigenvectors; Telecommunications; Artificial intelligence; Physics","score_opus":0.012189756119710734,"score_gpt":0.23602011567014275,"score_spread":0.223830359550432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938187009","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":[0.00067826564,0.000040484396,0.99551314,0.000057644433,0.00083800586,0.0012545508,0.00005587787,0.000710714,0.00085132994],"genre_scores_gemma":[0.68367463,0.0000031860122,0.31413287,0.00006618797,0.0002749943,0.00029108996,0.0002439472,0.000128223,0.0011848547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989823,0.000025261572,0.00037875707,0.00024992434,0.00010886911,0.00025490142],"domain_scores_gemma":[0.9990459,0.000095653355,0.00010138555,0.0002307186,0.0004487039,0.00007761511],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070901646,0.00022690037,0.00022539795,0.00016645505,0.00015604333,0.00008702279,0.00010777407,0.00014079543,0.00006108601],"category_scores_gemma":[0.00006701504,0.00021913322,0.000049257596,0.00025278277,0.000039165785,0.00040103638,0.000010399121,0.00005480069,0.000112267175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002193727,0.000026044021,0.000008104604,0.00014904253,0.000037311067,5.276329e-7,0.0006274828,0.9937735,0.0008897539,0.002301293,0.0019632673,0.00020172332],"study_design_scores_gemma":[0.00088184775,0.00007929713,0.000009713933,0.000097883625,0.00001923699,0.0000011463176,0.00024951992,0.9921063,0.004766239,0.00003474594,0.0014861526,0.00026787366],"about_ca_topic_score_codex":0.00001340319,"about_ca_topic_score_gemma":0.000018317804,"teacher_disagreement_score":0.6829964,"about_ca_system_score_codex":0.00016237728,"about_ca_system_score_gemma":0.00001879884,"threshold_uncertainty_score":0.89359933},"labels":[],"label_agreement":null},{"id":"W2939750159","doi":"10.1109/vtcfall.2018.8690755","title":"Efficient Group-Sparse Transceiver Design for Multiuser MIMO Relaying in C-RAN","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Transceiver; MIMO; Relay; Radio access network; Iterative method; Efficient energy use; Precoding; Decoding methods; C-RAN; Wireless; Computational complexity theory; Transmitter power output; Mathematical optimization; Electronic engineering; Algorithm; Base station; Power (physics); Computer network; Beamforming; Telecommunications; Transmitter; Mathematics; Engineering; Mobile station; Electrical engineering; Channel (broadcasting)","score_opus":0.02412008153060419,"score_gpt":0.23815632764421216,"score_spread":0.21403624611360797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939750159","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":[0.026044058,0.00006307606,0.97113955,0.000012413749,0.00030148818,0.0007373137,0.000002543061,0.0002883673,0.0014112173],"genre_scores_gemma":[0.82082003,0.0000035136059,0.17882203,0.000016970742,0.00006327912,0.000085475316,0.0000032285936,0.000043602686,0.0001418746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925816,0.000019112167,0.00023040653,0.00017667576,0.00006142804,0.00025424085],"domain_scores_gemma":[0.99965274,0.000094143026,0.000017391838,0.00015302087,0.00003991743,0.000042803596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017951647,0.0001279228,0.00013636798,0.00010772859,0.000043288408,0.000011959591,0.000078428195,0.00007888563,0.00003688767],"category_scores_gemma":[0.000028924447,0.00012590793,0.000036393896,0.0001712117,0.000022339103,0.00007690713,0.0000041994276,0.000058104648,0.00004143121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024165147,0.000018678013,0.000044530516,0.00003507326,0.000007489167,9.2641886e-7,0.00096717634,0.98521906,0.012537806,0.0002445889,0.00018490427,0.00071557093],"study_design_scores_gemma":[0.0010069185,0.000045204844,0.000096800046,0.00004523161,0.0000062823437,0.0000014747711,0.0001270999,0.99073964,0.0073089907,0.000040552743,0.00040694952,0.00017484676],"about_ca_topic_score_codex":0.000013123082,"about_ca_topic_score_gemma":0.000079469064,"teacher_disagreement_score":0.79477596,"about_ca_system_score_codex":0.00008761361,"about_ca_system_score_gemma":0.0000049553705,"threshold_uncertainty_score":0.5134376},"labels":[],"label_agreement":null},{"id":"W2940016297","doi":"10.1109/vtcfall.2018.8690938","title":"Energy Efficient Pilot and Data Power Allocation in Massive MIMO Communication Systems Under Consideration of Circuit Power","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Computer science; MIMO; Power (physics); Transmission (telecommunications); Maximum power principle; Electronic engineering; Optimization problem; Geometric programming; Computer network; Engineering; Electrical engineering; Telecommunications; Voltage; Algorithm","score_opus":0.034415847775126636,"score_gpt":0.26026859420667803,"score_spread":0.2258527464315514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940016297","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":[0.032963905,0.0008639654,0.9581527,0.00004804317,0.0002508061,0.00031844477,0.00001438106,0.000107970576,0.0072797765],"genre_scores_gemma":[0.99799883,0.000056699108,0.0016754706,0.000023407712,0.00001525801,0.00001846922,0.000117921445,0.000024549077,0.00006937016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991025,0.000072103656,0.00039299502,0.0002000031,0.00011046227,0.00012196324],"domain_scores_gemma":[0.99888664,0.00009130474,0.00009540235,0.0007262544,0.00016789071,0.00003250948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002338936,0.00011382975,0.0001625997,0.00014026466,0.00004127575,0.000033000593,0.00015580736,0.00006695668,0.000027525026],"category_scores_gemma":[0.000039929037,0.000118035096,0.000006773448,0.00018400264,0.00007199247,0.00026763068,0.00007278218,0.000052568193,0.0000055632704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011873642,0.000056310833,0.0001722649,0.00004541353,0.000030344723,3.7295902e-7,0.0006032976,0.8958626,0.01636957,0.08613194,0.000564313,0.00015173691],"study_design_scores_gemma":[0.00054758455,0.000077503064,0.0006405919,0.00012954642,0.0000093876,0.0000067138344,0.00090832595,0.9943563,0.002622653,0.00028852184,0.00023151808,0.00018138072],"about_ca_topic_score_codex":0.00023546326,"about_ca_topic_score_gemma":0.0003631849,"teacher_disagreement_score":0.96503496,"about_ca_system_score_codex":0.0000933595,"about_ca_system_score_gemma":0.000020689351,"threshold_uncertainty_score":0.48133314},"labels":[],"label_agreement":null},{"id":"W2940469682","doi":"10.1109/tcomm.2019.2913413","title":"Reconfigurable and Traffic-Aware MAC Design for Virtualized Wireless Networks via Reinforcement Learning","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Reinforcement learning; Partition (number theory); Scalability; Network packet; Wireless network; Wireless; Partition problem; Scheme (mathematics); Throughput; Monomial; Distributed computing; Computer network; Machine learning","score_opus":0.02175654600213309,"score_gpt":0.24307007761138175,"score_spread":0.22131353160924866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940469682","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":[0.0005931426,0.00021331165,0.9965196,0.00006865439,0.00028717765,0.0011558267,0.0000077919485,0.00044811887,0.00070633175],"genre_scores_gemma":[0.9846212,0.001278582,0.01228615,0.000022514716,0.000012745254,0.0005577841,0.00003988393,0.00006719285,0.0011138998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991168,0.00009075226,0.00033146952,0.00017393558,0.00006892498,0.00021815218],"domain_scores_gemma":[0.998562,0.00046418232,0.0000657138,0.00076068146,0.000079874044,0.00006754642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019038389,0.0001755326,0.00021393837,0.00011803737,0.00035497735,0.000041813357,0.00025647096,0.00011724486,0.00005847145],"category_scores_gemma":[0.000002940283,0.00020423016,0.00006348415,0.0001977569,0.000038106326,0.0002254169,0.0000016357586,0.00031592426,0.000026942413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025142503,0.000022419965,7.7901944e-7,0.000033854034,0.000052590025,4.7211714e-8,0.00023648828,0.98183006,0.0011568184,0.000075095806,0.000051076433,0.016515609],"study_design_scores_gemma":[0.0007248063,0.00009704274,0.0000011131322,0.00007875933,0.000036051606,0.000004225584,0.0001912837,0.994945,0.0021835568,0.000017759923,0.0015069691,0.00021343921],"about_ca_topic_score_codex":0.000008931065,"about_ca_topic_score_gemma":0.00002780038,"teacher_disagreement_score":0.9842335,"about_ca_system_score_codex":0.00010959206,"about_ca_system_score_gemma":0.000015685062,"threshold_uncertainty_score":0.83282644},"labels":[],"label_agreement":null},{"id":"W2940648595","doi":"10.1109/twc.2019.2912370","title":"Generalized Channel Estimation and User Detection for Massive Connectivity With Mixed-ADC Massive MIMO","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Ministry of Science and Technology, Taiwan; Queen's University; National Natural Science Foundation of China; Queen's University Belfast; National Science Foundation","keywords":"Computer science; MIMO; Channel (broadcasting); Overhead (engineering); Telecommunications link; Channel state information; Transmission (telecommunications); Base station; Joint (building); User equipment; Compressed sensing; Real-time computing; Algorithm; Computer engineering; Electronic engineering; Wireless; Computer network; Telecommunications; Engineering","score_opus":0.01477642285119524,"score_gpt":0.23869005944727606,"score_spread":0.22391363659608082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940648595","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":[0.09683409,0.00008124656,0.90063655,0.00018310016,0.00033046823,0.001342493,0.000097084485,0.00038003275,0.000114902956],"genre_scores_gemma":[0.96931833,0.000239401,0.029022953,0.000021214815,0.00001551027,0.0011006204,0.000044010845,0.00008180767,0.00015614842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990258,0.00008987365,0.00028044995,0.00026666114,0.00011206388,0.00022512834],"domain_scores_gemma":[0.9983465,0.0003537636,0.00010997241,0.0009277488,0.0001833802,0.00007863448],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010592683,0.00024565659,0.00027611,0.00020878411,0.00037713593,0.000054024367,0.00021848538,0.00014645742,0.000009306132],"category_scores_gemma":[0.0000062187705,0.00025517598,0.00006518706,0.00030811536,0.00008427894,0.00047993357,0.0000035465473,0.00025753587,0.00001920717],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006064175,0.00006810632,0.000008590751,0.00008783047,0.00009654765,1.5936298e-7,0.00028465656,0.9782853,0.009702375,0.0005211578,0.000015157215,0.010869465],"study_design_scores_gemma":[0.0013446378,0.00013020905,0.00006530125,0.000101578364,0.0000749311,0.000008252184,0.000291843,0.94850814,0.048873745,0.0001256235,0.00016711408,0.0003086043],"about_ca_topic_score_codex":0.000039499962,"about_ca_topic_score_gemma":0.0005882293,"teacher_disagreement_score":0.87248427,"about_ca_system_score_codex":0.00018884725,"about_ca_system_score_gemma":0.000024547662,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W2940781481","doi":"10.1186/s13638-019-1366-8","title":"Diversity gain of millimeter-wave massive MIMO systems with distributed antenna arrays","year":2019,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Liaoning Province","keywords":"Diversity gain; Computer science; Antenna (radio); MIMO; Transmitter; Distributed antenna system; Diversity scheme; Antenna diversity; Extremely high frequency; Antenna gain; Array gain; Electronic engineering; Telecommunications; Antenna array; Antenna aperture; Radiation pattern; Fading; Engineering","score_opus":0.02430295844002112,"score_gpt":0.21863302048040884,"score_spread":0.19433006204038772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940781481","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":[0.41086632,0.005618918,0.58158946,0.00007941564,0.00051832304,0.0004064118,0.000030858708,0.00009764454,0.00079264806],"genre_scores_gemma":[0.9934441,0.004497086,0.0019007878,0.000008890044,0.0000707735,0.0000047576054,0.00002562537,0.000029878218,0.000018117405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990489,0.00013498757,0.00034742447,0.0001153499,0.00014921695,0.00020415951],"domain_scores_gemma":[0.9987033,0.00022356458,0.00027783163,0.00056840735,0.00014121392,0.00008569897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002358759,0.00016415557,0.00030479088,0.000108383494,0.0005007873,0.00004861493,0.00030282632,0.000063229316,0.000002943233],"category_scores_gemma":[0.000003991417,0.00014249065,0.000044938653,0.0002684563,0.00006548134,0.00018557676,0.00020874175,0.00037225272,0.0000020129453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008332117,0.000075799384,0.03258347,0.0001541441,0.00032627065,0.000017465945,0.0015327263,0.9567794,0.0026486423,0.0006296799,0.000080383135,0.0050886977],"study_design_scores_gemma":[0.00075862755,0.00016781068,0.001011354,0.001369945,0.000045492805,0.00012359054,0.00079235004,0.9945221,0.00011589665,0.000030318875,0.0007973669,0.0002651635],"about_ca_topic_score_codex":0.000008390186,"about_ca_topic_score_gemma":0.0000074371733,"teacher_disagreement_score":0.58257776,"about_ca_system_score_codex":0.00008834465,"about_ca_system_score_gemma":0.000011000776,"threshold_uncertainty_score":0.58106005},"labels":[],"label_agreement":null},{"id":"W2943105404","doi":"10.1109/tvt.2019.2914908","title":"Near-Optimal Resource Allocation Algorithms for 5G+ Cellular Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computational complexity theory; Quality of service; Bandwidth (computing); Resource allocation; Distributed computing; Mathematical optimization; Optimization problem; Resource management (computing); Bandwidth allocation; Algorithm; Computer network; Mathematics","score_opus":0.006272546482217855,"score_gpt":0.2052890567193659,"score_spread":0.19901651023714803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943105404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023363635,0.00026514867,0.97305495,0.00015064968,0.00065096735,0.00093500566,0.000010307191,0.0014251991,0.00014412415],"genre_scores_gemma":[0.9694047,0.000037327223,0.029655192,0.000031792395,0.00004956336,0.00034254676,0.000026542888,0.000104491446,0.0003478742],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885046,0.000018770754,0.000303506,0.00034733018,0.000106407155,0.00037353023],"domain_scores_gemma":[0.9992387,0.00004814431,0.00005304797,0.00052881293,0.000081511746,0.00004975759],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000110291294,0.00023479169,0.00025828538,0.00027256357,0.00014130968,0.000026493959,0.00020847909,0.00051477086,0.000028575223],"category_scores_gemma":[0.0000038181147,0.0002685028,0.00010789499,0.00052143406,0.00006247226,0.00013296177,8.6667944e-7,0.00038680134,0.00009708668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014474228,0.000030665917,0.000003842761,0.000040981246,0.00005712443,0.0000020171221,0.00003064994,0.9741083,0.012358617,0.0001264141,0.000068919,0.013158005],"study_design_scores_gemma":[0.00056542305,0.00013251501,0.0000010943304,0.000037543305,0.00003136171,0.00001443643,0.00006980686,0.88191867,0.10936723,0.00004340652,0.0075727333,0.000245809],"about_ca_topic_score_codex":0.0000034460993,"about_ca_topic_score_gemma":0.000003851394,"teacher_disagreement_score":0.94604105,"about_ca_system_score_codex":0.00014655135,"about_ca_system_score_gemma":0.000014938604,"threshold_uncertainty_score":0.9999767},"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":"W2944459146","doi":"10.1109/access.2019.2915099","title":"Power Allocation in 5G Wireless Communication","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; York University","keywords":"Granger causality; Transfer entropy; Entropy (arrow of time); Mean squared error; Channel (broadcasting); Computer science; Statistics; Conditional entropy; Algorithm; Mathematics; Econometrics; Principle of maximum entropy; Telecommunications","score_opus":0.011018803347318046,"score_gpt":0.26184873022193494,"score_spread":0.2508299268746169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944459146","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":[0.88701576,0.00020174119,0.09453044,0.000039769795,0.0005931684,0.00040202576,0.0000017129804,0.00024236261,0.01697301],"genre_scores_gemma":[0.99929196,0.00006825475,0.00039408877,0.000025722735,0.000015236123,0.000035822068,0.000015627535,0.000027312633,0.00012596982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999512,0.000022587503,0.00018229701,0.000100340854,0.00006762885,0.00011511488],"domain_scores_gemma":[0.9995074,0.000031426982,0.000035514524,0.00036810947,0.000038277038,0.000019232459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000089632,0.00007867577,0.00010207391,0.00009031137,0.000014591935,0.000039653478,0.0002771961,0.000062207815,0.000047892183],"category_scores_gemma":[0.000005576666,0.00008916845,0.0000131338675,0.00023298463,0.0000075718526,0.0007290748,0.000015276157,0.00009526079,0.000125904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042912693,0.000014548488,0.007340726,0.00005309253,0.0000063612993,4.5185368e-7,0.00033432964,0.9794736,0.010379933,0.0004063655,0.00028070583,0.0017055756],"study_design_scores_gemma":[0.0017967912,0.000030287143,0.033863347,0.00044489256,0.000008826706,0.000006736518,0.00030430715,0.88730544,0.07184388,0.00093801715,0.0026255455,0.00083194854],"about_ca_topic_score_codex":0.00005027843,"about_ca_topic_score_gemma":0.00008347538,"teacher_disagreement_score":0.1122762,"about_ca_system_score_codex":0.00009888705,"about_ca_system_score_gemma":0.0000068129407,"threshold_uncertainty_score":0.36361837},"labels":[],"label_agreement":null},{"id":"W2944478350","doi":"10.48550/arxiv.1905.02371","title":"Time-Varying Massive MIMO Channel Estimation: Capturing, Reconstruction and Restoration","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Channel (broadcasting); Algorithm; Telecommunications link; MIMO; Covariance; Identifiability; Kalman filter; Artificial intelligence; Mathematics; Machine learning; Statistics; Telecommunications","score_opus":0.027937701723262355,"score_gpt":0.1671383395440206,"score_spread":0.13920063782075826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944478350","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":[0.15582007,0.00018918488,0.8389332,0.000014488359,0.0011455012,0.0005574229,0.000024752575,0.00049901486,0.0028163337],"genre_scores_gemma":[0.9959065,0.00020835646,0.0025815484,0.0000052215323,0.000110764886,0.000002669888,0.00011094939,0.0000522279,0.0010218079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990478,0.000047460726,0.00021441698,0.00044872452,0.000044664383,0.00019693411],"domain_scores_gemma":[0.99917734,0.000039166116,0.00018922449,0.00040742866,0.0001069935,0.00007984009],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008725125,0.00028524097,0.00028462123,0.00026196995,0.00009480648,0.0000527249,0.00014379408,0.0003487613,0.000026294383],"category_scores_gemma":[0.00002582206,0.00038512723,0.00005961034,0.00018933699,0.00005919243,0.00052428234,0.00014750425,0.0003573913,0.000098072145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011761467,0.0000043159307,0.00010324361,0.0002494547,0.000048606245,0.000011482869,0.00025689584,0.998404,0.000112942216,0.00035454438,0.00008098305,0.0003617475],"study_design_scores_gemma":[0.00032624902,0.000013302456,0.0000536371,0.00029311056,0.00006400568,0.00001347197,0.00014474677,0.99668914,0.00023931918,0.0017730519,0.000023032506,0.00036691135],"about_ca_topic_score_codex":0.000025432186,"about_ca_topic_score_gemma":0.000007630443,"teacher_disagreement_score":0.8400864,"about_ca_system_score_codex":0.00038344358,"about_ca_system_score_gemma":0.00003955161,"threshold_uncertainty_score":0.99986005},"labels":[],"label_agreement":null},{"id":"W2944741907","doi":"10.1109/tmc.2019.2915071","title":"A Seamless Mobility Management Protocol in 5G Locator Identificator Split Dense Small Cells","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer network; Mobility management; Handover; Packet loss; Network packet; Scalability; Routing protocol; Distributed computing; Operating system","score_opus":0.00920451216935654,"score_gpt":0.23602896495602468,"score_spread":0.22682445278666813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944741907","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":[0.16029252,0.0000074998443,0.79851663,0.0000016864408,0.0007278041,0.039642725,0.000008583989,0.00043575818,0.00036678906],"genre_scores_gemma":[0.9677079,0.0000028201941,0.0075051114,0.0000109803605,0.000030228144,0.024425028,0.0000021583187,0.00007548955,0.00024028271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982987,0.00006793937,0.00057960505,0.00049153634,0.00016793111,0.0003942867],"domain_scores_gemma":[0.99911237,0.00008314909,0.00007503013,0.000589121,0.00005088791,0.00008944623],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003011354,0.00027425934,0.00029268645,0.00026780952,0.00008128959,0.00005915072,0.00022613117,0.00011306593,0.000066948174],"category_scores_gemma":[9.716946e-7,0.0003171691,0.00009683691,0.00050225714,0.000023271878,0.00014705253,0.0000032678333,0.00031728955,0.0002972059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024202103,0.00017223177,0.000050032577,0.0007946833,0.000028201162,0.000007417975,0.00021969438,0.9753419,0.006474594,0.000012030695,0.000010079049,0.016864918],"study_design_scores_gemma":[0.0014763906,0.00007472558,0.0002334222,0.00041670687,0.000019697483,0.000006515668,0.00046839446,0.90817714,0.08800782,0.000017277407,0.00061160617,0.00049029186],"about_ca_topic_score_codex":0.000021828804,"about_ca_topic_score_gemma":0.000033230288,"teacher_disagreement_score":0.80741537,"about_ca_system_score_codex":0.0003982141,"about_ca_system_score_gemma":0.000016334012,"threshold_uncertainty_score":0.99992806},"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":"W2944976497","doi":"10.1109/lcomm.2019.2917431","title":"Low Complexity Algorithms for Robust Multigroup Multicast Beamforming","year":2019,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Multicast; Computational complexity theory; Mathematical optimization; Computer science; Relaxation (psychology); Algorithm; MIMO; Mathematics; Telecommunications; Distributed computing","score_opus":0.057091111863490314,"score_gpt":0.2770500401936769,"score_spread":0.2199589283301866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944976497","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":[0.015792726,0.000101487945,0.9811142,0.00055691774,0.0005477873,0.0009782015,0.00005616957,0.00044481372,0.00040771576],"genre_scores_gemma":[0.4179705,0.000035656692,0.5812655,0.00021565279,0.000059468282,0.00019581577,0.0001463944,0.00006111912,0.00004990767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999111,0.000033486132,0.00032601206,0.0001716251,0.00008462075,0.0002732647],"domain_scores_gemma":[0.99806046,0.0002380598,0.00006967441,0.0015007016,0.00007252911,0.00005857857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013602653,0.00017253708,0.00020234105,0.00010551217,0.00017364809,0.00003949241,0.0006720821,0.00006559261,0.000011634372],"category_scores_gemma":[0.00002333941,0.00020025572,0.000078030345,0.00017658641,0.00009554577,0.0003313137,0.000065123364,0.00018939639,0.000100564175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003402886,0.000035976827,0.00011462928,0.00011461502,0.000030183515,1.6856642e-7,0.00036111393,0.9487144,0.046348855,0.00020606717,0.0007983019,0.0032723127],"study_design_scores_gemma":[0.0006164435,0.000010503263,0.00008646491,0.000069839734,0.000012943602,0.0000040602076,0.00012596443,0.99310005,0.002610312,0.000016789389,0.0030944261,0.00025222191],"about_ca_topic_score_codex":0.000020876796,"about_ca_topic_score_gemma":0.000039340175,"teacher_disagreement_score":0.40217778,"about_ca_system_score_codex":0.0001654593,"about_ca_system_score_gemma":0.0000068863983,"threshold_uncertainty_score":0.8166191},"labels":[],"label_agreement":null},{"id":"W2946191288","doi":"","title":"Uplink Channel Access for Small Cell Networks: Bayesian Game-Theoretic Approach","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Stackelberg competition; Computer science; Bayesian game; Telecommunications link; Nash equilibrium; Game theory; Strategy; Channel (broadcasting); Best response; Key (lock); Channel state information; Probabilistic logic; User equipment; Uniqueness; Mathematical optimization; Computer network; Mathematics; Repeated game; Mathematical economics; Telecommunications; Wireless; Artificial intelligence; Base station; Computer security","score_opus":0.014557516444869854,"score_gpt":0.21565043922109242,"score_spread":0.20109292277622257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946191288","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":[0.0013830009,0.0020549188,0.9673011,0.0003149282,0.0005729407,0.002024644,0.000045240864,0.0008443101,0.025458964],"genre_scores_gemma":[0.7387834,0.0013358296,0.25201192,0.00004090748,0.00012836787,0.0015051587,0.0017932443,0.00028942458,0.0041117202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99656415,0.0010931432,0.0007222353,0.00084351376,0.0001868579,0.00059009966],"domain_scores_gemma":[0.9950844,0.0007311149,0.00037202475,0.0021552613,0.0014250794,0.00023212755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002165713,0.0005553429,0.0005649458,0.00023491583,0.0001959034,0.000628716,0.0017495337,0.0005730858,0.000046361674],"category_scores_gemma":[0.00033525514,0.0006314855,0.00024690785,0.00033800074,0.00013081635,0.00023966988,0.00089174556,0.00070159213,0.000018361332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005866612,0.00017124505,0.000055897446,0.0013625165,0.00006823181,6.108257e-7,0.0025762669,0.97682214,0.00014087239,0.0122648515,0.001019738,0.005511788],"study_design_scores_gemma":[0.00044643867,2.5944348e-7,0.000032212578,0.00086705736,0.000053678963,0.0000038042404,0.00005032984,0.98850095,0.004376568,0.0043903925,0.0006863049,0.00059198716],"about_ca_topic_score_codex":0.00020405606,"about_ca_topic_score_gemma":0.00013081398,"teacher_disagreement_score":0.7374004,"about_ca_system_score_codex":0.00020602054,"about_ca_system_score_gemma":0.00008455387,"threshold_uncertainty_score":0.99961364},"labels":[],"label_agreement":null},{"id":"W2946899908","doi":"10.1109/tcsii.2019.2909762","title":"Fiber-Fed Distributed Antenna System in an FPGA Software Defined Radio for 5G Demonstration","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"University of British Columbia","keywords":"Software-defined radio; Distributed antenna system; Radio over fiber; Field-programmable gate array; Antenna (radio); Software; Computer science; Fiber; Embedded system; Materials science; Telecommunications; Optical fiber; Operating system; Composite material","score_opus":0.012627428664260176,"score_gpt":0.2162070304962969,"score_spread":0.20357960183203672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2946899908","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":[0.04269578,0.00028835563,0.94868326,0.000006073783,0.0025673287,0.0032197833,0.0008780823,0.0014842243,0.00017711232],"genre_scores_gemma":[0.9967611,0.000013206361,0.001005023,0.0000069826187,0.00013903514,0.0012570041,0.00024532428,0.00018654871,0.00038581947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970542,0.00015627511,0.0010816061,0.00070618506,0.00034348574,0.00065822614],"domain_scores_gemma":[0.99828094,0.00023920981,0.00020446278,0.0008280118,0.00023990785,0.0002074938],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003168132,0.0005230379,0.00077620253,0.00038955046,0.00027932093,0.000148739,0.00032902756,0.0004080889,0.000019029323],"category_scores_gemma":[0.000015751428,0.00060225837,0.00017796576,0.00055955583,0.00003410857,0.0010260035,0.0000012539498,0.00033611467,0.00006529867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005379088,0.00010343916,0.00009114858,0.0013192157,0.000070456554,0.0000062862914,0.0004615205,0.97349054,0.022240946,0.00008147802,0.00007423973,0.0020069429],"study_design_scores_gemma":[0.005875066,0.00068868767,0.00026898648,0.0032667664,0.00014534508,0.00019868335,0.001507751,0.96102595,0.023353402,0.000014332072,0.0018482438,0.0018068001],"about_ca_topic_score_codex":0.00013596656,"about_ca_topic_score_gemma":0.00009260704,"teacher_disagreement_score":0.95406526,"about_ca_system_score_codex":0.0007746805,"about_ca_system_score_gemma":0.00008139774,"threshold_uncertainty_score":0.9996429},"labels":[],"label_agreement":null},{"id":"W2947194432","doi":"10.1049/iet-com.2018.6133","title":"Mode selection map‐based vertical handover in D2D enabled 5G networks","year":2019,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Handover; Computer science; Computer network; Transmission (telecommunications); User equipment; Throughput; Mode (computer interface); Cellular network; Fading; Node (physics); Base station; Selection (genetic algorithm); Real-time computing; Telecommunications; Wireless; Channel (broadcasting); Engineering","score_opus":0.01042025685094276,"score_gpt":0.2442655736750805,"score_spread":0.23384531682413776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947194432","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":[0.016980521,0.0006673035,0.9699817,0.00030310065,0.00031393286,0.00065610046,0.0000055822993,0.0005073922,0.01058437],"genre_scores_gemma":[0.98887885,0.00008133784,0.010599804,0.000040988834,0.000022971462,0.00009880793,0.00008299566,0.00003496787,0.00015928762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932736,0.00007053099,0.0002401559,0.00011195841,0.000057559864,0.00019243771],"domain_scores_gemma":[0.99889904,0.00014347123,0.000019829922,0.0008481638,0.000050007224,0.000039491035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095796044,0.00010399185,0.00014079333,0.00009418032,0.00005813413,0.000025133813,0.00029645028,0.000102863676,0.000049250204],"category_scores_gemma":[0.00001633422,0.00012074746,0.000032391967,0.00033607255,0.000021389398,0.00019823457,0.000037151596,0.00026561308,0.00011538443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067893443,0.00003176861,0.0021819319,0.000016103371,0.000008636596,8.6387416e-8,0.00007109024,0.99439347,0.0018947411,0.00082736876,0.00034909116,0.00021890436],"study_design_scores_gemma":[0.00054349523,0.000010228866,0.00045437829,0.000049797283,0.000006560968,8.965506e-7,0.000020711459,0.9952832,0.00049005036,0.00010794148,0.0029060573,0.00012670373],"about_ca_topic_score_codex":0.00005481086,"about_ca_topic_score_gemma":0.0003837066,"teacher_disagreement_score":0.9718983,"about_ca_system_score_codex":0.00018701113,"about_ca_system_score_gemma":0.000019810333,"threshold_uncertainty_score":0.49239388},"labels":[],"label_agreement":null},{"id":"W2947682964","doi":"10.1109/icc.2019.8761082","title":"Meta Distribution of SIR in Dual-Hop Internet-of-Things (IoT) Networks","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Relay; Computer science; Performance metric; Telecommunications link; Internet of Things; Wireless; Computer network; Wireless network; Power (physics); Telecommunications; Computer security","score_opus":0.017291340691105633,"score_gpt":0.23114583740819974,"score_spread":0.2138544967170941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947682964","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":[0.008611511,0.0013736811,0.9868303,0.000007576724,0.0007544048,0.00052833976,0.000014497857,0.00014956093,0.0017301583],"genre_scores_gemma":[0.98881346,0.00015515627,0.0100009255,0.000005519792,0.000037234513,0.00004145733,0.0004094121,0.00005020924,0.00048662722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986156,0.000039997358,0.00077132304,0.00025996222,0.00012531693,0.00018777276],"domain_scores_gemma":[0.9990809,0.00008145492,0.00024998837,0.00045542055,0.00010207017,0.000030189625],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002670936,0.00026325247,0.00075003185,0.00011720831,0.000003736194,0.000011373126,0.00015767328,0.00040129334,0.00005040661],"category_scores_gemma":[0.00003596667,0.00025783147,0.00017431,0.0001650621,0.000021903397,0.000110046065,0.00024874456,0.00043665408,0.0000054066854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006622788,0.000012953592,0.0001806051,0.000584434,0.0003137192,0.0000010389833,0.00018501875,0.9973797,0.00010979844,0.0005625727,0.0002528469,0.00041066244],"study_design_scores_gemma":[0.00018742133,0.000012625651,0.00009911601,0.00032616445,0.0001548719,0.0000015300118,0.00002332686,0.9963498,0.002282435,0.0002040451,0.00013903563,0.00021961109],"about_ca_topic_score_codex":0.00027919057,"about_ca_topic_score_gemma":0.000023189876,"teacher_disagreement_score":0.98020196,"about_ca_system_score_codex":0.00018140329,"about_ca_system_score_gemma":0.000018724828,"threshold_uncertainty_score":0.99998736},"labels":[],"label_agreement":null},{"id":"W2947951070","doi":"10.1109/tvt.2019.2919812","title":"Interference Mitigation and Dynamic User Association for Load Balancing in Heterogeneous Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Base station; Interference (communication); Heterogeneous network; User equipment; Network topology; Computer network; Distributed computing; Wireless; Wireless network; Telecommunications; Channel (broadcasting)","score_opus":0.0026705622975817197,"score_gpt":0.19558641860893586,"score_spread":0.19291585631135413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947951070","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28648877,0.000134209,0.7123271,0.00004451125,0.0003236876,0.0003941327,0.000005414949,0.00026639007,0.000015759122],"genre_scores_gemma":[0.99726933,0.00010154825,0.0023114502,0.000013473355,0.000006615876,0.00015683279,0.00000524372,0.00003237932,0.00010315286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928665,0.000014793358,0.00021423471,0.00020908786,0.00006236873,0.00021286494],"domain_scores_gemma":[0.9996517,0.000055963163,0.000048274385,0.00016554758,0.000059323404,0.00001924139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009882449,0.00012825863,0.0001764381,0.00024227328,0.00003536371,0.000013879959,0.00006791212,0.00033294622,0.000004717093],"category_scores_gemma":[0.000008344539,0.00015114291,0.000033361564,0.00026567388,0.000013606511,0.0001168272,9.397872e-7,0.00023767569,0.00000993065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007915601,0.0000113193755,0.00037169925,0.00003478368,0.00002446789,9.608489e-7,0.000033226497,0.9825943,0.01129521,0.000026664513,0.0000021630087,0.005597254],"study_design_scores_gemma":[0.0005661502,0.00007190365,0.000068308276,0.00009102536,0.00001400623,0.000011961703,0.000040245217,0.9807647,0.01799095,0.00014650477,0.00007900869,0.00015523766],"about_ca_topic_score_codex":0.000004652957,"about_ca_topic_score_gemma":0.00020133246,"teacher_disagreement_score":0.7107805,"about_ca_system_score_codex":0.00056983146,"about_ca_system_score_gemma":0.000009278741,"threshold_uncertainty_score":0.6163429},"labels":[],"label_agreement":null},{"id":"W2949067741","doi":"10.48550/arxiv.1407.4694","title":"Distributed Pricing-Based User Association for Downlink Heterogeneous Cellular Networks","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Coordinate descent; Beamforming; Base station; Telecommunications link; Benchmark (surveying); Transmitter power output; Subgradient method; Mathematical optimization; Optimization problem; Power control; User equipment; Algorithm; Power (physics); Computer network; Mathematics; Transmitter; Telecommunications","score_opus":0.02044844794622941,"score_gpt":0.16051512280195865,"score_spread":0.14006667485572924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949067741","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":[0.018413508,0.000090305686,0.97865903,0.00000972265,0.0010177693,0.0008316023,0.000171715,0.0006860149,0.00012035208],"genre_scores_gemma":[0.9963432,0.00004196622,0.001425381,0.0000212084,0.0002546603,0.0000094657435,0.0014137971,0.00009294073,0.000397371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855965,0.000074953685,0.00029563275,0.00058057386,0.00005740222,0.00043177285],"domain_scores_gemma":[0.9985372,0.00020846103,0.0003114885,0.0005844165,0.00024019799,0.00011822599],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021670057,0.0003764924,0.000437267,0.00014651063,0.000107139385,0.000055160304,0.00034330017,0.0006862251,0.00001062776],"category_scores_gemma":[0.000072227245,0.00049407105,0.00024548272,0.00025732175,0.000018734572,0.00009807429,0.00011391849,0.0004044831,0.00001679809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022535462,0.000018497523,0.0009449717,0.0002150438,0.0001309223,0.000011621937,0.000010460606,0.99784976,0.000054574426,0.00031647648,0.00039027224,0.000034878914],"study_design_scores_gemma":[0.00069824373,0.000024889467,0.000026671645,0.00010218947,0.00017499273,3.450715e-7,0.0000052416462,0.9961823,0.0006512081,0.00042187222,0.0012358953,0.00047610686],"about_ca_topic_score_codex":0.00001495722,"about_ca_topic_score_gemma":0.000026338419,"teacher_disagreement_score":0.9779297,"about_ca_system_score_codex":0.0012270011,"about_ca_system_score_gemma":0.00003779394,"threshold_uncertainty_score":0.9997511},"labels":[],"label_agreement":null},{"id":"W2949089721","doi":"10.1109/tmc.2019.2922614","title":"Coverage Performance in MIMO-ZFBF Dense HetNets with Multiplexing and LOS/NLOS Path-Loss Attenuation","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Shenzhen University; National Natural Science Foundation of China","keywords":"MIMO; Non-line-of-sight propagation; Beamforming; Computer science; Multiplexing; Spatial multiplexing; Path loss; Robustness (evolution); Context (archaeology); Algorithm; Topology (electrical circuits); Telecommunications; Mathematics; Wireless","score_opus":0.005924428433289776,"score_gpt":0.2045398459508831,"score_spread":0.19861541751759332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949089721","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":[0.50936913,0.000043129396,0.4897827,0.0000017130384,0.00018730789,0.0003868567,0.0000053042677,0.00013342782,0.00009041238],"genre_scores_gemma":[0.9953031,0.00006144981,0.004436705,0.0000141586925,0.000030889518,0.00004412794,0.0000063859848,0.00005570389,0.000047465444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989873,0.000032961798,0.00029460355,0.00028400804,0.00013419989,0.0002668806],"domain_scores_gemma":[0.9995218,0.000114783135,0.000059478207,0.00020667561,0.000045334004,0.000051928782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001258851,0.00020598737,0.00021600124,0.00017190825,0.00010414721,0.000035348537,0.00006606955,0.000083794475,0.0000112591715],"category_scores_gemma":[0.000001866001,0.00021689018,0.000027349815,0.0002765993,0.000022187522,0.0003241267,0.0000015724883,0.0002733628,0.000030069243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025837951,0.0000280438,0.003943582,0.00016082963,0.000013724792,0.000004987323,0.0005218587,0.9762734,0.0021725076,0.0000020297755,8.68425e-7,0.01685234],"study_design_scores_gemma":[0.0011262076,0.000116821626,0.0016999799,0.00044658905,0.000008062337,0.000036589467,0.0001158541,0.9900703,0.0060768533,0.000002160657,0.0000368465,0.00026376382],"about_ca_topic_score_codex":0.000011095319,"about_ca_topic_score_gemma":0.000033195676,"teacher_disagreement_score":0.48593396,"about_ca_system_score_codex":0.00015254892,"about_ca_system_score_gemma":0.000012643541,"threshold_uncertainty_score":0.8844525},"labels":[],"label_agreement":null},{"id":"W2949131801","doi":"10.48550/arxiv.1601.01070","title":"Energy Efficiency of Downlink Transmission Strategies for Cloud Radio Access Networks","year":2016,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Computer science; Telecommunications link; Radio access network; Transmitter power output; Base station; Efficient energy use; Computer network; C-RAN; Beamforming; Energy consumption; Transmission (telecommunications); Cellular network; Data transmission; Optimization problem; Cloud computing; Real-time computing; Telecommunications; Transmitter; Engineering; Mobile station; Algorithm; Electrical engineering","score_opus":0.03376643130654657,"score_gpt":0.19193404428700417,"score_spread":0.1581676129804576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949131801","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":[0.004709848,0.00049162854,0.9911767,0.000005306269,0.00089145795,0.00036712768,0.000045277844,0.00029080876,0.0020218098],"genre_scores_gemma":[0.9975177,0.0010174189,0.0008218742,0.0000034263926,0.0002091219,0.000003992285,0.000054502434,0.000057979796,0.00031397943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988407,0.000040361814,0.00029848362,0.00047769462,0.000041032716,0.0003017115],"domain_scores_gemma":[0.9989951,0.00010991497,0.00018290432,0.00047403542,0.0001411091,0.00009689387],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009852125,0.0003115626,0.00041268108,0.00019777079,0.00006244943,0.000036705227,0.00063650275,0.0004137902,0.000019939287],"category_scores_gemma":[0.000005494966,0.0003146499,0.00019647402,0.00025739166,0.00006881617,0.00034045184,0.000135098,0.0001886454,0.0000011124679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004831122,0.00001866378,0.000029027755,0.00034353937,0.0000641173,0.000007402456,0.000052535204,0.97721964,0.00023508783,0.020816224,0.00015135114,0.0010141132],"study_design_scores_gemma":[0.00061373314,0.00003062545,0.00000589979,0.00036452725,0.00007710585,0.0000011558698,0.00005029544,0.9837179,0.0009067563,0.013400016,0.00046123003,0.0003707374],"about_ca_topic_score_codex":0.000022603954,"about_ca_topic_score_gemma":0.000010599706,"teacher_disagreement_score":0.99280787,"about_ca_system_score_codex":0.00016583435,"about_ca_system_score_gemma":0.00008660193,"threshold_uncertainty_score":0.99993056},"labels":[],"label_agreement":null},{"id":"W2949319130","doi":"10.48550/arxiv.0805.2422","title":"Transceiver Pair Designs for Multiple Access Channels under Fixed Sum Mutual Information using MMSE Decision Feedback Detection","year":2008,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mutual information; Minimum mean square error; MIMO; Transmitter; Transceiver; Computer science; Interference (communication); Transmission (telecommunications); Constraint (computer-aided design); Detector; Control theory (sociology); Mathematics; Algorithm; Telecommunications; Statistics; Channel (broadcasting); Wireless; Artificial intelligence; Control (management)","score_opus":0.0984068928015949,"score_gpt":0.2902390938067687,"score_spread":0.1918322010051738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949319130","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":[0.4258847,0.00007461048,0.57076085,0.0000064348274,0.0016550085,0.0011603714,0.000044399912,0.00039304575,0.000020569856],"genre_scores_gemma":[0.9829027,0.0001649307,0.01584958,0.00002797332,0.00037113955,0.00027208056,0.00025072467,0.00012863468,0.00003225617],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805814,0.000051761817,0.00079869066,0.00040171354,0.00023917615,0.0004504924],"domain_scores_gemma":[0.99859565,0.00022647255,0.00027501147,0.00048053966,0.0003053804,0.00011696626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021033816,0.0005029526,0.0004723037,0.00039054718,0.00024000369,0.00012891903,0.00035215472,0.0006585125,0.000011644741],"category_scores_gemma":[0.00015385495,0.0005677841,0.00022540455,0.00027973656,0.00003901668,0.0018274208,0.00010545398,0.0004418361,0.000044829474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096954,0.000017976388,0.0015188941,0.00031255838,0.00007194961,0.0000011006223,0.00072496413,0.98760825,0.0060815145,0.0000015674129,0.000064534026,0.003499727],"study_design_scores_gemma":[0.0014926415,0.000039818056,0.0036939168,0.00036826174,0.00007451574,0.000014361292,0.00015215545,0.9540706,0.03870299,0.00011232145,0.000569418,0.0007089482],"about_ca_topic_score_codex":0.000061956955,"about_ca_topic_score_gemma":0.00006775712,"teacher_disagreement_score":0.557018,"about_ca_system_score_codex":0.00059592916,"about_ca_system_score_gemma":0.00006530783,"threshold_uncertainty_score":0.99967736},"labels":[],"label_agreement":null},{"id":"W2949438087","doi":"10.48550/arxiv.1405.2492","title":"Unified and Distributed QoS-Driven Cell Association Algorithms in Heterogeneous Networks","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Quality of service; Distributed algorithm; Algorithm; Telecommunications link; Heterogeneous network; Fading; Base station; Maximization; Interference (communication); Association (psychology); Distributed computing; Mathematical optimization; Computer network; Wireless; Mathematics; Wireless network; Telecommunications; Decoding methods","score_opus":0.018473872610482684,"score_gpt":0.15577680398509405,"score_spread":0.13730293137461136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949438087","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":[0.12056227,0.0001366587,0.87765,0.0000045900624,0.00060912827,0.0003276771,0.000054043267,0.00028043796,0.00037518676],"genre_scores_gemma":[0.9981189,0.0005540631,0.00060817704,0.0000071317813,0.00012340963,0.0000021836595,0.00029598153,0.00004957033,0.00024058059],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879855,0.00009861392,0.00024051186,0.0004933973,0.000043424665,0.0003255292],"domain_scores_gemma":[0.9991849,0.00009191505,0.00018672839,0.00035729306,0.000077241406,0.00010192667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013710962,0.00029324362,0.00037040337,0.00016680614,0.000048138478,0.000041048144,0.00021801278,0.0005437548,0.000007011473],"category_scores_gemma":[0.00002139393,0.00040036422,0.00007029156,0.00028216996,0.000021573365,0.000116314724,0.0002157903,0.00050974556,0.000009781433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076181655,0.000014212746,0.00539315,0.00009422089,0.00004026256,0.000043037508,0.00004129435,0.9940957,0.000018974046,0.00010079141,0.000080518956,0.00007025119],"study_design_scores_gemma":[0.00055241963,0.0000132694595,0.00044135613,0.00007877442,0.000049685776,0.0000013769801,0.000025345262,0.997978,0.000059816106,0.0003275321,0.00010965391,0.00036282046],"about_ca_topic_score_codex":0.000056941295,"about_ca_topic_score_gemma":0.000107301916,"teacher_disagreement_score":0.8775566,"about_ca_system_score_codex":0.0008278163,"about_ca_system_score_gemma":0.000018052422,"threshold_uncertainty_score":0.99984485},"labels":[],"label_agreement":null},{"id":"W2949509208","doi":"10.48550/arxiv.1706.05179","title":"Base Station Selection for Massive MIMO Networks with Two-stage Precoding","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Precoding; Base station; Zero-forcing precoding; MIMO; Computer science; Maximization; Channel state information; Overhead (engineering); Control theory (sociology); Channel (broadcasting); Selection (genetic algorithm); Algorithm; Selection algorithm; Mathematical optimization; Mathematics; Telecommunications; Wireless; Artificial intelligence","score_opus":0.04491699629148065,"score_gpt":0.19366260565597093,"score_spread":0.14874560936449027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949509208","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":[0.02715381,0.00004113365,0.969485,0.000005095187,0.0005719564,0.0010094992,0.00007232127,0.000440344,0.0012208608],"genre_scores_gemma":[0.987524,0.00011348624,0.009881933,0.0000043825003,0.00019109774,0.000015355638,0.00025718292,0.00008980319,0.0019227574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988697,0.00003887513,0.00017538825,0.0005655043,0.0000407911,0.00030973024],"domain_scores_gemma":[0.9988309,0.000076642544,0.00030439053,0.00046733205,0.00022643578,0.00009426678],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012535896,0.00031927484,0.00029372226,0.00018897971,0.00023796488,0.00009208862,0.00026049477,0.00024916523,0.000016398426],"category_scores_gemma":[0.000029272162,0.0003852698,0.00008978602,0.00014962637,0.00003773855,0.00045642047,0.00008759715,0.00036435094,0.0000053681647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008419682,0.000010468728,0.0011188696,0.00026340442,0.00011359272,0.000012684777,0.000070725546,0.9961931,0.00005515873,0.001750076,0.000117334144,0.00021038462],"study_design_scores_gemma":[0.0009005308,0.00004331102,0.00005282773,0.00022962263,0.00012356899,0.0000014436563,0.00008012175,0.99714714,0.00032548048,0.0005223246,0.00015257034,0.00042106287],"about_ca_topic_score_codex":0.000084304214,"about_ca_topic_score_gemma":0.00045208988,"teacher_disagreement_score":0.9603702,"about_ca_system_score_codex":0.00050829165,"about_ca_system_score_gemma":0.000059900005,"threshold_uncertainty_score":0.9998599},"labels":[],"label_agreement":null},{"id":"W2949582443","doi":"10.48550/arxiv.1808.09818","title":"Inter-Operator Infrastructure Sharing: Trade-offs and Market","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Transmitter power output; Quality of service; Knapsack problem; Cellular network; Cournot competition; Traffic intensity; Computer network; Base station; Mathematical optimization; Market power; Microeconomics; Mathematics; Economics","score_opus":0.021579361937258484,"score_gpt":0.16704297757674505,"score_spread":0.14546361563948657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949582443","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":[0.36056244,0.00021187607,0.6249851,0.0000151233135,0.001422076,0.00053162436,0.00008229353,0.0007947292,0.011394728],"genre_scores_gemma":[0.99700487,0.0002515522,0.0012379191,0.000016194621,0.0001868794,0.0000013150509,0.000032878972,0.00007133115,0.0011970842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882734,0.000030656523,0.00019468139,0.00065175095,0.00003403093,0.0002615553],"domain_scores_gemma":[0.9991072,0.000023341663,0.00008255293,0.000593549,0.000047989462,0.00014536415],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000082342856,0.00035934788,0.00032481036,0.00019041731,0.00007121302,0.00006798174,0.00040416318,0.00040108923,0.00012952511],"category_scores_gemma":[0.000019230532,0.0004336842,0.0000741983,0.00019765865,0.00009229657,0.0002398579,0.00052100216,0.0004942301,0.000013735181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003074915,0.00001022569,0.0071359323,0.00044571984,0.00016209739,0.000068763366,0.00036697832,0.9851105,0.00010860666,0.0012952148,0.0048591876,0.00040599023],"study_design_scores_gemma":[0.00046272555,0.000027964235,0.0015314898,0.0002531738,0.00008507289,0.000012965918,0.00017881987,0.99119556,0.00016692752,0.003155156,0.0022974066,0.0006327142],"about_ca_topic_score_codex":0.000012395257,"about_ca_topic_score_gemma":0.00002568005,"teacher_disagreement_score":0.6364424,"about_ca_system_score_codex":0.0002733874,"about_ca_system_score_gemma":0.000026378888,"threshold_uncertainty_score":0.9998115},"labels":[],"label_agreement":null},{"id":"W2949618236","doi":"10.48550/arxiv.1501.01668","title":"Handoff Rate and Coverage Analysis in Multi-tier Heterogeneous Networks","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Handover; Coverage probability; Computer science; Poisson point process; Cellular network; Computer network; Performance metric; Metric (unit); Poisson distribution; Interference (communication); Stochastic geometry; Point process; Heterogeneous network; Base station; Wireless network; Telecommunications; Statistics; Wireless; Mathematics; Engineering","score_opus":0.04370193825169439,"score_gpt":0.18210324630214855,"score_spread":0.13840130805045417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949618236","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":[0.2218701,0.0005259548,0.776706,0.0000010749319,0.00023039803,0.00024515373,0.000021393957,0.0001563704,0.0002435833],"genre_scores_gemma":[0.99796194,0.00092529296,0.0004796483,0.000008238972,0.000032457825,0.0000018473286,0.00009017724,0.00004296567,0.00045741023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988473,0.00009681423,0.00021944617,0.00053863897,0.000027620988,0.0002701472],"domain_scores_gemma":[0.9991819,0.00004216399,0.00009964863,0.00046090683,0.000078536796,0.00013682107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017708332,0.00029991427,0.00049137283,0.00045588653,0.000034559416,0.000043491305,0.00018336218,0.00033252456,0.0000125746365],"category_scores_gemma":[0.000017346369,0.00038170707,0.000114831826,0.0007023326,0.00003900557,0.00015060212,0.000255813,0.00038169054,0.0000075601292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002139192,0.000014436419,0.008380127,0.000050524213,0.00032800477,0.00017600057,0.000078796445,0.99081147,0.000008279579,0.000045155837,0.000018658371,0.000067151865],"study_design_scores_gemma":[0.0007605567,0.000007924113,0.00049182697,0.000044343742,0.00027553996,0.0000018226706,0.000023069422,0.99777293,0.000016226484,0.00021488857,0.00003581476,0.00035505331],"about_ca_topic_score_codex":0.00009039754,"about_ca_topic_score_gemma":0.0005926227,"teacher_disagreement_score":0.77622634,"about_ca_system_score_codex":0.00032731114,"about_ca_system_score_gemma":0.000022871209,"threshold_uncertainty_score":0.9998635},"labels":[],"label_agreement":null},{"id":"W2950010304","doi":"10.48550/arxiv.0811.1500","title":"Linear Processing and Sum Throughput in the Multiuser MIMO Downlink","year":2008,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Throughput; MIMO; Computer science; Computer network; Telecommunications; Wireless","score_opus":0.03534560547907034,"score_gpt":0.2658773785085463,"score_spread":0.23053177302947597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950010304","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":[0.9077211,0.0044162152,0.08436675,0.0001734637,0.0005960469,0.0008973554,0.000018075563,0.00038851635,0.0014224898],"genre_scores_gemma":[0.9885001,0.0016342136,0.009101089,0.00007916619,0.00035133804,0.00010561138,0.000062768755,0.00007872905,0.00008698423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987522,0.00004924618,0.00039879506,0.00038181042,0.00013407359,0.00028390845],"domain_scores_gemma":[0.9992822,0.00006116486,0.00009791271,0.0004591201,0.000060197166,0.00003939447],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016820447,0.00031625765,0.0003240905,0.00009693185,0.00008160804,0.00003797162,0.00026843286,0.00031762227,0.000003197336],"category_scores_gemma":[0.000063754895,0.0002606889,0.000049139097,0.00017927753,0.00005965575,0.0001940334,0.00015271168,0.0007581282,0.000026758025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006423885,0.000032835098,0.08128608,0.0007498583,0.000028562868,0.00003832195,0.0052722218,0.9099202,0.00035335097,0.0000053636427,0.00027557608,0.0020311843],"study_design_scores_gemma":[0.0014001587,0.0000319964,0.07733864,0.0015926495,0.00007060595,0.00009365685,0.00085884216,0.90805614,0.0015395944,0.00017025569,0.007377855,0.0014696216],"about_ca_topic_score_codex":0.000057271758,"about_ca_topic_score_gemma":0.00006004737,"teacher_disagreement_score":0.080779016,"about_ca_system_score_codex":0.00008341371,"about_ca_system_score_gemma":0.000034701094,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W2950237643","doi":"10.1002/ett.3648","title":"Coverage and rate analysis in two‐tier heterogeneous networks under suburban and urban scenarios","year":2019,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Heritage College","funders":"","keywords":"Heterogeneous network; Computer science; Cluster analysis; Macro; EnodeB; Poisson distribution; Poisson point process; Cellular network; Coverage probability; Point process; Process (computing); Heuristic; Wireless network; Wireless; Computer network; Base station; Statistics; User equipment; Mathematics; Telecommunications","score_opus":0.007732099402613782,"score_gpt":0.23435357580359145,"score_spread":0.22662147640097768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950237643","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":[0.20861372,0.002744115,0.78629345,0.00031586038,0.000059577775,0.0003856795,0.0000078501735,0.0013511387,0.00022861913],"genre_scores_gemma":[0.9882637,0.004823855,0.006661473,0.000016779011,0.0000023941896,0.00009709645,0.000016331875,0.0000360822,0.00008224776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908656,0.000054303364,0.0003076633,0.0002512336,0.00005530445,0.00024494817],"domain_scores_gemma":[0.9988198,0.00015002534,0.000051784995,0.0009227811,0.000029583834,0.000025978727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013441163,0.0002011558,0.00028093738,0.00080466096,0.00016416691,0.00004693788,0.00025894976,0.00012829679,0.000020478547],"category_scores_gemma":[0.00000934644,0.00022259391,0.000051411633,0.0012827372,0.00009138831,0.00021663014,0.000020497557,0.00043524514,0.0000055851397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004467483,0.00002474467,0.003210102,0.000012765946,0.0001522296,4.5972567e-7,0.00014176888,0.9891425,0.00022182768,0.00021344962,0.0000048327615,0.0068708914],"study_design_scores_gemma":[0.00045331236,0.000027812926,0.0015248273,0.000042781336,0.00010785326,0.000005640689,0.00052561227,0.9958871,0.000574923,0.00031032015,0.00023647939,0.0003033149],"about_ca_topic_score_codex":0.00005358033,"about_ca_topic_score_gemma":0.0005653089,"teacher_disagreement_score":0.77965003,"about_ca_system_score_codex":0.00011409514,"about_ca_system_score_gemma":0.000006438613,"threshold_uncertainty_score":0.9077116},"labels":[],"label_agreement":null},{"id":"W2950380080","doi":"10.1109/tcomm.2019.2910258","title":"User-Centric Base-Station Wireless Access Virtualization for Future 5G Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); Institut National de la Recherche Scientifique; University of Toronto","funders":"","keywords":"Computer science; Base station; Computer network; Overhead (engineering); Cellular network; Wireless network; Quality of service; Distributed computing; Cluster analysis; Virtualization; Wireless; MIMO; User equipment; Cloud computing; Telecommunications; Channel (broadcasting)","score_opus":0.018138040032396524,"score_gpt":0.2676087776828203,"score_spread":0.2494707376504238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950380080","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":[0.0017514089,0.00022993775,0.9934885,0.00021762922,0.0014498623,0.0013297679,0.00012480767,0.0006066572,0.0008014319],"genre_scores_gemma":[0.988976,0.0015509588,0.0077842204,0.00007916997,0.00009421224,0.00058563036,0.00028453855,0.000100254176,0.00054504164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891,0.000084527936,0.00040439607,0.00022728142,0.00012690003,0.00024691308],"domain_scores_gemma":[0.99800205,0.00029965956,0.00010164034,0.0013185221,0.00020334158,0.00007481254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001274442,0.00021476117,0.00020729635,0.00025322445,0.00027247984,0.0000967272,0.0006456913,0.00017541609,0.00005489607],"category_scores_gemma":[0.000004086219,0.0002503727,0.000101499136,0.0007531313,0.000030874566,0.0007537961,0.0000031831903,0.0002767341,0.000052852265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015735122,0.00008149791,0.000023822327,0.00005212604,0.00004352633,5.8219673e-8,0.00023153232,0.9896349,0.0005809805,0.00096273236,0.0003850186,0.007988083],"study_design_scores_gemma":[0.00068464363,0.00003813671,0.00008268882,0.00006367816,0.000050688905,0.0000021285025,0.00022122472,0.9923569,0.0015025641,0.000061437364,0.0046599302,0.0002759578],"about_ca_topic_score_codex":0.000014576877,"about_ca_topic_score_gemma":0.00015222668,"teacher_disagreement_score":0.9872246,"about_ca_system_score_codex":0.00021233836,"about_ca_system_score_gemma":0.000028300548,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W2950517047","doi":"10.48550/arxiv.1501.04564","title":"Analyzing the Impact of Inter Cooperation Region Interference in Coordinated Multi-Point Uplink Networks","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Ergodic theory; Base station; Computer science; Interference (communication); Coverage probability; Point (geometry); Parametric statistics; Stochastic geometry; Topology (electrical circuits); Cellular network; Lattice (music); Mathematical optimization; Hexagonal crystal system; Mathematics; Telecommunications; Statistics; Physics; Mathematical analysis; Geometry; Combinatorics","score_opus":0.0649436327451574,"score_gpt":0.21529785053166023,"score_spread":0.15035421778650282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950517047","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":[0.03330378,0.00015970346,0.9654831,0.00000567371,0.00027354556,0.0004154674,0.0000051295087,0.00012664782,0.00022692555],"genre_scores_gemma":[0.99929535,0.00021482882,0.00021470399,0.0000016079724,0.000033945813,0.0000020910152,0.000058323523,0.000036909936,0.00014225398],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989957,0.000117668336,0.000337165,0.00032021228,0.000010256257,0.00021900344],"domain_scores_gemma":[0.99885565,0.00005403115,0.00020431625,0.0005357751,0.00028477237,0.000065428525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023937704,0.00027965603,0.0003686319,0.00027419924,0.000031025702,0.000030264942,0.00039782777,0.0002859037,0.00000975998],"category_scores_gemma":[0.000057994937,0.00025022888,0.0001296342,0.00059362774,0.00006490896,0.00024918382,0.000279275,0.0006259115,0.0000048322386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044367247,0.00002286278,0.0052603167,0.000043160733,0.00008147121,0.00001644102,0.00034020573,0.9936434,0.000053698554,0.00015368493,0.00015213987,0.00018825922],"study_design_scores_gemma":[0.000474158,0.000033122524,0.00010366524,0.00036830825,0.00003262972,0.0000025273716,0.00014801367,0.9983413,0.000052452007,0.00021352673,3.507954e-7,0.00022992968],"about_ca_topic_score_codex":0.000396047,"about_ca_topic_score_gemma":0.00020744416,"teacher_disagreement_score":0.96599156,"about_ca_system_score_codex":0.00077188853,"about_ca_system_score_gemma":0.00006027475,"threshold_uncertainty_score":0.999995},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W2950540710","doi":"10.48550/arxiv.cs/0701169","title":"A Framework for Designing MIMO systems with Decision Feedback Equalization or Tomlinson-Harashima Precoding","year":2007,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Precoding; MIMO; Equalization (audio); Computer science; Control theory (sociology); Electronic engineering; Beamforming; Telecommunications; Engineering; Artificial intelligence","score_opus":0.07551775200130069,"score_gpt":0.31710776412349345,"score_spread":0.24159001212219278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950540710","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":[0.07348842,0.0012883557,0.91898173,0.000008892432,0.0025140685,0.0025039571,0.000041048894,0.0009813287,0.00019217143],"genre_scores_gemma":[0.6035378,0.00025120273,0.39419025,0.00002237714,0.00076772034,0.0005480542,0.00018571141,0.00031187534,0.00018501272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970765,0.0000664519,0.001025365,0.0008219071,0.00034722986,0.00066256465],"domain_scores_gemma":[0.9971419,0.0010234093,0.0004679005,0.0008176196,0.0003767461,0.0001723978],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006806243,0.0006672985,0.00079017016,0.00037194634,0.00018644848,0.00020404163,0.00041898724,0.00092146324,0.000019762749],"category_scores_gemma":[0.0005971937,0.00060269685,0.00012924959,0.00048514683,0.000031884847,0.00036641237,0.00015063185,0.0006643453,0.000042505082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021471803,0.000022542868,0.008684598,0.0017114658,0.00013929242,0.000010540133,0.000514078,0.98611486,0.00048429103,0.00031772227,0.00015784423,0.0016280418],"study_design_scores_gemma":[0.0022572547,0.0003172108,0.0019171773,0.020883711,0.0003613616,0.00005581127,0.0009859388,0.9572815,0.009922226,0.0014858119,0.0017935272,0.0027384895],"about_ca_topic_score_codex":0.000020254944,"about_ca_topic_score_gemma":0.000036172827,"teacher_disagreement_score":0.5300494,"about_ca_system_score_codex":0.00058940443,"about_ca_system_score_gemma":0.0001248459,"threshold_uncertainty_score":0.99964243},"labels":[],"label_agreement":null},{"id":"W2950602861","doi":"10.48550/arxiv.1108.5493","title":"Green Cellular Networks: A Survey, Some Research Issues and Challenges","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cellular network; Femtocell; Efficient energy use; Standardization; Software deployment; Computer science; Base station; Telecommunications; Risk analysis (engineering); Business; Engineering; Electrical engineering","score_opus":0.20728905050608798,"score_gpt":0.22595554693387138,"score_spread":0.018666496427783397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950602861","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":[0.23019634,0.10882484,0.6461309,0.00008790691,0.0021687509,0.0022279592,0.00010760722,0.0019591297,0.008296571],"genre_scores_gemma":[0.9483639,0.049659126,0.0002483159,0.0000023996322,0.0002205208,0.0000026333623,0.00005160713,0.00008141223,0.0013700585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821776,0.00035004382,0.0001901273,0.000718096,0.000071670984,0.00045227178],"domain_scores_gemma":[0.99865586,0.00014740207,0.000070197704,0.0007626819,0.00020428565,0.00015957622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079149136,0.0003151265,0.00039218034,0.0003430371,0.00010645925,0.000035935704,0.0004710995,0.00047901258,0.000022325927],"category_scores_gemma":[0.000034031193,0.0003959339,0.00006268179,0.00028248262,0.00014326474,0.00028085583,0.00069683103,0.0007853194,0.000041435404],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023822775,0.000020801259,0.00083075126,0.0005094609,0.00011817091,0.00010655398,0.00037194582,0.98683935,0.000023892846,0.010616176,0.00014316637,0.00039592554],"study_design_scores_gemma":[0.00047133685,0.00005596918,0.0014056866,0.00038073747,0.00006207482,0.0000030911735,0.00034575985,0.9734951,0.0001917767,0.02192449,0.00076243724,0.0009014966],"about_ca_topic_score_codex":0.001238038,"about_ca_topic_score_gemma":0.00056364416,"teacher_disagreement_score":0.7181676,"about_ca_system_score_codex":0.00016626879,"about_ca_system_score_gemma":0.000026181126,"threshold_uncertainty_score":0.99984926},"labels":[],"label_agreement":null},{"id":"W2950676885","doi":"10.48550/arxiv.1202.5528","title":"Hierarchical Resource Allocation in Femtocell Networks using Graph Algorithms","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Computer science; Resource allocation; Computer network; Distributed computing; Interference (communication); Graph; Channel (broadcasting); Load balancing (electrical power); Theoretical computer science; Mathematics","score_opus":0.04902662371837966,"score_gpt":0.18621024778871426,"score_spread":0.1371836240703346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950676885","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":[0.07213598,0.00039636425,0.92474014,0.000004178686,0.0005422787,0.0004427682,0.000007988329,0.00033626508,0.0013940585],"genre_scores_gemma":[0.9947699,0.00022781975,0.004387839,0.000010467752,0.0002518572,0.0000022384165,0.0001043044,0.000084282365,0.00016130284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985049,0.00011808796,0.00030428442,0.0005423203,0.000058518508,0.00047191774],"domain_scores_gemma":[0.9990139,0.00006367017,0.00012829316,0.00058138254,0.00005514294,0.00015759823],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022637603,0.00035272638,0.0003560332,0.00041499513,0.00006636488,0.000030838542,0.00036926795,0.0005522982,0.000016044356],"category_scores_gemma":[0.000013452666,0.00047801848,0.00011659944,0.00066474616,0.000065479435,0.00025077126,0.00027732985,0.00092021405,0.0000130561775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014551773,0.000027776625,0.0015672895,0.00010221184,0.00003531118,0.00003257525,0.00012973716,0.99641293,0.00004705146,0.0012856534,0.000030726467,0.00031417285],"study_design_scores_gemma":[0.00033898206,0.0000058930877,0.00026182184,0.00017443621,0.00005245724,0.00000418192,0.00007223861,0.9973503,0.000038188395,0.0011214316,0.00013258608,0.00044748202],"about_ca_topic_score_codex":0.00009780935,"about_ca_topic_score_gemma":0.000046899582,"teacher_disagreement_score":0.9226339,"about_ca_system_score_codex":0.00055526005,"about_ca_system_score_gemma":0.000033698194,"threshold_uncertainty_score":0.9997671},"labels":[],"label_agreement":null},{"id":"W2950773888","doi":"10.48550/arxiv.1407.0446","title":"Beamforming for Multiuser Massive MIMO Systems: Digital versus Hybrid Analog-Digital","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Beamforming; Multiplexing; MIMO; Telecommunications link; Electronic engineering; Maximization; Transmitter; Computer science; Block (permutation group theory); Converters; Radio frequency; Algorithm; Channel (broadcasting); Mathematics; Telecommunications; Mathematical optimization; Engineering; Electrical engineering","score_opus":0.0384099572874222,"score_gpt":0.17846764042330648,"score_spread":0.1400576831358843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950773888","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":[0.05334729,0.000105026236,0.93797404,0.0000032166172,0.002514945,0.001053558,0.0007584789,0.0007536995,0.003489751],"genre_scores_gemma":[0.9965747,0.000041662093,0.0010356187,0.000003365173,0.0003260453,0.0000130731405,0.0007268505,0.0001439586,0.0011346993],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815995,0.000020282154,0.0003952416,0.0008100893,0.00008057186,0.00053386175],"domain_scores_gemma":[0.9982741,0.00025048255,0.00026661827,0.0007580859,0.00024675985,0.0002039846],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008691905,0.0005552985,0.00059823523,0.00032427884,0.00012107898,0.00029599242,0.00054878247,0.00033572185,0.0000058198584],"category_scores_gemma":[0.00012547482,0.0006975266,0.00030348133,0.00021075847,0.00007331105,0.0009750546,0.00032778885,0.00039090266,0.000082562045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009750224,0.000018998051,0.00014647367,0.00053404353,0.00026585293,0.000043840082,0.00004904147,0.9966624,0.000011810278,0.0015203833,0.00037839054,0.00027126743],"study_design_scores_gemma":[0.0015715735,0.0000618353,0.0000042695556,0.00027023858,0.00012686728,0.0000053132053,0.00032014967,0.99324155,0.00007456586,0.00049730646,0.0030581115,0.0007682431],"about_ca_topic_score_codex":0.000016770302,"about_ca_topic_score_gemma":0.0000072321022,"teacher_disagreement_score":0.9432274,"about_ca_system_score_codex":0.0006659743,"about_ca_system_score_gemma":0.00005869947,"threshold_uncertainty_score":0.9995476},"labels":[],"label_agreement":null},{"id":"W2950790100","doi":"10.1109/tsp.2019.2905813","title":"Two-Timescale Hybrid Compression and Forward for Massive MIMO Aided C-RAN","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Computer science; Baseband; C-RAN; Telecommunications link; Spatial multiplexing; Multiplexing; Channel state information; Electronic engineering; Radio access network; Spectral efficiency; Remote radio head; Precoding; Real-time computing; Channel (broadcasting); Computer network; Transmitter; Wireless; Base station; Telecommunications; Engineering; Bandwidth (computing)","score_opus":0.009825371157694543,"score_gpt":0.2365107958113808,"score_spread":0.22668542465368624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950790100","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":[0.024197832,0.00025219246,0.9737762,0.000023639857,0.0002722424,0.0006287811,0.000033230415,0.00031995997,0.000495915],"genre_scores_gemma":[0.98194736,0.000011719331,0.017513167,0.000029464154,0.0000523275,0.000079752834,0.000008353396,0.00007215794,0.0002856997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990574,0.000017604429,0.00026479986,0.00027602958,0.00012803779,0.00025610693],"domain_scores_gemma":[0.99954665,0.000102264916,0.000052480755,0.00012851425,0.0000829205,0.000087174936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000771312,0.00021034961,0.0002442838,0.00013719096,0.00018486916,0.000064912776,0.000079068406,0.00006733604,0.00004271075],"category_scores_gemma":[0.0000012944306,0.00021261054,0.00006533022,0.00012975612,0.000029161822,0.00048775418,8.68178e-7,0.00017575605,0.000020612215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005208099,0.00002106529,0.000006556583,0.00031988265,0.000020246516,8.700696e-7,0.0001970874,0.90724516,0.05286269,0.0000046786495,0.000029760366,0.039239913],"study_design_scores_gemma":[0.0011930959,0.00007285265,0.0000031987834,0.0003144669,0.000034165987,0.0000112471325,0.00019623767,0.78252876,0.21519724,0.00009815379,0.00010954704,0.00024106306],"about_ca_topic_score_codex":0.000003186502,"about_ca_topic_score_gemma":0.0000024487163,"teacher_disagreement_score":0.95774955,"about_ca_system_score_codex":0.00007204391,"about_ca_system_score_gemma":0.000021102811,"threshold_uncertainty_score":0.86700064},"labels":[],"label_agreement":null},{"id":"W2950814709","doi":"10.48550/arxiv.1310.4162","title":"Competition vs. Cooperation: A Game-Theoretic Decision Analysis for MIMO HetNets","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Competition (biology); Game theory; MIMO; Computer science; Business; Microeconomics; Industrial organization; Economics; Telecommunications","score_opus":0.028767739126257276,"score_gpt":0.18128165258114365,"score_spread":0.15251391345488638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950814709","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":[0.09287571,0.000102617036,0.9045973,0.000010027407,0.00047552818,0.0008368896,0.000070142945,0.0003799149,0.0006518865],"genre_scores_gemma":[0.9917244,0.0003447788,0.006665018,0.000018100867,0.000103904895,0.000016457998,0.00054678705,0.000060799288,0.0005197741],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986503,0.00005561891,0.00032085224,0.00064121437,0.00005928374,0.0002726915],"domain_scores_gemma":[0.9985438,0.00015073955,0.00014884848,0.0006903049,0.00034285648,0.00012347482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013047851,0.0003459285,0.0005122053,0.000513717,0.00009597744,0.000088788256,0.00033525805,0.00035806105,0.00020694226],"category_scores_gemma":[0.000044531884,0.0004230413,0.0002952068,0.0007561496,0.00006157998,0.00026818464,0.00014574963,0.00025629258,0.0000964699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003497897,0.000019793593,0.00027554765,0.00013006575,0.00032076737,0.00000773782,0.00006909486,0.95342654,0.000049398946,0.04538137,0.00018266322,0.000102029684],"study_design_scores_gemma":[0.0005392358,0.000030973864,0.00013045204,0.00011862645,0.00059249625,0.0000013794997,0.000036151003,0.9883152,0.00014973772,0.0092547545,0.00039789986,0.0004330713],"about_ca_topic_score_codex":0.000027179884,"about_ca_topic_score_gemma":0.00008059697,"teacher_disagreement_score":0.89884865,"about_ca_system_score_codex":0.00036144565,"about_ca_system_score_gemma":0.000033787343,"threshold_uncertainty_score":0.99982214},"labels":[],"label_agreement":null},{"id":"W2950855463","doi":"10.48550/arxiv.cs/0703143","title":"How much feedback is required in MIMO Broadcast Channels?","year":2007,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Computer science; Channel (broadcasting); Computer network","score_opus":0.03982492513430691,"score_gpt":0.2555224139524852,"score_spread":0.2156974888181783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950855463","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":[0.72742903,0.0042809886,0.2540727,0.0005264069,0.005780301,0.0014699239,0.00006594241,0.001205149,0.0051695635],"genre_scores_gemma":[0.9916982,0.0005387432,0.0037723389,0.00008778619,0.00075301237,0.000110522975,0.00013722703,0.00020975582,0.0026924289],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997798,0.000039477247,0.0005872024,0.00069013645,0.00022865651,0.0006565016],"domain_scores_gemma":[0.9985858,0.000047881895,0.00017909083,0.00092450506,0.00012102712,0.00014167622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025225428,0.0005594836,0.0006234082,0.00041574117,0.000046095418,0.00010350298,0.00043759946,0.00073588244,0.000049338516],"category_scores_gemma":[0.0000853765,0.00066330633,0.00014515583,0.00041973667,0.000046314963,0.00033888026,0.00030180687,0.0008673172,0.00021734007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004474938,0.00010106756,0.044715665,0.002026144,0.00022905659,0.00017906055,0.0040387474,0.93037117,0.006029933,0.00006459091,0.0053541246,0.0068456703],"study_design_scores_gemma":[0.010309343,0.00030382158,0.05385726,0.0110348575,0.00038647282,0.00019570102,0.005769058,0.63394076,0.16225834,0.0032145919,0.10493533,0.013794472],"about_ca_topic_score_codex":0.00007686826,"about_ca_topic_score_gemma":0.000056921515,"teacher_disagreement_score":0.29643044,"about_ca_system_score_codex":0.00046653862,"about_ca_system_score_gemma":0.00003728024,"threshold_uncertainty_score":0.9995818},"labels":[],"label_agreement":null},{"id":"W2951139948","doi":"10.48550/arxiv.cs/0610169","title":"On the User Selection for MIMO Broadcast Channels","year":2006,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Selection (genetic algorithm); Computer science; MIMO; Computer network; Telecommunications; Channel (broadcasting); Artificial intelligence","score_opus":0.027129310421758434,"score_gpt":0.2412820877740331,"score_spread":0.21415277735227467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951139948","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":[0.25405395,0.0002332404,0.7391764,0.00013561177,0.002637058,0.0014632562,0.000041195537,0.0006551716,0.0016041328],"genre_scores_gemma":[0.9935423,0.00003506582,0.0020052209,0.00007111264,0.0009766804,0.0006895592,0.0001472581,0.00015255525,0.0023802563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891776,0.000030194808,0.00030497884,0.00034608282,0.00010723324,0.00029376408],"domain_scores_gemma":[0.99921393,0.00013241344,0.00010872388,0.0004048416,0.00010436228,0.00003573227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014267926,0.00031162545,0.0002519161,0.00009849633,0.00011138904,0.000048879214,0.0002115726,0.00029836237,0.000026276812],"category_scores_gemma":[0.000070108865,0.00026709365,0.00012317751,0.00013506626,0.000017622511,0.00008252626,0.000063890955,0.00041204353,0.000089393936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007874037,0.00001398565,0.0019128385,0.00015133237,0.00004664323,3.7852936e-7,0.00007607253,0.9882333,0.00054443494,0.00023700578,0.008485026,0.00029107594],"study_design_scores_gemma":[0.001065731,0.00014230837,0.0045515248,0.0009149539,0.00015728662,0.000012464691,0.00007033016,0.9143249,0.03005693,0.002684697,0.044329707,0.0016891726],"about_ca_topic_score_codex":0.00005336871,"about_ca_topic_score_gemma":0.00003119308,"teacher_disagreement_score":0.7394883,"about_ca_system_score_codex":0.00020943124,"about_ca_system_score_gemma":0.00001899844,"threshold_uncertainty_score":0.9999781},"labels":[],"label_agreement":null},{"id":"W2951187727","doi":"10.48550/arxiv.0807.4881","title":"Capacity and Performance of Adaptive MIMO System Based on Beam-Nulling","year":2008,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; MIMO; Beam (structure); Computer science; Interference (communication); Transmitter; Adaptive beamformer; Algorithm; Electronic engineering; Physics; Telecommunications; Optics; Engineering; Channel (broadcasting)","score_opus":0.031101437386051457,"score_gpt":0.20445182522985003,"score_spread":0.17335038784379858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951187727","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":[0.89936453,0.00029250825,0.09752049,0.0000036398624,0.00055313815,0.00044586163,0.000043596177,0.0003165595,0.0014596988],"genre_scores_gemma":[0.9937729,0.00021766915,0.0056844084,0.0000072612315,0.0001251523,0.000062257306,0.00002770434,0.00007600118,0.000026641454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99875927,0.00003397492,0.00044471162,0.0003617448,0.0001687815,0.00023149254],"domain_scores_gemma":[0.99904704,0.00007122868,0.00019923074,0.00049125304,0.00011844241,0.000072818315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013112312,0.000335158,0.00049458176,0.00016051921,0.00006812912,0.000008452252,0.00015800651,0.00028735338,0.0000027236654],"category_scores_gemma":[0.00002531089,0.00036043616,0.00007309944,0.000115627954,0.00006056589,0.00010011063,0.00007033152,0.0004744848,0.000014799688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026118227,0.000011076568,0.03081162,0.0015888266,0.00003699876,0.0000036441324,0.000208471,0.96666837,0.00049404963,0.000012102966,0.000013867518,0.00012485271],"study_design_scores_gemma":[0.00030840037,0.00008182394,0.011315091,0.0020168808,0.000031555526,0.0000076874685,0.00006483067,0.97253805,0.013251331,0.0000015814595,0.000024812774,0.0003579701],"about_ca_topic_score_codex":0.00004115262,"about_ca_topic_score_gemma":0.0000037734767,"teacher_disagreement_score":0.0944084,"about_ca_system_score_codex":0.00024479683,"about_ca_system_score_gemma":0.00003346537,"threshold_uncertainty_score":0.9998848},"labels":[],"label_agreement":null},{"id":"W2951229752","doi":"10.48550/arxiv.1406.3123","title":"Distributed Resource Allocation for Relay-Aided Device-to-Device Communication: A Message Passing Approach","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Relay; Computer science; Resource allocation; Node (physics); Computer network; Transmission (telecommunications); Wireless; Wireless network; Cellular network; Distributed computing; Power (physics); Engineering; Telecommunications","score_opus":0.054435368038643656,"score_gpt":0.19766870022586286,"score_spread":0.1432333321872192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951229752","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":[0.0107005425,0.00017002942,0.9827936,0.00007637604,0.00015721515,0.0013786824,0.00009399068,0.000779445,0.0038501134],"genre_scores_gemma":[0.94741094,0.00006184927,0.05006342,0.000050475937,0.000080159785,0.00003784812,0.0018160238,0.00011142533,0.00036782995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982121,0.00018397297,0.00041538329,0.00073791476,0.000077752185,0.00037287342],"domain_scores_gemma":[0.99744105,0.00023282699,0.00028284083,0.0015693189,0.00029017185,0.0001837595],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041824818,0.00042333594,0.00049234583,0.00024358371,0.00025655888,0.000094787785,0.00087927945,0.00046062487,0.0000064486744],"category_scores_gemma":[0.00012321994,0.0005602423,0.0001586208,0.00060159643,0.000055096578,0.00024960798,0.000444007,0.0005155979,0.00002541841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033593984,0.000028623688,0.000080204,0.0005403176,0.00009770148,0.0000020065688,0.00023211431,0.99228543,0.000076530385,0.0054593044,0.0010309557,0.00013323152],"study_design_scores_gemma":[0.00062611006,0.00001729046,0.00007812517,0.00037430754,0.00017088372,0.0000023576285,0.00040472343,0.9902846,0.000117576434,0.0010849164,0.006243897,0.00059516844],"about_ca_topic_score_codex":0.00003554032,"about_ca_topic_score_gemma":0.000031669628,"teacher_disagreement_score":0.9367104,"about_ca_system_score_codex":0.0006945764,"about_ca_system_score_gemma":0.000052585812,"threshold_uncertainty_score":0.99968493},"labels":[],"label_agreement":null},{"id":"W2951246763","doi":"10.24433/co.1243952.v1","title":"On the Total Energy Efficiency of Cell-Free Massive MIMO","year":2017,"lang":"en","type":"preprint","venue":"Research Portal (Queen's University Belfast)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; University of Cambridge; Vetenskapsrådet; Queen's University; Queen's University Belfast; Royal Academy of Engineering","keywords":"Efficient energy use; MIMO; Computer science; Spectral efficiency; Telecommunications link; Beamforming; Channel state information; Power control; Backhaul (telecommunications); Transmitter power output; Energy consumption; Mathematical optimization; Computer network; Electronic engineering; Real-time computing; Power (physics); Channel (broadcasting); Wireless; Telecommunications; Base station; Mathematics; Engineering; Transmitter; Electrical engineering","score_opus":0.015472541373556721,"score_gpt":0.24698137627349062,"score_spread":0.2315088348999339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951246763","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":[0.2077148,0.00034407855,0.1803581,0.0023325775,0.0024562418,0.0037578759,0.0018405557,0.0010045698,0.60019124],"genre_scores_gemma":[0.9858273,0.00038262774,0.0005060854,0.0000028588177,0.00011370149,0.000008075634,0.00009274679,0.000069938505,0.0129966345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972278,0.00026921264,0.00030361567,0.0005619913,0.00096407003,0.000673343],"domain_scores_gemma":[0.99652,0.00039903435,0.00025590917,0.002084489,0.0005359846,0.00020460908],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054643437,0.00036745507,0.000457901,0.0005842575,0.0004883457,0.00007134397,0.0019558156,0.00043527462,0.00018940147],"category_scores_gemma":[0.00031870516,0.0003495035,0.00023232882,0.00031315224,0.0004097399,0.00019293616,0.0018136961,0.0013885167,0.000029365121],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010129959,0.00019438843,0.000048800914,0.0006699053,0.00022697887,0.0005824469,0.00051818806,0.91981745,0.0011766955,0.051990967,0.02441184,0.0002610494],"study_design_scores_gemma":[0.018075224,0.004413631,0.004812941,0.013711732,0.0010323155,0.00008713188,0.030458042,0.57080483,0.25216398,0.047515284,0.043371525,0.013553376],"about_ca_topic_score_codex":0.0010608453,"about_ca_topic_score_gemma":0.000026425529,"teacher_disagreement_score":0.77811253,"about_ca_system_score_codex":0.0003881272,"about_ca_system_score_gemma":0.00031145333,"threshold_uncertainty_score":0.9998957},"labels":[],"label_agreement":null},{"id":"W2951273952","doi":"10.48550/arxiv.1408.3757","title":"Tier Association Probability and Spectrum Partitioning for Maximum Rate Coverage in Multi-tier Heterogeneous Networks","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematical optimization; Computer science; Outage probability; Fraction (chemistry); Optimization problem; Convex optimization; Resource allocation; Association (psychology); Relation (database); Spectrum (functional analysis); Regular polygon; Mathematics; Fading; Channel (broadcasting); Telecommunications","score_opus":0.03382004312570062,"score_gpt":0.17642571665406528,"score_spread":0.14260567352836467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951273952","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":[0.1676276,0.00007971087,0.83077043,0.000008295644,0.0004378405,0.00078613905,0.000026994448,0.00016877976,0.00009417449],"genre_scores_gemma":[0.9975946,0.00019571335,0.0016618042,0.000013824184,0.00007991709,0.000013988513,0.00009496521,0.000048994403,0.00029619015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987038,0.00013135721,0.00025911594,0.00053515803,0.000029669563,0.00034093714],"domain_scores_gemma":[0.9992148,0.0001424902,0.00018636591,0.00031194364,0.00007016415,0.00007422103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044432774,0.00026114122,0.00034745727,0.00011986315,0.000073878036,0.00005231283,0.0001278722,0.00039401918,0.000008385042],"category_scores_gemma":[0.00008409819,0.00034991,0.00008741948,0.0001517533,0.000023364857,0.00017268487,0.00012411743,0.00034392218,0.000004413125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024831019,0.000019817513,0.013881777,0.00019439116,0.000052317857,0.000007879452,0.000054276494,0.9853841,0.0000107213045,0.00026163523,0.000019405767,0.000088824],"study_design_scores_gemma":[0.0007801601,0.000017339271,0.0010830082,0.00009750669,0.00004445509,8.72097e-7,0.000007842291,0.9880311,0.00007049209,0.009436404,0.000103521066,0.00032729728],"about_ca_topic_score_codex":0.000028399922,"about_ca_topic_score_gemma":0.0003062718,"teacher_disagreement_score":0.829967,"about_ca_system_score_codex":0.0009146124,"about_ca_system_score_gemma":0.000020444426,"threshold_uncertainty_score":0.9998953},"labels":[],"label_agreement":null},{"id":"W2951338582","doi":"10.1002/dac.4011","title":"An online resource allocation algorithm to minimize system interference for inband underlay D2D communications","year":2019,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Underlay; Exploit; Resource allocation; Scheduling (production processes); Algorithm; Interference (communication); Computer network; Real-time computing; Distributed computing; Mathematical optimization; Telecommunications; Channel (broadcasting); Signal-to-noise ratio (imaging); Mathematics","score_opus":0.03382496607157273,"score_gpt":0.3050460754952459,"score_spread":0.27122110942367317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951338582","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":[0.006625424,0.0014855078,0.9878485,0.0006255555,0.0014058127,0.0008253709,0.00012626423,0.00015309735,0.00090442697],"genre_scores_gemma":[0.88963544,0.00020313195,0.10934438,0.00005564584,0.00024865931,0.000074125244,0.00028089946,0.00005681713,0.000100882164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768984,0.00027572174,0.0013021011,0.00016204949,0.0003974244,0.00017283691],"domain_scores_gemma":[0.99563533,0.0004260589,0.0006547991,0.0013594341,0.0017783305,0.00014606566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009116743,0.00020441611,0.00039177024,0.00046649174,0.00008164925,0.00021075695,0.0025060624,0.00012191455,0.0000058873807],"category_scores_gemma":[0.000056068173,0.00021029689,0.000104765306,0.00023906946,0.000036815036,0.00072345696,0.00012831931,0.00025852863,0.000026836839],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013076136,0.00021624482,0.00029743282,0.00009019253,0.00040076318,0.0000013473482,0.0020551644,0.9471139,0.006908597,0.009201282,0.0010159677,0.032568384],"study_design_scores_gemma":[0.0010121653,0.00015249256,0.00013875865,0.0011211098,0.000034567893,0.000109845976,0.0062970105,0.96602434,0.00049125095,0.00008259007,0.024257768,0.00027811865],"about_ca_topic_score_codex":0.000030092202,"about_ca_topic_score_gemma":0.000017801067,"teacher_disagreement_score":0.88301,"about_ca_system_score_codex":0.0006299044,"about_ca_system_score_gemma":0.00006497296,"threshold_uncertainty_score":0.8575658},"labels":[],"label_agreement":null},{"id":"W2951345746","doi":"10.48550/arxiv.1308.2454","title":"Understanding the Benefits of Open Access in Femtocell Networks: Stochastic Geometric Analysis in the Uplink","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Femtocell; Stochastic geometry; Telecommunications link; Computer science; Computer network; Telecommunications; Mathematics; Statistics; Base station","score_opus":0.18805955575498934,"score_gpt":0.23846954130807796,"score_spread":0.05040998555308862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951345746","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":[0.07998519,0.0003206186,0.9174494,0.000014357542,0.00015657648,0.0010754496,0.000008657681,0.000038105154,0.0009516162],"genre_scores_gemma":[0.99930066,0.00043466213,0.00009161021,0.00001063754,0.000028223118,0.00000935695,0.000033264438,0.000029690513,0.00006190658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869365,0.00012753358,0.00036405734,0.00044620718,0.00007138236,0.00029716158],"domain_scores_gemma":[0.9984019,0.00042925682,0.00025144458,0.00081394793,0.00006269155,0.000040765644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052792736,0.00026351234,0.0004907317,0.0014178549,0.00006502533,0.00022988913,0.0028090624,0.00022335113,0.000029921579],"category_scores_gemma":[0.000040945353,0.00021996468,0.0001279263,0.007016189,0.00005581789,0.00055449316,0.0012880757,0.0006071303,0.000004005989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009330766,0.000021197025,0.0076131052,0.000057894344,0.00016584202,0.0000062789063,0.00022319648,0.98765886,3.474174e-7,0.004172735,0.00003318997,0.000038010905],"study_design_scores_gemma":[0.00031005513,0.000006669258,0.004664158,0.00012512259,0.00024057148,3.7807672e-7,0.00064208533,0.99051654,0.0000015670824,0.0032699893,0.0000010292388,0.00022183014],"about_ca_topic_score_codex":0.00080401055,"about_ca_topic_score_gemma":0.0012425098,"teacher_disagreement_score":0.91931546,"about_ca_system_score_codex":0.00057481066,"about_ca_system_score_gemma":0.000033688393,"threshold_uncertainty_score":0.89698994},"labels":[],"label_agreement":null},{"id":"W2951626760","doi":"10.48550/arxiv.1405.2013","title":"Cognitive and Energy Harvesting-Based D2D Communication in Cellular Networks: Stochastic Geometry Modeling and Analysis","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Stochastic geometry; Telecommunications link; Cognitive radio; Computer science; Computer network; Transmitter; Interference (communication); Channel (broadcasting); Energy harvesting; Cellular network; Stochastic geometry models of wireless networks; Wireless; Energy (signal processing); Topology (electrical circuits); Telecommunications; Radio resource management; Wireless network; Electrical engineering; Engineering; Mathematics; Statistics","score_opus":0.028702090674279784,"score_gpt":0.17151844413021985,"score_spread":0.14281635345594007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951626760","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":[0.19183321,0.0007595522,0.8070329,0.0000020451928,0.00004136236,0.00010692459,0.000010299529,0.0001178177,0.00009587459],"genre_scores_gemma":[0.9982335,0.00028477755,0.0011159317,0.000009666886,0.000020323516,0.0000030758222,0.00025143064,0.000037883106,0.000043389977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989191,0.0001270411,0.00023519453,0.0004750441,0.00003631809,0.0002072771],"domain_scores_gemma":[0.99903816,0.00023512683,0.00012910525,0.00040319155,0.00010130458,0.00009313657],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020339241,0.0002629585,0.0004160395,0.00071585143,0.00007654315,0.000048621703,0.0001739366,0.00026885472,0.000003179527],"category_scores_gemma":[0.00004212834,0.00036049454,0.00006329405,0.0007674757,0.00006728125,0.0001549256,0.00022651706,0.0003640477,6.2541744e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013739741,0.000010022177,0.0015536644,0.00008660042,0.00015650406,0.000007153887,0.000048400983,0.99743325,0.0000058913733,0.00046112534,4.663085e-7,0.00022317198],"study_design_scores_gemma":[0.00043404268,0.0000084406,0.00012293765,0.00029961098,0.00045727074,4.066255e-7,0.0000959863,0.9977273,0.0000070835167,0.00052500254,7.583308e-7,0.00032118015],"about_ca_topic_score_codex":0.00036034867,"about_ca_topic_score_gemma":0.0004024056,"teacher_disagreement_score":0.8064003,"about_ca_system_score_codex":0.0001337745,"about_ca_system_score_gemma":0.00001722054,"threshold_uncertainty_score":0.9998847},"labels":[],"label_agreement":null},{"id":"W2951657156","doi":"10.48550/arxiv.1901.11067","title":"Delay Analysis of Spatially-Coded MIMO-ZFBF with Retransmissions in Random Networks","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Retransmission; MIMO; Computer science; Algorithm; Non-line-of-sight propagation; Coverage probability; Beamforming; Fading; Estimator; Topology (electrical circuits); Mathematics; Network packet; Computer network; Telecommunications; Statistics; Decoding methods; Wireless","score_opus":0.02068977413671524,"score_gpt":0.16561029170423622,"score_spread":0.14492051756752097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951657156","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":[0.12295413,0.00014085695,0.874427,0.0000025468294,0.00017362417,0.00046623492,0.00002963674,0.00013157116,0.0016743748],"genre_scores_gemma":[0.9973335,0.0004402587,0.0016969496,0.0000039579286,0.00002077406,0.0000017781979,0.00015366366,0.000049938186,0.00029914436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986918,0.000090070076,0.00035734012,0.0005270563,0.00006193191,0.00027182582],"domain_scores_gemma":[0.998718,0.00012739844,0.00019998476,0.00073856086,0.000120512195,0.00009549654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015582312,0.000317705,0.0008326809,0.0008064107,0.000027639206,0.000013055788,0.0003607593,0.00040148848,0.000057482503],"category_scores_gemma":[0.000014484487,0.0003393223,0.00023074352,0.0017993859,0.000047986057,0.00013914242,0.00010236515,0.0005237239,0.0000039450074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017271111,0.00002579844,0.012358731,0.00013548565,0.0009013097,0.000051865474,0.00014829433,0.9858222,0.000040127517,0.0002894852,0.000010288415,0.00004371353],"study_design_scores_gemma":[0.0014934083,0.000019655048,0.0007459788,0.00027750197,0.0010503555,5.6941366e-7,0.000041652253,0.9958629,0.00006632914,0.00007513306,0.000015873316,0.00035063465],"about_ca_topic_score_codex":0.0002442632,"about_ca_topic_score_gemma":0.0010440713,"teacher_disagreement_score":0.8743794,"about_ca_system_score_codex":0.00021383243,"about_ca_system_score_gemma":0.00006943005,"threshold_uncertainty_score":0.9999059},"labels":[],"label_agreement":null},{"id":"W2951726173","doi":"10.48550/arxiv.1503.07542","title":"Energy-Efficient Adaptive Power Allocation for Incremental MIMO Systems","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hybrid automatic repeat request; Mathematical optimization; Network packet; Computer science; Geometric programming; MIMO; Convex optimization; Optimization problem; Regular polygon; Mathematics; Telecommunications link","score_opus":0.04883669333778769,"score_gpt":0.17850640070780904,"score_spread":0.12966970737002137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951726173","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":[0.021015853,0.0004070066,0.97177404,0.0000031461002,0.0017449647,0.0008292626,0.00013790489,0.00045693558,0.0036308893],"genre_scores_gemma":[0.9975447,0.000048422717,0.0009980669,0.000006135736,0.00012361901,0.000019399977,0.00023830745,0.000080783204,0.00094056246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987085,0.000058369635,0.0002719171,0.00057822274,0.000077136916,0.00030583848],"domain_scores_gemma":[0.9987532,0.00004782248,0.0001782855,0.00051331945,0.0003586412,0.00014873558],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019493588,0.0003512528,0.00034954326,0.00023808252,0.00007379474,0.000041884618,0.00033531868,0.00033324503,0.0000077129735],"category_scores_gemma":[0.000016698688,0.0004466685,0.00012331433,0.0002362277,0.0000404629,0.00014223733,0.00020573991,0.00020433308,0.00002257674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043760378,0.000031825417,0.00001983999,0.000118357755,0.0001237696,0.000009276198,0.00014157173,0.9796378,0.0001293618,0.01874632,0.0009697004,0.000028414554],"study_design_scores_gemma":[0.0005784272,0.000048032103,0.0000040599393,0.0001542722,0.00008372113,0.0000022611905,0.00062129454,0.9964861,0.00021762341,0.000645211,0.00071417267,0.00044477446],"about_ca_topic_score_codex":0.00013815117,"about_ca_topic_score_gemma":0.000031680564,"teacher_disagreement_score":0.9765288,"about_ca_system_score_codex":0.0012177179,"about_ca_system_score_gemma":0.00008996781,"threshold_uncertainty_score":0.99979854},"labels":[],"label_agreement":null},{"id":"W2951830991","doi":"10.48550/arxiv.1312.2681","title":"Degrees of Freedom of MIMO Cellular Networks: Decomposition and Linear Beamforming Design","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; MIMO; Degrees of freedom (physics and chemistry); Cellular network; Interference (communication); Spectral efficiency; Computer science; Topology (electrical circuits); Set (abstract data type); Base station; Focus (optics); Mathematics; Mathematical optimization; Algorithm; Control theory (sociology); Telecommunications; Combinatorics; Physics; Artificial intelligence","score_opus":0.03696294578083208,"score_gpt":0.17345103976579987,"score_spread":0.1364880939849678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951830991","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":[0.1676654,0.0004749373,0.83104545,6.491774e-7,0.00020515517,0.0003589862,0.000010534486,0.00009492361,0.00014395168],"genre_scores_gemma":[0.9414044,0.00057032367,0.057839002,6.6982307e-7,0.000056239893,0.0000013203646,0.0000360821,0.0000397507,0.000052212534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912506,0.000052883923,0.00030020272,0.00030252273,0.00003973414,0.00017960176],"domain_scores_gemma":[0.99908245,0.00009278038,0.00024329903,0.00036781936,0.00014242451,0.00007125967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011871794,0.00023818217,0.00039562362,0.00020377144,0.000035648194,0.0000092916325,0.00021927593,0.00029012203,0.000012652764],"category_scores_gemma":[0.000012030194,0.0002957768,0.000084925356,0.00019662733,0.00008381642,0.00021790649,0.0001841144,0.00023124757,0.000002781792],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001578187,0.000015139448,0.00047717337,0.00035787703,0.00008705151,0.0000067500227,0.00008835557,0.99610895,0.0018577346,0.0008901136,0.000020565527,0.00007453794],"study_design_scores_gemma":[0.00028040065,0.000032677326,0.00006721927,0.00033343717,0.00009949927,0.0000014673165,0.000072511226,0.996239,0.0022458858,0.0003873942,0.000005965108,0.00023452486],"about_ca_topic_score_codex":0.00011533977,"about_ca_topic_score_gemma":0.000010803944,"teacher_disagreement_score":0.773739,"about_ca_system_score_codex":0.00008529848,"about_ca_system_score_gemma":0.000018945382,"threshold_uncertainty_score":0.99994946},"labels":[],"label_agreement":null},{"id":"W2951919852","doi":"10.48550/arxiv.1710.01265","title":"A D2D-based Protocol for Ultra-Reliable Wireless Communications for Industrial Automation","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless; Computer science; Automation; Base station; Telecommunications link; Beamforming; Latency (audio); Relay; Computer network; Reliability (semiconductor); Low latency (capital markets); Protocol (science); Embedded system; Engineering; Telecommunications","score_opus":0.15261159506533287,"score_gpt":0.2533904437653072,"score_spread":0.10077884869997436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951919852","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":[0.00045306957,0.0000032866917,0.8833034,0.000028521,0.00032837354,0.114012316,0.00022180974,0.00058608147,0.0010631278],"genre_scores_gemma":[0.90381634,0.0000088451725,0.018917799,0.000012310318,0.0002708599,0.07511632,0.00074817444,0.00015569235,0.0009536758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889994,0.000038824088,0.00029819302,0.00043965585,0.00004190312,0.0002814765],"domain_scores_gemma":[0.99738884,0.00018793519,0.00037670438,0.0016716712,0.000288917,0.0000859216],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022216655,0.00030219372,0.00035832106,0.00018952801,0.00035488556,0.000094743424,0.0010146102,0.0005340414,0.0000070237147],"category_scores_gemma":[0.00007995611,0.00038972526,0.0001887459,0.0001262649,0.00008000379,0.00028159478,0.0001225629,0.00034168796,0.000007685225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092769005,0.000048399816,0.00011677299,0.000701448,0.00006127765,8.8382546e-7,0.000035071756,0.9938268,0.00014387046,0.0031596236,0.0013429819,0.00047010346],"study_design_scores_gemma":[0.003087525,0.000043999484,0.0000051646603,0.00046229406,0.00008254971,3.0347746e-7,0.000024777024,0.98530143,0.0013079592,0.0024138077,0.006877631,0.00039253556],"about_ca_topic_score_codex":0.000040175786,"about_ca_topic_score_gemma":0.000053120133,"teacher_disagreement_score":0.9033632,"about_ca_system_score_codex":0.00044364258,"about_ca_system_score_gemma":0.00020501779,"threshold_uncertainty_score":0.99985546},"labels":[],"label_agreement":null},{"id":"W2952153933","doi":"10.48550/arxiv.1501.04199","title":"Distributed Resource Allocation in D2D-Enabled Multi-tier Cellular Networks: An Auction Approach","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Resource allocation; Scalability; Computer network; Distributed computing; Resource management (computing); Scheme (mathematics); Heterogeneous network; Throughput; Interference (communication); Wireless network; Radio resource management; Wireless; Channel (broadcasting); Telecommunications","score_opus":0.05069860608457008,"score_gpt":0.17620045708998192,"score_spread":0.12550185100541184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952153933","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":[0.053011175,0.00018036074,0.9445545,0.00000286909,0.00038976822,0.0006862615,0.000028806624,0.0005944572,0.0005517748],"genre_scores_gemma":[0.9937853,0.00008076867,0.0031799597,0.000004169962,0.00015502062,0.000008305477,0.0022529901,0.00008783888,0.00044560747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825877,0.00019142425,0.00033301342,0.000767487,0.00006946032,0.00037983173],"domain_scores_gemma":[0.99865294,0.00002012039,0.00017364768,0.00081253925,0.00017209312,0.00016867206],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00035306145,0.00038683004,0.000393434,0.00031876715,0.00006634919,0.00005143046,0.0004120878,0.00060409016,0.000005596632],"category_scores_gemma":[0.000024800021,0.0005158636,0.00007971217,0.0007364677,0.000048131642,0.00046314934,0.00019966564,0.00067608885,0.0000125809165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003381535,0.000087437315,0.00048785526,0.0001223412,0.00004023844,0.000026603026,0.00019697093,0.99842685,0.0000711469,0.0002593865,0.00016447957,0.00008286469],"study_design_scores_gemma":[0.0008404041,0.000015788748,0.0001168007,0.00008576812,0.0000572703,0.000001959062,0.00049164204,0.9972887,0.00007038412,0.00028846375,0.0002530739,0.00048975064],"about_ca_topic_score_codex":0.00012735676,"about_ca_topic_score_gemma":0.000073877476,"teacher_disagreement_score":0.94137454,"about_ca_system_score_codex":0.0011271215,"about_ca_system_score_gemma":0.000052323783,"threshold_uncertainty_score":0.9997293},"labels":[],"label_agreement":null},{"id":"W2952268029","doi":"10.1109/twc.2019.2920823","title":"Multi-Cell Sparse Activity Detection for Massive Random Access: Massive MIMO Versus Cooperative MIMO","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; False alarm; Cooperative MIMO; Base station; 3G MIMO; Quantization (signal processing); Multi-user MIMO; Interference (communication)","score_opus":0.036412208541405665,"score_gpt":0.2855182315073187,"score_spread":0.24910602296591303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952268029","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":[0.022434855,0.00013912203,0.97178274,0.00014089688,0.0014939106,0.0024644309,0.00027150553,0.0005445457,0.0007279865],"genre_scores_gemma":[0.98489016,0.000522494,0.012130698,0.000019603222,0.000032706805,0.001721744,0.000050010607,0.000120349345,0.000512237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984671,0.00019179605,0.0004266124,0.00039092873,0.0001595648,0.0003639858],"domain_scores_gemma":[0.9967794,0.0009883385,0.00017321769,0.0016001714,0.00033754305,0.00012136022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013823672,0.0003774167,0.00043043558,0.00028178078,0.0005637708,0.0001132866,0.0007707299,0.00024298482,0.00004965635],"category_scores_gemma":[0.000016628379,0.00042509584,0.00020754334,0.0005449338,0.000110358495,0.0009262756,0.000008603293,0.0005679396,0.00013789351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004396376,0.00032116997,0.000003211723,0.00008401403,0.00015337211,3.3700638e-7,0.00044226303,0.9168588,0.07334873,0.000022577686,0.000036028217,0.008289849],"study_design_scores_gemma":[0.006677134,0.00013435513,0.000014829736,0.00007135284,0.00009925908,0.0000012427874,0.00041144458,0.76821584,0.22350386,0.000004956688,0.00046889207,0.00039687098],"about_ca_topic_score_codex":0.0000665327,"about_ca_topic_score_gemma":0.0009596469,"teacher_disagreement_score":0.9624553,"about_ca_system_score_codex":0.00045439703,"about_ca_system_score_gemma":0.00006749222,"threshold_uncertainty_score":0.9998201},"labels":[],"label_agreement":null},{"id":"W2952309447","doi":"10.48550/arxiv.0804.2473","title":"A Design Framework for Limited Feedback MIMO Systems with Zero-Forcing DFE","year":2008,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Forcing (mathematics); Zero (linguistics); MIMO; Control theory (sociology); Computer science; Mathematics; Telecommunications; Artificial intelligence; Control (management); Philosophy; Mathematical analysis","score_opus":0.04937307961469605,"score_gpt":0.24627800262931976,"score_spread":0.1969049230146237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952309447","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":[0.02785329,0.0017467246,0.9639447,0.000021957363,0.0018582223,0.0028662607,0.000035363715,0.001285524,0.00038799888],"genre_scores_gemma":[0.75918263,0.00050352915,0.23749505,0.000031346903,0.00059550995,0.0012221887,0.00014661773,0.00040300857,0.00042010596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99760437,0.00007441666,0.00071187847,0.00072028796,0.00023749244,0.0006515703],"domain_scores_gemma":[0.9978061,0.00039306685,0.00032820832,0.0010357217,0.00027057677,0.00016633047],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000217856,0.00069375144,0.0008490161,0.000229199,0.00016248671,0.00009271821,0.0004211485,0.00083756587,0.000004842434],"category_scores_gemma":[0.00016737357,0.0006844553,0.00014481031,0.000320481,0.00005226606,0.00020679437,0.0001250101,0.0008572484,0.000067744586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057294226,0.000018481953,0.0027067228,0.0012464558,0.0002346707,0.000016615819,0.00054725545,0.9939575,0.00027989017,0.00012157366,0.00069754495,0.00011598306],"study_design_scores_gemma":[0.0014446556,0.00021358111,0.00077084504,0.0066347495,0.0002575731,0.00010333375,0.000293596,0.98269254,0.003105803,0.00058788224,0.0017458164,0.0021496068],"about_ca_topic_score_codex":0.00003666244,"about_ca_topic_score_gemma":0.0000033863585,"teacher_disagreement_score":0.7313294,"about_ca_system_score_codex":0.00039362858,"about_ca_system_score_gemma":0.00009472254,"threshold_uncertainty_score":0.99956065},"labels":[],"label_agreement":null},{"id":"W2952700608","doi":"10.48550/arxiv.1306.6924","title":"Optimal Tx-BF for MIMO SC-FDE Systems","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"MIMO; Beamforming; SC-FDE; Computer science; Transmitter power output; Single antenna interference cancellation; Control theory (sociology); Interference (communication); Equalization (audio); Minimum mean square error; Power (physics); Algorithm; Bit error rate; Matrix (chemical analysis); Mathematical optimization; Mathematics; Telecommunications; Channel (broadcasting); Decoding methods; Statistics","score_opus":0.04407580787993086,"score_gpt":0.17124542996218162,"score_spread":0.12716962208225074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952700608","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":[0.060902216,0.00045021233,0.93137246,0.0000063127127,0.002150448,0.0015529819,0.000114823015,0.00083744567,0.002613099],"genre_scores_gemma":[0.98810494,0.000230364,0.0062826485,0.000006723003,0.00032167925,0.000029532082,0.00015347336,0.00013756062,0.0047330614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983765,0.000045202956,0.0003275892,0.00071875105,0.000056780806,0.00047516997],"domain_scores_gemma":[0.9984861,0.00009945145,0.00018413296,0.00081385,0.00023658195,0.0001798916],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001283098,0.00046212447,0.0005252282,0.00026874055,0.00010402745,0.00009602137,0.00056564726,0.0005260589,0.000035852245],"category_scores_gemma":[0.00003287384,0.0005837142,0.00021581321,0.00024373262,0.00005406761,0.0003373965,0.00026507536,0.00040939669,0.00017371203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000149100415,0.000015763559,0.00011726364,0.00065311947,0.00014493609,0.000019257499,0.00007077937,0.9885524,0.00010352579,0.00859036,0.0016730344,0.000044630266],"study_design_scores_gemma":[0.00053781876,0.000025991281,0.000016534674,0.00025474693,0.00011209292,0.0000044427557,0.00016040393,0.9951251,0.00013843294,0.0006474839,0.0023663375,0.00061059825],"about_ca_topic_score_codex":0.00011888192,"about_ca_topic_score_gemma":0.000012554531,"teacher_disagreement_score":0.92720276,"about_ca_system_score_codex":0.00048175096,"about_ca_system_score_gemma":0.000056065037,"threshold_uncertainty_score":0.99966145},"labels":[],"label_agreement":null},{"id":"W2952794318","doi":"10.48550/arxiv.1309.7527","title":"Structured Spectrum Allocation and User Association in Heterogeneous Cellular Networks","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mathematical optimization; Telecommunications link; Frequency allocation; Nash equilibrium; Stochastic geometry; Association scheme; Base station; Convex optimization; Geometric programming; Association (psychology); Cellular network; Spectrum (functional analysis); Regular polygon; Mathematics; Computer network; Statistics","score_opus":0.014517939259700583,"score_gpt":0.14433664165565424,"score_spread":0.12981870239595367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952794318","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":[0.44371623,0.00021969553,0.5548625,0.000008379915,0.00045844098,0.00038586053,0.0000060919992,0.00018097035,0.00016185491],"genre_scores_gemma":[0.9984126,0.00049607037,0.00041383243,0.0000075684043,0.00009690236,0.0000026190214,0.00008765029,0.000047732854,0.0004350023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990008,0.000063425854,0.00020543466,0.00042658136,0.000039558927,0.00026420687],"domain_scores_gemma":[0.999365,0.00003653009,0.00015162685,0.0003259166,0.00005062393,0.00007035033],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009217519,0.0002510362,0.00026629187,0.00018551698,0.00003706852,0.00004987353,0.00016377254,0.00047642068,0.000026485117],"category_scores_gemma":[0.0000146317,0.0003357238,0.000050238425,0.00021997628,0.000015549704,0.00020034355,0.00013682792,0.00041279773,0.00001277463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004548872,0.000005932686,0.005756091,0.000063269974,0.00004955964,0.000018341008,0.000057530804,0.99307805,0.00013380355,0.00072754326,0.000048933493,0.000056373035],"study_design_scores_gemma":[0.00030500672,0.0000075451626,0.0010004643,0.000057661735,0.000037242728,0.0000012307066,0.00002283137,0.9956813,0.00037223872,0.0021577298,0.000048423048,0.00030835607],"about_ca_topic_score_codex":0.00011903789,"about_ca_topic_score_gemma":0.0003001353,"teacher_disagreement_score":0.5546964,"about_ca_system_score_codex":0.00081679807,"about_ca_system_score_gemma":0.000015189725,"threshold_uncertainty_score":0.99990946},"labels":[],"label_agreement":null},{"id":"W2952822678","doi":"10.48550/arxiv.1902.01943","title":"A New Relation Between Energy Efficiency and Spectral Efficiency in Wireless Communications Systems","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Metric (unit); Efficient energy use; Spectral efficiency; Computer science; Wireless; Software deployment; Performance metric; Transmission (telecommunications); Power (physics); Perspective (graphical); Relation (database); Power control; Telecommunications; Distributed computing; Electrical engineering; Engineering; Business; Data mining; Operations management","score_opus":0.035213048311340374,"score_gpt":0.18185638369993515,"score_spread":0.14664333538859478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952822678","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":[0.13407804,0.00065353146,0.8605535,0.000008092336,0.00035759064,0.00039394503,0.000018046674,0.00024936564,0.0036878786],"genre_scores_gemma":[0.99784195,0.0007761563,0.000552368,0.0000016997736,0.0000652906,0.0000018755157,0.00009165411,0.000046022986,0.00062297715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987374,0.00010481121,0.00032841033,0.0004939866,0.000057352583,0.00027805558],"domain_scores_gemma":[0.99853075,0.00013506447,0.00015871713,0.0010144995,0.000051344618,0.000109651635],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014449697,0.00028050106,0.0003968786,0.00040481833,0.00007157292,0.000049083636,0.00058161415,0.00035365016,0.000003720589],"category_scores_gemma":[0.000012916019,0.0003675377,0.000060885766,0.00057026884,0.000055499182,0.0002240663,0.00037612807,0.00047712488,0.000015910766],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003727026,0.000012909751,0.0104972,0.0001282905,0.000023910401,0.0000060175207,0.00017864691,0.96156937,0.000036675887,0.027400235,0.000017690287,0.00012532866],"study_design_scores_gemma":[0.00044404,0.00001783556,0.0020121066,0.0003086882,0.000047792393,0.0000021158764,0.00011010742,0.9958106,0.000023289933,0.0007895295,0.00007000408,0.00036388022],"about_ca_topic_score_codex":0.0007613572,"about_ca_topic_score_gemma":0.00015284923,"teacher_disagreement_score":0.8637639,"about_ca_system_score_codex":0.00046934432,"about_ca_system_score_gemma":0.00008884788,"threshold_uncertainty_score":0.99987763},"labels":[],"label_agreement":null},{"id":"W2952960355","doi":"10.48550/arxiv.0912.3323","title":"Minimizing Sum-MSE Implies Identical Downlink and Dual Uplink Power Allocations","year":2009,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Duality (order theory); Mathematical optimization; Computer science; Power (physics); Constraint (computer-aided design); Convex optimization; Regular polygon; Dual (grammatical number); Iterative method; Mathematics; Discrete mathematics; Computer network","score_opus":0.033371079279887784,"score_gpt":0.18294808543403268,"score_spread":0.1495770061541449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952960355","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":[0.107084855,0.00039566553,0.8868142,0.0000501281,0.0005535889,0.0004598926,0.00012247267,0.0007399801,0.0037792642],"genre_scores_gemma":[0.99313486,0.00046515217,0.0054942076,0.00002136285,0.0000897906,0.000002268236,0.00019183235,0.00005192782,0.0005486157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998681,0.000038548627,0.0003049691,0.0005921149,0.000050931005,0.00033241612],"domain_scores_gemma":[0.9989611,0.000103913546,0.00010618878,0.0005429156,0.0001180436,0.00016785969],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001052231,0.00035541985,0.0003583411,0.0002576837,0.00012402174,0.000085953136,0.00024322694,0.00039136515,0.00009959506],"category_scores_gemma":[0.000053988733,0.0004588615,0.00010744551,0.00025852805,0.000094420044,0.00028665108,0.0002984755,0.0005159287,0.000055759534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010742267,0.00002434299,0.00029983686,0.00011212041,0.000094180024,0.00007907201,0.00019913986,0.9877668,0.00013308633,0.0103773475,0.0007379576,0.00016538819],"study_design_scores_gemma":[0.00089157635,0.000050360144,0.0027276361,0.0004304386,0.00028919647,0.000036705045,0.0005787005,0.9796463,0.00016305558,0.012988779,0.00088328746,0.0013139473],"about_ca_topic_score_codex":0.00002001941,"about_ca_topic_score_gemma":0.00002846427,"teacher_disagreement_score":0.88605,"about_ca_system_score_codex":0.00021732933,"about_ca_system_score_gemma":0.00004788617,"threshold_uncertainty_score":0.9997863},"labels":[],"label_agreement":null},{"id":"W2953126301","doi":"10.48550/arxiv.1312.2169","title":"Spectral Efficiency and Outage Performance for Hybrid D2D-Infrastructure Uplink Cooperation","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Telecommunications link; Spectral efficiency; Computer science; Base station; Rayleigh fading; Channel state information; Transmission (telecommunications); Computer network; Duplex (building); Fading; Channel (broadcasting); Telecommunications; Electronic engineering; Real-time computing; Wireless; Engineering","score_opus":0.01826529519809459,"score_gpt":0.1591537642821564,"score_spread":0.14088846908406183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953126301","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":[0.41216108,0.00007312558,0.586221,0.0000033696144,0.00038889813,0.0005333562,0.000025710902,0.00020928137,0.00038420837],"genre_scores_gemma":[0.99568594,0.0003583394,0.0030757105,0.000008312722,0.00013216148,0.0000055347637,0.00011110882,0.000052355088,0.00057052926],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990067,0.0000140303455,0.00018804717,0.00048848346,0.000029673733,0.0002730942],"domain_scores_gemma":[0.9993255,0.000029260009,0.000090493646,0.00035158318,0.00011283711,0.00009032021],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006686179,0.0002979493,0.00027125597,0.00014207278,0.00011949315,0.00006283163,0.0002175927,0.00019965865,0.00002735122],"category_scores_gemma":[0.0000126341165,0.0003497934,0.00006448853,0.0001287633,0.00005036702,0.00031789276,0.00012408633,0.00032220382,0.00001848632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010664685,0.0000060376524,0.00045183706,0.00033191248,0.000027070091,0.0000048289603,0.00008341181,0.9968709,0.00020614694,0.0014277234,0.00019945546,0.00038001398],"study_design_scores_gemma":[0.00041078398,0.000035092988,0.0002176104,0.000073612486,0.000045788027,0.0000056555955,0.000028620314,0.99717957,0.00073693926,0.0007620657,0.0001431014,0.0003611613],"about_ca_topic_score_codex":0.000008306916,"about_ca_topic_score_gemma":0.0000035269252,"teacher_disagreement_score":0.5835249,"about_ca_system_score_codex":0.00020878097,"about_ca_system_score_gemma":0.000033753226,"threshold_uncertainty_score":0.9998954},"labels":[],"label_agreement":null},{"id":"W2953146281","doi":"10.1109/wd.2019.8734248","title":"Revisiting Downlink Scheduling in a Multi-Cell OFDMA Network: From Full Base Station Coordination to Practical Schemes","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Base station; Mathematical optimization; Upper and lower bounds; Telecommunications link; Job shop scheduling; Fair-share scheduling; Parameterized complexity; Distributed computing; Integer programming; Dynamic priority scheduling; Benchmark (surveying); Schedule; Mathematics; Computer network; Algorithm","score_opus":0.018557090477949047,"score_gpt":0.27313170128735437,"score_spread":0.2545746108094053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953146281","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":[0.2389966,0.00016837408,0.75936633,0.00016911466,0.00020381557,0.00046842644,0.0000063908337,0.00021855863,0.0004024173],"genre_scores_gemma":[0.56556785,0.000013644729,0.43403372,0.000045236735,0.00010951411,0.000029867613,0.000060903403,0.00003003525,0.00010924544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988775,0.0000494349,0.0004022543,0.00026895813,0.00012631326,0.0002755105],"domain_scores_gemma":[0.9993621,0.00020052902,0.00007551735,0.00018569299,0.00010087815,0.00007524741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002836309,0.00015617242,0.00020439885,0.00011499324,0.000028673689,0.000051099174,0.00006134253,0.00010367428,0.00018898996],"category_scores_gemma":[0.00018270747,0.00017233244,0.000026652251,0.00036599586,0.000003842647,0.0005706597,0.00003273479,0.00018981521,0.00022946448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000151341965,0.000017437273,0.0033498784,0.000068010915,0.000007163327,0.0000022125614,0.00014329307,0.96088624,0.031612545,0.00013480854,0.00004913275,0.0037141407],"study_design_scores_gemma":[0.00079575286,0.000013597401,0.0003414791,0.00021165334,0.0000074753175,7.354528e-7,0.00028906754,0.9939803,0.0038198554,0.000018560004,0.00031210238,0.00020946225],"about_ca_topic_score_codex":0.00006475505,"about_ca_topic_score_gemma":0.00005356209,"teacher_disagreement_score":0.32657126,"about_ca_system_score_codex":0.00016832305,"about_ca_system_score_gemma":0.000019969682,"threshold_uncertainty_score":0.7027513},"labels":[],"label_agreement":null},{"id":"W2953170541","doi":"10.48550/arxiv.1503.00674","title":"5G Cellular: Key Enabling Technologies and Research Challenges","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Key (lock); Computer science; Wireless; Cellular network; Latency (audio); Emerging technologies; Low latency (capital markets); Quality of experience; Telecommunications; Computer network; Quality of service; Computer security","score_opus":0.04580415536501142,"score_gpt":0.2679850203139873,"score_spread":0.22218086494897588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953170541","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":[0.045429032,0.18753067,0.58686537,0.009132328,0.000817696,0.0019004191,0.000079686,0.0054897023,0.16275513],"genre_scores_gemma":[0.914628,0.026420362,0.056440428,0.0000032122925,0.000035105535,0.0001821002,0.0001673208,0.00011743355,0.0020059925],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961812,0.0019067604,0.00042106502,0.0006526219,0.0004011875,0.00043715443],"domain_scores_gemma":[0.99469364,0.0008435645,0.00014955594,0.0018443061,0.0023472325,0.000121683835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006898918,0.00031039587,0.00036672477,0.00045926135,0.00022060075,0.00028219383,0.00088356074,0.00052302476,0.000009373727],"category_scores_gemma":[0.0021332703,0.0003482767,0.0000612894,0.00037009327,0.00026757637,0.00017753034,0.001220617,0.0011222328,0.000025459713],"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":[0.000025941255,0.0005366772,0.00044938154,0.0056842426,0.00043448727,0.000046040605,0.103629865,0.071569346,0.037813768,0.18892917,0.0043493817,0.5865317],"study_design_scores_gemma":[0.0014673544,0.0000017779504,0.00013195621,0.010601076,0.00008322401,0.000038399747,0.013138194,0.42698207,0.38399926,0.06740319,0.093818955,0.0023345272],"about_ca_topic_score_codex":0.0001243634,"about_ca_topic_score_gemma":0.00045743314,"teacher_disagreement_score":0.86919904,"about_ca_system_score_codex":0.00023312768,"about_ca_system_score_gemma":0.00010700239,"threshold_uncertainty_score":0.99989694},"labels":[],"label_agreement":null},{"id":"W2953203066","doi":"10.48550/arxiv.1001.3118","title":"Energy Optimization across Training and Data for Multiuser Minimum Sum-MSE Linear Precoding","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Telecommunications link; Rayleigh fading; Transceiver; Computer science; Channel (broadcasting); Minimum mean square error; Energy (signal processing); Mathematical optimization; Mean squared error; Block (permutation group theory); Algorithm; Mathematics; Fading; Statistics; Telecommunications; Wireless; MIMO","score_opus":0.10139508945484452,"score_gpt":0.23097928836111783,"score_spread":0.12958419890627332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953203066","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":[0.029427364,0.000109585126,0.9680648,0.000006687642,0.0008888073,0.00041912557,0.0005021948,0.00040233156,0.00017910876],"genre_scores_gemma":[0.9297013,0.0004935329,0.06765989,0.0000106043335,0.00026774654,0.0000057225993,0.001242294,0.000115665345,0.0005031851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983877,0.00003178117,0.00027251372,0.0008868312,0.000040267965,0.00038088806],"domain_scores_gemma":[0.9983721,0.00014623589,0.00016788443,0.0010492447,0.00013045045,0.00013408081],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022796476,0.00035125858,0.00038110177,0.00013668212,0.0001653858,0.00007613968,0.0006135663,0.00054132304,0.000010967546],"category_scores_gemma":[0.00009479895,0.00045976375,0.000066621105,0.00017765531,0.00006815795,0.0005679211,0.00071753317,0.0003976887,0.0000017711127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021773809,0.000012292255,0.00008336037,0.00021059114,0.00007582798,0.000008353627,0.00044774427,0.9976073,0.00016909612,0.00032442284,0.000060335326,0.000978905],"study_design_scores_gemma":[0.0007112858,0.000012972883,0.000005287797,0.0001250524,0.00007597409,0.0000031480022,0.00031536,0.99682134,0.0001780503,0.00019494572,0.0011011398,0.00045546205],"about_ca_topic_score_codex":0.000044312175,"about_ca_topic_score_gemma":0.00022327284,"teacher_disagreement_score":0.90040493,"about_ca_system_score_codex":0.000101415695,"about_ca_system_score_gemma":0.00004463147,"threshold_uncertainty_score":0.9997854},"labels":[],"label_agreement":null},{"id":"W2953342186","doi":"10.48550/arxiv.1402.0045","title":"Pilot Optimization and Channel Estimation for Multiuser Massive MIMO Systems","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Algorithm; MIMO; Rayleigh quotient; Minimum mean square error; Channel (broadcasting); Mathematical optimization; Telecommunications link; Computer science; Mathematics; Statistics; Telecommunications; Estimator","score_opus":0.042443210053713494,"score_gpt":0.1801020664316998,"score_spread":0.1376588563779863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953342186","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":[0.005464203,0.00017554329,0.99089426,0.000007678369,0.0012388019,0.0013656474,0.00007121162,0.0005054192,0.0002772159],"genre_scores_gemma":[0.9832441,0.00020213089,0.015589029,0.0000064186834,0.00013939543,0.000024332505,0.00027915547,0.00009336226,0.0004220382],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988167,0.000053211534,0.00026265412,0.00056583196,0.000043131735,0.00025841565],"domain_scores_gemma":[0.99893546,0.0001197687,0.00021285731,0.0004127215,0.00020813596,0.00011104314],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013966035,0.00034672418,0.00037706288,0.00024791644,0.00010914281,0.0000754548,0.00019633959,0.00025006238,0.0000037263992],"category_scores_gemma":[0.000062667954,0.00043999666,0.00006777376,0.00015983667,0.00004185401,0.0002917042,0.00012895397,0.00021536324,0.000008803669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025635063,0.000013885199,0.000028090551,0.00086124387,0.00007074936,0.0000035906671,0.000077684876,0.9965127,0.000031687014,0.0021869515,0.00014759877,0.00004019431],"study_design_scores_gemma":[0.0007979543,0.000053264357,0.000009551906,0.00029884148,0.00011150134,0.0000020523014,0.00007805884,0.9974143,0.000054907912,0.0007132722,0.00003885404,0.00042745125],"about_ca_topic_score_codex":0.00004653821,"about_ca_topic_score_gemma":0.000011781185,"teacher_disagreement_score":0.9777799,"about_ca_system_score_codex":0.00026550615,"about_ca_system_score_gemma":0.000023671508,"threshold_uncertainty_score":0.99980515},"labels":[],"label_agreement":null},{"id":"W2953731820","doi":"10.1109/tcomm.2019.2926454","title":"Energy-Efficient Power Allocation Maximization With Mixed Group Sum Power Bound and QoS Constraints","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Maximization; Mathematical optimization; Computer science; Wireless; Computational complexity theory; Power (physics); Constraint (computer-aided design); Optimization problem; Efficient energy use; Algorithm; Mathematics; Engineering; Electrical engineering","score_opus":0.008504534674429748,"score_gpt":0.20696754954490076,"score_spread":0.19846301487047102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953731820","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":[0.013629842,0.00019505291,0.9799338,0.00015551476,0.00049750437,0.000496488,0.000043661297,0.0003920322,0.0046561356],"genre_scores_gemma":[0.9886055,0.00025702454,0.010569816,0.000045107383,0.0000075746425,0.00015963429,0.000060482686,0.000067418085,0.00022743824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896175,0.00008379511,0.00032220877,0.00024833047,0.0001654899,0.00021841028],"domain_scores_gemma":[0.9983743,0.00014429443,0.00007730088,0.0011750197,0.00013746598,0.00009163029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113884926,0.00022616342,0.00018748501,0.00022318136,0.00027240012,0.00007064637,0.00027085133,0.00012034217,0.000120824254],"category_scores_gemma":[0.000002811895,0.0002356498,0.000042955973,0.0004000303,0.00018532998,0.0002682868,0.0000042175816,0.00023503871,0.000051068117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023730952,0.00020539618,0.000035795307,0.000025294732,0.000092346716,4.1634982e-7,0.0006180306,0.9869121,0.0052324133,0.0034635803,0.00006633695,0.003324563],"study_design_scores_gemma":[0.0023252312,0.0003137428,0.00056634273,0.00029156383,0.00012229302,0.00007335316,0.0014560373,0.98136187,0.007541282,0.00014317018,0.004836872,0.00096822117],"about_ca_topic_score_codex":0.000020985684,"about_ca_topic_score_gemma":0.00016476793,"teacher_disagreement_score":0.97497565,"about_ca_system_score_codex":0.00015862663,"about_ca_system_score_gemma":0.000029928533,"threshold_uncertainty_score":0.960952},"labels":[],"label_agreement":null},{"id":"W2955535680","doi":"10.4236/ijcns.2019.126007","title":"Balancing D2D Communication Relayed Traffic Offloading in Multi-Tier HetNets","year":2019,"lang":"en","type":"article","venue":"International Journal of Communications Network and System Sciences","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Canadian Institute for International Peace and Security","funders":"","keywords":"Computer science; Computer network; Relay; Macro; Quality of service; Load balancing (electrical power); Heterogeneous network; Interference (communication); Scheme (mathematics); Handover; Wireless; Telecommunications; Wireless network","score_opus":0.020302779547856874,"score_gpt":0.2778287048815806,"score_spread":0.25752592533372376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955535680","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":[0.81944966,0.03321405,0.12514502,0.0009810831,0.0037769827,0.0007612665,0.00000831612,0.00020474118,0.016458848],"genre_scores_gemma":[0.9673694,0.0013843396,0.031119915,0.00001582648,0.00005693126,0.0000066415378,0.0000044789726,0.00001133957,0.00003117823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861395,0.00017369512,0.00070623186,0.00009530496,0.00025912077,0.0001516904],"domain_scores_gemma":[0.9987619,0.0002949863,0.00031700375,0.000360044,0.000219872,0.000046199413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013094445,0.00010400837,0.0002232229,0.00026846566,0.00012579553,0.000110451016,0.0011524564,0.000057491987,0.0000052529863],"category_scores_gemma":[0.00002667033,0.00009705302,0.00004523328,0.00035266578,0.00009608706,0.00062470895,0.00011658904,0.00023074722,0.0000076167235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006558151,0.00001659199,0.009913787,0.000018220977,0.00003299344,0.0000013651016,0.00070573227,0.98342156,0.00014501874,0.0024887347,0.000078259,0.0031711701],"study_design_scores_gemma":[0.00054891227,0.000026352105,0.0019858864,0.00096633733,0.0000071982586,0.00013405582,0.0018753249,0.9932643,0.000013523715,0.000060964623,0.0009968405,0.00012031171],"about_ca_topic_score_codex":0.000012220689,"about_ca_topic_score_gemma":0.000076264594,"teacher_disagreement_score":0.14791965,"about_ca_system_score_codex":0.00019354727,"about_ca_system_score_gemma":0.000039983417,"threshold_uncertainty_score":0.39577076},"labels":[],"label_agreement":null},{"id":"W2955661319","doi":"10.1109/access.2020.3011466","title":"Resource Management and Admission Control for Tactile Internet in Next Generation of Radio Access Network","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Iran National Science Foundation; National Science Foundation","keywords":"Computer science; Transmitter power output; Computer network; Radio access network; Resource allocation; Access network; Orthogonal frequency-division multiple access; Power control; Quality of service; Transmission (telecommunications); Transmission delay; Power (physics); Orthogonal frequency-division multiplexing; Telecommunications; Base station","score_opus":0.053241310692987306,"score_gpt":0.2802789863620053,"score_spread":0.227037675669018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955661319","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":[0.036089625,0.00048797624,0.961677,0.00008790511,0.00022463746,0.00079703203,0.0000067358073,0.00008016664,0.00054892164],"genre_scores_gemma":[0.9973676,0.00005261731,0.001978073,0.00012694729,0.00029012718,0.000092339025,0.000022722514,0.000028963195,0.000040590658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993503,0.0000220669,0.00026101968,0.00016693013,0.0000636678,0.00013598324],"domain_scores_gemma":[0.9997098,0.00004073716,0.00007018415,0.00010238186,0.000019693503,0.00005722839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007606775,0.000101418664,0.00018566095,0.000051355342,0.000017658456,0.00008074299,0.000191142,0.000050723702,0.000009570656],"category_scores_gemma":[0.000015171964,0.00010592413,0.000019760357,0.0001728272,0.000007511996,0.0005859013,0.000035876914,0.000056107765,5.5161155e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055832093,0.0000058218716,0.00074084476,0.00025870866,0.000022121638,0.0000023366908,0.00012449673,0.9814225,0.0014460068,0.000064439184,0.011299973,0.004556954],"study_design_scores_gemma":[0.0010986341,0.000027437338,0.0002578795,0.00008897081,0.000017841608,8.730707e-7,0.000025875448,0.9848034,0.0068960865,0.000036430498,0.0066247564,0.00012183714],"about_ca_topic_score_codex":0.000008400642,"about_ca_topic_score_gemma":0.0000130257695,"teacher_disagreement_score":0.961278,"about_ca_system_score_codex":0.00003631543,"about_ca_system_score_gemma":0.0000035913984,"threshold_uncertainty_score":0.43194607},"labels":[],"label_agreement":null},{"id":"W2956195643","doi":"10.3390/s19143126","title":"A Survey on Recent Trends and Open Issues in Energy Efficiency of 5G","year":2019,"lang":"en","type":"review","venue":"Sensors","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Science Foundation","keywords":"Efficient energy use; Computer science; Energy consumption; Telecommunications link; Baseband; Telecommunications; Spectral efficiency; Quality of service; Base station; Software deployment; Key (lock); Cellular network; Computer network; Bandwidth (computing); Engineering; Channel (broadcasting); Computer security; Electrical engineering","score_opus":0.056365493054177235,"score_gpt":0.3354451980058635,"score_spread":0.2790797049516862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956195643","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016370948,0.9953078,0.00010357666,0.0000019245426,0.00024496697,0.00025062668,0.00006296141,0.00003244504,0.003979319],"genre_scores_gemma":[0.00014325135,0.99804825,0.00013779181,0.0000013877511,0.000019853509,0.000013723717,0.00013674883,0.00006141881,0.0014376052],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989213,0.00016526283,0.00044065007,0.00023824991,0.00008143591,0.00015313948],"domain_scores_gemma":[0.9993795,0.00013984773,0.00012367209,0.00030037845,0.000026579197,0.000030019659],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002281454,0.00023534635,0.0011209951,0.00032870442,0.000007996029,0.000016958184,0.00019526744,0.00016537374,0.000016825705],"category_scores_gemma":[0.00006316938,0.00020787962,0.000044612785,0.00054644357,0.000012833397,0.000040211286,0.000040364575,0.000112516085,0.0000092241535],"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":[0.0000025994027,0.000014255043,0.000006575423,0.002540566,0.000023166325,0.0000020914904,0.00005821449,0.12072595,2.9893096e-7,0.000043274045,0.00016708246,0.8764159],"study_design_scores_gemma":[0.00019214167,0.000049512768,0.000044785298,0.0064313593,0.00003486802,0.0000030102808,0.000006256773,0.0058173276,0.000009591702,0.0000020912905,0.98708856,0.00032047456],"about_ca_topic_score_codex":0.00038625172,"about_ca_topic_score_gemma":0.0003312819,"teacher_disagreement_score":0.9869215,"about_ca_system_score_codex":0.00010743853,"about_ca_system_score_gemma":0.000019554194,"threshold_uncertainty_score":0.84770846},"labels":[],"label_agreement":null},{"id":"W2957535055","doi":"10.1109/icc.2019.8761677","title":"Spectral Efficiency Maximization of Multiuser Massive MIMO with a Finite Dimensional Channel","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Spectral efficiency; Telecommunications link; MIMO; Channel state information; Base station; Channel (broadcasting); Maximization; Computer science; Precoding; Power (physics); Signal-to-noise ratio (imaging); Antenna (radio); Topology (electrical circuits); Mathematical optimization; Mathematics; Algorithm; Wireless; Telecommunications; Physics","score_opus":0.005084812293390355,"score_gpt":0.18498755058250155,"score_spread":0.17990273828911119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957535055","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":[0.13674656,0.0000492538,0.8574411,0.000014278605,0.00021162545,0.00040126976,0.0000073754936,0.00019209755,0.004936442],"genre_scores_gemma":[0.9761256,0.000004340954,0.022878993,0.000010342367,0.0000207951,0.000009413012,0.00002144886,0.00003208495,0.0008970003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939275,0.000008378525,0.00017894238,0.00013978049,0.00012523305,0.00015494111],"domain_scores_gemma":[0.99963665,0.000040271876,0.000048740727,0.00016039892,0.00008020338,0.000033742093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035007317,0.000117916796,0.00014904344,0.00009185002,0.000014958506,0.0000059197982,0.00005882708,0.00004845121,0.0001510262],"category_scores_gemma":[0.000011229062,0.00009613148,0.000023909513,0.00021246672,0.000015533495,0.00016289203,0.000011823251,0.000055718363,0.000059185055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015410611,0.000017322696,0.00051622913,0.000047940994,0.000013824125,0.0000011035218,0.0001609068,0.99510825,0.0037692306,0.00028776002,0.000029824798,0.00003218629],"study_design_scores_gemma":[0.0006233709,0.00006943572,0.0003857217,0.000055378485,0.0000066523544,0.0000031097886,0.00007199174,0.9861119,0.012479401,0.000031348565,0.000018649182,0.000143073],"about_ca_topic_score_codex":0.000008424556,"about_ca_topic_score_gemma":0.000008060517,"teacher_disagreement_score":0.839379,"about_ca_system_score_codex":0.00003608135,"about_ca_system_score_gemma":0.000011401499,"threshold_uncertainty_score":0.3920128},"labels":[],"label_agreement":null},{"id":"W2957620467","doi":"10.1109/iccw.2019.8757094","title":"Sum-Rate Maximization with Joint Power Allocation and Mode Selection in D2D-Enabled 5G Cellular Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Underlay; Computer science; Interference (communication); Power control; Telecommunications link; Channel (broadcasting); Cellular network; Computer network; Node (physics); User equipment; Throughput; Wireless; Mode (computer interface); Channel allocation schemes; Power (physics); Electronic engineering; Telecommunications; Signal-to-noise ratio (imaging); Base station; Engineering","score_opus":0.003525184630756997,"score_gpt":0.16762054933589401,"score_spread":0.16409536470513703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957620467","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":[0.1905677,0.000069862304,0.80629694,0.0000144234045,0.00009123724,0.00042058236,3.4072735e-7,0.00021204102,0.0023268522],"genre_scores_gemma":[0.99350804,0.000051307572,0.0057285633,0.00001776712,0.0000218489,0.000027777542,0.000033202956,0.000047311478,0.00056416506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993007,0.000030363042,0.00021670485,0.00020008945,0.0000674919,0.00018463287],"domain_scores_gemma":[0.99973226,0.0000128442125,0.000044039352,0.00010947569,0.00006492459,0.000036463643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012564224,0.00013984306,0.00015115674,0.00012749725,0.000024263925,0.000035974856,0.000030089685,0.00009846999,0.000047353395],"category_scores_gemma":[0.000005047156,0.00013145019,0.000010115929,0.00032906033,0.000007020382,0.00042871552,0.000006937737,0.00010554918,0.000013626388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015016061,0.000007694049,0.0026590477,0.000033519013,0.00000875898,5.526279e-7,0.00011248862,0.97812307,0.018611087,0.00027266107,0.000026401935,0.00012970588],"study_design_scores_gemma":[0.0005422389,0.000038592512,0.0012717381,0.000046908935,0.0000054993084,0.0000037853579,0.00006382295,0.991353,0.0064188354,0.000042518153,0.00003974811,0.00017335042],"about_ca_topic_score_codex":0.000058112735,"about_ca_topic_score_gemma":0.00017989417,"teacher_disagreement_score":0.80294037,"about_ca_system_score_codex":0.0001236155,"about_ca_system_score_gemma":0.000009488136,"threshold_uncertainty_score":0.53603834},"labels":[],"label_agreement":null},{"id":"W2958055639","doi":"10.1109/icc.2019.8761293","title":"Asymptotic BER Analysis of MMSE Receivers in Multicell MU-MIMO Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"MIMO; Upper and lower bounds; Telecommunications link; Minimum mean square error; Base station; Context (archaeology); Signal-to-noise ratio (imaging); Control theory (sociology); Interference (communication); Computer science; Mathematics; Topology (electrical circuits); Noise (video); Signal-to-interference-plus-noise ratio; Bit error rate; Algorithm; Power (physics); Telecommunications; Statistics; Physics; Estimator; Combinatorics; Decoding methods; Mathematical analysis; Beamforming","score_opus":0.004752348537047267,"score_gpt":0.19781569172224062,"score_spread":0.19306334318519336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958055639","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":[0.79085785,0.00033215727,0.17516464,0.0000052866794,0.00068689394,0.00070561253,0.000011958812,0.0002665365,0.031969093],"genre_scores_gemma":[0.99568456,0.000025457148,0.0024999452,0.0000029808298,0.000008765917,0.0000088329625,0.00001554403,0.000022291148,0.001731596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992158,0.000025585005,0.00035198536,0.00015015103,0.00010093882,0.00015553257],"domain_scores_gemma":[0.99950933,0.000075208576,0.000055350767,0.0002776051,0.000047329035,0.00003520023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011674607,0.000109320565,0.000352596,0.0004667141,0.000005630915,0.000009182342,0.000088230634,0.00007473091,0.0001407136],"category_scores_gemma":[0.000017101183,0.00010899539,0.00006400349,0.0009812479,0.000008013727,0.00015595542,0.000011779978,0.00006348018,0.000122036145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027455972,0.000010546238,0.01578584,0.00011020304,0.00017735006,8.7957426e-7,0.00017649005,0.98033273,0.0031496738,0.00016759193,0.000015908206,0.000070067625],"study_design_scores_gemma":[0.00025470418,0.000009124369,0.0021108107,0.0000428712,0.00011308735,2.623449e-7,0.00032891368,0.99626154,0.00064964534,0.0000017847858,0.0000992745,0.0001279755],"about_ca_topic_score_codex":0.00021012119,"about_ca_topic_score_gemma":0.00020115329,"teacher_disagreement_score":0.20482677,"about_ca_system_score_codex":0.000114360686,"about_ca_system_score_gemma":0.0000052873656,"threshold_uncertainty_score":0.4444703},"labels":[],"label_agreement":null},{"id":"W2962700135","doi":"10.1109/tit.2019.2930568","title":"Generalized Compression Strategy for the Downlink Cloud Radio Access Network","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Computer network; Radio access network; Relay; Broadcasting (networking); Transmission (telecommunications); Data compression; Base station; Telecommunications; Power (physics); Algorithm; Mobile station","score_opus":0.014178961278244152,"score_gpt":0.24907458270117538,"score_spread":0.23489562142293124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962700135","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":[0.00086225674,0.00009750781,0.9924559,0.000029213077,0.0026361805,0.0011518517,0.00005511044,0.00038579665,0.0023261707],"genre_scores_gemma":[0.9965346,0.00013604962,0.002012762,0.0002216733,0.00020851115,0.00033888107,0.00006783961,0.000036808753,0.00044290087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911815,0.000051306026,0.0003975693,0.00008664778,0.00012427756,0.00022205041],"domain_scores_gemma":[0.9991309,0.00032898167,0.00009591107,0.00032763628,0.000072487564,0.00004410167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031737957,0.00016836215,0.00015943157,0.00009176566,0.00023235973,0.00011891617,0.00024665918,0.00011112011,0.00020622999],"category_scores_gemma":[0.000003058281,0.0001294452,0.00009614975,0.00021115116,0.000023817285,0.0014510053,0.0000011797921,0.00018744334,0.00014346562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010428297,0.000006172527,7.7877365e-7,0.000065704495,0.000046969893,2.7562837e-8,0.00020047203,0.97135,0.00006725404,0.0043591605,0.0015499281,0.022249233],"study_design_scores_gemma":[0.0012846022,0.00004812102,0.00001192446,0.00006477253,0.000039474362,0.0000046816713,0.0002390328,0.974855,0.0045544626,0.0017951203,0.016855784,0.00024701486],"about_ca_topic_score_codex":0.0000027775325,"about_ca_topic_score_gemma":0.0000022676454,"teacher_disagreement_score":0.99567235,"about_ca_system_score_codex":0.00008264718,"about_ca_system_score_gemma":0.000018557861,"threshold_uncertainty_score":0.5278622},"labels":[],"label_agreement":null},{"id":"W2962732261","doi":"10.1109/tsp.2017.2699643","title":"Near-Optimal Hybrid Processing for Massive MIMO Systems via Matrix Decomposition","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Baseband; MIMO; Matrix decomposition; QR decomposition; Singular value decomposition; Computer science; Orthogonal matrix; Radio frequency; Mathematical optimization; Control theory (sociology); Algorithm; Mathematics; Telecommunications; Eigenvalues and eigenvectors; Beamforming","score_opus":0.013848562104375572,"score_gpt":0.2775742511481185,"score_spread":0.26372568904374294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962732261","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":[0.0070609637,0.00049638894,0.9900364,0.00004128786,0.00064013764,0.0008218995,0.000044005683,0.000609254,0.00024965237],"genre_scores_gemma":[0.96368796,0.000011349893,0.035401274,0.000010911016,0.00021465594,0.00034432893,0.000012883744,0.0001376247,0.00017903603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836856,0.000025536654,0.0004989712,0.00041004666,0.00023749843,0.00045938342],"domain_scores_gemma":[0.9989517,0.00005409501,0.0002810646,0.00031430222,0.00026612476,0.0001327644],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00017488592,0.00035485745,0.0003575764,0.00015681893,0.001921673,0.0009166281,0.0002848431,0.00014530828,0.000011489583],"category_scores_gemma":[0.0000044084845,0.00038638536,0.00012247922,0.0001131803,0.00009815016,0.0015575482,0.0000016938909,0.00028639485,0.000021556132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073572344,0.00004044102,0.0000030930366,0.00076721946,0.00003186931,0.000006314141,0.00017184435,0.9144832,0.015453725,0.0000030276922,0.000030207797,0.06893551],"study_design_scores_gemma":[0.0007336486,0.0000816952,0.000005166417,0.00062826014,0.00008596026,0.000059648748,0.00010243693,0.9464952,0.051186476,0.00004099057,0.00016874721,0.00041182226],"about_ca_topic_score_codex":0.000012103618,"about_ca_topic_score_gemma":0.0000036038032,"teacher_disagreement_score":0.95662695,"about_ca_system_score_codex":0.00025213498,"about_ca_system_score_gemma":0.00008195152,"threshold_uncertainty_score":0.9998588},"labels":[],"label_agreement":null},{"id":"W2962800402","doi":"10.1109/iccchina.2013.6671177","title":"Uplink interference analysis for two-tier cellular networks with diverse users under random spatial patterns","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Stochastic geometry; Telecommunications link; Base station; Interference (communication); Point process; Cellular network; Poisson point process; Heterogeneous network; Computer network; Process (computing); Distributed computing; Telecommunications; Wireless network; Channel (broadcasting); Wireless; Mathematics","score_opus":0.009392345748385546,"score_gpt":0.2032752000443535,"score_spread":0.19388285429596797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962800402","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":[0.02895005,0.000027691713,0.9698139,0.00001257766,0.00018068739,0.0005748328,0.0000046358496,0.00020645515,0.00022919948],"genre_scores_gemma":[0.9852649,0.000007631477,0.01398401,0.000029851815,0.00009032454,0.00013470165,0.00007816943,0.000038580918,0.0003718064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992565,0.000014154105,0.00021321347,0.00020284684,0.000068106594,0.00024516715],"domain_scores_gemma":[0.9994932,0.00005760854,0.000039070426,0.00023993675,0.000094791045,0.00007543565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005244508,0.00017597569,0.00026220686,0.00011526722,0.00004514718,0.00005639229,0.000111505644,0.00006453188,0.0004160063],"category_scores_gemma":[0.0000043292334,0.0001410588,0.000087330634,0.00020684196,0.000016780172,0.0002524635,0.000023047016,0.000081754384,0.000018966995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024414629,0.0000058025416,0.0068955077,0.00001550819,0.00035016792,5.422819e-7,0.00007745626,0.99174774,0.00016446499,0.000027544571,0.00006680451,0.00062407803],"study_design_scores_gemma":[0.0016044278,0.000027495853,0.00044549475,0.000017083863,0.00020923476,4.15379e-7,0.00018169687,0.9966393,0.00064332463,0.000013304997,0.000010103032,0.00020812669],"about_ca_topic_score_codex":0.00065866625,"about_ca_topic_score_gemma":0.0009609053,"teacher_disagreement_score":0.95631486,"about_ca_system_score_codex":0.000060410883,"about_ca_system_score_gemma":0.000004523938,"threshold_uncertainty_score":0.5752211},"labels":[],"label_agreement":null},{"id":"W2962817604","doi":"10.1109/icc.2018.8422129","title":"Joint CSI Estimation, Beamforming and Scheduling Design for Wideband Massive MIMO System","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Western University; Université du Québec à Montréal","funders":"","keywords":"Beamforming; Computer science; MIMO; Channel state information; Scheduling (production processes); Telecommunications link; Orthogonal frequency-division multiplexing; Wideband; WSDMA; Precoding; Multiplexing; Channel (broadcasting); Electronic engineering; Computer network; Wireless; Telecommunications; Mathematical optimization; Engineering; Mathematics","score_opus":0.025536391831796457,"score_gpt":0.24257583698853052,"score_spread":0.21703944515673407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962817604","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":[0.0013064146,0.00061013055,0.9931086,0.000022527494,0.0011343821,0.0021248215,0.000025576715,0.00092805503,0.00073951297],"genre_scores_gemma":[0.23114748,0.00003258829,0.7678017,0.0000066337498,0.00025458515,0.000443212,0.00007280901,0.00011397538,0.00012700495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99839765,0.000028841992,0.0006608249,0.0004571998,0.00013047588,0.00032501432],"domain_scores_gemma":[0.99885345,0.00014359796,0.00022187585,0.00039062946,0.00028181664,0.00010862831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039314086,0.0004085924,0.00053138466,0.00020344119,0.00014523725,0.00015124353,0.00013566825,0.0003728298,0.0000067033766],"category_scores_gemma":[0.00017460887,0.00041213777,0.000077765835,0.00008220414,0.000036478512,0.00026196317,0.00013390159,0.0002116542,0.00001119875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076475935,0.0000029607982,0.000006120719,0.0028946917,0.00008359468,0.0000010708343,0.00030512863,0.9947552,0.0005764002,0.00044339098,0.00026933322,0.0006544572],"study_design_scores_gemma":[0.00035043366,0.000027688367,0.000002196848,0.0015310656,0.0000743073,0.00001622152,0.0003097249,0.98626274,0.010081366,0.0008449925,0.000061760555,0.00043752728],"about_ca_topic_score_codex":0.000013437852,"about_ca_topic_score_gemma":0.000004053487,"teacher_disagreement_score":0.22984107,"about_ca_system_score_codex":0.00035718232,"about_ca_system_score_gemma":0.000054942946,"threshold_uncertainty_score":0.99983305},"labels":[],"label_agreement":null},{"id":"W2962828372","doi":"10.1109/tcomm.2018.2867458","title":"Stochastic Modeling and Analysis of User-Centric Network MIMO Systems","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Telecommunications link; MIMO; Base station; Computer science; Backhaul (telecommunications); Beamforming; Cluster analysis; Cellular network; Computer network; Channel state information; Duplex (building); Stochastic geometry; Distributed computing; Channel (broadcasting); Telecommunications; Mathematics; Wireless","score_opus":0.023848315059189884,"score_gpt":0.25475568532545223,"score_spread":0.23090737026626235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962828372","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":[0.0035727909,0.00079195877,0.9944578,0.000018432682,0.00027434283,0.00024151403,0.000050274797,0.00019339767,0.00039951236],"genre_scores_gemma":[0.9888657,0.00044226382,0.010497277,0.000005159981,0.000026056383,0.00006746694,0.000015862403,0.000028119443,0.000052095493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991878,0.00006300189,0.0003706706,0.0001284208,0.000089379304,0.00016072018],"domain_scores_gemma":[0.9985179,0.00017451028,0.00005995456,0.0010355598,0.00015300466,0.000059113314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119705925,0.00012343121,0.0002532657,0.00037578173,0.00025237925,0.000022976103,0.0002645558,0.00007239012,0.000010800417],"category_scores_gemma":[0.0000045749352,0.00013950001,0.000068975125,0.0014216971,0.00008605719,0.0001364628,0.000003138906,0.00015012332,0.000008180936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037516384,0.000029752413,0.000008571443,0.000015169581,0.00036741977,3.547317e-8,0.00020990625,0.9983722,0.00012736839,0.00028454422,0.000015066799,0.0005662074],"study_design_scores_gemma":[0.0001332891,0.000020789008,0.000017121638,0.000055093777,0.000524354,0.0000015949661,0.00010920153,0.9989026,0.00004129602,0.00002257602,0.000057533874,0.00011454112],"about_ca_topic_score_codex":0.00006214414,"about_ca_topic_score_gemma":0.00021316497,"teacher_disagreement_score":0.9852929,"about_ca_system_score_codex":0.00006556074,"about_ca_system_score_gemma":0.0000120035975,"threshold_uncertainty_score":0.5688645},"labels":[],"label_agreement":null},{"id":"W2962913615","doi":"10.1109/tvt.2019.2930588","title":"Two-Tier Architecture for Spectrum Auction in SDN-Enabled Cloud Radio Access Network","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Cloud computing; Radio access network; Spectrum auction; Quality of service; Auction theory; Base station; Bidding; Business; Operating system","score_opus":0.005631233352042576,"score_gpt":0.22266668710818827,"score_spread":0.2170354537561457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962913615","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034988597,0.00021777324,0.9600206,0.00035885064,0.001874018,0.001273881,0.0000116123665,0.0010563658,0.00019830439],"genre_scores_gemma":[0.99074376,0.00005078716,0.008291028,0.000035438283,0.00015313101,0.00040323392,0.000012324822,0.00009812729,0.000212182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865454,0.000029843852,0.00033969496,0.0003803399,0.00009819961,0.0004973956],"domain_scores_gemma":[0.9993248,0.00005056791,0.000057648787,0.0004940037,0.000031600153,0.00004139928],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012688372,0.00026060158,0.00035398832,0.000632029,0.00008815153,0.000026551834,0.00027730517,0.0004108117,0.000042415773],"category_scores_gemma":[0.000004162713,0.0002839542,0.00010645911,0.0010548875,0.000042564774,0.00019659892,0.000002266863,0.00059589505,0.000040228933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004392987,0.000031676846,0.000045801826,0.00006737951,0.00005498805,0.0000041367916,0.00003088906,0.9921616,0.0028431476,0.00037371775,0.000095926334,0.0042468575],"study_design_scores_gemma":[0.004520958,0.0003370598,0.00004163076,0.00027533955,0.00009029426,0.0001344528,0.00012975564,0.842349,0.1261809,0.009719016,0.015244753,0.0009768428],"about_ca_topic_score_codex":0.0000121508365,"about_ca_topic_score_gemma":0.0001980291,"teacher_disagreement_score":0.9557552,"about_ca_system_score_codex":0.00026857303,"about_ca_system_score_gemma":0.000019737481,"threshold_uncertainty_score":0.99996126},"labels":[],"label_agreement":null},{"id":"W2962991496","doi":"10.1109/tcomm.2017.2732444","title":"Unified Stochastic Geometry Modeling and Analysis of Cellular Networks in LOS/NLOS and Shadowed Fading","year":2017,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; University of Toronto","funders":"","keywords":"Rician fading; Fading; Computer science; Stochastic geometry; Weibull fading; Rayleigh fading; Fading distribution; Moment-generating function; Nakagami distribution; Channel (broadcasting); Cumulative distribution function; Non-line-of-sight propagation; Channel state information; Algorithm; Electronic engineering; Wireless; Topology (electrical circuits); Probability density function; Telecommunications; Mathematics; Statistics; Engineering","score_opus":0.02837614367257191,"score_gpt":0.2637484674678252,"score_spread":0.2353723237952533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962991496","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":[0.021360867,0.00056274637,0.9774808,0.00003205399,0.000060097784,0.00018365956,0.000030015946,0.00005974669,0.00023000226],"genre_scores_gemma":[0.99395096,0.0006160963,0.005336419,0.0000025525953,0.0000041464523,0.000037711594,0.000014192882,0.000021586691,0.000016301612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993421,0.00003677946,0.0003017102,0.00013471663,0.00005921226,0.00012547102],"domain_scores_gemma":[0.9985093,0.00015282325,0.000074839336,0.0011675208,0.00004692309,0.000048577647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014219583,0.00011567367,0.00025103972,0.00053783576,0.0003612516,0.000042281532,0.00029607108,0.00008624607,0.000004697542],"category_scores_gemma":[0.000011232727,0.00013924109,0.00004534773,0.00041412454,0.00008772798,0.00023087345,0.000007058486,0.00024601707,4.2390045e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004044388,0.00002599923,0.00005322218,0.000014350336,0.00015038937,1.70378e-7,0.00019689629,0.9967972,0.00084481365,0.00017391791,3.3346643e-7,0.0017386654],"study_design_scores_gemma":[0.00023499531,0.000007681036,0.00023750136,0.00007168755,0.00024185282,6.854867e-7,0.00014074048,0.99870896,0.00018434225,0.00005677327,9.263485e-7,0.00011382115],"about_ca_topic_score_codex":0.00011186694,"about_ca_topic_score_gemma":0.00077548553,"teacher_disagreement_score":0.97259015,"about_ca_system_score_codex":0.000048329075,"about_ca_system_score_gemma":0.000006440378,"threshold_uncertainty_score":0.5678087},"labels":[],"label_agreement":null},{"id":"W2963023977","doi":"10.1109/jstsp.2014.2327594","title":"Large-Scale MIMO Versus Network MIMO for Multicell Interference Mitigation","year":2014,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Telecommunications link; Beamforming; Multi-user MIMO; Computer science; Duplex (building); Channel state information; Computer network; 3G MIMO; Base station; Fading; Electronic engineering; Channel (broadcasting); Engineering; Wireless; Telecommunications","score_opus":0.013127537160145074,"score_gpt":0.2513719039928044,"score_spread":0.23824436683265932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963023977","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":[0.064724,0.00049729267,0.9334976,0.000024421699,0.0007883948,0.00014709523,0.0000013590198,0.00004915545,0.00027069834],"genre_scores_gemma":[0.9325761,0.000023416505,0.066099666,0.000016709622,0.0012037907,0.000007458734,0.0000035933606,0.000033347686,0.000035897334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987883,0.000046392295,0.0005967533,0.000123379,0.00013775511,0.0003073993],"domain_scores_gemma":[0.99897325,0.00016192863,0.00026985048,0.00007067273,0.0004589597,0.00006532801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036102434,0.0001506693,0.00026669976,0.00013231595,0.00007359621,0.000057163932,0.00016138409,0.00012259601,0.0000053326994],"category_scores_gemma":[0.00009923224,0.00015423798,0.000046637273,0.00037122256,0.000017754664,0.00040958935,0.000007409858,0.00032335235,0.0000011503631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001349497,0.000026767517,0.00033563888,0.0002460572,0.000019609799,0.00000176622,0.0006699582,0.97399604,0.011212414,0.000027293323,0.00015994009,0.01316959],"study_design_scores_gemma":[0.0019580899,0.00018894344,0.000105679195,0.00063075684,0.00003158816,0.0000097188595,0.00011367028,0.9806357,0.014583592,0.00055993843,0.0009828708,0.00019944175],"about_ca_topic_score_codex":6.8708744e-7,"about_ca_topic_score_gemma":0.00003161689,"teacher_disagreement_score":0.86785215,"about_ca_system_score_codex":0.00014825282,"about_ca_system_score_gemma":0.000052860007,"threshold_uncertainty_score":0.62896425},"labels":[],"label_agreement":null},{"id":"W2963050357","doi":"10.1109/tvt.2019.2930884","title":"A Benchmark for Joint Channel Allocation and User Scheduling in Flexible Heterogeneous Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scheduling (production processes); Computer science; Joint (building); Benchmark (surveying); Computer network; Channel (broadcasting); Distributed computing; Channel allocation schemes; Engineering; Telecommunications; Wireless","score_opus":0.00816864955295501,"score_gpt":0.2089892724235346,"score_spread":0.20082062287057958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963050357","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14663678,0.00036528558,0.85144186,0.00008338511,0.0003397205,0.0006873171,0.0000037767804,0.00042529983,0.000016555838],"genre_scores_gemma":[0.98643345,0.00015247018,0.012940025,0.000021672427,0.000015511247,0.00033414713,0.000006559821,0.000048318834,0.00004785227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991846,0.000010846842,0.00024341786,0.0002567972,0.000049966227,0.00025436695],"domain_scores_gemma":[0.99962384,0.000024295465,0.000033411594,0.00024752083,0.000041416264,0.000029491073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085419626,0.00015858127,0.00021268439,0.00043884965,0.000051207346,0.000012563074,0.00007360257,0.00032044982,0.0000069576827],"category_scores_gemma":[0.0000035401322,0.00018200238,0.000043978598,0.00035937235,0.0000264915,0.00011075131,0.0000012341181,0.00023660583,0.000009052132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010362445,0.00002138107,0.000017649409,0.00005517781,0.000026172353,0.0000014260867,0.0000267122,0.9872886,0.008934249,0.00010331972,0.0000022190388,0.0035127415],"study_design_scores_gemma":[0.0005779295,0.000085513195,0.0000074145178,0.00008391782,0.00001260733,0.000026454738,0.000056192494,0.93929327,0.05937464,0.00018171119,0.00012776192,0.0001726098],"about_ca_topic_score_codex":0.000004972197,"about_ca_topic_score_gemma":0.000036309397,"teacher_disagreement_score":0.83979666,"about_ca_system_score_codex":0.000103569386,"about_ca_system_score_gemma":0.000007400054,"threshold_uncertainty_score":0.74218416},"labels":[],"label_agreement":null},{"id":"W2963160721","doi":"10.1109/tcomm.2018.2859981","title":"Enhancing Cellular Performance Through Device-to-Device Distributed MIMO","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Science and Industry Endowment Fund","keywords":"Cellular network; Telecommunications link; Computer science; Computer network; MIMO; Spectral efficiency; Resource allocation; Cellular communication; Shared resource; Base station; Channel (broadcasting)","score_opus":0.027186157513654025,"score_gpt":0.2664900598111716,"score_spread":0.23930390229751755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963160721","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":[0.009227241,0.0001575296,0.9842227,0.0002717053,0.00052736024,0.00043665315,0.00008547804,0.0007494761,0.0043218276],"genre_scores_gemma":[0.9438919,0.0003801076,0.05498869,0.00013210834,0.00006609822,0.00022007019,0.000047121852,0.000066384295,0.00020752111],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988499,0.00006453808,0.00042039182,0.00021835149,0.00013794443,0.00030883492],"domain_scores_gemma":[0.99768746,0.0001420055,0.000053736898,0.0018000286,0.00021179931,0.000104957086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011959328,0.00022486408,0.0001992176,0.0001316015,0.00067281607,0.000043735046,0.0006828206,0.000108295586,0.00007956891],"category_scores_gemma":[0.000008399802,0.00026159917,0.000067012115,0.0008651326,0.00010089794,0.00044654025,0.0000067163824,0.00033444422,0.0006024379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019380246,0.00018942085,0.000015945354,0.00011071379,0.000117892894,5.857272e-7,0.0023691047,0.9266463,0.06333237,0.00019096545,0.00048132375,0.006525984],"study_design_scores_gemma":[0.0005288019,0.00016588948,0.00007328901,0.00036481634,0.00009835889,0.000010567205,0.00050775474,0.35046318,0.57452774,0.00006246524,0.07248302,0.00071414746],"about_ca_topic_score_codex":0.000028215756,"about_ca_topic_score_gemma":0.00042472,"teacher_disagreement_score":0.93466467,"about_ca_system_score_codex":0.00022255002,"about_ca_system_score_gemma":0.00002974006,"threshold_uncertainty_score":0.9999836},"labels":[],"label_agreement":null},{"id":"W2963331965","doi":"10.22215/etd/2018-13339","title":"Dynamic Coordination Architecture and Mobility Management for Next Generation Cooperative Cellular Networks","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Cellular network; Computer science; Heterogeneous network; Computer network; Distributed computing; Wireless network; Mobility management; Wireless; Telecommunications","score_opus":0.008335462607600257,"score_gpt":0.23091199517113445,"score_spread":0.22257653256353419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963331965","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":[0.013179625,0.00089207245,0.98009825,0.000007360146,0.0011352905,0.002228335,0.000020199863,0.00025823858,0.0021806604],"genre_scores_gemma":[0.85259604,0.00046817993,0.10823637,0.000026229103,0.00048574808,0.0014597842,0.018464824,0.00023124143,0.018031592],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893916,0.000024697645,0.0003416693,0.00039529047,0.00009584906,0.00020336571],"domain_scores_gemma":[0.9994059,0.000026605514,0.00008843681,0.00022339387,0.0002087571,0.000046895693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012795615,0.00032093076,0.00026786266,0.00013602001,0.00013544897,0.000095765616,0.00007948233,0.0003033836,0.000029451468],"category_scores_gemma":[0.000013044836,0.0003272113,0.000048303173,0.0001431721,0.000018554738,0.0001889413,0.000010542897,0.000140014,0.0000034825973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030208801,0.000017370716,0.000001093826,0.0007409247,0.00011509319,6.2252417e-7,0.00039817858,0.97109205,0.005583521,0.0005552869,0.0011096394,0.020356027],"study_design_scores_gemma":[0.00034225563,0.00005203066,0.000020313146,0.00007731902,0.00007506289,7.7093176e-7,0.00034503674,0.99577755,0.0019731894,0.00014798324,0.00085822155,0.00033028077],"about_ca_topic_score_codex":0.0000039267006,"about_ca_topic_score_gemma":0.00043948495,"teacher_disagreement_score":0.8718619,"about_ca_system_score_codex":0.00016490149,"about_ca_system_score_gemma":0.000008747577,"threshold_uncertainty_score":0.999918},"labels":[],"label_agreement":null},{"id":"W2963477078","doi":"10.1109/isit.2016.7541570","title":"An uplink-downlink duality for cloud radio access network","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Duality (order theory); Relay; Computer science; Computer network; Radio access network; Electronic engineering; Mathematics; Power (physics); Engineering; Base station; Discrete mathematics; Physics","score_opus":0.020668568218288295,"score_gpt":0.28665118605116496,"score_spread":0.2659826178328767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963477078","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":[0.0016401161,0.00007963592,0.99390876,0.000085747466,0.00083213876,0.0003861074,0.000011987565,0.00075917295,0.0022963441],"genre_scores_gemma":[0.9126102,0.00005035615,0.083745636,0.00009159695,0.0021227323,0.00013113492,0.00004575272,0.000091317386,0.0011112856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925065,0.000016389524,0.00023457814,0.00017921464,0.000050709983,0.0002684801],"domain_scores_gemma":[0.9994068,0.000101950056,0.000032230622,0.00032734656,0.000047322297,0.00008433147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019239893,0.00012321693,0.0001553432,0.000023543427,0.000050936294,0.0000352781,0.00019385577,0.00008669373,0.00007312453],"category_scores_gemma":[0.000024196142,0.00008855277,0.00003938834,0.00010080467,0.000013764997,0.00050416257,0.000018075327,0.000035646077,0.000021314463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018447578,0.000013634589,0.0010332154,0.00006519725,0.000031933923,5.938595e-7,0.000037215716,0.9523084,0.0012018533,0.0071979826,0.019974088,0.01811743],"study_design_scores_gemma":[0.0029367886,0.00013503758,0.0010983415,0.0001720612,0.000046416895,0.000010660645,0.00004228968,0.89145684,0.01417632,0.0114873275,0.077222124,0.0012158095],"about_ca_topic_score_codex":0.0000029150121,"about_ca_topic_score_gemma":0.000014929692,"teacher_disagreement_score":0.9109701,"about_ca_system_score_codex":0.00007160917,"about_ca_system_score_gemma":0.000008225995,"threshold_uncertainty_score":0.3611077},"labels":[],"label_agreement":null},{"id":"W2963624992","doi":"10.1109/tcomm.2018.2831222","title":"Framework of Channel Estimation for Hybrid Analog-and-Digital Processing Enabled Massive MIMO Communications","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Precoding; Channel (broadcasting); MIMO; Computer science; Channel state information; Spatial correlation; Electronic engineering; Radio frequency; Algorithm; Telecommunications; Engineering; Wireless","score_opus":0.028499908156040817,"score_gpt":0.28784022768397516,"score_spread":0.25934031952793435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963624992","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":[0.00045559264,0.00046252084,0.99594206,0.0004600064,0.00015145076,0.00068774895,0.00026109148,0.00031689837,0.0012626147],"genre_scores_gemma":[0.81476855,0.00038002979,0.18424372,0.000020813488,0.000022006938,0.0003840202,0.000073747055,0.000048438225,0.000058648966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990033,0.000045980814,0.0004758546,0.00017536311,0.00009889944,0.00020062445],"domain_scores_gemma":[0.9971563,0.0005050248,0.0001495472,0.0017423781,0.00037352668,0.000073215684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012850715,0.00018730649,0.00023868533,0.00024909963,0.00061443954,0.000067762805,0.00065316074,0.00010625631,0.000008174631],"category_scores_gemma":[0.000047681282,0.00021642496,0.00007689146,0.00042825655,0.00039060065,0.00054367696,0.00001075609,0.0002628223,0.000013152608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006863165,0.0005687273,0.0000113823635,0.00042702182,0.00029712962,2.1374724e-7,0.0042174663,0.8439401,0.0025872376,0.005077069,0.00031597572,0.14248906],"study_design_scores_gemma":[0.00033239304,0.00009248981,0.000010020176,0.00026558037,0.00007447468,0.0000064314877,0.00034365014,0.98661906,0.0071465694,0.004238705,0.0006518047,0.0002188392],"about_ca_topic_score_codex":0.000009037121,"about_ca_topic_score_gemma":0.000041655097,"teacher_disagreement_score":0.814313,"about_ca_system_score_codex":0.00009508516,"about_ca_system_score_gemma":0.00004298649,"threshold_uncertainty_score":0.88255537},"labels":[],"label_agreement":null},{"id":"W2963641440","doi":"10.1109/glocom.2018.8647453","title":"Spatial Deep Learning for Wireless Scheduling","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scheduling (production processes); Wireless network; Distributed computing; Deep learning; Job shop scheduling; Artificial neural network; Wireless; Schedule; Dynamic priority scheduling; Wireless sensor network; Reuse; Artificial intelligence; Computer network; Mathematical optimization; Quality of service; Telecommunications; Engineering","score_opus":0.008741428967405568,"score_gpt":0.2302768967258364,"score_spread":0.22153546775843083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963641440","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":[0.014302877,0.00003412967,0.97988015,0.000005446248,0.00037185833,0.00014595318,2.800468e-7,0.00050108763,0.0047582346],"genre_scores_gemma":[0.90207154,0.0000043388177,0.097150154,0.000007630322,0.00041443747,0.000022230572,0.000006085868,0.000033458793,0.00029015707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996094,0.000004816627,0.000112291724,0.00008991576,0.00003620554,0.00014733012],"domain_scores_gemma":[0.99979377,0.000027923017,0.000015753918,0.0000715712,0.000062480794,0.00002848375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005332726,0.000069662645,0.000077929086,0.000033792374,0.00006827911,0.000015790389,0.000045166627,0.000044922348,0.000050483206],"category_scores_gemma":[0.00003138351,0.0000720778,0.000020101608,0.000059657566,0.000012676741,0.00010202045,0.000008481553,0.000048571328,0.000050333907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048126026,0.0000022867964,0.00022290197,0.000037670336,0.000010937378,1.6960063e-7,0.00018507692,0.9546906,0.007531532,0.0005942781,0.000026286967,0.036693446],"study_design_scores_gemma":[0.0001882404,0.000026802132,0.000020022215,0.000012720813,0.0000033169808,0.0000011137375,0.00007917034,0.9832242,0.01497644,0.00005146679,0.0013197148,0.00009677009],"about_ca_topic_score_codex":0.000008410066,"about_ca_topic_score_gemma":0.000058960955,"teacher_disagreement_score":0.8877686,"about_ca_system_score_codex":0.000030364736,"about_ca_system_score_gemma":0.0000029465964,"threshold_uncertainty_score":0.29392472},"labels":[],"label_agreement":null},{"id":"W2963965971","doi":"","title":"Uplink Multi-Cell Processing: Approximate Sum Capacity under a Sum Backhaul Constraint","year":2013,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Decodes; Backhaul (telecommunications); Telecommunications link; Quantization (signal processing); Decoding methods; Vector quantization; Computer science; Mathematics; Algorithm; Base station; Mathematical optimization; Telecommunications","score_opus":0.05097625272858621,"score_gpt":0.1691213472499056,"score_spread":0.11814509452131938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963965971","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":[0.17455329,0.000056838315,0.8210671,0.000010804391,0.00014315157,0.00040397752,0.0000065634385,0.0005294196,0.0032288253],"genre_scores_gemma":[0.99006027,0.000030403762,0.008383285,0.000025381294,0.0000318891,0.0000036050592,0.000013723293,0.000053845022,0.0013975928],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989034,0.000029955358,0.00020443475,0.00040430925,0.0000431316,0.00041476975],"domain_scores_gemma":[0.9992322,0.000028843317,0.000072850926,0.00033622282,0.00015261016,0.00017727731],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000078264115,0.00026373516,0.00023357793,0.000130386,0.0001179206,0.000055876444,0.00023793474,0.00016732657,0.00011545461],"category_scores_gemma":[0.000011052492,0.0003040283,0.00007276987,0.00040454758,0.0001331769,0.0006690244,0.000052933872,0.00023114466,0.0002934029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004186939,0.000067420195,0.00073167117,0.00017583107,0.0000237332,0.000013650942,0.00015075227,0.99324745,0.0032264884,0.0020399531,0.0001266352,0.00019224029],"study_design_scores_gemma":[0.00092716096,0.000014572155,0.00016636116,0.000041212614,0.000026318105,0.0000075018575,0.0005452328,0.99556834,0.0017320892,0.0005371751,0.00006463438,0.00036942223],"about_ca_topic_score_codex":0.000073059244,"about_ca_topic_score_gemma":0.000032536824,"teacher_disagreement_score":0.815507,"about_ca_system_score_codex":0.00022277365,"about_ca_system_score_gemma":0.000032897402,"threshold_uncertainty_score":0.9999412},"labels":[],"label_agreement":null},{"id":"W2963976549","doi":"10.1109/tcomm.2018.2842758","title":"Hybrid Data-Sharing and Compression Strategy for Downlink Cloud Radio Access Network","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Backhaul (telecommunications); Cloud computing; Computer network; Telecommunications link; Computer science; Radio access network; Data transmission; C-RAN; Base station","score_opus":0.10985973648751568,"score_gpt":0.34576621648552647,"score_spread":0.2359064799980108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963976549","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":[0.000533613,0.0005186169,0.99570686,0.0001265518,0.00055697217,0.00056351104,0.0002461475,0.00042472515,0.0013230249],"genre_scores_gemma":[0.96562845,0.0008796643,0.032640036,0.000032953438,0.00023136899,0.0001833082,0.00024538764,0.000058251026,0.00010055891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990562,0.000043358858,0.0003199811,0.0002813638,0.00007018135,0.00022892412],"domain_scores_gemma":[0.9970359,0.0002191784,0.00005994289,0.0025163025,0.000087012944,0.00008164474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001942418,0.00016456151,0.00017876762,0.00008474676,0.0006878254,0.00012239997,0.0013811105,0.00006884505,0.000021440082],"category_scores_gemma":[0.0000055346723,0.000180644,0.000033078057,0.00019147301,0.00012790065,0.00062015036,0.000027487918,0.0002425848,0.000012470835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018700935,0.00005052878,0.000010992916,0.000044691256,0.00006835697,1.4758074e-7,0.00007967122,0.97865295,0.00030524263,0.00039046106,0.0034719727,0.016906267],"study_design_scores_gemma":[0.0004209246,0.000042737563,0.000017173938,0.000108026674,0.000053632713,0.000009607069,0.000033081513,0.98466796,0.0015933528,0.00072159246,0.012121829,0.00021006289],"about_ca_topic_score_codex":0.00001985234,"about_ca_topic_score_gemma":0.00017053516,"teacher_disagreement_score":0.96509486,"about_ca_system_score_codex":0.00005848087,"about_ca_system_score_gemma":0.000017654702,"threshold_uncertainty_score":0.7366448},"labels":[],"label_agreement":null},{"id":"W2963996746","doi":"","title":"Infrastructure sharing for mobile network operators:analysis of trade-offs and market","year":2018,"lang":"en","type":"article","venue":"University of Oulu Repository (University of Oulu)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Base station; Computer network; Quality of service; Cellular network; Transmitter power output; Mobile network operator; Telecommunications","score_opus":0.0037593832301912548,"score_gpt":0.16899481704505145,"score_spread":0.1652354338148602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963996746","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":[0.82059586,0.00021038423,0.17227536,0.000010094107,0.00023267214,0.00038385004,0.00007903234,0.00009384686,0.0061189197],"genre_scores_gemma":[0.9809919,0.000048203477,0.017891074,0.0000014881703,0.00004243584,6.288017e-8,0.000016784612,0.000013990252,0.000994066],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926084,0.000029073493,0.00015862852,0.00025445217,0.00012235514,0.00017462877],"domain_scores_gemma":[0.99919945,0.00005324353,0.00019831512,0.0003005909,0.00016513064,0.000083248015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114725386,0.00014295163,0.00045911022,0.00025073605,0.00022876528,0.00000615902,0.00029997315,0.0001631716,0.00007372573],"category_scores_gemma":[0.000006098993,0.00020570897,0.00017037778,0.00054235786,0.00025673409,0.000332165,0.000114074566,0.000087133034,3.3056594e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047459506,0.00007173029,0.06293977,0.0008098269,0.0036045809,0.00003943524,0.010500921,0.89759487,0.015262473,0.00048708334,0.005972793,0.002241952],"study_design_scores_gemma":[0.0026337514,0.000526941,0.07866754,0.0002911645,0.0035270273,0.000021766113,0.02150741,0.8796002,0.0033562125,0.00007046815,0.009020842,0.0007766498],"about_ca_topic_score_codex":0.00014816098,"about_ca_topic_score_gemma":0.000096892574,"teacher_disagreement_score":0.16039605,"about_ca_system_score_codex":0.00010506348,"about_ca_system_score_gemma":0.000025857315,"threshold_uncertainty_score":0.8388568},"labels":[],"label_agreement":null},{"id":"W2964009355","doi":"10.1109/vtcfall.2015.7391126","title":"SCMA for Open-Loop Joint Transmission CoMP","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Robustness (evolution); Channel state information; Scheduling (production processes); Telecommunications link; Spectral efficiency; Computer network; Overhead (engineering); Multiplexing; Wireless; Channel (broadcasting); Engineering; Telecommunications","score_opus":0.05885485583514426,"score_gpt":0.27716059222848255,"score_spread":0.21830573639333828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964009355","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":[0.00042896706,0.0001532273,0.97439617,0.00006933551,0.00021481678,0.00051357865,0.0000027325116,0.0002701237,0.023951026],"genre_scores_gemma":[0.44192898,0.000018956844,0.5497863,0.00008711671,0.000119769655,0.00014848304,0.00005029771,0.00009027382,0.0077697975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999585,0.0000060354837,0.00014996833,0.00009333167,0.00004870248,0.00011697127],"domain_scores_gemma":[0.99970925,0.000011447284,0.0000126632085,0.000116890136,0.000055663302,0.00009409948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108766944,0.00007592207,0.00011900565,0.000028804798,0.000023100189,0.000030839037,0.00010707501,0.000039676353,0.000033127322],"category_scores_gemma":[0.000012431434,0.00006723885,0.000019195275,0.000063728985,0.000004928772,0.00021867818,0.000015465963,0.000030404202,0.000030953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012976587,0.0000149923,0.000009994466,0.00006410854,0.000010184103,7.460915e-7,0.00016416426,0.9617769,0.0032720023,0.0016018421,0.021556025,0.011516063],"study_design_scores_gemma":[0.0012562035,0.000044591754,0.0000072977264,0.00003833041,0.0000052893315,0.0000039929982,0.00012301742,0.9447407,0.01422387,0.0006021967,0.038795162,0.0001593192],"about_ca_topic_score_codex":0.0000099081435,"about_ca_topic_score_gemma":0.000004465062,"teacher_disagreement_score":0.44150004,"about_ca_system_score_codex":0.000050184848,"about_ca_system_score_gemma":0.000011908205,"threshold_uncertainty_score":0.27419207},"labels":[],"label_agreement":null},{"id":"W2964050133","doi":"10.1109/lwc.2018.2803825","title":"Channel Diagonalization for Cloud Radio Access","year":2018,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; MIMO; Baseband; Multi-user MIMO; Precoding; Channel (broadcasting); Singular value decomposition; Computer network; Topology (electrical circuits); Electronic engineering; Algorithm; Bandwidth (computing); Engineering; Electrical engineering","score_opus":0.03403531581985487,"score_gpt":0.2869369936422904,"score_spread":0.25290167782243556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964050133","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":[0.011785327,0.00015974662,0.9841478,0.0012445403,0.0011097041,0.00058700435,0.000033205888,0.0005216264,0.00041107732],"genre_scores_gemma":[0.98835194,0.00023285678,0.009600877,0.0004805433,0.00054409663,0.00048802758,0.00017591364,0.00008379504,0.000041962525],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915296,0.0000519349,0.00030556245,0.00016454943,0.00008585754,0.00023912973],"domain_scores_gemma":[0.9983544,0.00013743312,0.0000830131,0.0012224494,0.00014752809,0.000055209945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001323014,0.00016120642,0.00016858013,0.0001356669,0.0002930566,0.000079220525,0.0009937376,0.00007356078,0.0000064735013],"category_scores_gemma":[0.00002236644,0.00018979897,0.000055189794,0.00034434948,0.00016068271,0.0004646816,0.00006835585,0.00010445214,0.000031292842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028716617,0.0000987979,0.0003133281,0.0002492946,0.00019542618,6.7593675e-7,0.002503775,0.86474013,0.0508169,0.004640399,0.0671643,0.009248265],"study_design_scores_gemma":[0.0005315913,0.00001837367,0.00009645319,0.000086619264,0.00002817964,0.000005008569,0.00004424665,0.9720187,0.011538056,0.0002047726,0.0150581235,0.00036984205],"about_ca_topic_score_codex":0.000013986641,"about_ca_topic_score_gemma":0.00004636277,"teacher_disagreement_score":0.9765666,"about_ca_system_score_codex":0.00013762774,"about_ca_system_score_gemma":0.000012250397,"threshold_uncertainty_score":0.77397776},"labels":[],"label_agreement":null},{"id":"W2964597363","doi":"10.1109/jstsp.2019.2930889","title":"Domain Selective Precoding in 3-D Massive MIMO Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Precoding; Zero-forcing precoding; MIMO; Computer science; Telecommunications link; Algorithm; Computational complexity theory; Channel state information; Multi-user MIMO; Base station; Spectral efficiency; Interference (communication); Azimuth; Electronic engineering; Channel (broadcasting); Mathematics; Telecommunications; Wireless; Engineering","score_opus":0.008517682507242613,"score_gpt":0.22948723850738786,"score_spread":0.22096955600014526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964597363","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":[0.72830206,0.0023139953,0.26587376,0.000022101429,0.0007732619,0.00043706593,0.000001434605,0.00006696242,0.0022093253],"genre_scores_gemma":[0.9931606,0.000042897547,0.00633248,0.0000064815827,0.00033642215,0.0000073694164,9.921532e-7,0.000041559066,0.00007117486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99835837,0.00008814739,0.0008285548,0.00015693206,0.00023625846,0.00033176382],"domain_scores_gemma":[0.9990508,0.000100982514,0.00033501346,0.000074047035,0.00038132907,0.00005780849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037167678,0.00018888335,0.00043230478,0.0005335396,0.00003061654,0.00007288749,0.0001776755,0.0001598805,0.000007806759],"category_scores_gemma":[0.00003664329,0.00019056858,0.000037526934,0.0010972144,0.000014528647,0.0007026236,0.000008534284,0.0006696115,0.0000037230438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003738335,0.000027921758,0.008436489,0.00036419716,0.000023359375,0.000039944305,0.0013703915,0.9448844,0.042420443,0.000045866374,0.000032367217,0.0023171874],"study_design_scores_gemma":[0.005113336,0.00047718163,0.0043989257,0.00730432,0.00004319595,0.0005633055,0.002769154,0.9274135,0.048022192,0.0020776228,0.0006408746,0.0011763772],"about_ca_topic_score_codex":0.0000059637823,"about_ca_topic_score_gemma":0.000013897074,"teacher_disagreement_score":0.26485854,"about_ca_system_score_codex":0.00065527303,"about_ca_system_score_gemma":0.00015183889,"threshold_uncertainty_score":0.7771161},"labels":[],"label_agreement":null},{"id":"W2966510405","doi":"10.1109/twc.2019.2931977","title":"Using Bender’s Decomposition for Optimal Power Control and Routing in Multihop D2D Cellular Systems","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Power control; Telecommunications link; Mathematical optimization; Benchmark (surveying); Base station; Underlay; Routing (electronic design automation); Interference (communication); Signal-to-noise ratio (imaging); Noise (video); Disjoint sets; Power (physics); Computer network; Mathematics; Telecommunications","score_opus":0.021326016442609792,"score_gpt":0.27072392263391876,"score_spread":0.24939790619130897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966510405","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":[0.12599649,0.0002660314,0.8718579,0.000032286527,0.0003433825,0.0011395086,0.00007304014,0.00017836562,0.00011301855],"genre_scores_gemma":[0.978269,0.000096936055,0.021326717,0.000011065199,0.000011244473,0.00017362958,0.000021220241,0.00006456538,0.000025654972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989575,0.00009027592,0.0004248707,0.00020297119,0.00008482869,0.00023951291],"domain_scores_gemma":[0.9987483,0.00031732576,0.00007793328,0.0007155334,0.00008318557,0.00005771649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001767339,0.00018801945,0.00027213726,0.00022522402,0.00022134633,0.00005680852,0.0002262422,0.00013315456,0.000004309825],"category_scores_gemma":[0.0000021933042,0.00022883438,0.000061722254,0.00020952601,0.000039924937,0.00032590827,0.000002774881,0.0002600894,0.000007693871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016515834,0.000062302825,0.00005298864,0.000060961,0.000038221875,2.2780645e-7,0.0004429658,0.9533542,0.044997524,0.00035546106,0.0000014382799,0.00061722053],"study_design_scores_gemma":[0.0013059174,0.00003230114,0.000022248556,0.00019238115,0.000032235388,0.0000073074725,0.0006281194,0.99459743,0.0029183992,0.000007017805,0.000033610253,0.00022303923],"about_ca_topic_score_codex":0.0000705194,"about_ca_topic_score_gemma":0.00006008379,"teacher_disagreement_score":0.8522725,"about_ca_system_score_codex":0.00023341036,"about_ca_system_score_gemma":0.000018881337,"threshold_uncertainty_score":0.9331595},"labels":[],"label_agreement":null},{"id":"W2967097634","doi":"10.1155/2019/3469413","title":"A Robust Channel Estimation Scheme for 5G Massive MIMO Systems","year":2019,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; Fundação para a Ciência e a Tecnologia; Ministry of Science and ICT, South Korea; Conselho Nacional de Desenvolvimento Científico e Tecnológico; King Saud University; National Research Foundation","keywords":"Computer science; MIMO; Channel state information; Overhead (engineering); Channel (broadcasting); Base station; User equipment; Matrix (chemical analysis); Computer network; Real-time computing; Algorithm; Telecommunications; Wireless","score_opus":0.02146524652854927,"score_gpt":0.2468063865440272,"score_spread":0.22534114001547792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967097634","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":[0.058179908,0.0029361537,0.93593156,0.000027500091,0.00031822055,0.0014594643,0.000014262609,0.00035255932,0.0007803382],"genre_scores_gemma":[0.9478872,0.00023058578,0.051318847,0.0000066332923,0.000039533512,0.00030332166,0.000108552056,0.00004391637,0.00006142843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992293,0.000033369597,0.00031595875,0.00017044236,0.00005794416,0.00019297106],"domain_scores_gemma":[0.99878466,0.00022168519,0.00010946372,0.00070968963,0.00012675054,0.000047763682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001698339,0.00014385025,0.000219508,0.00008522981,0.00021468902,0.000074468815,0.00026717843,0.00007942479,0.0000013004426],"category_scores_gemma":[0.000011924026,0.00016072906,0.000034222532,0.00015368022,0.000032425654,0.00017616212,0.000079265075,0.00011939849,0.000009744271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015586082,0.000013940737,0.0000793212,0.00027463748,0.000020419075,5.9426927e-8,0.00043999945,0.9893741,0.0009146653,0.0018707679,0.00004187698,0.006968648],"study_design_scores_gemma":[0.0003527802,0.000028314458,0.000020319505,0.0002709065,0.00000824253,0.0000051423262,0.0006414314,0.99740803,0.00011930768,0.000025461939,0.000944189,0.00017586761],"about_ca_topic_score_codex":0.000016927088,"about_ca_topic_score_gemma":0.000003114144,"teacher_disagreement_score":0.88970727,"about_ca_system_score_codex":0.000071614086,"about_ca_system_score_gemma":0.0000123370055,"threshold_uncertainty_score":0.6554341},"labels":[],"label_agreement":null},{"id":"W2968074955","doi":"10.1109/twc.2019.2933831","title":"Downlink Training in Cell-Free Massive MIMO: A Blessing in Disguise","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Vetenskapsrådet; European Commission; Queen's University; Queen's University Belfast; UK Research and Innovation","keywords":"Telecommunications link; MIMO; Computer science; Beamforming; Rayleigh fading; Channel state information; Multi-user MIMO; Channel (broadcasting); Fading; Computer network; Telecommunications; Wireless","score_opus":0.019143084292668592,"score_gpt":0.24585184647336025,"score_spread":0.22670876218069166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968074955","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":[0.18479508,0.00032683398,0.7986074,0.00035686535,0.00062078825,0.0010779971,0.00007650211,0.0005395047,0.013599024],"genre_scores_gemma":[0.98813313,0.000891175,0.010418403,0.000018054661,0.000010624458,0.00027976529,0.000019046589,0.00007201638,0.0001577713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986562,0.00011962275,0.00052798085,0.00023951488,0.00012767669,0.0003289966],"domain_scores_gemma":[0.99768794,0.0002988344,0.000071573646,0.0018316224,0.00004321895,0.000066819426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015861566,0.00022604015,0.00031127047,0.0004875074,0.000118558455,0.000039789396,0.00079030433,0.0001552583,0.000035038684],"category_scores_gemma":[0.000004657261,0.00027420488,0.00007436399,0.00081143656,0.000061311854,0.0003751566,0.0000077634795,0.0006523134,0.00006902655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008977374,0.00012190534,0.0001439423,0.000058886933,0.00001146278,0.0000019204213,0.0037084147,0.97930294,0.0073789787,0.00026740017,0.000006969494,0.008988171],"study_design_scores_gemma":[0.0020877372,0.000032253523,0.00030179165,0.00059355213,0.000019002415,0.0000040327313,0.0038135916,0.9857342,0.0064527416,0.00025012795,0.00017931359,0.00053162425],"about_ca_topic_score_codex":0.00012900512,"about_ca_topic_score_gemma":0.00237474,"teacher_disagreement_score":0.80333805,"about_ca_system_score_codex":0.00037295985,"about_ca_system_score_gemma":0.0000654376,"threshold_uncertainty_score":0.99997103},"labels":[],"label_agreement":null},{"id":"W2968257815","doi":"10.1109/access.2019.2934751","title":"PCS Threshold Selection for Spatial Reuse in High Density CSMA/CA MIMO Wireless Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Throughput; MIMO; Carrier sense multiple access with collision avoidance; Node (physics); Wireless network; Channel (broadcasting); Wireless; Engineering; Telecommunications","score_opus":0.011426564688068495,"score_gpt":0.2436557113370781,"score_spread":0.23222914664900962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968257815","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":[0.52188975,0.000025944553,0.47597277,0.000009465368,0.0013727953,0.00047868182,0.0000036198787,0.00014851024,0.000098481345],"genre_scores_gemma":[0.99799144,0.00003080655,0.0012806751,0.000027804314,0.0003892295,0.00008859297,0.00003391991,0.000062549865,0.00009500018],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905854,0.000016770138,0.00027710854,0.00025414335,0.00009402305,0.0002994163],"domain_scores_gemma":[0.9994089,0.000060276518,0.00006573609,0.00033660574,0.000084353436,0.00004414857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001223527,0.00016893681,0.00024319036,0.00011013903,0.000042350835,0.0000695382,0.00030836737,0.0001782194,0.000015921078],"category_scores_gemma":[0.000017225451,0.00018931137,0.000038793176,0.00030339154,0.000009348076,0.00058660813,0.000038637438,0.00017601265,0.000017333537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003979708,0.000013664,0.023238229,0.0000869083,0.000013191869,0.0000010548458,0.00004165565,0.97233444,0.002380863,0.00005381924,0.00085277436,0.0009436101],"study_design_scores_gemma":[0.00073933695,0.000026219739,0.0036542702,0.000067475135,0.000009971344,0.0000029433968,0.0000067709834,0.9795667,0.015348628,0.00022749937,0.00010885659,0.0002413395],"about_ca_topic_score_codex":0.00047306862,"about_ca_topic_score_gemma":0.0020609575,"teacher_disagreement_score":0.4761017,"about_ca_system_score_codex":0.00017117962,"about_ca_system_score_gemma":0.000013975141,"threshold_uncertainty_score":0.77198935},"labels":[],"label_agreement":null},{"id":"W2969381067","doi":"10.1109/access.2019.2936291","title":"Enabling Multi-Functional 5G and Beyond User Equipment: A Survey and Tutorial","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":107,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Viterbi School of Engineering, University of Southern California; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; California Institute of Technology; University of Southern California","keywords":"Computer science; User equipment; Reconfigurability; Wireless; Software deployment; MIMO; Beamforming; Efficient energy use; Multiplexing; Computer architecture; Embedded system; Systems engineering; Telecommunications; Software engineering; Electrical engineering; Engineering; Base station","score_opus":0.028659355455565295,"score_gpt":0.2672756639621937,"score_spread":0.2386163085066284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969381067","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":[0.80909634,0.00039157333,0.18555105,0.000005245808,0.004005359,0.00031835778,0.000022495367,0.0001558925,0.00045367298],"genre_scores_gemma":[0.9983634,0.00005425914,0.0009370905,0.000019005523,0.00025864228,0.000010065752,0.00002198922,0.00003095949,0.00030461958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999404,0.000021752956,0.00015090761,0.00018325259,0.0000892624,0.00015078213],"domain_scores_gemma":[0.99966353,0.00008937291,0.000030241536,0.000116592986,0.000049240676,0.0000510229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015588629,0.00011323345,0.0001329385,0.00006819985,0.000040726907,0.000114709495,0.00006989371,0.000069456386,0.000029431909],"category_scores_gemma":[0.00002775904,0.0001161338,0.000010871995,0.000107736516,0.000013784515,0.00069180207,0.000029042023,0.00008030264,0.000014738893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007121225,0.000029511251,0.15606503,0.00026899594,0.00009462671,0.000003932626,0.00043617244,0.8175947,0.022393938,0.00014468552,0.0009463937,0.0019507642],"study_design_scores_gemma":[0.0138221355,0.00014880374,0.2868156,0.0002689458,0.0000771984,0.00006319328,0.0002512706,0.6536742,0.031082075,0.00048940425,0.010874079,0.002433086],"about_ca_topic_score_codex":0.000051750063,"about_ca_topic_score_gemma":0.000067806905,"teacher_disagreement_score":0.18926701,"about_ca_system_score_codex":0.000035858266,"about_ca_system_score_gemma":0.00000885596,"threshold_uncertainty_score":0.47357988},"labels":[],"label_agreement":null},{"id":"W2969471624","doi":"10.1002/dac.4100","title":"Optimal location management in LTE networks using evolutionary techniques","year":2019,"lang":"en","type":"article","venue":"International Journal of Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Paging; Overhead (engineering); Robustness (evolution); Particle swarm optimization; Ant colony optimization algorithms; Computer network; User equipment; Evolutionary algorithm; Distributed computing; Algorithm; Base station; Artificial intelligence","score_opus":0.01205972676826096,"score_gpt":0.2715035538107681,"score_spread":0.2594438270425071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969471624","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":[0.039728105,0.005882892,0.9487312,0.00006701316,0.0016438304,0.0004805849,0.0000025942502,0.00009283411,0.0033709786],"genre_scores_gemma":[0.96602404,0.0011115234,0.03260363,0.000011016385,0.00013578935,0.000014976954,0.000016625663,0.000026288166,0.000056103512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855715,0.00010749985,0.0008241733,0.00008022173,0.00031833374,0.0001126108],"domain_scores_gemma":[0.99864405,0.00006121636,0.00037737898,0.00031029826,0.00057418435,0.000032839103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049751496,0.00011415284,0.0001935783,0.00047702435,0.000022042417,0.00006181115,0.0006139352,0.00007876259,0.000009807315],"category_scores_gemma":[0.000012347216,0.00012312192,0.000048242375,0.00026547431,0.00001806525,0.00066427095,0.00006936874,0.00021148734,0.000010696626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020536212,0.000024193325,0.00093188236,0.000014592994,0.00008608651,0.0000040987934,0.00009362457,0.99473554,0.00028167752,0.0021950635,0.00009083378,0.0015218816],"study_design_scores_gemma":[0.00035422124,0.00001675413,0.00061501405,0.0007463834,0.000010149679,0.00011132782,0.00044834585,0.99472266,0.000120624165,0.00007928569,0.0026465328,0.00012869369],"about_ca_topic_score_codex":0.000019827045,"about_ca_topic_score_gemma":0.0000020146288,"teacher_disagreement_score":0.92629594,"about_ca_system_score_codex":0.0006516636,"about_ca_system_score_gemma":0.00002217599,"threshold_uncertainty_score":0.5020766},"labels":[],"label_agreement":null},{"id":"W2970467281","doi":"10.1109/ieeeconf44664.2019.9049076","title":"The Effect of Channel Uncertainty on Max-Min Goodput","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Goodput; Channel (broadcasting); Transmission (telecommunications); Computer science; Metric (unit); Set (abstract data type); Mathematical optimization; Control theory (sociology); Throughput; Mathematics; Telecommunications; Wireless; Engineering","score_opus":0.006643446583658116,"score_gpt":0.22417040924791068,"score_spread":0.21752696266425256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970467281","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":[0.019937862,0.0015807851,0.85524875,0.00009167941,0.008462596,0.004185064,0.0000860436,0.0011022519,0.10930498],"genre_scores_gemma":[0.9965141,0.00014773232,0.00042048658,0.000006249012,0.00013475103,0.00012490095,0.00004655338,0.000075666096,0.002529563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999047,0.00006335494,0.00030539394,0.00022921443,0.00014897416,0.00020607204],"domain_scores_gemma":[0.99872994,0.00036999962,0.00010409223,0.0007251016,0.000038833397,0.000032036933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028155008,0.00027936892,0.0003800576,0.00006551968,0.000029797324,0.00002247452,0.00029197382,0.000242087,0.000013729845],"category_scores_gemma":[0.00006635377,0.00018042082,0.000117613425,0.00006915002,0.000021571876,0.000026874577,0.00013984345,0.00035805456,0.00008556462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018959327,0.0000022620688,0.000021906879,0.0005121722,0.000058405236,4.3115335e-7,0.00004478945,0.9967476,0.00013541833,0.00018887615,0.00072310574,0.001546044],"study_design_scores_gemma":[0.00046209016,0.0001935215,0.000034237164,0.0005119525,0.000034700766,0.0000015722009,0.000034377426,0.97731596,0.019599088,0.0002469392,0.0012037115,0.00036187604],"about_ca_topic_score_codex":0.00004073955,"about_ca_topic_score_gemma":0.000018503928,"teacher_disagreement_score":0.9765762,"about_ca_system_score_codex":0.00013872139,"about_ca_system_score_gemma":0.000013021252,"threshold_uncertainty_score":0.7357347},"labels":[],"label_agreement":null},{"id":"W2971055167","doi":"10.1109/spawc.2019.8815446","title":"Optimal Multi-group Multicast Beamforming Structure","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multicast; Beamforming; Computer science; Mathematical optimization; Algorithm; Mathematics; Computer network; Telecommunications","score_opus":0.005897433730112127,"score_gpt":0.21154245301164465,"score_spread":0.20564501928153253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971055167","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":[0.13803981,0.000056115838,0.8580313,0.000003081778,0.00047334348,0.00027896764,0.000008354299,0.0005160194,0.002593002],"genre_scores_gemma":[0.67523396,0.0000028217316,0.32405925,0.000009789212,0.000038418093,0.0000040413047,0.000015634581,0.00003458137,0.00060147245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940723,0.0000048703564,0.00016439255,0.0001432848,0.00007054013,0.00020966583],"domain_scores_gemma":[0.9996876,0.00001740421,0.00001852006,0.00020253602,0.000022794835,0.000051113184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027539041,0.0001339943,0.00013250431,0.000054177828,0.000023569044,0.000020379342,0.000087904846,0.000080622536,0.0003241272],"category_scores_gemma":[0.000008390897,0.00012390983,0.000028822911,0.00009654684,0.0000078748,0.00028733842,0.000022659635,0.00010647684,0.00017972896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016708339,0.0000042889596,0.0004324694,0.000040547162,0.000011047395,7.8436693e-7,0.00012303726,0.9604223,0.037764974,0.00018874457,0.000032324213,0.0009778101],"study_design_scores_gemma":[0.00049211935,0.000012649811,0.00016020972,0.000018087067,0.0000039677006,0.00000958986,0.00018330452,0.9918742,0.0057587465,0.0000034309724,0.0012943066,0.00018933987],"about_ca_topic_score_codex":0.000005662925,"about_ca_topic_score_gemma":0.000013239287,"teacher_disagreement_score":0.5371942,"about_ca_system_score_codex":0.00005720261,"about_ca_system_score_gemma":0.0000028133384,"threshold_uncertainty_score":0.5052897},"labels":[],"label_agreement":null},{"id":"W2971344689","doi":"10.1109/globalsip45357.2019.8969563","title":"A Worst-Case Performance Optimization Based Design Approach to Robust Symbol-Level Precoding for Downlink MU-MIMO","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Telecommunications link; Precoding; Mathematical optimization; Coordinate descent; Computer science; MIMO; Optimization problem; Transmitter power output; Control theory (sociology); Convex optimization; Mathematics; Algorithm; Transmitter; Regular polygon; Channel (broadcasting); Telecommunications","score_opus":0.08031069240390237,"score_gpt":0.24302700523337337,"score_spread":0.162716312829471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971344689","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":[0.00013855995,0.00009182596,0.98545676,0.00001923932,0.0012558341,0.0065493695,0.00013702779,0.0010999932,0.005251388],"genre_scores_gemma":[0.20349313,0.000027924247,0.79305357,0.000044518125,0.00021825208,0.0017730339,0.0005466437,0.00023276052,0.00061014056],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974161,0.000056563455,0.0008061942,0.0008978657,0.00021958505,0.0006037317],"domain_scores_gemma":[0.9981257,0.00020679978,0.00020064882,0.00095104775,0.0003220239,0.00019379752],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059866474,0.000695759,0.0007026629,0.0004982144,0.00014283542,0.00018531825,0.0004134294,0.00062759063,0.000033488337],"category_scores_gemma":[0.00012442622,0.00074356457,0.00016622315,0.0003539282,0.000015469288,0.0003568301,0.00017904042,0.00046948428,0.00003487862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048925667,0.00004241369,0.000021916489,0.0022537077,0.00006688889,0.0000025347356,0.00022558248,0.99571353,0.000029695986,0.000042110452,0.0005734047,0.0009792743],"study_design_scores_gemma":[0.0007168101,0.000052999392,0.000004029098,0.0004700551,0.00007538797,0.000038458453,0.000093330826,0.99696934,0.0006307254,0.000010889268,0.000048708844,0.00088924984],"about_ca_topic_score_codex":0.000012525985,"about_ca_topic_score_gemma":0.000005067028,"teacher_disagreement_score":0.20335458,"about_ca_system_score_codex":0.0005483947,"about_ca_system_score_gemma":0.00012914132,"threshold_uncertainty_score":0.9995015},"labels":[],"label_agreement":null},{"id":"W2971784884","doi":"10.1109/tvt.2019.2939779","title":"Secrecy Performance of Small-Cell Networks With Transmitter Selection and Unreliable Backhaul Under Spectrum Sharing Environment","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Eavesdropping; Backhaul (telecommunications); Transmitter; Secrecy; Computer science; Computer network; Transmitter power output; Underlay; Mathematical optimization; Signal-to-noise ratio (imaging); Base station; Telecommunications; Mathematics; Wireless; Computer security","score_opus":0.0034623564865236137,"score_gpt":0.15505562156565408,"score_spread":0.15159326507913046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971784884","genre_codex":"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":[0.43947965,0.000095994605,0.5598463,0.00002414166,0.00007419647,0.00023321643,0.0000011430592,0.00017681936,0.00006852809],"genre_scores_gemma":[0.99296075,0.0003510843,0.006371592,0.000011145239,0.000009116894,0.000051886207,0.000002267215,0.0000568957,0.0001852703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999158,0.0000085678685,0.00021553018,0.0002837579,0.00007896688,0.00025513445],"domain_scores_gemma":[0.9996255,0.00001469148,0.00004470736,0.00026681556,0.000015577052,0.00003270963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053499276,0.00019467069,0.00022219672,0.00026047658,0.00005962649,0.000008516574,0.00009808162,0.00025253207,0.000059425183],"category_scores_gemma":[1.4902277e-7,0.00019277829,0.000032566404,0.00032264699,0.00004382147,0.00012042388,0.0000013837431,0.00036813034,0.00001981929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024307603,0.00003480625,0.0007075376,0.00010481071,0.00004959983,8.4421276e-7,0.000023137127,0.98488003,0.013003388,0.00004521981,6.125901e-7,0.0011256776],"study_design_scores_gemma":[0.00067590363,0.00032175315,0.00009028631,0.00008854018,0.00004357591,0.000040040275,0.000050908377,0.8083572,0.1900206,0.000049101112,0.00005758935,0.00020452577],"about_ca_topic_score_codex":0.000007369828,"about_ca_topic_score_gemma":0.000019628178,"teacher_disagreement_score":0.5534811,"about_ca_system_score_codex":0.00010024655,"about_ca_system_score_gemma":0.000006754686,"threshold_uncertainty_score":0.78612703},"labels":[],"label_agreement":null},{"id":"W2973078122","doi":"10.1109/access.2019.2940458","title":"Multiuser Massive MIMO Systems With Time-Offset Pilots and Successive Interference Cancellation","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Bộ Giáo dục và Ðào tạo","keywords":"Single antenna interference cancellation; Telecommunications link; MIMO; Computer science; Power control; Offset (computer science); Base station; Spectral efficiency; Frequency offset; Interference (communication); Transmitter power output; Real-time computing; Channel (broadcasting); Algorithm; Control theory (sociology); Power (physics); Orthogonal frequency-division multiplexing; Telecommunications; Transmitter; Control (management)","score_opus":0.009339725877302878,"score_gpt":0.23169012691135477,"score_spread":0.22235040103405188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973078122","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":[0.6450401,0.00045667685,0.34836316,0.000020234234,0.0012877122,0.001164154,0.0000360131,0.000372701,0.0032592406],"genre_scores_gemma":[0.9986641,0.000034026813,0.00035435427,0.000010828789,0.00008906618,0.000060960414,0.000021338841,0.000047444828,0.00071791466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999202,0.000025254903,0.00020854882,0.00025223906,0.00011452182,0.00019745181],"domain_scores_gemma":[0.99940413,0.00007366732,0.000104453364,0.00023265064,0.000121698606,0.00006341614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004736536,0.00018574136,0.00022296506,0.00009357632,0.000038859802,0.00014646088,0.00018036552,0.000077024386,0.000033332373],"category_scores_gemma":[0.000008208568,0.00016064242,0.000012199242,0.00017947235,0.000023476952,0.00089748163,0.000027718394,0.00010873804,0.0000918997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029318677,0.00000568211,0.0073515265,0.00022722992,0.000033243094,0.000004487285,0.0002043742,0.98622906,0.005158243,0.00002209142,0.0003519368,0.00038280693],"study_design_scores_gemma":[0.0008650074,0.000068353715,0.0011851116,0.00050887355,0.000020944026,0.000011523909,0.00010285695,0.9893172,0.007302087,0.000014068202,0.00021443701,0.00038958783],"about_ca_topic_score_codex":0.0001233332,"about_ca_topic_score_gemma":0.0000600517,"teacher_disagreement_score":0.35362396,"about_ca_system_score_codex":0.000096782394,"about_ca_system_score_gemma":0.000015946389,"threshold_uncertainty_score":0.6550808},"labels":[],"label_agreement":null},{"id":"W2973618841","doi":"10.48550/arxiv.1909.09290","title":"Analysis and Optimization of Successful Symbol Transmission Rate for Grant-free Massive Access with Massive MIMO","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Transmission (telecommunications); MIMO; Network packet; Random access; Channel (broadcasting); Metric (unit); Computer network; Data transmission; Beamforming; Performance metric; Phase-shift keying; Bit error rate; Telecommunications; Engineering","score_opus":0.023736816960408868,"score_gpt":0.18717544521534132,"score_spread":0.16343862825493247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973618841","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":[0.047826644,0.00011096797,0.95014143,0.000017435937,0.00013784411,0.0011646607,0.0001977677,0.00014901438,0.00025420936],"genre_scores_gemma":[0.9872681,0.0006920514,0.01140216,0.0000044884923,0.00002470474,0.000008869466,0.00029212303,0.00007240561,0.00023512628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985873,0.00007039509,0.00031503718,0.00069827493,0.0000695196,0.00025946883],"domain_scores_gemma":[0.9982505,0.00014058416,0.0003729153,0.0007531289,0.00036962205,0.000113293485],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011776656,0.00039359357,0.0007154115,0.00067910366,0.000073154515,0.000058813795,0.00059089484,0.00033471527,0.000029956856],"category_scores_gemma":[0.000024372557,0.00041152883,0.00019061755,0.0009383897,0.000076774006,0.00052681187,0.00021309529,0.00023182352,7.969018e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018911914,0.000020047299,0.0045213755,0.0010685119,0.0009208711,0.000013086414,0.00014470016,0.99264157,0.000102392085,0.00026234295,0.000018583107,0.00009742221],"study_design_scores_gemma":[0.0014171249,0.000053862717,0.00031991236,0.00029094116,0.0017064236,5.8983613e-7,0.00017492613,0.99371725,0.0013490838,0.0005080943,0.000008261201,0.00045350415],"about_ca_topic_score_codex":0.00007952831,"about_ca_topic_score_gemma":0.000063044165,"teacher_disagreement_score":0.93944144,"about_ca_system_score_codex":0.0001457673,"about_ca_system_score_gemma":0.000062256266,"threshold_uncertainty_score":0.99983364},"labels":[],"label_agreement":null},{"id":"W2975591067","doi":"10.1109/lcomm.2019.2942926","title":"Analysis and Optimization of Successful Symbol Transmission Rate for Grant-free Massive Access With Massive MIMO","year":2019,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Shanghai Jiao Tong University; National Natural Science Foundation of China","keywords":"Computer science; Transmission (telecommunications); MIMO; Network packet; Random access; Computer network; Performance metric; Metric (unit); Beamforming; Data transmission; Channel (broadcasting); Phase-shift keying; Bit error rate; Algorithm; Telecommunications","score_opus":0.012839662846591491,"score_gpt":0.24786387528226775,"score_spread":0.23502421243567626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975591067","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":[0.041178484,0.00020463673,0.9561637,0.0012341229,0.00006033552,0.0008624121,0.000060197464,0.000106469844,0.00012965713],"genre_scores_gemma":[0.8732013,0.0003943188,0.12588689,0.00007796637,0.000011009272,0.0001721412,0.00018629438,0.00004781035,0.000022262751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991027,0.00008209762,0.0003472819,0.00020117972,0.00009963964,0.00016708412],"domain_scores_gemma":[0.9979216,0.0002643455,0.0001809947,0.0014097274,0.00017001196,0.000053305776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012510948,0.00017675992,0.0003287477,0.00035668814,0.0001052881,0.000052378324,0.0007885815,0.00006977015,0.0000145862705],"category_scores_gemma":[0.000017255092,0.00016836698,0.000074748554,0.00077079586,0.00009014255,0.0005502936,0.000057410103,0.00011171526,0.0000010640738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027977323,0.000015573823,0.0023595358,0.00014606294,0.0002947215,2.2140635e-7,0.00030325528,0.9814617,0.014828728,0.000039787203,0.000099806486,0.00042263832],"study_design_scores_gemma":[0.0010827442,0.000031378815,0.00056430476,0.0001198685,0.0004085584,0.000001021038,0.0001535302,0.98906815,0.008190778,0.000024087076,0.00010935738,0.00024622038],"about_ca_topic_score_codex":0.000037477854,"about_ca_topic_score_gemma":0.000048646038,"teacher_disagreement_score":0.83202285,"about_ca_system_score_codex":0.000056158493,"about_ca_system_score_gemma":0.000013765793,"threshold_uncertainty_score":0.6865806},"labels":[],"label_agreement":null},{"id":"W2977923642","doi":"10.1109/iccchina.2019.8855869","title":"Power Control for Interference Management via Ensembling Deep Neural Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Interference (communication); Computer science; Power (physics); Artificial neural network; Control (management); Power control; Artificial intelligence; Computer network","score_opus":0.005224145441434815,"score_gpt":0.2050325761121164,"score_spread":0.19980843067068157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977923642","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":[0.001565968,0.00011381222,0.9899292,0.000010097525,0.0008224669,0.0006767138,9.3623777e-7,0.00028001147,0.0066008097],"genre_scores_gemma":[0.98740095,0.0000044279523,0.011958037,0.000070098875,0.000039513663,0.000036881673,0.0000064958485,0.000032421038,0.000451195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994521,0.0000060963916,0.00016704293,0.00013234618,0.00003913168,0.00020327486],"domain_scores_gemma":[0.99970984,0.0000422421,0.000021532085,0.0001638116,0.000031050015,0.000031493437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053514483,0.000107865584,0.0001252476,0.000045621233,0.000017498282,0.00002725899,0.00008685384,0.000042196898,0.000090222915],"category_scores_gemma":[0.0000028798086,0.00010329412,0.000036605597,0.00006268964,0.0000037637772,0.00013568779,0.000014698072,0.000053090283,0.000031889304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012758423,0.000002810191,0.000084370775,0.00003627174,0.00002664321,5.4072075e-7,0.000032810607,0.9946103,0.0002200752,0.0007017399,0.000066343026,0.0042053345],"study_design_scores_gemma":[0.0006093463,0.00002827454,0.000024478826,0.000013781969,0.000007233437,0.000001727406,0.000063168874,0.9988135,0.00006558369,0.00005195593,0.0001968453,0.00012410426],"about_ca_topic_score_codex":0.0000010025382,"about_ca_topic_score_gemma":0.00000296091,"teacher_disagreement_score":0.98583496,"about_ca_system_score_codex":0.00003854792,"about_ca_system_score_gemma":4.845203e-7,"threshold_uncertainty_score":0.4212212},"labels":[],"label_agreement":null},{"id":"W2978812740","doi":"10.1109/lwc.2019.2921769","title":"Novel Theoretical Performance Comparisons of Open-Loop and Closed-Loop Timing Recovery in Rayleigh Fading Channels With and Without a Receiver Outage Condition","year":2019,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Rayleigh fading; Fading; Computer science; Loop (graph theory); Control theory (sociology); Open-loop controller; Electronic engineering; Outage probability; Closed loop; Channel (broadcasting); Telecommunications; Engineering; Mathematics; Control engineering","score_opus":0.022594945349426694,"score_gpt":0.26109245279906795,"score_spread":0.23849750744964127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978812740","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":[0.91171277,0.00009865491,0.08660051,0.00022530642,0.00008451881,0.000625431,0.000016998581,0.000057363828,0.0005784267],"genre_scores_gemma":[0.98266613,0.00033478637,0.016724035,0.000084801,0.0000094706775,0.00007751732,0.000036553465,0.000043400993,0.000023308969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991003,0.00006928467,0.0003394493,0.00020381967,0.00009281809,0.0001943243],"domain_scores_gemma":[0.9989302,0.0001790089,0.00011918666,0.000680747,0.000044901844,0.000045931163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022454902,0.00017511968,0.00034468612,0.00017942299,0.0000954174,0.00006584281,0.0004169656,0.000072434064,0.0000062578115],"category_scores_gemma":[0.000008955891,0.00017911699,0.000015358823,0.00023961002,0.0002773018,0.0006702567,0.00013374824,0.0002672737,0.0000034782784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116048155,0.00010572247,0.045154046,0.0003901892,0.00010390974,8.16056e-7,0.0021296246,0.7310948,0.21492521,0.0036197468,0.00007951037,0.0022803624],"study_design_scores_gemma":[0.0023567944,0.00007470149,0.0046100803,0.0012002471,0.00003577899,0.00003346149,0.0004625652,0.98211604,0.008592658,0.000020603144,0.000064300024,0.00043276072],"about_ca_topic_score_codex":0.000040852745,"about_ca_topic_score_gemma":0.000032542397,"teacher_disagreement_score":0.25102124,"about_ca_system_score_codex":0.000075942684,"about_ca_system_score_gemma":0.0000126150135,"threshold_uncertainty_score":0.7304179},"labels":[],"label_agreement":null},{"id":"W2979559090","doi":"10.1109/ccece.2019.8861518","title":"RRH selection and load balancing through Dynamic BBU-RRH Mapping in C-RAN","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer network; Blocking (statistics); Radio access network; Quality of service; Baseband; Cellular network; C-RAN; Markov process; Radio resource management; Base station; Wireless network; Wireless; Mobile station; Bandwidth (computing); Telecommunications","score_opus":0.003892559768875627,"score_gpt":0.19830938062963815,"score_spread":0.19441682086076253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979559090","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":[0.35823688,0.00027756326,0.6278811,0.000028699036,0.0002951831,0.00029913834,7.6283607e-7,0.0003587197,0.012621943],"genre_scores_gemma":[0.9832148,0.00005727491,0.016090615,0.00001600856,0.000020873826,0.000009655731,0.0000043327577,0.000028415408,0.00055803714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993987,0.000011048609,0.00018101682,0.00016076588,0.0000675056,0.00018096791],"domain_scores_gemma":[0.9998135,0.00002665623,0.000021604706,0.000095928954,0.000022583397,0.00001972514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008228729,0.00010800403,0.00013987969,0.00006714539,0.000020482516,0.000019514287,0.00003494499,0.0000692572,0.000043845594],"category_scores_gemma":[0.000013374456,0.00011548325,0.000013117136,0.00023926924,0.000004147076,0.0003749632,0.000013111923,0.000103867686,0.00004968578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024188028,0.000004598194,0.009579919,0.00017691731,0.000010561266,0.0000010603244,0.00095544284,0.9511389,0.036296636,0.0003338587,0.00002894312,0.0014707585],"study_design_scores_gemma":[0.00042357188,0.000010244942,0.002214443,0.00010046806,0.0000022161273,0.000013107942,0.00040391475,0.9951449,0.0008932448,0.0002032634,0.0004131496,0.00017748038],"about_ca_topic_score_codex":0.000118612676,"about_ca_topic_score_gemma":0.00044599848,"teacher_disagreement_score":0.6249779,"about_ca_system_score_codex":0.00026474873,"about_ca_system_score_gemma":0.000009057463,"threshold_uncertainty_score":0.47092703},"labels":[],"label_agreement":null},{"id":"W2979600268","doi":"10.1109/tnet.2019.2943561","title":"Optimization of MIMO Device-to-Device Networks via Matrix Fractional Programming: A Minorization–Maximization Approach","year":2019,"lang":"en","type":"article","venue":"IEEE/ACM Transactions on Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Computer science; Beamforming; Transmitter; Maximization; Scheduling (production processes); Distributed computing; MIMO; Mathematical optimization; Computer network; Telecommunications","score_opus":0.014131150406218252,"score_gpt":0.23930682988668978,"score_spread":0.2251756794804715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979600268","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":[0.0010582167,0.00026742407,0.99315035,0.000027168711,0.0025250684,0.0015854404,0.000010879987,0.0006586634,0.0007167674],"genre_scores_gemma":[0.7552533,0.00011378203,0.24339043,0.000045979654,0.00044883718,0.00021779284,0.00016287957,0.0001614537,0.00020555063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99753535,0.00009539228,0.0008572414,0.0005599147,0.00041674243,0.0005353689],"domain_scores_gemma":[0.9983804,0.00018651357,0.00026769048,0.0006998387,0.00029578537,0.00016974595],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002613653,0.0004396355,0.0004748111,0.0004942188,0.00021182849,0.00008458208,0.00035034784,0.00033604848,0.00009699364],"category_scores_gemma":[0.000013479765,0.00051953935,0.00015619046,0.0019349316,0.000030371244,0.00056222663,0.000008264322,0.00040762438,0.000041120227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058368005,0.00011706374,0.00030587357,0.00016965439,0.00010777815,6.510166e-7,0.00019204404,0.98369735,0.0002828366,0.000025155132,0.000044580738,0.01499867],"study_design_scores_gemma":[0.0006221581,0.00008834358,0.000038970295,0.00022022318,0.00008797279,0.000015709285,0.00009135214,0.9964196,0.00042444532,0.000020051391,0.0014938341,0.00047734973],"about_ca_topic_score_codex":0.000019083776,"about_ca_topic_score_gemma":0.0000149098505,"teacher_disagreement_score":0.7541951,"about_ca_system_score_codex":0.00028705737,"about_ca_system_score_gemma":0.000038941893,"threshold_uncertainty_score":0.99972564},"labels":[],"label_agreement":null},{"id":"W2979640248","doi":"10.1109/ccece.2019.8861846","title":"Evaluation of Massive MU-MIMO Channel Estimation Based on Uplink Achievable-Sum Rate Criteria","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; MIMO; Computer science; Base station; Minimum mean square error; Duplex (building); Algorithm; Detector; Channel (broadcasting); Electronic engineering; Mathematics; Statistics; Telecommunications; Engineering","score_opus":0.02053500607523364,"score_gpt":0.274491992445774,"score_spread":0.25395698637054037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979640248","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":[0.024277935,0.000029588153,0.9608727,0.000054266417,0.0007010791,0.0009178699,0.000008855426,0.00023609264,0.012901592],"genre_scores_gemma":[0.9842,0.00000287294,0.015376141,0.000030065428,0.000035018307,0.00006473305,0.00009240343,0.000042748357,0.0001560347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989605,0.00009511716,0.0003103987,0.0001890927,0.00028459335,0.00016028687],"domain_scores_gemma":[0.99913216,0.00007905598,0.000096331016,0.00031885103,0.0003363594,0.000037256024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082333304,0.00015787664,0.00019349757,0.00016449617,0.00002404076,0.000018301469,0.000080252394,0.0000956795,0.0004357343],"category_scores_gemma":[0.0001348947,0.000156584,0.000038908063,0.00019786807,0.00000921829,0.0002883295,0.000009739633,0.00007480969,0.00017521247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001536926,0.000015932752,0.000020050342,0.0000994531,0.00001360896,1.3356036e-7,0.000059213486,0.98197526,0.0158062,0.00013528213,0.000108988905,0.0017504821],"study_design_scores_gemma":[0.00092725136,0.000065650216,0.00025764047,0.00010852556,0.000039204315,2.8253368e-7,0.00003617408,0.975385,0.022717403,0.00029865617,0.000009860391,0.00015436516],"about_ca_topic_score_codex":0.00000682626,"about_ca_topic_score_gemma":0.0000031130492,"teacher_disagreement_score":0.9599221,"about_ca_system_score_codex":0.00018173324,"about_ca_system_score_gemma":0.00003611156,"threshold_uncertainty_score":0.638531},"labels":[],"label_agreement":null},{"id":"W2979819562","doi":"10.1109/ccece.2019.8861598","title":"Enhanced Mobility Load Balancing Algorithm for 5G Small Cell Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Load balancing (electrical power); Computer science; Quality of service; Algorithm; Load management; Load factor; Enhanced Data Rates for GSM Evolution; Throughput; Algorithm design; Distributed computing; Computer network; Engineering; Mathematics","score_opus":0.004761692186432103,"score_gpt":0.19360824165934606,"score_spread":0.18884654947291396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979819562","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":[0.005139891,0.0002043499,0.9752496,0.0000019244396,0.00080354547,0.000817898,0.000003876993,0.0004638266,0.017315114],"genre_scores_gemma":[0.84474915,0.00002070287,0.1522467,0.000024218945,0.00014576342,0.000098274046,0.00001918975,0.000053361964,0.0026426052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991988,0.00000860365,0.00023028777,0.00021811949,0.00006159705,0.00028259412],"domain_scores_gemma":[0.99946743,0.00008000928,0.000033241682,0.0002776894,0.00008864281,0.000052963274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014459764,0.00014593806,0.00018985629,0.000023410455,0.00002519858,0.000018143939,0.000093954135,0.00010366474,0.00007623385],"category_scores_gemma":[0.000009682643,0.00014772831,0.00005505109,0.00010025204,0.000005699015,0.00016201311,0.000009854144,0.00008636438,0.00007141176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024290082,0.000009327778,0.000031744232,0.00009498993,0.0000071293985,1.1907122e-7,0.0000479381,0.98158795,0.0060335873,0.000021739928,0.00010217203,0.012060868],"study_design_scores_gemma":[0.00046944767,0.00002437407,0.00002060038,0.000020454356,0.000004740425,5.305025e-7,0.00004625043,0.96110606,0.03768633,0.00003321945,0.00040764612,0.00018035981],"about_ca_topic_score_codex":0.0000149421385,"about_ca_topic_score_gemma":0.000019651534,"teacher_disagreement_score":0.83960927,"about_ca_system_score_codex":0.00016935839,"about_ca_system_score_gemma":0.000013929037,"threshold_uncertainty_score":0.60241854},"labels":[],"label_agreement":null},{"id":"W2979982950","doi":"10.3390/e21100992","title":"On Achievable Distortion in Sending Gaussian Sources over a Bandwidth-Matched Gaussian MAC with No Transmitter CSI","year":2019,"lang":"en","type":"article","venue":"Entropy","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Transmitter; Minimum mean square error; Fading; Channel state information; Gaussian; Rayleigh fading; Computer science; Mathematics; Algorithm; Upper and lower bounds; Decoding methods; Channel (broadcasting); Telecommunications; Topology (electrical circuits); Statistics; Wireless; Physics; Combinatorics; Mathematical analysis","score_opus":0.0029262035555086495,"score_gpt":0.18780000574356073,"score_spread":0.18487380218805208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979982950","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":[0.769887,0.00010716632,0.22216822,0.00008031381,0.0005311161,0.0006614382,0.000010860411,0.00032627123,0.006227648],"genre_scores_gemma":[0.99704593,0.000015990385,0.001831344,0.000043369884,0.00009394578,0.000035292127,0.000032371998,0.00007205223,0.0008297079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989911,0.000031866264,0.00023332474,0.0002477419,0.00017078708,0.000325231],"domain_scores_gemma":[0.9995999,0.000032302396,0.000051184335,0.00024052657,0.000011680442,0.00006441571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007292627,0.00021069717,0.0002415037,0.00014430954,0.00003527666,0.000029546074,0.00008476359,0.00008847981,0.0003314483],"category_scores_gemma":[0.0000062407953,0.00018060574,0.0000413331,0.00018588155,0.0000139193035,0.00028009314,0.0000066952884,0.00016217753,0.00024314248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002628082,0.00007027375,0.041394047,0.00033639447,0.000059114638,0.000025811427,0.0019858202,0.9357853,0.017830523,0.0013986339,0.00037143801,0.00047981192],"study_design_scores_gemma":[0.019895466,0.0013976109,0.08681481,0.003581829,0.00014525269,0.000060803464,0.0011623454,0.8170383,0.04352046,0.0010114787,0.021557987,0.0038136716],"about_ca_topic_score_codex":0.000031891363,"about_ca_topic_score_gemma":0.00003578302,"teacher_disagreement_score":0.22715895,"about_ca_system_score_codex":0.00022528083,"about_ca_system_score_gemma":0.000007812821,"threshold_uncertainty_score":0.7364889},"labels":[],"label_agreement":null},{"id":"W2980475627","doi":"10.1109/jlt.2019.2947543","title":"TCO Planning Game for 5G Multitenant Virtualized Mobile BackHaul (V-MBH) Network","year":2019,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Backhaul (telecommunications); Multitenancy; Operating expense; Computer science; Network planning and design; Cellular network; Computer network; Operating cost; Pricing strategies; Operations research; Engineering; Operating system; Economics; Base station; Finance; Microeconomics","score_opus":0.0064094943827489,"score_gpt":0.2408404169357493,"score_spread":0.2344309225530004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980475627","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":[0.18877423,0.0054796557,0.79938143,0.00018693843,0.0032873412,0.0011387118,0.0000087058315,0.0006122306,0.0011307468],"genre_scores_gemma":[0.9448048,0.00013400514,0.05419837,0.000029803807,0.00036972435,0.000040083196,0.000004181217,0.000080202546,0.00033881367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860317,0.000016719165,0.0007149501,0.000150481,0.000120924204,0.00039375844],"domain_scores_gemma":[0.99896127,0.00013167664,0.00037232597,0.00027193484,0.00020102703,0.00006177896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026315762,0.00019861435,0.00054300914,0.0003938869,0.00003540946,0.000017212344,0.00028078814,0.00032820433,0.000037027017],"category_scores_gemma":[0.00007844555,0.00016821806,0.00013015818,0.000359191,0.00003249296,0.0002170585,0.000023516706,0.00034978217,0.000038746522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006178322,0.000021136933,0.0008976467,0.000083954015,0.00012031627,0.00002539039,0.00014828712,0.9651963,0.028618868,0.0008991924,0.0019736385,0.0019534947],"study_design_scores_gemma":[0.011692031,0.0032166091,0.00023294674,0.0021142105,0.0002117476,0.0018888161,0.0015071215,0.44480753,0.111431904,0.009497887,0.41177383,0.0016253499],"about_ca_topic_score_codex":4.1757588e-7,"about_ca_topic_score_gemma":8.3351074e-7,"teacher_disagreement_score":0.75603056,"about_ca_system_score_codex":0.0001364345,"about_ca_system_score_gemma":0.000024805395,"threshold_uncertainty_score":0.68597335},"labels":[],"label_agreement":null},{"id":"W2981080014","doi":"10.1109/tmc.2019.2948014","title":"Optimal ADMM-Based Spectrum and Power Allocation for Heterogeneous Small-Cell Networks with Hybrid Energy Supplies","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Mobile Communications Research Laboratory, Southeast University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"Mathematical optimization; Computer science; Maximization; Utility maximization problem; Convexity; Optimization problem; Grid; Convex optimization; Minification; Energy consumption; Lagrangian relaxation; Regular polygon; Mathematics; Utility maximization","score_opus":0.004130425254912459,"score_gpt":0.18181707689298812,"score_spread":0.17768665163807568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981080014","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":[0.15959403,0.0001337658,0.8389649,0.000005478557,0.00038374885,0.00055237906,0.00001031028,0.00029491255,0.00006050071],"genre_scores_gemma":[0.97266704,0.000015734664,0.026952393,0.000027727403,0.00004622075,0.000111393274,0.000019856929,0.00008713982,0.00007247521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990737,0.00001809401,0.00023403025,0.00030247142,0.00007588292,0.0002958632],"domain_scores_gemma":[0.99947006,0.00013604986,0.00005768856,0.00022469451,0.00004529845,0.0000662353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006312243,0.00022842166,0.00021001713,0.00009694032,0.00019418754,0.00008091512,0.00007977482,0.000068470654,0.00001372689],"category_scores_gemma":[4.4216407e-7,0.00023911161,0.00005575599,0.000117352254,0.000021170974,0.000080531056,0.0000010715451,0.00012590156,0.0000037185769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048625643,0.00003639023,0.000011124796,0.000066899906,0.000029644885,0.0000014530469,0.000045522498,0.99602056,0.0012465939,0.00000443034,0.000007293902,0.0024814461],"study_design_scores_gemma":[0.0007938495,0.00033384506,0.0000018404377,0.00006213429,0.000023213712,0.000020635995,0.000043951954,0.91550994,0.082799464,0.0000019138254,0.00016272724,0.000246489],"about_ca_topic_score_codex":0.0000092670925,"about_ca_topic_score_gemma":0.0000264964,"teacher_disagreement_score":0.81307304,"about_ca_system_score_codex":0.000085922264,"about_ca_system_score_gemma":0.000016879616,"threshold_uncertainty_score":0.97506887},"labels":[],"label_agreement":null},{"id":"W2981864008","doi":"10.1002/ett.3750","title":"Device‐centric communication in IoT: An energy efficiency perspective","year":2019,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"","keywords":"Computer science; Efficient energy use; Computer network; Wireless; Resource efficiency; Energy consumption; Distributed computing; Telecommunications; Engineering; Electrical engineering","score_opus":0.010029971816348538,"score_gpt":0.25298866546540455,"score_spread":0.242958693649056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981864008","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":[0.048593163,0.004776159,0.9256468,0.0013976877,0.00020419704,0.00085024093,0.000016545699,0.0072368816,0.011278344],"genre_scores_gemma":[0.9633204,0.0030881593,0.03312967,0.00001558074,0.0000027385029,0.00025035295,0.000022181892,0.00005405025,0.00011690659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987802,0.00009829089,0.0004098464,0.000276508,0.000121064215,0.0003141176],"domain_scores_gemma":[0.9974962,0.00015839258,0.00007818911,0.0021193738,0.00011935055,0.000028484366],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016076531,0.0002303496,0.0002362917,0.0010109597,0.0002465918,0.000036293153,0.0010666096,0.00020470723,0.00006039039],"category_scores_gemma":[0.0000312624,0.00026536552,0.000058982736,0.0018203233,0.00009826254,0.00037310293,0.00002208076,0.0005620588,0.00007323822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060940015,0.00020919308,0.00010218175,0.000015634818,0.000023844912,2.8213017e-7,0.00075163145,0.9618862,0.0010732287,0.010125198,0.000013991384,0.025792468],"study_design_scores_gemma":[0.0011002128,0.00015600404,0.00041301185,0.0002517163,0.000037106132,0.000014212857,0.03003796,0.9454463,0.012484024,0.005398233,0.0037176583,0.00094357],"about_ca_topic_score_codex":0.00020274629,"about_ca_topic_score_gemma":0.0006566472,"teacher_disagreement_score":0.9147272,"about_ca_system_score_codex":0.00056484505,"about_ca_system_score_gemma":0.000027091475,"threshold_uncertainty_score":0.99997985},"labels":[],"label_agreement":null},{"id":"W2982220845","doi":"10.1049/iet-com.2018.6090","title":"Gram–Schmidt orthogonalisation aided hybrid precoding in millimetre‐wave massive MIMO systems","year":2019,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Matching pursuit; Orthogonality; MIMO; Algorithm; Computer science; Spectral efficiency; Mathematics; Matrix (chemical analysis); Control theory (sociology); Telecommunications; Artificial intelligence; Beamforming; Compressed sensing","score_opus":0.026481842199326953,"score_gpt":0.24373542447292684,"score_spread":0.2172535822735999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982220845","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":[0.48337358,0.013043429,0.40450513,0.00094798574,0.003303839,0.0063892095,0.000281547,0.0023964338,0.085758835],"genre_scores_gemma":[0.9874171,0.0005039928,0.011004281,0.000016531656,0.000036483,0.00021864165,0.00035478757,0.00005783854,0.00039035585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987252,0.00015735922,0.0005292517,0.00019910914,0.00013667624,0.00025242116],"domain_scores_gemma":[0.9978731,0.00030646284,0.00012898937,0.0015169072,0.000114190036,0.000060341787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002474674,0.00018523166,0.0002631382,0.0002662392,0.000094836876,0.00006376343,0.00044989274,0.000085703985,0.00003908217],"category_scores_gemma":[0.000073500334,0.00021670047,0.000056757246,0.0004658182,0.000035141475,0.00044344764,0.00011171903,0.00028779352,0.00021297888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005759081,0.000046491365,0.005508988,0.00014573046,0.00005339466,0.0000018242768,0.000782574,0.9818619,0.004271871,0.00567141,0.00042347185,0.0012265986],"study_design_scores_gemma":[0.00063662307,0.000020823978,0.0017426731,0.00031947708,0.00002006089,0.000012775561,0.0007537747,0.98892784,0.0009774728,0.0003333134,0.0058724685,0.0003826774],"about_ca_topic_score_codex":0.00010236164,"about_ca_topic_score_gemma":0.000120425815,"teacher_disagreement_score":0.5040435,"about_ca_system_score_codex":0.00029061624,"about_ca_system_score_gemma":0.00002568945,"threshold_uncertainty_score":0.8836789},"labels":[],"label_agreement":null},{"id":"W2982524715","doi":"10.1109/wcnc.2019.8885482","title":"Decoupled Uplink-Downlink User Association in Ultra-Dense Networks: A Contract-Theoretic Approach","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Telecommunications link; Computer science; Base station; Computer network; User equipment; Association (psychology); Wireless; Channel (broadcasting); Transmitter power output; Telecommunications","score_opus":0.0037261574436529502,"score_gpt":0.19241042491567031,"score_spread":0.18868426747201736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982524715","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":[0.093690954,0.00023525387,0.88380575,0.00002053381,0.00050809374,0.0008579125,0.000002207532,0.000493197,0.020386066],"genre_scores_gemma":[0.99031395,0.00010014715,0.007922404,0.000050849594,0.00008555863,0.000054511216,0.000048454967,0.00005882417,0.0013653126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886274,0.000039337738,0.00038860374,0.0002255502,0.00012565001,0.0003581084],"domain_scores_gemma":[0.9993475,0.00020621292,0.00008133793,0.00024741824,0.00006169113,0.000055823613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003834325,0.0001811663,0.0002856341,0.000101807345,0.000018557595,0.000041262767,0.00010725315,0.00023557183,0.00016834051],"category_scores_gemma":[0.00007986125,0.00018159018,0.00005040117,0.00028691726,0.000007429921,0.00026916733,0.000008553334,0.00024113934,0.00017036921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009306302,0.000023020477,0.01695747,0.000041723877,0.000024681545,0.0000010057446,0.00013620085,0.9801301,0.0006210146,0.0016684466,0.00017804375,0.00020899225],"study_design_scores_gemma":[0.0009622419,0.000012054941,0.0015129216,0.000032733988,0.000010843153,0.000003011514,0.00007220847,0.99667275,0.00025315196,0.00009833234,0.00013415092,0.0002356284],"about_ca_topic_score_codex":0.00001777531,"about_ca_topic_score_gemma":0.000033711593,"teacher_disagreement_score":0.89662296,"about_ca_system_score_codex":0.00040045014,"about_ca_system_score_gemma":0.000011005228,"threshold_uncertainty_score":0.74050325},"labels":[],"label_agreement":null},{"id":"W2982603003","doi":"10.1109/wcnc.2019.8885752","title":"Optimal Interference Management, Power Control and Routing in Multihop D2D Cellular Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Base station; Computer science; Telecommunications link; Power control; Benchmark (surveying); Underlay; Interference (communication); Mathematical optimization; Disjoint sets; Signal-to-noise ratio (imaging); Computer network; Power (physics); Telecommunications; Mathematics","score_opus":0.0043453905184795425,"score_gpt":0.18954682250085195,"score_spread":0.1852014319823724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982603003","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":[0.15690297,0.00022719584,0.8267142,0.000004163687,0.00035235414,0.0005744697,0.0000019735082,0.00019066768,0.015032],"genre_scores_gemma":[0.99485075,0.0000141526325,0.004279019,0.000007194589,0.000012457219,0.000015418733,0.0000026052835,0.000027000635,0.00079138664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930173,0.000018289977,0.00024656707,0.00017676913,0.000056191377,0.0002004402],"domain_scores_gemma":[0.9997281,0.000029859402,0.000028868566,0.00016215416,0.00001681537,0.000034212924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011928155,0.000125778,0.00017815632,0.00009811457,0.000011777103,0.000042116313,0.00007460802,0.00005264632,0.000026596448],"category_scores_gemma":[0.000004228553,0.00012471854,0.000014057386,0.00009466633,0.0000073985498,0.00020405387,0.000030269546,0.000084184656,0.00006354119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007738725,0.000006965822,0.003223692,0.00016963569,0.000025854668,0.000008567817,0.00025463136,0.9868757,0.0066846185,0.002432732,0.00001713236,0.0002927071],"study_design_scores_gemma":[0.0007578039,0.000015618494,0.00020830975,0.00013263419,0.0000045058923,0.0000029864498,0.0010422164,0.9973082,0.00031040254,0.000004039489,0.000055444398,0.00015786939],"about_ca_topic_score_codex":0.000022270497,"about_ca_topic_score_gemma":0.0000039169317,"teacher_disagreement_score":0.8379478,"about_ca_system_score_codex":0.00005833557,"about_ca_system_score_gemma":0.0000014731565,"threshold_uncertainty_score":0.5085875},"labels":[],"label_agreement":null},{"id":"W2982681883","doi":"10.1109/wcnc.2019.8885770","title":"Successive Column-wise Matrix Inversion Update for Large Scale Massive MIMO Reciprocity Calibration","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); Cholesky decomposition; Algorithm; Computer science; MIMO; Matrix decomposition; Neumann series; Telecommunications link; Eigendecomposition of a matrix; Estimator; Matrix (chemical analysis); Sparse matrix; Mathematical optimization; Mathematics; Eigenvalues and eigenvectors; Channel (broadcasting); Telecommunications","score_opus":0.005483980700894576,"score_gpt":0.2272757928746571,"score_spread":0.22179181217376254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982681883","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":[0.04253987,0.00005066416,0.9530838,0.000080673955,0.0006130188,0.0012587479,0.00009676011,0.00044115598,0.0018353255],"genre_scores_gemma":[0.9549225,0.000031256124,0.040181126,0.00008609795,0.000107255204,0.000117461605,0.00036136777,0.00006753641,0.0041253823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990989,0.000020885307,0.000257902,0.0002407177,0.00010984083,0.00027172817],"domain_scores_gemma":[0.9994396,0.00006275644,0.00007919663,0.00022851767,0.00011536275,0.00007455967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009979867,0.00015613876,0.00020044704,0.000080967584,0.00007660523,0.000043582324,0.00011257929,0.00014174065,0.000299606],"category_scores_gemma":[0.00003178912,0.00016193162,0.000059487757,0.0001897538,0.000008286528,0.00075624016,0.000035383753,0.000082185914,0.00022648768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010224219,0.000060049966,0.0026699011,0.00066111126,0.000059297283,0.0000020937953,0.00061267795,0.9398163,0.023880333,0.004200705,0.027484933,0.00045035916],"study_design_scores_gemma":[0.0010464074,0.000040639563,0.000020335267,0.000041248284,0.000014649483,7.1750236e-7,0.00034966535,0.9719913,0.018468648,0.00024188499,0.0075408844,0.00024363039],"about_ca_topic_score_codex":0.000013078172,"about_ca_topic_score_gemma":0.00008352776,"teacher_disagreement_score":0.91290265,"about_ca_system_score_codex":0.00014958438,"about_ca_system_score_gemma":0.00001848056,"threshold_uncertainty_score":0.660338},"labels":[],"label_agreement":null},{"id":"W2984425570","doi":"10.1109/tvt.2019.2953170","title":"New Efficient Transmission Technique for HetNets With Massive MIMO Wireless Backhaul","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Backhaul (telecommunications); MIMO; Base station; Telecommunications link; Computer science; Transmitter power output; Beamforming; Spatial multiplexing; Computer network; Multiplexing; Wireless; Scheduling (production processes); Spectral efficiency; Wireless network; Electronic engineering; Space-division multiple access; Precoding; Channel (broadcasting); Engineering; Mathematical optimization; Telecommunications; Transmitter; Mathematics","score_opus":0.004180519001580419,"score_gpt":0.20258820853868895,"score_spread":0.19840768953710852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984425570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013597291,0.00011927563,0.9822752,0.00021886942,0.0002882322,0.0021146357,0.00001657126,0.0012299564,0.00013998587],"genre_scores_gemma":[0.90898687,0.00003737914,0.0899065,0.00001489776,0.000016318087,0.00057344016,0.0000071832533,0.00011260383,0.00034479355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988002,0.00001487449,0.00027590356,0.00039627237,0.00014103032,0.00037170693],"domain_scores_gemma":[0.9992578,0.000038609003,0.000053788197,0.00047614303,0.000087242166,0.00008644245],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006269578,0.00029584565,0.00032831807,0.00047836857,0.000092101196,0.0000133805,0.0002076854,0.00047496217,0.00005286803],"category_scores_gemma":[0.0000011333949,0.0002729551,0.00009956263,0.0006125642,0.000044018412,0.00008312094,8.618496e-7,0.00037673995,0.000053364303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004662688,0.000038038444,0.0000022554552,0.000096387266,0.000048670216,0.000004976857,0.000032873453,0.8037702,0.17969939,0.00015928199,0.000034330318,0.016066974],"study_design_scores_gemma":[0.0011611233,0.00034188022,0.0000012177485,0.00022727538,0.00004318822,0.000057868972,0.0000729092,0.24475354,0.7507463,0.00010380291,0.0021503144,0.00034057247],"about_ca_topic_score_codex":0.0000053003128,"about_ca_topic_score_gemma":0.0000079167385,"teacher_disagreement_score":0.8953896,"about_ca_system_score_codex":0.00016552852,"about_ca_system_score_gemma":0.00004398541,"threshold_uncertainty_score":0.9999723},"labels":[],"label_agreement":null},{"id":"W2985653646","doi":"10.1109/vtcfall.2019.8891298","title":"Angular-Based 3D Hybrid Precoding for URA in Multi-User Massive MIMO Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Baseband; MIMO; Overhead (engineering); Channel state information; Zero-forcing precoding; Computer science; Beamforming; Electronic engineering; Interference (communication); Channel (broadcasting); Topology (electrical circuits); Engineering; Telecommunications; Wireless; Electrical engineering; Bandwidth (computing)","score_opus":0.013587749613723821,"score_gpt":0.2323666193532109,"score_spread":0.21877886973948707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985653646","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":[0.021134073,0.00020379573,0.9746799,0.00001124215,0.0008033761,0.0015771819,0.000022249156,0.00035027682,0.001217889],"genre_scores_gemma":[0.9341675,0.0000035215053,0.06339519,0.00001550075,0.000046576108,0.00023988973,0.000041835327,0.00007217426,0.0020178005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991197,0.00001775483,0.00030917246,0.00021122367,0.000072712086,0.0002694382],"domain_scores_gemma":[0.99951833,0.00009372655,0.00004829443,0.00023627855,0.000059680406,0.000043709784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120518795,0.00016031043,0.00023398217,0.00014404024,0.000018863771,0.00003480594,0.00009700108,0.00006791761,0.000036274505],"category_scores_gemma":[0.000034200453,0.00016104002,0.000043693923,0.00012394713,0.0000054810157,0.00022496755,0.000010547306,0.00007388752,0.000067307425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007080954,0.000012189244,0.0011446375,0.0003601022,0.000012075684,0.0000017959754,0.00004245487,0.9913498,0.0064178454,0.00032130993,0.00016289874,0.00016781793],"study_design_scores_gemma":[0.0010285566,0.00002010858,0.00006314012,0.0001493153,0.000005261865,0.000001687649,0.00013516803,0.9874068,0.009562595,0.0000043736336,0.0014050679,0.00021795336],"about_ca_topic_score_codex":0.00002744915,"about_ca_topic_score_gemma":0.000024496314,"teacher_disagreement_score":0.9130334,"about_ca_system_score_codex":0.00017880843,"about_ca_system_score_gemma":0.000013702678,"threshold_uncertainty_score":0.65670216},"labels":[],"label_agreement":null},{"id":"W2985957562","doi":"10.1109/tvt.2019.2953281","title":"Capturing the Sparsity and Tracking the Channels for Massive MIMO Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"MIMO; Computer science; Channel (broadcasting); Autoregressive model; Overhead (engineering); Spatial correlation; Algorithm; Telecommunications link; Kalman filter; Artificial intelligence; Mathematics; Telecommunications","score_opus":0.007964038588962056,"score_gpt":0.19924146303960918,"score_spread":0.19127742445064713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985957562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07007036,0.00040796332,0.92685753,0.00064582337,0.00076288584,0.00082735764,0.0000058626556,0.0003871848,0.000035030487],"genre_scores_gemma":[0.9986189,0.000094385294,0.00091794133,0.000038607745,0.00004041824,0.00018159783,0.0000012558393,0.000036955593,0.000069965354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933934,0.000017844119,0.00015079847,0.00019173708,0.000056952304,0.00024330572],"domain_scores_gemma":[0.9994592,0.000103464794,0.00003803904,0.00033758656,0.000042270512,0.000019437537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011029649,0.00014788979,0.0001547952,0.00010986618,0.00022933976,0.000026069732,0.0001755197,0.00022093985,0.0000054422803],"category_scores_gemma":[0.0000042066254,0.00010383571,0.000059339534,0.00024075102,0.00007608603,0.0000891636,0.0000018537273,0.00037007403,0.000007960132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005634677,0.0000064020323,0.000012517733,0.000020270129,0.00005031452,9.690854e-7,0.00010415613,0.9909303,0.0019522272,0.00029128054,0.000011342192,0.0066145505],"study_design_scores_gemma":[0.0004004017,0.000051686176,0.00001577707,0.000050662216,0.000050883707,0.000035396937,0.00047177222,0.9577121,0.039592512,0.00042994958,0.0010117515,0.00017707364],"about_ca_topic_score_codex":0.0000051785387,"about_ca_topic_score_gemma":0.000023562066,"teacher_disagreement_score":0.9285485,"about_ca_system_score_codex":0.000051637795,"about_ca_system_score_gemma":0.0000046319547,"threshold_uncertainty_score":0.42342973},"labels":[],"label_agreement":null},{"id":"W2986901904","doi":"10.1109/vtcfall.2019.8891083","title":"LAS Receiver Exploiting Channel Hardening for Massive MIMO Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"MIMO; Detector; Computer science; Channel (broadcasting); Inversion (geology); Hardening (computing); Computational complexity theory; Algorithm; Telecommunications; Materials science","score_opus":0.013167336270697508,"score_gpt":0.2119661760885985,"score_spread":0.19879883981790097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2986901904","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":[0.008111404,0.00025060377,0.9706498,0.000019112913,0.0016896551,0.0009461846,0.000010885628,0.00067085854,0.017651537],"genre_scores_gemma":[0.9800942,0.000016518125,0.013455096,0.000013587899,0.00025077673,0.00019488348,0.000024524512,0.000086950306,0.0058634696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992268,0.000010711303,0.00023826779,0.00018337506,0.00007929004,0.00026151896],"domain_scores_gemma":[0.99955386,0.00008597178,0.00005124415,0.00017530307,0.00008629197,0.00004734387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009954899,0.00014126486,0.00019834828,0.00007604675,0.000042600142,0.000043365733,0.00008552103,0.00007989814,0.000040512157],"category_scores_gemma":[0.000032232034,0.00014304131,0.000046613557,0.00009412623,0.0000048333222,0.00029082157,0.000015544007,0.00006606077,0.00018398691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003844682,0.0000022073393,0.000045048117,0.00024967804,0.000025383752,7.0270494e-7,0.00023624532,0.9925719,0.0044777277,0.0012835265,0.00092617,0.00017755406],"study_design_scores_gemma":[0.0003911648,0.000025414298,0.0000060468155,0.00018618754,0.000008837807,0.0000049019277,0.0018980341,0.98878807,0.005681598,0.00007803907,0.0026772555,0.00025447176],"about_ca_topic_score_codex":0.00000734769,"about_ca_topic_score_gemma":0.0000023524572,"teacher_disagreement_score":0.9719828,"about_ca_system_score_codex":0.00009538378,"about_ca_system_score_gemma":0.0000057806446,"threshold_uncertainty_score":0.58330554},"labels":[],"label_agreement":null},{"id":"W2989160550","doi":"10.23919/eusipco.2019.8902787","title":"Efficient Distributed Processing for Large Scale MIMO Detection","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"MIMO; Computer science; Algorithm; Baseband; Computational complexity theory; Spectral efficiency; Bandwidth (computing); Inversion (geology); Signal processing; Channel (broadcasting); Computer engineering; Telecommunications","score_opus":0.0045535633105120606,"score_gpt":0.21111715102303588,"score_spread":0.2065635877125238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989160550","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":[0.069061644,0.000056893885,0.92886543,0.000004319744,0.0002620143,0.00043554316,0.00001951143,0.00043889374,0.0008557283],"genre_scores_gemma":[0.98975885,6.227587e-7,0.009818711,0.0000050354583,0.000037848527,0.00004686627,0.000033243243,0.000025565156,0.0002732469],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995475,0.0000033122699,0.00012157036,0.000110873916,0.000047328063,0.00016943416],"domain_scores_gemma":[0.9998013,0.0000126498635,0.000019574609,0.00009415261,0.00004623531,0.000026118243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006164755,0.00007425201,0.000084267005,0.000034351513,0.00004038774,0.000017826671,0.00003498609,0.00004707551,0.000018806446],"category_scores_gemma":[0.000009195755,0.00007162691,0.000024917104,0.00013012235,0.0000022561994,0.00005707828,0.000006827173,0.000034352764,0.00004152895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043616697,0.0000093567205,0.00008236053,0.00013628717,0.0000029991763,4.1034266e-8,0.00007307374,0.98209107,0.015673118,0.000029752655,0.00003239763,0.0018651624],"study_design_scores_gemma":[0.00036273684,0.000012911905,0.00005922246,0.000021628679,0.000003964054,0.0000012554452,0.0001432169,0.9750332,0.02293602,0.000010468835,0.0013190302,0.00009634359],"about_ca_topic_score_codex":8.7571084e-7,"about_ca_topic_score_gemma":0.000010888091,"teacher_disagreement_score":0.9206972,"about_ca_system_score_codex":0.00007434217,"about_ca_system_score_gemma":0.0000040476366,"threshold_uncertainty_score":0.29208606},"labels":[],"label_agreement":null},{"id":"W2989693566","doi":"10.1109/pimrc.2019.8904401","title":"Resource Allocation in Moving Small Cell Network using Deep Learning based Interference Determination","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Gnowit (Canada)","funders":"","keywords":"Computer science; Quality of service; Resource allocation; Interference (communication); Software deployment; Cellular network; Computer network; Graph; Distributed computing","score_opus":0.010030848879015,"score_gpt":0.2041020562148165,"score_spread":0.1940712073358015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989693566","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":[0.16902065,0.00006629929,0.8269095,0.0000027926458,0.00011624297,0.00020679226,1.0312464e-7,0.00019441429,0.0034831981],"genre_scores_gemma":[0.92392004,0.0000032297473,0.075744875,0.000015013048,0.000039245624,0.00000884508,0.00001432989,0.00003659353,0.00021782314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992465,0.000054452383,0.00025107502,0.0001723035,0.00006206024,0.00021363318],"domain_scores_gemma":[0.99964553,0.00008455484,0.000060015536,0.00014296742,0.000038998885,0.000027926386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019581072,0.00011991903,0.0001231538,0.00012384822,0.000030274308,0.00003391402,0.00008682015,0.00008101517,0.000043304055],"category_scores_gemma":[0.000029323466,0.0001399875,0.0000195439,0.0002642942,0.0000049090113,0.00022076533,0.000020541405,0.00016361361,0.00002430181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035419341,0.0000038795065,0.0052154735,0.00007115105,9.76936e-7,6.206802e-7,0.00016211464,0.98233604,0.008602046,0.00001556518,0.0000015320621,0.0035870739],"study_design_scores_gemma":[0.00023588202,0.000015510252,0.00030122,0.00014151003,0.0000030890121,9.91315e-7,0.0001739465,0.99539304,0.0034631442,0.000010337768,0.000106348794,0.00015495521],"about_ca_topic_score_codex":0.000022274973,"about_ca_topic_score_gemma":0.00016482614,"teacher_disagreement_score":0.7548994,"about_ca_system_score_codex":0.00020480239,"about_ca_system_score_gemma":0.00000919605,"threshold_uncertainty_score":0.5708525},"labels":[],"label_agreement":null},{"id":"W2989717462","doi":"10.1109/globalsip45357.2019.8969384","title":"Power Delay Profile in Coordinated Distributed Networks: User-Centric v/s Disjoint Clustering","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cluster analysis; Computer network; Disjoint sets; Distributed computing; Poisson point process; Wireless network; Wireless; Poisson distribution; Telecommunications","score_opus":0.003772154122735846,"score_gpt":0.19314097122390786,"score_spread":0.189368817101172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989717462","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":[0.038060915,0.0001454724,0.9549533,0.000014703447,0.00058928545,0.00066006655,0.000012928889,0.0005558636,0.0050074817],"genre_scores_gemma":[0.9964887,0.000016725495,0.002629913,0.000012235187,0.000022496939,0.0000369523,0.00012822256,0.00005316054,0.0006115947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989966,0.000021994778,0.0003352636,0.00020718866,0.00007113184,0.00036780033],"domain_scores_gemma":[0.99957436,0.00003352658,0.000038035614,0.000250113,0.000040547155,0.00006340196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009099546,0.0001767957,0.00022257812,0.00011148321,0.000018673645,0.00003084759,0.00011102314,0.00010572063,0.00040700365],"category_scores_gemma":[0.000018177338,0.00017285022,0.000033290795,0.0005970482,0.00000727921,0.00028052973,0.000053605792,0.00015495048,0.00015197894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000082958495,0.000014344774,0.0056649833,0.00003481011,0.000010972982,0.0000065557883,0.000032723125,0.9930481,0.00027425477,0.000106123625,0.00061055215,0.00018832572],"study_design_scores_gemma":[0.0006447527,0.00001864568,0.0016327543,0.00007006801,0.0000027459723,0.0000071220243,0.0000783096,0.9962791,0.00023158369,0.0000048244615,0.0007974087,0.00023267677],"about_ca_topic_score_codex":0.000017873632,"about_ca_topic_score_gemma":0.0000351941,"teacher_disagreement_score":0.9584278,"about_ca_system_score_codex":0.00024014637,"about_ca_system_score_gemma":0.000007361022,"threshold_uncertainty_score":0.7048628},"labels":[],"label_agreement":null},{"id":"W2989734355","doi":"10.1109/5gwf.2019.8911618","title":"AI-Enabled Radio Resource Allocation in 5G for URLLC and eMBB Users","year":2019,"lang":"en","type":"article","venue":"2019 IEEE 2nd 5G World Forum (5GWF)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Latency (audio); Quality of service; Reliability (semiconductor); Throughput; Computer network; Algorithm; Wireless; Power (physics); Telecommunications","score_opus":0.005542030238476904,"score_gpt":0.2132733469244066,"score_spread":0.2077313166859297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989734355","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":[0.44608223,0.0061317887,0.4803376,0.0046850066,0.007945987,0.012777324,0.00019500923,0.0023967966,0.039448276],"genre_scores_gemma":[0.980999,0.00006795497,0.0036486036,0.0002657482,0.00015402562,0.00014888491,0.000093058676,0.0001397749,0.01448298],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985052,0.000031217678,0.00042168956,0.00037091272,0.00013692764,0.00053405203],"domain_scores_gemma":[0.9992157,0.00012232001,0.00008827894,0.00042254626,0.000054235206,0.00009689698],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025452414,0.00026620226,0.0003526318,0.0003591648,0.00006504942,0.000058605674,0.00016934682,0.00013375719,0.000030751427],"category_scores_gemma":[0.000027187016,0.0002900242,0.00006065673,0.00041027507,0.000024028028,0.00050862966,0.000016297,0.00020624751,0.00007947779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000110797504,0.00003344382,0.007926963,0.00038671517,0.00006023644,0.0000022095132,0.00053806044,0.91799235,0.015075653,0.0018433736,0.052824445,0.003205772],"study_design_scores_gemma":[0.0059779454,0.00017065063,0.003274748,0.0005591877,0.000060476155,0.000018627097,0.0005720434,0.672569,0.016724482,0.00077608833,0.29791522,0.0013815562],"about_ca_topic_score_codex":0.000056068355,"about_ca_topic_score_gemma":0.0006404631,"teacher_disagreement_score":0.53491676,"about_ca_system_score_codex":0.00020752239,"about_ca_system_score_gemma":0.000022870117,"threshold_uncertainty_score":0.9999552},"labels":[],"label_agreement":null},{"id":"W2990735895","doi":"10.1002/ett.3798","title":"Efficient scheduling of video camera sensor networks for IoT systems in smart cities","year":2019,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; Thompson Rivers University","funders":"Zayed University; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computer science; Probabilistic logic; Computational complexity theory; Scheduling (production processes); Kullback–Leibler divergence; Mathematical optimization; Optimization problem; Real-time computing; Algorithm; Artificial intelligence; Mathematics","score_opus":0.012142413457988964,"score_gpt":0.2403478996836027,"score_spread":0.22820548622561374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990735895","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":[0.101135746,0.0020019147,0.893436,0.00021944846,0.00030138978,0.0010113141,0.000021511305,0.0016134208,0.0002592444],"genre_scores_gemma":[0.90601903,0.00042732552,0.09294185,0.0000030348735,0.000004557697,0.0004869498,0.000009651767,0.00004923894,0.000058367103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988246,0.00003622263,0.0005594623,0.00019951502,0.00009014846,0.00029003242],"domain_scores_gemma":[0.998347,0.0003563934,0.00011105299,0.0010634994,0.000106068626,0.000015978436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021507079,0.00019721624,0.0003328546,0.0006726601,0.0001356824,0.000018871027,0.00044914044,0.00019835679,0.000007229239],"category_scores_gemma":[0.000042315176,0.00022078764,0.0000839669,0.0007977846,0.00008484662,0.00004533526,0.000011876704,0.0003889718,0.000007643849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000084079475,0.000046557685,0.000114745184,0.00012529461,0.000038553826,7.641492e-8,0.00016655159,0.99304736,0.0012273225,0.00087461923,0.0000056705676,0.0043448727],"study_design_scores_gemma":[0.00035863582,0.000041824,0.00003573817,0.00027964145,0.000016668999,0.0000024925794,0.004889089,0.99102163,0.0028343296,0.00005423138,0.0002567443,0.00020897022],"about_ca_topic_score_codex":0.00005386306,"about_ca_topic_score_gemma":0.00004850505,"teacher_disagreement_score":0.8048833,"about_ca_system_score_codex":0.00018482411,"about_ca_system_score_gemma":0.000020451507,"threshold_uncertainty_score":0.90034586},"labels":[],"label_agreement":null},{"id":"W2991301449","doi":"10.1109/lwc.2020.2970696","title":"Joint User Association and Resource Allocation in the Uplink of Heterogeneous Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Resource allocation; Joint (building); Resource management (computing); Computer network; Association (psychology); Heterogeneous network; Telecommunications; Wireless network; Wireless; Engineering","score_opus":0.019894312131319935,"score_gpt":0.21876835846000767,"score_spread":0.19887404632868774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991301449","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":[0.33904073,0.00082964834,0.64270973,0.016365249,0.00008377863,0.0005860903,0.0000059566487,0.00017115008,0.0002076316],"genre_scores_gemma":[0.9961234,0.00033014893,0.0023806903,0.0010134217,0.00003660485,0.0000577323,0.000032435226,0.000023013776,0.0000025802751],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920464,0.0001567704,0.00032608863,0.00009890507,0.00009280669,0.00012079656],"domain_scores_gemma":[0.9990721,0.00019192768,0.00011973427,0.0005580872,0.000032352975,0.000025844338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022814794,0.000094198505,0.00014413489,0.00004889532,0.00006364979,0.00002412987,0.00035689108,0.00006644743,8.655771e-7],"category_scores_gemma":[0.000029059032,0.00009250442,0.000027450473,0.00028209478,0.00003943382,0.00010816519,0.0000399084,0.0002215635,0.0000021548042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024146607,0.00001050559,0.00090735615,0.00002548445,0.000018843839,3.433202e-7,0.001704026,0.98331934,0.011988866,0.00011490682,0.00072092615,0.001186994],"study_design_scores_gemma":[0.0002355296,0.000009137449,0.0007673377,0.00004298486,0.000014603489,0.000002440006,0.00018230542,0.99626195,0.0012274538,0.000005132157,0.0011345838,0.00011654988],"about_ca_topic_score_codex":0.000017253504,"about_ca_topic_score_gemma":0.000033349726,"teacher_disagreement_score":0.6570826,"about_ca_system_score_codex":0.00009119294,"about_ca_system_score_gemma":0.000004092215,"threshold_uncertainty_score":0.3772221},"labels":[],"label_agreement":null},{"id":"W2991461063","doi":"10.1109/tcomm.2019.2955965","title":"Performance of Multi-Cell Massive MIMO Systems With Interference Decoding","year":2019,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Decoding methods; Interference (communication); Computer science; Electronic engineering; Single antenna interference cancellation; 3G MIMO; Telecommunications; Engineering; Beamforming; Channel (broadcasting)","score_opus":0.02133082664781102,"score_gpt":0.23477631723181425,"score_spread":0.21344549058400322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991461063","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":[0.049351756,0.00027424717,0.94508696,0.0000151767545,0.0003151205,0.0005010988,0.000031900283,0.0002105737,0.00421317],"genre_scores_gemma":[0.9820008,0.0005181235,0.016734587,0.0000028896354,0.0000041678677,0.00012495944,0.000005750663,0.000038715094,0.0005699613],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993081,0.00004224307,0.00029566183,0.00012598868,0.000084913794,0.0001430848],"domain_scores_gemma":[0.99846095,0.00012937757,0.00008674134,0.0011574542,0.00012307765,0.000042402215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063970125,0.00014319454,0.00018814992,0.0001524885,0.000105105086,0.000017082713,0.00039487574,0.0000634402,0.000019915586],"category_scores_gemma":[0.0000011661124,0.0001405162,0.000037549526,0.0002828285,0.00005413218,0.00025858288,0.0000028045438,0.00024827552,0.00008390431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010691087,0.0000795701,0.00013499983,0.00014292925,0.000029779936,8.312227e-8,0.00031580648,0.9921254,0.0062249084,0.000023360684,0.000005712654,0.0009067663],"study_design_scores_gemma":[0.0004709068,0.00009754285,0.00003968122,0.00030831,0.000023995502,0.000004252453,0.0004165235,0.98191833,0.01648412,5.9432756e-7,0.0000757018,0.00016003824],"about_ca_topic_score_codex":0.000022048564,"about_ca_topic_score_gemma":0.000044745997,"teacher_disagreement_score":0.9326491,"about_ca_system_score_codex":0.0000992983,"about_ca_system_score_gemma":0.000022906837,"threshold_uncertainty_score":0.5730085},"labels":[],"label_agreement":null},{"id":"W2994716383","doi":"10.1109/access.2019.2959711","title":"Spectral Efficiency Maximization of a Single Cell Massive MU-MIMO Down-Link TDD System by Appropriate Resource Allocation","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Spectral efficiency; Beamforming; Computer science; MIMO; Base station; Transmission (telecommunications); Resource allocation; Maximization; Upper and lower bounds; Duplex (building); Electronic engineering; Transmitter power output; Real-time computing; Mathematical optimization; Computer network; Mathematics; Telecommunications; Engineering; Transmitter; Channel (broadcasting)","score_opus":0.008149563862834561,"score_gpt":0.21135611598175003,"score_spread":0.20320655211891547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994716383","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":[0.22352588,0.00025606152,0.7654893,0.000019364414,0.00077957154,0.0008472049,0.00002323039,0.00041101364,0.008648422],"genre_scores_gemma":[0.99758583,0.000012844094,0.001753353,0.000008177114,0.00012238609,0.000035193585,0.00007826894,0.00007275959,0.00033120738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861497,0.00004989932,0.0004966089,0.00031180805,0.00024366414,0.00028305268],"domain_scores_gemma":[0.99908984,0.000044390912,0.00025784495,0.0004133079,0.00013350273,0.00006109457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014450579,0.00021585394,0.00029078565,0.00015629838,0.00004354699,0.000073371746,0.0003749979,0.00014708603,0.000019139237],"category_scores_gemma":[0.000015078675,0.00022659256,0.00005386683,0.00043046198,0.000022352817,0.0005355781,0.00003150001,0.000119488126,0.000058373833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012209485,0.000032103562,0.00016134411,0.00055587216,0.000012006103,8.8700966e-7,0.00021665303,0.821364,0.17700271,0.0000785592,0.00021104314,0.00035264986],"study_design_scores_gemma":[0.0008003105,0.00006588024,0.000063077576,0.00020306226,0.000029438133,0.0000041028593,0.0001890371,0.63924533,0.3587637,0.000029771178,0.00027186677,0.00033441963],"about_ca_topic_score_codex":0.000031434716,"about_ca_topic_score_gemma":0.0000029150715,"teacher_disagreement_score":0.77405995,"about_ca_system_score_codex":0.00026285675,"about_ca_system_score_gemma":0.00001885662,"threshold_uncertainty_score":0.9240176},"labels":[],"label_agreement":null},{"id":"W2994992444","doi":"10.1109/wcsp.2019.8927868","title":"Deep Reinforcement Learning for Scheduling in Cellular Networks","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Reinforcement learning; Scheduling (production processes); Robustness (evolution); Artificial intelligence; Job shop scheduling; Artificial neural network; Distributed computing; Flexibility (engineering); Machine learning; Computer network; Engineering","score_opus":0.006223536284843034,"score_gpt":0.20203323496834796,"score_spread":0.19580969868350492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994992444","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":[0.0082152095,0.00019902366,0.98591083,0.0000029435812,0.00024574596,0.0003919812,1.4456687e-8,0.00017411904,0.0048601083],"genre_scores_gemma":[0.97142416,0.000017575207,0.027485667,0.0000090183075,0.00004925786,0.00003580823,0.000015463618,0.000029280729,0.0009337871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995043,0.000005155734,0.00017581004,0.00009364956,0.000037847807,0.00018321013],"domain_scores_gemma":[0.99981856,0.000032657834,0.000019324654,0.00009052926,0.000017358443,0.000021592828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009603912,0.00007642295,0.00010167715,0.000053982236,0.00001580872,0.000011977002,0.000044240005,0.0000546683,0.000058146623],"category_scores_gemma":[0.000012419152,0.00008191843,0.000022244949,0.000093649076,0.0000020615212,0.00012025873,0.000010547445,0.00009110252,0.000029447017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002775123,0.0000010990307,0.00067744893,0.000043029762,0.000004466398,2.1498654e-7,0.000058514204,0.9969871,0.0011886077,0.0005181144,0.000004334992,0.00051427283],"study_design_scores_gemma":[0.0003543544,0.000015358417,0.000008679083,0.000030599025,0.000001622649,2.3455192e-7,0.00011597926,0.99788487,0.0011130017,0.000015112371,0.00035759216,0.00010261677],"about_ca_topic_score_codex":0.0000036731417,"about_ca_topic_score_gemma":0.0000066446983,"teacher_disagreement_score":0.9632089,"about_ca_system_score_codex":0.00006949116,"about_ca_system_score_gemma":0.000002505424,"threshold_uncertainty_score":0.33405367},"labels":[],"label_agreement":null},{"id":"W2995025275","doi":"10.1109/cwit.2019.8929921","title":"Optimal Node Density for Multi-RAT Coexistence in Unlicensed Spectrum","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Throughput; Node (physics); Stochastic geometry; Computer network; Interference (communication); Computer science; Base station; Poisson point process; Path loss; Spectrum management; Topology (electrical circuits); Poisson distribution; Distributed computing; Wireless; Telecommunications; Cognitive radio; Engineering; Mathematics; Electrical engineering","score_opus":0.01809096696849331,"score_gpt":0.24779666813788753,"score_spread":0.22970570116939423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995025275","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":[0.1843027,0.000028876806,0.8130831,0.000021147694,0.00035999366,0.0005560836,0.0000034900752,0.00024106835,0.0014035163],"genre_scores_gemma":[0.7841343,0.0000054652724,0.21459973,0.00002619589,0.000023712488,0.000020720976,0.000009017415,0.000027891694,0.0011529692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937236,0.0000071103264,0.00017794482,0.00016817477,0.000049642324,0.00022478923],"domain_scores_gemma":[0.9996903,0.000037306032,0.000020574409,0.00019103095,0.000025518002,0.000035247474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007233855,0.00011230136,0.00016167204,0.000060270522,0.000015427604,0.000013285004,0.0000781632,0.00006546883,0.00003419939],"category_scores_gemma":[0.000019551575,0.00011640908,0.000030335814,0.000117680436,0.000008021431,0.00015560784,0.00001485519,0.00006905008,0.00010724526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012390167,0.00001125551,0.0020761136,0.00006409832,0.0000045398633,0.000001373529,0.00012818853,0.9884933,0.008778217,0.00030640606,0.000083610605,0.00004048535],"study_design_scores_gemma":[0.00088699965,0.0000165216,0.00073744444,0.000023968514,0.0000023321616,0.0000034603092,0.000103669416,0.98090994,0.016918445,0.000009014501,0.00022529744,0.00016288614],"about_ca_topic_score_codex":0.000028127337,"about_ca_topic_score_gemma":0.00019486643,"teacher_disagreement_score":0.5998316,"about_ca_system_score_codex":0.000109722096,"about_ca_system_score_gemma":0.000007518649,"threshold_uncertainty_score":0.47470245},"labels":[],"label_agreement":null},{"id":"W2996043598","doi":"10.48550/arxiv.1912.10187","title":"Power Control for Massive MIMO Systems with Nonorthogonal Pilots","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Benchmark (surveying); Fading; Computer science; Telecommunications link; Power control; Mathematical optimization; Transmitter power output; Power (physics); Path loss; Throughput; Optimization problem; Convex optimization; Control theory (sociology); Control (management); Regular polygon; Algorithm; Mathematics; Telecommunications; Wireless; Transmitter; Decoding methods","score_opus":0.02214772338333433,"score_gpt":0.15988601641493766,"score_spread":0.13773829303160334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996043598","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":[0.022847239,0.00018437619,0.96932405,0.000006585443,0.0013797156,0.0020164305,0.0003266334,0.00041755964,0.0034973798],"genre_scores_gemma":[0.99694175,0.00003761232,0.0008026186,0.00001148309,0.00011902052,0.000012699203,0.00011456038,0.00011651989,0.0018437521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858576,0.000043446616,0.00024586616,0.0006703869,0.00006375745,0.00039075827],"domain_scores_gemma":[0.9985686,0.00012981925,0.00021895104,0.00066614803,0.00028779273,0.00012868668],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010028831,0.0004356205,0.0005629458,0.000207171,0.00007213852,0.00005656107,0.00037127465,0.00034440638,0.000019316734],"category_scores_gemma":[0.000014320328,0.00047085472,0.00014992223,0.00018456647,0.000050122533,0.00022497067,0.00009308359,0.00035786815,0.0000627218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014311443,0.000018956918,0.0013244802,0.0004968634,0.00030963452,0.000042519743,0.000051330433,0.9922173,0.00003639814,0.00508692,0.00026617877,0.00000628659],"study_design_scores_gemma":[0.0020506412,0.000110824854,0.00013188359,0.00033455234,0.0001628514,0.0000059025674,0.0001742287,0.99551016,0.000022379278,0.0002564755,0.00060359953,0.00063652557],"about_ca_topic_score_codex":0.000020958918,"about_ca_topic_score_gemma":0.000017274635,"teacher_disagreement_score":0.9740945,"about_ca_system_score_codex":0.0003814242,"about_ca_system_score_gemma":0.00009734064,"threshold_uncertainty_score":0.99977434},"labels":[],"label_agreement":null},{"id":"W2996066211","doi":"10.1109/cwit.2019.8929929","title":"Analysis for Massive MIMO Systems with Two-Layer Linear Receive Processing","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"","keywords":"Minimum mean square error; MIMO; Telecommunications link; Interference (communication); Computer science; Detector; Computational complexity theory; Algorithm; Reduction (mathematics); Single antenna interference cancellation; Signal-to-noise ratio (imaging); Dimension (graph theory); Matrix (chemical analysis); Antenna (radio); Mathematics; Telecommunications; Channel (broadcasting); Statistics","score_opus":0.010792875597417848,"score_gpt":0.23990835005478983,"score_spread":0.229115474457372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996066211","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":[0.0082268175,0.00019220565,0.98460287,0.000010618407,0.00016214061,0.0007877839,0.00000950406,0.00034998608,0.005658091],"genre_scores_gemma":[0.9515351,0.0000044435046,0.045277532,0.00000943305,0.00008998776,0.00012212544,0.00003982315,0.00005575481,0.002865786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992167,0.000010832493,0.00022728965,0.00022427637,0.00010476191,0.0002161404],"domain_scores_gemma":[0.99941826,0.000042515432,0.00007301991,0.0002193609,0.00019650793,0.000050358027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007983969,0.0001576974,0.00030116376,0.00017190496,0.00003739757,0.00004467731,0.00008010948,0.000059963957,0.000023265668],"category_scores_gemma":[0.000009283226,0.00012520206,0.000055620418,0.00057881634,0.000008180628,0.00027654757,0.000007408244,0.00006125648,0.000040114814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013196639,0.000004436766,0.0025786476,0.0002168724,0.0002415699,6.2700946e-7,0.00012943475,0.99556243,0.0008988461,0.00011803226,0.00003151416,0.00020440856],"study_design_scores_gemma":[0.00051324716,0.000035970534,0.000047853006,0.0000698373,0.0001613327,0.0000020244104,0.00048537416,0.99684703,0.0011870168,0.0000058696214,0.00043766983,0.00020677666],"about_ca_topic_score_codex":0.000020592195,"about_ca_topic_score_gemma":0.00002813594,"teacher_disagreement_score":0.9433083,"about_ca_system_score_codex":0.000088205525,"about_ca_system_score_gemma":0.00001659336,"threshold_uncertainty_score":0.5105592},"labels":[],"label_agreement":null},{"id":"W2996593624","doi":"10.1109/access.2019.2960025","title":"Comments on “On Favorable Propagation in Massive MIMO Systems and Different Antenna Configurations”","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Computer science; Antenna (radio); 3G MIMO; Telecommunications; Electronic engineering; Engineering; Beamforming","score_opus":0.017318010892987165,"score_gpt":0.2566906122851562,"score_spread":0.23937260139216904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996593624","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":[0.9343191,0.00009206987,0.059546407,0.0000612173,0.0013712337,0.0013894745,0.000016761214,0.00014723555,0.00305654],"genre_scores_gemma":[0.9995265,0.000035040197,0.00002192925,0.00003685249,0.000042220126,0.00010627538,0.000025252442,0.00002752542,0.00017842225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928135,0.00003747015,0.00023015244,0.00018133143,0.00011504533,0.00015463204],"domain_scores_gemma":[0.9996123,0.000058126705,0.0000640134,0.0001906874,0.00003878251,0.000036098445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054430817,0.00014208534,0.00018515595,0.00014273828,0.000032070242,0.00010900021,0.00010442515,0.00006458103,0.000008768482],"category_scores_gemma":[0.0000108027225,0.0001276402,0.000011919147,0.00012890702,0.000008743402,0.00038472944,0.000010089593,0.00010973992,0.000041491698],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026866082,0.000046627705,0.008080557,0.00027883312,0.000017796718,0.0000035270598,0.0001721397,0.9726662,0.017373933,0.0006755891,0.00027574677,0.0003821518],"study_design_scores_gemma":[0.0013943801,0.000121064135,0.008064638,0.0007765114,0.0000076057986,0.000002624075,0.00017865234,0.97225124,0.016640883,0.000076311524,0.0001594167,0.00032667918],"about_ca_topic_score_codex":0.00003243984,"about_ca_topic_score_gemma":0.000015813539,"teacher_disagreement_score":0.06520742,"about_ca_system_score_codex":0.00013582951,"about_ca_system_score_gemma":0.0000050228955,"threshold_uncertainty_score":0.5205016},"labels":[],"label_agreement":null},{"id":"W2997634521","doi":"10.1109/access.2019.2961968","title":"Prioritized Cell Association and Power Control in Uplink Heterogeneous Networks","year":2019,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Macrocell; Computer science; Heterogeneous network; Femtocell; Telecommunications link; Computer network; Base station; Power control; Rayleigh fading; Additive white Gaussian noise; Transmitter power output; User equipment; Cellular network; Channel (broadcasting); Power (physics); Fading; Wireless network; Wireless; Telecommunications; Transmitter","score_opus":0.0042559537657668655,"score_gpt":0.2167393790171483,"score_spread":0.21248342525138142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997634521","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":[0.64189535,0.0006469073,0.3542516,0.000014119612,0.0011843367,0.0005483129,0.0000028317488,0.00017218827,0.0012843335],"genre_scores_gemma":[0.9994602,0.000067585635,0.00019050909,0.000054001437,0.00005551101,0.000013654833,0.0000035264984,0.000029180974,0.00012581286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994065,0.000020738496,0.00018838405,0.00013256582,0.000063997366,0.00018778506],"domain_scores_gemma":[0.99968666,0.00007604532,0.0000558108,0.00011873205,0.00003150631,0.000031260744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010741406,0.00009781097,0.00017363785,0.00005444666,0.000013357928,0.000061135375,0.000088811,0.000119473625,0.000017970737],"category_scores_gemma":[0.000008953308,0.000108771674,0.000018557237,0.00010680499,0.0000030401295,0.00028902874,0.000010817956,0.00011001177,0.000017247732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007795449,0.000005463242,0.029887876,0.000024995457,0.000008728278,0.0000023414732,0.000047969148,0.96829283,0.0014459585,0.000002179752,0.00007656772,0.00019730335],"study_design_scores_gemma":[0.0019697654,0.000013357405,0.0025224595,0.00003318566,0.000007839075,0.0000021088254,0.0000069348835,0.9936343,0.0014230809,0.000033641278,0.00015698202,0.00019637067],"about_ca_topic_score_codex":0.0000094656825,"about_ca_topic_score_gemma":0.000014718082,"teacher_disagreement_score":0.35756484,"about_ca_system_score_codex":0.00013691442,"about_ca_system_score_gemma":0.00000434653,"threshold_uncertainty_score":0.443558},"labels":[],"label_agreement":null},{"id":"W2997842638","doi":"10.1109/mvt.2020.3017152","title":"Topology Optimization for 6G Networks: A Network Information-Theoretic Approach","year":2020,"lang":"en","type":"preprint","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Network topology; Computer science; Interference (communication); Distributed computing; Software deployment; Computer network; Scheme (mathematics); Quality of service; Wireless network; Topology (electrical circuits); Radio resource management; Wireless; Telecommunications; Engineering; Channel (broadcasting); Mathematics","score_opus":0.007999407193165163,"score_gpt":0.21289633494446866,"score_spread":0.2048969277513035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997842638","genre_codex":"methods","genre_gemma":"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":[0.00017848363,0.0014666915,0.98830277,0.00070365204,0.0022469508,0.002496142,0.00006363889,0.0034472232,0.0010944793],"genre_scores_gemma":[0.2199697,0.0010828415,0.7695991,0.0003204748,0.0017206132,0.0034706919,0.0034440572,0.00033034972,0.000062173465],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99759614,0.00005210879,0.00094644394,0.0005614093,0.00014723676,0.00069667795],"domain_scores_gemma":[0.9982638,0.00006592867,0.00035714603,0.0009022964,0.00030803136,0.000102811224],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00024419237,0.0006360742,0.00088076736,0.0004943403,0.00013102725,0.00007373852,0.0006851049,0.0020302727,0.000020242516],"category_scores_gemma":[0.00012785461,0.00071869226,0.00019248122,0.0008816117,0.00022477188,0.0002552928,0.00027227565,0.0011404463,0.000049967824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022147391,0.000015014585,0.000020291274,0.00070504326,0.000161013,0.0000041214116,0.000045881174,0.98509645,0.00003697672,0.0050496184,0.0075992537,0.0012441986],"study_design_scores_gemma":[0.00063680706,0.00006633013,0.0000019307165,0.00012101193,0.00014363884,0.00003698028,0.000027677095,0.9840448,0.00012771142,0.008022136,0.0061556045,0.0006153959],"about_ca_topic_score_codex":0.0000011155332,"about_ca_topic_score_gemma":0.0000014707416,"teacher_disagreement_score":0.21979122,"about_ca_system_score_codex":0.0002195086,"about_ca_system_score_gemma":0.00005858374,"threshold_uncertainty_score":0.99952644},"labels":[],"label_agreement":null},{"id":"W2998039379","doi":"10.1002/ett.3831","title":"Resource allocation in 5G heterogeneous networks with downlink‐uplink decoupled access","year":2019,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Heterogeneous network; Telecommunications link; Computer science; Heuristic; Maximization; Cellular network; Computer network; Interference (communication); Mathematical optimization; Utility maximization; Access network; Wireless; Mathematics; Wireless network; Telecommunications","score_opus":0.010480810230729866,"score_gpt":0.24492500740495385,"score_spread":0.234444197174224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998039379","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":[0.030990412,0.00075821695,0.9612707,0.0007922318,0.00009029249,0.00083182973,0.000004226309,0.003998293,0.0012638326],"genre_scores_gemma":[0.97144574,0.0016088409,0.026285429,0.000020030035,0.0000049878195,0.00043889444,0.00004347183,0.000074709045,0.00007790985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876124,0.0000400172,0.00043602003,0.00030172776,0.000113017224,0.00034799337],"domain_scores_gemma":[0.9980049,0.00016229815,0.00009206699,0.0016459044,0.00006777404,0.000027040292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014459793,0.00026326996,0.00026579926,0.00065997965,0.00019007927,0.000063893625,0.0009816954,0.00024466167,0.000040749183],"category_scores_gemma":[0.000015038408,0.00026881602,0.00005190893,0.0013793395,0.00008098869,0.00039915397,0.000019052679,0.0006867279,0.000038727292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014819957,0.000058056645,0.00024179966,0.000024878735,0.000037860507,6.5158923e-7,0.00007989311,0.9659853,0.0002159134,0.000117773256,0.00001499184,0.033208046],"study_design_scores_gemma":[0.00059154467,0.00007706151,0.0001961122,0.00020575241,0.000023255867,0.000015256872,0.00062786887,0.9909654,0.005279488,0.00013313965,0.00145512,0.0004299749],"about_ca_topic_score_codex":0.000035100034,"about_ca_topic_score_gemma":0.00045121377,"teacher_disagreement_score":0.9404553,"about_ca_system_score_codex":0.0002651129,"about_ca_system_score_gemma":0.00001918143,"threshold_uncertainty_score":0.9999764},"labels":[],"label_agreement":null},{"id":"W2998371050","doi":"10.1186/s13638-019-1625-8","title":"Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding","year":2019,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Precoding; MIMO; Computer science; Measure (data warehouse); Channel (broadcasting); Extremely high frequency; Algorithm; Gaussian; Path loss; Spatial multiplexing; Matrix (chemical analysis); Wireless; Electronic engineering; Telecommunications; Physics; Data mining; Engineering","score_opus":0.03324821351987831,"score_gpt":0.2456079352828103,"score_spread":0.212359721762932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998371050","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":[0.116043955,0.008650977,0.8732645,0.0002966826,0.00037964626,0.0007662517,0.000010017178,0.0001165448,0.000471433],"genre_scores_gemma":[0.96363074,0.0037983803,0.032289,0.000017660179,0.00011778753,0.00003693613,0.000019309959,0.000054302196,0.000035891917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991415,0.00007153191,0.00032493795,0.0001440135,0.000104133935,0.00021385301],"domain_scores_gemma":[0.99899817,0.00022968568,0.00020635904,0.00037021405,0.00010943567,0.00008614995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032257973,0.00018012644,0.00024764615,0.00013173802,0.0003716705,0.0001447834,0.00013153547,0.000049825598,0.000001870799],"category_scores_gemma":[0.000008824543,0.00016035944,0.00003701433,0.00011849726,0.0000346719,0.00028321735,0.000047736055,0.0003079082,0.0000015737978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079128906,0.00003422742,0.000563427,0.00019505387,0.0001895462,0.0000042724573,0.00090007106,0.8685263,0.0018632251,0.0007035569,0.0001086735,0.12683256],"study_design_scores_gemma":[0.0006961728,0.00014101388,0.00010703527,0.0009926929,0.000035703855,0.00019996037,0.00012907987,0.99635774,0.00029975918,0.0002487909,0.0005753489,0.00021670472],"about_ca_topic_score_codex":0.0000010500862,"about_ca_topic_score_gemma":0.0000044696144,"teacher_disagreement_score":0.84758675,"about_ca_system_score_codex":0.000077201476,"about_ca_system_score_gemma":0.000011952243,"threshold_uncertainty_score":0.65392685},"labels":[],"label_agreement":null},{"id":"W2998910091","doi":"10.1109/tmc.2020.2965450","title":"Dynamic Model for Network Selection in Next Generation HetNets With Memory-Affecting Rational Users","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; University of Alberta","funders":"National Research Foundation of Korea","keywords":"Computer science; Heterogeneous network; Evolutionary game theory; Game theory; Wireless network; Network formation; Selection (genetic algorithm); Service (business); Distributed computing; Wireless; Artificial intelligence; Telecommunications; Mathematics","score_opus":0.023076380376729447,"score_gpt":0.23812649483682713,"score_spread":0.2150501144600977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998910091","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":[0.11919624,0.000035908743,0.87914985,0.00001941337,0.00026023036,0.00092339993,0.000005409777,0.00038966732,0.00001985975],"genre_scores_gemma":[0.9051677,0.000006292715,0.09436394,0.000052761367,0.0001507628,0.00015911623,0.000018768218,0.000067007546,0.000013651725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894357,0.00003531984,0.0003250897,0.0003048083,0.000114531125,0.00027666258],"domain_scores_gemma":[0.999622,0.000104676634,0.000065985216,0.00007536646,0.000067764086,0.00006421026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012749631,0.00019857998,0.00019691026,0.00009570264,0.00023263085,0.000053757365,0.000063295105,0.0000883867,0.0000046542996],"category_scores_gemma":[0.0000045577362,0.00022623046,0.000052710824,0.0004581632,0.000011375098,0.00032705232,7.447243e-7,0.00023920626,0.0000032985292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029555613,0.000017245851,0.000014683544,0.000060612834,0.000021647278,4.5117744e-7,0.00063651975,0.9794703,0.011748997,0.0000041017634,0.000026317835,0.007969567],"study_design_scores_gemma":[0.0006864009,0.000118976146,0.000007647607,0.000064959684,0.00001647875,0.0000059816266,0.0001048304,0.9960175,0.0027445196,0.0000063304806,0.000005351874,0.00022099295],"about_ca_topic_score_codex":0.000004490517,"about_ca_topic_score_gemma":0.00019497577,"teacher_disagreement_score":0.78597146,"about_ca_system_score_codex":0.00025374643,"about_ca_system_score_gemma":0.00003278914,"threshold_uncertainty_score":0.9225411},"labels":[],"label_agreement":null},{"id":"W2999280958","doi":"10.1109/jsyst.2019.2961131","title":"A Novel Communication System of High Capacity","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Channel (broadcasting); Interference (communication); Channel capacity; Communications system; Spectral efficiency; Signal-to-noise ratio (imaging); Electronic engineering; Additive white Gaussian noise; Wireless; Systems design; Noise (video); Telecommunications; Engineering","score_opus":0.027041440730982507,"score_gpt":0.2122552468426152,"score_spread":0.1852138061116327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999280958","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":[0.047507107,0.0007808476,0.94881654,0.000036484675,0.0013867953,0.0002467985,0.000029707984,0.0002356522,0.0009600487],"genre_scores_gemma":[0.99240386,0.000034235465,0.007104661,0.000006812691,0.00038254305,0.000010942157,0.0000028928991,0.000041686715,0.000012377835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987655,0.000081959195,0.0006794622,0.000094183815,0.00021069805,0.00016815867],"domain_scores_gemma":[0.99905413,0.000040889918,0.00029313256,0.00025039786,0.00021329906,0.00014816105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028059696,0.00014097184,0.00035099752,0.000073990064,0.00007974298,0.00004421591,0.00026186468,0.00009289011,0.0000034386817],"category_scores_gemma":[0.00003145585,0.00013804612,0.00006392588,0.00021747076,0.000024167628,0.00027061382,0.000012581151,0.00027618886,0.000019375491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005651207,0.000006809427,0.000048047274,0.00056232145,0.00005566186,0.0000022106562,0.00059371715,0.9574927,0.039986335,0.0006183766,0.0005663199,0.00006184219],"study_design_scores_gemma":[0.0016138401,0.000085651474,0.00012366188,0.0014156128,0.00006123788,0.0013552934,0.0012538611,0.981786,0.010799232,0.000018243065,0.0010756552,0.0004117025],"about_ca_topic_score_codex":0.00007364259,"about_ca_topic_score_gemma":0.000003241074,"teacher_disagreement_score":0.94489676,"about_ca_system_score_codex":0.00019011322,"about_ca_system_score_gemma":0.00002049139,"threshold_uncertainty_score":0.56293577},"labels":[],"label_agreement":null},{"id":"W2999371363","doi":"10.1109/tgcn.2020.2995227","title":"System Energy-Efficient Hybrid Beamforming for mmWave Multi-User Systems","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère de l'Enseignement Supérieur et de la Recherche; Fonds Québécois de la Recherche sur la Nature et les Technologies; San Diego State University","keywords":"Precoding; Beamforming; Computer science; Baseband; Algorithm; Zero-forcing precoding; Heuristic; Optimization problem; Energy (signal processing); Efficient energy use; Relaxation (psychology); Subcarrier; Mathematical optimization; Electronic engineering; Mathematics; Telecommunications; MIMO; Bandwidth (computing); Engineering; Electrical engineering; Artificial intelligence; Orthogonal frequency-division multiplexing","score_opus":0.041459971505146034,"score_gpt":0.2511566760758439,"score_spread":0.2096967045706979,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999371363","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":[0.00009954916,0.0060997563,0.9886306,0.00008326741,0.0023043244,0.0012787638,0.00032486016,0.0009353893,0.00024349515],"genre_scores_gemma":[0.95429325,0.0027157133,0.040574238,0.000027371061,0.0003164867,0.0015734944,0.00015168145,0.00018308792,0.00016467806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980698,0.00011596732,0.00078643416,0.00048430281,0.00015999547,0.00038345583],"domain_scores_gemma":[0.9975932,0.00031696772,0.00024408447,0.001533738,0.00014698168,0.00016502172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023951502,0.0004854991,0.0005963699,0.00023693187,0.0006892234,0.00016593354,0.0006544032,0.00027609366,9.2779896e-7],"category_scores_gemma":[6.7399293e-7,0.00055672525,0.00020333524,0.00023027895,0.00007228424,0.0000912418,0.000037383037,0.0007285593,0.0000034811515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000121867315,0.0000392505,0.0000012355991,0.0007424887,0.00019984016,0.0000011308053,0.00023880463,0.9686941,0.00007308053,0.0002326605,0.000051154355,0.02971409],"study_design_scores_gemma":[0.00043082854,0.000030776577,2.6005e-7,0.0014633004,0.00018225113,0.000021512848,0.00024335849,0.9861475,0.0001965035,0.000016902535,0.0107746,0.00049218227],"about_ca_topic_score_codex":0.00030739792,"about_ca_topic_score_gemma":0.00016059975,"teacher_disagreement_score":0.9541937,"about_ca_system_score_codex":0.00039016677,"about_ca_system_score_gemma":0.00004131838,"threshold_uncertainty_score":0.99968845},"labels":[],"label_agreement":null},{"id":"W2999582661","doi":"10.1109/twc.2020.3036894","title":"Stochastic Geometry Analysis of Sojourn Time in Multi-Tier Cellular Networks","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Handover; Stochastic geometry; Poisson point process; Cumulative distribution function; Computer science; Mobility model; Base station; Cellular network; Poisson distribution; Coverage probability; Wireless network; Computer network; Mathematics; Wireless; Probability density function; Statistics; Telecommunications","score_opus":0.029046083452169393,"score_gpt":0.26218790796830127,"score_spread":0.23314182451613188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999582661","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":[0.0029452017,0.00085675094,0.9943523,0.00010451037,0.00033276074,0.0006507845,0.000332119,0.00033935579,0.00008623432],"genre_scores_gemma":[0.98192275,0.00091046584,0.016301947,0.000013187792,0.000016496808,0.00030612393,0.00034489567,0.00011146648,0.000072692266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979383,0.00019977479,0.001006122,0.0003743107,0.00019876835,0.00028276155],"domain_scores_gemma":[0.9966027,0.00035045893,0.00026718748,0.0025067418,0.00014993257,0.00012294059],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019178982,0.00040099106,0.0009471475,0.0015020651,0.0001305027,0.000036772126,0.0011759694,0.0004617423,0.00006220267],"category_scores_gemma":[0.000009312396,0.00050694426,0.00040268106,0.002521175,0.00012453148,0.00012019621,0.000029538469,0.0017024297,0.000025329899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000861151,0.00020926594,0.00000928714,0.000083538325,0.0011018168,9.543309e-7,0.00048836664,0.9950867,0.0012237566,0.000021352922,0.0000105714735,0.0017557412],"study_design_scores_gemma":[0.0003091826,0.000012518812,0.000074003954,0.00023982799,0.0009423487,5.3552674e-7,0.000082462015,0.99735403,0.00058823003,0.00001740201,0.000009509171,0.00036993372],"about_ca_topic_score_codex":0.00010132764,"about_ca_topic_score_gemma":0.00046985372,"teacher_disagreement_score":0.9789775,"about_ca_system_score_codex":0.00033153052,"about_ca_system_score_gemma":0.000058710844,"threshold_uncertainty_score":0.9997382},"labels":[],"label_agreement":null},{"id":"W3002489817","doi":"10.1109/tetci.2019.2926769","title":"Deep Learning Based Hotspot Prediction and Beam Management for Adaptive Virtual Small Cell in 5G Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Emerging Topics in Computational Intelligence","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Western University","funders":"","keywords":"Computer science; Hotspot (geology); Beamforming; Deep learning; Software deployment; Exploit; Convolutional neural network; Artificial intelligence; Base station; Leverage (statistics); Real-time computing; Distributed computing; Machine learning; Computer network; Telecommunications","score_opus":0.02193867506044219,"score_gpt":0.2380964650111936,"score_spread":0.2161577899507514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002489817","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":[0.002554906,0.00007952769,0.99627787,0.00007487954,0.00034381473,0.0004304682,0.0000063850384,0.00013162804,0.00010053311],"genre_scores_gemma":[0.9487053,0.00009061264,0.050918333,0.00006181975,0.000049128714,0.000110950794,0.000013247429,0.00002596926,0.000024597957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991109,0.000028361035,0.0003353138,0.00025568865,0.00009875471,0.00017103364],"domain_scores_gemma":[0.9996145,0.00019404427,0.00003852634,0.000057419973,0.000044948538,0.0000505775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009929406,0.00014566642,0.00013426844,0.00018622843,0.000073840354,0.000019484958,0.00007871931,0.000070509566,0.000007783246],"category_scores_gemma":[0.0000052173714,0.00018788145,0.00003471843,0.00033504533,0.000021772452,0.00010901858,0.0000013288069,0.0002825554,0.0000018527726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004806454,0.00002927319,0.00003268789,0.00006422701,0.00001127248,0.0000024530507,0.00049585087,0.96543425,0.000011624076,0.00020497653,0.000002152021,0.03366317],"study_design_scores_gemma":[0.00027651497,0.00012033604,0.00014806107,0.00007654527,0.000009634687,5.735667e-7,0.00040393008,0.99784636,0.00068142614,0.0002538457,0.00003591351,0.0001468725],"about_ca_topic_score_codex":0.0000073878746,"about_ca_topic_score_gemma":0.000034921333,"teacher_disagreement_score":0.9461504,"about_ca_system_score_codex":0.000119737575,"about_ca_system_score_gemma":0.0000085089005,"threshold_uncertainty_score":0.76615834},"labels":[],"label_agreement":null},{"id":"W3003222185","doi":"10.1109/globalsip45357.2019.8969477","title":"Matrix- and Tensor-Based RFI Detectors for Multi-Antenna Wireless Communications","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Fading; Detector; Electronic engineering; Electromagnetic interference; Interference (communication); Computer science; Channel (broadcasting); Wireless; Tensor (intrinsic definition); Path loss; Telecommunications; Engineering; Mathematics","score_opus":0.023131467054675125,"score_gpt":0.2717018057769575,"score_spread":0.2485703387222824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003222185","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":[0.065262094,0.0002948723,0.9330738,0.000032028194,0.00013508054,0.0006240897,0.000017533612,0.0003600423,0.00020042007],"genre_scores_gemma":[0.83713347,0.000026397385,0.16217794,0.000013124153,0.000008442601,0.00006357767,0.000017952958,0.00003485663,0.0005242494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957615,0.000010147275,0.00015169274,0.00010154524,0.000032886055,0.00012759973],"domain_scores_gemma":[0.99937254,0.00009705802,0.000024547744,0.00041233381,0.00005691048,0.000036609596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053981712,0.00009390357,0.0001243178,0.000058124875,0.000042925305,0.000016496628,0.000121641395,0.000054225686,0.000012275902],"category_scores_gemma":[0.000015479087,0.00009023062,0.000026473906,0.000082438724,0.000018372599,0.00009567145,0.000020491561,0.000052261275,0.000023913177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039572777,0.00013973679,0.028593,0.0012522044,0.00013413123,7.7751673e-7,0.00052967056,0.6718046,0.28384224,0.006083669,0.00040001137,0.007180382],"study_design_scores_gemma":[0.0006414268,0.000015039902,0.00038050508,0.000024774026,0.0000073315377,8.0930107e-7,0.000101251244,0.996061,0.0020204326,0.000007270079,0.0006151135,0.00012499344],"about_ca_topic_score_codex":0.0000125649185,"about_ca_topic_score_gemma":0.000045512406,"teacher_disagreement_score":0.7718714,"about_ca_system_score_codex":0.000033234453,"about_ca_system_score_gemma":0.0000060217903,"threshold_uncertainty_score":0.36794978},"labels":[],"label_agreement":null},{"id":"W3003399302","doi":"10.48550/arxiv.2001.10888","title":"Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Beamforming; Lyapunov optimization; Scheduling (production processes); Smart grid; Mathematical optimization; Grid; Renewable energy; Optimization problem; Distributed computing; Schedule; Real-time computing; Engineering; Algorithm; Telecommunications; Electrical engineering; Mathematics; Lyapunov equation","score_opus":0.026307958941059726,"score_gpt":0.16976589795146876,"score_spread":0.14345793901040904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003399302","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":[0.2901205,0.00035868766,0.7086005,0.000004830499,0.00027683048,0.00018735322,0.000007988625,0.00021587595,0.00022740607],"genre_scores_gemma":[0.9967201,0.0002874567,0.0025672135,0.0000133888425,0.00011123406,0.000002940122,0.000113309994,0.000081386745,0.00010299608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987046,0.00004030198,0.0002535369,0.0006339741,0.000051518207,0.00031604304],"domain_scores_gemma":[0.99928397,0.000038684608,0.00013952481,0.0003255977,0.00008257665,0.00012966021],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000081676306,0.00035402985,0.00036886497,0.00022121076,0.000078520025,0.00007775608,0.0002114162,0.00033537985,0.000009503411],"category_scores_gemma":[0.00001255035,0.00043896632,0.00005976019,0.00038508853,0.00005460477,0.00028588244,0.00024327381,0.00043090878,0.0000024641158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004598832,0.000009728464,0.003627121,0.00012892878,0.000065619985,0.00021603651,0.00009482407,0.9947935,0.0003479019,0.00053299067,0.0000022476347,0.00013511823],"study_design_scores_gemma":[0.00064332836,0.000029583036,0.0000817498,0.00020031672,0.000041351323,0.000008256864,0.00005115902,0.9972144,0.00093400554,0.00025701936,0.00009225311,0.00044662858],"about_ca_topic_score_codex":0.00011356642,"about_ca_topic_score_gemma":0.00016251697,"teacher_disagreement_score":0.70659953,"about_ca_system_score_codex":0.00029314688,"about_ca_system_score_gemma":0.000030432515,"threshold_uncertainty_score":0.9998062},"labels":[],"label_agreement":null},{"id":"W3003504246","doi":"10.1109/globalsip45357.2019.8969422","title":"PCA-Aided Precoding for Correlated MIMO Broadcast Channels","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; MIMO; Channel state information; Transmitter; Spatial correlation; Computer science; Channel (broadcasting); Zero-forcing precoding; Principal component analysis; Uncorrelated; Algorithm; Control theory (sociology); Mathematics; Electronic engineering; Telecommunications; Wireless; Artificial intelligence; Engineering; Statistics","score_opus":0.011881606300492122,"score_gpt":0.21881650882196876,"score_spread":0.20693490252147664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003504246","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":[0.019057924,0.00014149652,0.95986575,0.000015247053,0.0020800394,0.00095960894,0.0000068689333,0.00078332605,0.017089767],"genre_scores_gemma":[0.9756851,0.000014523705,0.01419988,0.00001978231,0.00008998346,0.00006329077,0.00003377814,0.00006372199,0.009829941],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993623,0.000006011524,0.00020545298,0.00015366249,0.00005074357,0.00022183546],"domain_scores_gemma":[0.99964416,0.00005935158,0.000029750816,0.0001730699,0.000049637947,0.000044054654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006783246,0.00012397973,0.00016144622,0.00006705931,0.000026595922,0.000023885606,0.000076424876,0.00008849133,0.00019380813],"category_scores_gemma":[0.000017979211,0.00012494202,0.000044967044,0.000120120545,0.0000043844893,0.00022811521,0.000012478613,0.000061379294,0.00028321505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006824806,0.0000048775255,0.0001485508,0.00009997673,0.000024465786,2.5274895e-7,0.00017497507,0.9889121,0.007170357,0.00041313376,0.0014537739,0.0015907129],"study_design_scores_gemma":[0.00066666125,0.00003165318,0.00001445291,0.00005621626,0.000008276829,0.0000047154417,0.00008780418,0.98363197,0.010776634,0.00009000877,0.0044246404,0.00020697802],"about_ca_topic_score_codex":0.00000454257,"about_ca_topic_score_gemma":0.0000019691652,"teacher_disagreement_score":0.9566272,"about_ca_system_score_codex":0.00006183892,"about_ca_system_score_gemma":0.0000050535596,"threshold_uncertainty_score":0.5094988},"labels":[],"label_agreement":null},{"id":"W3003598188","doi":"10.1109/tcomm.2020.2970058","title":"Enhanced Fairness and Scalability of Power Control Schemes in Multi-Cell Massive MIMO","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Stiftelsen för Strategisk Forskning","keywords":"Scalability; MIMO; Computer science; Power control; Transmitter power output; Convex optimization; Max-min fairness; Optimization problem; Power (physics); Channel (broadcasting); Scheme (mathematics); Spectral efficiency; Mathematical optimization; Fairness measure; Distributed computing; Computer network; Regular polygon; Throughput; Wireless; Algorithm; Resource allocation; Mathematics; Telecommunications","score_opus":0.020502040759090515,"score_gpt":0.25071203277559273,"score_spread":0.23020999201650222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003598188","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":[0.0123075945,0.00034932612,0.98589814,0.00039380437,0.00005947258,0.0004231886,0.000068633846,0.00013342139,0.00036642514],"genre_scores_gemma":[0.97975713,0.00023612655,0.01984173,0.000034455225,0.0000023883142,0.00008527806,0.00000401599,0.000023977685,0.000014880013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992544,0.00007992617,0.00033921713,0.00014598519,0.000063564774,0.00011689722],"domain_scores_gemma":[0.99897784,0.00020309468,0.00005306903,0.0006168662,0.00008216314,0.00006695714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006585983,0.00012476077,0.00021453586,0.00008188804,0.00007012942,0.000009249554,0.00024464284,0.00007884665,0.000019885914],"category_scores_gemma":[0.000015370939,0.00014294249,0.00004429395,0.00030939266,0.00010728159,0.00016983804,0.0000028455715,0.00025473814,0.0000083946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002570093,0.0002548181,0.000048080878,0.000102840044,0.00003110967,2.0285272e-7,0.0018186673,0.9289375,0.066884965,0.000060821156,0.0000065557,0.0018287227],"study_design_scores_gemma":[0.0023015752,0.000062302315,0.0002864936,0.00007345743,0.000031190306,5.990493e-7,0.00092518324,0.86920714,0.12670994,0.000025553083,0.0001342263,0.00024231222],"about_ca_topic_score_codex":0.000012864127,"about_ca_topic_score_gemma":0.00008460538,"teacher_disagreement_score":0.96744955,"about_ca_system_score_codex":0.000053908807,"about_ca_system_score_gemma":0.000017310284,"threshold_uncertainty_score":0.58290255},"labels":[],"label_agreement":null},{"id":"W3004878114","doi":"10.1109/tcomm.2020.2971699","title":"Cross-Layer Scheduling and Beamforming in Smart-Grid Powered Cellular Networks With Heterogeneous Energy Coordination","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Shenzhen University; National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Smart grid; Lyapunov optimization; Scheduling (production processes); Mathematical optimization; Optimization problem; Grid; Renewable energy; Distributed computing; Base station; Schedule; Real-time computing; Engineering; Computer network; Algorithm; Telecommunications; Electrical engineering; Mathematics","score_opus":0.01849001566145168,"score_gpt":0.23330061396054305,"score_spread":0.21481059829909138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004878114","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":[0.011741062,0.0007606412,0.986334,0.00023105316,0.00012889503,0.0002121088,0.000015923191,0.00028299054,0.00029327793],"genre_scores_gemma":[0.9784354,0.00060515024,0.020627463,0.00006946531,0.000026419782,0.000116923846,0.000033107677,0.000057544006,0.0000285125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914694,0.00005222941,0.00031904117,0.00019509444,0.00008737874,0.00019933564],"domain_scores_gemma":[0.9991281,0.00010638637,0.000053718573,0.0005469827,0.000065673376,0.00009912902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069140726,0.00017931769,0.00018033375,0.00012973939,0.00024779222,0.00006302265,0.00024130892,0.00010458406,0.000013502016],"category_scores_gemma":[0.0000043072278,0.00020001222,0.00003581053,0.0004472398,0.000071532,0.00031779186,0.0000047249273,0.00030721066,0.000003946857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016993245,0.000031671996,0.00006072164,0.000016638673,0.000029506598,0.0000014594223,0.00033755318,0.993921,0.0025512204,0.0000521624,0.000002288036,0.0029787805],"study_design_scores_gemma":[0.0005303495,0.00005315065,0.000017945542,0.00006237636,0.000019952742,0.00001015794,0.00008887085,0.9895627,0.008757619,0.000010227502,0.0006746699,0.0002120083],"about_ca_topic_score_codex":0.00005108935,"about_ca_topic_score_gemma":0.00037775305,"teacher_disagreement_score":0.96669436,"about_ca_system_score_codex":0.00009752344,"about_ca_system_score_gemma":0.00001503186,"threshold_uncertainty_score":0.8156262},"labels":[],"label_agreement":null},{"id":"W3004935578","doi":"10.1109/pacrim47961.2019.8985121","title":"Receiver Design and SER Analysis of Massive MIMO Uplink With Mixed-Resolution ADCs","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Telecommunications link; Decoding methods; Converters; MIMO; Computer science; Electronic engineering; Base station; Maximal-ratio combining; Symbol (formal); Bit error rate; Algorithm; Telecommunications; Engineering; Electrical engineering; Beamforming","score_opus":0.006623155863166703,"score_gpt":0.19236146715346208,"score_spread":0.1857383112902954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004935578","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":[0.04109546,0.00010760071,0.9569859,0.000007718473,0.000047189547,0.00022591073,0.000002348837,0.00008336133,0.0014444947],"genre_scores_gemma":[0.89405495,0.00003741938,0.105286315,0.000004856081,0.0000063913467,0.000007678906,0.000012959354,0.00001732758,0.00057208096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995407,0.000017771546,0.00014321419,0.00012855852,0.000067345885,0.00010244286],"domain_scores_gemma":[0.9996491,0.000046259363,0.000043800665,0.00016070064,0.0000699371,0.000030179797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006862983,0.00009136724,0.00019746498,0.00016659427,0.000012169527,0.000006990904,0.00003641883,0.000056125857,0.00009301846],"category_scores_gemma":[0.000004927085,0.00007560932,0.000024462684,0.0003901276,0.000013778451,0.00015724453,0.000008633015,0.00004079609,0.000014870451],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013635617,0.000003655789,0.0024150463,0.000030142432,0.00027503425,4.0506836e-7,0.00009007177,0.9941253,0.002504517,0.00015275953,0.000092502436,0.00029694205],"study_design_scores_gemma":[0.00024494604,0.00003671075,0.0022777345,0.000019094916,0.00016221617,7.786037e-7,0.00009098736,0.9929297,0.0040666154,0.000011320052,0.000050928513,0.00010898548],"about_ca_topic_score_codex":0.000014980098,"about_ca_topic_score_gemma":0.000019921366,"teacher_disagreement_score":0.8529595,"about_ca_system_score_codex":0.000035778492,"about_ca_system_score_gemma":0.000005640843,"threshold_uncertainty_score":0.3083259},"labels":[],"label_agreement":null},{"id":"W3005709115","doi":"10.48550/arxiv.2002.07277","title":"5G Simulation-Based Experimentation Framework for Vertical Performance Assessment","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Key (lock); Computer science; Diversity (politics); Distributed computing; End-to-end principle; Systems engineering; Data science; Computer network; Computer security; Engineering","score_opus":0.07760246389569145,"score_gpt":0.24603953213658183,"score_spread":0.1684370682408904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005709115","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":[0.05137236,0.000022892416,0.94648653,0.00002247394,0.00056649616,0.00069962256,0.000030542025,0.00045381006,0.00034524387],"genre_scores_gemma":[0.96431875,0.000019498966,0.03522383,0.00003778311,0.00012682143,0.000014473188,0.00017230243,0.00006122357,0.000025332683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990131,0.00002920133,0.00021829785,0.00047023426,0.00005747787,0.00021165436],"domain_scores_gemma":[0.999078,0.00028797903,0.000067155386,0.0003561513,0.00010478572,0.000105951054],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000057763624,0.00025399472,0.0002526415,0.00010025695,0.000087017004,0.000036879024,0.00022405955,0.00028122283,0.000032480264],"category_scores_gemma":[0.00005437156,0.0003385412,0.00011223993,0.00020554873,0.000028972412,0.00017871705,0.000057833484,0.00033673728,0.000018250816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039368933,0.000019749168,0.00065621536,0.00032849974,0.00004791432,0.0000040784603,0.00008166916,0.9905313,0.00014541403,0.00802196,0.000018580922,0.00010519991],"study_design_scores_gemma":[0.00046874123,0.000043390697,0.00018642236,0.00014093483,0.00006446018,6.489645e-8,0.0000674866,0.9942722,0.0014316749,0.0029203226,0.0000775164,0.0003267867],"about_ca_topic_score_codex":0.0000024222857,"about_ca_topic_score_gemma":0.0000013188645,"teacher_disagreement_score":0.9129464,"about_ca_system_score_codex":0.0004934378,"about_ca_system_score_gemma":0.000074920536,"threshold_uncertainty_score":0.99990666},"labels":[],"label_agreement":null},{"id":"W3005755629","doi":"10.48550/arxiv.2002.04167","title":"Joint Beamforming And Power Splitting Design For C-RAN With Multicast Fronthaul","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Beamforming; Multicast; Computer science; Transmitter power output; Base station; C-RAN; Relaxation (psychology); Mathematical optimization; Radio access network; Maximization; Computer network; Mathematics; Telecommunications; Transmitter; Mobile station","score_opus":0.06788788858770137,"score_gpt":0.17323329562702355,"score_spread":0.10534540703932219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005755629","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":[0.016022326,0.000105973966,0.9816713,0.000015893127,0.00014913974,0.00095486647,0.000029566454,0.0003835015,0.00066745403],"genre_scores_gemma":[0.9041027,0.000042123746,0.09550033,0.0000115938155,0.00005454993,0.0000054469774,0.0000243475,0.000084466075,0.00017445319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988825,0.000026477448,0.00019970728,0.0005700502,0.000037155205,0.00028411133],"domain_scores_gemma":[0.9992297,0.00010538456,0.00012161868,0.0003127271,0.00008555548,0.00014497782],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011452144,0.00032421615,0.0003779036,0.00012087337,0.000098135366,0.000044796594,0.00016653085,0.00019719367,0.000013892348],"category_scores_gemma":[0.000051438645,0.00036612476,0.00007346064,0.0001389775,0.000048569927,0.00021575052,0.000170105,0.000311502,0.000010383735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057240166,0.000007834229,0.000086133616,0.00042684816,0.00010606937,0.000037830807,0.0003929318,0.99787337,0.00031094757,0.00052696466,0.000037342917,0.00013647656],"study_design_scores_gemma":[0.00079163647,0.00006418339,0.000027788721,0.00027954704,0.0001146199,0.0000056197036,0.0004884349,0.9962527,0.00058617955,0.0007416886,0.00019436957,0.00045319204],"about_ca_topic_score_codex":0.000011270704,"about_ca_topic_score_gemma":0.000006710035,"teacher_disagreement_score":0.88808036,"about_ca_system_score_codex":0.00018506258,"about_ca_system_score_gemma":0.000034230725,"threshold_uncertainty_score":0.99987906},"labels":[],"label_agreement":null},{"id":"W3006274993","doi":"10.48550/arxiv.2002.04169","title":"Edge Cache-assisted Secure Low-Latency Millimeter Wave Transmission","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Beamforming; Cache; Transmission (telecommunications); Transmitter power output; Radio access network; Computer network; Channel state information; Enhanced Data Rates for GSM Evolution; Optimization problem; Multicast; Channel (broadcasting); Wireless; Base station; Algorithm; Transmitter; Telecommunications","score_opus":0.05472190957203155,"score_gpt":0.16983525203172392,"score_spread":0.11511334245969237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006274993","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":[0.03563374,0.00037852576,0.957123,0.000037223475,0.0007721445,0.00057507266,0.00006748684,0.0009626955,0.0044501154],"genre_scores_gemma":[0.9947198,0.00050797296,0.0033272663,0.000025254485,0.00013122836,0.0000023370133,0.00020924478,0.00012084195,0.0009560537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832845,0.00007827662,0.00031991905,0.0008296707,0.00007227461,0.00037140443],"domain_scores_gemma":[0.9988272,0.00004077755,0.00012803328,0.0006230068,0.000109527275,0.00027142026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000067479996,0.00050467934,0.00050315546,0.00021005372,0.00008884962,0.00003720933,0.00039824462,0.00061449525,0.0001405194],"category_scores_gemma":[0.000013969368,0.0006043944,0.00027116144,0.0004857358,0.000046471047,0.00022369307,0.00021004201,0.00082323875,0.000105385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034938414,0.000030424837,0.00006961917,0.00075376406,0.00016345145,0.00033538358,0.00041993236,0.99395984,0.002287944,0.00046483634,0.0005176931,0.0009621917],"study_design_scores_gemma":[0.0007049894,0.000031187217,0.00018699079,0.0004418979,0.00020620739,0.0000085873235,0.000095733405,0.9928364,0.0017085989,0.0018480051,0.0011094114,0.000821963],"about_ca_topic_score_codex":0.000025963693,"about_ca_topic_score_gemma":0.000010585429,"teacher_disagreement_score":0.95908606,"about_ca_system_score_codex":0.00036683847,"about_ca_system_score_gemma":0.00006162456,"threshold_uncertainty_score":0.99964076},"labels":[],"label_agreement":null},{"id":"W3006316852","doi":"10.1109/tsp.2020.2973488","title":"New Viewpoint and Algorithms for Water-Filling Solutions in Wireless Communications","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Algorithm; Wireless; Computation; Channel (broadcasting); Analogy; Mathematical optimization; Mathematics; Telecommunications","score_opus":0.046883573887563514,"score_gpt":0.26429884937578,"score_spread":0.21741527548821651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006316852","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":[0.00042623442,0.00047326318,0.9974492,0.0008475046,0.00006452381,0.000359361,0.000013836655,0.00026445097,0.00010161234],"genre_scores_gemma":[0.93284017,0.0001698559,0.066687465,0.00008043278,0.000047283727,0.00010014146,0.0000087604,0.000045618555,0.00002024709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991633,0.000021532465,0.00030768223,0.00019169375,0.0000732926,0.00024249214],"domain_scores_gemma":[0.99961656,0.000063707485,0.000027621043,0.00013146039,0.000048086098,0.000112547306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001010728,0.0001481983,0.00018662678,0.00010237201,0.0002578587,0.00005422281,0.00012986851,0.000074822594,0.000008488779],"category_scores_gemma":[0.0000018568436,0.00014757029,0.000039854207,0.00023159065,0.000031066047,0.00035336663,0.0000020035714,0.00022796975,0.00000591488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011213436,0.000016962884,8.858751e-7,0.00018752598,0.000010543175,4.140652e-7,0.0013170847,0.80479944,0.019843705,0.000021738271,0.00001377179,0.17377673],"study_design_scores_gemma":[0.00046313446,0.000034191682,0.0000013748634,0.00016644715,0.000021294156,0.000004123633,0.00018450891,0.9591334,0.039397907,0.00014551931,0.00027170367,0.00017638765],"about_ca_topic_score_codex":0.0000093987655,"about_ca_topic_score_gemma":0.000034130662,"teacher_disagreement_score":0.93241394,"about_ca_system_score_codex":0.00007089604,"about_ca_system_score_gemma":0.000030153526,"threshold_uncertainty_score":0.6017742},"labels":[],"label_agreement":null},{"id":"W3007600769","doi":"10.1109/tcomm.2020.2974738","title":"A Deep Reinforcement Learning-Based Transcoder Selection Framework for Blockchain-Enabled Wireless D2D Transcoding","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Carleton University","funders":"National Natural Science Foundation of China","keywords":"Transcoding; Computer science; Reinforcement learning; Quality of service; Scheduling (production processes); Distributed computing; Real-time computing; Computer network; Artificial intelligence; Engineering","score_opus":0.02848112148239362,"score_gpt":0.26233327802611983,"score_spread":0.2338521565437262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007600769","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":[0.00033008264,0.0001374229,0.99531436,0.0014900555,0.00018930271,0.0010983301,0.000013312831,0.0011393684,0.00028775248],"genre_scores_gemma":[0.93332607,0.00014509785,0.06509188,0.00020150117,0.000047805606,0.0009873281,0.00003152929,0.00011159425,0.0000572035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986212,0.00009771988,0.00050727744,0.00027210452,0.00016248257,0.00033920544],"domain_scores_gemma":[0.9985554,0.0004595801,0.00008074227,0.00059732614,0.0001466248,0.00016031074],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012530635,0.00028455627,0.00029061153,0.00017051942,0.0006909977,0.000050566312,0.00044118962,0.00020300629,0.00007411353],"category_scores_gemma":[0.000011574599,0.00034619015,0.00020633609,0.0006948366,0.000058524947,0.000106480984,0.0000011440372,0.0007225659,0.000022722203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059758728,0.00006616141,0.0000018977638,0.00013098962,0.00009262083,1.4343497e-7,0.0014754218,0.9898745,0.0043573924,0.0004739139,0.000016044192,0.0034512035],"study_design_scores_gemma":[0.0008508658,0.00016405572,6.7639235e-7,0.0001111832,0.00010608084,0.0000015434307,0.00030234997,0.975694,0.0214895,0.00011778623,0.00083784055,0.000324123],"about_ca_topic_score_codex":0.000010085756,"about_ca_topic_score_gemma":0.00008363485,"teacher_disagreement_score":0.932996,"about_ca_system_score_codex":0.00019690537,"about_ca_system_score_gemma":0.000046785375,"threshold_uncertainty_score":0.999899},"labels":[],"label_agreement":null},{"id":"W3008478511","doi":"10.1109/access.2020.2974812","title":"Dynamic Resource Allocation With RAN Slicing and Scheduling for uRLLC and eMBB Hybrid Services","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Science and Technology Project of State Grid; Fundamental Research Funds for the Central Universities","keywords":"Computer science; Lyapunov optimization; Quality of service; Slicing; Scheduling (production processes); Telecommunications link; Distributed computing; Power control; Latency (audio); Bandwidth allocation; Computer network; Mathematical optimization; Power (physics); Telecommunications","score_opus":0.010341350480528063,"score_gpt":0.2400725103660501,"score_spread":0.22973115988552203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008478511","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":[0.44664764,0.0002932492,0.55248725,0.00010617423,0.000032952157,0.00023808338,0.00000397056,0.00013902316,0.000051640596],"genre_scores_gemma":[0.98781496,0.000040218623,0.011866098,0.0001206182,0.000058292382,0.00003349779,0.00001824948,0.000041394105,0.000006668819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995067,0.00000730588,0.00012969376,0.00018061507,0.000052739542,0.00012292186],"domain_scores_gemma":[0.9997361,0.000042566393,0.000042293217,0.00008468929,0.000033979562,0.000060430102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004855272,0.00010806712,0.00012752893,0.000036851652,0.00006822002,0.00010235769,0.00008970674,0.000028119628,6.7802205e-7],"category_scores_gemma":[0.000008889707,0.000105675506,0.000007965672,0.00009933549,0.000011881357,0.0004925077,0.000017805263,0.000056362238,5.567238e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028209213,0.0000017750806,0.00058309716,0.0007745504,0.000020964284,0.0000011081712,0.0007103304,0.98891217,0.0066122473,0.000013213963,0.0000100668785,0.0023323],"study_design_scores_gemma":[0.00052015105,0.000024673767,0.0001660564,0.00011894043,0.00002081969,0.0000070062933,0.00025067493,0.9932579,0.0052733156,0.000025381316,0.00019244,0.0001426441],"about_ca_topic_score_codex":0.000012211015,"about_ca_topic_score_gemma":0.000038007394,"teacher_disagreement_score":0.5411673,"about_ca_system_score_codex":0.00001854227,"about_ca_system_score_gemma":0.0000041178905,"threshold_uncertainty_score":0.4309322},"labels":[],"label_agreement":null},{"id":"W3009197653","doi":"10.1109/globecom38437.2019.9014032","title":"Reinforcement Learning-Based Joint Power and Resource Allocation for URLLC in 5G","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Reinforcement learning; Scheduling (production processes); Latency (audio); Mobile broadband; Orthogonal frequency-division multiplexing; Computer network; Wireless; Distributed computing; Resource allocation; Reliability (semiconductor); Radio resource management; Wireless network; Channel (broadcasting); Power (physics); Mathematical optimization; Telecommunications; Artificial intelligence","score_opus":0.006733402016300032,"score_gpt":0.20293631640339727,"score_spread":0.19620291438709722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009197653","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":[0.020711737,0.000055488657,0.9669113,0.00006158058,0.000068497255,0.00062876317,3.0285278e-7,0.00015861575,0.011403714],"genre_scores_gemma":[0.9942695,0.0000029663074,0.0036977145,0.000040242998,0.0000083625055,0.000043792505,0.000021287864,0.000021206077,0.0018949293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995729,0.000007230587,0.00016114378,0.00009971132,0.000046856123,0.0001122051],"domain_scores_gemma":[0.99980915,0.000028075967,0.000023007564,0.00009650466,0.000021154101,0.000022097904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114614195,0.000069866124,0.00008770096,0.00007399946,0.000013058448,0.000011223825,0.00002316593,0.000041395677,0.000044827822],"category_scores_gemma":[0.000025309713,0.00007087413,0.000013364838,0.00006271066,0.0000040903988,0.00008135045,0.0000049771056,0.00005036462,0.000015649177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070215724,0.000002287893,0.00028096017,0.00005633399,0.0000027171534,7.0289715e-8,0.00011249643,0.99622446,0.0025525438,0.00036586265,0.00013234066,0.00026289801],"study_design_scores_gemma":[0.00065948453,0.00005920513,0.00029200292,0.000038501785,0.0000016436438,3.590777e-7,0.00014006335,0.98640424,0.0043092696,0.0000120653,0.007982119,0.00010106978],"about_ca_topic_score_codex":0.000009387201,"about_ca_topic_score_gemma":0.000010344139,"teacher_disagreement_score":0.9735578,"about_ca_system_score_codex":0.00006818872,"about_ca_system_score_gemma":0.000005351474,"threshold_uncertainty_score":0.2890163},"labels":[],"label_agreement":null},{"id":"W3009319064","doi":"10.1109/globecom38437.2019.9014236","title":"Joint Precoding and Power Control in Small-Cell Networks with Proportional-Rate MISO-BC Backhaul","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Precoding; Backhaul (telecommunications); Transmitter power output; Mathematical optimization; Optimization problem; Computer science; Power control; Benchmark (surveying); Convex optimization; Regular polygon; Control theory (sociology); Power (physics); Mathematics; Control (management); Computer network; Base station; Telecommunications; Beamforming; MIMO","score_opus":0.005183998896188968,"score_gpt":0.1679857657897522,"score_spread":0.1628017668935632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009319064","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":[0.2128016,0.00024468065,0.7704836,0.0000305966,0.00015699644,0.0008125607,0.0000013851904,0.00017358897,0.015294951],"genre_scores_gemma":[0.99056,0.000025212605,0.007905537,0.000040815085,0.000021750971,0.000020425518,0.0000061462197,0.00003642013,0.001383719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993365,0.000017160002,0.00022742154,0.00017578003,0.00004367591,0.00019945741],"domain_scores_gemma":[0.99971336,0.000029593783,0.000043504333,0.0001296281,0.000036625996,0.000047314952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013818714,0.00013336852,0.00018179491,0.00006117036,0.000014599972,0.000025563355,0.000035421617,0.000066286535,0.0001332256],"category_scores_gemma":[0.0000045972884,0.00011075896,0.000014057355,0.00010176721,0.000009618062,0.00015953947,0.000010186753,0.000099111756,0.000021649696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014861366,0.0000097977,0.0106530255,0.00005495902,0.000011461484,0.0000028718837,0.000062928964,0.987318,0.0016075978,0.000109825174,0.00007019545,0.000084523876],"study_design_scores_gemma":[0.0015895761,0.00005403117,0.0025263466,0.00009473273,0.0000065153095,0.000008099179,0.0001093375,0.9946231,0.0005874874,0.00002369194,0.00015414723,0.00022291632],"about_ca_topic_score_codex":0.000012701072,"about_ca_topic_score_gemma":0.00008753608,"teacher_disagreement_score":0.77775836,"about_ca_system_score_codex":0.000050407572,"about_ca_system_score_gemma":0.000009695499,"threshold_uncertainty_score":0.45166194},"labels":[],"label_agreement":null},{"id":"W3009520446","doi":"10.1109/access.2020.2977406","title":"5G is Real: Evaluating the Compliance of the 3GPP 5G New Radio System With the ITU IMT-2020 Requirements","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"3rd Generation Partnership Project 2; Computer science; Mobile broadband; IMT Advanced; Broadband; Computer network; Mobile telephony; Base station; Low latency (capital markets); Telecommunications; Cellular network; Reliability (semiconductor); Mobile radio; Wireless; Mobile station; Telecommunications link","score_opus":0.10896987556260535,"score_gpt":0.3410574005010647,"score_spread":0.23208752493845936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009520446","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":[0.16220061,0.0021597545,0.79907393,0.008745961,0.0031523788,0.0052815373,0.00006737023,0.0011240479,0.018194424],"genre_scores_gemma":[0.9985607,0.000028902894,0.00052161585,0.000281738,0.00034863062,0.000051323797,0.000001995381,0.000058961356,0.00014609551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986708,0.00010333635,0.00036622683,0.00023096155,0.00040195894,0.00022667654],"domain_scores_gemma":[0.9988569,0.000102059006,0.0002491724,0.00062266726,0.00010885027,0.000060366056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024267616,0.0001938034,0.00024007693,0.000013092718,0.00018187737,0.000094421965,0.0010784653,0.000046953606,0.000010412364],"category_scores_gemma":[0.000031466865,0.00009933636,0.00005751285,0.00056146184,0.000054506778,0.00034907166,0.00005596671,0.00018975466,0.000014074302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034843684,0.0000047800095,0.0012761924,0.00048639832,0.0001154275,0.0000018917174,0.0028279815,0.97460425,0.010429176,0.0001459789,0.008860898,0.0012121785],"study_design_scores_gemma":[0.0012927867,0.0001115104,0.0024859698,0.0011832361,0.00016601173,0.000021359228,0.0013748698,0.9620922,0.029747054,0.000040168128,0.0010564704,0.0004283268],"about_ca_topic_score_codex":0.00016785608,"about_ca_topic_score_gemma":0.000041508858,"teacher_disagreement_score":0.8363601,"about_ca_system_score_codex":0.000109947934,"about_ca_system_score_gemma":0.0000533044,"threshold_uncertainty_score":0.40508193},"labels":[],"label_agreement":null},{"id":"W3009644280","doi":"10.1109/globecom38437.2019.9013124","title":"Online Downlink MIMO Wireless Network Virtualization in Fading Environments","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"","keywords":"Precoding; Telecommunications link; Computer science; Fading; MIMO; Computer network; Base station; Channel state information; Virtualization; Zero-forcing precoding; Multi-user MIMO; Wireless; Wireless network; Channel (broadcasting); Telecommunications; Cloud computing","score_opus":0.006108063862550911,"score_gpt":0.20315811703339132,"score_spread":0.1970500531708404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009644280","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":[0.2592923,0.00011221157,0.73598117,0.000007917542,0.0004749311,0.00033273586,0.000003660447,0.00019845027,0.0035965983],"genre_scores_gemma":[0.9923327,0.00010204788,0.0064106737,0.000036646263,0.00009565768,0.000009625707,0.00010853947,0.0000418955,0.000862191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929094,0.000017173488,0.0002511047,0.00015238528,0.00008211452,0.00020627845],"domain_scores_gemma":[0.9997379,0.000024680814,0.00002990736,0.0001708339,0.000004844086,0.00003179144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006754077,0.00011822769,0.00014661656,0.00006452927,0.000014238479,0.000010784293,0.000074467374,0.00008215591,0.0001238075],"category_scores_gemma":[0.0000042837387,0.00012638235,0.000018075621,0.00020345168,0.0000056737977,0.00022533571,0.000020455378,0.00008494315,0.00016213444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018077484,0.000014089572,0.007691672,0.000019502413,0.0000057238694,7.750525e-7,0.000073792646,0.98737454,0.0029048622,0.00032916758,0.00007153755,0.0015125173],"study_design_scores_gemma":[0.0004265411,0.000011686306,0.0018285818,0.00007099134,0.0000027400622,0.0000012332905,0.0000837072,0.99530226,0.0006659982,0.00007916621,0.001337349,0.00018974667],"about_ca_topic_score_codex":0.0000081286435,"about_ca_topic_score_gemma":0.000043215325,"teacher_disagreement_score":0.7330404,"about_ca_system_score_codex":0.00012823417,"about_ca_system_score_gemma":0.0000029220043,"threshold_uncertainty_score":0.5153723},"labels":[],"label_agreement":null},{"id":"W3009899476","doi":"10.1109/globecom38437.2019.9013886","title":"A Novel Approach for Performance Analysis of IoT Enabled Uplink Network with Matérn Cluster Process","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Stochastic geometry; Telecommunications link; Poisson point process; Point process; Base station; Voronoi diagram; Coverage probability; Poisson distribution; Cluster (spacecraft); Process (computing); Focus (optics); Algorithm; Computer network; Mathematics; Statistics","score_opus":0.007285393517334608,"score_gpt":0.20155318785009965,"score_spread":0.19426779433276503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009899476","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":[0.058514282,0.000026426671,0.9355246,0.0000023303073,0.0000382496,0.0006759144,0.0000035271714,0.00011837889,0.00509629],"genre_scores_gemma":[0.75676215,0.0000023536147,0.24220993,0.000011168327,0.000031575903,0.00009463049,0.00004247756,0.000031878582,0.00081381743],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930423,0.000002705687,0.00023287351,0.00016722013,0.000082283,0.00021067575],"domain_scores_gemma":[0.9995361,0.000026789714,0.00006804981,0.00022771796,0.0001132813,0.000028069297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000110177556,0.00012691748,0.00031661845,0.000118082986,0.000020944266,0.0000104021865,0.0000985629,0.00006152873,0.00002210517],"category_scores_gemma":[0.0000030537005,0.00009916998,0.00004871065,0.00080511306,0.000008646212,0.0001270969,0.000010125602,0.00004975249,0.0000024828773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040117367,0.000014942755,0.0046894425,0.0005700083,0.00033667684,1.2576971e-8,0.00011144545,0.99376684,0.00025058805,0.00006657208,0.000024514255,0.00012886045],"study_design_scores_gemma":[0.00060372264,0.00003954522,0.00032077558,0.000028754941,0.0001883981,0.0000010477528,0.000069642025,0.9979369,0.0006392746,0.0000019802008,0.000025677846,0.00014427074],"about_ca_topic_score_codex":0.0000030083536,"about_ca_topic_score_gemma":0.000006367241,"teacher_disagreement_score":0.6982479,"about_ca_system_score_codex":0.000029503326,"about_ca_system_score_gemma":0.000010621874,"threshold_uncertainty_score":0.40440342},"labels":[],"label_agreement":null},{"id":"W3010044096","doi":"10.1049/iet-spr.2019.0247","title":"Joint beamforming and admission control for cache‐enabled Cloud‐RAN with limited fronthaul capacity","year":2020,"lang":"en","type":"article","venue":"IET Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute of Population and Public Health; Engineering and Physical Sciences Research Council; King Saud University","keywords":"Computer science; C-RAN; Radio access network; Cache; Cloud computing; Telecommunications link; Beamforming; Admission control; Computer network; Power control; Integer programming; Quality of service; Optimization problem; Real-time computing; Power (physics); Base station; Telecommunications; Algorithm","score_opus":0.020051422122363834,"score_gpt":0.20852550136964096,"score_spread":0.18847407924727713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010044096","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":[0.032310538,0.0006363245,0.9656629,0.00016132611,0.00004349078,0.0005834635,0.000015218467,0.00037823681,0.00020850671],"genre_scores_gemma":[0.96057504,0.0000050766384,0.038876474,0.00014477142,0.00024000199,0.000058483423,0.000014643891,0.00006968599,0.000015811744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999012,0.000016221351,0.0002855506,0.00026309927,0.0001276024,0.00029552545],"domain_scores_gemma":[0.99946076,0.000052753097,0.00010046647,0.00007315028,0.00011186805,0.00020100581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012088135,0.00022135138,0.00031773458,0.000047174344,0.00018071222,0.00007852727,0.00006515078,0.00009675066,0.000008064641],"category_scores_gemma":[0.00006469199,0.00019248336,0.000032394724,0.00016030282,0.00003051412,0.00045116828,0.000011572342,0.00016472895,0.0000013370487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003069266,0.00001792217,0.00021060472,0.0017096134,0.0000628045,0.000006467606,0.0028031142,0.8371309,0.14361863,0.000020482825,0.00020229054,0.01391022],"study_design_scores_gemma":[0.0020549127,0.0001458173,0.000019852014,0.0003486418,0.000057032426,0.000013484435,0.00035554726,0.97507423,0.021039406,0.00008832564,0.00050551485,0.00029724126],"about_ca_topic_score_codex":0.0000059466524,"about_ca_topic_score_gemma":0.0000038958697,"teacher_disagreement_score":0.9282645,"about_ca_system_score_codex":0.00006377331,"about_ca_system_score_gemma":0.00003740579,"threshold_uncertainty_score":0.7849244},"labels":[],"label_agreement":null},{"id":"W3010446318","doi":"10.1109/jiot.2020.2977606","title":"Access Point Association in Uplink Two-Hop Cellular IoT Networks With Data Aggregators","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Data aggregator; Cellular network; Telecommunications link; Quality of service; Distributed computing; Energy consumption; Wireless sensor network","score_opus":0.020971858410708828,"score_gpt":0.2488768522773441,"score_spread":0.22790499386663526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010446318","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":[0.08863145,0.0003529392,0.90962815,0.00026066188,0.00068323745,0.00013138092,0.0000024486324,0.000084951906,0.00022478816],"genre_scores_gemma":[0.9908048,0.000066970984,0.008469658,0.0001701666,0.00038014184,0.0000020927303,0.00001347718,0.00005358234,0.000039113027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987019,0.000046337445,0.00057240983,0.00019239126,0.00024028143,0.00024672184],"domain_scores_gemma":[0.99903566,0.00006149743,0.00046071212,0.00021555254,0.00010725009,0.000119328724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004699664,0.00017028122,0.0002986096,0.00011097063,0.000020833082,0.00013578708,0.0007589278,0.00010206436,0.000031815922],"category_scores_gemma":[0.00011706578,0.00015766776,0.000040970874,0.0002590879,0.00001350938,0.0011031767,0.00009425617,0.0006738084,0.0000051687207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039159644,0.000011316751,0.0048372,0.00004285685,0.00008912968,0.000037273116,0.0010247864,0.98903567,0.0015022095,0.0000062334884,0.0025170695,0.0008571198],"study_design_scores_gemma":[0.00075912406,0.00005094296,0.000043876906,0.00039890097,0.000025638334,0.000032023854,0.00006628985,0.9897004,0.0085085435,0.00003374387,0.00020751094,0.00017305727],"about_ca_topic_score_codex":0.000052410465,"about_ca_topic_score_gemma":0.000018084462,"teacher_disagreement_score":0.90217334,"about_ca_system_score_codex":0.00027647344,"about_ca_system_score_gemma":0.000024219877,"threshold_uncertainty_score":0.6429505},"labels":[],"label_agreement":null},{"id":"W3011208115","doi":"10.1109/lcomm.2019.2958996","title":"Power Control for Massive MIMO Systems with Nonorthogonal Pilots","year":2019,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"MIMO; Power control; Computer science; Power (physics); Telecommunications; Control (management); Computer network; Channel (broadcasting); Artificial intelligence; Physics","score_opus":0.010197049974815398,"score_gpt":0.22118763950085205,"score_spread":0.21099058952603664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011208115","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":[0.02487284,0.00042382974,0.96886826,0.0010775416,0.000620212,0.0016982894,0.000091930975,0.00033773246,0.002009396],"genre_scores_gemma":[0.98452103,0.000018327786,0.014555932,0.00027616406,0.000041114527,0.0003486489,0.00006161092,0.000065055436,0.000112105765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992414,0.000046973695,0.0002544717,0.00014813559,0.00009114092,0.00021784633],"domain_scores_gemma":[0.99822676,0.0002422445,0.000086997665,0.0012844396,0.00010972672,0.000049818722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009781927,0.0001596936,0.00021140628,0.00009282718,0.00010383603,0.000046206136,0.00048497977,0.000051283478,0.000008087896],"category_scores_gemma":[0.000008454846,0.00015440049,0.000046535548,0.00014036028,0.00005506716,0.00023011849,0.000017958637,0.00013979377,0.00008071691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001887372,0.00001660261,0.0007940819,0.00005831506,0.000097075485,4.4206024e-7,0.00014881098,0.9802686,0.01578274,0.0006707029,0.0021008495,0.000042883825],"study_design_scores_gemma":[0.0041617365,0.00015865287,0.0007136421,0.00031909122,0.000082652696,0.000029036022,0.0004205067,0.9615079,0.0005582448,0.000019835556,0.031178897,0.0008498107],"about_ca_topic_score_codex":0.000007780313,"about_ca_topic_score_gemma":0.000011205779,"teacher_disagreement_score":0.9596482,"about_ca_system_score_codex":0.00011710494,"about_ca_system_score_gemma":0.000015208139,"threshold_uncertainty_score":0.6296269},"labels":[],"label_agreement":null},{"id":"W3011770345","doi":"10.1109/mcom.001.1900533","title":"Big-Data-Driven and AI-Based Framework to Enable Personalization in Wireless Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Personalization; Wireless network; Quality of service; Big data; Distributed computing; Context (archaeology); Computer network; Wireless; World Wide Web; Data mining; Telecommunications","score_opus":0.04845509283027705,"score_gpt":0.27644183517678567,"score_spread":0.22798674234650862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011770345","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":[0.0011733022,0.00065147766,0.9939747,0.0028767549,0.00017120974,0.0003763165,0.000029602177,0.0002620691,0.00048460122],"genre_scores_gemma":[0.9406422,0.00041256196,0.0575426,0.0008235163,0.00014726374,0.00007389716,0.0002887793,0.00005014317,0.00001905205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991816,0.0000711889,0.0002794848,0.00021292605,0.000078007426,0.00017673554],"domain_scores_gemma":[0.9983599,0.00014546806,0.000039358907,0.0012702823,0.00007125985,0.00011373761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010423499,0.0001391281,0.00018745185,0.000102834056,0.00007926157,0.000048713893,0.000673334,0.00009628362,0.000008818273],"category_scores_gemma":[0.000092459166,0.00016754023,0.000014192027,0.00080449553,0.000039864342,0.00021603433,0.000168266,0.0002755117,0.000039108505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006664933,0.000019753497,0.00095726445,0.00005549925,0.000007741939,8.480162e-7,0.00036574213,0.99238497,0.00086436584,0.00032393137,0.002304167,0.0027090323],"study_design_scores_gemma":[0.0002343903,0.000016436126,0.0001912824,0.000122053134,0.000009580654,8.8308377e-7,0.000037675673,0.99114877,0.0000715175,0.000046483136,0.007952702,0.00016824991],"about_ca_topic_score_codex":0.000010732771,"about_ca_topic_score_gemma":0.00018500119,"teacher_disagreement_score":0.93946886,"about_ca_system_score_codex":0.00006844151,"about_ca_system_score_gemma":0.000021505,"threshold_uncertainty_score":0.68320924},"labels":[],"label_agreement":null},{"id":"W3011857286","doi":"10.1109/gcwkshps45667.2019.9024527","title":"Multi Objective Resource Allocation for Joint eMBB and URLLC Traffic with Different QoS Requirements","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Computer network; Telecommunications link; Cellular network; Mobile broadband; Latency (audio); Reliability (semiconductor); Resource allocation; Distributed computing; Wireless; Telecommunications","score_opus":0.0157376100380902,"score_gpt":0.22398835753921315,"score_spread":0.20825074750112293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011857286","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":[0.34077188,0.000056368775,0.6571055,0.00001604856,0.00010555368,0.0010793858,0.0000034148525,0.00021672997,0.00064513256],"genre_scores_gemma":[0.9771025,0.0000071398167,0.02156635,0.000014421404,0.000033723223,0.00010757269,0.000025906696,0.00004176776,0.0011006166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994245,0.0000099744075,0.00015616408,0.00018630347,0.00007324503,0.00014978656],"domain_scores_gemma":[0.99970454,0.000024749996,0.000035513473,0.00014977019,0.00004431182,0.00004111976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049360755,0.00013077013,0.00014652865,0.00005529595,0.0000308422,0.00001898444,0.00003547552,0.000045516193,0.00001013885],"category_scores_gemma":[0.00000942187,0.000104043116,0.000017008822,0.000055017874,0.0000096817685,0.00014440583,0.000010125727,0.000043758257,0.000006182799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039613788,0.00003141517,0.0004507295,0.00019837018,0.00005951176,2.4391264e-7,0.0009106662,0.97840625,0.016829865,0.0001036907,0.00015636592,0.0028132836],"study_design_scores_gemma":[0.0018358808,0.00016168345,0.0018826963,0.00009810619,0.000019182742,0.0000036112185,0.0007906199,0.9856648,0.008962127,0.0000058135843,0.00034043554,0.0002350779],"about_ca_topic_score_codex":0.0000029767887,"about_ca_topic_score_gemma":0.000035275672,"teacher_disagreement_score":0.6363306,"about_ca_system_score_codex":0.000098768185,"about_ca_system_score_gemma":0.0000043506943,"threshold_uncertainty_score":0.42427552},"labels":[],"label_agreement":null},{"id":"W3013036416","doi":"10.1109/ieeeconf44664.2019.9048877","title":"Linear Transmit Precoding with Optimized Dithering","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dither; Precoding; Computer science; Zero-forcing precoding; Electronic engineering; Telecommunications; MIMO; Engineering; Bandwidth (computing)","score_opus":0.005324404872412757,"score_gpt":0.18633471553714054,"score_spread":0.18101031066472778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013036416","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":[0.044799946,0.000050150764,0.9238735,0.000009643561,0.00015560549,0.00028528817,0.0000010036264,0.0006754799,0.030149376],"genre_scores_gemma":[0.80571747,0.000017499899,0.19250025,0.000008507089,0.00004038598,0.00001751317,0.000003702607,0.000056240395,0.0016384284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995416,0.000005626512,0.00012546327,0.000119225755,0.000052510968,0.0001555729],"domain_scores_gemma":[0.99975246,0.000021608586,0.00001416497,0.00015723037,0.000018254614,0.000036260128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004299848,0.00010948738,0.00013878342,0.000040095736,0.0000159516,0.000013629354,0.00006346975,0.00003980226,0.00028629566],"category_scores_gemma":[0.0000020176146,0.00008953491,0.00002167693,0.00010529897,0.0000051390857,0.0002210992,0.0000048287607,0.00007129598,0.00012208667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009682233,0.0000026221626,0.00016570349,0.000051322033,0.000018921324,7.2493236e-7,0.000097054515,0.99513555,0.0036399662,0.00009950386,0.00001384247,0.00076508994],"study_design_scores_gemma":[0.00086396455,0.000029341496,0.000023521718,0.00007041665,0.0000073647543,0.000006897055,0.000078013225,0.98572457,0.012069254,0.000008186437,0.0009108169,0.00020763002],"about_ca_topic_score_codex":0.0000025990762,"about_ca_topic_score_gemma":0.0000043146756,"teacher_disagreement_score":0.76091754,"about_ca_system_score_codex":0.000033391134,"about_ca_system_score_gemma":0.0000040214304,"threshold_uncertainty_score":0.36511275},"labels":[],"label_agreement":null},{"id":"W3013100639","doi":"10.18280/ts.370114","title":"Performance Optimization of LS/LMMSE Using Swarm Intelligence in 3D MIMO-OFDM Systems","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Swarm intelligence; MIMO-OFDM; MIMO; Orthogonal frequency-division multiplexing; Algorithm; Telecommunications; Particle swarm optimization; Channel (broadcasting)","score_opus":0.02475339839844716,"score_gpt":0.22684694494519364,"score_spread":0.2020935465467465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013100639","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":[0.07882496,0.00027984165,0.9196559,0.000011403028,0.00018517641,0.00045564238,0.000009468316,0.00013243439,0.00044515615],"genre_scores_gemma":[0.96905583,0.00008498577,0.030647216,0.000015653652,0.00010762524,0.000024406665,0.000019354586,0.00003990809,0.0000049967894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987222,0.000034911587,0.00062512676,0.00019788924,0.00019361587,0.00022627937],"domain_scores_gemma":[0.9996009,0.000027773733,0.0001130538,0.00011387259,0.000070076116,0.00007431858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015358599,0.00018096573,0.00026419826,0.00012461196,0.00003022426,0.0000204302,0.00014773227,0.00006844801,0.0000630399],"category_scores_gemma":[0.000014590386,0.00020095271,0.000032785476,0.00044354898,0.000024487366,0.00036489748,0.000022763443,0.000108537344,0.000007669798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002089191,0.000020712961,0.000842796,0.00047137987,0.000016460343,0.0000026162486,0.0008503296,0.9921839,0.0048897252,0.00004445228,0.000011962646,0.00064471964],"study_design_scores_gemma":[0.00027326288,0.00006551814,0.000050241935,0.0002109078,0.000013561909,0.000003358568,0.00024552934,0.9934776,0.005431298,8.843642e-7,0.00004300269,0.00018485186],"about_ca_topic_score_codex":0.000018782166,"about_ca_topic_score_gemma":0.0000019069016,"teacher_disagreement_score":0.8902309,"about_ca_system_score_codex":0.000135448,"about_ca_system_score_gemma":0.000021384569,"threshold_uncertainty_score":0.81946135},"labels":[],"label_agreement":null},{"id":"W3013226971","doi":"10.1109/ieeeconf44664.2019.9048810","title":"One-Bit Precoding Constellation Design via Autoencoder-Based Deep Learning","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Quadrature amplitude modulation; Phase-shift keying; Precoding; QAM; Constellation diagram; Electronic engineering; Channel (broadcasting); Algorithm; MIMO; Telecommunications; Bit error rate; Engineering","score_opus":0.016349076324165115,"score_gpt":0.20987874500702017,"score_spread":0.19352966868285504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013226971","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":[0.0015259973,0.00006288195,0.96397173,0.0000069885746,0.00025117793,0.00042987728,2.7044157e-7,0.00094672746,0.03280434],"genre_scores_gemma":[0.83198214,0.000008468641,0.16760278,0.000012484938,0.00003046145,0.000004338882,0.000013432281,0.00004308201,0.00030278947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925214,0.000046037192,0.00022881456,0.00016805234,0.00010355424,0.00020141773],"domain_scores_gemma":[0.999567,0.00014601249,0.000048604503,0.00015176494,0.000041563377,0.000045096785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001527687,0.00012596765,0.00015379296,0.000114307055,0.00004611534,0.00003204859,0.00006287296,0.00008803278,0.0004839774],"category_scores_gemma":[0.000018384062,0.00014778746,0.00003080145,0.0001678714,0.000008401923,0.0002541741,0.000008582881,0.0001279125,0.00036352949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004243193,0.0000045536635,0.0008164979,0.00005608589,0.000011168734,2.6500456e-7,0.00008457394,0.97793216,0.0123196095,0.00006584124,0.0000116698475,0.008693352],"study_design_scores_gemma":[0.00031515068,0.000029911314,0.00003580347,0.00004564458,0.000007497876,0.0000014992977,0.00004018537,0.98493063,0.014116413,0.00004478683,0.00024868172,0.00018379197],"about_ca_topic_score_codex":0.0000049443343,"about_ca_topic_score_gemma":0.000003336714,"teacher_disagreement_score":0.83045614,"about_ca_system_score_codex":0.000118619595,"about_ca_system_score_gemma":0.000011221974,"threshold_uncertainty_score":0.60265976},"labels":[],"label_agreement":null},{"id":"W3013466417","doi":"10.1109/ccnc46108.2020.9045232","title":"Exact Outage Analysis for Stochastic Cellular Networks under Multi-User MIMO","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Base station; Poisson point process; Stochastic geometry; MIMO; Precoding; Computer science; Rayleigh fading; Telecommunications link; Path loss; Multi-user MIMO; Computer network; Stochastic geometry models of wireless networks; Fading; Point process; Signal-to-interference-plus-noise ratio; Cellular network; Wireless; Wireless network; Channel (broadcasting); Telecommunications; Radio resource management; Mathematics; Statistics","score_opus":0.02067335698779717,"score_gpt":0.23241321019466912,"score_spread":0.21173985320687194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013466417","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":[0.0004147077,0.00017944636,0.9982015,0.000042781186,0.00013607355,0.00037193488,0.000009605926,0.00047298754,0.00017094852],"genre_scores_gemma":[0.9503923,0.000004436902,0.04841481,0.00011701235,0.00013353996,0.000045557088,0.00007284914,0.000058646572,0.0007608654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992543,0.000010951357,0.00023333341,0.000212512,0.00006336285,0.00022558162],"domain_scores_gemma":[0.9995694,0.000065642904,0.000032122392,0.00017945468,0.000040488492,0.00011287428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005014775,0.00015681183,0.00025167275,0.00007370251,0.00003775492,0.00002779596,0.00009706282,0.00008583198,0.00012454907],"category_scores_gemma":[0.000026486747,0.00015535513,0.00013072128,0.0004572719,0.000008596029,0.0001224871,0.00001705683,0.000079507816,0.000030365245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003971844,0.0000059583017,0.0000775977,0.00002783718,0.00026449552,7.369534e-7,0.00007916784,0.9982454,0.0007974489,0.00019332634,0.0002328542,0.000071201415],"study_design_scores_gemma":[0.00037265944,0.0000115023595,0.000044010805,0.000004176982,0.00019778023,1.4018578e-7,0.00012015751,0.9984098,0.0003112595,0.00000609614,0.00033775775,0.00018465056],"about_ca_topic_score_codex":0.000005814042,"about_ca_topic_score_gemma":0.00002688917,"teacher_disagreement_score":0.9499776,"about_ca_system_score_codex":0.00004414608,"about_ca_system_score_gemma":0.000004096069,"threshold_uncertainty_score":0.6335198},"labels":[],"label_agreement":null},{"id":"W3013630590","doi":"10.5383/juspn.06.01.002","title":"Support Vector Machines Regression for Channel Estimation in MIMO LTE systems","year":2015,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Fading; MIMO; Multipath propagation; Orthogonal frequency-division multiplexing; Computer science; MIMO-OFDM; Algorithm; Channel (broadcasting); Minimum mean square error; Additive white Gaussian noise; Electronic engineering; Estimator; Mathematics; Decoding methods; Telecommunications; Engineering; Statistics","score_opus":0.02029150891796313,"score_gpt":0.2581720741123905,"score_spread":0.23788056519442738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013630590","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":[0.040198725,0.025150383,0.9230822,0.000059896567,0.009862229,0.0012629606,0.000024670944,0.0000912774,0.00026769025],"genre_scores_gemma":[0.99651736,0.00046120922,0.0011147388,0.000009080371,0.0015856136,0.000059613983,0.000020578316,0.00006300347,0.00016881383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99828625,0.00009434486,0.0009393398,0.00015597219,0.0002224989,0.00030157279],"domain_scores_gemma":[0.9985684,0.0001453486,0.00049052085,0.00014865412,0.00044299115,0.00020407872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088262063,0.0002470723,0.0006220599,0.00022951174,0.000059119335,0.00010760523,0.00012884231,0.00021996521,9.3598214e-7],"category_scores_gemma":[0.00009474747,0.00019816132,0.00007825798,0.00018306744,0.000018839371,0.00045338983,0.00001912033,0.00023459489,0.0000011562158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007824641,0.000015400941,0.00040948048,0.0004505914,0.000042695225,0.000027385811,0.0008234321,0.99289954,0.00010789523,0.00007423812,0.0043381327,0.0007329837],"study_design_scores_gemma":[0.001281563,0.00030051224,0.000104376384,0.0012814094,0.000034084136,0.00055356545,0.00077464693,0.99396956,0.00001888794,0.000032048076,0.0014382923,0.00021104624],"about_ca_topic_score_codex":0.000064352265,"about_ca_topic_score_gemma":0.000031785254,"teacher_disagreement_score":0.9563186,"about_ca_system_score_codex":0.00021257906,"about_ca_system_score_gemma":0.00005312047,"threshold_uncertainty_score":0.8080784},"labels":[],"label_agreement":null},{"id":"W3013787800","doi":"10.1109/icnc47757.2020.9049829","title":"Improving the Energy Efficiency of DFT-s-OFDM in Uplink Massive MIMO with Barker Codes","year":2020,"lang":"en","type":"article","venue":"2020 International Conference on Computing, Networking and Communications (ICNC)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Telecommunications link; Orthogonal frequency-division multiplexing; Computer science; Rayleigh fading; Electronic engineering; Transmission (telecommunications); Efficient energy use; Fading; Air interface; MIMO; Spectral efficiency; Energy (signal processing); Channel (broadcasting); Telecommunications; Wireless; Engineering; Electrical engineering; Physics","score_opus":0.027255478892243452,"score_gpt":0.24469343401226168,"score_spread":0.21743795512001823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013787800","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":[0.015625138,0.0012903939,0.9627525,0.002415189,0.00033380123,0.00028972357,0.000010878263,0.00019999515,0.017082386],"genre_scores_gemma":[0.99296737,0.00052631984,0.0061485446,0.00014560448,0.00011004875,0.000018690716,0.000035980185,0.00002177419,0.00002565442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902576,0.00008585862,0.00036984918,0.0002059558,0.00015092941,0.00016162141],"domain_scores_gemma":[0.99894917,0.0002518669,0.00018521407,0.00040880195,0.00015564874,0.000049296374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015911087,0.00015890875,0.00019021814,0.00006584611,0.0001340919,0.00006892159,0.00074296386,0.000052311523,0.000013347851],"category_scores_gemma":[0.000036431284,0.0001328889,0.000029398865,0.00031899937,0.00012579019,0.000076406955,0.00023126166,0.00028752696,0.0000024055344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047804504,0.00005566119,0.0021275491,0.000040240764,0.00008954056,0.0000030163308,0.002225783,0.90392655,0.001040871,0.054588493,0.00023176408,0.035622716],"study_design_scores_gemma":[0.00028805685,0.00005120693,0.00022633563,0.0002321027,0.000008882415,0.0000037900509,0.00039898063,0.9974245,0.00013373922,0.0001231774,0.00096909644,0.00014014839],"about_ca_topic_score_codex":0.000066830544,"about_ca_topic_score_gemma":0.00005786136,"teacher_disagreement_score":0.97734225,"about_ca_system_score_codex":0.000048565526,"about_ca_system_score_gemma":0.000037336296,"threshold_uncertainty_score":0.5419052},"labels":[],"label_agreement":null},{"id":"W3014550862","doi":"","title":"Techniques for Modeling and Analysis of Radio Resource Allocation Methods in Wireless Networks","year":2017,"lang":"en","type":"article","venue":"","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":"Université du Québec à Montréal; University of Manitoba","funders":"","keywords":"Computer science; Resource allocation; Wireless network; Wireless; Radio resource management; Telecommunications; Resource (disambiguation); Computer network","score_opus":0.022070352890416013,"score_gpt":0.323472289761988,"score_spread":0.30140193687157196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014550862","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":[0.0041384697,0.00011964603,0.9948716,0.000008350838,0.000014952055,0.00018518372,0.0000010214007,0.00007771968,0.0005830328],"genre_scores_gemma":[0.5998964,0.000046408706,0.3999855,0.0000014883794,0.000009529416,0.000026359607,0.000007694515,0.000009395577,0.000017255099],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959695,0.00001603547,0.00019438878,0.00009329996,0.000023908706,0.00007539549],"domain_scores_gemma":[0.9996262,0.000049838876,0.000053491476,0.00022219334,0.000033541593,0.0000147130295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003503414,0.000057998765,0.00019153632,0.00015734666,0.000035960504,0.000017427665,0.00007234413,0.00006227621,7.054326e-7],"category_scores_gemma":[0.00003529167,0.000059429287,0.000027054495,0.000110854875,0.000010852344,0.0001313124,0.000013837388,0.000033982462,1.103741e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031746638,0.0000017398187,0.00036850327,0.000023238912,0.000048797792,3.0912066e-8,0.00006098359,0.97161347,0.0017668514,0.00041899263,0.0000035154656,0.025690716],"study_design_scores_gemma":[0.000075171505,0.0000041522485,0.00009737633,0.000022061366,0.000061257764,1.3144141e-7,0.00003333971,0.9957649,0.0038015046,0.00006309324,0.000016067286,0.000060908453],"about_ca_topic_score_codex":0.00004399958,"about_ca_topic_score_gemma":0.000071875664,"teacher_disagreement_score":0.5957579,"about_ca_system_score_codex":0.000026211696,"about_ca_system_score_gemma":0.0000017923787,"threshold_uncertainty_score":0.2423456},"labels":[],"label_agreement":null},{"id":"W3015107633","doi":"10.1109/mmm.2020.2971183","title":"Doherty PAs for 5G Massive MIMO: Energy-Efficient Integrated DPA MMICs for Sub-6-GHz and mm-Wave 5G Massive MIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Microwave Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"MIMO; 3G MIMO; Multi-user MIMO; Computer science; Reliability (semiconductor); Electronic engineering; Wireless; Interference (communication); Radio frequency; Computer network; Telecommunications; Engineering; Channel (broadcasting); Physics","score_opus":0.020455280113607303,"score_gpt":0.2125382314918971,"score_spread":0.1920829513782898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015107633","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":[0.014619956,0.001868472,0.9769728,0.00039897204,0.0018158107,0.0022451368,0.0007738384,0.0005071144,0.0007979028],"genre_scores_gemma":[0.9812707,0.00015860664,0.015333483,0.00027811847,0.00071937323,0.0007254455,0.0005530933,0.00030195533,0.0006592428],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99739945,0.00006346475,0.0008482688,0.0007580927,0.00018706327,0.00074366294],"domain_scores_gemma":[0.998225,0.0002658811,0.0002781117,0.00038710344,0.00052526017,0.00031864308],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017479187,0.0006499626,0.0007938327,0.00017747725,0.00015056333,0.00016589843,0.00021970732,0.00032947652,0.000007396259],"category_scores_gemma":[0.00016017476,0.00062989484,0.00019455113,0.00045268345,0.00009424634,0.00018542379,0.00002824605,0.00024302914,0.000028664332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014017068,0.000031904725,0.000009059872,0.00070476974,0.00013043894,0.000018750108,0.00042170667,0.4816135,0.50289935,0.00039115804,0.012487113,0.0011520823],"study_design_scores_gemma":[0.0019868165,0.00021023848,0.0000056027698,0.00020180314,0.00010375927,0.000026943908,0.00032650487,0.71449864,0.25803596,0.0000739764,0.023876999,0.00065275654],"about_ca_topic_score_codex":0.000019023857,"about_ca_topic_score_gemma":0.00005819083,"teacher_disagreement_score":0.9666507,"about_ca_system_score_codex":0.000341049,"about_ca_system_score_gemma":0.000062764455,"threshold_uncertainty_score":0.99961525},"labels":[],"label_agreement":null},{"id":"W3015543110","doi":"10.1109/icassp40776.2020.9054488","title":"Robust Symbol-Level Precoding Via Autoencoder-Based Deep Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Autoencoder; Quadrature amplitude modulation; Computer science; MIMO; Telecommunications link; Channel state information; Phase-shift keying; QAM; Artificial intelligence; Channel (broadcasting); Deep learning; Electronic engineering; Algorithm; Control theory (sociology); Bit error rate; Telecommunications; Engineering; Wireless","score_opus":0.040743342147493054,"score_gpt":0.2110382249367899,"score_spread":0.17029488278929683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015543110","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":[0.00046440403,0.00008050162,0.9880985,0.00009367798,0.00016205433,0.00016577299,0.0000017116666,0.0016335091,0.009299873],"genre_scores_gemma":[0.8153308,0.000009091696,0.18417771,0.00009626004,0.00010816094,0.000018795927,0.000022563623,0.00006623387,0.00017034683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921644,0.000021864873,0.00023130245,0.00019764554,0.00009936231,0.00023341092],"domain_scores_gemma":[0.9996559,0.00004900575,0.00003360269,0.00010905083,0.000036966274,0.00011548003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059097772,0.00015723119,0.00016797683,0.000056383313,0.00006844586,0.000032833494,0.00010611504,0.000074278294,0.00024451304],"category_scores_gemma":[0.00007086699,0.00016889218,0.000042743133,0.00025096076,0.00000895714,0.00021252922,0.000018953613,0.00019229628,0.00014317596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024629762,0.00000325089,0.00031727643,0.000084132684,0.000011316839,0.0000023827959,0.00025796812,0.99142605,0.0032854073,0.000039679275,0.000103519196,0.0044665537],"study_design_scores_gemma":[0.00024446772,0.000022498918,0.00004469011,0.000022541415,0.00000778906,0.0000017441039,0.00011622773,0.9948984,0.0037088504,0.0000060084776,0.0007237471,0.00020306172],"about_ca_topic_score_codex":0.000006208414,"about_ca_topic_score_gemma":0.000012183803,"teacher_disagreement_score":0.8148664,"about_ca_system_score_codex":0.00007122828,"about_ca_system_score_gemma":0.00000896985,"threshold_uncertainty_score":0.6887223},"labels":[],"label_agreement":null},{"id":"W3015882781","doi":"10.1109/icassp40776.2020.9053777","title":"Deep Learning for Robust Power Control for Wireless Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Fading; Wireless network; Maximization; Wireless; Power control; Channel (broadcasting); Channel state information; Task (project management); Artificial neural network; Artificial intelligence; Machine learning; Computer network; Power (physics); Mathematical optimization; Telecommunications; Engineering; Mathematics","score_opus":0.009468878543465304,"score_gpt":0.2015096346975288,"score_spread":0.1920407561540635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015882781","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":[0.00007806682,0.00017939246,0.9975027,0.00008950809,0.00020346048,0.00070494786,0.0000019140844,0.00051586964,0.000724182],"genre_scores_gemma":[0.94647795,0.000008117858,0.05279544,0.0001520274,0.00021314924,0.00011417048,0.000021853553,0.00006541989,0.00015188621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947625,0.000006392634,0.00015965375,0.00012589825,0.00003168766,0.000200136],"domain_scores_gemma":[0.99967414,0.00012063942,0.0000258259,0.000058475904,0.000057087393,0.00006382563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049826784,0.000101191225,0.00015830224,0.000014563968,0.000050047645,0.000020447407,0.000058457365,0.00006863596,0.00002358611],"category_scores_gemma":[0.000053214615,0.000102788,0.00005326583,0.00006568723,0.000005116643,0.00010248087,0.000005369587,0.000070650385,0.000004409654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002277597,0.0000016930882,0.00003775572,0.00004531622,0.000022969336,1.6218063e-7,0.00009435944,0.99640036,0.0001968722,0.0004227358,0.0006289994,0.0021260008],"study_design_scores_gemma":[0.0009796419,0.000053077172,0.0000044232565,0.000007629312,0.000011146949,4.4675625e-7,0.00012219862,0.99593854,0.00009415854,0.000009302619,0.0026512954,0.0001281492],"about_ca_topic_score_codex":5.190562e-7,"about_ca_topic_score_gemma":0.0000032384678,"teacher_disagreement_score":0.94639987,"about_ca_system_score_codex":0.00002459141,"about_ca_system_score_gemma":0.0000026377206,"threshold_uncertainty_score":0.4191573},"labels":[],"label_agreement":null},{"id":"W3015953124","doi":"10.1109/tgcn.2020.2986587","title":"Energy-Efficient Group-Sparse Transceiver Design for Multiuser MIMO Relaying in C-RAN","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; MIMO; Transceiver; Radio access network; Relay; Overhead (engineering); Transmitter power output; Energy consumption; Computer network; Transmitter; Mathematical optimization; Electronic engineering; Wireless; Power (physics); Base station; Engineering; Telecommunications; Mathematics; Channel (broadcasting); Mobile station","score_opus":0.05445495177760564,"score_gpt":0.24312910005214522,"score_spread":0.18867414827453957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015953124","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":[0.00076814956,0.0015163128,0.9964156,0.00029390558,0.0001586732,0.00048105468,0.000014880654,0.0002214709,0.00012992187],"genre_scores_gemma":[0.9555031,0.0017464017,0.042197473,0.00012722041,0.00005245452,0.00028819952,0.000010427282,0.000059102615,0.000015621736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902827,0.000093725655,0.00034828798,0.0002183037,0.00007160568,0.00023981188],"domain_scores_gemma":[0.99902433,0.00038279136,0.000044381923,0.0004254264,0.00003123489,0.00009185152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015580199,0.00018425309,0.00020599131,0.00012103747,0.00029720218,0.000029967729,0.000249938,0.00010293247,0.0000040816217],"category_scores_gemma":[5.984506e-7,0.00021184227,0.000068522204,0.00040006996,0.000048839174,0.0001263731,0.000002535483,0.0002487367,0.0000018538946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003611646,0.000044966804,0.000008074433,0.000028921795,0.000028646762,5.3367665e-7,0.0011875377,0.88590676,0.0008996295,0.00003371153,0.00002011217,0.111805014],"study_design_scores_gemma":[0.0007647844,0.000056255034,0.000004143651,0.000119592194,0.000032550954,0.0000021741623,0.00012501379,0.99490654,0.0003675119,0.000029302399,0.0033773151,0.00021480033],"about_ca_topic_score_codex":0.00006807495,"about_ca_topic_score_gemma":0.00034774173,"teacher_disagreement_score":0.9547349,"about_ca_system_score_codex":0.000068087524,"about_ca_system_score_gemma":0.00000896685,"threshold_uncertainty_score":0.8638677},"labels":[],"label_agreement":null},{"id":"W3016081664","doi":"10.1109/icassp40776.2020.9053980","title":"MMSE-Based Channel Estimation for Hybrid Beamforming Massive MIMO with Correlated Channels","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Channel (broadcasting); Computer science; Beamforming; Transmitter; Energy (signal processing); Precoding; Minimum mean square error; Frequency domain; Algorithm; Electronic engineering; Telecommunications; Mathematics; Statistics; Engineering","score_opus":0.012306773803702339,"score_gpt":0.20509149941427265,"score_spread":0.1927847256105703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016081664","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":[0.0014626903,0.000036765898,0.99570507,0.000336583,0.0002256367,0.00088402967,0.000020927127,0.0008647913,0.00046350015],"genre_scores_gemma":[0.88717616,0.0000018878325,0.112054795,0.00015405896,0.00008972597,0.00017636041,0.00018660397,0.00007735956,0.00008303241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924296,0.0000063755983,0.00022499767,0.00019731383,0.000093459676,0.00023486382],"domain_scores_gemma":[0.99957037,0.000054046366,0.00006293747,0.000113217386,0.00009474115,0.00010469839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041890584,0.00018499557,0.00019294515,0.00006426556,0.00006573438,0.000029726689,0.000077043485,0.000054120403,0.000019271483],"category_scores_gemma":[0.00003970628,0.00016945487,0.00003679048,0.00020194163,0.000014144636,0.00029169192,0.0000075413022,0.000080452264,0.000024370649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038172828,0.000005341924,0.000003818454,0.00015013396,0.000023212498,0.00000257035,0.00018511426,0.99772376,0.00067873497,0.000077629746,0.00046905808,0.0006424276],"study_design_scores_gemma":[0.00097462645,0.00012736593,0.000001029047,0.0000714895,0.000021966864,0.0000034624773,0.00009086211,0.96692324,0.031322144,0.00005630888,0.00018139195,0.00022614232],"about_ca_topic_score_codex":0.0000036899992,"about_ca_topic_score_gemma":0.0000014161285,"teacher_disagreement_score":0.8857135,"about_ca_system_score_codex":0.00006977032,"about_ca_system_score_gemma":0.000019415802,"threshold_uncertainty_score":0.6910169},"labels":[],"label_agreement":null},{"id":"W3017224378","doi":"10.48550/arxiv.2004.08738","title":"Graph Neural Network based Channel Tracking for Massive MIMO Networks","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; MIMO; Graph; Channel (broadcasting); Computation; Artificial neural network; Feedforward neural network; Encoder; Factor graph; Virtual channel; Algorithm; Theoretical computer science; Decoding methods; Artificial intelligence; Computer network","score_opus":0.053727948199853104,"score_gpt":0.17860501951243743,"score_spread":0.12487707131258433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3017224378","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":[0.0020183534,0.00031267462,0.99322903,0.000048643986,0.0020021482,0.0010706658,0.0000611171,0.0009001519,0.0003572287],"genre_scores_gemma":[0.9952491,0.00011439783,0.0032428673,0.00008646443,0.0007746498,0.00001382494,0.00028426325,0.00014880161,0.0000856672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982057,0.00006462673,0.0003035212,0.0008007721,0.000047089234,0.00057827507],"domain_scores_gemma":[0.99873114,0.0001635358,0.00021767539,0.0005288555,0.00015254873,0.00020623975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010936819,0.00050061784,0.00053533365,0.00016255799,0.0001551124,0.00006330423,0.0005016697,0.00048024574,0.000012848009],"category_scores_gemma":[0.00003133587,0.0006675552,0.00035487665,0.0005833132,0.000050521394,0.00021479587,0.00018600689,0.00066447817,0.000007180782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006241317,0.000010521685,0.00014238311,0.0002939646,0.00012019771,0.000065686545,0.00004541635,0.9967713,0.000011586795,0.0013016367,0.0010501046,0.00012483927],"study_design_scores_gemma":[0.00068468484,0.000034571847,0.000041663738,0.00020100662,0.00015656756,9.100916e-7,0.00005191223,0.99351394,0.000035625246,0.0045434255,0.00012625346,0.0006094452],"about_ca_topic_score_codex":0.000011764082,"about_ca_topic_score_gemma":0.000026661131,"teacher_disagreement_score":0.9932307,"about_ca_system_score_codex":0.0002238634,"about_ca_system_score_gemma":0.00004007915,"threshold_uncertainty_score":0.9995776},"labels":[],"label_agreement":null},{"id":"W3019262619","doi":"10.1109/lcomm.2020.2990487","title":"Graph Neural Network-Based Channel Tracking for Massive MIMO Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; MIMO; Channel (broadcasting); Graph; Artificial neural network; Factor graph; Feedforward neural network; Computation; Virtual channel; Algorithm; Decoding methods; Theoretical computer science; Artificial intelligence; Computer network","score_opus":0.03677419753259306,"score_gpt":0.2483154060959105,"score_spread":0.21154120856331743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019262619","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":[0.00093419803,0.00081665604,0.98630273,0.010190907,0.00045626762,0.00062431785,0.000017752685,0.00057442853,0.000082732455],"genre_scores_gemma":[0.95381075,0.00007379727,0.041041054,0.0041345106,0.0003660994,0.00032911455,0.000157006,0.00008502642,0.0000026314544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990436,0.00006781516,0.00031980124,0.00017554231,0.00006836965,0.00032486167],"domain_scores_gemma":[0.99865097,0.00026837536,0.00009130302,0.0008248961,0.00006750202,0.000096957236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008988592,0.00018717037,0.00020235924,0.000057780522,0.00023792619,0.000051328057,0.0006646688,0.000076646764,0.0000027456892],"category_scores_gemma":[0.000028544924,0.00022364534,0.000112250804,0.00040890957,0.00006803519,0.00020711991,0.000035664718,0.00026218506,0.0000055781397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075042303,0.0000065606323,0.00004561889,0.000031179614,0.000028998162,5.989609e-7,0.00015722048,0.9866202,0.0017595469,0.00005814675,0.010552942,0.0007314832],"study_design_scores_gemma":[0.00040322615,0.000015864069,0.000029121671,0.0000396946,0.000026652215,8.213169e-7,0.0000307648,0.9968646,0.00026680686,0.000025390249,0.0020726162,0.00022440685],"about_ca_topic_score_codex":0.0000034776676,"about_ca_topic_score_gemma":0.00001312505,"teacher_disagreement_score":0.95287657,"about_ca_system_score_codex":0.000057866484,"about_ca_system_score_gemma":0.0000074521236,"threshold_uncertainty_score":0.9119993},"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":"W3021261269","doi":"10.1109/wescan.1988.27686","title":"Propagation characteristics on microcellular urban mobile radio channels at 910 MHz","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Rician fading; Fading; Base station; Multipath propagation; Delay spread; Computer science; Fading distribution; Rayleigh fading; Electronic engineering; Telecommunications; Statistics; Channel (broadcasting); Engineering; Mathematics","score_opus":0.006516033749744436,"score_gpt":0.18796790248681486,"score_spread":0.18145186873707042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021261269","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":[0.15067649,0.00032159672,0.8344449,0.000007930806,0.0012575405,0.0009675339,0.000012416832,0.0008095708,0.01150206],"genre_scores_gemma":[0.98986083,0.000041712137,0.0036227414,0.000023967039,0.00013195096,0.000097315904,0.00006806118,0.00007003263,0.0060834135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99924517,0.00002164959,0.0002403834,0.0001824477,0.00009366446,0.00021667624],"domain_scores_gemma":[0.99960345,0.000018722438,0.000045445453,0.00022225895,0.000045917757,0.000064222084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007991026,0.00016944724,0.0001617174,0.0000716316,0.000062634404,0.000024101535,0.00006113643,0.0000885967,0.00015416826],"category_scores_gemma":[0.00002510394,0.00016884436,0.000032505268,0.00013321741,0.000012094148,0.000119525655,0.000007774554,0.00008109718,0.00031165325],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000145229105,0.00006560022,0.00039502152,0.00021854414,0.000039443818,0.000009110207,0.00068584166,0.7418098,0.24985908,0.002344552,0.0034686234,0.001089891],"study_design_scores_gemma":[0.00075467763,0.00015978725,0.00006531805,0.00009189414,0.000023069817,0.00003967501,0.00009005113,0.24931122,0.65268683,0.000048111597,0.0960006,0.0007287295],"about_ca_topic_score_codex":9.983539e-7,"about_ca_topic_score_gemma":7.516621e-7,"teacher_disagreement_score":0.83918434,"about_ca_system_score_codex":0.00022138016,"about_ca_system_score_gemma":0.000007322746,"threshold_uncertainty_score":0.6885273},"labels":[],"label_agreement":null},{"id":"W3021261488","doi":"10.1109/access.2020.2992713","title":"3D Angular-Based Hybrid Precoding and User Grouping for Uniform Rectangular Arrays in Massive MU-MIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Computer science; Overhead (engineering); MIMO; Channel state information; Baseband; Zero-forcing precoding; Algorithm; Interference (communication); Channel (broadcasting); Topology (electrical circuits); Mathematics; Telecommunications; Wireless; Bandwidth (computing)","score_opus":0.025136089914078622,"score_gpt":0.25329576681508464,"score_spread":0.22815967690100603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021261488","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":[0.08957677,0.00046667844,0.9077926,0.0000497147,0.00059533,0.0009970409,0.000033838827,0.00028953777,0.0001984532],"genre_scores_gemma":[0.9875434,0.000033592743,0.011752775,0.000069699396,0.00024939037,0.00022366337,0.000032374963,0.000085027496,0.000010097336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890584,0.00002695441,0.0003592364,0.00030017458,0.00010342655,0.00030438442],"domain_scores_gemma":[0.9994682,0.000105125706,0.000091797694,0.00017408762,0.000060331084,0.000100454345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013567472,0.0002081807,0.00030898757,0.00012827446,0.0000607953,0.00014846094,0.00020585919,0.000080031394,0.0000038338444],"category_scores_gemma":[0.00007759798,0.00022979568,0.000037803995,0.00028014363,0.00001559875,0.0007273728,0.000023881259,0.00012948025,0.0000024599203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021395741,0.000005524244,0.001175396,0.0008104281,0.000021075562,0.0000141321225,0.00021447033,0.9907824,0.006264061,0.00004525487,0.00017581852,0.0004700666],"study_design_scores_gemma":[0.00086322706,0.000031546446,0.00008703287,0.0002905846,0.000017558748,0.000003974672,0.00011896063,0.9803394,0.01724201,0.000024813331,0.0006826934,0.00029821778],"about_ca_topic_score_codex":0.000038882376,"about_ca_topic_score_gemma":0.000027062302,"teacher_disagreement_score":0.8979666,"about_ca_system_score_codex":0.0001401663,"about_ca_system_score_gemma":0.000017261184,"threshold_uncertainty_score":0.9370796},"labels":[],"label_agreement":null},{"id":"W3022014377","doi":"10.1109/twc.2020.2990176","title":"Optimizing Downlink Resource Allocation in Multiuser MIMO Networks via Fractional Programming and the Hungarian Algorithm","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Telecommunications link; Fractional programming; Scheduling (production processes); MIMO; Greedy algorithm; Quadratic programming; Cellular network; Schedule","score_opus":0.015750919708043175,"score_gpt":0.23500687466360326,"score_spread":0.21925595495556008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022014377","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":[0.00021648286,0.00068297255,0.995014,0.0026716301,0.00012207172,0.00075679494,0.000011387645,0.00037449642,0.00015017085],"genre_scores_gemma":[0.9087369,0.00084245275,0.089577,0.0001974835,0.00005326267,0.00047413047,0.00004271422,0.000058519418,0.000017552515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986947,0.00021920243,0.00046846122,0.00024046701,0.00013916509,0.00023796789],"domain_scores_gemma":[0.99852395,0.00048400232,0.00008903805,0.0007277647,0.00007230687,0.00010295086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024878068,0.00021410249,0.00024163359,0.00012150313,0.00046959615,0.00007984013,0.00042778524,0.00014789402,0.0000080514255],"category_scores_gemma":[0.000008526305,0.00020751238,0.00007014456,0.00059430726,0.00019824348,0.0003241426,0.000008755702,0.0008154932,0.00000891359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024950377,0.00005087922,0.0000061252395,0.000014540907,0.00004137104,4.3136518e-7,0.0017689936,0.8904534,0.00013560531,0.00014875445,0.000012458829,0.10734251],"study_design_scores_gemma":[0.00116993,0.000016984384,0.00002429422,0.00006338107,0.000034171222,0.0000069508606,0.00057008513,0.99625677,0.00024759065,0.000015619442,0.0013916582,0.00020257576],"about_ca_topic_score_codex":0.00008059847,"about_ca_topic_score_gemma":0.00025326255,"teacher_disagreement_score":0.9085204,"about_ca_system_score_codex":0.00011779452,"about_ca_system_score_gemma":0.000017607468,"threshold_uncertainty_score":0.84621096},"labels":[],"label_agreement":null},{"id":"W3022639242","doi":"10.1049/iet-com.2019.0666","title":"Analysis and outage performance evaluation of a fair scheduling for independent non‐identically distributed users in a cognitive radio using OSTBC with equally correlated transmit antennas","year":2020,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cognitive radio; Computer science; Independent and identically distributed random variables; Scheduling (production processes); Outage probability; Computer network; Telecommunications; Fading; Random variable; Mathematical optimization; Mathematics; Wireless; Decoding methods; Statistics","score_opus":0.04978748381914839,"score_gpt":0.29845347429464486,"score_spread":0.24866599047549648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022639242","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":[0.45501292,0.00017929717,0.5441178,0.000041485306,0.000007000202,0.00052527536,0.0000657707,0.000034597655,0.000015869646],"genre_scores_gemma":[0.9719896,0.00011179105,0.027402963,0.000009078924,0.000004261481,0.0001019722,0.00035550245,0.000024244391,6.0501526e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899566,0.00008544645,0.00042366495,0.0001642876,0.00018465686,0.00014627924],"domain_scores_gemma":[0.9988841,0.00018397706,0.00012383457,0.00032209785,0.00042470774,0.000061314066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038415857,0.00013050082,0.00028536242,0.00018435702,0.000086009815,0.000026064681,0.00020196172,0.00007399247,0.000003770102],"category_scores_gemma":[0.00015397352,0.00014066305,0.00004837012,0.001083421,0.000072810864,0.00025328077,0.000038651753,0.00017694893,4.3217813e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060355935,0.000028724164,0.028060801,0.000070324226,0.0003463704,2.9084643e-7,0.0027985238,0.9651587,0.0024428947,0.000017044144,1.8191808e-7,0.0010158069],"study_design_scores_gemma":[0.001598442,0.000047661884,0.023829384,0.00020396788,0.00089701655,0.0000016534283,0.0013098626,0.9716072,0.00035238013,0.000008057377,7.789503e-7,0.00014361477],"about_ca_topic_score_codex":0.000034027053,"about_ca_topic_score_gemma":0.00032182556,"teacher_disagreement_score":0.51697665,"about_ca_system_score_codex":0.000112049005,"about_ca_system_score_gemma":0.00006294079,"threshold_uncertainty_score":0.57360727},"labels":[],"label_agreement":null},{"id":"W3022781094","doi":"10.1109/access.2020.2991381","title":"Load-Aware Energy Efficient Adaptive Large Scale Antenna System","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"European Commission","keywords":"Computer science; Antenna (radio); Efficient energy use; Transmitter; Quality of service; Constraint (computer-aided design); Energy (signal processing); Wireless; Computer network; Electronic engineering; Real-time computing; Telecommunications; Electrical engineering; Engineering; Mathematics","score_opus":0.015860552368901607,"score_gpt":0.23162449299057036,"score_spread":0.21576394062166876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3022781094","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":[0.007710646,0.00036903584,0.9876828,0.00002571583,0.0008274674,0.00017755124,0.00005203993,0.0008998415,0.0022548835],"genre_scores_gemma":[0.9989238,0.000013114488,0.0005058387,0.00008675294,0.00030644736,0.000044320048,0.000009831927,0.00006308646,0.000046832003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989598,0.000026006956,0.00025698144,0.00026190653,0.00019487157,0.0003004363],"domain_scores_gemma":[0.99944603,0.000022882608,0.00005641423,0.00021346481,0.0001220689,0.00013915992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057108515,0.00018417172,0.00023800644,0.00004540687,0.000065984575,0.00006096166,0.00031041444,0.000083133345,0.000015235405],"category_scores_gemma":[0.000009089282,0.00018717487,0.000052357344,0.00037114302,0.000012687033,0.00025437135,0.00005371262,0.00009699363,0.000065669476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014128265,0.00001147744,0.000068271955,0.00017129714,0.000023024635,0.00001931583,0.00044534667,0.9962986,0.0017018404,0.00018574733,0.00086930743,0.000191614],"study_design_scores_gemma":[0.0003594479,0.000017794468,0.000022851851,0.00010766315,0.000012403719,0.0000054851153,0.00041631708,0.9895579,0.008398631,0.0000025109548,0.00088325073,0.00021573988],"about_ca_topic_score_codex":0.000028819046,"about_ca_topic_score_gemma":0.000030918633,"teacher_disagreement_score":0.99121314,"about_ca_system_score_codex":0.00021946293,"about_ca_system_score_gemma":0.000021926457,"threshold_uncertainty_score":0.76327693},"labels":[],"label_agreement":null},{"id":"W3023177322","doi":"10.1109/access.2020.2990456","title":"On the Energy Efficiency of Multi-Cell Massive MIMO With Beamforming Training","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Precoding; Spectral efficiency; Computer science; Beamforming; MIMO; Channel state information; Rician fading; Telecommunications link; Algorithm; Mathematical optimization; Base station; Efficient energy use; Maximization; Transmitter power output; Channel (broadcasting); Fading; Mathematics; Telecommunications; Transmitter; Wireless; Engineering","score_opus":0.031072941285627667,"score_gpt":0.24151606801252928,"score_spread":0.21044312672690163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023177322","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":[0.06357835,0.00007842649,0.93390113,0.000046978555,0.00012984453,0.0001325858,0.0000049029622,0.00011477627,0.0020130158],"genre_scores_gemma":[0.9973292,0.000008609716,0.0024179104,0.00010749296,0.0000534045,0.000022731421,0.0000020966875,0.0000343538,0.000024224171],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942684,0.000013367388,0.00016857684,0.00012909781,0.00010901479,0.00015307264],"domain_scores_gemma":[0.99961185,0.00009648643,0.00007285155,0.00013913625,0.00003674087,0.000042928707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003887826,0.00011648498,0.00013919052,0.000036117544,0.00004484176,0.00002266135,0.00026365567,0.00003552247,0.000010751356],"category_scores_gemma":[0.000024038642,0.000080725404,0.000024719782,0.00026478714,0.000023706078,0.00019125926,0.000015084662,0.00008615298,0.0000030361564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008085806,0.000009928707,0.00001620439,0.000043798627,0.000009935917,0.0000026632008,0.0013966921,0.988134,0.009399148,0.00015690016,0.000058561607,0.0007640431],"study_design_scores_gemma":[0.00042812517,0.000060603288,0.0000058273617,0.00007185869,0.00000978524,0.0000010628838,0.0004760117,0.80675864,0.19190899,0.000013635182,0.00012323646,0.00014221482],"about_ca_topic_score_codex":0.0000122923275,"about_ca_topic_score_gemma":0.0000072514563,"teacher_disagreement_score":0.9337508,"about_ca_system_score_codex":0.000021613823,"about_ca_system_score_gemma":0.000013801911,"threshold_uncertainty_score":0.32918864},"labels":[],"label_agreement":null},{"id":"W3023578546","doi":"10.1007/978-981-13-6264-4_106","title":"Diversity Gain of Millimeter-Wave Massive MIMO Systems with Distributed Antenna Arrays","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","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":"University of Saskatchewan","funders":"","keywords":"Extremely high frequency; MIMO; Diversity (politics); Millimeter; Antenna (radio); Telecommunications; Diversity gain; Antenna diversity; Computer science; Electronic engineering; Physics; Engineering; Political science; Optics","score_opus":0.007668064857556349,"score_gpt":0.17203268328439403,"score_spread":0.16436461842683767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023578546","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":[0.00022773643,0.0032377846,0.99365586,0.000006831482,0.00040132584,0.00077071215,0.00012669331,0.0003234589,0.0012495867],"genre_scores_gemma":[0.993076,0.00024913423,0.005563952,0.0000073277574,0.00017317696,0.000018499968,0.00021922975,0.00025786643,0.0004348071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802244,0.000014798423,0.0005762442,0.0004705308,0.00035172887,0.00056427595],"domain_scores_gemma":[0.99871767,0.00039189585,0.00018860733,0.00045744734,0.00013444069,0.00010992867],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000926752,0.00068534614,0.001066452,0.00052616413,0.000054096305,0.00001887392,0.0002467868,0.0006940449,0.000012318754],"category_scores_gemma":[0.00012339471,0.00066080526,0.00014414854,0.0003618604,0.000032197673,0.00010891591,0.00012115855,0.001039644,0.000006822064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003004416,0.000008682273,0.000054010245,0.000589773,0.00019434399,0.00006681137,0.00010363968,0.9958997,0.0021179486,0.000581478,0.00000861048,0.00034496104],"study_design_scores_gemma":[0.00057636877,0.00016948718,0.000020818195,0.0010905262,0.00010139503,0.000041769534,0.0000018467828,0.99483347,0.0019078114,0.00014900714,0.0002783941,0.0008290914],"about_ca_topic_score_codex":0.000022591008,"about_ca_topic_score_gemma":0.000011222144,"teacher_disagreement_score":0.9928483,"about_ca_system_score_codex":0.0006886216,"about_ca_system_score_gemma":0.00004191346,"threshold_uncertainty_score":0.9995843},"labels":[],"label_agreement":null},{"id":"W3024562595","doi":"10.1186/s13638-020-01705-5","title":"Performance bounds for diversity receptions over a new fading model with arbitrary branch correlation","year":2020,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Fading; Fading distribution; Channel state information; Algorithm; Nakagami distribution; Computer science; Line-of-sight; Diversity combining; Maximal-ratio combining; Statistics; Mathematics; Telecommunications; Channel (broadcasting); Wireless; Physics; Rayleigh fading","score_opus":0.04293532396380694,"score_gpt":0.24151301921724214,"score_spread":0.1985776952534352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024562595","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":[0.11078223,0.0009206481,0.8864233,0.00042461933,0.00012831493,0.0002237596,0.000004313131,0.00012648711,0.0009663417],"genre_scores_gemma":[0.9736716,0.0047079823,0.021115966,0.00014491043,0.00025313193,0.000009457675,0.000020756208,0.000036886235,0.00003928424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993236,0.000032397806,0.00024417436,0.00011797269,0.000102956976,0.00017890712],"domain_scores_gemma":[0.99930507,0.00012024054,0.00012651482,0.0002464846,0.00005764765,0.00014406898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012436131,0.00014166211,0.00016514129,0.00006592654,0.001075147,0.000090133464,0.00024893254,0.00005815953,0.0000031539826],"category_scores_gemma":[0.0000050005847,0.0001393311,0.000039805218,0.00023529425,0.00003577662,0.00047207804,0.00009241361,0.00040766533,0.000001355692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047128487,0.000009633126,0.0049174,0.000023965546,0.000035514062,2.962215e-7,0.0014013374,0.9646664,0.00012643365,0.00032829097,0.00034815675,0.028095435],"study_design_scores_gemma":[0.0005987576,0.000085690815,0.00042117632,0.00025485543,0.000030509438,0.000018844576,0.00005263038,0.9963035,0.000010451873,0.00014058272,0.0019149814,0.00016803543],"about_ca_topic_score_codex":0.0000016745871,"about_ca_topic_score_gemma":0.000008694205,"teacher_disagreement_score":0.86530733,"about_ca_system_score_codex":0.00007816248,"about_ca_system_score_gemma":0.000027916114,"threshold_uncertainty_score":0.826927},"labels":[],"label_agreement":null},{"id":"W3024718003","doi":"10.1002/9781119471509.w5gref052","title":"<scp>3D MIMO</scp>Antenna Designs","year":2020,"lang":"en","type":"other","venue":"Wiley 5G Ref","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"MIMO; 3G MIMO; Antenna (radio); Computer science; Multi-user MIMO; Multipath propagation; Electronic engineering; Interference (communication); Telecommunications; Antenna array; Channel (broadcasting); Engineering","score_opus":0.015894212256564313,"score_gpt":0.2192065183325593,"score_spread":0.203312306075995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024718003","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000001334732,0.006200585,0.4004627,0.000009053257,0.0011234295,0.0004480823,0.00006478832,0.002106156,0.5895839],"genre_scores_gemma":[0.0010785575,0.0036748056,0.05037115,0.00017139321,0.0026577867,0.00017524835,0.00039472306,0.0034825655,0.93799376],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987498,0.000030783303,0.00029573837,0.00037850524,0.00017498487,0.00037021565],"domain_scores_gemma":[0.9991858,0.000054297216,0.00012229246,0.00046479114,0.000021965496,0.00015086198],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000048047743,0.0004301881,0.00047900973,0.00019386447,0.000027427528,0.00003331099,0.00027229002,0.00042963962,0.00035258342],"category_scores_gemma":[0.00010087941,0.0004524784,0.000091406975,0.00027372435,0.000028731174,0.0000710097,0.000031430118,0.00032180035,0.001393477],"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":[8.8633607e-7,0.000009451039,0.000018874383,0.00046031928,0.00012623459,0.000042803367,0.00017241886,0.013912912,0.0016976347,0.0000900708,0.98245555,0.0010128644],"study_design_scores_gemma":[0.00023279687,0.00002324429,0.0000028464692,0.00072280254,0.000040426214,0.000010623704,0.000035193134,0.016299004,0.00017945447,0.00002155053,0.98222566,0.00020639804],"about_ca_topic_score_codex":0.00002335438,"about_ca_topic_score_gemma":0.000031138617,"teacher_disagreement_score":0.35009152,"about_ca_system_score_codex":0.000097817516,"about_ca_system_score_gemma":0.000024502659,"threshold_uncertainty_score":0.9997927},"labels":[],"label_agreement":null},{"id":"W3026004538","doi":"10.1109/isit44484.2020.9174354","title":"Embedding Information in Radiation Pattern Fluctuations","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Interference (communication); Channel state information; Coding (social sciences); Interference alignment; Radiation pattern; Embedding; Channel (broadcasting); Context (archaeology); Radiation; SIGNAL (programming language); Electronic engineering; Antenna (radio); Telecommunications; Algorithm; Artificial intelligence; Wireless; Mathematics; MIMO; Statistics; Physics; Optics; Engineering; Geography","score_opus":0.010650496624408812,"score_gpt":0.24139763916174936,"score_spread":0.23074714253734055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026004538","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":[0.0020257053,0.00006725488,0.9918696,0.000118939206,0.0007106361,0.00049739424,0.00002696003,0.00062448194,0.004058983],"genre_scores_gemma":[0.9879024,0.00010143802,0.010701139,0.00006835051,0.000118188655,0.00012872175,0.0009337358,0.0000300473,0.000015947624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915737,0.000016615622,0.00046395467,0.0001248233,0.00010639214,0.00013085759],"domain_scores_gemma":[0.9996256,0.00002313813,0.00008249014,0.00018733156,0.00003985779,0.000041586034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006576886,0.00017078096,0.00018416966,0.00024724545,0.000017938399,0.00007403268,0.00010891551,0.00019042168,0.000056247078],"category_scores_gemma":[0.000060371487,0.00020489833,0.000036205754,0.00016195196,0.0000041854737,0.0006093271,0.000076175085,0.00031882175,0.00013778263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.879785e-7,0.0000015230661,0.000085196465,0.00019400321,0.000008439259,3.6941245e-7,0.0010025585,0.9777301,0.000052224193,0.000054299817,0.00039702517,0.020473778],"study_design_scores_gemma":[0.00015663868,0.0000025655156,0.0004197378,0.000072719675,0.0000056389135,5.8534937e-7,0.00010855378,0.99784476,0.00020451825,0.00038038896,0.0006087558,0.00019513695],"about_ca_topic_score_codex":0.000045281366,"about_ca_topic_score_gemma":0.000026676802,"teacher_disagreement_score":0.98587674,"about_ca_system_score_codex":0.00028143296,"about_ca_system_score_gemma":0.000025559611,"threshold_uncertainty_score":0.83555114},"labels":[],"label_agreement":null},{"id":"W3026837198","doi":"10.1109/tvt.2020.2993904","title":"3D-MIMO Dual Communications in SCMA-Based Secure HetNets","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Iran National Science Foundation","keywords":"MIMO; Computer science; 3G MIMO; Spectral efficiency; Spatial multiplexing; Base station; Precoding; Heterogeneous network; Multi-user MIMO; Convex optimization; Electronic engineering; Channel (broadcasting); Computer network; Wireless; Wireless network; Telecommunications; Engineering; Mathematics; Regular polygon","score_opus":0.014511094282710009,"score_gpt":0.23337647615640797,"score_spread":0.21886538187369797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026837198","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010463599,0.0003396322,0.98383516,0.0029002668,0.00016442128,0.00040398267,0.000029911067,0.001612846,0.00025018895],"genre_scores_gemma":[0.97715366,0.000089938454,0.02228431,0.0001820383,0.0000137403995,0.00019320355,0.000013615065,0.00005908245,0.000010390105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901897,0.00004148992,0.00032218394,0.00025462123,0.00010057564,0.00026218523],"domain_scores_gemma":[0.99911374,0.000042855438,0.00003760403,0.00069097563,0.000048562186,0.00006628611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000054393175,0.00020086711,0.00024438486,0.00041156958,0.00009760199,0.000012308393,0.00033065127,0.0003584131,0.000031939464],"category_scores_gemma":[0.000010452446,0.0002383573,0.00006121016,0.0011481061,0.000112498295,0.00011285668,0.000002837967,0.0006988356,0.00009776433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007839529,0.000059724007,0.000019346284,0.000036924364,0.000024070318,0.000015947388,0.00010133094,0.9857348,0.008771297,0.00018625264,0.000041683394,0.005000756],"study_design_scores_gemma":[0.0008722501,0.000097464195,0.000008398731,0.0000647545,0.000023979028,0.000017198208,0.00013593413,0.93963534,0.054778665,0.0000813571,0.003993088,0.0002915803],"about_ca_topic_score_codex":0.0000073903484,"about_ca_topic_score_gemma":0.00013074148,"teacher_disagreement_score":0.96669006,"about_ca_system_score_codex":0.00012814264,"about_ca_system_score_gemma":0.000027330092,"threshold_uncertainty_score":0.9719929},"labels":[],"label_agreement":null},{"id":"W3030158821","doi":"10.1109/tcomm.2020.2996737","title":"Sum Power Minimization With Mixed Power and QoS Bounded Constraints","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mathematical optimization; Interior point method; Computer science; Power (physics); Throughput; Distributed power; Power optimization; Wireless; Mathematics; Power consumption; Telecommunications","score_opus":0.01806715574617264,"score_gpt":0.22876577054208241,"score_spread":0.2106986147959098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030158821","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":[0.002695121,0.00014995674,0.99028826,0.0011477161,0.0001952831,0.0004185389,0.000074395364,0.0005289762,0.004501774],"genre_scores_gemma":[0.9724883,0.00022686915,0.02689682,0.00014995664,0.000009914346,0.00009351482,0.000023123363,0.000055657143,0.000055851746],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920547,0.000062595354,0.0002654602,0.00018855938,0.00010960007,0.00016829121],"domain_scores_gemma":[0.9988921,0.00012694679,0.000049396018,0.00069762336,0.000096597374,0.00013728668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004491516,0.00018473534,0.00017642205,0.00009426879,0.00027008422,0.00005580929,0.00025052065,0.000089981026,0.00010481552],"category_scores_gemma":[0.000008124559,0.0001940001,0.000037325,0.00036549979,0.00022580691,0.0002805562,0.0000030049625,0.00027392563,0.000039190498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097269236,0.00028565698,0.000082872204,0.0000949099,0.00036648047,0.0000039304837,0.005983807,0.9764004,0.006569665,0.0020736204,0.0013799389,0.0066614575],"study_design_scores_gemma":[0.007508143,0.0010874562,0.0008434999,0.0005280673,0.00046828063,0.00017289373,0.007238427,0.9122005,0.031925354,0.00031012666,0.034940433,0.0027767885],"about_ca_topic_score_codex":0.00000490574,"about_ca_topic_score_gemma":0.00007052263,"teacher_disagreement_score":0.9697932,"about_ca_system_score_codex":0.00005931859,"about_ca_system_score_gemma":0.00003063544,"threshold_uncertainty_score":0.79110944},"labels":[],"label_agreement":null},{"id":"W3030516277","doi":"10.1109/tvt.2020.2998405","title":"Performance of Distributed Massive MIMO and Small-Cell Systems Under Hardware and Channel Impairments","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Telecommunications link; Computer science; Channel (broadcasting); Software deployment; Multi-user MIMO; Wireless; 3G MIMO; Spectral efficiency; Distributed computing; Communications system; Computer network; Telecommunications","score_opus":0.008830070855974488,"score_gpt":0.1866669121661975,"score_spread":0.177836841310223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3030516277","genre_codex":"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":[0.3797532,0.00036127234,0.6190531,0.000115551724,0.00010117123,0.00026294135,0.000060831677,0.00028078893,0.00001113552],"genre_scores_gemma":[0.99874496,0.0003570428,0.000752558,0.000011835347,0.000008845592,0.00007072805,0.0000085078,0.00003232794,0.000013184206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993066,0.000014095519,0.00022546617,0.00021231272,0.000064610096,0.0001768741],"domain_scores_gemma":[0.999654,0.0000147995115,0.000053221866,0.00016057905,0.00005353225,0.00006389543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028817427,0.0001665072,0.0002432173,0.0001517346,0.000066513814,0.000009298589,0.000081818434,0.00022270028,0.0000023516277],"category_scores_gemma":[0.0000022287059,0.00017479145,0.000026252525,0.00031944798,0.0000728919,0.0000845254,0.0000025721997,0.0002123443,0.0000040884247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014482622,0.000023002494,0.00005935031,0.0004043661,0.000058992646,0.0000059152626,0.00009079014,0.98286813,0.015815,0.000014886681,0.000008557428,0.00063651626],"study_design_scores_gemma":[0.0008315209,0.00027805354,0.00004619817,0.00010941615,0.000059449212,0.000039078346,0.00062727975,0.90021974,0.097494975,0.000011130616,0.000070213064,0.00021295977],"about_ca_topic_score_codex":0.0000044110957,"about_ca_topic_score_gemma":0.0000021911585,"teacher_disagreement_score":0.6189918,"about_ca_system_score_codex":0.000044307468,"about_ca_system_score_gemma":0.000008016153,"threshold_uncertainty_score":0.7127788},"labels":[],"label_agreement":null},{"id":"W3031223339","doi":"10.1109/jsyst.2020.2993048","title":"Spectral and Energy Efficiency in Cell-Free Massive MIMO Systems Over Correlated Rician Fading","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Rician fading; Channel state information; MIMO; Telecommunications link; Spectral efficiency; Maximal-ratio combining; Fading; Computer science; Beamforming; Algorithm; Transmission (telecommunications); Channel (broadcasting); Control theory (sociology); Mathematics; Mathematical optimization; Telecommunications; Wireless","score_opus":0.00762451152427982,"score_gpt":0.19398844446790692,"score_spread":0.1863639329436271,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031223339","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":[0.15641823,0.015703233,0.80825824,0.00006788782,0.0098623615,0.00050350296,0.000031998567,0.00042867457,0.008725892],"genre_scores_gemma":[0.99840474,0.0002227321,0.00019509046,0.000017768647,0.0008515277,0.000015127273,0.0000026764242,0.00008184561,0.00020846828],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99794936,0.0001430529,0.00084340066,0.00027253557,0.00029560702,0.0004960634],"domain_scores_gemma":[0.9990846,0.0000695997,0.00026076066,0.00020417015,0.000077056386,0.00030384195],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002477499,0.0003032095,0.00049560086,0.00026950502,0.00011723071,0.00020532351,0.00026820542,0.00019415772,0.000007346241],"category_scores_gemma":[0.000047869977,0.00030046792,0.000064631306,0.0005071114,0.000025839381,0.00038477406,0.000026970698,0.0004937467,0.0000124822045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011292569,0.000010999194,0.0007337109,0.00022019952,0.000030561492,0.00021034501,0.00087772805,0.98708427,0.009131217,0.00015314251,0.0014792664,0.000057247842],"study_design_scores_gemma":[0.0014769608,0.00008110134,0.00009777915,0.00048485107,0.000021937087,0.00048298336,0.0006665429,0.9946687,0.00050312356,0.000012180967,0.0011256897,0.00037809825],"about_ca_topic_score_codex":0.00012863087,"about_ca_topic_score_gemma":0.000014076045,"teacher_disagreement_score":0.84198654,"about_ca_system_score_codex":0.00034694292,"about_ca_system_score_gemma":0.00003776983,"threshold_uncertainty_score":0.99994475},"labels":[],"label_agreement":null},{"id":"W3031354173","doi":"10.1109/jlt.2020.2998001","title":"Decentralized Coordination of Converged Tactile Internet and MEC Services in H-CRAN Fiber Wireless Networks","year":2020,"lang":"en","type":"article","venue":"Journal of Lightwave Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Computer science; Computer network; Cloud computing; Distributed computing; The Internet; Wireless; Backhaul (telecommunications); Wireless network; Access network; Telecommunications","score_opus":0.004796512354584014,"score_gpt":0.19788027425630866,"score_spread":0.19308376190172466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3031354173","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":[0.86481553,0.0014959887,0.13212928,0.000880767,0.000246072,0.00017706958,0.0000019935815,0.000107006475,0.0001463097],"genre_scores_gemma":[0.9969642,0.00025433392,0.0026966701,0.000020960979,0.000029559913,0.000002139868,0.0000017909974,0.000018047751,0.000012306331],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921364,0.000020876729,0.0004940348,0.000079429796,0.00006793415,0.00012407932],"domain_scores_gemma":[0.99949056,0.00003198322,0.00026622287,0.000067019566,0.000100678306,0.000043551405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081032376,0.000099801684,0.00033381768,0.00023311404,0.000007320044,0.0000069992698,0.00012915849,0.00017495107,0.00003571488],"category_scores_gemma":[0.000022795624,0.00009495817,0.000027739892,0.00034050774,0.000031457428,0.00018361876,0.000028193586,0.0002368653,0.0000015961591],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075527787,0.0002012709,0.05815797,0.0018315617,0.0007695777,0.00029428356,0.0052507166,0.6696253,0.21246669,0.004927403,0.002901641,0.04281833],"study_design_scores_gemma":[0.0035092495,0.00032812543,0.00094689673,0.00051445625,0.000059817427,0.00015891524,0.00067605224,0.8886652,0.100688785,0.0004905804,0.0036749982,0.00028693446],"about_ca_topic_score_codex":0.000004811097,"about_ca_topic_score_gemma":0.000016226099,"teacher_disagreement_score":0.21903992,"about_ca_system_score_codex":0.000047949954,"about_ca_system_score_gemma":0.000007759929,"threshold_uncertainty_score":0.3872282},"labels":[],"label_agreement":null},{"id":"W3034842625","doi":"10.1109/tnsm.2020.3001691","title":"Robust Planning and Operation of Multi-Cell Homogeneous and Heterogeneous Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Heterogeneous network; Transmitter power output; Base station; Network topology; Homogeneous; Mathematical optimization; Distributed computing; Reuse; Linear programming; Cellular network; Topology (electrical circuits); Computer network; Algorithm; Wireless network; Transmitter; Wireless; Mathematics","score_opus":0.020095512277516252,"score_gpt":0.1979506959107513,"score_spread":0.17785518363323505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034842625","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":[0.009210795,0.0019381476,0.9880221,0.00005496328,0.00014307235,0.0003403517,0.000004410762,0.00010993613,0.00017623357],"genre_scores_gemma":[0.98657286,0.0021388961,0.010902398,0.000253194,0.000049270406,0.000027340573,0.000005113121,0.000031364598,0.000019585048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993597,0.000019801488,0.00020014748,0.00020753185,0.000057794954,0.00015502032],"domain_scores_gemma":[0.9997517,0.00001973031,0.00003065969,0.00009602739,0.000017862869,0.00008403899],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044051343,0.00015270365,0.00016239232,0.000038550475,0.000111142734,0.000032603977,0.000043255295,0.000058527366,0.000004390689],"category_scores_gemma":[1.3923407e-7,0.00016678288,0.000015998328,0.00014992987,0.000012754208,0.00007927092,0.0000038188446,0.00009156977,9.4075654e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021569444,0.00001424968,0.000018258797,0.00030610515,0.00005346627,0.000007035306,0.00038722574,0.9889176,0.00006664259,0.000003111155,0.000017234592,0.010187489],"study_design_scores_gemma":[0.00056261924,0.000059206075,0.000026578886,0.00005973139,0.00006376843,0.000006849687,0.00016413305,0.99848074,0.00025560305,0.0000015006501,0.00017218986,0.00014707608],"about_ca_topic_score_codex":0.0000067812407,"about_ca_topic_score_gemma":0.0000336131,"teacher_disagreement_score":0.97736204,"about_ca_system_score_codex":0.000012213646,"about_ca_system_score_gemma":0.0000014333102,"threshold_uncertainty_score":0.6801208},"labels":[],"label_agreement":null},{"id":"W3035796478","doi":"10.1109/jsyst.2020.2984596","title":"On the Optimization of User Association and Resource Allocation in HetNets With mm-Wave Base Stations","year":2020,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Base station; Resource allocation; Heuristic; Heterogeneous network; Distributed computing; Optimization problem; Computational complexity theory; Resource management (computing); Mathematical optimization; Reduction (mathematics); Computer network; Algorithm; Wireless network; Wireless; Artificial intelligence; Mathematics; Telecommunications","score_opus":0.015335016214446212,"score_gpt":0.2031972615313066,"score_spread":0.18786224531686038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035796478","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":[0.080183074,0.00013713518,0.9177378,0.00059159263,0.00020918081,0.00059193367,0.000012434421,0.000054830864,0.00048202524],"genre_scores_gemma":[0.99794555,0.00003772577,0.0017479754,0.00004799759,0.00011236513,0.000024348717,0.000007335861,0.000030412062,0.000046312332],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989483,0.00016243577,0.00040544313,0.00010318139,0.00024974762,0.0001309045],"domain_scores_gemma":[0.9992305,0.00018528994,0.00027379897,0.000096889366,0.00014829694,0.00006524342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042417794,0.00011033569,0.00016631433,0.000101348065,0.00006994848,0.000059436083,0.000054603363,0.00006649958,0.0000063624516],"category_scores_gemma":[0.00015253657,0.000083924264,0.000017542126,0.0002965725,0.000011448318,0.0002397544,0.0000041823896,0.00021199035,0.0000019597462],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020094609,0.000007596806,0.0004893815,0.000057170648,0.000027777407,0.0000030571318,0.0010760961,0.9965707,0.00074225117,0.00015986011,0.000804506,0.00004151048],"study_design_scores_gemma":[0.0006076574,0.000083839645,0.00025881396,0.000269432,0.000015889014,0.000031007537,0.0006140938,0.9974134,0.0004315575,0.000012532834,0.00015236778,0.00010942222],"about_ca_topic_score_codex":0.000009247058,"about_ca_topic_score_gemma":0.000012184849,"teacher_disagreement_score":0.91776246,"about_ca_system_score_codex":0.00020643455,"about_ca_system_score_gemma":0.000026058418,"threshold_uncertainty_score":0.3422332},"labels":[],"label_agreement":null},{"id":"W3035867163","doi":"10.1109/wcnc45663.2020.9120520","title":"SINR Coverage Analysis of Dense HetNets Over Fox’s H-Fading Channels","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Fading; Interference (communication); Computer science; Path loss; Simple (philosophy); Representation (politics); Algorithm; Signal-to-noise ratio (imaging); Noise (video); Electronic engineering; Telecommunications; Artificial intelligence; Decoding methods; Engineering; Wireless; Channel (broadcasting)","score_opus":0.013141509743551775,"score_gpt":0.22541507317113327,"score_spread":0.2122735634275815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035867163","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":[0.083112255,0.00020807827,0.91215295,0.000025857727,0.00011203178,0.00010702622,0.000010948536,0.00023492241,0.004035944],"genre_scores_gemma":[0.9977403,0.00003152296,0.0019418291,0.00008435512,0.000036901754,0.000004393615,0.000015277266,0.000024783698,0.000120636076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993772,0.000010992701,0.0002472109,0.00013469427,0.00009637183,0.00013356582],"domain_scores_gemma":[0.9996974,0.00003476804,0.000042599273,0.00013557133,0.000033476404,0.000056169767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003959054,0.00010559058,0.0002796222,0.00013539351,0.000015505848,0.000012550251,0.00006749057,0.000049363025,0.0002600509],"category_scores_gemma":[0.000027508813,0.00010934761,0.00009500836,0.0007858687,0.000007081007,0.00015829307,0.0000197061,0.000048787224,0.000015261494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035218102,0.0000035242597,0.00063038035,0.000040322608,0.0002867218,0.0000029448836,0.00039686778,0.9901721,0.007895154,0.00012375014,0.00019582041,0.00024889325],"study_design_scores_gemma":[0.00018060966,0.000011901197,0.00032499386,0.000010963768,0.00014960379,4.6630288e-7,0.000030077985,0.99208206,0.006771984,0.000011190783,0.00030067432,0.00012546846],"about_ca_topic_score_codex":0.00001196135,"about_ca_topic_score_gemma":0.000008119703,"teacher_disagreement_score":0.914628,"about_ca_system_score_codex":0.00003649714,"about_ca_system_score_gemma":0.0000037578102,"threshold_uncertainty_score":0.4459066},"labels":[],"label_agreement":null},{"id":"W3036463738","doi":"10.1109/ants47819.2019.9118164","title":"ADC Bit Allocation for massive MIMO using modified dynamic programming","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Function (biology); Computer science; Constraint (computer-aided design); Algorithm; Dynamic programming; Mathematical optimization; Mathematics","score_opus":0.012611475321021727,"score_gpt":0.2474542752204969,"score_spread":0.23484279989947518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036463738","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":[0.037519254,0.000064876265,0.95953673,0.000013744098,0.0003344987,0.0010608895,0.000003146096,0.0003820095,0.001084859],"genre_scores_gemma":[0.8033364,0.0000034010613,0.19592412,0.000006755864,0.000025926242,0.0000699627,0.00003841655,0.00004540263,0.0005496218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993939,0.0000060475504,0.0001861539,0.00015469502,0.000060847266,0.00019835478],"domain_scores_gemma":[0.9996602,0.000027959768,0.000040825453,0.00016689436,0.00007222859,0.000031882904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057819714,0.000114169256,0.00012423423,0.000059137317,0.000031450818,0.000027408103,0.000063460604,0.000071917224,0.00001778461],"category_scores_gemma":[0.000013868287,0.00011841687,0.000036492365,0.00012957504,0.000005874657,0.0002447542,0.000009793221,0.000043762015,0.000025521156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040497334,0.0000049058795,0.00004634543,0.00012658288,0.000015339623,1.315029e-7,0.000068938905,0.97201246,0.022662267,0.000675775,0.00001412511,0.0043690684],"study_design_scores_gemma":[0.0003331067,0.00001709176,0.00001220161,0.000032808213,0.00001043924,0.0000015810097,0.00016713701,0.9961832,0.0026977519,0.00008509942,0.00030604072,0.00015351876],"about_ca_topic_score_codex":0.000010377053,"about_ca_topic_score_gemma":0.000013585927,"teacher_disagreement_score":0.7658171,"about_ca_system_score_codex":0.00013138616,"about_ca_system_score_gemma":0.000011413494,"threshold_uncertainty_score":0.48289},"labels":[],"label_agreement":null},{"id":"W3036677245","doi":"10.1109/twc.2020.3004292","title":"Spectral-Energy Efficiency Trade-Off-Based Beamforming Design for MISO Non-Orthogonal Multiple Access Systems","year":2020,"lang":"en","type":"preprint","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Hashemite University","keywords":"Beamforming; Computer science; Mathematical optimization; Exploit; Performance metric; Optimization problem; Performance improvement; Efficient energy use; Key (lock); Spectral efficiency; Convex optimization; A priori and a posteriori; Regular polygon; Algorithm; Mathematics; Engineering","score_opus":0.04830084460360079,"score_gpt":0.27964665374658115,"score_spread":0.23134580914298036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036677245","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":[0.0003562197,0.0008780303,0.9917223,0.000403334,0.0016239649,0.00262758,0.0009419516,0.0012424994,0.00020414744],"genre_scores_gemma":[0.92773384,0.0010281241,0.065714456,0.000054030712,0.000119111115,0.004553306,0.00048248918,0.00027277504,0.000041850566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708563,0.0002119092,0.0011270493,0.00068785384,0.00032526697,0.0005622998],"domain_scores_gemma":[0.99544847,0.0011656024,0.0003358187,0.0026265373,0.00017307336,0.00025048948],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025526254,0.00072670844,0.0008207805,0.0004934164,0.00077183027,0.0002924637,0.0023955067,0.00055306335,0.0000078812445],"category_scores_gemma":[0.0000168224,0.00087605487,0.000441061,0.00055598293,0.00014953312,0.0003458364,0.000025721902,0.0011943569,0.00000922194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045876975,0.00024593037,0.0000022977397,0.0005728284,0.00017774281,0.000001098363,0.00025868203,0.9917011,0.0021672384,0.00022393776,0.00016817138,0.0044350727],"study_design_scores_gemma":[0.0008814744,0.000071991795,0.0000055346036,0.0006391007,0.00018095001,0.000005370737,0.0000785165,0.98340493,0.013023908,0.00009327364,0.0008285115,0.00078644213],"about_ca_topic_score_codex":0.00011599132,"about_ca_topic_score_gemma":0.00019909066,"teacher_disagreement_score":0.92737764,"about_ca_system_score_codex":0.0005710735,"about_ca_system_score_gemma":0.00031044916,"threshold_uncertainty_score":0.999369},"labels":[],"label_agreement":null},{"id":"W3037621318","doi":"10.1007/978-981-15-5784-2_25","title":"Performance Analysis of Mobile Network Software Testbed","year":2020,"lang":"en","type":"book-chapter","venue":"Smart innovation, systems and technologies","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":"Université du Québec à Chicoutimi; Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Testbed; Computer science; Quality of service; Software; Open source software; Service (business); Computer network; Computation; Open source; Service quality; Computer architecture; Operating system","score_opus":0.012038197039066964,"score_gpt":0.19854870269352706,"score_spread":0.1865105056544601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037621318","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":[0.015206243,0.059819598,0.7135692,0.0001507524,0.0049664704,0.007436748,0.0011542117,0.02748665,0.17021011],"genre_scores_gemma":[0.97685146,0.002380088,0.008232148,0.000010230861,0.00018167199,0.0003051689,0.0007021618,0.00017942292,0.011157616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984166,0.000004540683,0.00092898204,0.00030528134,0.00016381603,0.0001807593],"domain_scores_gemma":[0.99864066,0.00005414122,0.00043968885,0.00045437634,0.0003969638,0.000014156101],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014919967,0.0003368433,0.00086393335,0.0008862987,0.000074106174,0.000029922094,0.00018927452,0.0005324717,0.0000070047026],"category_scores_gemma":[0.0000643276,0.00033335073,0.00006206866,0.0014983992,0.00010747784,0.00013922752,0.000085665575,0.00026998122,0.0000056255903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006249426,0.000004877802,0.008467182,0.0020105527,0.0020677026,0.0000034517554,0.00007955042,0.86153054,0.00011126093,0.10776027,0.0028958144,0.015062563],"study_design_scores_gemma":[0.0011387671,0.00072106835,0.0016021177,0.005012583,0.0035194943,0.000046700818,0.0014527359,0.61455613,0.0008911716,0.008920499,0.35776687,0.0043718372],"about_ca_topic_score_codex":0.0000056840536,"about_ca_topic_score_gemma":0.00000598112,"teacher_disagreement_score":0.96164525,"about_ca_system_score_codex":0.00006836892,"about_ca_system_score_gemma":0.00002130062,"threshold_uncertainty_score":0.99991184},"labels":[],"label_agreement":null},{"id":"W3038281187","doi":"10.1109/twc.2020.3004292","title":"Spectral-energy efficiency trade-off-based beamforming design for MISO non-orthogonal multiple access systems","year":2020,"lang":"en","type":"article","venue":"ePubs (Science and Technology Facilities Council, Research Councils UK)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; Hashemite University","keywords":"Beamforming; Computer science; Mathematical optimization; Spectral efficiency; Optimization problem; Performance metric; Exploit; Performance improvement; Convex optimization; Resource allocation; Efficient energy use; Algorithm; Regular polygon; Mathematics","score_opus":0.09490881032377467,"score_gpt":0.2893876854535888,"score_spread":0.1944788751298141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038281187","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":[0.03279967,0.004591095,0.956269,0.0009591341,0.00046178783,0.0020533332,0.00028468375,0.0010342404,0.0015470126],"genre_scores_gemma":[0.994473,0.00038711994,0.0037369567,0.00006537293,0.000120821824,0.00089656515,0.000013425449,0.000053849013,0.00025290638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9935253,0.0000626823,0.000618961,0.0009873644,0.0031829101,0.0016227816],"domain_scores_gemma":[0.9948719,0.00070583815,0.000089496505,0.0005780203,0.0033936708,0.0003610626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.005266012,0.0004149459,0.00052785315,0.00064558006,0.001062417,0.00046728182,0.0013734011,0.0003447041,0.000016566726],"category_scores_gemma":[0.0047546607,0.00040388232,0.00006597903,0.002914389,0.0020475613,0.0010254368,0.00015702494,0.00059537287,0.0000110015635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002634303,0.00011540315,0.00051081297,0.0016298632,0.00008480597,0.00005673093,0.0032852928,0.86920524,0.089840144,0.00739641,0.014783908,0.012827956],"study_design_scores_gemma":[0.0009581876,0.00049840834,0.000010662013,0.00009494506,0.0000090308695,0.000021686861,0.0021006514,0.9284128,0.015989648,0.0005220172,0.05089887,0.0004830823],"about_ca_topic_score_codex":0.00008495487,"about_ca_topic_score_gemma":0.00009470128,"teacher_disagreement_score":0.9616733,"about_ca_system_score_codex":0.0026132718,"about_ca_system_score_gemma":0.0037885802,"threshold_uncertainty_score":0.99984133},"labels":[],"label_agreement":null},{"id":"W3039424145","doi":"10.1109/jsac.2020.3005492","title":"Performance Analysis of 5G Mobile Relay Systems for High-Speed Trains","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China; ZTE Corporation","keywords":"Relay; Fading; Computer science; Relay channel; Computer network; Bit error rate; Base station; Bottleneck; Channel (broadcasting); Wireless; Telecommunications; Embedded system","score_opus":0.02953153919983912,"score_gpt":0.27062967080487427,"score_spread":0.24109813160503515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039424145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.640831,0.0024762608,0.35155,0.0003901437,0.0005948891,0.0015950315,0.00024208405,0.00040084368,0.001919735],"genre_scores_gemma":[0.9924209,0.0018836727,0.005388476,0.000022234366,0.00006588379,0.00008292565,0.00007900756,0.000037349208,0.000019563373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987235,0.000116629206,0.0007149281,0.00011310433,0.00014300329,0.00018882714],"domain_scores_gemma":[0.99837863,0.00034099302,0.00024090124,0.0005711217,0.00037154034,0.00009682204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022077946,0.00014265458,0.00041400074,0.00044728824,0.00013014773,0.00003000081,0.00057449855,0.00008994688,0.0000069121156],"category_scores_gemma":[0.00012311591,0.00014649956,0.00009104696,0.002355298,0.000032037173,0.00019663163,0.000013006707,0.00041389873,0.0000033117017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021512373,0.00005103943,0.00070732017,0.000043804986,0.00033220428,3.765967e-7,0.0007358116,0.9931464,0.0042663463,0.00015798173,0.00020176693,0.00033540317],"study_design_scores_gemma":[0.00049586757,0.00013788385,0.0014202532,0.00010937865,0.00019536362,0.0000063511957,0.00015036769,0.99568564,0.0008969744,0.000005207393,0.00075157994,0.00014511573],"about_ca_topic_score_codex":0.0000087961225,"about_ca_topic_score_gemma":0.000030401286,"teacher_disagreement_score":0.3515899,"about_ca_system_score_codex":0.00019936672,"about_ca_system_score_gemma":0.00004679517,"threshold_uncertainty_score":0.5974078},"labels":[],"label_agreement":null},{"id":"W3039600855","doi":"10.1109/vtc2020-spring48590.2020.9128531","title":"Correlated Placement of Small Cell Base Stations: A Coverage Enriched HetNet with Massive MIMO","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); University of Alberta","funders":"","keywords":"Macrocell; Stochastic geometry; Heterogeneous network; Base station; Computer science; Cellular network; Coverage probability; Voronoi diagram; MIMO; Computer network; Distributed computing; Topology (electrical circuits); Wireless network; Wireless; Mathematics; Telecommunications; Geometry","score_opus":0.009588392622378329,"score_gpt":0.1873455347611604,"score_spread":0.17775714213878208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039600855","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":[0.018699791,0.00010307664,0.9749089,0.00004595075,0.0000497415,0.00043436678,0.00002732779,0.00023024606,0.0055005867],"genre_scores_gemma":[0.9576749,0.00003182721,0.041655365,0.00007705315,0.000012702754,0.00003244767,0.000082376864,0.00003671443,0.00039659478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938655,0.000017678576,0.0002412105,0.00013706744,0.000089919005,0.0001276051],"domain_scores_gemma":[0.9996059,0.00005047791,0.000068575384,0.00012149602,0.00007435382,0.000079187776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002747343,0.00012679107,0.00015884124,0.000040651987,0.000016847584,0.000009063615,0.000057796315,0.000042603562,0.00017363764],"category_scores_gemma":[0.000018260731,0.00011465442,0.000019226063,0.00024169862,0.0000104316305,0.0000951153,0.000013018654,0.00007809676,0.000027654332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037455648,0.000018791237,0.0001434399,0.00013948006,0.000027329796,0.0000069018915,0.0008006019,0.989683,0.008429852,0.00008517374,0.0005753036,0.000052707506],"study_design_scores_gemma":[0.0014339545,0.00016175688,0.000023368346,0.000027427952,0.000025616207,0.0000011003104,0.00067653746,0.9826536,0.0145466365,0.000007635582,0.00026711405,0.00017523862],"about_ca_topic_score_codex":0.000010969597,"about_ca_topic_score_gemma":0.0000107397145,"teacher_disagreement_score":0.93897516,"about_ca_system_score_codex":0.000050722883,"about_ca_system_score_gemma":0.000022377882,"threshold_uncertainty_score":0.46754712},"labels":[],"label_agreement":null},{"id":"W3040147542","doi":"10.1109/access.2020.3006518","title":"Deep Learning Based Channel Estimation for MIMO Systems With Received SNR Feedback","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; Ministry of Education; National Research Foundation","keywords":"Fading; MIMO; Computer science; Channel (broadcasting); Channel state information; Block (permutation group theory); Deep learning; Autoencoder; Precoding; Transmitter; Signal-to-noise ratio (imaging); Algorithm; Control theory (sociology); Machine learning; Artificial intelligence; Wireless; Telecommunications; Mathematics","score_opus":0.025351325123584734,"score_gpt":0.2524618094644382,"score_spread":0.22711048434085346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040147542","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":[0.0034799795,0.00015661157,0.9941521,0.00008103577,0.00043554528,0.0007819254,0.0000056099093,0.0006119814,0.00029518246],"genre_scores_gemma":[0.98858756,0.000008439543,0.010684861,0.00005128019,0.000222139,0.00025776555,0.00006374446,0.00008767537,0.000036521356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991864,0.000026009464,0.00023364394,0.00022089237,0.00011441014,0.00021865277],"domain_scores_gemma":[0.9994791,0.00008406393,0.00009640294,0.00013004975,0.00011901727,0.00009133989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000736968,0.0001726156,0.00021909381,0.000060488666,0.000084657935,0.00013183712,0.0001851159,0.00007809771,0.000006043762],"category_scores_gemma":[0.000068685236,0.00016859517,0.000029841849,0.00027877724,0.000011645182,0.00057741755,0.000008475153,0.0001158493,0.00001855398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039516857,0.000004296141,0.00007474268,0.0005249951,0.000021334765,0.0000015296723,0.0002152967,0.9975626,0.0005817639,0.0000049979367,0.00022627893,0.0007426402],"study_design_scores_gemma":[0.0007545051,0.00006598051,0.000038893486,0.00013001998,0.000021389813,0.0000018168483,0.00008754,0.9949327,0.0034366446,0.00000795419,0.00030584956,0.00021669654],"about_ca_topic_score_codex":0.000012501801,"about_ca_topic_score_gemma":0.000007779132,"teacher_disagreement_score":0.9851076,"about_ca_system_score_codex":0.00007050786,"about_ca_system_score_gemma":0.00001331623,"threshold_uncertainty_score":0.68751115},"labels":[],"label_agreement":null},{"id":"W3040368914","doi":"10.1109/twc.2021.3080672","title":"Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Codebook; Beamforming; Deep learning; MIMO; Channel state information; Precoding; Unsupervised learning; Synchronization (alternating current); Spectral efficiency","score_opus":0.01892477748231792,"score_gpt":0.24882822610605185,"score_spread":0.22990344862373394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040368914","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":[0.0030800276,0.0004778851,0.99387425,0.00022746097,0.00035465157,0.00040697842,0.00004888384,0.000609062,0.00092081213],"genre_scores_gemma":[0.9361875,0.0012597239,0.06125847,0.00003665276,0.000027972585,0.0005902561,0.00012819869,0.00009367054,0.0004175573],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989374,0.00008396315,0.00037584378,0.00021683153,0.00010793485,0.00027797747],"domain_scores_gemma":[0.99809533,0.00042427587,0.000058643804,0.0010914559,0.00024119504,0.000089124216],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000090758884,0.00020493056,0.00023718407,0.00014552793,0.0006678224,0.00005493884,0.00038863203,0.000088377354,0.000039334835],"category_scores_gemma":[0.000015138345,0.00025715487,0.00014772924,0.0003712654,0.00005958489,0.0002970456,0.0000044786334,0.00042536622,0.000032784887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059531367,0.00007437998,0.0000034547609,0.000057808335,0.00007629605,0.0000011404338,0.0003956097,0.94986546,0.01009752,0.00028671746,0.00002195379,0.039113708],"study_design_scores_gemma":[0.00057652604,0.00002667158,0.0000042728266,0.000100699974,0.000060156053,0.00001645446,0.00074032234,0.9221526,0.071980864,0.000092325805,0.0039549945,0.00029413193],"about_ca_topic_score_codex":0.0000074103664,"about_ca_topic_score_gemma":0.00012820154,"teacher_disagreement_score":0.9331075,"about_ca_system_score_codex":0.00018378688,"about_ca_system_score_gemma":0.00004168067,"threshold_uncertainty_score":0.9999881},"labels":[],"label_agreement":null},{"id":"W3041368975","doi":"10.48550/arxiv.2007.06512","title":"Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Precoding; Computer science; Telecommunications link; Channel state information; MIMO; Base station; Quantization (signal processing); Channel (broadcasting); Overhead (engineering); Duplex (building); Control theory (sociology); Computer engineering; Algorithm; Computer network; Telecommunications; Artificial intelligence; Wireless","score_opus":0.04296322851084605,"score_gpt":0.18033082339041942,"score_spread":0.13736759487957337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041368975","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":[0.047075726,0.00014075844,0.9511194,0.000022192975,0.00029990997,0.0007664295,0.000048625006,0.00033725123,0.00018967726],"genre_scores_gemma":[0.9967955,0.00032580126,0.0023424341,0.000004996592,0.00007274649,0.000009266356,0.0002444054,0.00006926565,0.000135612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987843,0.00004626324,0.00022079915,0.0006084206,0.000029653263,0.00031056436],"domain_scores_gemma":[0.99934125,0.000120133875,0.00013034674,0.00021043619,0.00007752247,0.00012033672],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000776337,0.00031059334,0.000385097,0.0001783982,0.00007545955,0.000039148697,0.00020537125,0.00030614715,0.000006712117],"category_scores_gemma":[0.00011050057,0.00042160953,0.00008517232,0.00028995212,0.00003264743,0.00021238228,0.00026780707,0.0005354447,0.000008004212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038087303,0.000009026487,0.0012491888,0.0004758676,0.000060511375,0.00003307613,0.0004246481,0.99703234,0.00011810082,0.00034198226,0.00002372649,0.00019346482],"study_design_scores_gemma":[0.000936821,0.000020657533,0.00042693003,0.00021838477,0.00004968275,9.618709e-7,0.00052391854,0.9960116,0.00015088198,0.0011484814,0.00010782027,0.00040386396],"about_ca_topic_score_codex":0.00002525646,"about_ca_topic_score_gemma":0.00007053387,"teacher_disagreement_score":0.9497197,"about_ca_system_score_codex":0.00031873464,"about_ca_system_score_gemma":0.000017555705,"threshold_uncertainty_score":0.9998236},"labels":[],"label_agreement":null},{"id":"W3043012182","doi":"10.1109/tvt.2020.3009138","title":"User Grouping and Hybrid RF/Baseband Precoding for Multi-User Massive MIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precoding; Baseband; MIMO; Zero-forcing precoding; Radio frequency; Electronic engineering; Computer science; Beamforming; Spatial multiplexing; Multi-user MIMO; Engineering; Telecommunications; Bandwidth (computing)","score_opus":0.017273189764028085,"score_gpt":0.22859426216324585,"score_spread":0.21132107239921777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043012182","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024803638,0.00057456904,0.9714992,0.00026103528,0.00051966775,0.0010032719,0.00006638376,0.0012583553,0.000013882294],"genre_scores_gemma":[0.977486,0.00012321834,0.021610819,0.000044736633,0.00004820984,0.00048265554,0.000007905071,0.00009495131,0.00010148237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998892,0.000018098064,0.00032149325,0.00037787497,0.00007841822,0.00031210066],"domain_scores_gemma":[0.99948984,0.00005234631,0.00006111761,0.00023471726,0.000074053416,0.000087895685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006211516,0.000248872,0.00032384865,0.00026539652,0.00016235717,0.00003651799,0.00013436688,0.00024939934,0.000005596395],"category_scores_gemma":[0.000016920721,0.0002738717,0.00007225149,0.00030182197,0.000057688154,0.00020436464,0.0000021907726,0.00031296152,0.000013280004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021280817,0.000023314105,0.000019582067,0.0003128843,0.00011846343,0.000012792243,0.0000915025,0.95782876,0.03845836,0.00024311575,0.00007960546,0.0027903167],"study_design_scores_gemma":[0.0012220679,0.00012302778,0.0000036250544,0.00013606124,0.000076124845,0.000046003686,0.00029026123,0.848443,0.14531577,0.0000148016425,0.003985689,0.0003436077],"about_ca_topic_score_codex":0.000005005414,"about_ca_topic_score_gemma":0.000008490193,"teacher_disagreement_score":0.9526824,"about_ca_system_score_codex":0.00009430552,"about_ca_system_score_gemma":0.000009794579,"threshold_uncertainty_score":0.99997133},"labels":[],"label_agreement":null},{"id":"W3044021186","doi":"10.1109/iccworkshops49005.2020.9145363","title":"Power Minimization Via Rate Splitting in Downlink Cloud-Radio Access Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Telecommunications link; Cloud computing; Computer network; Transmitter power output; Radio access network; Base station; Interference (communication); C-RAN; Wireless; Provisioning; Optimization problem; Access network; Transmitter; Decoding methods; Channel (broadcasting); Telecommunications; Algorithm; Mobile station","score_opus":0.011093033206168092,"score_gpt":0.2277496515959425,"score_spread":0.2166566183897744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044021186","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":[0.005251498,0.0001613712,0.98802334,0.00017090398,0.00045889322,0.00027603758,0.000001207982,0.0005145229,0.005142231],"genre_scores_gemma":[0.9907966,0.000045435867,0.008474824,0.00026107562,0.0002615773,0.000017766111,0.000031813004,0.00005373711,0.000057165962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990911,0.000034697463,0.00036579763,0.00020924133,0.0000620514,0.00023712467],"domain_scores_gemma":[0.9996466,0.000049275033,0.000048205355,0.00013635209,0.0000347438,0.000084814004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010037021,0.00015263587,0.00018790447,0.000059556485,0.000027015725,0.0000592813,0.00015713865,0.0001040726,0.00014393798],"category_scores_gemma":[0.00005203931,0.00016182991,0.00002836819,0.00052712986,0.000008554448,0.00047219553,0.000041763516,0.00015634623,0.000028619243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069233965,0.0000038598228,0.0011715665,0.000029260134,0.0000074135014,0.0000043097552,0.00023216062,0.99685377,0.00034159352,0.00010110133,0.00058857974,0.0006594725],"study_design_scores_gemma":[0.00033778048,0.000009918223,0.00047660462,0.000026231884,0.0000032937587,0.0000014325858,0.000043758486,0.9978128,0.0004980214,0.000026510395,0.000577762,0.00018588608],"about_ca_topic_score_codex":0.0000074451427,"about_ca_topic_score_gemma":0.000011191877,"teacher_disagreement_score":0.9855451,"about_ca_system_score_codex":0.00007206966,"about_ca_system_score_gemma":0.0000066453513,"threshold_uncertainty_score":0.6599232},"labels":[],"label_agreement":null},{"id":"W3045498129","doi":"10.1109/iwcmc48107.2020.9148256","title":"LDPC for receive antennas selection in massive MiMo","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"MIMO; Computer science; Low-density parity-check code; Channel state information; Channel (broadcasting); Energy consumption; Selection (genetic algorithm); Algorithm; Wireless; 3G MIMO; Antenna (radio); Efficient energy use; Transmitter; Base station; Decoding methods; Telecommunications; Engineering","score_opus":0.013913628485197393,"score_gpt":0.22589373495441045,"score_spread":0.21198010646921306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045498129","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":[0.0031980511,0.000045868168,0.99286175,0.00021236046,0.00011554174,0.0003457812,0.0000035561031,0.00030561263,0.0029114743],"genre_scores_gemma":[0.95294017,0.000020760224,0.046500526,0.000097893244,0.000101856145,0.00007454861,0.000010722037,0.000031474843,0.00022208145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996077,0.0000060851917,0.0001323017,0.00010803654,0.000029080249,0.00011683021],"domain_scores_gemma":[0.999851,0.000024027218,0.000015329002,0.000029983472,0.000045071152,0.000034578683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024637722,0.00006930788,0.00009414466,0.0000395889,0.000013279427,0.0000080023465,0.00003384698,0.000045645273,0.000027100947],"category_scores_gemma":[0.00004520313,0.00007268289,0.00001896672,0.00021731743,0.0000033895087,0.00013450035,0.0000044397702,0.00005209725,0.00001937276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015854315,0.0000038994035,0.0002864371,0.00007095883,0.000009398466,8.471103e-7,0.00032984308,0.96866244,0.027228046,0.0003906449,0.0020195472,0.0009820727],"study_design_scores_gemma":[0.00037723553,0.0000387144,0.00009407364,0.000015382755,0.0000029121722,9.313748e-7,0.00021474424,0.98428965,0.012575839,0.00007984906,0.0022011544,0.00010950317],"about_ca_topic_score_codex":0.00000622136,"about_ca_topic_score_gemma":0.000046269597,"teacher_disagreement_score":0.9497421,"about_ca_system_score_codex":0.00006260072,"about_ca_system_score_gemma":0.0000053487606,"threshold_uncertainty_score":0.29639223},"labels":[],"label_agreement":null},{"id":"W3045791858","doi":"10.1109/iwcmc48107.2020.9148477","title":"Performance Analysis of Mobile IoT Networks over Composite Fading Channels","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Fading; Base station; Computer science; Computer network; Channel (broadcasting); Mobility model; Transmission (telecommunications); Monte Carlo method; Mobile radio; Electronic engineering; Telecommunications; Engineering; Statistics; Mathematics","score_opus":0.008262247944274515,"score_gpt":0.20937084310207427,"score_spread":0.20110859515779975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045791858","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":[0.2788356,0.00013268455,0.7192595,0.000004022399,0.00007423183,0.00010087533,0.0000020262958,0.0001767275,0.001414316],"genre_scores_gemma":[0.99685526,0.000044387878,0.00290978,0.000038820952,0.000060071,0.000011259688,0.00001744279,0.000018369603,0.000044602824],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949205,0.000006214708,0.00021465392,0.00010248753,0.000062549916,0.00012207225],"domain_scores_gemma":[0.99976367,0.000018589999,0.000036820944,0.000105300795,0.000025883839,0.00004974622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003266464,0.000087662316,0.00023554421,0.00008817015,0.00001946316,0.000008069907,0.00007143669,0.000041183124,0.000111133115],"category_scores_gemma":[0.000001849258,0.00008826168,0.00005958357,0.000833335,0.000007893891,0.00009307749,0.000016977267,0.000056837715,0.000005341507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031557079,0.0000024883993,0.0036157863,0.00003738764,0.00019053691,2.6443456e-7,0.00025093518,0.99292356,0.0024971333,0.000010968081,0.00006760124,0.00040019565],"study_design_scores_gemma":[0.000089201596,0.000020409596,0.0005860051,0.000011219776,0.000097844495,1.6773504e-7,0.000025475158,0.99630725,0.00266988,2.2627013e-7,0.00009924948,0.00009305614],"about_ca_topic_score_codex":0.0000044623803,"about_ca_topic_score_gemma":0.0000013702719,"teacher_disagreement_score":0.71801966,"about_ca_system_score_codex":0.000023306342,"about_ca_system_score_gemma":0.0000015041029,"threshold_uncertainty_score":0.35992068},"labels":[],"label_agreement":null},{"id":"W3046077609","doi":"10.1109/iwcmc48107.2020.9148107","title":"Improvement of SINR for MIMO channels in terahertz communication","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Precoding; Spatial multiplexing; MIMO; Computer science; Transmission (telecommunications); Terahertz radiation; Electronic engineering; Channel (broadcasting); Telecommunications; Communications system; Channel capacity; 3G MIMO; Multiplexing; Computer network; Engineering; Physics","score_opus":0.016967636788767986,"score_gpt":0.23152734493820903,"score_spread":0.21455970814944106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046077609","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":[0.011433761,0.00016558472,0.98579913,0.00028542313,0.00006401876,0.0005501283,0.0000053473345,0.00010644313,0.0015901632],"genre_scores_gemma":[0.976122,0.00002155097,0.02364983,0.00005652072,0.000016172307,0.00006142281,0.000015653273,0.000014049065,0.000042762615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967104,0.0000037748944,0.00017960528,0.000053863863,0.000026229653,0.00006546343],"domain_scores_gemma":[0.99980474,0.000022265032,0.000022212496,0.00010862829,0.000023916233,0.000018223514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039112096,0.000047392197,0.000088041554,0.00002310531,0.0000065835757,0.0000037996506,0.0000688519,0.000024633531,0.000010915458],"category_scores_gemma":[0.000016121361,0.000048984093,0.000015259779,0.00008118453,0.000004362493,0.00008138179,0.000012907008,0.000025830106,0.0000020200043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000106556745,0.00001580452,0.00008443304,0.0002521227,0.000011457711,7.764478e-8,0.0011740221,0.9036148,0.08060827,0.00072673586,0.00051188306,0.012989686],"study_design_scores_gemma":[0.00050887093,0.00005503651,0.000016457998,0.00002862767,0.0000024498645,8.412627e-8,0.0002163505,0.9033481,0.09367666,0.00013624928,0.0019308636,0.00008023711],"about_ca_topic_score_codex":0.0000120608165,"about_ca_topic_score_gemma":0.0000132048135,"teacher_disagreement_score":0.9646883,"about_ca_system_score_codex":0.00002480252,"about_ca_system_score_gemma":0.0000026318328,"threshold_uncertainty_score":0.19975133},"labels":[],"label_agreement":null},{"id":"W3046142484","doi":"10.1109/icc40277.2020.9148626","title":"A game-theoretic approach to proportional fair resource sharing in 5G mobile networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Proportionally fair; Scheduling (production processes); Radio access network; Computer network; Distributed computing; Game theory; Slicing; Cellular network; Dynamic priority scheduling; Quality of service; Round-robin scheduling; Mathematical optimization; Base station; Mobile station; Mathematics","score_opus":0.00996176772711771,"score_gpt":0.20447211184067757,"score_spread":0.19451034411355986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046142484","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":[0.0065278034,0.000087863504,0.9558747,0.000031117386,0.000035954214,0.0006011874,0.0000011670189,0.00047373914,0.036366496],"genre_scores_gemma":[0.985477,0.0000036079846,0.013787334,0.00013306967,0.00012225442,0.00022982025,0.00002710475,0.000047266345,0.00017257813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915355,0.0000111353,0.0002642651,0.00025348525,0.00009660718,0.00022093761],"domain_scores_gemma":[0.9996868,0.00001341705,0.000019629788,0.00014732394,0.000017254133,0.00011559507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009311729,0.00012271278,0.00014936505,0.00005900347,0.000015544376,0.000023618211,0.0001401536,0.00006315347,0.000038882903],"category_scores_gemma":[0.000021865713,0.00012439697,0.000025338704,0.00040956534,0.000011879557,0.0001026439,0.000041966432,0.00014570699,0.000028193743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074832237,0.000010416705,0.0003531861,0.00006245224,0.0000044377607,0.0000017265096,0.00050606177,0.99552816,0.0000984108,0.0026165117,0.00026219653,0.0005489419],"study_design_scores_gemma":[0.00017229338,0.000020716529,0.00008058393,0.000027099415,0.000002187602,0.0000033032702,0.00025587349,0.9978685,0.0001361318,0.0000715612,0.0012076352,0.00015412077],"about_ca_topic_score_codex":0.0000042080396,"about_ca_topic_score_gemma":0.000002529595,"teacher_disagreement_score":0.9789492,"about_ca_system_score_codex":0.00007705873,"about_ca_system_score_gemma":0.0000054928855,"threshold_uncertainty_score":0.5072761},"labels":[],"label_agreement":null},{"id":"W3046403554","doi":"10.1109/twc.2020.3011101","title":"Joint Spatial Division and Multiplexing in Massive MIMO: A Neighbor-Based Approach","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Nanjing University of Posts and Telecommunications; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"MIMO; Telecommunications link; Computer science; Channel state information; Beamforming; Multiplexing; Spectral efficiency; Interference (communication); Duplex (building); Channel (broadcasting); Spatial multiplexing; Joint (building); Algorithm; Topology (electrical circuits); Telecommunications; Wireless; Mathematics; Engineering","score_opus":0.03480885086468032,"score_gpt":0.24161715416103322,"score_spread":0.20680830329635289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046403554","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":[0.0067852316,0.00013888672,0.9911402,0.0005794919,0.000078284174,0.0004907176,0.000056960904,0.0003493827,0.00038083523],"genre_scores_gemma":[0.963216,0.00017878176,0.036193714,0.000079175836,0.000012780268,0.00022538958,0.00003576991,0.00005341773,0.000004988439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989897,0.00010477435,0.00037131237,0.00023020423,0.00011333059,0.00019065183],"domain_scores_gemma":[0.99896187,0.00015966146,0.000056464836,0.0006603356,0.00004614278,0.000115520066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000074049276,0.00019531872,0.0002401222,0.00017525665,0.00019994119,0.000038245063,0.00027964354,0.00010747095,0.000008856973],"category_scores_gemma":[0.00000954617,0.00022257665,0.000057171972,0.00042174154,0.00008404951,0.00020018844,0.000005641788,0.00045167067,0.000010982198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010855382,0.000098204655,0.00004406738,0.00006352669,0.000015364169,6.4604626e-7,0.0008841404,0.97966915,0.0066625546,0.00009032837,0.0000062509357,0.012454923],"study_design_scores_gemma":[0.0007858968,0.000033247223,0.00015397336,0.00009170443,0.0000118339,9.468689e-7,0.00025032152,0.9926599,0.005717876,0.000011846171,0.00007123912,0.00021118116],"about_ca_topic_score_codex":0.00009680981,"about_ca_topic_score_gemma":0.00019001453,"teacher_disagreement_score":0.95643073,"about_ca_system_score_codex":0.00011147551,"about_ca_system_score_gemma":0.000023723727,"threshold_uncertainty_score":0.90764123},"labels":[],"label_agreement":null},{"id":"W3046426047","doi":"10.1016/j.comcom.2020.07.041","title":"Evolutionary game theoretical model for stable femtocells’ clusters formation in HetNets","year":2020,"lang":"en","type":"article","venue":"Computer Communications","topic":"Advanced MIMO Systems Optimization","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Femtocell; Computer science; Heterogeneous network; Distributed computing; Resource allocation; Evolutionary game theory; Cluster analysis; Cellular network; Particle swarm optimization; Scalability; Throughput; Stability (learning theory); Mathematical optimization; Computer network; Game theory; Wireless network; Wireless; Artificial intelligence; Base station; Algorithm; Mathematics","score_opus":0.03710611881029376,"score_gpt":0.24796688270181869,"score_spread":0.21086076389152492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046426047","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":[0.0003720323,0.00037081714,0.996284,0.0012102226,0.000060178045,0.00058560946,0.000025734042,0.0002748645,0.0008165432],"genre_scores_gemma":[0.70859945,0.000087403285,0.2907869,0.00018154099,0.000032450054,0.00012783684,0.00015410203,0.000022807464,0.0000075085554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993024,0.00004110007,0.00030939712,0.00011610267,0.000060285387,0.00017074146],"domain_scores_gemma":[0.99915975,0.000123492,0.000036735437,0.0005484928,0.000064759195,0.000066772795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006580698,0.00010877391,0.00013787199,0.00006518826,0.00007137524,0.000025962385,0.00044859786,0.000060636667,0.0000043352843],"category_scores_gemma":[0.000016251059,0.00012774485,0.000040615116,0.00019299203,0.000058015725,0.0003586188,0.0001615021,0.00013959024,0.00001624547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000054546463,0.000018188986,0.000010628847,0.000056301007,0.000005505931,1.1548454e-7,0.0013488769,0.9757417,0.000099787045,0.020140888,0.001673852,0.00089871854],"study_design_scores_gemma":[0.00038586187,0.000015991061,0.000016283497,0.000031138938,0.00000529282,0.0000023735452,0.000041495405,0.99570847,0.000041044277,0.0026134613,0.0010097168,0.0001288876],"about_ca_topic_score_codex":0.0000010059224,"about_ca_topic_score_gemma":0.0000064783926,"teacher_disagreement_score":0.7082274,"about_ca_system_score_codex":0.00012149569,"about_ca_system_score_gemma":0.000014282216,"threshold_uncertainty_score":0.5209283},"labels":[],"label_agreement":null},{"id":"W3046846865","doi":"10.1109/lcomm.2020.3013377","title":"No Cross-Validation Required: An Analytical Framework for Regularized Mixed-Integer Problems","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Regularization (linguistics); Mathematical optimization; Upper and lower bounds; Rate of convergence; Differentiable function; Computer science; Algorithm; Benchmark (surveying); Applied mathematics; Mathematics; Convergence (economics); Artificial intelligence; Mathematical analysis","score_opus":0.05706915218197176,"score_gpt":0.31891226958177826,"score_spread":0.2618431173998065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046846865","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":[0.005297827,0.00006542718,0.9882155,0.0042473045,0.00034143074,0.00072697207,0.000035096586,0.0006875718,0.00038287035],"genre_scores_gemma":[0.6306992,0.00004618049,0.36703297,0.0010837404,0.00026539175,0.00036246152,0.00036210511,0.00010054563,0.00004739385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987929,0.00009828864,0.00047580752,0.00025289028,0.00012617931,0.00025395094],"domain_scores_gemma":[0.99783856,0.0002420342,0.00009932982,0.0015035215,0.00017939077,0.00013718408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020446646,0.00019021398,0.00023423422,0.00007519486,0.00020114743,0.00013654986,0.00081121485,0.00014641845,0.000014884883],"category_scores_gemma":[0.00028613865,0.00021746046,0.00009157488,0.00033823127,0.00012666197,0.00059659884,0.000058028698,0.00029544625,0.0000870749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028346267,0.000043944103,0.00017712392,0.00014452096,0.00008120103,4.779378e-7,0.0007118195,0.9325956,0.053407725,0.007745215,0.004588036,0.0004759995],"study_design_scores_gemma":[0.00046605928,0.000041825864,0.00003179548,0.00007636649,0.00003805338,0.00000208901,0.00003944615,0.98275536,0.0024662183,0.00060104154,0.013171123,0.0003106167],"about_ca_topic_score_codex":0.000004638068,"about_ca_topic_score_gemma":0.0000033015438,"teacher_disagreement_score":0.6254014,"about_ca_system_score_codex":0.00011871104,"about_ca_system_score_gemma":0.000014866168,"threshold_uncertainty_score":0.886778},"labels":[],"label_agreement":null},{"id":"W3047121353","doi":"","title":"Bit Error Rate Analysis of MIMO Schemes in LTE Systems","year":2013,"lang":"en","type":"article","venue":"International Conference on Wireless and Mobile 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; Bit error rate; Electronic engineering; LTE Advanced; Algorithm; Telecommunications; Decoding methods; Engineering; Telecommunications link; Beamforming","score_opus":0.03660079285349878,"score_gpt":0.29859967894694844,"score_spread":0.2619988860934497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047121353","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":[0.92548287,0.0011937463,0.05820272,0.00035780994,0.00031564693,0.0009331653,0.0001470475,0.00015783035,0.013209151],"genre_scores_gemma":[0.9967539,0.0015617558,0.0008736056,0.000009692288,0.0000075502066,0.00051186234,0.00011910089,0.0000121540215,0.00015042567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992902,0.00005147603,0.00035611505,0.00012163352,0.00008640295,0.000094144234],"domain_scores_gemma":[0.9990077,0.00011141974,0.00009395271,0.00050610857,0.00024390101,0.00003688946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009946895,0.00010369407,0.000223792,0.0003918458,0.000033779746,0.000052345742,0.00041003939,0.000052993608,0.000076974306],"category_scores_gemma":[0.000016837332,0.00010521353,0.00003810003,0.00034025198,0.00006782574,0.00020478874,0.00007630513,0.00011549566,0.000011336377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008574694,0.00016781407,0.008133504,0.00007060745,0.0007002263,6.157132e-7,0.0009674139,0.7967017,0.018503826,0.16629612,0.000089353016,0.008360214],"study_design_scores_gemma":[0.0001681074,0.000013562827,0.0028596453,0.000108282016,0.00002938568,4.554304e-7,0.00050355925,0.9953368,0.00020274031,0.000109032735,0.0005611881,0.000107255626],"about_ca_topic_score_codex":0.00037192184,"about_ca_topic_score_gemma":0.00022124051,"teacher_disagreement_score":0.19863507,"about_ca_system_score_codex":0.00005264932,"about_ca_system_score_gemma":0.0000143058505,"threshold_uncertainty_score":0.4290483},"labels":[],"label_agreement":null},{"id":"W3047396735","doi":"10.1109/spawc48557.2020.9154271","title":"A Clustering Approach to Wireless Scheduling","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Distributed computing; Scheduling (production processes); Cluster analysis; Wireless network; Computer network; Dynamic priority scheduling; Fair-share scheduling; Wireless; Job shop scheduling; Quality of service; Mathematical optimization; Artificial intelligence; Telecommunications; Mathematics","score_opus":0.0199727726441156,"score_gpt":0.215540073169448,"score_spread":0.19556730052533242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047396735","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":[0.0038722537,0.000026317763,0.96258384,0.00006464914,0.000076369004,0.00016582661,6.9635115e-7,0.00076075736,0.032449286],"genre_scores_gemma":[0.6858755,0.0000018484976,0.31380218,0.00015015123,0.00008445514,0.000016233253,0.0000021834821,0.000026778922,0.000040669467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956,0.000004219645,0.0001223826,0.0001267392,0.000051981002,0.00013470717],"domain_scores_gemma":[0.9997722,0.0000059600666,0.0000072607895,0.0000863581,0.00001458153,0.00011365891],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024506951,0.00008310386,0.000100563666,0.000026211574,0.000019728717,0.000020573734,0.00007922486,0.00003085882,0.00000956485],"category_scores_gemma":[0.0000121408175,0.00008710207,0.000016631977,0.00020170293,0.0000026531734,0.00010403263,0.000031613734,0.000059010137,0.0000830248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016416176,0.0000019471386,0.000014239923,0.0000686478,0.00000527192,3.9488182e-7,0.00048896694,0.99051374,0.0067936685,0.00013853444,0.00009459529,0.0018783538],"study_design_scores_gemma":[0.000091700815,0.000006132897,0.0000040727573,0.000010125062,0.0000017214538,0.0000016669221,0.00021916853,0.99711066,0.0021558478,0.0000017958126,0.00028519327,0.000111912144],"about_ca_topic_score_codex":0.0000018237303,"about_ca_topic_score_gemma":0.0000010117456,"teacher_disagreement_score":0.6820032,"about_ca_system_score_codex":0.000027416994,"about_ca_system_score_gemma":0.0000027542208,"threshold_uncertainty_score":0.35519192},"labels":[],"label_agreement":null},{"id":"W3048045154","doi":"10.1109/tcomm.2020.3014680","title":"Enhanced Channel Estimation in Massive MIMO via Coordinated Pilot Design","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Air Force Office of Scientific Research; Futurewei Technologies","keywords":"MIMO; Channel (broadcasting); Rayleigh fading; Mean squared error; Mathematical optimization; Algorithm; Computer science; Bipartite graph; Quadratic equation; Control theory (sociology); Fading; Mathematics; Statistics; Telecommunications; Theoretical computer science","score_opus":0.04309593948428443,"score_gpt":0.25991909043634104,"score_spread":0.21682315095205662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048045154","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":[0.00015869766,0.00011024426,0.99651086,0.0009346207,0.000167873,0.0007065836,0.000024218814,0.0006274234,0.0007594949],"genre_scores_gemma":[0.9508144,0.00023617309,0.04829559,0.00008247909,0.000009584757,0.00044093354,0.000028044267,0.000056200886,0.000036540037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898106,0.0001390482,0.00039262124,0.00019068205,0.000093196046,0.00020340961],"domain_scores_gemma":[0.9988116,0.00022495884,0.000062187006,0.0007183469,0.00008347693,0.00009942127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090613736,0.00019268939,0.00020572789,0.00018798657,0.00018020534,0.000025776213,0.0004259485,0.00008564175,0.000033247965],"category_scores_gemma":[0.000016843413,0.00023685691,0.000044012755,0.0008301476,0.000053664753,0.00033568975,0.000003006742,0.00038519592,0.00014364405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024119836,0.0000950254,1.8984602e-7,0.000021858708,0.000024974359,5.317418e-7,0.0007899435,0.9775635,0.017417895,0.000038995986,0.000053609285,0.0039693764],"study_design_scores_gemma":[0.00054514164,0.000116905285,0.000006604329,0.000056762,0.0000192621,0.0000015229484,0.00011458298,0.95031273,0.04842725,0.0001601477,0.000032175525,0.00020691419],"about_ca_topic_score_codex":0.00002554401,"about_ca_topic_score_gemma":0.00007677569,"teacher_disagreement_score":0.95065576,"about_ca_system_score_codex":0.00018668815,"about_ca_system_score_gemma":0.00002488708,"threshold_uncertainty_score":0.9658745},"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":"W3057233808","doi":"10.1109/tvt.2021.3103634","title":"Total Cost of Ownership Optimization for Direct Air-to-Ground Communication Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre de Santé et de Services Sociaux Cavendish","funders":"EIT Digital","keywords":"Backhaul (telecommunications); Computer network; Beamforming; Computer science; Broadband; Base station; Software deployment; Mobile telephony; Engineering; Telecommunications; Mobile radio","score_opus":0.010426601281803803,"score_gpt":0.22788730254810993,"score_spread":0.21746070126630612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3057233808","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034654594,0.00035900268,0.9941874,0.0002349542,0.00033218396,0.00064933894,0.000031787302,0.00058510696,0.00015477769],"genre_scores_gemma":[0.9275018,0.00015417009,0.07167935,0.00002668618,0.00001564853,0.00041510386,0.000047962338,0.000057308116,0.00010195075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991088,0.000038588965,0.00032604628,0.00022417011,0.00008135992,0.00022105961],"domain_scores_gemma":[0.99900043,0.00009163335,0.00006136791,0.0005727928,0.00022917565,0.000044619446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097644835,0.00016274628,0.00026292168,0.00029922114,0.00011318958,0.000010632572,0.00015266858,0.0003218524,0.000018772571],"category_scores_gemma":[0.000020558058,0.00018945898,0.0000879847,0.0008667437,0.000053474178,0.00011859024,0.000002298494,0.00022060136,0.0000046147693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015178599,0.000052655356,0.0000024076505,0.00003928956,0.00006307573,0.0000012240123,0.00004237737,0.98662966,0.0038151331,0.0001792026,0.00003234231,0.009127466],"study_design_scores_gemma":[0.00043859723,0.00006594315,0.0000044010935,0.000083985244,0.00004939041,0.000020709356,0.00014732816,0.89094174,0.10765003,0.000042972293,0.00037218138,0.00018271367],"about_ca_topic_score_codex":0.000004459293,"about_ca_topic_score_gemma":0.000038532842,"teacher_disagreement_score":0.9240364,"about_ca_system_score_codex":0.00014496171,"about_ca_system_score_gemma":0.000020209136,"threshold_uncertainty_score":0.7725913},"labels":[],"label_agreement":null},{"id":"W3080441795","doi":"10.1109/jsac.2020.3018825","title":"Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design","year":2020,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reinforcement learning; Beamforming; Cluster analysis; Telecommunications link; Distributed computing; Optimization problem; Wireless network; Cellular network; Computer network; Wireless; Algorithm; Artificial intelligence; Telecommunications","score_opus":0.025527179943003457,"score_gpt":0.25726495988134673,"score_spread":0.23173777993834327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080441795","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015532803,0.0005891551,0.98268604,0.0001899359,0.00009664586,0.0004089623,0.0000010176724,0.00015115232,0.00034428563],"genre_scores_gemma":[0.98625565,0.0024907917,0.010980922,0.00009609561,0.00002992693,0.000060216746,0.000024753608,0.00004963962,0.000012004847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869305,0.00022010012,0.00054164464,0.00013869141,0.00012953179,0.00027700624],"domain_scores_gemma":[0.9987853,0.00032964817,0.00016209482,0.0005011417,0.000100128134,0.00012164689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024161725,0.00019054119,0.00022694792,0.000274181,0.00018960374,0.00010737479,0.00081987155,0.00009634667,0.0000082606975],"category_scores_gemma":[0.00018133127,0.0002090208,0.000025503003,0.00079799484,0.000032514054,0.00037954663,0.000107031454,0.0010622452,0.0000033728993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050044826,0.00003252919,0.0046781977,0.000038199534,0.000010349414,0.0000032776875,0.00038225378,0.99372137,0.00023558007,0.0000012525912,0.000046456305,0.000800479],"study_design_scores_gemma":[0.0014893638,0.00011505374,0.0021972696,0.00019922435,0.000008207793,0.000009333621,0.00005796692,0.9953878,0.00017157603,0.0000045086604,0.00015955692,0.00020013872],"about_ca_topic_score_codex":0.000007918585,"about_ca_topic_score_gemma":0.00029512597,"teacher_disagreement_score":0.97170514,"about_ca_system_score_codex":0.00031128954,"about_ca_system_score_gemma":0.000044960834,"threshold_uncertainty_score":0.8523621},"labels":[],"label_agreement":null},{"id":"W3080742377","doi":"10.1109/isit44484.2020.9173991","title":"On The Capacity of Gaussian MIMO Channels Under Interference Constraints","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Precoding; Covariance matrix; Rank (graph theory); Covariance; Mathematics; Topology (electrical circuits); Beamforming; Interference (communication); Control theory (sociology); Channel (broadcasting); Mathematical optimization; Computer science; Algorithm; Telecommunications; Combinatorics; Statistics","score_opus":0.036588821819140166,"score_gpt":0.22328829955048737,"score_spread":0.1866994777313472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080742377","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":[0.017568583,0.000008419933,0.9514581,0.0005477936,0.0001420685,0.00014494457,0.000006604498,0.00013385047,0.029989626],"genre_scores_gemma":[0.9985535,0.0000029385676,0.0011401332,0.00021803488,0.000025534297,0.0000056357076,0.0000012027198,0.000011612537,0.00004137293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996315,0.000014792081,0.00013317462,0.000080545986,0.000051255738,0.000088701316],"domain_scores_gemma":[0.9997485,0.000060821843,0.000022445533,0.000108589615,0.00002041703,0.00003922053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035688503,0.00007640687,0.000095271156,0.000015206864,0.000014765522,0.000007526527,0.000095546806,0.00003182161,0.00035424103],"category_scores_gemma":[0.000041895462,0.000052637522,0.000021078122,0.00009284634,0.00005575394,0.00004936714,0.000011739494,0.00008313794,0.00004122172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006345841,0.000009286118,0.000020601385,0.000072641225,0.000035905414,7.398389e-7,0.0012920223,0.8669063,0.0153600285,0.11465239,0.001032196,0.0006115631],"study_design_scores_gemma":[0.0005052349,0.00015813811,0.000105680956,0.00021272717,0.000014126244,0.0000060847883,0.0025360924,0.79211265,0.19898757,0.004825308,0.00013897048,0.0003974156],"about_ca_topic_score_codex":0.0000040914874,"about_ca_topic_score_gemma":0.000003481956,"teacher_disagreement_score":0.9809849,"about_ca_system_score_codex":0.00001679825,"about_ca_system_score_gemma":0.0000044080502,"threshold_uncertainty_score":0.3878691},"labels":[],"label_agreement":null},{"id":"W3081583343","doi":"10.1109/tvt.2020.3020933","title":"Statistical Energy Efficiency Characterization for Wireless Transmission Over Fading Channels","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fading; Computer science; Wireless; Transmission (telecommunications); Electronic engineering; Channel (broadcasting); Computer network; Efficient energy use; Telecommunications; Engineering; Electrical engineering","score_opus":0.008653572505328045,"score_gpt":0.21668971701090062,"score_spread":0.20803614450557256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081583343","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013685438,0.00004045429,0.9839018,0.0003259131,0.00038829338,0.00036603518,0.000079907855,0.0011947642,0.00001741463],"genre_scores_gemma":[0.99334556,0.00008879504,0.0060478942,0.000084725536,0.000051678264,0.00022677366,0.000052607145,0.000076406446,0.000025558762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989608,0.000017754317,0.00030035665,0.0003193396,0.00010999022,0.00029173764],"domain_scores_gemma":[0.9996085,0.00004077532,0.000040969833,0.00016534621,0.000053444084,0.000090935784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038330796,0.00021230201,0.0002536307,0.0002468512,0.00013524077,0.00001815207,0.00014101126,0.0003117938,0.000035467583],"category_scores_gemma":[0.00000518926,0.00023088318,0.00006743736,0.0005288474,0.00004764242,0.00013694631,7.953994e-7,0.0002034598,0.00000995097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024194376,0.000034351986,8.924839e-7,0.000079530495,0.000027317537,0.0000043494974,0.00010337347,0.61500996,0.3282272,0.0009842782,0.000013414846,0.055491168],"study_design_scores_gemma":[0.000443493,0.00012627043,0.0000013831233,0.000034478882,0.000024404337,0.0000062093613,0.000018967748,0.7125453,0.2841109,0.000084285755,0.0024167725,0.00018756195],"about_ca_topic_score_codex":0.0000015103917,"about_ca_topic_score_gemma":9.048829e-7,"teacher_disagreement_score":0.9796601,"about_ca_system_score_codex":0.00007688295,"about_ca_system_score_gemma":0.000013792132,"threshold_uncertainty_score":0.9415143},"labels":[],"label_agreement":null},{"id":"W3081615953","doi":"10.1109/lwc.2020.3021026","title":"Towards High Data Rates in Dynamic Environments Using Hybrid Cell-Free Massive MIMO/Small-Cell System","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; MIMO; Rician fading; Fading; Real-time computing; Computer network; Algorithm; Decoding methods","score_opus":0.030317414415548156,"score_gpt":0.2376359392455688,"score_spread":0.20731852483002064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081615953","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":[0.25447354,0.0006951646,0.7409163,0.0019539695,0.00030967634,0.0007131856,0.000409698,0.00029979117,0.00022864781],"genre_scores_gemma":[0.95317036,0.00031538974,0.04546112,0.00023225627,0.000040539937,0.00006794751,0.0005934853,0.00010997892,0.000008900998],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983393,0.00019045173,0.00057555863,0.00039332037,0.00016473643,0.00033662663],"domain_scores_gemma":[0.9958699,0.00010243263,0.00017333221,0.003727723,0.00001765115,0.000108977714],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013597411,0.00029652758,0.00034875024,0.00013501316,0.00014346853,0.000060779657,0.0029628696,0.00007933256,0.0000040128193],"category_scores_gemma":[0.0000143031875,0.00036444986,0.000042472777,0.000326676,0.00009304415,0.00042993997,0.0006989345,0.0003921608,0.000047298112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046567357,0.00003576094,0.00013300996,0.00023766424,0.000027765069,0.000013579522,0.00031228663,0.7681998,0.23035361,0.000018801098,0.00045626034,0.00020679334],"study_design_scores_gemma":[0.00077242916,0.000007193907,0.00004773277,0.00014163918,0.000038931903,0.0000061295505,0.00042025512,0.9815887,0.01627769,0.0000029172736,0.0003404707,0.00035590355],"about_ca_topic_score_codex":0.00016161117,"about_ca_topic_score_gemma":0.00004975292,"teacher_disagreement_score":0.69869685,"about_ca_system_score_codex":0.0005296092,"about_ca_system_score_gemma":0.000027397693,"threshold_uncertainty_score":0.99988073},"labels":[],"label_agreement":null},{"id":"W3082266747","doi":"10.1109/lwc.2020.3020122","title":"8-QAM Division for Uplink Massive SIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Shandong University","keywords":"Telecommunications link; Computer science; Division (mathematics); QAM; Quadrature amplitude modulation; Computer network; Telecommunications; Bit error rate; Channel (broadcasting); Mathematics","score_opus":0.030235539630821578,"score_gpt":0.2515279246381302,"score_spread":0.2212923850073086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082266747","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":[0.012478578,0.00052857265,0.9781546,0.006476597,0.00048593516,0.0008852,0.000048003974,0.00069926155,0.00024323449],"genre_scores_gemma":[0.97960377,0.0001594716,0.018860074,0.0005558992,0.00013431122,0.0004457817,0.00013667718,0.00008800387,0.000016007363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990103,0.000050353636,0.0003975729,0.00019963221,0.000101857026,0.00024024387],"domain_scores_gemma":[0.9983629,0.00025808284,0.00010209377,0.0010805073,0.00008875808,0.000107633285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008888174,0.00019202883,0.00025266813,0.00007127599,0.0002056044,0.00006919704,0.0007945549,0.00008548075,0.000002223135],"category_scores_gemma":[0.00003156393,0.0002163733,0.000078101766,0.00027015826,0.00006546938,0.00025216967,0.00007482165,0.00020805268,0.00005189378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004196398,0.0000117485815,0.000048923623,0.00014997288,0.000043095435,6.0054373e-7,0.00049154274,0.9262785,0.06447969,0.0009191585,0.00606105,0.0015115679],"study_design_scores_gemma":[0.00038129374,0.00001640738,0.000014135305,0.000085566986,0.000019383604,0.0000010649934,0.00015883947,0.98826206,0.0020318418,0.000007488814,0.008769551,0.00025234587],"about_ca_topic_score_codex":0.000009268411,"about_ca_topic_score_gemma":0.000003173223,"teacher_disagreement_score":0.9671252,"about_ca_system_score_codex":0.000117767566,"about_ca_system_score_gemma":0.000010910058,"threshold_uncertainty_score":0.88234466},"labels":[],"label_agreement":null},{"id":"W3084569141","doi":"10.3390/electronics9091495","title":"An Optimum User Association Algorithm in Heterogeneous 5G Networks Using Standard Deviation of the Load","year":2020,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Macro; Wireless network; Standard deviation; Signal-to-interference-plus-noise ratio; Coverage probability; Quality of service; Cellular network; User equipment; Efficient energy use; Wireless; Real-time computing; Algorithm; Power (physics); Computer network; Statistics; Engineering; Telecommunications; Mathematics","score_opus":0.006400859287749624,"score_gpt":0.21761499019699498,"score_spread":0.21121413090924537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3084569141","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":[0.06947714,0.0020417096,0.9279378,0.000030167666,0.00014998969,0.00023668872,0.0000069785656,0.000087421424,0.00003209561],"genre_scores_gemma":[0.9906198,0.00020762907,0.008972173,0.000038013113,0.00010155705,0.00000570697,0.000011277317,0.00003785664,0.0000060119887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917835,0.000054691463,0.00024354919,0.00011608173,0.00017372442,0.00023358087],"domain_scores_gemma":[0.99962896,0.000019656703,0.000107004,0.00013097007,0.00008303298,0.00003038348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015671925,0.00009787626,0.00014702576,0.000021207486,0.0000313873,0.000016994927,0.00010480305,0.000103953564,0.0000047813237],"category_scores_gemma":[0.00003945101,0.00009659991,0.00003328058,0.00032383387,0.0000046333553,0.00017183875,0.000009778031,0.00018281347,8.57277e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005515421,0.0000045412517,0.0007814267,0.000009811222,0.000014734904,3.3241702e-7,0.00017317862,0.9931019,0.002644982,0.000016605605,0.000018439912,0.003228566],"study_design_scores_gemma":[0.00024156841,0.000045774716,0.000059428472,0.000014991651,0.000011477664,0.0000011479992,0.000012091864,0.9892234,0.009684845,0.000026450016,0.0005850473,0.00009375132],"about_ca_topic_score_codex":0.0000043084433,"about_ca_topic_score_gemma":0.00008273049,"teacher_disagreement_score":0.92114264,"about_ca_system_score_codex":0.0012867394,"about_ca_system_score_gemma":0.00007016739,"threshold_uncertainty_score":0.393923},"labels":[],"label_agreement":null},{"id":"W3088034552","doi":"10.1109/tii.2020.3024631","title":"Nonlinear MIMO for Industrial Internet of Things in Cyber–Physical Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Informatics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":106,"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; Brandon University","funders":"University of Technology Sydney","keywords":"MIMO; Multi-user MIMO; Telecommunications link; Computer science; 3G MIMO; Wireless; Electronic engineering; Channel (broadcasting); Computer network; Telecommunications; Engineering","score_opus":0.04873478648377317,"score_gpt":0.24856450898595892,"score_spread":0.19982972250218575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088034552","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":[0.033547856,0.000008069525,0.9627738,0.00004126649,0.0017311692,0.0011486557,0.0001516828,0.00019525358,0.00040227373],"genre_scores_gemma":[0.995516,0.000009131544,0.0037589264,0.000040889867,0.00044545697,0.00011255962,0.000027583557,0.00004825745,0.000041218755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984466,0.000026475382,0.0009918236,0.00010126218,0.00019142446,0.00024245497],"domain_scores_gemma":[0.99928164,0.00019603923,0.00017677814,0.00016350481,0.00006893795,0.00011310606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015169666,0.00022167744,0.00045343803,0.0001898459,0.000030332514,0.000040483963,0.00019258485,0.00034945825,0.0000075252256],"category_scores_gemma":[0.00004416679,0.00023115156,0.00011386854,0.00042834447,0.000034631692,0.0006249598,0.0000017677364,0.00061509263,0.000016507072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013761863,0.000053768024,0.0000046686205,0.00017823526,0.00005787469,4.1831817e-7,0.0041044084,0.9901957,0.00019410129,0.00004332417,0.00059167045,0.0044382135],"study_design_scores_gemma":[0.0026615697,0.000275861,9.00593e-8,0.0001906599,0.000036655118,0.0000019409028,0.0009951566,0.97108805,0.022508157,0.0000052733703,0.0020256857,0.0002108901],"about_ca_topic_score_codex":0.000046452125,"about_ca_topic_score_gemma":0.0000029631967,"teacher_disagreement_score":0.9619681,"about_ca_system_score_codex":0.00013851274,"about_ca_system_score_gemma":0.000057416968,"threshold_uncertainty_score":0.9426087},"labels":[],"label_agreement":null},{"id":"W3088732684","doi":"10.1109/tcomm.2021.3062649","title":"Multiple-Association Supporting HTC/MTC in Limited-Backhaul Capacity Ultra-Dense Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Telecommunications link; Bottleneck; Stochastic geometry; Computer science; Computer network; Path loss; Cellular network; Coverage probability; Distributed computing; Electronic engineering; Engineering; Base station; Telecommunications; Wireless; Mathematics; Embedded system","score_opus":0.02376324035062772,"score_gpt":0.2482431692812244,"score_spread":0.22447992893059668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088732684","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":[0.014406303,0.00028693522,0.98060226,0.0004163171,0.00061878475,0.00036272468,0.00006919465,0.000571857,0.002665601],"genre_scores_gemma":[0.9855827,0.0012457741,0.012376755,0.00006485304,0.00003210306,0.00019046677,0.00008052281,0.000064977095,0.00036182103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834114,0.00023499379,0.0006402192,0.00024023971,0.00016313493,0.00038029853],"domain_scores_gemma":[0.99738693,0.00087260926,0.00013572202,0.0012986868,0.0002141769,0.00009187483],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031688472,0.0002145866,0.00026405154,0.00019751418,0.00030902892,0.000060300303,0.00034276416,0.00023545824,0.000051557774],"category_scores_gemma":[0.00009850061,0.00028226577,0.0001190297,0.0009304859,0.000039118037,0.0003487282,0.0000032759626,0.0008040082,0.000053125947],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004481331,0.00016631614,0.00060265197,0.000020644817,0.000053021933,0.0000024296846,0.0005591303,0.9913204,0.004387145,0.000053209802,0.000111313464,0.0027193115],"study_design_scores_gemma":[0.00087103073,0.000018933351,0.00074375037,0.00015430452,0.000056491626,0.00002062063,0.00056634156,0.9766668,0.019213742,0.000085225256,0.0011731874,0.0004295778],"about_ca_topic_score_codex":0.00008459096,"about_ca_topic_score_gemma":0.004377169,"teacher_disagreement_score":0.97117645,"about_ca_system_score_codex":0.00072260224,"about_ca_system_score_gemma":0.000044106422,"threshold_uncertainty_score":0.9999629},"labels":[],"label_agreement":null},{"id":"W3088858156","doi":"10.1109/mcomstd.001.1800030","title":"Multi-Radio Dual Connectivity for 5G Small Cells Interworking","year":2020,"lang":"en","type":"article","venue":"IEEE Communications Standards Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Casa","funders":"","keywords":"Software deployment; Interconnection; Computer science; Backward compatibility; Computer network; Dual (grammatical number); Compatibility (geochemistry); Dual role; Core network; Cellular network; Distributed computing; Telecommunications; Engineering; Operating system","score_opus":0.05418095248600816,"score_gpt":0.2914419775439849,"score_spread":0.23726102505797672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3088858156","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":[0.0015523888,0.00083412195,0.99257267,0.00057192467,0.0004261172,0.00073347753,0.0005421909,0.00069886085,0.002068246],"genre_scores_gemma":[0.82550764,0.00028699654,0.17361636,0.000067748326,0.0001234575,0.00016449373,0.000071876086,0.000082229584,0.000079204765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895775,0.00007411647,0.0003850481,0.00021386193,0.00011884645,0.00025034786],"domain_scores_gemma":[0.9982202,0.00027741605,0.000088472014,0.0009769481,0.00031599498,0.000120974124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002953661,0.00020740485,0.0002922298,0.000069618596,0.00018786461,0.00005942069,0.0005184484,0.00008756532,0.000014861215],"category_scores_gemma":[0.00020981731,0.00024017578,0.000088523586,0.0002909374,0.00007875573,0.00017869617,0.00006686957,0.00025643542,0.000026706757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009757265,0.00013280622,0.00012682364,0.00047838685,0.00017438084,0.0000032784787,0.0029141207,0.78262573,0.18626498,0.0005364198,0.014869252,0.01177623],"study_design_scores_gemma":[0.0014227554,0.00008283184,0.000040679,0.0001070588,0.00003997351,0.0000051891316,0.000108947715,0.8648617,0.017756486,0.000050598566,0.1151438,0.00037997062],"about_ca_topic_score_codex":0.0000039391603,"about_ca_topic_score_gemma":0.0001688102,"teacher_disagreement_score":0.82395524,"about_ca_system_score_codex":0.000276745,"about_ca_system_score_gemma":0.000052785002,"threshold_uncertainty_score":0.97940844},"labels":[],"label_agreement":null},{"id":"W3090783425","doi":"10.1109/wts48268.2020.9198725","title":"On the Interference Range of Small Cells in the Wireless Backhaul of 5G Ultra-Dense Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer network; Wireless; Computer science; Wireless network; Telecommunications; Base station","score_opus":0.01784464532869535,"score_gpt":0.1950975937499199,"score_spread":0.17725294842122455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3090783425","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":[0.1288017,0.00011000409,0.85726964,0.00018789615,0.00013854096,0.00045524535,0.0000060133953,0.00006227139,0.012968687],"genre_scores_gemma":[0.99936783,0.000053789157,0.00036817146,0.00013173699,0.000024920313,0.000010552932,0.0000012476478,0.0000146321045,0.00002713722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946046,0.00005520579,0.00023756303,0.00008354982,0.00006242993,0.00010079712],"domain_scores_gemma":[0.9994126,0.00031010172,0.000046722693,0.00018837201,0.000025385054,0.000016822285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012776218,0.000088270404,0.00014369393,0.000018823266,0.000008569391,0.000005950258,0.00022742349,0.00004307143,0.00004201835],"category_scores_gemma":[0.000025681746,0.00005176484,0.000030674768,0.00021030215,0.00002489091,0.00003269021,0.000008194345,0.00013878003,0.0000060681355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017893735,0.000010055955,0.00008726575,0.000058307614,0.000008029228,0.0000010495307,0.0015926894,0.98875064,0.0073264106,0.0014130491,0.0003875582,0.00034706722],"study_design_scores_gemma":[0.00032485896,0.00008130063,0.00014261356,0.00014947237,0.000008071993,0.00000104987,0.0010423389,0.9479668,0.05005804,0.00006238226,0.00004216284,0.00012088176],"about_ca_topic_score_codex":0.00001932357,"about_ca_topic_score_gemma":0.000054510332,"teacher_disagreement_score":0.8705661,"about_ca_system_score_codex":0.000011112732,"about_ca_system_score_gemma":0.000003501592,"threshold_uncertainty_score":0.2110909},"labels":[],"label_agreement":null},{"id":"W3091125665","doi":"10.1109/mnet.011.2000502","title":"Advances in CRAN Performance Optimization","year":2020,"lang":"en","type":"article","venue":"IEEE Network","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cellular network; Distributed computing; Cloud computing; Baseband; Architecture; Radio access network; Statistical time division multiplexing; Computer network; Multiplexing; Telecommunications; Base station; Bandwidth (computing)","score_opus":0.008395082607107652,"score_gpt":0.20383923447281513,"score_spread":0.1954441518657075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091125665","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":[0.002692571,0.002309559,0.97553974,0.00005303725,0.0022319723,0.0002487503,0.0000012972823,0.00050609093,0.016416982],"genre_scores_gemma":[0.9805872,0.0020142882,0.015243007,0.00011084751,0.0019455639,0.000028727309,0.000010580809,0.00004373127,0.000016059883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994088,0.000012527436,0.00019243796,0.00012446255,0.00006331636,0.00019848431],"domain_scores_gemma":[0.9998035,0.000017554397,0.00002625664,0.000085935295,0.000015976255,0.000050810577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004227345,0.00010191479,0.00012681776,0.000023113671,0.000027666096,0.000011027994,0.00007907108,0.000049776452,0.000011784684],"category_scores_gemma":[0.000007636073,0.000114211376,0.000015526275,0.00040779993,0.00000930121,0.00041596737,0.000005946925,0.000100642064,0.00002811641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009614543,0.0000018178546,0.0007615558,0.00005183593,0.0000016214065,0.0000012643173,0.00011073704,0.9960397,0.000021854816,0.000007836908,0.00078579003,0.0022064028],"study_design_scores_gemma":[0.00019897606,0.000017672408,0.000069307804,0.000054681124,0.0000020177592,8.967268e-7,0.000010347016,0.99418116,0.00011234944,0.000017334698,0.0052094352,0.00012583507],"about_ca_topic_score_codex":4.927668e-7,"about_ca_topic_score_gemma":0.000005622101,"teacher_disagreement_score":0.9778946,"about_ca_system_score_codex":0.000036983754,"about_ca_system_score_gemma":0.0000046347063,"threshold_uncertainty_score":0.46574047},"labels":[],"label_agreement":null},{"id":"W3092139691","doi":"","title":"Ergodic Capacity Analysis for Ubiquitous Cooperative Networks Employing Amplify-and-Forward Relaying","year":2014,"lang":"en","type":"article","venue":"Ubiquitous Computing Systems","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":"Queen's University","funders":"","keywords":"Ergodic theory; Computer science; Computer network; Mathematics","score_opus":0.014266885837591628,"score_gpt":0.22578095590041244,"score_spread":0.2115140700628208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092139691","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":[0.09268595,0.00074564613,0.9022813,0.000010147391,0.001727436,0.00096572033,0.000016113809,0.0011725945,0.00039509984],"genre_scores_gemma":[0.9890494,0.00002288427,0.0093543725,0.000041517007,0.0011537855,0.00010274212,0.0000696915,0.00014336951,0.000062272964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997105,0.00023680308,0.0009912313,0.000647454,0.00023771318,0.00078176806],"domain_scores_gemma":[0.9978869,0.00083294744,0.0002847273,0.00052365597,0.00026007066,0.0002117079],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011609903,0.00049320847,0.0010335707,0.00039567318,0.00056062255,0.00029295916,0.00027351148,0.00032428987,0.0000017699919],"category_scores_gemma":[0.00020358876,0.00051529554,0.00018985626,0.00085811707,0.00006654364,0.00021863094,0.000087456356,0.00037283395,0.000007537311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008810151,0.000010066046,0.0014238958,0.00032303637,0.00048536385,0.0000014526486,0.0008127482,0.99289227,0.00049891375,0.002149316,0.0001812081,0.0012128971],"study_design_scores_gemma":[0.00043178006,0.00008399932,0.00015089201,0.00022556476,0.0002958808,0.00003105968,0.00033849847,0.9969815,0.00015134327,0.000030037369,0.00072134775,0.00055811997],"about_ca_topic_score_codex":0.00014733363,"about_ca_topic_score_gemma":0.00006314533,"teacher_disagreement_score":0.89636344,"about_ca_system_score_codex":0.0002961538,"about_ca_system_score_gemma":0.000016314287,"threshold_uncertainty_score":0.9997299},"labels":[],"label_agreement":null},{"id":"W3092295813","doi":"10.1155/2020/8818579","title":"Outage Probability and Normalized SINR-Based Power Allocation over Rician Fading Channels","year":2020,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Rician fading; Fading; Computer science; Throughput; Moment-generating function; Signal-to-interference-plus-noise ratio; Power (physics); Interference (communication); Outage probability; Fading distribution; Mathematical optimization; Algorithm; Rayleigh fading; Telecommunications; Probability density function; Statistics; Mathematics; Wireless; Channel (broadcasting)","score_opus":0.01942911117867685,"score_gpt":0.24652657370206552,"score_spread":0.22709746252338867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092295813","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":[0.44011205,0.0014596751,0.5566805,0.00020137937,0.00007556493,0.0006331632,0.000009385696,0.00040333878,0.0004249502],"genre_scores_gemma":[0.9802157,0.0001353519,0.019396119,0.000087651206,0.000027168382,0.000056999685,0.00004569579,0.00003183719,0.0000034222048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916273,0.00007496753,0.00031735783,0.00020384844,0.00006766352,0.00017343323],"domain_scores_gemma":[0.9991273,0.0001410985,0.00008443572,0.00047923787,0.00007043921,0.00009746219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001676214,0.00015440425,0.00020832362,0.000049781418,0.0002662121,0.00007510395,0.00020988619,0.000069394504,0.0000043430173],"category_scores_gemma":[0.000026496926,0.00017293256,0.0000266234,0.00022321506,0.00007886035,0.00017713424,0.00017974083,0.00017174835,0.0000018823788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000083169625,0.000053262695,0.0018821254,0.0002860136,0.00003227441,6.205894e-7,0.0056616613,0.9391536,0.008059218,0.0016513685,0.000030487907,0.04318107],"study_design_scores_gemma":[0.00038867563,0.000039209815,0.00023399715,0.000084099,0.000010027909,0.000001638414,0.0002555229,0.99652416,0.0004036188,0.00002781604,0.0018461763,0.00018505135],"about_ca_topic_score_codex":0.000014674026,"about_ca_topic_score_gemma":0.000007070498,"teacher_disagreement_score":0.5401037,"about_ca_system_score_codex":0.000047721802,"about_ca_system_score_gemma":0.000013350565,"threshold_uncertainty_score":0.70519847},"labels":[],"label_agreement":null},{"id":"W3092446327","doi":"10.1109/tvt.2020.3029606","title":"Subchannel Allocation Based on Clustered Interference Alignment for Differentiated Data Streams in Dense Small Cell Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Postdoctoral Science Foundation; Natural Science Foundation of Shaanxi Province; National Natural Science Foundation of China","keywords":"Partition (number theory); Cluster analysis; Computer science; Overhead (engineering); Data stream mining; Interference (communication); Data stream; Distributed computing; Algorithm; Computer network; Mathematics; Data mining; Channel (broadcasting); Telecommunications","score_opus":0.024940325574370908,"score_gpt":0.22109028593845112,"score_spread":0.19614996036408022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092446327","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03020698,0.00005464535,0.9674063,0.00040777418,0.0002956282,0.00088771706,0.00007504614,0.0006531675,0.000012741773],"genre_scores_gemma":[0.99438924,0.00004747843,0.004892879,0.00010002086,0.00002089207,0.00029491828,0.0001791426,0.00006445386,0.000010960232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987357,0.000037324935,0.0003633107,0.00048328936,0.00008109148,0.0002992506],"domain_scores_gemma":[0.99910325,0.00006474686,0.00006198609,0.00065816357,0.000047730446,0.00006412609],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007301059,0.00025139205,0.00026290506,0.00030136565,0.000057212295,0.000016884287,0.0004095393,0.00034186363,0.000008978705],"category_scores_gemma":[0.00001066322,0.00027716774,0.000048539103,0.00049072824,0.000031335705,0.00008633862,0.000004715432,0.00035336023,0.0000105924455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007961497,0.00011663928,0.00001142201,0.00007485687,0.000024720037,0.000004685897,0.000049236383,0.98615044,0.007477972,0.000011458385,0.000024664794,0.0059742816],"study_design_scores_gemma":[0.0012088679,0.00024386897,0.000004191741,0.00009290192,0.000035804853,0.0000014472397,0.00009118953,0.91671455,0.08132506,0.00002022442,0.00004454923,0.00021732223],"about_ca_topic_score_codex":0.00000829959,"about_ca_topic_score_gemma":0.00015668894,"teacher_disagreement_score":0.96418226,"about_ca_system_score_codex":0.00015038048,"about_ca_system_score_gemma":0.000016178557,"threshold_uncertainty_score":0.99996805},"labels":[],"label_agreement":null},{"id":"W3093368304","doi":"10.1109/tcomm.2020.3030780","title":"Energy-Efficient Multi-Cell Massive MIMO Subject to Minimum User-Rate Constraints","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast; Royal Academy of Engineering; Princeton University; National Science Foundation","keywords":"Beamforming; Computer science; MIMO; Scheduling (production processes); Throughput; Bottleneck; Enhanced Data Rates for GSM Evolution; Computer network; Electronic engineering; Real-time computing; Wireless; Embedded system; Engineering; Telecommunications","score_opus":0.028997463480214418,"score_gpt":0.24918654100462753,"score_spread":0.2201890775244131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093368304","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":[0.000991371,0.00014377393,0.99379355,0.0012041274,0.00031798618,0.00044876602,0.00020772759,0.00062925956,0.0022634142],"genre_scores_gemma":[0.9573674,0.00018460941,0.0413631,0.00036848296,0.000022649072,0.00027237905,0.00002532075,0.00007493227,0.00032109205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879706,0.00013164205,0.00040886799,0.00026714153,0.000116010655,0.00027930184],"domain_scores_gemma":[0.99818206,0.00023350028,0.000059209022,0.0011319019,0.00012602822,0.00026727695],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007874516,0.0002491737,0.00023033784,0.00016908284,0.00030166397,0.00004534138,0.00063041755,0.00010795658,0.00007549536],"category_scores_gemma":[0.000011619198,0.0002941175,0.000107284555,0.00066364143,0.00010610908,0.00011271868,0.000007241876,0.00032061216,0.00031639505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010051966,0.00016285873,0.0000012259212,0.00002040598,0.000036617836,0.0000012418516,0.0010005478,0.9768548,0.019024067,0.00009298146,0.0003646544,0.0024305733],"study_design_scores_gemma":[0.00072399684,0.000066028566,0.000007112814,0.00004808218,0.000044121207,0.0000026480673,0.0005642326,0.9469943,0.045722734,0.0000044316043,0.005462202,0.00036007818],"about_ca_topic_score_codex":0.00002393708,"about_ca_topic_score_gemma":0.0001191079,"teacher_disagreement_score":0.9563761,"about_ca_system_score_codex":0.00014748379,"about_ca_system_score_gemma":0.000045751385,"threshold_uncertainty_score":0.9999511},"labels":[],"label_agreement":null},{"id":"W3094435101","doi":"10.1109/ojcoms.2020.3032351","title":"Energy-Efficient Resource Allocation in Single-RF Load-Modulated Massive MIMO HetNets","year":2020,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heterogeneous network; MIMO; Computer science; Efficient energy use; Base station; Beamforming; Computer network; Transmitter power output; Radio resource management; Spectral efficiency; Energy consumption; Resource allocation; Spatial multiplexing; Cooperative MIMO; Telecommunications link; Multi-user MIMO; Wireless network; Wireless; Transmitter; Telecommunications; Engineering; Electrical engineering","score_opus":0.0389027958660829,"score_gpt":0.2636773168055588,"score_spread":0.2247745209394759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3094435101","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":[0.085967,0.008004702,0.8524103,0.038988877,0.0011389259,0.0017680383,0.000033412285,0.00022025382,0.011468474],"genre_scores_gemma":[0.9826947,0.0002685524,0.016507536,0.0003552919,0.000051651907,0.000012476801,0.000005664233,0.0000346433,0.00006951687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987488,0.00018978327,0.0006015215,0.000101035,0.00020796417,0.00015090384],"domain_scores_gemma":[0.99832606,0.000116908355,0.00036104245,0.0008522754,0.00026307735,0.0000806536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004168754,0.00013140943,0.00022712164,0.000027090424,0.00017423823,0.00008853856,0.00222614,0.000086888016,0.000006742839],"category_scores_gemma":[0.00008187375,0.000113013295,0.00014742599,0.0006315095,0.00007795522,0.0002533041,0.00033407452,0.0003978313,0.0000039393485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008179124,0.0000581203,0.00003052676,0.000012168987,0.000049309812,4.4043207e-7,0.0032031809,0.9661465,0.025522463,0.000073826974,0.004219982,0.0006752874],"study_design_scores_gemma":[0.0008723814,0.000036556383,0.00008791269,0.0002388404,0.000033701734,0.000017824985,0.0014143285,0.9694512,0.010692583,0.00008109039,0.016887493,0.00018607976],"about_ca_topic_score_codex":0.00002261557,"about_ca_topic_score_gemma":0.000024963769,"teacher_disagreement_score":0.8967277,"about_ca_system_score_codex":0.0005575637,"about_ca_system_score_gemma":0.00009390873,"threshold_uncertainty_score":0.46085486},"labels":[],"label_agreement":null},{"id":"W3095317912","doi":"10.1109/twc.2020.3032729","title":"Resource Allocation and Beamforming Design in the Short Blocklength Regime for URLLC","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Australian Research Council; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Beamforming; Computer science; Transmitter power output; Telecommunications link; Base station; Mathematical optimization; Optimization problem; Bandwidth allocation; Bandwidth (computing); Resource allocation; Computer network; Channel (broadcasting); Telecommunications; Algorithm; Transmitter; Mathematics","score_opus":0.04288468224346917,"score_gpt":0.2582443013154131,"score_spread":0.21535961907194393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095317912","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":[0.0015320389,0.00020637002,0.99415404,0.0026208612,0.000038298833,0.000955528,0.000018556066,0.00021508777,0.00025924054],"genre_scores_gemma":[0.9627886,0.00049981655,0.035754755,0.00017958882,0.000020015426,0.00067906285,0.000018788045,0.00004137988,0.000018034892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991744,0.000115780356,0.0002970641,0.00015884002,0.00009094497,0.00016293405],"domain_scores_gemma":[0.9985834,0.00058766524,0.000031780888,0.0007022478,0.000041969106,0.00005293753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024409557,0.000142153,0.00014705668,0.00009294833,0.00030362222,0.000038621758,0.00045723162,0.0000797811,0.0000015226896],"category_scores_gemma":[0.0000121705425,0.00013770905,0.000040947834,0.0003766964,0.00006302837,0.00019688996,0.0000026628904,0.0002878498,0.0000032923886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017875658,0.000046720907,0.000003176233,0.000040333573,0.000022522336,1.7713207e-7,0.0031818626,0.972823,0.0022271469,0.0006858339,0.0001332836,0.020818021],"study_design_scores_gemma":[0.00031069576,0.000057214842,0.000010401865,0.000057425023,0.000035031808,0.0000061118194,0.0011419355,0.9905804,0.0041188216,0.000059044145,0.0034469776,0.00017597889],"about_ca_topic_score_codex":0.000007370032,"about_ca_topic_score_gemma":0.000058677175,"teacher_disagreement_score":0.9612565,"about_ca_system_score_codex":0.00006352973,"about_ca_system_score_gemma":0.00001635049,"threshold_uncertainty_score":0.5615612},"labels":[],"label_agreement":null},{"id":"W3095990579","doi":"10.1109/tits.2022.3183073","title":"Energy Efficiency Optimization in LoRa Networks—A Deep Learning Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Artificial neural network; Computer science; Train; Artificial intelligence; Range (aeronautics); Deep learning; Backpropagation; Energy (signal processing); Efficient energy use; Phase (matter); Machine learning; Engineering; Mathematics","score_opus":0.0110284470219963,"score_gpt":0.20652699204872507,"score_spread":0.19549854502672878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095990579","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":[0.00092359737,0.00060661987,0.9949294,0.0000040667082,0.0018467868,0.0005685573,0.00002709334,0.0005921078,0.00050178886],"genre_scores_gemma":[0.9962772,0.0003330965,0.0017117079,0.00001241055,0.00004819055,0.0010490791,0.00022581955,0.00010763842,0.00023487027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772865,0.0001847816,0.0009079448,0.0004123861,0.00039413848,0.00037212207],"domain_scores_gemma":[0.9993955,0.00007489208,0.00012746305,0.00023551709,0.000074133735,0.00009250697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029317098,0.0003035419,0.0003300434,0.0006146783,0.0003177009,0.000048728092,0.00019726764,0.00011893972,0.000129857],"category_scores_gemma":[0.0000012636846,0.00037344304,0.00011800606,0.0013197428,0.000024477189,0.0002679147,4.22452e-7,0.000513662,0.000006823059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037152553,0.00014705297,0.000026521106,0.00007213972,0.00003328464,0.0000061937512,0.0011858186,0.99485314,0.00006842279,0.00028776453,0.0000069148905,0.0032755672],"study_design_scores_gemma":[0.0002950564,0.00008969637,0.0000056867793,0.000036431094,0.000024400919,0.000010717618,0.002397456,0.9958519,0.0005217756,0.000004323652,0.00042042485,0.00034217362],"about_ca_topic_score_codex":0.00013411859,"about_ca_topic_score_gemma":0.00007116836,"teacher_disagreement_score":0.9953536,"about_ca_system_score_codex":0.00048124668,"about_ca_system_score_gemma":0.000019532685,"threshold_uncertainty_score":0.99987173},"labels":[],"label_agreement":null},{"id":"W3097829375","doi":"10.1109/ecce44975.2020.9236405","title":"Optimization-Based Design of Power Architecture for 5G Small Cell Base Stations","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Microgrid; Base station; Computer science; Software deployment; Architecture; Reliability (semiconductor); Distributed computing; Efficient energy use; Optimal design; Base (topology); Power (physics); Reliability engineering; Engineering; Computer network; Software engineering; Artificial intelligence","score_opus":0.01791672188411316,"score_gpt":0.20382090871583153,"score_spread":0.18590418683171836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097829375","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":[0.000032668042,0.000044808996,0.99720716,0.00014211916,0.000057611127,0.00068282883,0.0000464588,0.00026265334,0.0015237146],"genre_scores_gemma":[0.2678853,0.000002114861,0.7317681,0.00012408635,0.000016758475,0.00005773258,0.000056330406,0.0000415882,0.000047995214],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945354,0.000018209163,0.00022455092,0.00012654449,0.000053753633,0.00012339914],"domain_scores_gemma":[0.9994811,0.0001806901,0.00004383584,0.000121009194,0.00010210727,0.000071286726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043359112,0.000111396344,0.00013067125,0.000057968515,0.000026094538,0.000009679801,0.00007774811,0.00004868329,0.00011569449],"category_scores_gemma":[0.000073757175,0.00011248814,0.000039775045,0.00019199506,0.000010290264,0.000051482322,0.000002882969,0.000047686324,0.0000037846676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015483762,0.000011516225,0.0000074201603,0.00015124651,0.000007915047,2.6637582e-7,0.00023924785,0.99457663,0.0043010525,0.000058844013,0.0005690037,0.000061384155],"study_design_scores_gemma":[0.0005058523,0.00006533353,8.5217533e-7,0.000010466198,0.000010719089,1.3336195e-7,0.000056659777,0.96321017,0.035854433,0.000023890536,0.00014624758,0.00011521884],"about_ca_topic_score_codex":0.0000020028447,"about_ca_topic_score_gemma":0.0000017711164,"teacher_disagreement_score":0.26785263,"about_ca_system_score_codex":0.00001974665,"about_ca_system_score_gemma":0.000033193952,"threshold_uncertainty_score":0.45871332},"labels":[],"label_agreement":null},{"id":"W3097925343","doi":"10.1109/access.2020.3035447","title":"Towards Energy Efficient Load Balancing for Sustainable Green Wireless Networks Under Optimal Power Supply","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Renewable energy; Efficient energy use; Carbon footprint; Photovoltaic system; Greenhouse gas; Energy consumption; Electrical engineering; Engineering","score_opus":0.010091336881264635,"score_gpt":0.23753941567977005,"score_spread":0.22744807879850543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097925343","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":[0.022223193,0.00037592123,0.9747775,0.00014247617,0.00049406395,0.00038123043,0.000009449702,0.00042917693,0.001166952],"genre_scores_gemma":[0.9972921,0.00002043483,0.0014956469,0.00029422218,0.00040354763,0.00012203077,0.000022625793,0.00010213517,0.00024724504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861103,0.000017762442,0.00030378037,0.00031470114,0.00018248409,0.00057026854],"domain_scores_gemma":[0.99926805,0.00005180391,0.00006377628,0.00021513893,0.00024216849,0.00015903551],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010539575,0.00023975533,0.00028413074,0.00005525429,0.00010042289,0.00014883545,0.00038386852,0.0001347085,0.000028581413],"category_scores_gemma":[0.000020680844,0.0002540607,0.00007707506,0.0003788687,0.000020809344,0.00043874193,0.000079545025,0.00012168492,0.000003753123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033521083,0.000010272926,0.00003975976,0.00013749597,0.000036116362,0.0000135335185,0.00020485421,0.9951004,0.00034671652,0.00094632764,0.002280888,0.0008501082],"study_design_scores_gemma":[0.0005992279,0.000039589097,0.00004429403,0.00003168909,0.000018486415,0.000003251854,0.00024820302,0.99182177,0.0045180684,0.000048645805,0.0023139156,0.00031286254],"about_ca_topic_score_codex":0.00019132486,"about_ca_topic_score_gemma":0.000019585017,"teacher_disagreement_score":0.9750689,"about_ca_system_score_codex":0.00030463477,"about_ca_system_score_gemma":0.000064237545,"threshold_uncertainty_score":0.9999912},"labels":[],"label_agreement":null},{"id":"W3100612237","doi":"","title":"1Resource Allocation Under Channel Uncertainties for Relay-Aided Device-to-Device Communication Underlaying LTE-A Cellular Networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Relay; Computer science; Robustness (evolution); Cellular network; Computer network; Resource allocation; Quality of service; Spectral efficiency; Optimization problem; Mathematical optimization; Channel (broadcasting); Power (physics); Mathematics; Algorithm","score_opus":0.02432287597738753,"score_gpt":0.24166047823197573,"score_spread":0.2173376022545882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100612237","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":[0.0037165508,0.0006735709,0.9912248,0.0007996577,0.0002875322,0.00087970623,0.0000035916576,0.00072249223,0.001692066],"genre_scores_gemma":[0.9613031,0.00013664064,0.036215294,0.00023199692,0.00011034842,0.00027224675,0.00008213437,0.0001118007,0.0015363959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987105,0.000057941932,0.00044994106,0.00027494424,0.0001354083,0.00037126752],"domain_scores_gemma":[0.9985728,0.00037783047,0.00010293857,0.00062282156,0.0002149702,0.0001085852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003357911,0.00024336849,0.0002410621,0.00013725356,0.00018789108,0.000051903422,0.0002896569,0.00016913818,0.00001840675],"category_scores_gemma":[0.000076235534,0.00020748276,0.000062844105,0.0003032687,0.000028734832,0.0003891611,0.00005967964,0.00009486885,0.00005428531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013828762,0.000009209848,0.000027152217,0.00005628488,0.000039792518,1.1791843e-7,0.00027273435,0.98705155,0.0054253372,0.005184861,0.0007262212,0.0011929144],"study_design_scores_gemma":[0.00090416207,0.000041737974,0.000058752557,0.0003481844,0.000043864944,0.0000018332889,0.0016065595,0.98645395,0.00402238,0.0016363859,0.0043408605,0.00054134085],"about_ca_topic_score_codex":0.000036712445,"about_ca_topic_score_gemma":0.00016096729,"teacher_disagreement_score":0.9575866,"about_ca_system_score_codex":0.0003346053,"about_ca_system_score_gemma":0.000016401917,"threshold_uncertainty_score":0.84609014},"labels":[],"label_agreement":null},{"id":"W3100811674","doi":"10.36227/techrxiv.13204007.v1","title":"PRVNet: Variational Autoencoders for Massive MIMO CSI Feedback","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec; Université du Québec à Montréal","funders":"","keywords":"Computer science; MIMO; Channel state information; Telecommunications link; Regularization (linguistics); Channel (broadcasting); Artificial neural network; Base station; Artificial intelligence; Computer engineering; Telecommunications; Wireless","score_opus":0.01939020550103363,"score_gpt":0.24040923908180659,"score_spread":0.22101903358077296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100811674","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":[0.000012221533,0.00012998887,0.9833541,0.00053123786,0.0020281712,0.0013115646,0.00021865137,0.00097521435,0.011438843],"genre_scores_gemma":[0.04248867,0.00005089011,0.95151305,0.00016987175,0.0009485985,0.0008953665,0.0014251039,0.0002167155,0.00229175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987519,0.000015478998,0.00041181827,0.00041990203,0.0001524912,0.0002484207],"domain_scores_gemma":[0.9992516,0.000093473915,0.00011628755,0.00028868858,0.00014898244,0.000100976875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000066729786,0.00032265743,0.00035219765,0.00008477016,0.000043286385,0.000065758955,0.00023484089,0.00033356773,0.00014895559],"category_scores_gemma":[0.000090624984,0.00035682693,0.00013796352,0.00009648741,0.000015074293,0.00011812603,0.00012791628,0.00029592126,0.000071907634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074219797,0.0000060653247,0.000007968165,0.00051347225,0.00012303493,0.0000010189118,0.0002170256,0.980581,0.00015461133,0.0043317527,0.013815146,0.00024147186],"study_design_scores_gemma":[0.00035590454,0.00001410174,0.000039558465,0.000074491894,0.00003794043,0.000001078045,0.0000530348,0.986946,0.000255571,0.0068806284,0.0049581295,0.00038356025],"about_ca_topic_score_codex":0.000009819275,"about_ca_topic_score_gemma":0.0000106965645,"teacher_disagreement_score":0.042476453,"about_ca_system_score_codex":0.00025039024,"about_ca_system_score_gemma":0.000095153526,"threshold_uncertainty_score":0.99988836},"labels":[],"label_agreement":null},{"id":"W3101189765","doi":"10.1109/comst.2021.3063822","title":"Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial","year":2021,"lang":"en","type":"preprint","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Scalability; Artificial intelligence; Context (archaeology); Wireless network; Distributed computing; Wireless; Telecommunications","score_opus":0.04918213408132204,"score_gpt":0.29327542797472034,"score_spread":0.2440932938933983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101189765","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":[0.0018381006,0.0056695226,0.97421366,0.000039378552,0.015236242,0.0021861943,0.000024488509,0.0006411206,0.00015131559],"genre_scores_gemma":[0.9425851,0.004376907,0.04572409,0.000018640681,0.0024143383,0.0019665824,0.002306996,0.00024226845,0.00036508194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956463,0.0016335333,0.0013455902,0.0005884664,0.00024523016,0.00054090534],"domain_scores_gemma":[0.9946034,0.0013388492,0.0004948002,0.0025715958,0.00082458725,0.0001667685],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0029532036,0.00059350877,0.0010207433,0.00019168637,0.00049723004,0.00049737544,0.0009804136,0.00066276017,0.000012258633],"category_scores_gemma":[0.0007085425,0.0007295776,0.0002080813,0.00029471013,0.0001298961,0.0003252527,0.0008789324,0.0009841856,0.000004383966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012456767,0.00007737085,0.00007071282,0.00030925844,0.00027078605,0.0000010127206,0.00094231294,0.99196184,0.0028904285,0.00013115254,0.00022320921,0.0031094335],"study_design_scores_gemma":[0.0012704683,0.00004256828,0.000033218857,0.0004538986,0.00015337025,0.0000031193388,0.00022100392,0.98761857,0.00095542666,0.000043961514,0.0084584905,0.00074589945],"about_ca_topic_score_codex":0.00024438696,"about_ca_topic_score_gemma":0.00067061087,"teacher_disagreement_score":0.940747,"about_ca_system_score_codex":0.0007234206,"about_ca_system_score_gemma":0.0001558849,"threshold_uncertainty_score":0.99951553},"labels":[],"label_agreement":null},{"id":"W3101768914","doi":"10.1109/tcomm.2020.3038772","title":"Dual Pilot Scheme (DPS) and Its Application in Massive MIMO","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Rayleigh fading; Computer science; Channel state information; Wireless; Interference (communication); Fading; Channel (broadcasting); Precoding; Multi-user MIMO; Electronic engineering; Algorithm; Computer network; Engineering; Telecommunications","score_opus":0.035471273778957826,"score_gpt":0.25852618789724185,"score_spread":0.22305491411828404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101768914","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":[0.0032735176,0.0005341727,0.9919023,0.0018097591,0.00006943631,0.00057788816,0.00004774725,0.0003855781,0.0013996265],"genre_scores_gemma":[0.98967177,0.00090385054,0.008846366,0.000106114225,0.00001820309,0.0003665655,0.000017655984,0.000038330785,0.00003117106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992901,0.00004959953,0.00027442357,0.00017137862,0.00007519327,0.00013928475],"domain_scores_gemma":[0.99916863,0.00011027452,0.000038047758,0.00054120255,0.00005080397,0.00009100882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055034343,0.00013620344,0.00014256874,0.00011298076,0.00013998548,0.000018532897,0.00023213238,0.00006422246,0.000013620678],"category_scores_gemma":[0.000008248955,0.0001679335,0.000025087515,0.00045320368,0.00003873914,0.00024410296,0.0000039658366,0.0003252063,0.00008268446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022497637,0.00015020835,0.000026277019,0.00007490558,0.000039985443,8.118236e-7,0.0009895345,0.9466224,0.04537941,0.0016714635,0.000098679426,0.0049238605],"study_design_scores_gemma":[0.0005806409,0.00006448039,0.00007004193,0.00003814416,0.000016875156,0.0000037713064,0.00019231431,0.9886352,0.008310321,0.000093340954,0.0017712475,0.00022364312],"about_ca_topic_score_codex":0.000013183336,"about_ca_topic_score_gemma":0.00013970377,"teacher_disagreement_score":0.9863982,"about_ca_system_score_codex":0.000079922844,"about_ca_system_score_gemma":0.000014757623,"threshold_uncertainty_score":0.68481296},"labels":[],"label_agreement":null},{"id":"W3102629668","doi":"","title":"Performance Analysis and Location Optimization for Massive MIMO Systems with Circularly Distributed Antennas","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"MIMO; Telecommunications link; Base station; Distributed antenna system; Computer science; Topology (electrical circuits); Ergodic theory; Antenna (radio); Control theory (sociology); Mathematics; Telecommunications; Mathematical analysis; Beamforming","score_opus":0.005560052762314419,"score_gpt":0.18646153544358393,"score_spread":0.18090148268126952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102629668","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":[0.009021724,0.00012441652,0.9899235,0.000029157953,0.000067038076,0.00048553906,0.00004141811,0.00023398983,0.00007322577],"genre_scores_gemma":[0.9796082,0.00008439111,0.019839333,0.0000028022664,0.000029475905,0.00014421488,0.00014694869,0.000027900214,0.00011673237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993473,0.000011373817,0.00020815339,0.00018909079,0.0000814933,0.00016258213],"domain_scores_gemma":[0.9993069,0.00004444531,0.00006644099,0.000176879,0.00035337548,0.000051932686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000741929,0.00013259004,0.0001911,0.0001534312,0.00005923986,0.000041721512,0.00004842222,0.00006103797,0.0000065145045],"category_scores_gemma":[0.000027526192,0.00008857163,0.000020007266,0.00070942007,0.000023224407,0.00047999862,0.0000060327343,0.000020834055,0.0000019227139],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000123950595,0.0000038722046,0.0051943026,0.00012236107,0.00018127504,2.5377489e-7,0.00002446358,0.9928344,0.0010680417,0.000088727575,0.000015532485,0.00045441306],"study_design_scores_gemma":[0.0005041218,0.000041450843,0.0011666144,0.000084788095,0.0001712026,0.0000035729292,0.000071125614,0.9972349,0.0005278238,0.0000015623576,0.00002696658,0.00016588531],"about_ca_topic_score_codex":0.000009193146,"about_ca_topic_score_gemma":0.000011187502,"teacher_disagreement_score":0.9705865,"about_ca_system_score_codex":0.000104441075,"about_ca_system_score_gemma":0.000011205394,"threshold_uncertainty_score":0.36118463},"labels":[],"label_agreement":null},{"id":"W3103174730","doi":"10.3390/su12229340","title":"Renewable Energy-Aware Sustainable Cellular Networks with Load Balancing and Energy-Sharing Technique","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Renewable energy; Computer science; Photovoltaic system; Cellular network; Efficient energy use; Simulation; Computer network; Engineering; Electrical engineering","score_opus":0.0031529654287368197,"score_gpt":0.17744048656290692,"score_spread":0.1742875211341701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103174730","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":[0.0016246856,0.00087386824,0.99454063,0.0001342058,0.000036724297,0.0003413211,0.000001997393,0.00082706794,0.001619478],"genre_scores_gemma":[0.9958165,0.000038115333,0.002513858,0.000060505005,0.00012562131,0.00023370514,0.00001882126,0.000088971094,0.0011038628],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998223,0.000047632977,0.0003301322,0.0005511961,0.00017362721,0.0006744134],"domain_scores_gemma":[0.9985713,0.00004525651,0.00006774339,0.00044841444,0.00063035503,0.00023697273],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002824208,0.00031491526,0.00035004804,0.00006094323,0.00017679286,0.00008607232,0.00018752784,0.00017713479,0.000014293364],"category_scores_gemma":[0.00011837481,0.00031637336,0.000041876923,0.0005909893,0.000072616385,0.00045989602,0.00017245763,0.00019685992,2.459776e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040870233,0.000011314493,0.0030072667,0.00089650555,0.000022103715,0.0000842986,0.00025723065,0.99328125,0.00031104495,0.0012673058,0.00030617745,0.0005146375],"study_design_scores_gemma":[0.00056160166,0.00014449637,0.000055910372,0.00007322743,0.000033743196,0.000015853682,0.0026178386,0.9718333,0.00881728,0.0033777917,0.011774834,0.0006941583],"about_ca_topic_score_codex":0.0015947917,"about_ca_topic_score_gemma":0.00016414652,"teacher_disagreement_score":0.9941918,"about_ca_system_score_codex":0.0013783787,"about_ca_system_score_gemma":0.00018102986,"threshold_uncertainty_score":0.99992883},"labels":[],"label_agreement":null},{"id":"W3103606204","doi":"10.1109/access.2020.3037787","title":"Outage and Throughput Analysis of Cognitive Users in Underlay Cognitive Radio Networks With Handover","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"University of Pretoria","keywords":"Cognitive radio; Computer science; Throughput; Computer network; Handover; Transmitter; Underlay; Interference (communication); Cognitive network; Network packet; Telecommunications; Signal-to-noise ratio (imaging); Wireless; Channel (broadcasting)","score_opus":0.021394333035903594,"score_gpt":0.2665495906897539,"score_spread":0.24515525765385032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3103606204","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":[0.33979487,0.00021804987,0.6592391,0.000007692215,0.00003990149,0.000210976,0.000024814482,0.000051388233,0.000413192],"genre_scores_gemma":[0.9994689,0.00009368128,0.00024037252,0.0000781454,0.000036659978,0.000016130172,0.000029846286,0.000028599829,0.000007638878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993212,0.000028262028,0.00020769858,0.00020357771,0.000088375244,0.00015088553],"domain_scores_gemma":[0.9995351,0.00020540312,0.00007163371,0.000064316424,0.000066953595,0.000056636498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004488859,0.00013826585,0.00035460203,0.00013549348,0.000017882578,0.00003627611,0.00008004259,0.00006243085,0.000014883893],"category_scores_gemma":[0.000035049587,0.00013038101,0.0000320096,0.001102713,0.000052121304,0.00047319932,0.000019056086,0.00011517227,7.6534747e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008074946,0.000008732179,0.034978706,0.000041108033,0.00057743455,0.00001281486,0.001958058,0.9619167,0.00004169717,0.0000050711155,0.000014685561,0.00036423886],"study_design_scores_gemma":[0.0018628121,0.000057044355,0.022538744,0.00021774886,0.0006970138,0.0000013782883,0.0011548012,0.9717345,0.0014627728,0.000007806262,0.0000026057587,0.00026274874],"about_ca_topic_score_codex":0.00005651087,"about_ca_topic_score_gemma":0.00033940456,"teacher_disagreement_score":0.65967405,"about_ca_system_score_codex":0.000027205659,"about_ca_system_score_gemma":0.000008259236,"threshold_uncertainty_score":0.5316784},"labels":[],"label_agreement":null},{"id":"W3104869700","doi":"","title":"A geometrical-based throughput bound analysis for device-to-device communications in cellular networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Fundamental Research Funds for the Central Universities; State Key Laboratory of Rail Traffic Control and Safety; China Postdoctoral Science Foundation","keywords":"Cellular network; Computer science; Telecommunications link; Throughput; Guard (computer science); Computer network; Base station; Cellular communication; Spectral efficiency; Stochastic geometry; Interference (communication); User equipment; Transmission (telecommunications); Software deployment; Wireless; Telecommunications; Mathematics","score_opus":0.06227016078298022,"score_gpt":0.3031305571625967,"score_spread":0.24086039637961645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104869700","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":[0.0020148505,0.0009591051,0.99368644,0.00015467565,0.00008536182,0.00058402173,0.0000070856654,0.00024853702,0.002259953],"genre_scores_gemma":[0.8240614,0.00001381852,0.17527129,0.0001470826,0.000034434204,0.00019565297,0.00013227193,0.00003425562,0.000109824345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990111,0.00004208675,0.00037992097,0.00018990292,0.000107676424,0.00026930464],"domain_scores_gemma":[0.9985381,0.00029372657,0.00004398393,0.0008065897,0.00017424651,0.00014339216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035819245,0.00014460053,0.00029895926,0.0006384336,0.00005024344,0.000048176564,0.00034055125,0.00009907732,0.000011843524],"category_scores_gemma":[0.00014917842,0.00015269271,0.00008195404,0.0043674693,0.000016895832,0.00015788096,0.0000508535,0.00010758639,0.000021596466],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004779668,0.000026022404,0.0023695154,0.000016575452,0.00007198689,3.7811574e-7,0.000086389344,0.9964692,0.000037168957,0.00021371769,0.00038589683,0.00031836794],"study_design_scores_gemma":[0.00047422294,0.000020071977,0.00019502676,0.000012392263,0.00009148779,1.4343398e-7,0.000110584544,0.991709,0.00015438514,0.00005181723,0.006997524,0.00018335792],"about_ca_topic_score_codex":0.00015218988,"about_ca_topic_score_gemma":0.0012929206,"teacher_disagreement_score":0.8220465,"about_ca_system_score_codex":0.00027640196,"about_ca_system_score_gemma":0.000027644126,"threshold_uncertainty_score":0.6226628},"labels":[],"label_agreement":null},{"id":"W3105010413","doi":"10.1049/iet-com.2019.0944","title":"Cross‐layer resource allocation for critical MTC coexistent with human‐type communications in LTE: a two‐sided matching approach","year":2020,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Memorial University of Newfoundland","funders":"","keywords":"Computer science; Matching (statistics); Layer (electronics); Resource allocation; Telecommunications; Computer network; Statistics; Mathematics","score_opus":0.09895518543852387,"score_gpt":0.3618807525046838,"score_spread":0.26292556706615994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105010413","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":[0.004583264,0.0018066533,0.9680563,0.005675418,0.000056239878,0.0018736805,0.000073118674,0.00088588364,0.016989423],"genre_scores_gemma":[0.75394094,0.00008511423,0.24437599,0.00019005936,0.000036065205,0.00058882113,0.0006616131,0.000075564545,0.000045837984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985417,0.000178061,0.0005790471,0.00026477277,0.00014274572,0.0002936356],"domain_scores_gemma":[0.99640125,0.0006336533,0.00009158664,0.0024875635,0.00025994433,0.00012602127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002911281,0.00021838829,0.0002807718,0.000108195934,0.0004889493,0.00012365385,0.0013802509,0.00010550728,0.000007673094],"category_scores_gemma":[0.00025832249,0.00024135699,0.00005589881,0.00062022585,0.00024643546,0.00036665678,0.00029732756,0.00047435221,0.000015447771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053707812,0.00027210498,0.0005894928,0.000284348,0.000076981894,5.8228517e-7,0.0074524935,0.8952524,0.0072568594,0.08771922,0.0005980371,0.0004437786],"study_design_scores_gemma":[0.0018049954,0.00010814789,0.00046100467,0.0002546249,0.00007045159,0.000014108441,0.0020894774,0.9799906,0.0003915054,0.0012474497,0.0129975295,0.0005701186],"about_ca_topic_score_codex":0.000060676593,"about_ca_topic_score_gemma":0.00024091135,"teacher_disagreement_score":0.7493577,"about_ca_system_score_codex":0.00018100727,"about_ca_system_score_gemma":0.000042818363,"threshold_uncertainty_score":0.9842253},"labels":[],"label_agreement":null},{"id":"W3106088625","doi":"","title":"Rate of channel hardening of antenna selection diversity schemes and its implication on scheduling","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Diversity gain; Computer science; Transmitter; Multi-user MIMO; Scheduling (production processes); Control theory (sociology); Channel (broadcasting); Telecommunications; Electronic engineering; Mathematics; Topology (electrical circuits); Mathematical optimization; Engineering; Combinatorics","score_opus":0.01233501385297965,"score_gpt":0.20930068226796866,"score_spread":0.19696566841498903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106088625","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":[0.62288594,0.00007527985,0.37650824,0.000011579866,0.00003377837,0.00015424339,0.000001030261,0.00007375778,0.00025618938],"genre_scores_gemma":[0.9953053,0.000048077785,0.004557969,0.0000034021316,0.00001304058,0.0000062868894,0.0000025377683,0.000009080375,0.000054292766],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966866,0.000008151987,0.00013085667,0.00008284401,0.000037035414,0.00007243723],"domain_scores_gemma":[0.99972653,0.00001887065,0.000054266606,0.000053604945,0.00012589217,0.000020821546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005781842,0.00006096675,0.00009913748,0.00007328372,0.000040353952,0.000004600462,0.00003214351,0.00003860759,0.00001336064],"category_scores_gemma":[0.00002775602,0.000062058876,0.000012908829,0.00011270359,0.0000067747574,0.00023046024,0.000028058708,0.00003920843,0.00000489194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056044664,0.000008531863,0.0010679368,0.00015284405,0.000023400768,3.1076237e-8,0.00023006575,0.3387628,0.65868616,0.0005666434,0.000014845093,0.00048113364],"study_design_scores_gemma":[0.00014196521,0.000021276572,0.0018592483,0.000047161764,0.000005019394,7.4842035e-7,0.00009284654,0.7015386,0.2961712,0.00006248274,0.0000018121088,0.000057621393],"about_ca_topic_score_codex":0.000029824341,"about_ca_topic_score_gemma":0.0000019977147,"teacher_disagreement_score":0.3724194,"about_ca_system_score_codex":0.000019958195,"about_ca_system_score_gemma":0.0000021851708,"threshold_uncertainty_score":0.25306875},"labels":[],"label_agreement":null},{"id":"W3106584419","doi":"10.1109/gcwkshps50303.2020.9367586","title":"Deep Learning Approach to Channel Sensing and Hybrid Precoding for TDD Massive MIMO Systems","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Huawei Technologies","keywords":"Precoding; Telecommunications link; Channel (broadcasting); MIMO; Beamforming; Computer science; Duplex (building); Electronic engineering; Overhead (engineering); Channel state information; Engineering; Computer engineering; Computer network; Telecommunications; Wireless","score_opus":0.024240079258320266,"score_gpt":0.22734887844647164,"score_spread":0.2031087991881514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106584419","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":[0.00042932766,0.0008405382,0.9895405,0.000044285967,0.0011044993,0.0024367666,0.000018965826,0.0010137773,0.0045713237],"genre_scores_gemma":[0.8018701,0.00007437125,0.19650424,0.000018792358,0.00058161287,0.00026808886,0.0001871057,0.0002115042,0.0002841612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982807,0.00004696125,0.00048191092,0.00067554286,0.00012784118,0.0003870567],"domain_scores_gemma":[0.9991862,0.000102655686,0.00013592876,0.00025244174,0.00012451425,0.00019827091],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018425044,0.0004320835,0.0006254961,0.00018511878,0.000114690134,0.0002132678,0.00013738022,0.00021142176,0.0000010390421],"category_scores_gemma":[0.00015751828,0.000483803,0.00008308372,0.00010999318,0.000011374512,0.00011247316,0.00027936453,0.00047804147,0.000006914672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007830164,0.0000031058087,0.000002368964,0.002756603,0.000091542606,0.0000022974718,0.000906779,0.9931313,0.000536238,0.00017011343,0.00015662782,0.0022352433],"study_design_scores_gemma":[0.00017042013,0.000021772694,0.0000012772455,0.00040314873,0.00004560882,0.000022200058,0.0010119356,0.99655896,0.00076376024,0.00015256947,0.00033029032,0.00051804044],"about_ca_topic_score_codex":0.000031837997,"about_ca_topic_score_gemma":0.0000035010046,"teacher_disagreement_score":0.80144083,"about_ca_system_score_codex":0.00020871495,"about_ca_system_score_gemma":0.000015214949,"threshold_uncertainty_score":0.99976134},"labels":[],"label_agreement":null},{"id":"W3106607090","doi":"10.1109/ccece47787.2020.9255826","title":"Measurement and Analysis of Small Cell Splitting in a Real-world LTE-A HetNet","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs","keywords":"Heterogeneous network; Throughput; Subframe; Computer science; Interference (communication); LTE Advanced; Computer network; Cellular network; Software deployment; Base station; Telecommunications link; Telecommunications; Wireless; Wireless network","score_opus":0.031114540469396733,"score_gpt":0.22597570264790026,"score_spread":0.19486116217850352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106607090","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":[0.13877602,0.00044082294,0.8306667,0.000062504725,0.00003645468,0.00028857618,0.00000515616,0.0002186963,0.02950504],"genre_scores_gemma":[0.98369944,0.00003798581,0.01617999,0.000016998556,0.000009672485,0.0000050934336,0.0000038426815,0.000012189481,0.00003478994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943393,0.000013710517,0.0002593586,0.000117094634,0.00008097058,0.0000949522],"domain_scores_gemma":[0.9997885,0.000014136726,0.00003455489,0.000085856926,0.000032744687,0.000044198616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013032497,0.00007320318,0.00021039721,0.0001739052,0.0000064249793,0.0000063005514,0.000037963033,0.000020713556,0.00001546358],"category_scores_gemma":[0.000018513409,0.00007553353,0.000027463993,0.00082758797,0.0000047559492,0.000044549324,0.000015976497,0.00004471038,0.0000011818133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026583118,0.0000053250674,0.027895983,0.00013174067,0.00006479163,9.4774583e-7,0.00042742584,0.96289945,0.008166916,0.000073434574,0.000014716949,0.00031663838],"study_design_scores_gemma":[0.00019365725,0.000008870345,0.0052608736,0.000021196864,0.000083621395,4.797821e-8,0.00012454586,0.9882446,0.0059238793,0.000004396657,0.000047583497,0.00008671989],"about_ca_topic_score_codex":0.00017395488,"about_ca_topic_score_gemma":0.0013594584,"teacher_disagreement_score":0.84492344,"about_ca_system_score_codex":0.000049341896,"about_ca_system_score_gemma":0.000004582418,"threshold_uncertainty_score":0.30801678},"labels":[],"label_agreement":null},{"id":"W3107506823","doi":"10.1109/ojsp.2020.3040590","title":"Linear CE and 1-bit Quantized Precoding With Optimized Dithering","year":2020,"lang":"en","type":"article","venue":"IEEE Open Journal of Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Science Foundation","keywords":"Dither; Precoding; Quantization (signal processing); Transmitter; Predistortion; Transmission (telecommunications); Telecommunications link; Electronic engineering; Bit error rate; Transmitter power output; Computer science; Mathematics; Control theory (sociology); Amplifier; Topology (electrical circuits); Algorithm; Telecommunications; MIMO; Bandwidth (computing); Engineering; Decoding methods","score_opus":0.03112275130928852,"score_gpt":0.2599415009134211,"score_spread":0.2288187496041326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107506823","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":[0.05012901,0.0010089375,0.9477668,0.0001154742,0.00007523092,0.00022244768,0.0000013383737,0.00005802399,0.00062272925],"genre_scores_gemma":[0.8279397,0.000059303555,0.17167376,0.000040660034,0.00021310984,0.0000032078829,4.582382e-7,0.000055414584,0.0000144022415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990104,0.00003029748,0.00047924957,0.00014351017,0.00015073303,0.00018579893],"domain_scores_gemma":[0.9992543,0.000047340047,0.00030887887,0.000054554956,0.00016315118,0.00017176374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002753433,0.00017640137,0.00041069544,0.000063997395,0.00010561896,0.0002631546,0.00027007796,0.00004998166,0.000024128456],"category_scores_gemma":[0.00002468071,0.00014448253,0.00003047154,0.00022923162,0.000029728713,0.0015044613,0.00003489432,0.00027864872,0.0000018715916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030569156,0.000008220942,0.000068060785,0.00025685373,0.000055259105,0.000041874646,0.0010904783,0.9346369,0.050523642,0.000002837784,0.000035985944,0.0129742],"study_design_scores_gemma":[0.0031307621,0.00024367702,0.000009188736,0.0014246885,0.00006928739,0.0002755723,0.00064819655,0.9564282,0.03717711,0.000033644734,0.00022432994,0.00033538888],"about_ca_topic_score_codex":0.0000013624825,"about_ca_topic_score_gemma":5.701912e-7,"teacher_disagreement_score":0.7778107,"about_ca_system_score_codex":0.000037156573,"about_ca_system_score_gemma":0.00006148531,"threshold_uncertainty_score":0.5891826},"labels":[],"label_agreement":null},{"id":"W3108421304","doi":"10.1109/access.2020.3041770","title":"Spectrum-Efficient QoS-Aware Resource Assignment for FFR-Based D2D-Enabled Heterogeneous Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; Power control; Quality of service; Base station; Mathematical optimization; Maximization; Heuristic; Admission control; Throughput; Spectral efficiency; Computer network; Power (physics); Wireless; Telecommunications","score_opus":0.023813427667667128,"score_gpt":0.25051283089637344,"score_spread":0.2266994032287063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108421304","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":[0.008063677,0.00023237812,0.988888,0.0001889343,0.00075634755,0.0009486601,0.000025943844,0.0006448666,0.00025119295],"genre_scores_gemma":[0.9970911,0.000006531414,0.0013346263,0.0004045343,0.00076164113,0.00020962379,0.000048053083,0.00011465583,0.000029214301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986654,0.000029643712,0.0003477947,0.00035509653,0.00016945763,0.00043262038],"domain_scores_gemma":[0.9993036,0.00009045914,0.00008591474,0.00030399163,0.00004147281,0.0001745562],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008794134,0.0002487015,0.00027424152,0.00005822336,0.00009995154,0.00012531059,0.00038443788,0.00011345488,0.000034809218],"category_scores_gemma":[0.000017536979,0.00026107804,0.000095599666,0.00029378448,0.000016624674,0.000117326104,0.00003547437,0.00013717235,0.000014676974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004207132,0.000018942239,0.000048062408,0.00013078755,0.000027622187,0.0000113658,0.000058691276,0.9954043,0.0006304552,0.000005433124,0.0032280313,0.00039423414],"study_design_scores_gemma":[0.0007465703,0.000059295413,0.000008705136,0.000047849637,0.000022773616,0.0000023776188,0.000017139655,0.96880245,0.026054695,0.0000071291875,0.0039470284,0.00028397513],"about_ca_topic_score_codex":0.0000038484523,"about_ca_topic_score_gemma":0.000006809524,"teacher_disagreement_score":0.98902744,"about_ca_system_score_codex":0.00018329381,"about_ca_system_score_gemma":0.000017453765,"threshold_uncertainty_score":0.99998415},"labels":[],"label_agreement":null},{"id":"W3109431436","doi":"10.1109/access.2020.3037625","title":"IEEE Access Special Section: Antenna and Propagation for 5G and Beyond","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Special section; Computer science; Section (typography); Telecommunications; Antenna (radio); Computer network; Physics","score_opus":0.028797302908091044,"score_gpt":0.27407410809684846,"score_spread":0.2452768051887574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109431436","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":[0.10491134,0.00019986775,0.888581,0.00027703558,0.002979014,0.00094328925,0.000025640396,0.00030775316,0.0017751101],"genre_scores_gemma":[0.99368024,0.00010296628,0.0008490535,0.00013702961,0.0050490135,0.0000849978,0.000012609456,0.000044398446,0.00003966673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933356,0.000010652375,0.00019602243,0.00023120265,0.00007739927,0.00015116639],"domain_scores_gemma":[0.9996693,0.00003441919,0.000053354303,0.00008732088,0.00007174626,0.000083847546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050981595,0.0001361154,0.00016257048,0.00005489984,0.00008860319,0.00022976368,0.00013119,0.00007701503,0.000010332544],"category_scores_gemma":[0.000028149252,0.00014250429,0.000018543755,0.00019690374,0.000025019923,0.0013582219,0.00001654575,0.00008390982,0.0000019753097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046182872,0.000067262576,0.011607674,0.004882743,0.00025374407,0.0000274327,0.0045348285,0.7681677,0.12192131,0.0005475613,0.03977532,0.04775259],"study_design_scores_gemma":[0.0027809038,0.00019214787,0.00329888,0.00012145314,0.00008323378,0.000042092528,0.00016271602,0.87705016,0.106184006,0.0008527263,0.008295418,0.00093625],"about_ca_topic_score_codex":0.0000055022833,"about_ca_topic_score_gemma":0.000023444132,"teacher_disagreement_score":0.8887689,"about_ca_system_score_codex":0.000030507874,"about_ca_system_score_gemma":0.000009439735,"threshold_uncertainty_score":0.5811156},"labels":[],"label_agreement":null},{"id":"W3112073723","doi":"10.1109/twc.2020.3041339","title":"Robust Secrecy Competition With Aggregate Interference Constraint in Small-Cell Networks","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China; National Science Foundation","keywords":"Computer science; Eavesdropping; Provisioning; Mathematical optimization; Small cell; Nash equilibrium; Computer network; Base station; Mathematics","score_opus":0.03224931720386827,"score_gpt":0.21665900117625786,"score_spread":0.1844096839723896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112073723","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":[0.008801991,0.00016380765,0.98790896,0.00039238582,0.00010763147,0.00045208304,0.000034997123,0.00047692726,0.0016611933],"genre_scores_gemma":[0.9818756,0.0010334303,0.016651757,0.00009667232,0.000016070198,0.00020266241,0.00004318488,0.000058744525,0.000021856318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898064,0.00010769832,0.00038136946,0.00022502527,0.0000702805,0.00023497482],"domain_scores_gemma":[0.99880266,0.00016047471,0.000073632444,0.00075977005,0.00007910917,0.00012435745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006872919,0.0002270142,0.00024420512,0.00013113933,0.0001606935,0.00004517431,0.00049334683,0.000109761786,0.000035967845],"category_scores_gemma":[0.0000020744794,0.00024725514,0.000049135455,0.0006113523,0.00013952963,0.00020215847,0.000004761962,0.0006708365,0.000029149725],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022065069,0.00008908933,0.000021755393,0.0000453294,0.000022265012,0.0000021329004,0.00061517616,0.99205273,0.0010653535,0.00049893156,0.0000055203745,0.0055596456],"study_design_scores_gemma":[0.0007181712,0.00007942196,0.000016379321,0.00028868206,0.00002360391,0.000008696454,0.0005569102,0.9941759,0.0037721128,0.000017324597,0.000061421,0.0002813661],"about_ca_topic_score_codex":0.00003932034,"about_ca_topic_score_gemma":0.0012423799,"teacher_disagreement_score":0.9730736,"about_ca_system_score_codex":0.00013848778,"about_ca_system_score_gemma":0.00003370628,"threshold_uncertainty_score":0.999998},"labels":[],"label_agreement":null},{"id":"W3112374657","doi":"10.1049/cmu2.12053","title":"Low‐complexity channel estimation for time division duplex massive multi‐user multi‐input multi‐output systems","year":2020,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Duplex (building); Computer science; Division (mathematics); Channel (broadcasting); Real-time computing; Telecommunications; Mathematics; Arithmetic","score_opus":0.07546087393445206,"score_gpt":0.29724478172888363,"score_spread":0.22178390779443158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112374657","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":[0.00053491595,0.0007139388,0.9940192,0.0007533457,0.00027760176,0.0020962977,0.00036612182,0.0011028615,0.00013569083],"genre_scores_gemma":[0.621723,0.00009208732,0.37588617,0.00006525456,0.00006369826,0.00065862807,0.001006259,0.000114950264,0.00038996217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831635,0.0001403384,0.0006760269,0.00034426397,0.00016336511,0.0003596468],"domain_scores_gemma":[0.9975059,0.00029567885,0.00022152359,0.0014489866,0.00032605146,0.00020184313],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019320265,0.00033458267,0.00041176914,0.00011587175,0.00043341765,0.000109289766,0.0009099572,0.00019173115,0.000011965163],"category_scores_gemma":[0.0003629355,0.00037454758,0.00012992711,0.00036369084,0.00011322207,0.0005192849,0.00027510116,0.00029066965,0.00030091504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007507151,0.00012474196,0.0000369258,0.00025896262,0.00005080837,4.215353e-7,0.0014662676,0.9930188,0.0031028504,0.0004359528,0.0007877894,0.00070896896],"study_design_scores_gemma":[0.001383672,0.00002966917,0.00040152957,0.00016300913,0.000037319696,0.0000017110261,0.00025706232,0.9950845,0.0004016331,0.00001605742,0.0018454441,0.00037835597],"about_ca_topic_score_codex":0.000047278165,"about_ca_topic_score_gemma":0.000032587734,"teacher_disagreement_score":0.62118804,"about_ca_system_score_codex":0.00020856317,"about_ca_system_score_gemma":0.000030329133,"threshold_uncertainty_score":0.99987066},"labels":[],"label_agreement":null},{"id":"W3112739849","doi":"10.1186/s13638-020-01872-5","title":"Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC services","year":2020,"lang":"en","type":"article","venue":"EURASIP Journal on Wireless Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Chongqing Municipal Education Commission; China Scholarship Council; National Natural Science Foundation of China; Canada Research Chairs","keywords":"Computer science; Reinforcement learning; Scheduling (production processes); Multipath propagation; Distributed computing; Computer network; Economic shortage; Mathematical optimization; Artificial intelligence; Channel (broadcasting)","score_opus":0.020450542838154225,"score_gpt":0.23458093347078188,"score_spread":0.21413039063262765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112739849","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":[0.016368972,0.0070031364,0.97083217,0.0045833364,0.00017736628,0.0004942847,0.0000030114925,0.00013402973,0.0004036945],"genre_scores_gemma":[0.99318093,0.003200257,0.0030844205,0.0002013216,0.000233566,0.000024414614,0.000027238806,0.00003496212,0.000012871575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991153,0.000077694844,0.0004015218,0.00009553285,0.00014856586,0.00016141063],"domain_scores_gemma":[0.99879026,0.00040103175,0.0002717919,0.000373218,0.00009590993,0.00006780719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035041274,0.00012981365,0.0001725643,0.000042134692,0.00046247564,0.0000680404,0.0004168159,0.000033256096,0.000003889763],"category_scores_gemma":[0.000013618529,0.00010939249,0.000052315034,0.0001804167,0.000043967513,0.00010567057,0.000059557948,0.0003613745,0.0000011985378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003634862,0.0000084542535,0.00017233347,0.00006348141,0.000045349083,2.8599158e-7,0.00032943118,0.98986626,0.00041271307,0.00042240575,0.00008014255,0.008562813],"study_design_scores_gemma":[0.00045543842,0.00010621821,0.00004695438,0.00026213503,0.00002503333,0.0000055213454,0.00017776959,0.9636786,0.00070478173,0.000029510038,0.034399953,0.00010808936],"about_ca_topic_score_codex":0.000005876787,"about_ca_topic_score_gemma":0.000008725565,"teacher_disagreement_score":0.97681195,"about_ca_system_score_codex":0.00006917304,"about_ca_system_score_gemma":0.000021901933,"threshold_uncertainty_score":0.44608963},"labels":[],"label_agreement":null},{"id":"W3112871939","doi":"10.4018/ijertcs.20210101.oa4","title":"Efficient Channel Estimation in Massive MIMO Partially Centralized Cloud-Radio Access Network Systems","year":2020,"lang":"en","type":"article","venue":"International Journal of Embedded and Real-Time Communication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"College of the Rockies","funders":"","keywords":"Estimator; MIMO; Computer science; Minimum mean square error; Channel (broadcasting); Compressed sensing; Mean squared error; Overhead (engineering); Cloud computing; Algorithm; Computer network; Mathematics; Statistics","score_opus":0.01979389106303018,"score_gpt":0.27749243120122835,"score_spread":0.25769854013819815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112871939","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":[0.1252157,0.017018292,0.83851486,0.002904493,0.0075093377,0.0025539661,0.000099333,0.0005099475,0.0056740777],"genre_scores_gemma":[0.99588114,0.0013799947,0.0020066416,0.000025034771,0.00054348045,0.000029879777,0.000061215644,0.000041638246,0.000030999403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975871,0.0003152615,0.0012940647,0.00016016682,0.00041691234,0.00022648218],"domain_scores_gemma":[0.9981261,0.00022339982,0.0007463304,0.000258527,0.00046891917,0.00017671508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059757027,0.00021493513,0.00048666878,0.00019882705,0.000067432404,0.0002828604,0.0007466451,0.00012946027,0.000010104708],"category_scores_gemma":[0.00011091179,0.0002032944,0.00007931368,0.0002943458,0.000044332242,0.0003734418,0.00010693308,0.00025236624,0.000011978371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008388668,0.000029438937,0.00011832217,0.000069829504,0.00014497904,0.000015130417,0.0011139956,0.9948258,0.00078444387,0.0015607737,0.0010602123,0.00019318034],"study_design_scores_gemma":[0.0010091326,0.000036024558,0.00016408849,0.0008140058,0.000025564099,0.00008951551,0.000499783,0.99662757,0.00006869828,0.00005686548,0.0004226011,0.00018614593],"about_ca_topic_score_codex":0.000059058264,"about_ca_topic_score_gemma":0.0000041054914,"teacher_disagreement_score":0.87066543,"about_ca_system_score_codex":0.00024299875,"about_ca_system_score_gemma":0.000052467323,"threshold_uncertainty_score":0.82901055},"labels":[],"label_agreement":null},{"id":"W3113370602","doi":"10.1109/icc42927.2021.9500721","title":"Reinforcement Learning Based Dynamic Function Splitting in Disaggregated Green Open RANs","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Reinforcement learning; Sizing; Function (biology); Energy consumption; Minification; Dimension (graph theory); Efficient energy use","score_opus":0.008618119845086036,"score_gpt":0.22972154193657582,"score_spread":0.22110342209148978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113370602","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":[0.007900084,0.00006831797,0.98041105,0.000047116173,0.00012667644,0.0002822336,5.0703534e-7,0.00027955003,0.010884462],"genre_scores_gemma":[0.98990315,0.000012039942,0.0058493633,0.000037555536,0.000014039212,0.00003755173,0.00011629749,0.000036043755,0.003993977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992285,0.00003862626,0.00028750303,0.00017592653,0.00008060467,0.00018883373],"domain_scores_gemma":[0.99971443,0.00003598156,0.000036438872,0.00013375908,0.000043916298,0.00003548649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000136377,0.00011345228,0.00014947933,0.000073562755,0.000039990813,0.000054018885,0.00008996586,0.000055725643,0.0002561358],"category_scores_gemma":[0.000043445336,0.00012508738,0.000024110728,0.00038142534,0.0000053526464,0.0003276575,0.000046996054,0.00014266126,0.000026751233],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009372587,0.000005357617,0.00054874265,0.00005372491,0.000010036566,0.0000066865564,0.00009687942,0.9905373,0.004868919,0.00007214641,0.000007994667,0.0037828756],"study_design_scores_gemma":[0.00085040345,0.000015144157,0.00036091922,0.00012093952,0.0000065840127,0.0000017696287,0.0002861166,0.995676,0.0018348725,0.000022786311,0.00067483704,0.00014966326],"about_ca_topic_score_codex":0.00015470179,"about_ca_topic_score_gemma":0.0005824942,"teacher_disagreement_score":0.98200303,"about_ca_system_score_codex":0.00020128583,"about_ca_system_score_gemma":0.00002349251,"threshold_uncertainty_score":0.51009154},"labels":[],"label_agreement":null},{"id":"W3115082264","doi":"10.1109/isncc49221.2020.9297304","title":"Resource Allocation for Device-to-Device (D2D) Communications of Uplink Multi-Cell Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Telecommunications link; Cellular network; Computer network; Resource allocation; Throughput; Spectral efficiency; Power control; Radio resource management; Optimization problem; Wireless network; User equipment; Distributed computing; Wireless; Base station; Power (physics); Telecommunications; Channel (broadcasting)","score_opus":0.04300916744548823,"score_gpt":0.2707977156388778,"score_spread":0.22778854819338956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115082264","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":[0.00018161685,0.0005394387,0.99449635,0.0007451619,0.00004438052,0.00075409637,0.00000506281,0.0003102809,0.0029236416],"genre_scores_gemma":[0.62177503,0.000037341233,0.37747753,0.0003007689,0.000046081925,0.000092372924,0.00008528602,0.00004302996,0.00014254385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992858,0.000020192818,0.00034994862,0.00014389957,0.00005199653,0.00014814659],"domain_scores_gemma":[0.9989256,0.00014019459,0.00006471585,0.0006393101,0.00013225562,0.00009791812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097510805,0.000115175,0.00016797194,0.000041261643,0.000052423475,0.000011848913,0.00043282867,0.000078694684,0.00000663085],"category_scores_gemma":[0.000055292967,0.00012818573,0.000041040294,0.00031048554,0.000013627324,0.00009986083,0.00009403077,0.00009047288,0.000020640391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006556357,0.000018817434,0.000044286895,0.00012756443,0.00001242853,3.2722994e-8,0.00042527792,0.9918084,0.00319291,0.00024578898,0.0016880883,0.0024298257],"study_design_scores_gemma":[0.00040357045,0.0000252257,0.000014949278,0.000028154876,0.000016109816,1.9927326e-7,0.00019619096,0.9768676,0.002731238,0.000003422417,0.019585077,0.00012823289],"about_ca_topic_score_codex":0.000009766531,"about_ca_topic_score_gemma":0.00002724915,"teacher_disagreement_score":0.6215934,"about_ca_system_score_codex":0.000038146267,"about_ca_system_score_gemma":0.00000926071,"threshold_uncertainty_score":0.52272624},"labels":[],"label_agreement":null},{"id":"W3115437716","doi":"10.1109/isncc49221.2020.9297231","title":"On Evaluating Independent Set Heuristics for Wireless Backhaul Network Capacity of 5G Ultra-Dense Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Heuristics; Wireless network; Wireless; Distributed computing; Telecommunications; Base station","score_opus":0.040178575163564434,"score_gpt":0.2646970152842039,"score_spread":0.22451844012063948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115437716","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":[0.031409513,0.000061621264,0.9659648,0.000020826295,0.00043218897,0.00060257193,0.000030284133,0.0002507363,0.0012274603],"genre_scores_gemma":[0.97634405,0.000019504188,0.0229544,0.00011556472,0.00038744815,0.00003742788,0.00004321578,0.00006529749,0.000033120614],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998806,0.000042556647,0.00044758344,0.00021913159,0.00018513693,0.00029957134],"domain_scores_gemma":[0.9991189,0.0003346118,0.00010938839,0.0001960446,0.00013153006,0.00010951916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025565884,0.00019234583,0.00030732105,0.00002318863,0.00005471434,0.000016840959,0.00012557047,0.00013042547,0.000030732317],"category_scores_gemma":[0.00017178178,0.00019772816,0.000068038185,0.0002040301,0.000018983477,0.00007452526,0.000011369085,0.00018595229,0.000007072524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038728092,0.0000073755823,0.00012762049,0.00015762028,0.000036347123,8.336157e-7,0.00020382028,0.9943708,0.0010672862,0.0013100869,0.00201183,0.0006676429],"study_design_scores_gemma":[0.00053251744,0.00014931502,0.00003424128,0.0000774671,0.000025995656,0.0000018176152,0.00006387495,0.99636656,0.002208667,0.00028032906,0.000060045466,0.00019915773],"about_ca_topic_score_codex":0.0000059748995,"about_ca_topic_score_gemma":0.000014316565,"teacher_disagreement_score":0.9449345,"about_ca_system_score_codex":0.00006795497,"about_ca_system_score_gemma":0.000012438244,"threshold_uncertainty_score":0.806312},"labels":[],"label_agreement":null},{"id":"W3115542474","doi":"10.1109/isncc49221.2020.9297282","title":"Using Machine Learning to Locate Gateways in the Wireless Backhaul of 5G Ultra-Dense Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer network; Wireless; Computer science; Wireless network; Telecommunications","score_opus":0.027059780606128472,"score_gpt":0.2304005232467891,"score_spread":0.20334074264066065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115542474","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":[0.07139998,0.00016138947,0.9257753,0.00007584718,0.00007089442,0.00024025614,0.0000012915544,0.0001411584,0.0021339047],"genre_scores_gemma":[0.9946911,0.000030692772,0.005017888,0.00012618418,0.000059443682,0.000005412345,0.000006114306,0.000035627134,0.000027593003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930537,0.00004891128,0.00025774722,0.00012349077,0.0000846721,0.00017983456],"domain_scores_gemma":[0.9997159,0.00005724681,0.000034257107,0.0001166863,0.000026077372,0.00004980189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013902891,0.00011539845,0.00017161148,0.000042258576,0.000026653954,0.000014971625,0.00012851348,0.000047923466,0.000024065219],"category_scores_gemma":[0.00003252288,0.000094233525,0.000024997016,0.00046990675,0.000010143803,0.00008942501,0.000011752084,0.00018774152,0.000011729625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008150385,0.0000034768216,0.00061910646,0.000042943426,0.0000062285826,0.00000420208,0.0012744609,0.9778985,0.0196704,0.00006384142,0.00003483961,0.00037384283],"study_design_scores_gemma":[0.00016878555,0.000020456835,0.000042452455,0.000043489526,0.0000050684466,0.0000045726774,0.0003867258,0.99169534,0.007362703,0.0000038820854,0.00015838852,0.00010811816],"about_ca_topic_score_codex":0.00007339713,"about_ca_topic_score_gemma":0.0000751321,"teacher_disagreement_score":0.9232911,"about_ca_system_score_codex":0.000032125237,"about_ca_system_score_gemma":0.0000048017077,"threshold_uncertainty_score":0.38427317},"labels":[],"label_agreement":null},{"id":"W3115673470","doi":"10.1109/access.2020.3047720","title":"A Green Downlink Power Allocation Scheme for Cell-Free Massive MIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Telecommunications link; MIMO; Computer science; Upper and lower bounds; Benchmark (surveying); Bounding overwatch; Convex optimization; Optimization problem; Transmitter power output; Probabilistic logic; Resource allocation; Mathematics; Regular polygon; Transmitter; Telecommunications","score_opus":0.022726976013119054,"score_gpt":0.2555147828941851,"score_spread":0.23278780688106607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115673470","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":[0.007866322,0.00048019207,0.98661005,0.0003974499,0.0011301648,0.0011224507,0.00007358631,0.0005484102,0.0017713751],"genre_scores_gemma":[0.99242675,0.000020105517,0.0062980433,0.00013597691,0.0004855155,0.00032116074,0.000052133862,0.00008551137,0.00017481655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990371,0.000015883725,0.00031770914,0.000255323,0.00013325633,0.00024076801],"domain_scores_gemma":[0.9992438,0.000053031883,0.0000951941,0.0003404854,0.00015485538,0.00011264413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006275991,0.0001845924,0.00022024108,0.00005948625,0.00005253984,0.00010546268,0.00050684856,0.00011965075,0.000013013192],"category_scores_gemma":[0.000049807764,0.00019574031,0.000054581193,0.00024871287,0.000012327978,0.0006254903,0.00004386704,0.00010236198,0.000045508412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028030574,0.000017047296,0.00019510959,0.0009378213,0.000054560587,0.000004333536,0.00046956635,0.9478148,0.032060113,0.00023876136,0.017974129,0.00020569474],"study_design_scores_gemma":[0.001508877,0.00007024571,0.00004405138,0.000091504946,0.00003297744,0.0000025469656,0.00015381198,0.95939463,0.030232461,0.00011621935,0.007871656,0.00048100695],"about_ca_topic_score_codex":0.000040053408,"about_ca_topic_score_gemma":0.000007637421,"teacher_disagreement_score":0.98456043,"about_ca_system_score_codex":0.00008337663,"about_ca_system_score_gemma":0.000019164665,"threshold_uncertainty_score":0.79820585},"labels":[],"label_agreement":null},{"id":"W3116050109","doi":"10.1109/tgcn.2020.3046140","title":"Uplink Power Allocation for Throughput and Energy Efficiency Over Nakagami-<i>m</i> Fading Channels","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Nakagami distribution; Fading; Throughput; Computer science; Maximization; Signal-to-interference-plus-noise ratio; Mathematical optimization; Moment-generating function; Telecommunications link; Power (physics); Mathematics; Algorithm; Probability distribution; Wireless; Statistics; Telecommunications; Decoding methods","score_opus":0.026581382076430002,"score_gpt":0.24169477119296487,"score_spread":0.21511338911653488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116050109","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":[0.0009918076,0.0025661832,0.99482924,0.0005362012,0.0002823486,0.00022414401,0.00001210991,0.00023796741,0.00031998428],"genre_scores_gemma":[0.98775643,0.003702614,0.007915188,0.00028327125,0.00009776659,0.00013556429,0.000014522293,0.000049837403,0.000044795157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992222,0.000032051958,0.00027062246,0.00021495225,0.000063668675,0.00019647458],"domain_scores_gemma":[0.99924034,0.00018987147,0.000048758207,0.00038408212,0.000047454647,0.00008950266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000918754,0.00017089832,0.00017575735,0.00007093067,0.00044091252,0.000055232296,0.00018409533,0.00009347042,0.0000041084954],"category_scores_gemma":[7.5988163e-7,0.00019271845,0.000045806257,0.00027823343,0.00006112388,0.00022140384,0.0000065157374,0.0001611793,0.0000011101228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031967218,0.000056725246,0.000020271065,0.00010252078,0.00011306531,3.9414599e-7,0.002704936,0.69409347,0.002459391,0.00061456964,0.00015978553,0.29964292],"study_design_scores_gemma":[0.0003589144,0.00007038043,0.0000027156307,0.000076788405,0.000033017368,0.0000044780677,0.000064134394,0.99005216,0.0004264406,0.00009131815,0.008619831,0.00019982179],"about_ca_topic_score_codex":0.00004196531,"about_ca_topic_score_gemma":0.000057629528,"teacher_disagreement_score":0.98691404,"about_ca_system_score_codex":0.000040451076,"about_ca_system_score_gemma":0.0000087181115,"threshold_uncertainty_score":0.785883},"labels":[],"label_agreement":null},{"id":"W3116943292","doi":"10.1109/isncc49221.2020.9297353","title":"Resource Management Based on Reinforcement Learning for D2D Communication in Cellular Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Reinforcement learning; Computer science; Markov decision process; Cellular network; Latency (audio); Power control; Spectral efficiency; Q-learning; Distributed computing; Wireless network; Computer network; Wireless; Markov process; Channel (broadcasting); Artificial intelligence; Power (physics); Telecommunications","score_opus":0.011117705411552058,"score_gpt":0.2025312453126293,"score_spread":0.19141353990107726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116943292","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":[0.00008207456,0.00006080725,0.9697205,0.00017543195,0.000021398873,0.00053920475,1.3234063e-7,0.00023687196,0.029163605],"genre_scores_gemma":[0.97909963,0.000023106848,0.02003528,0.00025148442,0.000024919256,0.0001131081,0.00009599099,0.00003103423,0.00032545798],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994693,0.000023837702,0.00020124433,0.00010729783,0.000063202824,0.00013514707],"domain_scores_gemma":[0.99969333,0.000050783936,0.000028662707,0.00018124204,0.000011042012,0.0000349274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011894279,0.000087367014,0.00009165343,0.000050209783,0.00003876959,0.000014699523,0.00010202089,0.000038724073,0.000020660775],"category_scores_gemma":[0.000009190395,0.000096896714,0.000022993123,0.0001513475,0.000004426048,0.000052069812,0.000021702728,0.00010863971,0.000007502732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001864983,0.000003561831,0.000030235098,0.000073552685,0.0000052821074,5.4249756e-7,0.00009002182,0.9966975,0.000047325313,0.0007582343,0.0005578571,0.0017172676],"study_design_scores_gemma":[0.0005575179,0.000038770566,0.000006907604,0.000057624733,0.00000415458,2.485634e-8,0.00017399463,0.98370886,0.00035628807,0.000005845862,0.014991926,0.000098093136],"about_ca_topic_score_codex":0.000002095851,"about_ca_topic_score_gemma":0.0000020239368,"teacher_disagreement_score":0.97901756,"about_ca_system_score_codex":0.000081246704,"about_ca_system_score_gemma":0.0000013628113,"threshold_uncertainty_score":0.39513335},"labels":[],"label_agreement":null},{"id":"W3117067241","doi":"10.5267/j.ijdns.2020.12.002","title":"Energy efficient target set selection and buffer management for D2D mobile data offloading","year":2020,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Femtocell; Cellular traffic; Distributed computing; Cellular network; Computer network; Small cell; Cluster analysis; Mobile device; Base station","score_opus":0.026593635710806973,"score_gpt":0.2866813442375911,"score_spread":0.26008770852678414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117067241","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":[0.0055965628,0.0007201833,0.9927149,0.00011085245,0.00058918586,0.00007658517,0.000109207096,0.000015363978,0.00006715636],"genre_scores_gemma":[0.9122944,0.0005893498,0.0863472,0.000089017696,0.0005713228,0.0000026107584,0.000090825255,0.000008521782,0.000006744886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924517,0.0000073431643,0.00021500423,0.00019134926,0.00022482868,0.000116327334],"domain_scores_gemma":[0.99954957,0.000039255752,0.00008955861,0.00012999435,0.000113373484,0.00007822464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042348215,0.000063656706,0.00008829168,0.0000663206,0.00006787105,0.000102765356,0.000743768,0.000014605142,0.0000042407974],"category_scores_gemma":[0.00002320903,0.000058389658,0.0000073149704,0.00017625414,0.00003741531,0.0008310944,0.0003693005,0.00004936808,2.8790697e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023794111,0.000005566266,0.00017859058,0.000016225476,0.000043533306,0.0000032678286,0.000077213466,0.97408706,0.0007690913,0.0002762819,0.0043092617,0.0202101],"study_design_scores_gemma":[0.00023069982,0.000032082447,0.0000363958,0.000044705954,0.000011588033,0.000036211037,0.000050714945,0.9761366,0.00019678334,0.000066630586,0.023097942,0.000059623846],"about_ca_topic_score_codex":0.0000012341254,"about_ca_topic_score_gemma":0.0000018055481,"teacher_disagreement_score":0.90669787,"about_ca_system_score_codex":0.00003247568,"about_ca_system_score_gemma":0.000016464546,"threshold_uncertainty_score":0.23810612},"labels":[],"label_agreement":null},{"id":"W3117258547","doi":"10.23919/eusipco47968.2020.9287600","title":"Iterative Channel Estimation for Large Scale MIMO with Highly Quantized Measurements in 5G","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Channel (broadcasting); MIMO; Algorithm; Detector; Estimator; Precoding; Electronic engineering; Mathematics; Telecommunications; Engineering","score_opus":0.02994759226024581,"score_gpt":0.24835109957081364,"score_spread":0.21840350731056782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117258547","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":[0.0064141867,0.00004111747,0.99136174,0.000143601,0.0000690297,0.0006964579,0.000012818158,0.0002434476,0.0010175896],"genre_scores_gemma":[0.9082087,0.0000019037967,0.09143389,0.000068199595,0.000028985363,0.00013083188,0.0000469573,0.00003121141,0.000049318736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939615,0.000012849729,0.00018636472,0.00014816437,0.000091988324,0.00016448261],"domain_scores_gemma":[0.9997677,0.000018724897,0.00002953997,0.000071902825,0.00006535347,0.00004674691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007959328,0.00011383955,0.00015756786,0.000049585975,0.0000271669,0.000019995861,0.00004787631,0.000039469196,0.000008440128],"category_scores_gemma":[0.000032266835,0.00010126593,0.000017176368,0.0001971502,0.0000038028954,0.00028617904,0.0000048399666,0.000044375854,0.000012440039],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056800327,0.000016077689,0.00023971523,0.00011831636,0.000017045682,4.214638e-7,0.0016749774,0.99369586,0.003608769,0.00018483654,0.00023388512,0.0001533191],"study_design_scores_gemma":[0.0017959211,0.000060547136,0.00008252535,0.000056103076,0.0000063445323,4.2950992e-7,0.00018306308,0.981737,0.015820777,0.000033033637,0.00008915524,0.0001350726],"about_ca_topic_score_codex":0.000005276498,"about_ca_topic_score_gemma":0.000111314235,"teacher_disagreement_score":0.9017945,"about_ca_system_score_codex":0.000055802288,"about_ca_system_score_gemma":0.0000075342377,"threshold_uncertainty_score":0.41295046},"labels":[],"label_agreement":null},{"id":"W3117321202","doi":"10.1109/wcsp49889.2020.9299795","title":"Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Telecommunications link; Extrapolation; Computer science; MIMO; Channel state information; Channel (broadcasting); Beamforming; Antenna (radio); Bottleneck; MIMO-OFDM; Algorithm; Electronic engineering; Computer network; Telecommunications; Engineering; Mathematics; Wireless; Statistics","score_opus":0.013581403510141117,"score_gpt":0.21791937254795635,"score_spread":0.20433796903781523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117321202","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":[0.0013440839,0.00006436585,0.9972122,0.00013016515,0.000090158996,0.00038014422,8.990648e-7,0.00040313398,0.00037485524],"genre_scores_gemma":[0.97606367,0.0000071709887,0.023589544,0.00005197887,0.00009179071,0.0000716359,0.000035215806,0.000037077032,0.00005190263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999459,0.000016509961,0.00017760479,0.00014297152,0.000048194466,0.00015568003],"domain_scores_gemma":[0.999797,0.000043763706,0.000032430955,0.000035648292,0.00004901672,0.00004213426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005352865,0.00009697172,0.00011018766,0.0000866252,0.000035939738,0.000014520827,0.000033205473,0.000066598164,0.000024816221],"category_scores_gemma":[0.00008284002,0.00010926497,0.000027903121,0.0002932455,0.0000037507994,0.00020643491,0.0000035375529,0.0000974675,0.0000081969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015430205,0.000003544545,0.00043959543,0.000067231704,0.000004301877,2.7438335e-7,0.00026480577,0.9839071,0.014476785,0.000045110726,0.000025725578,0.00075011636],"study_design_scores_gemma":[0.000501947,0.000047453424,0.00015156147,0.00001852325,0.000003824366,4.1407407e-7,0.00019329063,0.9950411,0.0037209317,0.000027148937,0.00017288126,0.000120952],"about_ca_topic_score_codex":0.0000080340305,"about_ca_topic_score_gemma":0.000054635788,"teacher_disagreement_score":0.9747196,"about_ca_system_score_codex":0.00007794723,"about_ca_system_score_gemma":0.000006372478,"threshold_uncertainty_score":0.44556963},"labels":[],"label_agreement":null},{"id":"W3118555316","doi":"10.18280/ts.370619","title":"Mitigating the Interference Caused by Pilot Contamination in Multi-cell Massive Multiple Input Multiple Output Systems Using Low Density Parity Check Codes in Uplink Scenario","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Telecommunications link; Low-density parity-check code; Base station; MIMO; Computer science; Bit error rate; Overhead (engineering); Algorithm; Interference (communication); Electronic engineering; Signal-to-noise ratio (imaging); Channel (broadcasting); Real-time computing; Mathematics; Telecommunications; Decoding methods; Engineering","score_opus":0.03910679757488322,"score_gpt":0.23335670654495444,"score_spread":0.19424990897007122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118555316","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":[0.51033235,0.00013989043,0.4883237,0.00003726204,0.000116510906,0.0009090522,0.000027575486,0.00010424102,0.000009434792],"genre_scores_gemma":[0.9966048,0.000011189182,0.0030074052,0.00005616375,0.0000643989,0.00010561869,0.00008760983,0.000053166998,0.000009626304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979622,0.00019304662,0.000807442,0.00040387106,0.00022098394,0.00041247145],"domain_scores_gemma":[0.9991219,0.00027519854,0.00021373192,0.00016760868,0.00011201288,0.00010954318],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039684042,0.00032903746,0.00041820775,0.00010047554,0.00010836677,0.00009830663,0.0002358296,0.0001173548,0.0000065221784],"category_scores_gemma":[0.00016800092,0.00031729916,0.000046015757,0.00032404208,0.00005597714,0.00035160052,0.000066933484,0.00042688305,0.00000788996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040415754,0.00012568384,0.05143434,0.0003011673,0.000019158535,0.000011419692,0.0034215318,0.8216536,0.12273774,0.0000050566296,0.000031852396,0.00021800897],"study_design_scores_gemma":[0.0032910423,0.000067780726,0.005529846,0.00034809523,0.000014476191,0.000001291178,0.0013386523,0.96737415,0.021709738,0.0000013766625,0.00000845434,0.00031507516],"about_ca_topic_score_codex":0.00087934086,"about_ca_topic_score_gemma":0.001335526,"teacher_disagreement_score":0.48627248,"about_ca_system_score_codex":0.00054170605,"about_ca_system_score_gemma":0.000038363505,"threshold_uncertainty_score":0.99992794},"labels":[],"label_agreement":null},{"id":"W3119102954","doi":"10.1109/iotm.0001.2000024","title":"LTE-U WiFi HetNets: Enabling Spectrum Sharing for 5G/Beyond 5G Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Simon Fraser University","funders":"","keywords":"Heterogeneous network; Computer science; Computer network; Spectrum management; Femtocell; Software deployment; Cellular network; Spectral efficiency; Macrocell; Wireless; Wireless network; Telecommunications; Base station; Cognitive radio; Channel (broadcasting)","score_opus":0.016658040599191834,"score_gpt":0.22715565975884247,"score_spread":0.21049761915965065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119102954","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":[0.018617421,0.0012650746,0.96396446,0.00024141574,0.0027037477,0.0009215872,0.000025165718,0.0008636722,0.01139745],"genre_scores_gemma":[0.99224895,0.000043209733,0.0046835975,0.00012952574,0.0005683667,0.000058372665,0.000030852138,0.00014417364,0.0020929778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982493,0.0000137675315,0.000737305,0.00041032187,0.00019832882,0.00039098627],"domain_scores_gemma":[0.99914396,0.00007979037,0.0002313361,0.00030210914,0.0001025949,0.00014018874],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021092428,0.00030712123,0.0005119538,0.00017963891,0.000028536691,0.0000995594,0.00046864047,0.00013010747,0.000027249473],"category_scores_gemma":[0.00012659945,0.00032978857,0.00013076064,0.00028268422,0.000029367751,0.00063691085,0.000037089234,0.00023086331,0.00008352722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083267885,0.000021214591,0.00016229508,0.002233004,0.00014338948,0.000011672496,0.0023391992,0.87602,0.10922747,0.0014306422,0.007972131,0.00035567075],"study_design_scores_gemma":[0.0007337925,0.0001450705,0.000005050144,0.00048321649,0.000036977417,0.000019876497,0.000083708735,0.9040102,0.08481523,0.00022312313,0.009072039,0.00037171494],"about_ca_topic_score_codex":0.00003510002,"about_ca_topic_score_gemma":0.000003894321,"teacher_disagreement_score":0.9736315,"about_ca_system_score_codex":0.000137749,"about_ca_system_score_gemma":0.000010604364,"threshold_uncertainty_score":0.9999154},"labels":[],"label_agreement":null},{"id":"W3119324982","doi":"10.1049/cmu2.12076","title":"Early results on deep unfolded conjugate gradient‐based large‐scale MIMO detection","year":2021,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conjugate gradient method; Scale (ratio); Computer science; MIMO; Conjugate; Artificial intelligence; Mathematics; Algorithm; Telecommunications; Physics; Mathematical analysis","score_opus":0.017070894841607058,"score_gpt":0.24723410077337793,"score_spread":0.23016320593177086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119324982","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":[0.07852264,0.001607907,0.87168807,0.0013444686,0.0010524527,0.00086056005,0.00031684982,0.0020365976,0.04257048],"genre_scores_gemma":[0.98162574,0.00016021475,0.017447231,0.00008037358,0.000030932217,0.00010234065,0.00032562378,0.00004665496,0.0001808977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989936,0.00013400975,0.0003503871,0.00018695909,0.00010921528,0.00022586832],"domain_scores_gemma":[0.99761736,0.00020030234,0.000070182476,0.0018747959,0.00016034472,0.000077000535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013610156,0.00014540528,0.0001552436,0.00009746645,0.0002601275,0.00004931118,0.0003399077,0.00009759119,0.000013218247],"category_scores_gemma":[0.000109455636,0.00017505877,0.0000671542,0.00046757318,0.000038587907,0.00016164516,0.000066999666,0.00025348234,0.00012938917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000078520665,0.0004570184,0.00024983418,0.00009165903,0.00012964573,0.000010025755,0.0045513404,0.95122886,0.031808436,0.0023211893,0.00081708794,0.008256366],"study_design_scores_gemma":[0.0023275046,0.00007853088,0.0014039633,0.00015372738,0.000048765054,0.000009690503,0.00069096364,0.9273384,0.03952572,0.0005283665,0.027417645,0.00047671757],"about_ca_topic_score_codex":0.000019086312,"about_ca_topic_score_gemma":0.0011861864,"teacher_disagreement_score":0.9031031,"about_ca_system_score_codex":0.00013443263,"about_ca_system_score_gemma":0.000021155176,"threshold_uncertainty_score":0.713869},"labels":[],"label_agreement":null},{"id":"W3119870759","doi":"10.1109/comnet47917.2020.9306072","title":"Energy and Spectral Efficient Scheduling for Heterogeneous IoT Sensor Nodes","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Wireless sensor network; Efficient energy use; Internet of Things; Computer network; Energy consumption; Transmission (telecommunications); Scheduling (production processes); Spectral efficiency; Throughput; Channel (broadcasting); Real-time computing; Electronic engineering; Wireless; Telecommunications; Embedded system; Engineering; Electrical engineering","score_opus":0.011977151270856322,"score_gpt":0.20906201484258752,"score_spread":0.1970848635717312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119870759","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":[0.07069111,0.00029119497,0.92807937,0.00006696948,0.000080805105,0.000102345344,0.000004673634,0.00029727523,0.00038628845],"genre_scores_gemma":[0.8814179,0.0000111169065,0.11830673,0.00006975385,0.000115564464,0.000010994662,0.000003576957,0.000028735061,0.000035662775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995745,0.000003839672,0.00011605992,0.00012929575,0.000035523008,0.00014080519],"domain_scores_gemma":[0.99982095,0.000024792509,0.000011712335,0.000056048793,0.00001694861,0.00006956368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000016331356,0.000089223,0.0001026905,0.000019988232,0.000028982728,0.000017725355,0.000029666924,0.0000333102,0.000008668067],"category_scores_gemma":[0.000013177887,0.000088159475,0.000024266135,0.000052388084,0.000007714934,0.000017572247,0.000010135841,0.000021490401,0.0000024302283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005335348,0.0000021850715,0.000010914984,0.00004566127,0.000010795745,0.0000014003152,0.00007793436,0.9790508,0.019745626,0.00040155897,0.000017316846,0.00063046213],"study_design_scores_gemma":[0.00020757133,0.000019619398,0.0000014289423,0.000006286979,0.0000049832443,0.0000072299304,0.00004014494,0.93659085,0.06257906,0.000013054101,0.00042903682,0.00010073767],"about_ca_topic_score_codex":0.0000021516175,"about_ca_topic_score_gemma":0.000003004179,"teacher_disagreement_score":0.81072676,"about_ca_system_score_codex":0.000019478359,"about_ca_system_score_gemma":0.0000025886839,"threshold_uncertainty_score":0.3595039},"labels":[],"label_agreement":null},{"id":"W3122429393","doi":"10.1109/globecom42002.2020.9322279","title":"Auction-Driven Multiuser Beamforming with Deep Learning","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Telecommunications link; Beamforming; Channel state information; Optimization problem; Mathematical optimization; Channel (broadcasting); C-RAN; Artificial noise; Radio access network; Wireless; Computer network; Base station; Algorithm; Telecommunications; Transmitter","score_opus":0.006905504745507701,"score_gpt":0.1848935708921555,"score_spread":0.1779880661466478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122429393","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":[0.004954781,0.00002676018,0.98848677,0.0000382951,0.000055328754,0.000107063584,2.2147026e-7,0.00087244215,0.005458341],"genre_scores_gemma":[0.88339406,0.000014710838,0.11622719,0.000035965582,0.000094823605,0.000011991005,0.000006634581,0.00004179573,0.00017281984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996042,0.0000054424463,0.000103974504,0.00010381675,0.000059724483,0.00012283682],"domain_scores_gemma":[0.99982405,0.00001256727,0.00001750564,0.000057250556,0.000025672663,0.00006294515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000014192977,0.00008715345,0.000087439796,0.000027533386,0.00004611421,0.000014746252,0.00004290372,0.000031607095,0.00006878586],"category_scores_gemma":[0.000015685275,0.00007690624,0.000014191936,0.00015993419,0.0000070837264,0.00025368656,0.0000099533845,0.00011104127,0.000071517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029580744,0.0000011679343,0.00072681456,0.000024828943,0.000012796651,0.0000015024949,0.0006440534,0.99561775,0.0011847573,0.00003972965,0.000023003806,0.0017206646],"study_design_scores_gemma":[0.00021532598,0.000027432168,0.000042047424,0.000012051801,0.000005437591,0.000004729202,0.00045113228,0.9928726,0.0017128336,0.0000012466709,0.0045326343,0.0001225071],"about_ca_topic_score_codex":0.0000055810606,"about_ca_topic_score_gemma":0.000015885596,"teacher_disagreement_score":0.8784393,"about_ca_system_score_codex":0.000030360394,"about_ca_system_score_gemma":0.0000027372305,"threshold_uncertainty_score":0.31361455},"labels":[],"label_agreement":null},{"id":"W3122444839","doi":"10.1109/globecom42002.2020.9322501","title":"Joint User Association and Resource Allocation in CoMP-Enabled Heterogeneous CRAN","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Resource allocation; Quality of service; Computer network; Enhanced Data Rates for GSM Evolution; Throughput; Resource management (computing); Heterogeneous network; Distributed computing; Radio access network; Mathematical optimization; Base station; Wireless network; Wireless; Telecommunications","score_opus":0.01169403996808258,"score_gpt":0.19446956235248564,"score_spread":0.18277552238440306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122444839","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":[0.28250778,0.00032249777,0.7051673,0.0015000855,0.00012145458,0.0006738545,0.0000043457376,0.000849227,0.00885347],"genre_scores_gemma":[0.996336,0.000021440317,0.003157743,0.00017026433,0.000040849336,0.0000122956035,0.000014705357,0.000022240447,0.00022445846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994823,0.000024940595,0.00018975952,0.000115499,0.00007205141,0.00011546577],"domain_scores_gemma":[0.99981207,0.000022581567,0.000031320473,0.00006424116,0.000022653281,0.00004714649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080715516,0.0000751664,0.00011590483,0.000038610877,0.000017912165,0.000023316536,0.000029972627,0.000060208593,0.000018907236],"category_scores_gemma":[0.00005521067,0.000082161256,0.000011796111,0.00013368281,0.0000030766828,0.00011989591,0.000013408907,0.00006861733,0.000016370865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033287122,0.0000037875764,0.0017873999,0.000039463903,0.000008971339,0.0000014334792,0.00042847276,0.9909421,0.0057906555,0.00007983449,0.000600555,0.0003139718],"study_design_scores_gemma":[0.0005438569,0.000019561787,0.0012612197,0.000019519573,0.000005280742,0.0000021265384,0.000099684716,0.98719454,0.0064103715,0.000027878345,0.0042647477,0.00015121704],"about_ca_topic_score_codex":0.0000139830745,"about_ca_topic_score_gemma":0.000049952036,"teacher_disagreement_score":0.71382827,"about_ca_system_score_codex":0.00013946394,"about_ca_system_score_gemma":0.0000031151326,"threshold_uncertainty_score":0.33504388},"labels":[],"label_agreement":null},{"id":"W3123153976","doi":"10.1109/globecom42002.2020.9322568","title":"Joint PRB and Power Allocation for Slicing eMBB and URLLC Services in 5G C-RAN","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Radio access network; C-RAN; Quality of service; Computer network; Resource allocation; Mobile broadband; Transmitter power output; Cellular network; Access network; Base station; Wireless; Channel (broadcasting); Telecommunications; Mobile station","score_opus":0.009965679367304765,"score_gpt":0.20543127079545245,"score_spread":0.19546559142814768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123153976","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":[0.34092855,0.0005273387,0.6547039,0.00078262144,0.00008280965,0.00069326325,0.000003337758,0.00026931587,0.0020088532],"genre_scores_gemma":[0.9888477,0.00002845046,0.010903058,0.00012727545,0.000021956792,0.000021310712,0.0000064378305,0.000017669996,0.000026143884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964714,0.0000042457114,0.00013127386,0.000107713975,0.000026911523,0.0000827221],"domain_scores_gemma":[0.9998681,0.000017256953,0.000015298705,0.000044979628,0.000016733135,0.00003763895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004286409,0.000066667686,0.00009268378,0.000031224397,0.000016062475,0.000019737985,0.000019452873,0.000032394993,0.0000047487633],"category_scores_gemma":[0.000011709078,0.00006649606,0.000006293943,0.000066169916,0.000003925898,0.00018411098,0.000008742559,0.000030248728,0.0000012994103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029879404,0.0000136152275,0.0040628463,0.0022279478,0.000036894544,0.0000017965873,0.016243968,0.8575852,0.11096905,0.0026966839,0.00022028532,0.0059118397],"study_design_scores_gemma":[0.0005675583,0.000035311503,0.0018900895,0.00006505564,0.0000051773386,0.0000020650502,0.0012738472,0.9902325,0.005222843,0.00011443464,0.0004530376,0.00013804722],"about_ca_topic_score_codex":0.000025422365,"about_ca_topic_score_gemma":0.000117700954,"teacher_disagreement_score":0.6479191,"about_ca_system_score_codex":0.000014484159,"about_ca_system_score_gemma":0.00000195541,"threshold_uncertainty_score":0.27116308},"labels":[],"label_agreement":null},{"id":"W3124703125","doi":"10.1109/tcomm.2021.3053040","title":"Joint Resource Allocation for Linear Precoding in Downlink Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Telecommunications link; Zero-forcing precoding; MIMO; Mathematical optimization; Maximization; Optimization problem; Computer science; Resource allocation; Mathematics; Control theory (sociology); Telecommunications; Beamforming; Computer network","score_opus":0.042261741950461465,"score_gpt":0.26972668549204704,"score_spread":0.22746494354158558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124703125","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":[0.0004220758,0.0007368606,0.99482787,0.0006137491,0.00042838661,0.0007418599,0.00009516453,0.000319827,0.0018142387],"genre_scores_gemma":[0.95149434,0.0007370498,0.045797337,0.00002994122,0.000044428656,0.0010630506,0.00013797703,0.000065988446,0.000629868],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988524,0.00012304763,0.00050857634,0.000209398,0.00009513202,0.0002114618],"domain_scores_gemma":[0.99813175,0.0003340741,0.0000711853,0.0012175511,0.00018522958,0.000060217684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019062044,0.00016223505,0.00022016834,0.00021639142,0.00024007961,0.000043794415,0.00027717985,0.00013255166,0.000011086963],"category_scores_gemma":[0.000027073991,0.00020076656,0.00008765254,0.00048929447,0.000035392353,0.00021178457,0.000003454487,0.00032042683,0.000025438369],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053216368,0.00008643404,0.0000022125496,0.00008856474,0.000034359156,5.078561e-7,0.00042846476,0.9910312,0.0054189144,0.00048414426,0.00012502045,0.0022948312],"study_design_scores_gemma":[0.00055215135,0.000022275437,0.000011358824,0.00027600655,0.000033087916,0.000009099597,0.0008470424,0.97296304,0.016553866,0.000066279834,0.008435744,0.00023003848],"about_ca_topic_score_codex":0.000023266772,"about_ca_topic_score_gemma":0.0002927431,"teacher_disagreement_score":0.9510723,"about_ca_system_score_codex":0.00031701315,"about_ca_system_score_gemma":0.00005121059,"threshold_uncertainty_score":0.8187023},"labels":[],"label_agreement":null},{"id":"W3124935717","doi":"10.48550/arxiv.2101.11091","title":"Nonconvex Regularized Gradient Projection Sparse Reconstruction for Massive MIMO Channel Estimation","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Computation; Rate of convergence; Convergence (economics); Benchmark (surveying); Computer science; MIMO; Norm (philosophy); Channel (broadcasting); Mathematical optimization; Mathematics","score_opus":0.04367236233248985,"score_gpt":0.1803156759166534,"score_spread":0.13664331358416354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124935717","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":[0.08700982,0.000054567,0.90675414,0.000015839509,0.0038148244,0.0014050899,0.00004154947,0.0005284874,0.00037569652],"genre_scores_gemma":[0.9746784,0.00020533869,0.023442648,0.0000056335793,0.00019202911,0.000038718048,0.0004879854,0.00008263056,0.00086659443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849874,0.00006899277,0.00033004532,0.0007469115,0.00005500869,0.00030031765],"domain_scores_gemma":[0.9987115,0.000050257222,0.00028641042,0.00052246155,0.0003312951,0.00009804956],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000147282,0.00036564452,0.00041868168,0.0003422941,0.00013655676,0.00006956035,0.00018234484,0.00047616163,0.000016563834],"category_scores_gemma":[0.00006506955,0.00049545016,0.0002168097,0.00040146633,0.00005267146,0.00046908314,0.000112575006,0.00035108358,0.000009487695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049323775,0.000023406687,0.00003806083,0.00049734616,0.0001330291,0.00001792161,0.0002730273,0.99672914,0.00042699362,0.0009170883,0.00008086499,0.00081382255],"study_design_scores_gemma":[0.0008725113,0.000033425607,0.00003178151,0.00035706477,0.0001688138,0.000017569835,0.0005890468,0.99161875,0.0018620545,0.0039545987,0.000033055996,0.00046133075],"about_ca_topic_score_codex":0.000042997504,"about_ca_topic_score_gemma":0.00008046896,"teacher_disagreement_score":0.8876686,"about_ca_system_score_codex":0.00085176143,"about_ca_system_score_gemma":0.00009576615,"threshold_uncertainty_score":0.9997497},"labels":[],"label_agreement":null},{"id":"W3125083873","doi":"10.1109/globecom42002.2020.9322477","title":"2D Antenna Array Structures for Hybrid Massive MIMO Precoding","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; MIMO; Antenna array; Baseband; Circular buffer; Topology (electrical circuits); Beamforming; Array gain; Antenna (radio); Electronic engineering; Computer science; Zero-forcing precoding; Spectral efficiency; Bandwidth (computing); Telecommunications; Engineering; Electrical engineering","score_opus":0.01548926077549999,"score_gpt":0.22571129117958208,"score_spread":0.21022203040408208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125083873","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":[0.00094333576,0.00013745442,0.9941893,0.00019123575,0.00030525622,0.0002867088,0.00003358678,0.00049122784,0.0034218438],"genre_scores_gemma":[0.8751368,0.000017881728,0.12412787,0.00014280612,0.0002373973,0.00003057624,0.000030308382,0.000049499286,0.00022684406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994642,0.00000565823,0.00016130116,0.00015645141,0.000047295878,0.00016509647],"domain_scores_gemma":[0.9997189,0.00003732157,0.000025667476,0.000096591895,0.00005159063,0.00006990002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000017100308,0.00011321334,0.00013617004,0.000021866095,0.000034135788,0.00002340867,0.00007092073,0.00003112597,0.00006957307],"category_scores_gemma":[0.00007287429,0.00011002896,0.000042258114,0.00007271369,0.00000671379,0.00014823301,0.000009357755,0.000056020104,0.000017595064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015208276,0.0000028589707,0.000061295075,0.00029928994,0.000057479414,0.0000048101274,0.00038903597,0.78439295,0.20521414,0.0015016847,0.005945949,0.002115289],"study_design_scores_gemma":[0.0004911342,0.000030265148,0.000018763574,0.000021207163,0.000017149336,0.0000074721447,0.00024204892,0.6789296,0.31254128,0.0012440287,0.006177315,0.0002797143],"about_ca_topic_score_codex":7.570222e-7,"about_ca_topic_score_gemma":0.0000020644345,"teacher_disagreement_score":0.8741935,"about_ca_system_score_codex":0.000030111989,"about_ca_system_score_gemma":0.000007736287,"threshold_uncertainty_score":0.44868508},"labels":[],"label_agreement":null},{"id":"W3126293709","doi":"10.1109/ants50601.2020.9342751","title":"Increasing Cell Throughput and Network Capacity in a Real-world HetNet Environment","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"University of Regina","keywords":"Heterogeneous network; Computer science; Cluster analysis; Throughput; Hotspot (geology); Distributed computing; Computer network; Wireless; Wireless network; Artificial intelligence; Telecommunications","score_opus":0.021354724424264965,"score_gpt":0.19904605255918217,"score_spread":0.1776913281349172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126293709","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":[0.29786924,0.0005595625,0.6329567,0.00017004773,0.0001269137,0.0005481057,0.000005122071,0.000529854,0.06723446],"genre_scores_gemma":[0.9438134,0.00024901106,0.05565952,0.00008148746,0.0000970395,0.000008619759,0.0000045506954,0.000024673976,0.00006171419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994256,0.000028553242,0.00017365035,0.00014998227,0.00005182735,0.00017038545],"domain_scores_gemma":[0.9997825,0.000035906098,0.000019202766,0.00009077268,0.0000024654357,0.000069164525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000075743614,0.00010512145,0.00014556314,0.000021202952,0.000021316468,0.000012821881,0.00003715,0.000035727087,0.000039570496],"category_scores_gemma":[0.0000055275586,0.00011122441,0.000011291738,0.00013090641,0.000014159886,0.00012240857,0.000030242114,0.0000946782,0.000016020034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004600121,0.000003885783,0.010773205,0.00004568348,0.0000033009321,0.0000026299415,0.0003413236,0.9870401,0.0011567482,0.00019437674,0.00025311383,0.0001810256],"study_design_scores_gemma":[0.0005113197,0.000022937236,0.0037206765,0.000038671085,0.0000075043204,0.0000035940948,0.0000964806,0.9897378,0.0014295753,0.00017326577,0.003968087,0.0002900526],"about_ca_topic_score_codex":0.00023531598,"about_ca_topic_score_gemma":0.00016683129,"teacher_disagreement_score":0.6459442,"about_ca_system_score_codex":0.00007578467,"about_ca_system_score_gemma":0.0000022736156,"threshold_uncertainty_score":0.45356},"labels":[],"label_agreement":null},{"id":"W3126317177","doi":"10.1109/access.2021.3056297","title":"Low Complexity MIMO Channel Prediction for Fast Time-Variant Vehicular Communications Channels Based on Discrete Prolate Spheroidal Sequences","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Precoding; Channel state information; Channel (broadcasting); Transmitter; Computational complexity theory; Algorithm; Control theory (sociology); Telecommunications; Wireless; Artificial intelligence","score_opus":0.03657636846147239,"score_gpt":0.28185837567225397,"score_spread":0.24528200721078158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126317177","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":[0.005696863,0.00018534833,0.9901778,0.00036274953,0.0009647482,0.0010329586,0.00040108786,0.00049076934,0.00068764726],"genre_scores_gemma":[0.98894435,0.00005245224,0.009303387,0.0000906714,0.0002592683,0.00048942456,0.00063461805,0.000071917144,0.00015389832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987722,0.00010251815,0.00034804174,0.00031153817,0.00016924995,0.00029646876],"domain_scores_gemma":[0.99870783,0.00012254178,0.00009976506,0.0007711073,0.00021110679,0.00008767764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019686228,0.0002246255,0.00026148444,0.00007403785,0.00027868952,0.00017099839,0.0004953242,0.00012213307,0.000029626732],"category_scores_gemma":[0.00005540664,0.00023484004,0.000087370085,0.00033515226,0.00006939591,0.00058315473,0.000054850167,0.0002019183,0.000021391808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020349384,0.00005121119,0.00001999238,0.00019310908,0.000035021327,0.0000056923363,0.00012563862,0.9939956,0.004593956,0.00006912964,0.00025390403,0.0006364017],"study_design_scores_gemma":[0.00056278316,0.000040344934,0.00006065439,0.00021342759,0.000028208564,0.000007298915,0.000037446847,0.9718757,0.026132556,0.0004456891,0.00036682084,0.000229032],"about_ca_topic_score_codex":0.00001822934,"about_ca_topic_score_gemma":0.000047443456,"teacher_disagreement_score":0.9832475,"about_ca_system_score_codex":0.00013089922,"about_ca_system_score_gemma":0.00005032687,"threshold_uncertainty_score":0.9576499},"labels":[],"label_agreement":null},{"id":"W3126373016","doi":"10.1109/twc.2021.3055202","title":"Deep Learning for Distributed Channel Feedback and Multiuser Precoding in FDD Massive MIMO","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":170,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Huawei Technologies","keywords":"Precoding; Computer science; Telecommunications link; Channel state information; MIMO; Base station; Quantization (signal processing); Channel (broadcasting); Overhead (engineering); Control theory (sociology); Computer engineering; Algorithm; Real-time computing; Computer network; Telecommunications; Wireless; Artificial intelligence","score_opus":0.021541744729197527,"score_gpt":0.25260755537249513,"score_spread":0.2310658106432976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126373016","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":[0.0063803047,0.000434595,0.99191916,0.00024210598,0.00017628458,0.00041329642,0.000062303996,0.00024162205,0.00013030018],"genre_scores_gemma":[0.97879046,0.0017050972,0.018686142,0.000010492094,0.000011863958,0.0005059702,0.0001242641,0.000053966847,0.00011176762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911547,0.000089565,0.00031219007,0.00019996207,0.00006146492,0.00022136567],"domain_scores_gemma":[0.99876463,0.00041614746,0.000051438023,0.00057737785,0.0001264349,0.00006395775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008510434,0.00016330641,0.00020995589,0.00013598058,0.00032066842,0.00004425737,0.00019567968,0.000115588475,0.000009032277],"category_scores_gemma":[0.000020122947,0.00020598929,0.00005743976,0.000395467,0.000051272924,0.0002379384,0.0000052029422,0.0003757522,0.000005794881],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000782122,0.000074283875,0.000026971655,0.00006297177,0.000037331567,7.1624726e-7,0.0007793675,0.9833262,0.002985467,0.00009109682,0.000007220532,0.012600568],"study_design_scores_gemma":[0.0007674461,0.000015848875,0.00011928696,0.00014777211,0.000025293348,0.000005730323,0.0010219677,0.9885143,0.008777469,0.000053021144,0.00033860153,0.00021325165],"about_ca_topic_score_codex":0.000015342408,"about_ca_topic_score_gemma":0.0007517188,"teacher_disagreement_score":0.97323304,"about_ca_system_score_codex":0.0001565194,"about_ca_system_score_gemma":0.000018313796,"threshold_uncertainty_score":0.84},"labels":[],"label_agreement":null},{"id":"W3126461414","doi":"10.1109/icc42927.2021.9500543","title":"Optimizing RRH Placement Under a Noise-Limited Point-to-Point Wireless Backhaul","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Computer network; Computer science; Wireless; Beamforming; Wireless network; Wireless broadband; Telecommunications; Base station","score_opus":0.015422265076012841,"score_gpt":0.23782331055450603,"score_spread":0.22240104547849318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126461414","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":[0.00943192,0.00050469994,0.9724274,0.00028547636,0.0021752117,0.001449645,0.00003247656,0.0015948813,0.012098257],"genre_scores_gemma":[0.6315193,0.000356853,0.36320314,0.0005309709,0.00041112685,0.00062694435,0.00068042555,0.00048498003,0.0021862367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968399,0.00008141616,0.000976942,0.00098948,0.00039475402,0.0007175468],"domain_scores_gemma":[0.9978327,0.0000957844,0.00015889492,0.0012866759,0.00028685652,0.0003390929],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002715317,0.00080749544,0.0008919483,0.00040114747,0.00008712218,0.0003025234,0.00045992184,0.00055194815,0.000662422],"category_scores_gemma":[0.000045092485,0.00090349605,0.00024405618,0.00043868207,0.000024472285,0.00027083262,0.0009179892,0.0008436403,0.00017171488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014568593,0.00003942545,0.000008946711,0.0005625276,0.0002272192,0.000024725254,0.00092159375,0.9910903,0.00503452,0.00018488806,0.0014513383,0.00043994279],"study_design_scores_gemma":[0.00086538115,0.00003747874,0.000026228208,0.0014896892,0.00010338997,0.000027341708,0.0034097426,0.97704524,0.014849763,0.000089943205,0.00046307102,0.0015927069],"about_ca_topic_score_codex":0.00006846914,"about_ca_topic_score_gemma":0.00013638477,"teacher_disagreement_score":0.6220874,"about_ca_system_score_codex":0.0010768038,"about_ca_system_score_gemma":0.00011503619,"threshold_uncertainty_score":0.99934155},"labels":[],"label_agreement":null},{"id":"W3127026882","doi":"10.1109/tnse.2021.3070476","title":"Actor-Critic Learning Based QoS-Aware Scheduler for Reconfigurable Wireless Networks","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Network Science and Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ciena (Canada); Acceleware (Canada); University of Ottawa","funders":"","keywords":"Computer science; Quality of service; Control reconfiguration; Computer network; Distributed computing; Wireless; Wireless network; Flexibility (engineering); Latency (audio); Telecommunications; Embedded system","score_opus":0.011791753941475537,"score_gpt":0.21747056186987193,"score_spread":0.2056788079283964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127026882","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":[0.0061891773,0.000612328,0.9862462,0.000020274087,0.00558093,0.0005454289,0.000011792163,0.0007177009,0.000076157885],"genre_scores_gemma":[0.9851511,0.00046724867,0.01332675,0.000028257236,0.0004572585,0.00037426007,0.000022967386,0.00012725718,0.00004486609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784404,0.000021044558,0.00040272955,0.0006641557,0.00027433675,0.0007936779],"domain_scores_gemma":[0.99882376,0.00022095951,0.00006114747,0.00039552216,0.0002785304,0.00022006531],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053884764,0.00045181846,0.00046330818,0.00028351316,0.0004505442,0.00036396206,0.0002856319,0.0003437368,0.000015682112],"category_scores_gemma":[0.000021964213,0.0005421597,0.00012594367,0.0007924744,0.0000868854,0.0004254091,0.0000051049815,0.0011019659,0.000001472494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005945886,0.000010084941,0.0000025581805,0.00042121936,0.000033140543,0.0000024805752,0.000055028595,0.9938282,0.0012364539,0.000007135675,0.000038559534,0.0043592304],"study_design_scores_gemma":[0.00024249879,0.000030386751,0.000009874388,0.0011158668,0.00004909434,0.000006306638,0.00007827459,0.99434215,0.0033241287,0.0000033523913,0.0002563523,0.000541745],"about_ca_topic_score_codex":0.0000079245165,"about_ca_topic_score_gemma":0.000015542624,"teacher_disagreement_score":0.97896194,"about_ca_system_score_codex":0.00033801078,"about_ca_system_score_gemma":0.0001798561,"threshold_uncertainty_score":0.999703},"labels":[],"label_agreement":null},{"id":"W3129281488","doi":"10.1109/tvt.2022.3182899","title":"Resource Reservation in Backhaul and Radio Access Network With Uncertain User Demands","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"National Natural Science Foundation of China","keywords":"Backhaul (telecommunications); Karush–Kuhn–Tucker conditions; Computer science; Reservation; Computer network; Radio access network; Mathematical optimization; Scalability; Distributed computing; Optimization problem; Wireless; Wireless network; Base station; Algorithm; Mathematics; Telecommunications","score_opus":0.00978304660721806,"score_gpt":0.22085026443319766,"score_spread":0.2110672178259796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129281488","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12972248,0.00029813655,0.86818665,0.0005057143,0.00011029812,0.00043050415,0.000008003559,0.0005921757,0.00014605481],"genre_scores_gemma":[0.9955485,0.00005492008,0.0036924349,0.000054735534,0.000017144437,0.00043591196,0.000011905239,0.00005588643,0.00012854589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990339,0.000059255948,0.00022875564,0.0002734678,0.0001323402,0.00027226983],"domain_scores_gemma":[0.99953985,0.000042242602,0.000042195854,0.00032277626,0.000022041242,0.00003086939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016636646,0.00016029492,0.0002004635,0.00046145573,0.0002108097,0.000019689844,0.0002063561,0.00015242283,0.00002609973],"category_scores_gemma":[0.0000030486717,0.0001720222,0.000021912268,0.0014487305,0.000056639416,0.00019014438,0.0000053443546,0.0005556387,0.000001713837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040523573,0.000023618459,0.00058852386,0.000022880671,0.000028814764,0.000025011366,0.000048769787,0.9961023,0.00031512606,0.00017599127,0.00017247556,0.002455979],"study_design_scores_gemma":[0.0029264796,0.00050965627,0.0005218196,0.0001710656,0.00007364451,0.00032073705,0.00090670766,0.94346046,0.008003324,0.00087182905,0.041406766,0.00082749326],"about_ca_topic_score_codex":0.00001802724,"about_ca_topic_score_gemma":0.00020463137,"teacher_disagreement_score":0.8658261,"about_ca_system_score_codex":0.00022250018,"about_ca_system_score_gemma":0.0000149870975,"threshold_uncertainty_score":0.70148623},"labels":[],"label_agreement":null},{"id":"W3129668404","doi":"10.1109/vtc2020-fall49728.2020.9348783","title":"Dynamic Resource Management to Enhance Video Streaming Experience in a C-V2X Network","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Enabling; Computer network; Latency (audio); Protocol stack; Quality of service; Quality of experience; Resource allocation; Application layer; Scheme (mathematics); Resource management (computing); Cellular network; Radio resource management; Vehicular ad hoc network; Video streaming; Layer (electronics); Telecommunications; Wireless ad hoc network; Wireless sensor network; Wireless; Wireless network","score_opus":0.006897327345231875,"score_gpt":0.24158199174342465,"score_spread":0.23468466439819277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129668404","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":[0.02084177,0.00014699307,0.9629515,0.00012724822,0.000078528035,0.00035514333,6.3285887e-7,0.0003880477,0.015110132],"genre_scores_gemma":[0.9228537,0.00001916014,0.076372854,0.00027524686,0.000035103927,0.000090541806,0.0000030497295,0.000029950374,0.00032038763],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992154,0.000011080535,0.00021553651,0.00022678393,0.000082611616,0.00024855288],"domain_scores_gemma":[0.9997068,0.000017448267,0.000015680534,0.00016769361,0.0000072383305,0.00008513302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042323692,0.00011489552,0.00012227021,0.000041469488,0.000022003462,0.000018407784,0.0001366065,0.00002860065,0.000030873915],"category_scores_gemma":[0.000012517348,0.0001288455,0.000014841017,0.00050488784,0.000005517823,0.000119023796,0.00006216798,0.00006660368,0.00005600528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004862239,0.0000023946484,0.00008198429,0.00004133044,0.0000054795337,0.000009904644,0.0016207963,0.9903291,0.0006184518,0.00012402944,0.00043411605,0.0067275846],"study_design_scores_gemma":[0.00013738337,0.000022131982,0.0002206975,0.0001448145,0.000002930004,9.64324e-7,0.0020423776,0.9859526,0.0010409965,0.00002259747,0.010142551,0.0002699153],"about_ca_topic_score_codex":0.000006202851,"about_ca_topic_score_gemma":0.00005450744,"teacher_disagreement_score":0.90201193,"about_ca_system_score_codex":0.00010153451,"about_ca_system_score_gemma":0.0000015818761,"threshold_uncertainty_score":0.5254167},"labels":[],"label_agreement":null},{"id":"W3130002314","doi":"10.1109/ieeeconf35879.2020.9330029","title":"Experimental performances for LTE operating on 2.6 GHz in underground gold mine","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Telecommunications link; Radio signal; Signal strength; Signal-to-noise ratio (imaging); SIGNAL (programming language); Computer science; Path loss; Electronic engineering; Computer network; Radio frequency; Engineering; Telecommunications; Wireless sensor network; Wireless","score_opus":0.024210170136968072,"score_gpt":0.25467376350063164,"score_spread":0.23046359336366357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130002314","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":[0.5828473,0.00045088335,0.3906014,0.00028535133,0.0003638022,0.0008105453,0.000006214339,0.00046316974,0.02417137],"genre_scores_gemma":[0.9810344,0.0000058414594,0.01835139,0.00014710132,0.0001135195,0.00006652396,0.000011814218,0.00002639471,0.00024304586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952984,0.000004557304,0.00016612062,0.00011963464,0.00004757353,0.00013228452],"domain_scores_gemma":[0.9998579,0.000027069123,0.000012631675,0.000057327517,0.0000086670325,0.0000364068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000031137024,0.00009580882,0.00010668398,0.000030827643,0.000021513493,0.00002329005,0.00005425644,0.000030324214,0.000023767936],"category_scores_gemma":[0.000013603696,0.00009177278,0.000018095972,0.000095706004,0.000005396296,0.00023099162,0.000010193046,0.000048423266,0.000016249855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008330711,0.000010489972,0.000102179016,0.000049196715,0.0000049837868,6.463469e-7,0.00055636803,0.9626378,0.03538068,0.00052242924,0.00044935747,0.00027754108],"study_design_scores_gemma":[0.0005655089,0.00011200421,0.000018121358,0.000026803087,0.0000011264096,7.048479e-7,0.001037675,0.9346649,0.062908314,0.0000046237355,0.0005319499,0.00012826976],"about_ca_topic_score_codex":0.000006137491,"about_ca_topic_score_gemma":0.000012381441,"teacher_disagreement_score":0.3981871,"about_ca_system_score_codex":0.00006967488,"about_ca_system_score_gemma":0.0000039823826,"threshold_uncertainty_score":0.37423855},"labels":[],"label_agreement":null},{"id":"W3130518695","doi":"10.1109/ieeeconf35879.2020.9330109","title":"Combining Leak feeder cable and Antenna to support Mobile network in underground mine environment","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Non-line-of-sight propagation; Duplex (building); Antenna (radio); Base station; Engineering; User equipment; Remote radio head; Radio spectrum; Electrical engineering; Computer science; Electronic engineering; Telecommunications; Wireless; Cognitive radio","score_opus":0.012256344846177335,"score_gpt":0.2028101691033461,"score_spread":0.19055382425716877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130518695","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":[0.042191215,0.00031460897,0.95208067,0.00019118549,0.00011969413,0.0004999398,0.0000021105957,0.00019846894,0.0044021145],"genre_scores_gemma":[0.98411596,0.00006802399,0.014861494,0.00024329529,0.000056529596,0.000044943747,0.00001141891,0.00003448056,0.00056387845],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935323,0.000008537703,0.00019132282,0.00016981941,0.000059866183,0.00021720443],"domain_scores_gemma":[0.9997596,0.000022319784,0.000013861413,0.00009163967,0.000004295198,0.000108297754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055322744,0.00011119253,0.0001586523,0.000026442262,0.000024075798,0.000021094133,0.000045752506,0.000040083443,0.00014804109],"category_scores_gemma":[0.000005400894,0.0001195167,0.000010693598,0.00012969937,0.000008710296,0.00012777805,0.00004466968,0.00006753332,0.000052293864],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044671506,0.000005741884,0.002203381,0.000026600104,0.0000069443367,0.000005465177,0.0003460617,0.99415284,0.0016102928,0.00006404535,0.0012707704,0.00030338677],"study_design_scores_gemma":[0.00074373046,0.00021773999,0.00071044173,0.000038071445,0.000007623462,0.000008053113,0.0009265422,0.98628676,0.00025007848,0.00005031419,0.010422769,0.0003378654],"about_ca_topic_score_codex":0.000034578643,"about_ca_topic_score_gemma":0.000093652045,"teacher_disagreement_score":0.9419247,"about_ca_system_score_codex":0.000062507745,"about_ca_system_score_gemma":0.00000384188,"threshold_uncertainty_score":0.48737496},"labels":[],"label_agreement":null},{"id":"W3131944220","doi":"10.1109/globecom42002.2020.9348207","title":"Sub-Connected Hybrid Precoding Architectures in Massive MIMO Systems","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; MIMO; Baseband; Antenna (radio); Beamforming; Computer science; Antenna array; Zero-forcing precoding; Topology (electrical circuits); Electronic engineering; Telecommunications; Engineering; Electrical engineering; Bandwidth (computing)","score_opus":0.010611662351566154,"score_gpt":0.19936205768605142,"score_spread":0.18875039533448526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131944220","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":[0.23193775,0.00046765653,0.75965726,0.00014126059,0.0003908768,0.00061860826,0.000012862056,0.0011043657,0.005669336],"genre_scores_gemma":[0.99727774,0.000013067748,0.0024301566,0.000035718538,0.000116360396,0.000043844426,0.000013184585,0.000043533964,0.000026402453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921715,0.000030244468,0.0002775951,0.00018532806,0.00007486177,0.00021483886],"domain_scores_gemma":[0.99968415,0.0000651,0.00003083784,0.00011510276,0.000023144998,0.00008167709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042198404,0.00014437253,0.0002020361,0.000091680406,0.000018621779,0.000031096246,0.000098338416,0.00004164074,0.000023215463],"category_scores_gemma":[0.00008484299,0.00014339975,0.000026781963,0.00023297762,0.000008105833,0.00008045439,0.000019546214,0.00013828563,0.000038309547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053584645,0.0000027020096,0.00016968226,0.00014329448,0.000012470531,0.0000141025075,0.00028917813,0.98069197,0.017669626,0.00023532449,0.00025436352,0.0005119558],"study_design_scores_gemma":[0.00026164166,0.000017884853,0.00010628312,0.00006949082,0.0000039971387,0.000008708616,0.00019364197,0.96876836,0.030132525,0.000051794013,0.00017595412,0.00020974914],"about_ca_topic_score_codex":0.000021340382,"about_ca_topic_score_gemma":0.000023881837,"teacher_disagreement_score":0.76534,"about_ca_system_score_codex":0.00006943528,"about_ca_system_score_gemma":0.0000074565683,"threshold_uncertainty_score":0.5847672},"labels":[],"label_agreement":null},{"id":"W3132248536","doi":"10.1109/vtc2020-fall49728.2020.9348648","title":"Rate Enhancement for Distributed Massive MIMO Systems with Underlay Spectrum Sharing","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Underlay; Telecommunications link; MIMO; Rayleigh fading; Computer science; Computer network; Channel state information; Interference (communication); Fading; Channel (broadcasting); Selection (genetic algorithm); Multi-user MIMO; Signal-to-noise ratio (imaging); Telecommunications; Wireless","score_opus":0.015290038625737823,"score_gpt":0.2142617660591814,"score_spread":0.19897172743344357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132248536","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":[0.001115284,0.00010565214,0.99558884,0.0002927268,0.0002013235,0.0008332628,0.00004827962,0.0004946701,0.0013199463],"genre_scores_gemma":[0.9917983,0.000011836486,0.007236044,0.000040701136,0.00015192534,0.00019377338,0.00015258616,0.000056631154,0.00035823474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992019,0.000007390745,0.00022801395,0.00023656352,0.000072343624,0.00025380967],"domain_scores_gemma":[0.9996322,0.000031968673,0.00004887628,0.0001486717,0.000041664178,0.00009664064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049248472,0.00016516744,0.00020195452,0.000024066592,0.000047295092,0.000057663437,0.000104448874,0.000041669005,0.000028604314],"category_scores_gemma":[0.000014180726,0.0001421917,0.000026875436,0.00017264379,0.000008833803,0.0001592039,0.000019482877,0.000060231254,0.000024331364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002286224,0.000004637876,0.00004719817,0.00025216956,0.00006356769,0.0000028263232,0.00009961676,0.9928697,0.0033074142,0.0024673254,0.0008361373,0.000026543146],"study_design_scores_gemma":[0.000675825,0.00010597433,0.000008064627,0.000067969646,0.000019959001,0.000001654884,0.0003462017,0.9764675,0.019984204,0.000046230292,0.0020398926,0.00023653908],"about_ca_topic_score_codex":0.000006818298,"about_ca_topic_score_gemma":0.000010212083,"teacher_disagreement_score":0.99068296,"about_ca_system_score_codex":0.00013612545,"about_ca_system_score_gemma":0.000010014253,"threshold_uncertainty_score":0.5798409},"labels":[],"label_agreement":null},{"id":"W3132468645","doi":"10.1109/vtc2020-fall49728.2020.9348662","title":"Performance of Memory and File Size-Aware Caching in D2D-enabled Small Cell HetNets","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cache; Throughput; Computer network; Scheme (mathematics); CPU cache; Distributed computing; Parallel computing; Operating system; Wireless","score_opus":0.007257321238851577,"score_gpt":0.17162302652189435,"score_spread":0.16436570528304276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132468645","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":[0.9478969,0.00023809704,0.034504004,0.000026283753,0.00006503729,0.00027418326,0.000020897707,0.00022053033,0.016754085],"genre_scores_gemma":[0.99342996,0.00007100376,0.006097625,0.00002728735,0.000020450396,0.000008369961,0.00000999291,0.000023414643,0.00031187022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951875,0.00001107569,0.00019166297,0.0001123834,0.000042384716,0.00012372817],"domain_scores_gemma":[0.9997695,0.000057000223,0.000027058719,0.000083622035,0.000015842368,0.00004696776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004382878,0.00009092103,0.00015118392,0.000030165937,0.000015743542,0.0000059268496,0.000054408163,0.000043717402,0.00019484563],"category_scores_gemma":[0.000013379688,0.00009315609,0.000012110588,0.00012540337,0.0000073045435,0.00015205258,0.000015217934,0.00008966155,0.000006994759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005668869,0.000004236454,0.0010995972,0.00047734982,0.0000027158621,0.0000021145033,0.0007089347,0.99060476,0.006411283,0.0000013455198,0.00031296347,0.00036901137],"study_design_scores_gemma":[0.00038398246,0.000028787685,0.0005044217,0.000054780405,0.0000027486162,0.0000014850292,0.00023329242,0.97914976,0.01938431,0.0000010003664,0.00013683089,0.0001185815],"about_ca_topic_score_codex":0.000031393396,"about_ca_topic_score_gemma":0.00004278089,"teacher_disagreement_score":0.045533102,"about_ca_system_score_codex":0.000020937794,"about_ca_system_score_gemma":0.0000076251567,"threshold_uncertainty_score":0.3798795},"labels":[],"label_agreement":null},{"id":"W3133222151","doi":"10.1109/globecom42002.2020.9347949","title":"Energy and Spectrum Efficient User Association for Backhaul Load Balancing in Small Cell Networks","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Computer science; Base station; Efficient energy use; Software deployment; Computer network; Small cell; Spectral efficiency; Macro; Energy consumption; Maximization; Distributed computing; Engineering; Electrical engineering; Mathematical optimization; Operating system","score_opus":0.004872943423167686,"score_gpt":0.16861183520884898,"score_spread":0.1637388917856813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133222151","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":[0.01134395,0.00027483574,0.98511493,0.00010109225,0.0001612417,0.00017107096,0.0000020457567,0.00014949041,0.0026813324],"genre_scores_gemma":[0.9926755,0.000044815588,0.006565946,0.00010175346,0.0001328705,0.000020422764,0.000009505113,0.000029537585,0.00041965122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943733,0.000010018536,0.00017182821,0.00013942194,0.00004619977,0.00019517096],"domain_scores_gemma":[0.9997717,0.000069097565,0.000034417328,0.000053413063,0.000021671447,0.000049673472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009051825,0.00009163049,0.00012675535,0.000024965404,0.000017400589,0.000021231606,0.000035098114,0.00007775848,0.0000073739607],"category_scores_gemma":[0.000023261056,0.000098848985,0.000018825931,0.00013400313,0.000001936608,0.000045461762,0.000014430383,0.000050072813,0.0000019818017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043266946,0.0000040094183,0.0011949543,0.0000352584,0.0000043408877,5.0634327e-7,0.000114956056,0.997188,0.0006102556,0.00022075175,0.00042889715,0.00019377965],"study_design_scores_gemma":[0.00048158463,0.000015405187,0.00013177801,0.000012127806,0.000004447755,2.3620807e-7,0.000042983567,0.9952342,0.0023930299,0.000016388525,0.001555244,0.00011255511],"about_ca_topic_score_codex":0.000026469008,"about_ca_topic_score_gemma":0.00030383494,"teacher_disagreement_score":0.9813315,"about_ca_system_score_codex":0.0002467634,"about_ca_system_score_gemma":0.000007349838,"threshold_uncertainty_score":0.40309447},"labels":[],"label_agreement":null},{"id":"W3133256763","doi":"10.1109/globecom42002.2020.9348193","title":"Throughput Maximization via Joint Optimization of Fronthaul and Access Links in C- RANs","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Orthogonal frequency-division multiple access; Computer network; Optimization problem; Throughput; Telecommunications link; Radio access network; Access network; Convex optimization; C-RAN; Resource allocation; Bandwidth (computing); Interference (communication); Orthogonal frequency-division multiplexing; Wireless; Telecommunications; Algorithm; Regular polygon; Base station; Mathematics","score_opus":0.021274886369103123,"score_gpt":0.22922373508910848,"score_spread":0.20794884872000535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133256763","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":[0.0012371684,0.00019962035,0.99555564,0.00015361105,0.000089132394,0.00030123047,0.000005102902,0.00017715686,0.0022813664],"genre_scores_gemma":[0.9006721,0.00027489237,0.09880052,0.000085822736,0.000044707776,0.000014201891,0.000055444543,0.00003816936,0.000014191154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930775,0.000018444805,0.0003404023,0.0001516832,0.0000741171,0.00010762534],"domain_scores_gemma":[0.9997476,0.00001662257,0.000052193784,0.00009563149,0.000041771935,0.00004617897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050184626,0.000112253416,0.00020525177,0.00007505771,0.000013630485,0.000020015432,0.000070336835,0.00012613097,0.000067096735],"category_scores_gemma":[0.00003913728,0.000116044444,0.000015841606,0.00032196342,0.000015520844,0.0005186166,0.000031751173,0.00010679895,0.0000023309578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007022161,0.0000061857963,0.0006673178,0.0001311072,0.0000070277374,7.461596e-7,0.00045928746,0.9968491,0.00096404547,0.000060118728,0.000101107806,0.0007469011],"study_design_scores_gemma":[0.0005166291,0.000017111835,0.00031843383,0.000029928184,0.0000063274033,0.0000011237446,0.00006203005,0.9951936,0.0036574216,0.00003980205,0.00004264912,0.00011493544],"about_ca_topic_score_codex":0.000035614674,"about_ca_topic_score_gemma":0.00003168064,"teacher_disagreement_score":0.89943486,"about_ca_system_score_codex":0.000031789892,"about_ca_system_score_gemma":0.0000069208345,"threshold_uncertainty_score":0.47321552},"labels":[],"label_agreement":null},{"id":"W3133539572","doi":"10.1109/access.2021.3062655","title":"A Fast Heuristic for Gateway Location in Wireless Backhaul of 5G Ultra-Dense Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Wireless network; Gaussian; Cluster analysis; Wireless; Heuristic; Base station; Telecommunications","score_opus":0.014211246942549516,"score_gpt":0.2615437173094878,"score_spread":0.24733247036693826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133539572","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":[0.08474816,0.00031571576,0.91353506,0.000008456947,0.00063592533,0.00028496364,0.000010237841,0.00007516949,0.00038633824],"genre_scores_gemma":[0.99865144,0.00007950398,0.00090326346,0.000010392337,0.000116668634,0.000084254025,0.00004448968,0.000042363044,0.00006762584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992238,0.000023335053,0.00032894686,0.00016702982,0.00007001782,0.00018683176],"domain_scores_gemma":[0.9993914,0.00011199072,0.0000670357,0.00021261083,0.00018288966,0.000034095225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008384714,0.00011411073,0.00020815709,0.000070074966,0.00001967334,0.000032165583,0.000140933,0.00008618667,0.000008202419],"category_scores_gemma":[0.000048484417,0.00013285458,0.00003045926,0.00046266877,0.000015238578,0.000275002,0.0000069769962,0.00008082528,0.0000026182577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010720469,0.000019515906,0.0005291729,0.00031604274,0.000011705046,0.0000051748752,0.00010577263,0.9900502,0.0065614986,0.000064939144,0.00015673069,0.0021685336],"study_design_scores_gemma":[0.0007423988,0.000018156381,0.0008216575,0.00032890044,0.0000171399,0.000009589191,0.00008808197,0.8879548,0.10956916,0.00015793322,0.00005729963,0.00023491346],"about_ca_topic_score_codex":0.000019851448,"about_ca_topic_score_gemma":0.00022449183,"teacher_disagreement_score":0.9139033,"about_ca_system_score_codex":0.00007102551,"about_ca_system_score_gemma":0.000024733863,"threshold_uncertainty_score":0.5417652},"labels":[],"label_agreement":null},{"id":"W3133578474","doi":"10.1109/gcwkshps50303.2020.9367510","title":"Secrecy Performance in Ultra-Dense Networks with Multiple Associations","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Secrecy; Computer science; Backhaul (telecommunications); Stochastic geometry; Physical layer; Computer network; Distributed computing; Computer security; Telecommunications; Mathematics; Wireless","score_opus":0.008456563309912762,"score_gpt":0.18417927649366134,"score_spread":0.17572271318374857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133578474","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":[0.052308597,0.000050835868,0.94009274,0.00005637396,0.000060199935,0.0001985641,0.0000032502808,0.0004092965,0.0068201274],"genre_scores_gemma":[0.99250877,0.000030069432,0.0071986043,0.00006810046,0.00005976982,0.000019500416,0.000021588086,0.00002610851,0.00006751316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955386,0.000008662408,0.00013970397,0.00009518065,0.00005414114,0.00014842628],"domain_scores_gemma":[0.9997987,0.000039444894,0.000019615585,0.00007051475,0.000022791437,0.00004890991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003386491,0.00008242922,0.00010379602,0.000025169435,0.000023808227,0.000012133301,0.000047459846,0.000045713594,0.00001924849],"category_scores_gemma":[0.000026497104,0.00007696931,0.000010722395,0.00028716732,0.000005314051,0.00019186978,0.000003979856,0.00011287197,0.000019537663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003707167,0.0000032265184,0.05953251,0.000012545671,0.0000062671143,0.000001079567,0.0002590897,0.93969625,0.00013186701,0.000038508115,0.000059022674,0.00025589936],"study_design_scores_gemma":[0.00036903017,0.000018702507,0.009800513,0.000015276504,0.0000025837132,0.0000010406736,0.00007531696,0.98896456,0.0005075786,0.0000016848389,0.00013108045,0.00011262994],"about_ca_topic_score_codex":0.000008408218,"about_ca_topic_score_gemma":0.00013132588,"teacher_disagreement_score":0.94020015,"about_ca_system_score_codex":0.00006229041,"about_ca_system_score_gemma":0.0000059099207,"threshold_uncertainty_score":0.3138717},"labels":[],"label_agreement":null},{"id":"W3133758211","doi":"10.23919/icact51234.2021.9370756","title":"Massive MIMO in Fixed-Point Arithmetic","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"MIMO; Transceiver; Computer science; Converters; Decoding methods; Eigenvalues and eigenvectors; Base station; Floating point; Fixed point; Bit error rate; Algorithm; Arithmetic; Point (geometry); Fixed-point arithmetic; Mathematics; Telecommunications; Wireless; Engineering; Electrical engineering","score_opus":0.006308260571431278,"score_gpt":0.2074050572168988,"score_spread":0.20109679664546753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133758211","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":[0.0058285412,0.00044332945,0.93761694,0.0001337335,0.000355762,0.000120104574,0.0000023342711,0.0002808734,0.055218354],"genre_scores_gemma":[0.944809,0.0000468854,0.053136304,0.000046564754,0.00003816208,0.000022116721,0.000011573367,0.000027319475,0.0018620268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956673,0.000011719,0.00014645046,0.00010374892,0.000044182816,0.00012716027],"domain_scores_gemma":[0.99976844,0.000025452315,0.000008976331,0.00013843004,0.00003060038,0.000028116117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003228509,0.00006936846,0.000099285106,0.00005065953,0.000008524321,0.00001239163,0.00003488561,0.00004145715,0.00021765713],"category_scores_gemma":[0.000038920713,0.00007363845,0.000018396808,0.00021257697,0.0000051839534,0.00010099226,0.00001533946,0.00006916653,0.00008037419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.372403e-7,0.000010036829,0.00029820265,0.000040338287,0.000007171129,0.000058168782,0.00014333239,0.9913651,0.004730655,0.0012783263,0.00060741097,0.0014606459],"study_design_scores_gemma":[0.0008617354,0.0000147409355,0.0009861313,0.00012622555,0.000008375615,0.000040830815,0.0011085138,0.9037807,0.08796265,0.0013781188,0.0032878804,0.0004441155],"about_ca_topic_score_codex":0.00000816627,"about_ca_topic_score_gemma":0.000099519624,"teacher_disagreement_score":0.9389805,"about_ca_system_score_codex":0.00007393367,"about_ca_system_score_gemma":0.000010258217,"threshold_uncertainty_score":0.3002889},"labels":[],"label_agreement":null},{"id":"W3133759829","doi":"10.1109/tsp.2021.3090679","title":"Sparse Activity Detection in Multi-Cell Massive MIMO Exploiting Channel Large-Scale Fading","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Fading; Computer science; Covariance; Base station; Algorithm; Channel (broadcasting); Covariance matrix; Quantization (signal processing); Multiuser detection; Mathematics; Telecommunications; Statistics; Code division multiple access","score_opus":0.02426084269122415,"score_gpt":0.24350145096888415,"score_spread":0.21924060827766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133759829","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":[0.051709794,0.00020138604,0.94685346,0.000011377538,0.0003294654,0.00020785183,0.000013252848,0.00038563123,0.00028776977],"genre_scores_gemma":[0.99168915,0.000026408243,0.007876004,0.000015917643,0.00005887847,0.00010396071,0.0000032001371,0.0000874729,0.00013902226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986045,0.000066721936,0.00033076387,0.00039267965,0.00017303761,0.0004323483],"domain_scores_gemma":[0.9995033,0.00006111675,0.00008661079,0.00014729524,0.000113042865,0.000088631496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015158142,0.00026018362,0.0002633259,0.00026783292,0.000282798,0.00008060373,0.00007531698,0.00016729275,0.000028948725],"category_scores_gemma":[0.000005075737,0.00032282027,0.00008346368,0.00071662554,0.00001851726,0.0008531798,0.000001332546,0.0005147007,0.00001978293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015567777,0.00013201086,0.0000038760954,0.0001870615,0.0000076272586,0.000018515726,0.0011840727,0.76299393,0.2027572,9.0824656e-8,5.927666e-7,0.03269944],"study_design_scores_gemma":[0.0005435619,0.000011758222,0.000007311485,0.00018817127,0.000011918507,0.00000951305,0.0013028361,0.5415708,0.45615953,0.00000478615,0.0000074592936,0.00018239625],"about_ca_topic_score_codex":0.000009443773,"about_ca_topic_score_gemma":0.00026787704,"teacher_disagreement_score":0.9399793,"about_ca_system_score_codex":0.00032743168,"about_ca_system_score_gemma":0.00004707069,"threshold_uncertainty_score":0.9999224},"labels":[],"label_agreement":null},{"id":"W3134370868","doi":"10.1109/tccn.2021.3063132","title":"Hybrid Radio Resource Management for Time-Varying 5G Heterogeneous Wireless Access Network","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Computer network; Radio resource management; Resource allocation; Throughput; Lyapunov optimization; Wireless network; Network congestion; Power control; Resource management (computing); Overhead (engineering); UMTS Terrestrial Radio Access Network; Utility maximization problem; Heterogeneous network; Wireless; Radio access network; Network packet; Distributed computing; Base station; Utility maximization; Power (physics); Telecommunications","score_opus":0.02784054496006096,"score_gpt":0.26663289205792984,"score_spread":0.23879234709786887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134370868","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":[0.00070649805,0.004450036,0.9874865,0.000060674778,0.00028638908,0.0006440487,0.000054890126,0.00029827526,0.006012685],"genre_scores_gemma":[0.9825029,0.00814966,0.007952566,0.0001560911,0.00016287326,0.00050560327,0.00015943898,0.00009198725,0.0003188768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882704,0.00012079584,0.00033339966,0.00029335686,0.000090694724,0.00033470368],"domain_scores_gemma":[0.9985272,0.0006112283,0.000070936454,0.00058888784,0.000119169505,0.00008253377],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015955402,0.00022410495,0.00024856383,0.000094309486,0.0006593667,0.00013993417,0.00028742882,0.00006693245,0.0000133844605],"category_scores_gemma":[0.0000016525134,0.00027843978,0.00009574125,0.00033795266,0.00007038596,0.00019396223,0.000014456442,0.00024661614,0.0000061490377],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033552988,0.000056113608,0.000005323432,0.00008797301,0.0002718099,0.000007296267,0.00008490236,0.7119515,0.000085470056,0.000041739666,0.00027805992,0.28709626],"study_design_scores_gemma":[0.0010448684,0.000041701926,0.0000034451602,0.0010845058,0.00025293155,0.00007399349,0.00012806628,0.97277176,0.003711286,0.00022273722,0.020186083,0.00047859643],"about_ca_topic_score_codex":0.000001553224,"about_ca_topic_score_gemma":0.000017348684,"teacher_disagreement_score":0.9817964,"about_ca_system_score_codex":0.00008189016,"about_ca_system_score_gemma":0.000011994493,"threshold_uncertainty_score":0.9999668},"labels":[],"label_agreement":null},{"id":"W3134847275","doi":"10.1109/mvt.2021.3057355","title":"Intracell Frequency Band Exiling for Green Wireless Networks: Implementation, Performance Metrics, and Use Cases","year":2021,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Spectral efficiency; Base station; Computer science; Efficient energy use; Wireless; Energy consumption; Frequency band; Wireless network; Electronic engineering; Zoom; Radio spectrum; Real-time computing; Computer network; Telecommunications; Engineering; Electrical engineering; Bandwidth (computing)","score_opus":0.012505361122833094,"score_gpt":0.24056915847804142,"score_spread":0.22806379735520832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134847275","genre_codex":"empirical","genre_gemma":"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":[0.6587754,0.0034256661,0.33666614,0.00007795153,0.00026056555,0.0003327873,0.000022285587,0.00042633872,0.000012894536],"genre_scores_gemma":[0.97637475,0.001727964,0.021427575,0.000020992302,0.00008775811,0.00011952772,0.000086034226,0.00006008584,0.00009534151],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998938,0.00001546675,0.00034936485,0.0003000089,0.00007412667,0.00032299038],"domain_scores_gemma":[0.99922746,0.00011542223,0.00007228827,0.0002959189,0.00024303742,0.00004584815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117187,0.00019935412,0.0002581416,0.00030817636,0.00010914281,0.000034758457,0.00010061286,0.00022967914,0.00001025271],"category_scores_gemma":[0.00008684941,0.00022336167,0.000032995635,0.0008380232,0.000064654865,0.00034032253,0.000024925712,0.00018078052,0.000005481922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002059016,0.000066477034,0.06712891,0.00088395196,0.00030704302,0.00032842436,0.00013546433,0.6190252,0.22909003,0.0010598291,0.0010892105,0.08086491],"study_design_scores_gemma":[0.0019809536,0.00017446952,0.0011820573,0.00017559412,0.00013229597,0.0006237462,0.00025646074,0.679194,0.31060204,0.00037027043,0.0045231013,0.0007850256],"about_ca_topic_score_codex":0.000009793487,"about_ca_topic_score_gemma":0.00013881909,"teacher_disagreement_score":0.31759933,"about_ca_system_score_codex":0.000077355144,"about_ca_system_score_gemma":0.000019302866,"threshold_uncertainty_score":0.9108425},"labels":[],"label_agreement":null},{"id":"W3135666418","doi":"10.22215/etd/2020-14129","title":"Big Data-Driven AI-based Wireless Network Personalization","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Personalization; Wireless network; Quality of service; Multi-frequency network; Big data; Wireless WAN; Distributed computing; Computer network; Wireless; Key distribution in wireless sensor networks; World Wide Web; Data mining; Telecommunications","score_opus":0.025623696562737757,"score_gpt":0.2515252964982067,"score_spread":0.22590159993546896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135666418","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":[0.0001051259,0.00048491717,0.98254645,0.000035043304,0.002991252,0.0004858935,0.000077989025,0.0011103875,0.012162941],"genre_scores_gemma":[0.6333888,0.0005540685,0.045082364,0.0007490295,0.0069871987,0.0002875043,0.30148464,0.0011614872,0.010304856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986464,0.000030158966,0.00039337092,0.00044734447,0.00022394964,0.00025880858],"domain_scores_gemma":[0.9990928,0.000035753765,0.0001146981,0.00054648984,0.00011649042,0.00009376482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000055239027,0.00035116987,0.0003752696,0.00008903574,0.00007238941,0.00006803823,0.00039576087,0.00032299449,0.000104000894],"category_scores_gemma":[0.000024442787,0.00039163028,0.00005564505,0.00043247375,0.000008237679,0.00021646461,0.000020932608,0.00027277003,0.00009824223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015858875,0.000006230584,0.000041839143,0.00077254494,0.000061088474,0.0000043880164,0.00015240916,0.97624993,0.00022990254,0.00031539737,0.01771064,0.004439769],"study_design_scores_gemma":[0.00022426111,0.000011677916,0.000021549049,0.00025490648,0.00006711814,5.787788e-7,0.00013124465,0.9869454,0.00031753487,0.000019948853,0.011591328,0.00041444835],"about_ca_topic_score_codex":0.000013639942,"about_ca_topic_score_gemma":0.0004329518,"teacher_disagreement_score":0.93746406,"about_ca_system_score_codex":0.00010582386,"about_ca_system_score_gemma":0.00009392134,"threshold_uncertainty_score":0.99985355},"labels":[],"label_agreement":null},{"id":"W3143629415","doi":"10.1109/tcomm.2021.3068958","title":"Popularity and Size-Aware Caching With Cooperative Transmission in Hybrid Microwave/ Millimeter Wave Heterogeneous Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Cache; Computer network; Heterogeneous network; Transmission (telecommunications); Base station; Wireless network; Algorithm; Wireless; Telecommunications","score_opus":0.016208010567981726,"score_gpt":0.2294756949494414,"score_spread":0.21326768438145965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143629415","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":[0.012211046,0.0012959504,0.98547727,0.00017260824,0.000092071416,0.00029969963,0.000040066177,0.0001535306,0.00025776014],"genre_scores_gemma":[0.9761531,0.0017877594,0.021738572,0.00005454697,0.000009035228,0.00009139001,0.000043893575,0.00005232435,0.00006940077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990211,0.00017289545,0.00029501345,0.0002278157,0.00007797488,0.00020519094],"domain_scores_gemma":[0.9987923,0.00023029788,0.000031340285,0.0007701856,0.0000908991,0.00008499612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076383425,0.00020267341,0.00022619696,0.00007068246,0.00030106772,0.00005012298,0.0001510077,0.00008724224,0.000022953624],"category_scores_gemma":[0.0000037499315,0.00020917381,0.000046591285,0.00031388184,0.00006697695,0.00019952987,0.0000037480415,0.00051577983,0.00000223846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014888744,0.00009035013,0.000018557908,0.000021320795,0.000053306667,0.0000150671185,0.00030756605,0.99017966,0.0029079288,0.000009589527,0.0000047813746,0.0063769678],"study_design_scores_gemma":[0.0007883125,0.00005508798,0.00007901228,0.0002592696,0.00006047442,0.00024109114,0.00024348196,0.96338046,0.0342616,0.000036222034,0.00023656513,0.00035840896],"about_ca_topic_score_codex":0.000077017685,"about_ca_topic_score_gemma":0.0017646989,"teacher_disagreement_score":0.96394205,"about_ca_system_score_codex":0.00016879667,"about_ca_system_score_gemma":0.000028723942,"threshold_uncertainty_score":0.85298604},"labels":[],"label_agreement":null},{"id":"W3146771119","doi":"10.1109/iccspa49915.2021.9385729","title":"Traffic Adaptive Transmission Schemes for the Internet of Things","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Computer network; Quality of service; Telecommunications link; Throughput; Efficient energy use; Scalability; Transmission (telecommunications); Internet of Things; Spectral efficiency; Wireless network; Wireless; MIMO; Distributed computing; Telecommunications; Channel (broadcasting); Engineering","score_opus":0.012521737172794768,"score_gpt":0.22166201955885378,"score_spread":0.20914028238605903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3146771119","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":[0.001086169,0.0009911895,0.9958962,0.00004460827,0.00008915747,0.00014258455,0.0000011250687,0.00009559881,0.0016533583],"genre_scores_gemma":[0.89331484,0.00005360092,0.10547322,0.000016440836,0.000016433676,0.000019182844,0.0000048344846,0.000016960446,0.0010844931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970645,0.0000052368105,0.00011932451,0.00006409977,0.000039286635,0.000065576714],"domain_scores_gemma":[0.99975103,0.00008610412,0.000014401564,0.000081149024,0.00005381149,0.000013498034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004293415,0.000053569936,0.000078289755,0.000013180062,0.0000128988695,0.000005373194,0.00005221496,0.000030509786,0.00006353301],"category_scores_gemma":[0.000012824116,0.00003703271,0.00004045246,0.00006868168,0.000009084946,0.00009591666,0.0000049426058,0.000036970614,0.0000014081702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016483116,0.000013448398,0.0000024485305,0.00013128584,0.00006733176,6.0502686e-7,0.0020130544,0.88505155,0.013119814,0.0041583804,0.0012395917,0.094186015],"study_design_scores_gemma":[0.00016211794,0.000012411928,0.0000019345525,0.000039790928,0.000009549201,0.0000017744964,0.00047578846,0.88935083,0.103409626,0.000042579995,0.006447294,0.000046318753],"about_ca_topic_score_codex":0.0000017486149,"about_ca_topic_score_gemma":0.0000016829151,"teacher_disagreement_score":0.89222866,"about_ca_system_score_codex":0.000013190953,"about_ca_system_score_gemma":0.000007499272,"threshold_uncertainty_score":0.15101501},"labels":[],"label_agreement":null},{"id":"W3148798908","doi":"10.18280/ts.380112","title":"Investigation of Ideal Number User Terminals with Spectrum Efficiency in Next Generation Wireless Communication Systems","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Spectral efficiency; Base station; MIMO; Computer science; Ideal (ethics); Interference (communication); Wireless; Multi-user MIMO; Reuse; Electronic engineering; Computer network; Mathematics; Telecommunications; Engineering; Channel (broadcasting)","score_opus":0.025153119096175635,"score_gpt":0.2268375990902832,"score_spread":0.20168447999410757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148798908","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":[0.8113282,0.00023561816,0.18755859,0.00003532134,0.000076976525,0.0003282707,0.0000057623033,0.00006584995,0.00036542764],"genre_scores_gemma":[0.9960996,0.00005091765,0.0035022108,0.000011303334,0.00006397527,0.00006915687,0.00013764469,0.000028011678,0.0000371977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889094,0.00010962596,0.00047721138,0.00016198527,0.00020124718,0.00015901367],"domain_scores_gemma":[0.9994848,0.000038815237,0.00011780702,0.00022352181,0.000095010604,0.000040095936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022155022,0.00013701613,0.00020422846,0.00008197748,0.000041362317,0.00004783266,0.0000957704,0.000060603852,0.0000505526],"category_scores_gemma":[0.000005270308,0.0001401234,0.00002156343,0.0003669006,0.00003420141,0.00038002885,0.000014725125,0.00009338876,0.0000065201352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008689499,0.000027143573,0.009655617,0.00014508021,0.000019012972,0.000005705957,0.0008633036,0.8696981,0.11735581,0.0019228423,0.00007261744,0.00022609372],"study_design_scores_gemma":[0.00089194207,0.000044590004,0.0034056758,0.00037076185,0.000021996926,0.000028995177,0.0004905106,0.9130939,0.08131515,0.000042316286,0.000054199412,0.00023996046],"about_ca_topic_score_codex":0.000064672,"about_ca_topic_score_gemma":0.00017325791,"teacher_disagreement_score":0.1847714,"about_ca_system_score_codex":0.00013789651,"about_ca_system_score_gemma":0.00004267401,"threshold_uncertainty_score":0.57140666},"labels":[],"label_agreement":null},{"id":"W314889139","doi":"10.1007/978-3-319-06337-9_5","title":"Block-Diagonalization Precoding in Multiuser Multicell MIMO Systems","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","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":"McGill University","funders":"","keywords":"Precoding; Block (permutation group theory); MIMO; Computer science; Zero-forcing precoding; Mathematics; Telecommunications; Beamforming; Combinatorics","score_opus":0.012876563319205626,"score_gpt":0.21604754258221137,"score_spread":0.20317097926300576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W314889139","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":[0.0007922596,0.00061868987,0.9684317,0.000006319752,0.003955953,0.0009098115,0.000005077187,0.0003905428,0.024889648],"genre_scores_gemma":[0.8881888,0.00048088838,0.09526935,0.000078577665,0.001412881,0.00012453969,0.000027526552,0.00040217137,0.014015257],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99724,0.000025622116,0.0008602835,0.00084299804,0.00046790563,0.0005631855],"domain_scores_gemma":[0.99869925,0.00013494857,0.00020884366,0.0006788128,0.0001499488,0.00012817742],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008354862,0.00047052978,0.00055473874,0.0009957601,0.0000776771,0.00019773589,0.00073176366,0.00029612661,0.000011921719],"category_scores_gemma":[0.000044523014,0.00055662106,0.00005994405,0.00036088726,0.00017287178,0.00042311967,0.00023404401,0.0004616697,0.00007115782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019268014,0.0000068306817,0.000158729,0.00029030218,0.0000054256934,0.000014637116,0.00023665858,0.98821104,0.00018614897,0.006699963,0.00001865729,0.00416971],"study_design_scores_gemma":[0.00036406066,0.000016120737,0.00010464607,0.0014392803,0.0000055486876,0.000009109036,0.0000019369286,0.9912064,0.00021511505,0.00010598712,0.005955368,0.00057639997],"about_ca_topic_score_codex":0.00004475006,"about_ca_topic_score_gemma":0.00010898111,"teacher_disagreement_score":0.8873966,"about_ca_system_score_codex":0.00078103226,"about_ca_system_score_gemma":0.00007533029,"threshold_uncertainty_score":0.9996885},"labels":[],"label_agreement":null},{"id":"W3148925442","doi":"10.1109/twc.2021.3069141","title":"Limiting Doppler Shift Effect on Cell-Free Massive MIMO Systems: A Stochastic Geometry Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Doppler effect; MIMO; Computer science; Limiting; Frame (networking); Stochastic geometry; Mathematical optimization; Control theory (sociology); Algorithm; Topology (electrical circuits); Mathematics; Channel (broadcasting); Telecommunications; Physics; Statistics; Engineering","score_opus":0.01622198690602803,"score_gpt":0.23281606613178124,"score_spread":0.21659407922575322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148925442","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":[0.0063919546,0.0007811138,0.98558253,0.00015011629,0.000656626,0.00079819106,0.00019503382,0.00079866254,0.004645743],"genre_scores_gemma":[0.990044,0.0001956697,0.008147793,0.00003128795,0.00005429116,0.0010209673,0.00010335357,0.00014482076,0.00025779285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979886,0.00034750832,0.0005581803,0.0004045091,0.00029038326,0.00041085383],"domain_scores_gemma":[0.9952319,0.0011122333,0.00012429919,0.0032263808,0.0001514092,0.00015374545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021132856,0.0003957005,0.00045520547,0.00036795784,0.00058905,0.00012406817,0.00090441946,0.0002302099,0.000020168816],"category_scores_gemma":[0.000029208248,0.0004427227,0.00017971658,0.000979711,0.00009570605,0.00025292262,0.00001528342,0.0008780282,0.00010888748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001296446,0.00026753964,0.0000028942618,0.00024132566,0.00010927754,0.0000031633247,0.00036514585,0.9945471,0.002121525,0.00075697165,0.000115990115,0.0014560662],"study_design_scores_gemma":[0.0015160309,0.00014308997,0.000022586433,0.00054416765,0.00018376386,0.00004574337,0.0008794969,0.9812158,0.014542714,0.000034362023,0.00016429467,0.0007079851],"about_ca_topic_score_codex":0.000027135995,"about_ca_topic_score_gemma":0.000042779848,"teacher_disagreement_score":0.98365206,"about_ca_system_score_codex":0.0003583871,"about_ca_system_score_gemma":0.000057303547,"threshold_uncertainty_score":0.9998025},"labels":[],"label_agreement":null},{"id":"W3153816843","doi":"10.1109/tcomm.2021.3104225","title":"Multi-Point Coordination in Massive MIMO Systems With Sectorized Antennas","year":2021,"lang":"en","type":"preprint","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"New York University; National Science Foundation","keywords":"Precoding; MIMO; Computer science; Telecommunications link; Throughput; Transmitter power output; Base station; Power control; Computer network; Cellular network; Channel (broadcasting); Power (physics); Transmitter; Telecommunications; Wireless; Physics","score_opus":0.028411254150382773,"score_gpt":0.2605340669703282,"score_spread":0.23212281281994546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153816843","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":[0.0013873489,0.0014055091,0.99279237,0.00028280963,0.0013460763,0.0015125688,0.00016783526,0.0006461097,0.00045939078],"genre_scores_gemma":[0.94675285,0.001227016,0.04935593,0.000010685696,0.00002843357,0.0018786875,0.00025665155,0.00014164756,0.00034807977],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980732,0.00030596237,0.0007317245,0.00038647396,0.00019756528,0.00030505314],"domain_scores_gemma":[0.9964509,0.00024403473,0.00019567569,0.0026431773,0.00036798458,0.000098210534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019955712,0.0004540174,0.0005838388,0.00055606104,0.00021208612,0.00016737967,0.00073773816,0.00040754338,0.000019774548],"category_scores_gemma":[0.000012791812,0.0005026514,0.0001326904,0.0006900488,0.000095671414,0.0003086738,0.00001725735,0.0015052547,0.000018333258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000140234615,0.0002433337,0.000011897487,0.00026837454,0.00015386139,0.0000051575557,0.0013277334,0.99515057,0.0024160824,0.000024238605,0.000031141808,0.00035358057],"study_design_scores_gemma":[0.0011499984,0.00003234723,0.00005316226,0.0016289493,0.00009374762,0.000017427454,0.0020386628,0.99289507,0.0013780864,0.0000118585895,0.0001391652,0.0005615022],"about_ca_topic_score_codex":0.0004326184,"about_ca_topic_score_gemma":0.0033775773,"teacher_disagreement_score":0.9453655,"about_ca_system_score_codex":0.0009329037,"about_ca_system_score_gemma":0.00014210764,"threshold_uncertainty_score":0.9997425},"labels":[],"label_agreement":null},{"id":"W3155775693","doi":"","title":"Two-Tier Networks: Beamforming at Secondary Node, applied to LTE","year":2018,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Beamforming; Base station; Cellular network; Antenna (radio); Computer network; Computer science; Node (physics); Smart antenna; Engineering; Antenna array; Electronic engineering; Real-time computing; Telecommunications; Directional antenna","score_opus":0.005099983938354599,"score_gpt":0.20818215840233278,"score_spread":0.2030821744639782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3155775693","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":[0.039069436,0.0017165501,0.25308245,0.000015188899,0.002067408,0.0009948458,0.00005314452,0.000576942,0.70242405],"genre_scores_gemma":[0.7718453,0.00068567763,0.124631785,0.000037519087,0.00066072,0.000007415839,0.0021695127,0.00032363535,0.09963844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899536,0.0000119339065,0.00016032552,0.00033187214,0.00017497121,0.000325559],"domain_scores_gemma":[0.9991438,0.000020008729,0.0001733963,0.00039968966,0.00011832423,0.0001447777],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007952909,0.00031132734,0.00045773934,0.000087500404,0.00017767017,0.000011330475,0.0003163309,0.0003004211,0.00555196],"category_scores_gemma":[0.000004840733,0.00045558377,0.000106934116,0.000103102706,0.000026808988,0.00037657676,0.000077109886,0.00016609172,0.00009698346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055192196,0.000034290893,0.000038716506,0.0010671127,0.00047911404,0.000014770963,0.043865398,0.8558465,0.0061156405,0.00028564135,0.012985339,0.07871554],"study_design_scores_gemma":[0.012360957,0.000771695,0.024139611,0.004172896,0.0020157765,0.000027274422,0.24067391,0.5251422,0.008146402,0.00007579565,0.17171592,0.01075755],"about_ca_topic_score_codex":0.004732812,"about_ca_topic_score_gemma":0.08737529,"teacher_disagreement_score":0.73277587,"about_ca_system_score_codex":0.000953658,"about_ca_system_score_gemma":0.000036595204,"threshold_uncertainty_score":0.9997896},"labels":[],"label_agreement":null},{"id":"W3158496405","doi":"10.1109/tvt.2021.3076691","title":"Constrained Tensor Decomposition-Based Hybrid Beamforming for Mmwave Massive MIMO-OFDM Communication Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Baseband; Orthogonal frequency-division multiplexing; Beamforming; Precoding; MIMO; Electronic engineering; Subcarrier; Computer science; Orthogonality; MIMO-OFDM; Spectral efficiency; Interference (communication); Singular value decomposition; Channel (broadcasting); Algorithm; Engineering; Mathematics; Telecommunications; Bandwidth (computing)","score_opus":0.00835720398083677,"score_gpt":0.23312235689268485,"score_spread":0.22476515291184807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158496405","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008921331,0.0004983827,0.9871487,0.00054580206,0.0005095814,0.0008647928,0.00017763539,0.0012266857,0.00010710534],"genre_scores_gemma":[0.9131201,0.00006663379,0.08566491,0.00005359653,0.000021718794,0.00079912174,0.000131437,0.000077624114,0.00006488846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987145,0.00005033477,0.00046029364,0.0003213093,0.00011829685,0.00033525508],"domain_scores_gemma":[0.9986103,0.00019234853,0.000100265555,0.0006904033,0.00034485583,0.00006180549],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000102409664,0.0002598844,0.00035402135,0.00042830003,0.0002964579,0.00004060381,0.00020165127,0.00030464423,0.000016925183],"category_scores_gemma":[0.000020835832,0.0003071703,0.00014266535,0.00048096568,0.00011965498,0.00014562199,0.0000016550377,0.0003531597,0.000020806754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013287166,0.000064029715,0.0000020353598,0.000106948966,0.00010725936,0.000016594826,0.000020523412,0.95801795,0.038361624,0.0006749164,0.000048543134,0.0025662824],"study_design_scores_gemma":[0.0008601113,0.000059213085,5.214977e-7,0.0001744268,0.0000706495,0.000107406915,0.00025247596,0.6775214,0.31953132,0.00016490721,0.0010083203,0.0002492141],"about_ca_topic_score_codex":0.0000070558885,"about_ca_topic_score_gemma":0.000019268133,"teacher_disagreement_score":0.90419877,"about_ca_system_score_codex":0.00027832843,"about_ca_system_score_gemma":0.00006781213,"threshold_uncertainty_score":0.999938},"labels":[],"label_agreement":null},{"id":"W3158665018","doi":"10.36227/techrxiv.14462172.v1","title":"On The Design of Cost-efficient and Resilient Hierarchical Backhaul Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ultra Electronics (Canada); École de Technologie Supérieure","funders":"","keywords":"Backhaul (telecommunications); Computer science; Computer network; Wireless network; Network planning and design; Core network; Distributed computing; Wireless; Base station; Telecommunications","score_opus":0.02025047001182315,"score_gpt":0.23476294806190554,"score_spread":0.2145124780500824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158665018","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":[0.004456361,0.00079009804,0.99112624,0.000056095017,0.00044496698,0.0010572181,0.0000045978504,0.00010911164,0.0019553027],"genre_scores_gemma":[0.9767392,0.0003584048,0.022446757,0.00003970673,0.00006170411,0.00014382783,0.000025130876,0.000050379003,0.00013485587],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989665,0.00012180933,0.00031806953,0.00026765224,0.0001476601,0.00017830654],"domain_scores_gemma":[0.9988729,0.00046309168,0.00006034905,0.0004845984,0.000064728,0.000054376887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027513006,0.00020637408,0.00027673924,0.00005565324,0.00003373337,0.00003834345,0.0001482159,0.00020440058,0.00006225263],"category_scores_gemma":[0.00008272652,0.00014946942,0.000049397768,0.000102675185,0.000050968527,0.000012845419,0.00020458766,0.0005028622,0.0000020494783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009975506,0.00001607885,0.0000033900346,0.000077947116,0.0000312001,0.0000025521308,0.00012210596,0.9962266,0.00008088475,0.0020952758,0.0005135839,0.0008203699],"study_design_scores_gemma":[0.00010063245,0.000016215232,0.000029615072,0.00025929837,0.000012690793,0.0000028443776,0.000071253155,0.9985747,0.00060485676,0.00015003327,0.000034958204,0.0001429262],"about_ca_topic_score_codex":0.000005065079,"about_ca_topic_score_gemma":0.0000032238313,"teacher_disagreement_score":0.9722829,"about_ca_system_score_codex":0.000075908276,"about_ca_system_score_gemma":0.000024588446,"threshold_uncertainty_score":0.6095186},"labels":[],"label_agreement":null},{"id":"W3159437800","doi":"10.1109/lnet.2021.3076409","title":"Carrier Aggregation With Optimized UE Power Consumption in 5G","year":2021,"lang":"en","type":"article","venue":"IEEE Networking Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Ottawa","funders":"","keywords":"Throughput; Computer science; User equipment; Quality of service; Power consumption; Constraint (computer-aided design); Computer network; Power (physics); Reduction (mathematics); Real-time computing; Reliability engineering; Telecommunications; Base station; Engineering; Wireless; Mathematics","score_opus":0.009660941306359935,"score_gpt":0.20696225215506678,"score_spread":0.19730131084870683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159437800","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":[0.26653302,0.0007231042,0.72884285,0.00021477854,0.002289155,0.00023375069,0.00000435829,0.00035797013,0.0008009873],"genre_scores_gemma":[0.9859052,0.00011427382,0.013020861,0.00045328867,0.00029920696,0.00003698981,0.000035151104,0.00007008887,0.000064946784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904585,0.000060708917,0.00024654757,0.00023809596,0.0001285724,0.00028020507],"domain_scores_gemma":[0.9995693,0.00006181334,0.000055572516,0.00022777755,0.000040832372,0.000044714416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008980118,0.000164624,0.00019583029,0.000074576325,0.00004103342,0.000045070887,0.00005385985,0.00008393678,0.000022922197],"category_scores_gemma":[0.000008920184,0.00018262524,0.00003191859,0.00032215426,0.000024577923,0.00019370031,0.0000063873113,0.00018946608,0.0000148993495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017404833,0.000004402496,0.0028717672,0.000028557883,0.000025404863,0.00012260982,0.00021624049,0.9837345,0.010964575,0.000007959634,0.0008220817,0.0011845329],"study_design_scores_gemma":[0.008327565,0.000045271634,0.004053571,0.0024371743,0.00011804146,0.0004238994,0.00020175174,0.8912602,0.07779072,0.00008050304,0.013213033,0.0020482866],"about_ca_topic_score_codex":0.00000606079,"about_ca_topic_score_gemma":0.00006918262,"teacher_disagreement_score":0.71937215,"about_ca_system_score_codex":0.00019094073,"about_ca_system_score_gemma":0.000016968108,"threshold_uncertainty_score":0.7447241},"labels":[],"label_agreement":null},{"id":"W3160652019","doi":"10.1109/icassp39728.2021.9413651","title":"Admm-Based Fast Algorithm for Robust Multi-Group Multicast Beamforming","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Beamforming; Computer science; Mathematical optimization; Multicast; Solver; MIMO; Algorithm; Convex optimization; Convergence (economics); Optimization problem; Regular polygon; Mathematics; Telecommunications; Distributed computing","score_opus":0.019688212824687197,"score_gpt":0.23865929708701497,"score_spread":0.21897108426232778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160652019","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":[0.000087468026,0.0001394796,0.9977033,0.000015930898,0.00042988913,0.00036271353,0.000043948854,0.00056572614,0.00065151625],"genre_scores_gemma":[0.01622461,0.0000059635317,0.98238456,0.00004728492,0.000115481875,0.00012399982,0.00016751257,0.000081015685,0.00084958266],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991159,0.000009827489,0.00026601917,0.000226581,0.00008235174,0.00029932283],"domain_scores_gemma":[0.9994448,0.00008304018,0.00002822168,0.00023078908,0.00012649184,0.00008669732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007059281,0.00017396033,0.00019109187,0.00006259426,0.00007468818,0.000037178637,0.00007663746,0.00009137745,0.000063369494],"category_scores_gemma":[0.000051098737,0.00018488265,0.000078289006,0.00017951817,0.000013144274,0.00020503902,0.000018535284,0.00008169685,0.000022033999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014274326,0.000035351666,0.000014981454,0.000081489954,0.000019286525,0.0000051796064,0.000046255045,0.93682855,0.005497216,0.000048364025,0.00010438247,0.0573175],"study_design_scores_gemma":[0.0011476343,0.000014259384,0.000007874545,0.00004314579,0.000013098824,0.000007119961,0.00025480258,0.97342527,0.022959758,0.0000025230834,0.0018982094,0.00022633266],"about_ca_topic_score_codex":0.0000050467756,"about_ca_topic_score_gemma":0.00006577439,"teacher_disagreement_score":0.057091165,"about_ca_system_score_codex":0.000102044745,"about_ca_system_score_gemma":0.00001942546,"threshold_uncertainty_score":0.75392956},"labels":[],"label_agreement":null},{"id":"W3160971877","doi":"10.18280/ts.380229","title":"An Investigation of Spectral Efficiency in Linear MRC and MMSE Detectors with Perfect and Imperfect CSI for Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Detector; Telecommunications link; MIMO; Imperfect; Channel state information; Minimum mean square error; Base station; Spectral efficiency; Maximal-ratio combining; Antenna (radio); Monte Carlo method; Computer science; Channel (broadcasting); Topology (electrical circuits); Algorithm; Mathematics; Telecommunications; Electronic engineering; Statistics; Fading; Engineering; Wireless; Combinatorics","score_opus":0.007567576644348329,"score_gpt":0.21050841286265148,"score_spread":0.20294083621830317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160971877","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":[0.8628411,0.00043396547,0.13604604,0.0000057834054,0.00006408648,0.0005250834,0.000020868829,0.000047647234,0.000015385116],"genre_scores_gemma":[0.9938082,0.000023004752,0.0059735766,0.0000036242639,0.000059803835,0.00006717554,0.00003124815,0.000028504686,0.0000048665634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991835,0.000050382303,0.00027154406,0.0002159073,0.000102552185,0.00017613225],"domain_scores_gemma":[0.9996437,0.00006417376,0.00005927286,0.00009282286,0.000068405025,0.00007166062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001789753,0.00014832361,0.00022029491,0.00010476345,0.00003646268,0.000026885504,0.00003762049,0.000052891173,0.0000053128706],"category_scores_gemma":[0.0000128055535,0.0001385514,0.000018104807,0.00018332346,0.00004338001,0.000199868,0.000006601069,0.000065368076,1.7497699e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042635394,0.000021850281,0.012818958,0.0005527957,0.000027834185,0.0000070669503,0.0014158697,0.7776004,0.20708483,0.00013206166,0.0000037802079,0.00029188034],"study_design_scores_gemma":[0.0015203493,0.0005656467,0.0053856266,0.00021594645,0.000034331068,0.000020902675,0.0007231891,0.9121616,0.07913682,0.000017196899,0.000006338872,0.00021204064],"about_ca_topic_score_codex":0.000023963998,"about_ca_topic_score_gemma":0.00006707942,"teacher_disagreement_score":0.13456118,"about_ca_system_score_codex":0.000059557005,"about_ca_system_score_gemma":0.000029557983,"threshold_uncertainty_score":0.56499624},"labels":[],"label_agreement":null},{"id":"W3161228270","doi":"10.1109/icassp39728.2021.9414692","title":"Antenna Selection for Massive MIMO Systems Based on POMDP Framework","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Partially observable Markov decision process; Antenna (radio); Computer science; MIMO; Fading; Selection (genetic algorithm); Channel state information; Channel (broadcasting); Mathematical optimization; Markov chain; Telecommunications link; Base station; Algorithm; Control theory (sociology); Markov model; Telecommunications; Mathematics; Wireless; Machine learning; Artificial intelligence","score_opus":0.009094483521956513,"score_gpt":0.22851146571978356,"score_spread":0.21941698219782704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161228270","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":[0.0002905283,0.00014877068,0.994395,0.000066974455,0.0010526082,0.0003709474,0.000012108412,0.00049860927,0.0031644262],"genre_scores_gemma":[0.9036038,0.0000106735415,0.094426356,0.0000926085,0.00025986982,0.00016946724,0.000047166934,0.000066195884,0.0013238904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932426,0.000020670686,0.00018847901,0.00018739184,0.00008656916,0.00019263786],"domain_scores_gemma":[0.99942905,0.00015598045,0.000030887786,0.00017268208,0.00016431602,0.000047095713],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057042223,0.00012813031,0.00015770852,0.000068113775,0.00005450016,0.00004321007,0.000043664382,0.00013058164,0.000043620803],"category_scores_gemma":[0.00012631174,0.00013061943,0.000050303872,0.000266238,0.000004861784,0.00009127485,0.000004359606,0.00009970458,0.00002613051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008684824,0.000012804907,0.000089294015,0.00014476178,0.000017233231,0.0000018084124,0.000020659823,0.98989695,0.0050093154,0.0036619517,0.0009681941,0.00016835137],"study_design_scores_gemma":[0.00024762077,0.000037070455,0.000015540036,0.0001621164,0.000009438433,0.0000039912265,0.000119374774,0.9896956,0.007762519,0.0001273505,0.0016651157,0.00015427823],"about_ca_topic_score_codex":0.000005536368,"about_ca_topic_score_gemma":0.0000079510855,"teacher_disagreement_score":0.9033132,"about_ca_system_score_codex":0.00013712264,"about_ca_system_score_gemma":0.000022490101,"threshold_uncertainty_score":0.5326506},"labels":[],"label_agreement":null},{"id":"W3162928544","doi":"10.1109/icjece.2021.3065640","title":"Power-Aware Coexistence of Wi-Fi and LTE in the Unlicensed Band Using Time-Domain Virtualization","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Spectrum management; Computer network; Virtualization; Wireless network; Wireless; Network virtualization; Heuristics; Cognitive radio; Telecommunications; Cloud computing","score_opus":0.005360710265072752,"score_gpt":0.17820121939839473,"score_spread":0.17284050913332197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162928544","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":[0.33137676,0.0018155383,0.66661185,0.000023313673,0.00009097582,0.000047418496,0.000002409441,0.00000651851,0.00002518978],"genre_scores_gemma":[0.99461424,0.0000367291,0.0052555827,0.000024441306,0.000052540516,4.167213e-7,0.0000014250191,0.000012382358,0.0000022677818],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999443,0.000025673417,0.000247006,0.000067057634,0.00006494749,0.00015230154],"domain_scores_gemma":[0.9996353,0.0000799684,0.000042672295,0.000057783025,0.000069888956,0.00011440455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011014605,0.00008576824,0.0001770468,0.00016440611,0.000025730267,0.000033588585,0.00006279537,0.00004363497,0.000003022598],"category_scores_gemma":[0.000027035183,0.00007773501,0.00002082343,0.00036752672,0.000012659043,0.00011077065,0.0000043365017,0.00013402262,1.044135e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026033163,0.000004391232,0.00045730275,0.000051637395,0.000023166083,0.00015667472,0.0008177201,0.9917858,0.0055177384,0.00038278117,0.00004297637,0.0007571821],"study_design_scores_gemma":[0.00028286775,0.000053648393,0.0010496093,0.00015756191,0.000008815568,0.00065702165,0.000040537743,0.9965779,0.0007504163,0.00003916638,0.00027347004,0.00010894102],"about_ca_topic_score_codex":0.000027502098,"about_ca_topic_score_gemma":0.000058272148,"teacher_disagreement_score":0.66323745,"about_ca_system_score_codex":0.00006413361,"about_ca_system_score_gemma":0.00006862217,"threshold_uncertainty_score":0.31699416},"labels":[],"label_agreement":null},{"id":"W3164308355","doi":"10.1109/tvt.2021.3082776","title":"Unsupervised Deep Learning Approach for Near Optimal Power Allocation in CRAN","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Deep learning; Artificial intelligence; Computational complexity theory; Cellular network; Face (sociological concept); Distributed computing; Machine learning; Algorithm; Computer network","score_opus":0.0072773553017349245,"score_gpt":0.2122699269522055,"score_spread":0.20499257165047058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164308355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045198295,0.00030023028,0.9529,0.000100087214,0.0001807387,0.00040422392,0.000004191869,0.0007581036,0.00015411031],"genre_scores_gemma":[0.87947357,0.00005534399,0.11992384,0.00001513965,0.000008958133,0.00036455676,0.000026245145,0.00006227905,0.00007005727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989986,0.000032602307,0.0002785099,0.0003163289,0.000084436855,0.00028953492],"domain_scores_gemma":[0.9995118,0.00003080688,0.000027781123,0.00029057282,0.00010461947,0.000034445056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008997376,0.00017966275,0.00023001216,0.00031692622,0.0001251652,0.00002340797,0.0001186565,0.0003729532,0.000022303442],"category_scores_gemma":[0.000015890679,0.00021964405,0.00007903714,0.000771968,0.000048752456,0.00013434234,0.0000011867886,0.00044056683,0.000012317178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010803741,0.000075055745,0.000012289765,0.000047625974,0.000036738133,0.0000069341777,0.00014496062,0.9688902,0.022605948,0.00012586596,0.0000025114791,0.008041076],"study_design_scores_gemma":[0.0007911408,0.0000657772,0.000008628269,0.000025273886,0.000020327983,0.00003435807,0.000478436,0.91516286,0.082561314,0.00004073053,0.0005997959,0.0002113517],"about_ca_topic_score_codex":0.000002883587,"about_ca_topic_score_gemma":0.000020268777,"teacher_disagreement_score":0.8342753,"about_ca_system_score_codex":0.0001452951,"about_ca_system_score_gemma":0.000023850796,"threshold_uncertainty_score":0.89568245},"labels":[],"label_agreement":null},{"id":"W3164836019","doi":"10.1109/tnsm.2021.3083073","title":"Data-Driven Energy Conservation in Cellular Networks: A Systems Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Academy of Finland","keywords":"Computer science; Energy consumption; Provisioning; Key (lock); Overhead (engineering); Context (archaeology); Energy (signal processing); Efficient energy use; Cellular network; Energy conservation; Base station; Distributed computing; Real-time computing; Computer network; Computer security","score_opus":0.016930186562502048,"score_gpt":0.19867422239972352,"score_spread":0.18174403583722146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164836019","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":[0.0003591202,0.0009892609,0.9941142,0.00006818875,0.0007765608,0.0002767722,0.000015896701,0.00018965747,0.0032103376],"genre_scores_gemma":[0.9809774,0.004555069,0.012682556,0.0004939422,0.00020107465,0.00023997591,0.00036944816,0.00007537986,0.00040513038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988515,0.000074735945,0.0003231158,0.00036293277,0.000118542885,0.0002691742],"domain_scores_gemma":[0.9992952,0.000035703033,0.000037395046,0.0005329363,0.000041136904,0.000057633326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013378802,0.00018659991,0.00021652032,0.00008904539,0.00009524713,0.00007131001,0.00015691096,0.000089076115,0.0000070176397],"category_scores_gemma":[2.5661993e-7,0.00021601339,0.000020767882,0.00072570064,0.000008945601,0.00021748035,0.000007466668,0.0001342693,0.0000034423847],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009156308,0.000044748806,0.0000084306785,0.00027486656,0.00009091454,0.00002037068,0.000049674414,0.99489826,0.0000128563,0.0005444089,0.000470403,0.0035759243],"study_design_scores_gemma":[0.00043009722,0.000007807644,0.000017854014,0.00013637113,0.000053442698,0.000006095462,0.0003387088,0.99128634,0.00001663988,0.000017530248,0.00749071,0.00019841625],"about_ca_topic_score_codex":0.00008180704,"about_ca_topic_score_gemma":0.00072855473,"teacher_disagreement_score":0.98143166,"about_ca_system_score_codex":0.00007195366,"about_ca_system_score_gemma":0.000007757662,"threshold_uncertainty_score":0.880877},"labels":[],"label_agreement":null},{"id":"W3164904872","doi":"10.1109/access.2021.3083554","title":"Machine Learning–Based Mobility Robustness Optimization Under Dynamic Cellular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"University of Ulsan","keywords":"Computer science; Handover; Robustness (evolution); Network topology; Topology optimization; Distributed computing; Mobility model; Topology (electrical circuits); Cellular network; Computer network; Engineering","score_opus":0.011468561454092845,"score_gpt":0.24253407806188285,"score_spread":0.23106551660779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164904872","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":[0.0073456843,0.0009902619,0.98951817,0.000026021908,0.00095459714,0.00022010977,0.0000063915722,0.0006095396,0.00032923484],"genre_scores_gemma":[0.9887643,0.00011107302,0.010352425,0.00003803891,0.000087349326,0.000044458164,0.00031731732,0.0000889012,0.00019612418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885756,0.00009237873,0.0003120038,0.00031849963,0.000139058,0.00028051],"domain_scores_gemma":[0.9992351,0.00006944914,0.000072597075,0.00037851944,0.00016800525,0.00007632841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001306726,0.00021369348,0.0002338293,0.00007393412,0.00010700384,0.00012819831,0.00021976612,0.00015883934,0.00016972276],"category_scores_gemma":[0.00003323507,0.00024377297,0.00006107589,0.00055888685,0.00002509102,0.0004888079,0.000036442234,0.0002791699,0.000005359454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005630516,0.000031327956,0.00034653858,0.000086847765,0.000020204812,0.000012213541,0.000009341956,0.9986081,0.0005167894,0.000008730412,0.000023313447,0.00033093063],"study_design_scores_gemma":[0.000382797,0.0000068425175,0.00006889656,0.000038529994,0.000021841679,0.000003522095,0.000013204724,0.99534523,0.0037904491,0.000019595711,0.00005360113,0.0002554666],"about_ca_topic_score_codex":0.000014478871,"about_ca_topic_score_gemma":0.000053709784,"teacher_disagreement_score":0.9814186,"about_ca_system_score_codex":0.00018920678,"about_ca_system_score_gemma":0.00003273808,"threshold_uncertainty_score":0.9940773},"labels":[],"label_agreement":null},{"id":"W3165541290","doi":"","title":"Resource Allocation for Massive MIMO HetNets with Quantize-Forward Relaying.","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Quantization (signal processing); Decoding methods; MIMO; Heterogeneous network; Telecommunications link; Transmission (telecommunications); Scheme (mathematics); Base station; Macro; Computer network; Algorithm; Telecommunications; Wireless; Mathematics; Wireless network; Channel (broadcasting)","score_opus":0.035585352279722406,"score_gpt":0.17638325212379327,"score_spread":0.14079789984407087,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165541290","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":[0.06210883,0.00021806033,0.93422616,0.000032661796,0.0003259196,0.00081409473,0.00003378055,0.00048837176,0.0017521288],"genre_scores_gemma":[0.98770535,0.00016709333,0.010248866,0.000019412806,0.00009559464,0.000013084935,0.00039228232,0.0001157962,0.0012425478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855274,0.00005457193,0.00024693887,0.0007424041,0.000066773166,0.00033659485],"domain_scores_gemma":[0.99857324,0.0001007001,0.00020103635,0.0007393749,0.00026502524,0.000120609126],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011636724,0.0003768772,0.00040978537,0.00020701716,0.000114274604,0.000064978245,0.00033276182,0.00037840023,0.0000148428535],"category_scores_gemma":[0.00004429563,0.00045281462,0.00015036853,0.0003775893,0.000052152496,0.0002524968,0.00016982666,0.00039848746,0.000012003524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006421197,0.000018153625,0.00024664236,0.00042336778,0.00017873806,0.00006189972,0.00022366553,0.99499464,0.00019227463,0.0031743692,0.00030701992,0.000115009],"study_design_scores_gemma":[0.00091392314,0.000054960772,0.00005235517,0.00050369493,0.00021377417,0.000006871715,0.0010074374,0.993595,0.0010509545,0.00044046785,0.0014839238,0.00067661674],"about_ca_topic_score_codex":0.000032745753,"about_ca_topic_score_gemma":0.00009251914,"teacher_disagreement_score":0.9255965,"about_ca_system_score_codex":0.00042232906,"about_ca_system_score_gemma":0.00009041353,"threshold_uncertainty_score":0.99979234},"labels":[],"label_agreement":null},{"id":"W3166003077","doi":"10.1109/vtc2021-spring51267.2021.9449014","title":"Granting Massive Access by Adaptive Pilot Assignment Scheme for Scalable Cell-free Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Scheme (mathematics); Scalability; Computer science; Random access; Spectral efficiency; Reuse; MIMO; Distributed computing; Computer network; Resource allocation; Mathematics; Engineering","score_opus":0.02128262470179215,"score_gpt":0.23818854419177177,"score_spread":0.21690591948997962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166003077","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":[0.00082243304,0.0015041473,0.9793473,0.00009826393,0.0008866144,0.0011436779,0.00015934925,0.0004698826,0.015568369],"genre_scores_gemma":[0.89788675,0.00009919063,0.09352931,0.000055375855,0.00026214635,0.00089997565,0.00020201705,0.00020150238,0.0068637473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814594,0.00004872555,0.00052768836,0.00047140336,0.00025512784,0.00055112765],"domain_scores_gemma":[0.99865496,0.00019645733,0.00015399739,0.00051544607,0.00033803706,0.0001410883],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015013575,0.00033444588,0.00041950715,0.00008340408,0.00015811545,0.00022062517,0.0003698954,0.0001268155,0.00007278086],"category_scores_gemma":[0.00009768107,0.00034681085,0.000084057196,0.0003449494,0.000024408146,0.00064985856,0.0001595559,0.00015787459,0.000027806595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026583868,0.00008151602,0.000082158265,0.0005649603,0.00013424236,0.000015138914,0.000074502736,0.85483533,0.10550657,0.0028487025,0.035631627,0.00019864952],"study_design_scores_gemma":[0.0016151931,0.000111940855,0.0000049122414,0.00023313068,0.000048037375,0.000006106545,0.0014428935,0.7271517,0.26558596,0.000246683,0.0029553636,0.0005980936],"about_ca_topic_score_codex":0.000057766872,"about_ca_topic_score_gemma":0.000018057623,"teacher_disagreement_score":0.8970643,"about_ca_system_score_codex":0.0003213155,"about_ca_system_score_gemma":0.000052291896,"threshold_uncertainty_score":0.9998984},"labels":[],"label_agreement":null},{"id":"W3166072085","doi":"10.1109/vtc2021-spring51267.2021.9448641","title":"TUCKER2-based Hybrid Beamforming Design for mmWave OFDM Massive MIMO Communications","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Baseband; Subcarrier; Computer science; Orthogonal frequency-division multiplexing; MIMO; Electronic engineering; Beamforming; Singular value decomposition; Precoding; MIMO-OFDM; Interference (communication); Computational complexity theory; Orthogonality; Channel (broadcasting); Algorithm; Telecommunications; Bandwidth (computing); Mathematics; Engineering","score_opus":0.03329708046116172,"score_gpt":0.25664190246337515,"score_spread":0.22334482200221342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166072085","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":[0.00012232148,0.00029456386,0.99468315,0.00021755185,0.00015322052,0.00047503202,0.00002881146,0.00036675882,0.003658615],"genre_scores_gemma":[0.23339263,0.000037155598,0.7654395,0.00008238199,0.000035710287,0.00022022208,0.0001852127,0.000052348503,0.0005548407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929506,0.00003219137,0.00025390112,0.00014497046,0.00006648512,0.0002073894],"domain_scores_gemma":[0.99876845,0.00031644042,0.00004084224,0.0006339368,0.0001837627,0.00005659411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104545594,0.00013040876,0.00016021894,0.000058448404,0.00011559611,0.00003149895,0.00018039306,0.000045962526,0.00004437111],"category_scores_gemma":[0.00010829056,0.00014466778,0.00006289847,0.00015422139,0.000023372446,0.000163044,0.000033935034,0.00008081313,0.000021432252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003206183,0.000017551423,0.000009502068,0.000061633,0.000026988098,0.0000016992398,0.00005785356,0.98850924,0.0071037323,0.0013473091,0.001641673,0.0012196309],"study_design_scores_gemma":[0.0003813691,0.000013751525,0.0000023041284,0.000042536492,0.000017698014,0.000005747579,0.00016259457,0.84402156,0.14889605,0.00025351654,0.0060356846,0.00016716844],"about_ca_topic_score_codex":0.0000034548445,"about_ca_topic_score_gemma":0.000017149387,"teacher_disagreement_score":0.2332703,"about_ca_system_score_codex":0.000115468545,"about_ca_system_score_gemma":0.00005656824,"threshold_uncertainty_score":0.58993804},"labels":[],"label_agreement":null},{"id":"W3166264769","doi":"10.1017/9781108332835.008","title":"Multiuser MIMO Transmissions","year":2020,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; MIMO; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.017083462863975857,"score_gpt":0.18128159532907787,"score_spread":0.164198132465102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166264769","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000024027468,0.0002262775,0.1136318,0.000008009939,0.00027116438,0.00040081376,0.00026713184,0.0008029004,0.8843895],"genre_scores_gemma":[0.0012762427,0.000183432,0.0016959812,0.000022749402,0.0001358598,0.0000010348966,0.00009728104,0.00014740015,0.99644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99908304,0.000012692904,0.00019496118,0.0003568346,0.00013998913,0.00021249418],"domain_scores_gemma":[0.9992116,0.00003235517,0.0000699954,0.0003751257,0.00007203095,0.00023887376],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000020832333,0.00038709838,0.00038138896,0.00012091755,0.00009609738,0.000019584111,0.0003125231,0.0003811051,0.0000084182975],"category_scores_gemma":[0.000004493278,0.00049507606,0.0001774341,0.00000942949,0.000064869,0.0001002041,0.000074188516,0.0004595762,0.000042457068],"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":[0.00007155798,0.00000837818,6.126117e-7,0.0008228149,0.0004814678,0.0006358194,0.00025506833,0.030284202,0.0012701281,0.85068744,0.112521134,0.002961349],"study_design_scores_gemma":[0.00045744388,0.000014971494,6.4038676e-7,0.00021148923,0.00013996933,0.000007371093,0.00001819065,0.0108939065,0.00058212306,0.0000028946681,0.9871567,0.00051432196],"about_ca_topic_score_codex":0.000010768701,"about_ca_topic_score_gemma":9.997085e-7,"teacher_disagreement_score":0.8746355,"about_ca_system_score_codex":0.0001860716,"about_ca_system_score_gemma":0.000031668988,"threshold_uncertainty_score":0.9997501},"labels":[],"label_agreement":null},{"id":"W3168634701","doi":"10.1109/jiot.2021.3089327","title":"Spatial-Reuse-Based Efficient Coexistence for Cellular and WiFi Systems in the Unlicensed Band","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Science Research of Jiangsu Higher Education Institutions of China; Beijing Institute of Technology Research Fund Program for Young Scholars; Natural Science Foundation of Beijing Municipality; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Computer network; Throughput; Cellular network; Resource allocation; Reuse; Spectral efficiency; Subspace topology; Underlay; Optimization problem; Interference (communication); Distributed computing; Wireless; Telecommunications; Algorithm; Signal-to-noise ratio (imaging); Engineering","score_opus":0.013586641846068392,"score_gpt":0.22609045371463055,"score_spread":0.21250381186856215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168634701","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":[0.27959424,0.0013398665,0.71763504,0.000072438015,0.00095670694,0.00020896438,0.0000041004546,0.000021229393,0.00016738883],"genre_scores_gemma":[0.9962034,0.000020807543,0.0035301156,0.000044699143,0.00009595406,0.000012136283,0.0000026901146,0.000023365465,0.00006680086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903953,0.000070183676,0.0004327288,0.0001179562,0.00017096082,0.00016862742],"domain_scores_gemma":[0.9992662,0.00018581214,0.0001551676,0.00019311128,0.00015686527,0.00004285429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005252922,0.0001195479,0.00021518655,0.000108567336,0.00003238085,0.00010334001,0.00023663648,0.000062491396,0.0000038044118],"category_scores_gemma":[0.00013706027,0.00009576511,0.000056351073,0.00012536855,0.000030436047,0.00009926509,0.000010790854,0.0002097159,8.9514475e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029952285,0.000029320017,0.00012238315,0.00029721466,0.00002767643,0.00004038074,0.0034023572,0.9177113,0.0776549,0.00007383657,0.00042390506,0.00018678643],"study_design_scores_gemma":[0.000872426,0.000058175006,0.0000331506,0.00066512683,0.00002089525,0.0001810689,0.0004912004,0.90214956,0.094745256,0.000035312954,0.00062523666,0.00012261278],"about_ca_topic_score_codex":0.00004650157,"about_ca_topic_score_gemma":0.0000072558178,"teacher_disagreement_score":0.7166092,"about_ca_system_score_codex":0.00007532939,"about_ca_system_score_gemma":0.000027030821,"threshold_uncertainty_score":0.39051875},"labels":[],"label_agreement":null},{"id":"W3169990404","doi":"10.32604/cmc.2021.017711","title":"Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission","year":2021,"lang":"en","type":"article","venue":"Computers, materials & continua/Computers, materials & continua (Print)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Deanship of Scientific Research, Prince Sattam bin Abdulaziz University; Thailand Science Research and Innovation; Taif University; Prince Sattam bin Abdulaziz University","keywords":"Computer science; Computer network; Telecommunications link; Efficient energy use; Throughput; Energy consumption; Spectral efficiency; Zoom; The Internet; Transmitter power output; Cellular network; Wireless; Real-time computing; Telecommunications; Transmitter; Engineering","score_opus":0.025717695046812917,"score_gpt":0.19770165722075872,"score_spread":0.1719839621739458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169990404","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":[0.30411422,0.00091708155,0.683903,0.00007431841,0.007938997,0.0015027369,0.000092828224,0.0011791791,0.00027766085],"genre_scores_gemma":[0.8799671,0.00033818712,0.11432692,0.00017897662,0.003267995,0.00017627659,0.0010133649,0.00042610138,0.0003050858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99238014,0.0008485009,0.0026270025,0.0018705935,0.00063007575,0.001643693],"domain_scores_gemma":[0.99641883,0.00018761141,0.0008842427,0.0013239336,0.000707435,0.00047791775],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0009800817,0.001634662,0.0024763236,0.0003648755,0.00035950783,0.0022870833,0.00085622934,0.00071407895,0.0007040651],"category_scores_gemma":[0.000025281039,0.0016770179,0.00029117888,0.00052050326,0.00016559965,0.0015498009,0.00044559606,0.0004396439,0.00016075783],"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":[0.00019259461,0.00011906684,0.000010459209,0.0005090598,0.00024081336,0.00038637436,0.0008245239,0.1426127,0.84665054,0.0001964697,0.0028440706,0.005413332],"study_design_scores_gemma":[0.003302693,0.00033958853,0.00016269856,0.0013839859,0.00021785696,0.0001510007,0.00029140455,0.1297663,0.859465,0.000058183734,0.0028341194,0.0020271544],"about_ca_topic_score_codex":0.000118785436,"about_ca_topic_score_gemma":0.000024387067,"teacher_disagreement_score":0.5758529,"about_ca_system_score_codex":0.00042132998,"about_ca_system_score_gemma":0.00018066593,"threshold_uncertainty_score":0.99964005},"labels":[],"label_agreement":null},{"id":"W3170260460","doi":"10.1049/cmu2.12241","title":"Achievable secrecy rate analysis in mmWave ad hoc networks with multi‐array antenna transmission and artificial noise","year":2021,"lang":"en","type":"article","venue":"IET Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Artificial noise; Computer science; Wireless ad hoc network; Transmission (telecommunications); Secrecy; Noise (video); Antenna (radio); Transmission rate; Telecommunications; Computer network; Acoustics; Electronic engineering; Wireless; Artificial intelligence; Physics; Computer security; Physical layer; Engineering","score_opus":0.018144819803755968,"score_gpt":0.2470959262420395,"score_spread":0.22895110643828354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170260460","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":[0.011903413,0.008741097,0.9783296,0.00027159296,0.000029777739,0.00019690549,0.00001262994,0.00013280202,0.00038216708],"genre_scores_gemma":[0.8895147,0.006199653,0.10383249,0.000021174566,0.000009808279,0.000050202096,0.00022768349,0.000030772026,0.00011351792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991394,0.00015192736,0.0002922434,0.00017816373,0.000056287572,0.00018195105],"domain_scores_gemma":[0.99873865,0.00012265638,0.00004661687,0.00092796894,0.00009257452,0.00007151299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016648261,0.00013686088,0.00024016881,0.00015347563,0.0001463379,0.000049485858,0.00019473211,0.00008455212,0.000016784772],"category_scores_gemma":[0.000020028207,0.00013826885,0.000043531483,0.0012295586,0.00005159823,0.0001952836,0.00003938245,0.0002569339,0.0000028303373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016372198,0.00007226628,0.0013580798,0.0000204781,0.00013097099,0.00000355944,0.0010382643,0.97652596,0.016221989,0.00007040107,0.000007585194,0.004534078],"study_design_scores_gemma":[0.00035311596,0.000011134246,0.003396785,0.00008141611,0.00012363604,0.0000043412697,0.0004648928,0.9940358,0.00052900246,0.000037988226,0.00077873934,0.00018318619],"about_ca_topic_score_codex":0.000023112449,"about_ca_topic_score_gemma":0.0031812198,"teacher_disagreement_score":0.8776113,"about_ca_system_score_codex":0.000059190792,"about_ca_system_score_gemma":0.000024740762,"threshold_uncertainty_score":0.563844},"labels":[],"label_agreement":null},{"id":"W3173843961","doi":"10.1109/twc.2021.3088125","title":"Grant-Free Access via Bilinear Inference for Cell-Free MIMO With Low-Coherence Pilots","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Strategic International Collaborative Research Program; Japan Science and Technology Agency; Canada Research Chairs","keywords":"Coherence (philosophical gambling strategy); Computer science; MIMO; Bilinear interpolation; Free probability; Telecommunications; Beamforming; Mathematics; Statistics; Discrete mathematics","score_opus":0.026960346817487678,"score_gpt":0.2710684152862965,"score_spread":0.2441080684688088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173843961","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":[0.005264472,0.000275185,0.99125165,0.0004017773,0.0002962439,0.00079635635,0.00032419743,0.00060126995,0.000788824],"genre_scores_gemma":[0.9251816,0.0007554189,0.07254982,0.00005350138,0.000025486495,0.0009918208,0.00008041226,0.0001059052,0.00025600722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985484,0.000085495696,0.0004686375,0.00034937426,0.00020129615,0.00034682846],"domain_scores_gemma":[0.99440575,0.0005622214,0.00010224641,0.004345974,0.00045377982,0.00013003813],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000101059464,0.00031372515,0.0003262282,0.0001770602,0.000503996,0.00012337556,0.002076904,0.00014346579,0.00004043706],"category_scores_gemma":[0.000024412906,0.0003318152,0.00011046337,0.00082749885,0.00014776266,0.00060325797,0.000026161391,0.0004433017,0.000022373628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041002626,0.0004941487,0.000026244188,0.0002690686,0.000090038324,0.0000023885095,0.00031826165,0.9765651,0.013759831,0.00021529199,0.00024161686,0.007976993],"study_design_scores_gemma":[0.0035664993,0.00017871163,0.00007603855,0.0005642065,0.00017858902,0.000028104861,0.00026097853,0.72817403,0.26387262,0.0009528489,0.0011454405,0.00100193],"about_ca_topic_score_codex":0.00006326641,"about_ca_topic_score_gemma":0.0021676556,"teacher_disagreement_score":0.91991717,"about_ca_system_score_codex":0.00014064019,"about_ca_system_score_gemma":0.00012961024,"threshold_uncertainty_score":0.9999134},"labels":[],"label_agreement":null},{"id":"W3176105111","doi":"10.1109/ojcoms.2023.3243870","title":"Self-Evolving Integrated Vertical Heterogeneous Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Network architecture; Distributed computing; Quality of service; Architecture; Heterogeneous network; Network element; Wireless network; Systems engineering; Computer network; Wireless; Engineering; Telecommunications","score_opus":0.030797403660290282,"score_gpt":0.2832446308081517,"score_spread":0.25244722714786144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3176105111","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":[0.043509427,0.0072908513,0.9315425,0.004535292,0.005093935,0.0017601468,0.000021725746,0.0010227112,0.0052233967],"genre_scores_gemma":[0.95770144,0.0021199717,0.03988181,0.00007610277,0.00006941795,0.000013543962,0.0000046218247,0.000039925093,0.00009316601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991138,0.00013911651,0.0004110543,0.000057979516,0.0001114137,0.00016664642],"domain_scores_gemma":[0.99847347,0.00018858709,0.000104309496,0.00096214056,0.00021280516,0.000058696845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000529118,0.00010189962,0.00017914204,0.000025790172,0.0002997655,0.00012324055,0.0024333606,0.000078024736,0.000008634042],"category_scores_gemma":[0.000056330413,0.000077555625,0.00018524683,0.000650564,0.00006082506,0.0003209272,0.00040704675,0.00047402017,0.000014488599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017107108,0.000020012076,0.00011171297,0.000009081907,0.0001393065,6.1000446e-7,0.0006674507,0.9842557,0.0005285598,0.000042120468,0.013791271,0.00043248988],"study_design_scores_gemma":[0.00023722611,0.000011277882,0.0000680093,0.00010221431,0.000038472957,0.00005314812,0.00031037937,0.9926351,0.00038623027,0.00009298748,0.0059733163,0.000091657224],"about_ca_topic_score_codex":0.0000043626505,"about_ca_topic_score_gemma":0.000010094386,"teacher_disagreement_score":0.914192,"about_ca_system_score_codex":0.0002264728,"about_ca_system_score_gemma":0.0000493285,"threshold_uncertainty_score":0.452183},"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":"W3180563881","doi":"10.1109/iccworkshops50388.2021.9473750","title":"Fair Licensed Spectrum Sharing Between Two MNOs Using Resource Optimization","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Optimization problem; Wireless; Scheduling (production processes); Mathematical optimization; Convex optimization; Computer network; Cellular network; Distributed computing; Frequency allocation; Spectral efficiency; Mobile telephony; Spectrum management; Cognitive radio; Resource allocation; Mobile radio; Telecommunications; Regular polygon; Algorithm; Mathematics","score_opus":0.019939832994809413,"score_gpt":0.24730359146374264,"score_spread":0.22736375846893322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180563881","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":[0.0092369765,0.00011185372,0.9716532,0.000038503964,0.00014991527,0.0001512015,0.000004478678,0.00075773697,0.017896097],"genre_scores_gemma":[0.7984991,0.000012794873,0.20003374,0.000034236593,0.00038518658,0.000006031453,0.00009163247,0.00010178285,0.0008354909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897397,0.000023134222,0.00031941145,0.00028004512,0.00012132303,0.00028209895],"domain_scores_gemma":[0.99944353,0.00004122308,0.000045457036,0.00033702908,0.00005210266,0.0000806291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009054572,0.00016913471,0.00021046851,0.00009585779,0.000085963366,0.00007443546,0.00010906874,0.00008055819,0.00020790365],"category_scores_gemma":[0.000036288577,0.00019917342,0.00004766854,0.00043622006,0.0000105419185,0.00030116245,0.000065748165,0.00013082936,0.000023692026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011181975,0.000003976853,0.0011562217,0.000030387031,0.00002446587,0.000007487197,0.00008014259,0.99594617,0.0022436029,0.00024701192,0.000053346794,0.00020605941],"study_design_scores_gemma":[0.00036436404,0.0000046533355,0.000065321445,0.000057343575,0.000022539652,0.000014231927,0.00012724515,0.9786725,0.01981353,0.00006161958,0.0005585532,0.00023806524],"about_ca_topic_score_codex":0.000023961344,"about_ca_topic_score_gemma":0.000016847025,"teacher_disagreement_score":0.7892621,"about_ca_system_score_codex":0.00018066645,"about_ca_system_score_gemma":0.000022344324,"threshold_uncertainty_score":0.8122057},"labels":[],"label_agreement":null},{"id":"W3182194795","doi":"10.1109/mass52906.2021.00011","title":"QoS-Aware Load Balancing in Wireless Networks using Clipped Double Q-Learning","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Handover; Load balancing (electrical power); Computer network; Quality of service; Throughput; Wireless network; Radio resource management; Packet loss; Context (archaeology); Distributed computing; Wireless; Network packet; Telecommunications","score_opus":0.01474969148648399,"score_gpt":0.2448848520916449,"score_spread":0.2301351606051609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182194795","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":[0.10530207,0.00076296355,0.88740885,0.0000042461907,0.0022964126,0.00043680536,0.0000014029332,0.00076489855,0.0030223709],"genre_scores_gemma":[0.9845073,0.00038668045,0.014067826,0.000011406955,0.00047096598,0.00005029228,0.0001450798,0.00017093618,0.00018950527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979586,0.000069563444,0.00067544257,0.00055507396,0.00021539997,0.00052593875],"domain_scores_gemma":[0.99909663,0.00005421169,0.00014585645,0.00046054798,0.00015383746,0.00008892818],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029711585,0.00043891137,0.0006617947,0.00019092947,0.00006534894,0.00017458493,0.00021625735,0.0006183108,0.00008267811],"category_scores_gemma":[0.000020747702,0.0005332739,0.00011093285,0.00041706325,0.000013967644,0.00023602902,0.0003963091,0.0014744623,0.000005816203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007319775,0.000007893934,0.002149709,0.00042392197,0.000036107103,0.000036741603,0.00031760253,0.9957999,0.0005254355,0.00001421879,0.000019497062,0.0006616337],"study_design_scores_gemma":[0.00052599685,0.0000033447561,0.00007305053,0.0013723484,0.000018610956,0.000010969157,0.0005837608,0.9963238,0.0004975914,0.0000037630573,0.00005151855,0.000535227],"about_ca_topic_score_codex":0.0006713672,"about_ca_topic_score_gemma":0.0008438901,"teacher_disagreement_score":0.8792052,"about_ca_system_score_codex":0.0011055707,"about_ca_system_score_gemma":0.00012762785,"threshold_uncertainty_score":0.9997119},"labels":[],"label_agreement":null},{"id":"W3182871309","doi":"10.1109/jiot.2021.3095757","title":"Robust Design of Multicell D2D Communication Under Partial CSI","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Beamforming; Telecommunications link; Channel state information; Power control; Base station; Cellular network; Upper and lower bounds; Overhead (engineering); Mathematical optimization; Computer network; Power (physics); Telecommunications; Wireless; Mathematics","score_opus":0.038625326245395296,"score_gpt":0.24515822559772651,"score_spread":0.2065328993523312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182871309","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":[0.02134164,0.00078068516,0.9767105,0.00003209167,0.0005698783,0.000064531945,9.633139e-7,0.00003620504,0.00046347745],"genre_scores_gemma":[0.87526673,0.00020184024,0.12421465,0.000019568832,0.00005217239,0.0000018417016,0.0000023624907,0.000026190044,0.00021464493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990199,0.0001032563,0.00052423036,0.000076118115,0.0001493606,0.00012713745],"domain_scores_gemma":[0.9990931,0.00011168756,0.00025929205,0.0002150184,0.000271016,0.000049873724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031544248,0.00010132363,0.0002073419,0.00007334572,0.000022590442,0.000031843556,0.00023337723,0.00007602679,0.00007457455],"category_scores_gemma":[0.000057917387,0.000105479005,0.00006966092,0.00009411879,0.000035299672,0.00039220587,0.000028262684,0.00027859875,0.0000060068182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001542583,0.00002781518,0.00003354552,0.000045638248,0.00006656263,0.0000047615968,0.0011244676,0.9304996,0.067119956,0.00006890652,0.0005113978,0.0004819095],"study_design_scores_gemma":[0.00036815382,0.000024956833,0.000010700997,0.00030403497,0.000026121563,0.00008881285,0.0002175158,0.7002897,0.29829863,0.00018342052,0.00009950021,0.000088443725],"about_ca_topic_score_codex":0.000013915142,"about_ca_topic_score_gemma":0.0000022603367,"teacher_disagreement_score":0.8539251,"about_ca_system_score_codex":0.00008302965,"about_ca_system_score_gemma":0.000028061357,"threshold_uncertainty_score":0.4301309},"labels":[],"label_agreement":null},{"id":"W3182973015","doi":"10.1007/978-3-030-77459-2_2","title":"Overview of Beamforming Antennas","year":2021,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"Toronto Metropolitan University","funders":"","keywords":"Beamforming; Smart antenna; Computer science; Antenna (radio); Telecommunications; Categorization; Electronic engineering; Reconfigurable antenna; Engineering; Directional antenna; Radiation pattern; Artificial intelligence; Antenna efficiency","score_opus":0.010952008988915641,"score_gpt":0.19802546049231115,"score_spread":0.18707345150339552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3182973015","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":[0.00050169573,0.04047764,0.9490905,0.0000074617196,0.0006121231,0.00029303494,0.0000067978563,0.00034671318,0.008664041],"genre_scores_gemma":[0.31892487,0.09435433,0.5254937,0.0003744253,0.005956066,0.00020913847,0.0002969694,0.0028455688,0.05154493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871176,0.000004111839,0.0005267559,0.00030601354,0.00014423887,0.00030708793],"domain_scores_gemma":[0.9995237,0.00006420883,0.00006351211,0.00022542015,0.000045971232,0.00007718375],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007510427,0.00035683071,0.00063214434,0.00029818885,0.000013806748,0.000023179531,0.00012796151,0.00024843405,0.000013119502],"category_scores_gemma":[0.000008651341,0.00041608975,0.00009837502,0.00014631977,0.000015280104,0.00009937211,0.000096356205,0.00047320136,0.0000022919794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058031096,0.000018789651,0.00005569819,0.0021382738,0.0002033683,0.0001247285,0.00011060327,0.8382762,0.0010461757,0.0836164,0.0000657343,0.074338235],"study_design_scores_gemma":[0.00031494116,0.000043889435,0.00012219026,0.0019929027,0.00003089105,0.00007061018,6.947605e-7,0.97842836,0.0005963093,0.00033666403,0.017392745,0.00066979055],"about_ca_topic_score_codex":0.0000042611564,"about_ca_topic_score_gemma":0.0000024909243,"teacher_disagreement_score":0.4235968,"about_ca_system_score_codex":0.00012106885,"about_ca_system_score_gemma":0.000016821894,"threshold_uncertainty_score":0.9998291},"labels":[],"label_agreement":null},{"id":"W3183400766","doi":"10.1109/tcsi.2021.3097042","title":"Hardware Topologies for Decentralized Large-Scale MIMO Detection Using Newton Method","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Regular Papers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; CMC Microsystems","keywords":"Network topology; Computer science; MIMO; Telecommunications link; Topology (electrical circuits); Electronic engineering; Computer network; Engineering; Channel (broadcasting); Electrical engineering","score_opus":0.021836319570565227,"score_gpt":0.2619754429194899,"score_spread":0.24013912334892465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183400766","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":[0.008007271,0.0013471675,0.9872795,0.000025585116,0.0020752451,0.0006168019,0.00009799697,0.00034427937,0.00020616631],"genre_scores_gemma":[0.9904947,0.0003739683,0.007962813,0.000023146355,0.00009312266,0.00016789317,0.0000148702675,0.00009191781,0.0007775672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986187,0.00012328367,0.00037328794,0.00037478656,0.00014341045,0.00036653326],"domain_scores_gemma":[0.9992878,0.00011262374,0.000063789856,0.0002881434,0.000115553485,0.00013213178],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022100746,0.00024536808,0.00038113922,0.00011928595,0.00032044604,0.00009205159,0.00006456237,0.00021867006,0.00001676926],"category_scores_gemma":[0.000016801472,0.0002588224,0.0001442601,0.00024752767,0.000025017405,0.0001921226,9.1883163e-7,0.0001366662,0.0000018099379],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009562205,0.000022586166,0.000004953567,0.0003351788,0.00011256035,0.0000043644927,0.00045593732,0.8130368,0.16925627,0.000062443745,0.000016291626,0.016683064],"study_design_scores_gemma":[0.0017470709,0.00006591424,0.000015869346,0.00027285767,0.00019403918,0.0002450308,0.005170991,0.76735306,0.2127235,0.000034698256,0.011625544,0.0005514042],"about_ca_topic_score_codex":0.000024724157,"about_ca_topic_score_gemma":0.000114215196,"teacher_disagreement_score":0.98248744,"about_ca_system_score_codex":0.0001867697,"about_ca_system_score_gemma":0.000035871595,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W3183919922","doi":"10.1109/access.2021.3100085","title":"Crowdsensing-Assisted Path Loss Estimation and Management of Dynamic Coverage in 3D Wireless Networks With Dense Small Cells","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Path loss; Crowdsensing; Computer network; Wireless network; Wireless; Estimation; Path (computing); Telecommunications; Computer security; Engineering","score_opus":0.00800493149466009,"score_gpt":0.22558697448099738,"score_spread":0.2175820429863373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183919922","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":[0.45351303,0.00011293694,0.54595387,0.000002647778,0.0001234271,0.00014160086,0.0000025829254,0.00004143373,0.00010845493],"genre_scores_gemma":[0.9813419,0.00037922803,0.01815247,0.000008973963,0.000009415066,0.000012868778,0.00002110378,0.000035286168,0.000038729882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929905,0.000026610458,0.00024529698,0.00018827096,0.000081212755,0.00015958457],"domain_scores_gemma":[0.9995991,0.000033588258,0.00007368566,0.00020147923,0.00006035761,0.000031818636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062792584,0.00013340022,0.0001957687,0.00006530318,0.000022956585,0.000057062825,0.000073860734,0.00006296647,0.0000020308148],"category_scores_gemma":[0.0000019201473,0.00014068103,0.000013182785,0.00032975187,0.000021481994,0.00023141688,0.000030385012,0.00008246956,7.647116e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016278544,0.000019744146,0.00073555217,0.0004970905,0.000031859046,0.00019730852,0.00006256431,0.9813244,0.0011390994,0.00001379966,0.000004759874,0.01595758],"study_design_scores_gemma":[0.0006294729,0.000009695173,0.0071178484,0.0005305024,0.000025396614,0.000023257571,0.000025192738,0.9872732,0.004187406,0.000016106198,0.0000029719513,0.00015896175],"about_ca_topic_score_codex":0.00001879932,"about_ca_topic_score_gemma":0.00028930433,"teacher_disagreement_score":0.5278289,"about_ca_system_score_codex":0.00008624411,"about_ca_system_score_gemma":0.000008844791,"threshold_uncertainty_score":0.5736806},"labels":[],"label_agreement":null},{"id":"W3184960501","doi":"10.21203/rs.3.rs-728511/v1","title":"A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications with Applications in COVID-19 Patient Information Management","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Pairing; Computer science; Fuzzy logic; Stability (learning theory); Mathematical optimization; Transmitter; Metric (unit); Set (abstract data type); Channel (broadcasting); Selection (genetic algorithm); Resource allocation; Computer network; Mathematics; Artificial intelligence; Engineering; Machine learning; Physics","score_opus":0.05514399297034183,"score_gpt":0.3666475984364672,"score_spread":0.3115036054661254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184960501","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":[0.0012863894,0.0012490299,0.9890806,0.00043611357,0.000016663178,0.006077632,0.0000645669,0.00013659992,0.0016524069],"genre_scores_gemma":[0.457507,0.0017849694,0.5190564,0.00004070891,0.000019860578,0.018447228,0.0030388176,0.000072613744,0.0000324222],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979765,0.00034409782,0.00060306845,0.00033489565,0.00036011686,0.00038131425],"domain_scores_gemma":[0.99795836,0.00040961418,0.00011306804,0.0010777281,0.00030426006,0.00013696693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016267688,0.00020412219,0.00029222813,0.0010044372,0.00017640488,0.00021834542,0.0002916642,0.00017522766,0.0000026195926],"category_scores_gemma":[0.0001210544,0.00022336828,0.0000334002,0.0008785038,0.00004953697,0.00043318496,0.0006565984,0.0006041077,0.0000012736837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022492777,0.00005768973,0.0003655911,0.0058575007,0.00003294291,0.0000015121785,0.0052908226,0.95748633,0.000031721236,0.0018658218,0.00010383431,0.028883755],"study_design_scores_gemma":[0.0011731214,0.00006527475,0.00055281626,0.0023912413,0.000018410808,0.0000038141195,0.03258893,0.9407059,0.00015991526,0.0020496284,0.01985723,0.00043371654],"about_ca_topic_score_codex":0.00040279832,"about_ca_topic_score_gemma":0.0016948754,"teacher_disagreement_score":0.47002423,"about_ca_system_score_codex":0.0014866664,"about_ca_system_score_gemma":0.00016544852,"threshold_uncertainty_score":0.91086936},"labels":[],"label_agreement":null},{"id":"W3184976846","doi":"10.1109/tgcn.2021.3100358","title":"Centralized and Distributed Algorithms for Energy and Spectrum Efficient User Association in Small Cell Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Backhaul (telecommunications); Computer science; Base station; Efficient energy use; Spectral efficiency; Macro; Small cell; Energy consumption; Maximization; Computer network; User equipment; Distributed computing; Cellular network; Algorithm; Engineering; Mathematical optimization; Electrical engineering; Mathematics","score_opus":0.015430003334220302,"score_gpt":0.21760168766825816,"score_spread":0.20217168433403787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184976846","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":[0.004541123,0.0045978916,0.9900694,0.00021154477,0.00019862843,0.0002061181,0.00004190793,0.000079142665,0.000054251053],"genre_scores_gemma":[0.97810274,0.012378754,0.009152279,0.0000314675,0.00004619257,0.00009382792,0.000067567664,0.000030291178,0.000096897005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992033,0.00007774324,0.00025944615,0.00018197662,0.000043305477,0.00023419135],"domain_scores_gemma":[0.99918604,0.00034654178,0.000060464725,0.00030349765,0.00004181274,0.0000616705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014825421,0.00013828509,0.00018599123,0.00007123354,0.00024856956,0.000059047707,0.00007744152,0.00011778725,0.0000017913908],"category_scores_gemma":[8.123787e-7,0.00016452034,0.000031196898,0.0002841677,0.000026118752,0.000062334,0.0000064370674,0.00016410972,1.01020746e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014376511,0.00007909897,0.0004893343,0.00003998338,0.00005256546,0.0000010356013,0.00021052785,0.92510974,0.00016582836,0.00008647594,0.000025838977,0.07372521],"study_design_scores_gemma":[0.00078072085,0.000017587656,0.000100078985,0.00008153666,0.000039815623,0.0000048046154,0.00006895581,0.99523175,0.00031825138,0.00007423595,0.0031202282,0.00016202277],"about_ca_topic_score_codex":0.00010944131,"about_ca_topic_score_gemma":0.0022233226,"teacher_disagreement_score":0.9809171,"about_ca_system_score_codex":0.00012728103,"about_ca_system_score_gemma":0.000009831474,"threshold_uncertainty_score":0.6708945},"labels":[],"label_agreement":null},{"id":"W3186948062","doi":"10.1109/lwc.2022.3165194","title":"Fast First-Order Algorithm for Large-Scale Max-Min Fair Multi-Group Multicast Beamforming","year":2022,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multicast; Beamforming; Subgradient method; Mathematical optimization; Computer science; Computational complexity theory; Algorithm; Optimization problem; Mathematics; Distributed computing; Telecommunications","score_opus":0.01636819332469828,"score_gpt":0.2469705793853637,"score_spread":0.23060238606066544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186948062","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":[0.007359805,0.00020940282,0.9889776,0.0007701529,0.00054300076,0.0010323124,0.0004341804,0.0005936821,0.00007985861],"genre_scores_gemma":[0.36108443,0.00007015037,0.6349503,0.00033254357,0.000093328956,0.0026302484,0.00054142135,0.00016573399,0.00013186753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984985,0.00008743431,0.00044793787,0.00029218767,0.00018613685,0.00048782516],"domain_scores_gemma":[0.99788123,0.00025730437,0.00012338406,0.0015691996,0.00008252969,0.00008634012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002527117,0.00027574252,0.0003002346,0.00021330813,0.0011317014,0.000050905826,0.0010903359,0.00006151724,0.000016098104],"category_scores_gemma":[0.000014049467,0.00034752084,0.00012145736,0.0004899487,0.00007264141,0.0003314435,0.0002986229,0.00042855486,0.000016876582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051545835,0.00025000807,0.000090719055,0.00007675653,0.00007545057,0.0000016643529,0.00432039,0.9592874,0.015466161,0.00009758057,0.0010617364,0.019267002],"study_design_scores_gemma":[0.0011019001,0.000019955121,0.000019528181,0.000030320502,0.000027860204,0.000013259122,0.0020164312,0.9692743,0.00043717888,0.000003953525,0.026680663,0.00037465146],"about_ca_topic_score_codex":0.000037042308,"about_ca_topic_score_gemma":0.0002604804,"teacher_disagreement_score":0.35402733,"about_ca_system_score_codex":0.00039593017,"about_ca_system_score_gemma":0.0000133178755,"threshold_uncertainty_score":0.99989766},"labels":[],"label_agreement":null},{"id":"W3187132557","doi":"10.1109/ojcoms.2021.3101747","title":"Energy-Efficient MU-Massive-MIMO Hybrid Precoder Design: Low-Resolution Phase Shifters and Digital-to-Analog Converters for 2D Antenna Array Structures","year":2021,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Baseband; Electronic engineering; MIMO; Precoding; Beamforming; Quantization (signal processing); Converters; Computer science; Antenna array; Radio frequency; Algorithm; Topology (electrical circuits); Engineering; Antenna (radio); Electrical engineering; Telecommunications; CMOS","score_opus":0.03419944643236272,"score_gpt":0.2874914305017645,"score_spread":0.2532919840694018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187132557","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":[0.0029811622,0.0011705414,0.99365866,0.001164675,0.00039257112,0.00038293668,0.00010232924,0.000021111213,0.00012599395],"genre_scores_gemma":[0.89712834,0.00043626718,0.101925604,0.00024698724,0.0000402685,0.000033149303,0.000018272098,0.0000366432,0.00013447001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890697,0.00014192515,0.0004864376,0.00014136481,0.00013653086,0.00018678498],"domain_scores_gemma":[0.9981311,0.00026594492,0.000272589,0.00076964794,0.000451138,0.000109561675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029083813,0.00015977476,0.000272064,0.00003312919,0.00034980383,0.0002737475,0.0010327485,0.000054355176,0.0000064459696],"category_scores_gemma":[0.0001016356,0.00013427172,0.00020873037,0.00023109399,0.000103338396,0.0004082218,0.00021145218,0.00020675428,8.8442124e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003880642,0.000115725314,0.000013888874,0.00003993358,0.00035834123,0.000001644485,0.0013831357,0.9410376,0.045403223,0.00014529856,0.007915486,0.0035469453],"study_design_scores_gemma":[0.0021659727,0.000063644824,0.00002826379,0.00027324804,0.00015125038,0.00017668665,0.0012111925,0.95175654,0.038161635,0.0011142585,0.0045976155,0.00029969186],"about_ca_topic_score_codex":0.0000027215447,"about_ca_topic_score_gemma":0.0000047569392,"teacher_disagreement_score":0.89414716,"about_ca_system_score_codex":0.00019981296,"about_ca_system_score_gemma":0.00011846297,"threshold_uncertainty_score":0.5475441},"labels":[],"label_agreement":null},{"id":"W3187891137","doi":"10.1109/icc42927.2021.9500682","title":"Cooperative versus Non-Cooperative Han-Kobayashi Signaling: Outage Performance","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science","score_opus":0.01538242610992948,"score_gpt":0.235762290681422,"score_spread":0.2203798645714925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187891137","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":[0.13499112,0.00036520167,0.7744007,0.0000459173,0.0014958458,0.00037625554,0.000015985113,0.00062481134,0.08768416],"genre_scores_gemma":[0.98376614,0.00009524504,0.011007759,0.000046326964,0.00013874778,0.00004610801,0.00006179833,0.000054522166,0.0047833333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903923,0.000027592143,0.00026582179,0.00026121747,0.00012739416,0.00027873743],"domain_scores_gemma":[0.99935967,0.00007230121,0.00002664804,0.0002495975,0.0002079311,0.00008384406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068844296,0.0002248807,0.00024259882,0.000047635356,0.00012022028,0.000069780064,0.000101695354,0.00009324544,0.00037942646],"category_scores_gemma":[0.000059643215,0.00022081702,0.000041429277,0.0003589727,0.000029173056,0.0004754675,0.00003610302,0.00017701725,0.00027464138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021188767,0.000015944492,0.000060939783,0.000038827584,0.00006553435,0.000018228719,0.0008382069,0.96632516,0.03120353,0.00023729166,0.00049771706,0.0006774184],"study_design_scores_gemma":[0.0013482046,0.00009143083,0.00003952523,0.00006365251,0.000017830798,0.000008897413,0.0012506801,0.5461355,0.44876182,0.0000026304272,0.0018656506,0.00041420237],"about_ca_topic_score_codex":0.0000036326933,"about_ca_topic_score_gemma":0.000042263222,"teacher_disagreement_score":0.848775,"about_ca_system_score_codex":0.00013939872,"about_ca_system_score_gemma":0.000060404596,"threshold_uncertainty_score":0.90046567},"labels":[],"label_agreement":null},{"id":"W3187967403","doi":"10.1109/acmi53878.2021.9528218","title":"Configuring Antenna System to Enhance the Downlink Performance of High Velocity Users in 5G MU-MIMO Networks","year":2021,"lang":"en","type":"article","venue":"2021 International Conference on Automation, Control and Mechatronics for Industry 4.0 (ACMI)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Antenna (radio); MIMO; Transmission (telecommunications); Cellular network; Channel (broadcasting); Channel state information; Multiplexing; Diversity gain","score_opus":0.009654101916072542,"score_gpt":0.24154839500016353,"score_spread":0.23189429308409099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187967403","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":[0.4309062,0.0002752035,0.56303954,0.0012949504,0.0016975083,0.001086447,0.00022083023,0.00016780745,0.0013115221],"genre_scores_gemma":[0.9979009,0.00014754852,0.0012051128,0.00007872421,0.00016316478,0.00022146797,0.000097558695,0.000027317228,0.00015817933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850357,0.000057116988,0.00059748645,0.00031581742,0.00023839517,0.00028764314],"domain_scores_gemma":[0.99878097,0.00014157282,0.00018774075,0.00026452707,0.0005486295,0.00007654212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039018726,0.00022462758,0.00033803933,0.00013257947,0.00009316826,0.00008181643,0.0002746431,0.00026341528,0.000046574074],"category_scores_gemma":[0.00012135073,0.00020959873,0.00005753418,0.00023215909,0.00003218678,0.00023757717,0.000033953766,0.0004170605,0.0000052896894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009811747,0.00002972968,0.00051169045,0.00016662314,0.00014421802,0.0000028289155,0.00022188379,0.84297097,0.0045002894,0.14241564,0.00006127672,0.00887675],"study_design_scores_gemma":[0.00092316716,0.00006330497,0.0013912839,0.0005801149,0.000020885767,0.000008549421,0.00061619055,0.99220663,0.0035958742,0.00013437492,0.0002522541,0.00020736686],"about_ca_topic_score_codex":0.000043998756,"about_ca_topic_score_gemma":0.000114692266,"teacher_disagreement_score":0.5669947,"about_ca_system_score_codex":0.0002734638,"about_ca_system_score_gemma":0.00015329655,"threshold_uncertainty_score":0.8547188},"labels":[],"label_agreement":null},{"id":"W3188476661","doi":"10.1109/tcomm.2021.3102641","title":"A Unified MIMO Optimization Framework Relying on the KKT Conditions","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Engineering and Physical Sciences Research Council; European Research Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Karush–Kuhn–Tucker conditions; Mathematics; MIMO; Weighting; Mathematical optimization; Covariance matrix; Covariance; Applied mathematics; Topology (electrical circuits); Algorithm; Beamforming; Combinatorics","score_opus":0.03432338657052311,"score_gpt":0.27284112252192116,"score_spread":0.23851773595139805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3188476661","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":[0.00021201077,0.00020963122,0.98391175,0.002573618,0.00051738136,0.00038973682,0.00010041845,0.00062790734,0.011457515],"genre_scores_gemma":[0.9337112,0.0011512644,0.06360902,0.000335845,0.000032934484,0.00045418984,0.000088925444,0.00007554562,0.00054111786],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882776,0.00021242356,0.00036963468,0.00020948307,0.00016100616,0.00021971468],"domain_scores_gemma":[0.9963159,0.0011179836,0.00006487093,0.0022346433,0.00019273478,0.00007384504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012994767,0.00020420342,0.00016932191,0.00014668322,0.0009781295,0.000085324114,0.0005009709,0.00015697365,0.00032284376],"category_scores_gemma":[0.000057996847,0.00019999138,0.00011509296,0.00091723097,0.00010768521,0.0002083551,0.0000047627314,0.0007105835,0.0001518645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035713686,0.00011170315,7.913967e-7,0.000010162696,0.00006820884,0.0000010148816,0.00032807412,0.9868627,0.0007816226,0.0109780645,0.00037181893,0.00048224698],"study_design_scores_gemma":[0.0003357272,0.00003660097,0.000013511053,0.00034783297,0.000102662234,0.000023093946,0.0009359987,0.97971064,0.012332941,0.0022446818,0.0035088402,0.0004074871],"about_ca_topic_score_codex":0.00000741478,"about_ca_topic_score_gemma":0.000059685044,"teacher_disagreement_score":0.93349916,"about_ca_system_score_codex":0.00017663183,"about_ca_system_score_gemma":0.00005397549,"threshold_uncertainty_score":0.81554115},"labels":[],"label_agreement":null},{"id":"W3189410209","doi":"10.1109/icc42927.2021.9500506","title":"Downlink Performance of Limited-Fronthaul Cell-Free Massive MIMO","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Precoding; Beamforming; MIMO; Computer science; Zero-forcing precoding; Computer network; Electronic engineering; Engineering; Telecommunications","score_opus":0.005807849633947697,"score_gpt":0.1841675426168136,"score_spread":0.1783596929828659,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189410209","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":[0.23258582,0.0023311307,0.5480846,0.00013380666,0.0011225555,0.00034768277,0.000041423427,0.0007330155,0.21461996],"genre_scores_gemma":[0.94411284,0.00028027743,0.052669935,0.000020426609,0.000059898393,0.000011668558,0.0000271143,0.00003281227,0.0027850592],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993531,0.000010407049,0.00024332714,0.00013124674,0.0000983447,0.000163591],"domain_scores_gemma":[0.99933636,0.000029408515,0.000039717223,0.00042892504,0.00012190927,0.000043689575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036035377,0.000113830574,0.00016591686,0.000049893908,0.000021329182,0.000008867947,0.00013549378,0.000073418974,0.00020571135],"category_scores_gemma":[0.000028678756,0.00011570922,0.0000407833,0.00020411215,0.000014474464,0.00018480574,0.000050404255,0.000085478125,0.00004581599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004535913,0.000021946385,0.0007977966,0.00030069987,0.000021677035,0.000007989236,0.00014081679,0.9668142,0.027043613,0.00018828022,0.0033630547,0.0012953933],"study_design_scores_gemma":[0.0006561743,0.000037732294,0.00041514676,0.000077213,0.000017833612,0.0000089424175,0.00024833996,0.4906,0.505335,0.000041862946,0.0023035381,0.00025824286],"about_ca_topic_score_codex":0.0000035479352,"about_ca_topic_score_gemma":0.000011429703,"teacher_disagreement_score":0.711527,"about_ca_system_score_codex":0.00004573816,"about_ca_system_score_gemma":0.000019274843,"threshold_uncertainty_score":0.4718485},"labels":[],"label_agreement":null},{"id":"W3190182925","doi":"10.1109/icc42927.2021.9500931","title":"Massive-MIMO Hybrid Precoder Design Using Few-Bit DACs for 2D Antenna Array Structures","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Precoding; MIMO; Electronic engineering; Antenna array; Beamforming; Baseband; Antenna (radio); Computer science; Topology (electrical circuits); Array gain; Energy (signal processing); Channel (broadcasting); Physics; Telecommunications; Engineering; Electrical engineering; Bandwidth (computing)","score_opus":0.029348589761372033,"score_gpt":0.2524190017858723,"score_spread":0.22307041202450026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190182925","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":[0.0011872443,0.00050600746,0.99542105,0.000034057688,0.0005647907,0.00037537963,0.000031871186,0.00033174356,0.0015478245],"genre_scores_gemma":[0.24632327,0.000037159665,0.7516277,0.00006905372,0.0001729109,0.000034089317,0.00005854843,0.000106806,0.0015704705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899524,0.000033745528,0.00028133116,0.0002818518,0.00009731481,0.00031050618],"domain_scores_gemma":[0.99929416,0.0000959092,0.000049311664,0.00028975023,0.00020088856,0.00006999486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066506815,0.00020439556,0.00023682501,0.000054162334,0.00008600233,0.0000660686,0.00008652386,0.00007589259,0.00017682412],"category_scores_gemma":[0.00010070248,0.00020837295,0.00006832488,0.00015012827,0.000014178722,0.00027135445,0.000019685629,0.00008986966,0.000008677373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006460669,0.0000056355743,0.00001798483,0.00009744603,0.00004709482,0.0000110830515,0.000052760206,0.80061644,0.19769245,0.0003096853,0.0006378966,0.00050507113],"study_design_scores_gemma":[0.00035750415,0.000009593249,0.000011023083,0.00003856715,0.000029394463,0.000058771322,0.00011495761,0.5812036,0.41489637,0.0018684388,0.0011579201,0.0002538633],"about_ca_topic_score_codex":0.000003035177,"about_ca_topic_score_gemma":0.000009902146,"teacher_disagreement_score":0.24513602,"about_ca_system_score_codex":0.000113617316,"about_ca_system_score_gemma":0.000058721824,"threshold_uncertainty_score":0.84972024},"labels":[],"label_agreement":null},{"id":"W3190696623","doi":"10.1109/icc42927.2021.9500953","title":"Unsupervised Deep Learning for Power Allocation in CRAN","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Deep learning; Computational complexity theory; Latency (audio); Distributed computing; Artificial intelligence; Cloud computing; Architecture; Cellular network; Algorithm; Computer network","score_opus":0.007987632785289939,"score_gpt":0.22040734425610625,"score_spread":0.2124197114708163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190696623","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":[0.011024269,0.00022182582,0.9818332,0.000038394355,0.00012645136,0.0001397051,2.582868e-7,0.00018753017,0.006428357],"genre_scores_gemma":[0.9690308,0.000022082857,0.030095363,0.00001915054,0.000018409854,0.00004047217,0.00003322475,0.00002487241,0.00071560935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996285,0.000010983509,0.00012856204,0.00009194512,0.000032904598,0.000107128166],"domain_scores_gemma":[0.9998092,0.000034418157,0.0000081029275,0.00007744811,0.000052308063,0.000018512535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005177127,0.000056387562,0.000074245574,0.000040789924,0.000017475179,0.000012397357,0.000026642467,0.000041453615,0.000086323336],"category_scores_gemma":[0.00006234601,0.00006433362,0.000017933819,0.00014405769,0.000002420711,0.00011906474,0.000005322078,0.000049552,0.000012176742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015506174,0.0000050723593,0.00038762105,0.000030273748,0.0000041533845,9.568602e-7,0.00026288893,0.9854948,0.0108799655,0.00055098056,0.00002416451,0.0023575544],"study_design_scores_gemma":[0.0004883197,0.000009357762,0.0005667729,0.000020992386,0.0000024653555,0.000002141895,0.0005484135,0.98557365,0.010258226,0.00011180115,0.002298771,0.0001191057],"about_ca_topic_score_codex":0.000003094692,"about_ca_topic_score_gemma":0.00009450622,"teacher_disagreement_score":0.95800656,"about_ca_system_score_codex":0.00005069208,"about_ca_system_score_gemma":0.0000061606793,"threshold_uncertainty_score":0.26234487},"labels":[],"label_agreement":null},{"id":"W3191282545","doi":"10.1109/iwcmc51323.2021.9498628","title":"Reliability and Availability Modeling Techniques in 6G IoT Networks: A Taxonomy and Survey","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cloud computing; Smart grid; Computer network; Wireless; Reliability (semiconductor); Edge computing; Wireless network; Distributed computing; Telecommunications; Engineering","score_opus":0.022014330843639206,"score_gpt":0.22485214015368146,"score_spread":0.20283780931004225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191282545","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":[0.20272478,0.00062164397,0.79544896,0.000007916833,0.00003083359,0.0002587276,0.0000023368048,0.00021126175,0.0006935072],"genre_scores_gemma":[0.92792225,0.000192532,0.071749315,0.000011959374,0.000015142696,0.000054197008,0.000008735099,0.0000148373365,0.00003106248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992364,0.00008070408,0.0002586075,0.00024892145,0.000035629524,0.00013974002],"domain_scores_gemma":[0.99954486,0.00010522666,0.000013660533,0.00021811583,0.00007474051,0.00004339622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057477265,0.0001045668,0.00017769438,0.00003205872,0.000021519874,0.00002531196,0.000029172943,0.00008693832,0.000012424833],"category_scores_gemma":[0.00016623734,0.00010915325,0.000010186815,0.00017421551,0.00002169972,0.00013119543,0.000042817333,0.000116293115,4.5587268e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037037041,0.000008775673,0.03916808,0.000062807005,0.0000027837887,0.0000010645795,0.00002522839,0.9581036,0.00016077851,0.000020663749,0.000027767033,0.0024147595],"study_design_scores_gemma":[0.00009713861,0.00000463694,0.003620365,0.000027968852,0.0000016591838,0.0000031699915,0.000036345893,0.9954274,0.00044784002,0.00011564389,0.00009904194,0.00011878487],"about_ca_topic_score_codex":0.00023399646,"about_ca_topic_score_gemma":0.0012649649,"teacher_disagreement_score":0.72519743,"about_ca_system_score_codex":0.00006910693,"about_ca_system_score_gemma":0.0000119059305,"threshold_uncertainty_score":0.44511402},"labels":[],"label_agreement":null},{"id":"W3192075659","doi":"10.1109/icc42927.2021.9500938","title":"Ergodic Secrecy Rate Analysis of Ultra-Dense Networks with Multiple Antennas","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Secrecy; Stochastic geometry; Telecommunications link; Computer science; Ergodic theory; Physical layer; Computer network; Wireless; Topology (electrical circuits); Mathematics; Telecommunications; Computer security; Statistics","score_opus":0.006207084969038073,"score_gpt":0.19713666062872862,"score_spread":0.19092957565969054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192075659","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":[0.052055497,0.0003471683,0.9453747,0.0000059834088,0.00007610009,0.00007741966,0.0000065288996,0.00017969756,0.0018768953],"genre_scores_gemma":[0.9875692,0.00014070413,0.011589137,0.000017302973,0.000023103283,0.000008000307,0.000078877674,0.000028916853,0.0005447497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933875,0.00003201273,0.0002354426,0.00015932425,0.0000700311,0.00016446861],"domain_scores_gemma":[0.99939996,0.0000959214,0.000042424937,0.0002710098,0.00013856847,0.000052125593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007335623,0.0001186521,0.0002947828,0.0001276461,0.000021587446,0.000013397372,0.000051726962,0.000056298974,0.00011942719],"category_scores_gemma":[0.000034673736,0.00010397525,0.00007028125,0.001333189,0.000016954244,0.000106780324,0.000007218916,0.000072308314,0.0000035824185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009419494,0.000010332502,0.0071190884,0.000022718637,0.00053068163,0.000014913199,0.00007644926,0.98021746,0.011736955,0.000060896837,0.000034495795,0.00016658109],"study_design_scores_gemma":[0.00030627908,0.000011102645,0.002620708,0.000027361184,0.00026423912,0.0000054249385,0.00018258997,0.9848571,0.011541762,0.000002944261,0.000040031788,0.00014047092],"about_ca_topic_score_codex":0.00003210875,"about_ca_topic_score_gemma":0.0007993484,"teacher_disagreement_score":0.93551373,"about_ca_system_score_codex":0.00002969301,"about_ca_system_score_gemma":0.000011818669,"threshold_uncertainty_score":0.42399877},"labels":[],"label_agreement":null},{"id":"W3195410378","doi":"10.1109/twc.2021.3104456","title":"Downlink Resource Allocation in Multiuser Cell-Free MIMO Networks With User-Centric Clustering","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Beamforming; Channel state information; Scheduling (production processes); MIMO; Mathematical optimization; Cluster analysis; Telecommunications link; Proportionally fair; Overhead (engineering); Spectral efficiency; Distributed computing; Round-robin scheduling; Dynamic priority scheduling; Computer network; Wireless; Mathematics; Telecommunications","score_opus":0.01253673229555786,"score_gpt":0.2217329872970556,"score_spread":0.20919625500149774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195410378","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":[0.005469288,0.00069176947,0.9913414,0.00031422256,0.00017636518,0.00042423749,0.000024578289,0.0004425641,0.0011155544],"genre_scores_gemma":[0.95914274,0.0015378055,0.03848083,0.00005848243,0.00002387658,0.00027994943,0.00007903418,0.00009690463,0.00030038838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998587,0.00015854901,0.00047428385,0.00028968928,0.00016247475,0.00032800145],"domain_scores_gemma":[0.99703896,0.00025016116,0.000078546625,0.0023965642,0.00013963037,0.00009615282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012440945,0.00025430764,0.00025528358,0.00026491092,0.0002744051,0.00006341016,0.0006752581,0.00017177101,0.000020858146],"category_scores_gemma":[0.0000060241755,0.00029048696,0.00006713409,0.001194403,0.000065529115,0.00031359142,0.000013111641,0.00064277597,0.000018255612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001661245,0.00021209812,0.000058366008,0.000045340807,0.000030005778,0.0000041441326,0.0003804075,0.9923243,0.0009510488,0.00004278272,0.00006566632,0.005869255],"study_design_scores_gemma":[0.0013384408,0.000022549684,0.00011460407,0.00023917804,0.000038840313,0.000017594875,0.00041533593,0.9898017,0.0060670543,0.0000052206337,0.0015905576,0.0003489331],"about_ca_topic_score_codex":0.000054585096,"about_ca_topic_score_gemma":0.0033757275,"teacher_disagreement_score":0.9536734,"about_ca_system_score_codex":0.0003069051,"about_ca_system_score_gemma":0.00004771977,"threshold_uncertainty_score":0.9999547},"labels":[],"label_agreement":null},{"id":"W3195611087","doi":"10.1109/comst.2021.3104581","title":"Stochastic Geometry Analysis of Spatial-Temporal Performance in Wireless Networks: A Tutorial","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Alberta","funders":"","keywords":"Stochastic geometry; Computer science; Spatial correlation; Wireless network; Stochastic geometry models of wireless networks; Context (archaeology); Wireless; Queueing theory; Retransmission; Spatial contextual awareness; Spatial multiplexing; Topology (electrical circuits); Distributed computing; Radio resource management; Computer network; Channel (broadcasting); MIMO; Telecommunications; Geography; Mathematics; Artificial intelligence; Statistics","score_opus":0.024387780000900187,"score_gpt":0.2665297723978491,"score_spread":0.2421419923969489,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195611087","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":[0.16828457,0.0010997514,0.8256194,0.000013964921,0.004145071,0.00031363824,0.00008495938,0.00016523649,0.00027341713],"genre_scores_gemma":[0.9959131,0.00053011626,0.002419486,0.000002996903,0.00040457383,0.000094257266,0.00054881454,0.000046083635,0.000040611867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99716437,0.0010361017,0.0010439976,0.00024368308,0.00022310107,0.0002887749],"domain_scores_gemma":[0.99634224,0.0009635357,0.00024056947,0.0019827322,0.00040314253,0.000067751105],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002041756,0.00022090026,0.0007784721,0.00056214136,0.00009355316,0.00003899689,0.00063905894,0.0001847461,0.00003130772],"category_scores_gemma":[0.00030471274,0.0002686557,0.00013752324,0.0034271677,0.000102636666,0.00027876164,0.00012381496,0.00026752966,0.0000067560254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007292102,0.00007886698,0.011115892,0.00003443477,0.00033425994,0.0000010612389,0.00020054718,0.98478687,0.0014447926,0.00022492476,0.000021684824,0.0017493558],"study_design_scores_gemma":[0.0006122738,0.00001807586,0.025811741,0.00010782201,0.0002739346,0.000001600607,0.00007074686,0.9714584,0.0010194727,0.000018224868,0.0002671005,0.00034063304],"about_ca_topic_score_codex":0.0006942124,"about_ca_topic_score_gemma":0.004823125,"teacher_disagreement_score":0.8276285,"about_ca_system_score_codex":0.00023294044,"about_ca_system_score_gemma":0.000111538735,"threshold_uncertainty_score":0.9999766},"labels":[],"label_agreement":null},{"id":"W3196121166","doi":"10.1109/access.2021.3107430","title":"Deep Learning (DL) Based Joint Resource Allocation and RRH Association in 5G-Multi-Tier Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Sejong University","keywords":"Computer science; Quality of service; Resource allocation; Artificial neural network; Resource management (computing); Femtocell; Distributed computing; Artificial intelligence; Computer network; Association scheme; Deep learning; Cloud computing; Association (psychology); Base station","score_opus":0.015460977336518359,"score_gpt":0.24431893511255023,"score_spread":0.22885795777603188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196121166","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":[0.0421471,0.00060177065,0.95606285,0.0000605697,0.00029290264,0.00016365021,5.947734e-7,0.00017242158,0.0004981639],"genre_scores_gemma":[0.9965321,0.00007755618,0.0028976917,0.00005958794,0.00010765404,0.000037659836,0.000043207696,0.000038495775,0.00020608705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991675,0.00009118681,0.0002507054,0.00018847013,0.00010521638,0.00019691608],"domain_scores_gemma":[0.9995756,0.00008895957,0.00008546501,0.0001259056,0.000084031766,0.000040002153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002361818,0.00011094649,0.00015504383,0.00008720163,0.00005388648,0.00010395961,0.00006760422,0.00013550404,0.000011996692],"category_scores_gemma":[0.00015990433,0.00013561407,0.00002073265,0.00033857592,0.000005649152,0.00037793678,0.000016476053,0.00022771447,0.0000036528534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023422858,0.000009547297,0.012558072,0.000038451508,0.000009228822,0.0000043288424,0.00013325829,0.9811634,0.0012196742,0.000004441436,0.000071775416,0.004785507],"study_design_scores_gemma":[0.0004740916,0.000004160761,0.011297176,0.000066734436,0.000008158952,0.0000013255365,0.00006413614,0.983799,0.0035540976,0.0000074952186,0.0005801229,0.00014352998],"about_ca_topic_score_codex":0.000028013523,"about_ca_topic_score_gemma":0.0002455556,"teacher_disagreement_score":0.954385,"about_ca_system_score_codex":0.00028714028,"about_ca_system_score_gemma":0.000011817408,"threshold_uncertainty_score":0.55301815},"labels":[],"label_agreement":null},{"id":"W3197164486","doi":"10.1002/9781119675525.ch6","title":"Machine Learning for Resource Allocation in Mobile Broadband Networks","year":2021,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Wireless network; Radio resource management; Wireless; Resource allocation; Scalability; Computer network; Distributed computing; Wireless broadband; Multi-frequency network; Context (archaeology); Wireless WAN; Scheduling (production processes); Key distribution in wireless sensor networks; Telecommunications; Engineering","score_opus":0.0065459773451380905,"score_gpt":0.22026264404344603,"score_spread":0.21371666669830794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3197164486","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.9912846e-7,0.012064812,0.73063344,0.000002211619,0.00014782704,0.0005129037,0.0000024186654,0.00035879877,0.2562769],"genre_scores_gemma":[0.0022596223,0.001207563,0.01643268,0.000015415602,0.00041921195,0.00045310427,0.0013900294,0.00086240703,0.97695994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994059,0.000020255757,0.00018221534,0.00018483674,0.000045612353,0.0001611686],"domain_scores_gemma":[0.99972486,0.000037629256,0.00004839664,0.0001512891,0.000013117889,0.000024681656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006966715,0.0001629512,0.00022155164,0.00013567453,0.000013577999,0.00001590292,0.000059759852,0.0002412038,0.0005261065],"category_scores_gemma":[0.000017166529,0.00018000876,0.000032906744,0.00015070607,0.0000053147796,0.000021231444,0.000012786568,0.00017430198,0.000003729304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016102506,0.0000040365767,0.000034076802,0.00016937252,0.000015320697,7.5992716e-7,0.000024543784,0.970118,0.00002170118,0.000033613942,0.025345242,0.004231742],"study_design_scores_gemma":[0.00017058222,0.0000061529063,9.2773297e-7,0.00015363755,0.000003616571,8.349757e-7,0.000018904975,0.5228666,0.00001257405,0.0000015795173,0.47664848,0.000116070696],"about_ca_topic_score_codex":0.00004981622,"about_ca_topic_score_gemma":0.000575638,"teacher_disagreement_score":0.7206831,"about_ca_system_score_codex":0.00007120385,"about_ca_system_score_gemma":0.000005803624,"threshold_uncertainty_score":0.73405445},"labels":[],"label_agreement":null},{"id":"W3198312531","doi":"10.1109/tvt.2021.3109907","title":"On the Energy Efficiency of OFDMA Cellular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Subcarrier; Unavailability; Channel state information; Telecommunications link; Base station; Computer science; Transmitter power output; Orthogonal frequency-division multiple access; Mathematical optimization; Power control; Frequency-division multiple access; Power budget; Fractional programming; Cellular network; Robustness (evolution); Spectral efficiency; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Computer network; Power (physics); Wireless; Mathematics; Channel (broadcasting); Telecommunications; Engineering; Reliability engineering; Nonlinear programming; Transmitter","score_opus":0.0047899700959470135,"score_gpt":0.18069432339127614,"score_spread":0.17590435329532914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198312531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028982164,0.00076187204,0.9687858,0.00023268415,0.0004785061,0.00010160071,0.000006672728,0.00041598134,0.0002347238],"genre_scores_gemma":[0.9987408,0.00028738935,0.00066048617,0.000043168915,0.000015425705,0.00008750053,0.0000024172807,0.000038441496,0.00012437817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992116,0.000036065958,0.00024005865,0.00019747182,0.00010688686,0.00020791881],"domain_scores_gemma":[0.9992629,0.000082411054,0.00004192348,0.0005069009,0.0000826411,0.00002317287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056849552,0.0001516962,0.0001917892,0.00019857066,0.00009364981,0.00000646228,0.00017828414,0.0002720706,0.00007063044],"category_scores_gemma":[0.000007829754,0.00013058228,0.00008949705,0.0008668067,0.000084282634,0.000033199587,0.000001399609,0.00030926333,0.000009779619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030050455,0.000059078586,8.51674e-7,0.00001123193,0.000046197085,0.000012313537,0.000013180808,0.9315103,0.058650114,0.005186963,0.000034923523,0.0044718026],"study_design_scores_gemma":[0.00012967997,0.000038107642,3.7876796e-7,0.000044237553,0.000020151007,0.000009999763,0.00004573083,0.3798937,0.6190868,0.00030695388,0.00032968927,0.00009458213],"about_ca_topic_score_codex":0.0000040585646,"about_ca_topic_score_gemma":0.000012197095,"teacher_disagreement_score":0.9697586,"about_ca_system_score_codex":0.00005204441,"about_ca_system_score_gemma":0.000014919282,"threshold_uncertainty_score":0.5324991},"labels":[],"label_agreement":null},{"id":"W3198326787","doi":"10.1109/lcomm.2022.3169270","title":"Outage Analysis and Beamwidth Optimization for Positioning-Assisted Beamforming","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Beamwidth; Beamforming; Computer science; Antenna array; Antenna (radio); Power (physics); Transmitter power output; Channel (broadcasting); Algorithm; Mathematical optimization; Telecommunications; Mathematics","score_opus":0.01540506013230922,"score_gpt":0.2446476693891757,"score_spread":0.2292426092568665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198326787","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":[0.009397282,0.00025318985,0.9885906,0.0006929841,0.00012844516,0.00039203672,0.00008956839,0.00027668665,0.00017919422],"genre_scores_gemma":[0.685543,0.00007188484,0.31279406,0.00027394432,0.000019053328,0.00054922857,0.000682421,0.00003705485,0.00002935179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927396,0.00006368505,0.00027300706,0.00014560143,0.000089157504,0.00015460831],"domain_scores_gemma":[0.9989498,0.00014008966,0.000086311426,0.0007463927,0.00003844749,0.00003890953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017129428,0.00011468438,0.0001658324,0.00035489647,0.0007049494,0.00004885144,0.00033501277,0.000026533084,0.000017635855],"category_scores_gemma":[0.00001399795,0.00015058457,0.000074301744,0.0007551426,0.0000447934,0.00022528668,0.000090535075,0.00013977113,6.995095e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031149946,0.000014242866,0.00019484178,0.000018806497,0.00016728186,1.8089194e-7,0.00033945308,0.99287874,0.0052521955,0.00009104418,0.0002543679,0.0007857293],"study_design_scores_gemma":[0.00026457774,0.000013835082,0.00011180051,0.0000072550342,0.00022435482,0.000006651872,0.00019270385,0.99751496,0.00021242953,0.00001270444,0.0012635295,0.00017521787],"about_ca_topic_score_codex":0.000019932193,"about_ca_topic_score_gemma":0.00002468205,"teacher_disagreement_score":0.67614573,"about_ca_system_score_codex":0.00019899778,"about_ca_system_score_gemma":0.000008003606,"threshold_uncertainty_score":0.61406606},"labels":[],"label_agreement":null},{"id":"W3198602495","doi":"10.1109/tmc.2021.3107458","title":"Mobility Load Management in Cellular Networks: A Deep Reinforcement Learning Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Reinforcement learning; Cellular network; Load balancing (electrical power); Robustness (evolution); Distributed computing; Throughput; Cellular traffic; Telecommunications link; Computer network; Artificial intelligence; Wireless; Telecommunications","score_opus":0.008481284533606468,"score_gpt":0.21280502348375052,"score_spread":0.20432373895014405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198602495","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":[0.008137663,0.00040231206,0.9869426,0.0000017663925,0.0005276982,0.0005870046,3.5948435e-7,0.00042039584,0.0029802215],"genre_scores_gemma":[0.98131245,0.00012090907,0.018091915,0.0000118217495,0.000045422603,0.00015226433,0.000011126157,0.000049267324,0.00020481521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850225,0.000081412545,0.00047098807,0.00037698296,0.000194047,0.00037430777],"domain_scores_gemma":[0.99943006,0.000061540646,0.00004992075,0.00032773818,0.00006511758,0.000065606626],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027172707,0.0002217978,0.00024279051,0.00012553696,0.00015093402,0.000042947395,0.00011083264,0.000094389456,0.00003373208],"category_scores_gemma":[0.0000026411824,0.0002747774,0.00009038132,0.000634225,0.00001812267,0.00012411803,0.000004426741,0.00045138295,0.000014517861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006295945,0.00009091576,0.000011051098,0.00014705764,0.000046610443,0.000018503273,0.00039096762,0.96590215,0.00029009406,0.000013251028,0.0000030644835,0.03308004],"study_design_scores_gemma":[0.0005100388,0.000026613137,0.000010489391,0.000095621705,0.000019245012,0.0000071029945,0.0006216401,0.9950348,0.0033016186,0.0000053367576,0.00013098719,0.00023650093],"about_ca_topic_score_codex":0.000008961926,"about_ca_topic_score_gemma":0.000012845869,"teacher_disagreement_score":0.9731748,"about_ca_system_score_codex":0.00054129685,"about_ca_system_score_gemma":0.000015228492,"threshold_uncertainty_score":0.99997044},"labels":[],"label_agreement":null},{"id":"W3199320363","doi":"10.1109/tcomm.2021.3113948","title":"Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Reinforcement learning; Computer network; Scalability; Dynamic Source Routing; Bottleneck; Distributed computing; Wireless network; Physical layer; Static routing; Wireless Routing Protocol; Routing (electronic design automation); Routing protocol; Destination-Sequenced Distance Vector routing; Wireless ad hoc network; Network topology; Wireless; Artificial intelligence; Telecommunications","score_opus":0.03049595639539128,"score_gpt":0.29311828541247237,"score_spread":0.2626223290170811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199320363","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":[0.0029249107,0.0001385757,0.99459726,0.0002533724,0.000093613016,0.00025861958,0.0000026023495,0.00015311775,0.0015779051],"genre_scores_gemma":[0.9932768,0.00040792619,0.005734703,0.000017278113,0.000016545728,0.00022491593,0.0000169878,0.000030542236,0.00027430287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940044,0.00004242825,0.0002039309,0.0001295712,0.000055885386,0.0001677293],"domain_scores_gemma":[0.99917215,0.00023140333,0.000028820985,0.00048494732,0.00004408299,0.00003856605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007607451,0.000102821665,0.00013704393,0.00009124239,0.00024831586,0.000058832225,0.00018373618,0.000044504664,0.000012186618],"category_scores_gemma":[0.000011513097,0.00012497342,0.000040457213,0.00030721034,0.000026601168,0.00028790196,0.0000060304396,0.00026876168,0.0000056584813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003205201,0.000043802578,0.000025412675,0.000025951618,0.000017330807,2.437315e-7,0.00038296182,0.9953469,0.0014678985,0.00032466097,0.000004773321,0.0023568596],"study_design_scores_gemma":[0.00037073888,0.000015876532,0.000056963447,0.000059203445,0.000016892263,0.0000034592917,0.00023768003,0.9830782,0.015472307,0.00019819624,0.0003661973,0.00012430978],"about_ca_topic_score_codex":0.000021484513,"about_ca_topic_score_gemma":0.00044652517,"teacher_disagreement_score":0.9903519,"about_ca_system_score_codex":0.000115793126,"about_ca_system_score_gemma":0.000017744456,"threshold_uncertainty_score":0.5096268},"labels":[],"label_agreement":null},{"id":"W3199414267","doi":"10.1109/mwscas47672.2021.9531881","title":"Pilot and Data Power Allocation for Massive MIMO Systems with an Acceptable Complexity","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Base station; Telecommunications link; Spectral efficiency; MIMO; Computer science; Power control; Power (physics); Transmission (telecommunications); Power budget; Transmitter power output; Antenna (radio); Data transmission; Computer network; Electronic engineering; Real-time computing; Telecommunications; Engineering; Transmitter","score_opus":0.06614475206782301,"score_gpt":0.28870582173513976,"score_spread":0.22256106966731676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3199414267","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":[0.002565393,0.00036030912,0.99377304,0.000038786682,0.00020364282,0.0004464324,0.00010629033,0.00020148797,0.002304635],"genre_scores_gemma":[0.88103014,0.000016711165,0.117068745,0.000017133012,0.00005126147,0.00005209402,0.0009923809,0.000039123763,0.00073240965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939245,0.000017165607,0.00014256693,0.00024758515,0.00006335955,0.00013688026],"domain_scores_gemma":[0.99924546,0.00003487398,0.000028853196,0.00050046825,0.00013389537,0.00005645438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082309576,0.00010136295,0.00013734821,0.000024302539,0.000053954864,0.00008196725,0.00010919668,0.000024833587,0.00003792072],"category_scores_gemma":[0.000023662029,0.000092061215,0.000004927339,0.000095128045,0.000018051674,0.000680344,0.000041300307,0.000037548733,0.0000028031025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065982334,0.00008340469,0.0004453198,0.0005946009,0.00013275251,0.0000057037446,0.00023833405,0.96636593,0.008638126,0.01756469,0.0052028303,0.00066230865],"study_design_scores_gemma":[0.00064099004,0.00012517674,0.00017005332,0.000046556564,0.000019625635,0.00002071354,0.00092084694,0.9939056,0.0011727622,0.000081408754,0.0026935225,0.0002027412],"about_ca_topic_score_codex":0.000058804024,"about_ca_topic_score_gemma":0.000447337,"teacher_disagreement_score":0.87846476,"about_ca_system_score_codex":0.000035911995,"about_ca_system_score_gemma":0.000020626578,"threshold_uncertainty_score":0.37541473},"labels":[],"label_agreement":null},{"id":"W3200564414","doi":"10.1109/apwc52648.2021.9539866","title":"Massive-Beam MIMO for LEO/VLEO VHTS","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"MIMO; Precoding; Computer science; Electronic engineering; Coherence (philosophical gambling strategy); Array gain; Channel (broadcasting); Phased array; 3G MIMO; Beam (structure); Transmission (telecommunications); Array processing; Channel state information; Communications satellite; Telecommunications; Satellite; Wireless; Antenna array; Signal processing; Antenna (radio); Physics; Engineering; Optics; Aerospace engineering","score_opus":0.011215090100190577,"score_gpt":0.22838165064792199,"score_spread":0.2171665605477314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200564414","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":[0.0008321669,0.00030711666,0.9660947,0.00007791751,0.0004850653,0.00018072633,0.000007951174,0.00038068596,0.03163372],"genre_scores_gemma":[0.80381113,0.00006939032,0.17669989,0.00011715767,0.00033415417,0.00015022213,0.00009895234,0.00010064855,0.018618435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995304,0.0000043900427,0.00013682533,0.00012368364,0.000045820852,0.00015892154],"domain_scores_gemma":[0.9996691,0.000038917864,0.000013369238,0.00016544269,0.000072831,0.000040364917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028324606,0.00008620674,0.00010840889,0.000026910244,0.000030508218,0.000018675853,0.000046269528,0.00005366883,0.00012766398],"category_scores_gemma":[0.000028714332,0.0000893619,0.000040803636,0.00009448211,0.0000050583303,0.00012022561,0.000011228261,0.00003785843,0.000050139446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029398514,0.000012538323,0.000057265843,0.00013482873,0.00003587616,0.000007329352,0.000080261576,0.9556703,0.024482546,0.00608049,0.010780401,0.0026552028],"study_design_scores_gemma":[0.0013928794,0.000038048638,0.000102969876,0.000082524,0.000033607354,0.000024071984,0.00063043315,0.426298,0.44265264,0.0015672776,0.12652035,0.0006571843],"about_ca_topic_score_codex":0.0000016351561,"about_ca_topic_score_gemma":0.000020237701,"teacher_disagreement_score":0.802979,"about_ca_system_score_codex":0.000043410015,"about_ca_system_score_gemma":0.000012493991,"threshold_uncertainty_score":0.36440724},"labels":[],"label_agreement":null},{"id":"W3201041798","doi":"10.21203/rs.3.rs-787817/v1","title":"Robust and sparse Dual Tree Complex Wavelet Transform-based Twin Support Vector regression for dense 5G InH  Communications","year":2021,"lang":"en","type":"preprint","venue":"Research Square","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Complex wavelet transform; Dual (grammatical number); Computer science; Wavelet; Tree (set theory); Regression; Artificial intelligence; Pattern recognition (psychology); Wavelet transform; Mathematics; Discrete wavelet transform; Statistics; Combinatorics","score_opus":0.1567594593067752,"score_gpt":0.37610731433632877,"score_spread":0.21934785502955356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201041798","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":[0.026489554,0.004989395,0.94485885,0.0029122783,0.00067771313,0.01075073,0.0026313986,0.0011882795,0.005501823],"genre_scores_gemma":[0.90265983,0.0010862694,0.087321,0.000016496148,0.00017632314,0.0014585913,0.006708896,0.00019850027,0.00037411216],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973386,0.00036300372,0.0005655804,0.0005506564,0.00053375866,0.0006484002],"domain_scores_gemma":[0.9966501,0.00068156334,0.00008024142,0.0016047787,0.000732043,0.00025124848],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009680344,0.00037310025,0.0005576481,0.0004297487,0.00034248363,0.00020551344,0.0004941478,0.00044784014,0.00013009153],"category_scores_gemma":[0.0002965972,0.00038587916,0.0001595686,0.00037390832,0.00019910918,0.00016679728,0.00032689236,0.0012138861,0.000007913897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039354764,0.0005077521,0.00061626226,0.019124128,0.00037758495,0.0001470241,0.0053715413,0.9125017,0.011090941,0.0006353175,0.013859393,0.035374805],"study_design_scores_gemma":[0.0020242361,0.00019682376,0.0012297299,0.0024852196,0.000049063918,0.000022386777,0.0012017898,0.9778778,0.0033375714,0.00015199927,0.010719033,0.0007043716],"about_ca_topic_score_codex":0.00006915883,"about_ca_topic_score_gemma":0.0008438544,"teacher_disagreement_score":0.8761703,"about_ca_system_score_codex":0.00044685762,"about_ca_system_score_gemma":0.0003497378,"threshold_uncertainty_score":0.99985933},"labels":[],"label_agreement":null},{"id":"W3203092761","doi":"10.1109/tnsm.2022.3202200","title":"Planning 5G Networks for Rural Fixed Wireless Access","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Broadband; MIMO; Precoding; Limit (mathematics); Wireless network; Bandwidth (computing); Base station; Fixed point; Wireless; Topology (electrical circuits); Telecommunications; Mathematics; Channel (broadcasting); Electrical engineering; Engineering","score_opus":0.013716570309732076,"score_gpt":0.23438430392184176,"score_spread":0.22066773361210967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203092761","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":[0.0024186503,0.0001772068,0.99321026,0.000101489655,0.0014768435,0.00076552934,0.000014992335,0.00033201644,0.0015029873],"genre_scores_gemma":[0.99602914,0.00024422686,0.0017444324,0.00048866775,0.00011765062,0.0009896827,0.00003287355,0.00006121063,0.00029211305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913424,0.000027932634,0.00021653868,0.00019320239,0.00011147975,0.0003166005],"domain_scores_gemma":[0.9996417,0.000053090254,0.00003821705,0.0001901026,0.000020526628,0.000056337176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012208085,0.00017531442,0.00016552748,0.00008757254,0.00043635932,0.00006510387,0.00018694856,0.00003777632,0.00003074095],"category_scores_gemma":[8.2567524e-8,0.00020647803,0.00004519473,0.00041925712,0.000006607251,0.00015964555,0.0000060829093,0.00017722546,0.0000014219567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005749359,0.000019202576,0.000008327646,0.00014818512,0.00010242693,0.000003072314,0.00014459889,0.97823906,0.000006016724,0.00011559841,0.001142684,0.020013362],"study_design_scores_gemma":[0.0006384048,0.000043491,0.000040303756,0.000054825163,0.00006653832,0.0000035566723,0.00056815357,0.9928637,0.000016078538,0.00006870933,0.0054048444,0.00023137862],"about_ca_topic_score_codex":0.000010268709,"about_ca_topic_score_gemma":0.000033064876,"teacher_disagreement_score":0.9936105,"about_ca_system_score_codex":0.000088308356,"about_ca_system_score_gemma":0.0000029092055,"threshold_uncertainty_score":0.841993},"labels":[],"label_agreement":null},{"id":"W3203269860","doi":"10.1016/j.procs.2021.09.019","title":"Call Admission Control Optimization in 5G in Downlink Single-Cell MISO System","year":2021,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Telecommunications link; Computer network; Optimization problem; Mobile broadband; Beamforming; Cellular network; Power control; Latency (audio); Telecommunications; Power (physics); Wireless; Algorithm","score_opus":0.00661323708368825,"score_gpt":0.1940132497629637,"score_spread":0.18740001267927545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203269860","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":[0.009479378,0.00034453126,0.98799443,0.000039611747,0.0007113061,0.00030258248,0.000001876514,0.00024000694,0.0008862577],"genre_scores_gemma":[0.86048543,0.000012452953,0.13932408,0.0000343616,0.00008002574,0.000023870725,0.0000053275553,0.000018051538,0.000016396252],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856824,0.00003093981,0.00038974063,0.00041760024,0.00023792444,0.00035553562],"domain_scores_gemma":[0.9993626,0.000052016723,0.000058149464,0.00022614056,0.00018246807,0.00011863962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030478634,0.0001544036,0.0002133991,0.00027019606,0.00005021397,0.00010003116,0.00025860284,0.000075697775,0.0000032613139],"category_scores_gemma":[0.00006808122,0.00016485417,0.000020863032,0.0014204358,0.000039562605,0.00057452073,0.000047906975,0.00014012319,0.000009828312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028107459,0.000033944372,0.0007328872,0.00019026571,7.338592e-7,0.00002400924,0.0003201459,0.9883921,0.008311738,0.000034023844,0.000016635067,0.00194072],"study_design_scores_gemma":[0.0007251796,0.000018925753,0.00023010121,0.00026969187,0.0000018982739,0.00002411849,0.000031568463,0.99012226,0.008360571,0.0000056898025,0.000032790478,0.00017722939],"about_ca_topic_score_codex":0.0000070390065,"about_ca_topic_score_gemma":0.000018604842,"teacher_disagreement_score":0.85100603,"about_ca_system_score_codex":0.0004410337,"about_ca_system_score_gemma":0.000156879,"threshold_uncertainty_score":0.6722558},"labels":[],"label_agreement":null},{"id":"W3203938711","doi":"10.1109/twc.2022.3187790","title":"Deep Learning for Channel Sensing and Hybrid Precoding in TDD Massive MIMO OFDM Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Huawei Technologies","keywords":"Precoding; Telecommunications link; Computer science; Beamforming; Overhead (engineering); MIMO; Orthogonal frequency-division multiplexing; Channel (broadcasting); Duplex (building); Electronic engineering; MIMO-OFDM; Computer engineering; Artificial intelligence; Computer network; Telecommunications; Engineering","score_opus":0.02072971682453293,"score_gpt":0.2410849518821691,"score_spread":0.22035523505763618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203938711","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":[0.008387068,0.0007280825,0.98895025,0.00010714138,0.0004425075,0.00080807525,0.00004264318,0.000313441,0.00022079734],"genre_scores_gemma":[0.9938888,0.0005889974,0.004532117,0.000010375723,0.00001627687,0.0007246879,0.000039832892,0.00007445241,0.00012447452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988875,0.00018520946,0.00037193432,0.00020676063,0.00010384431,0.00024474505],"domain_scores_gemma":[0.99880034,0.0004303426,0.000085739484,0.0005684912,0.000059897502,0.00005516898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022258586,0.00017065888,0.0002359036,0.00032355456,0.00087046856,0.00004719122,0.00025579857,0.000046152312,0.0000047762423],"category_scores_gemma":[0.000007831539,0.00022818458,0.00005389692,0.00033320105,0.00004481686,0.00019480671,0.000009499024,0.000546795,0.0000021740823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010133973,0.000037597147,0.000005520664,0.000071738745,0.000031131316,8.488674e-7,0.0010170159,0.9860775,0.0012386983,0.00009293735,0.00000822582,0.011408672],"study_design_scores_gemma":[0.00047257674,0.00003908048,0.000006281364,0.000088671964,0.000023013105,0.000026583235,0.0023544934,0.9953389,0.00092541345,0.00003523312,0.00047297747,0.00021678534],"about_ca_topic_score_codex":0.00008216595,"about_ca_topic_score_gemma":0.00021130263,"teacher_disagreement_score":0.9855017,"about_ca_system_score_codex":0.000338336,"about_ca_system_score_gemma":0.00001664796,"threshold_uncertainty_score":0.93050975},"labels":[],"label_agreement":null},{"id":"W3204969604","doi":"10.1109/globecom46510.2021.9685775","title":"Downtime-Aware O-RAN VNF Deployment Strategy for Optimized Self-Healing in the O-Cloud","year":2021,"lang":"en","type":"preprint","venue":"2021 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Western University","funders":"","keywords":"Cloud computing; Downtime; Computer science; Software deployment; C-RAN; Radio access network; Vendor; Quality of service; Computer network; Cellular network; Distributed computing; Operating system; Base station","score_opus":0.05976391941826706,"score_gpt":0.31676998502528453,"score_spread":0.25700606560701744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204969604","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":[0.0048188483,0.0071458747,0.966675,0.0013355971,0.0021490522,0.004738686,0.0010394835,0.0008130829,0.011284401],"genre_scores_gemma":[0.8788584,0.006383316,0.110105544,0.0001058925,0.0001776557,0.0021253843,0.0021159023,0.00008798846,0.000039950908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99620134,0.0006709639,0.0013244862,0.000733146,0.00036667808,0.0007033606],"domain_scores_gemma":[0.99381167,0.00046674945,0.0003663049,0.004534477,0.00067512743,0.00014569014],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00078910997,0.0007254089,0.00094428135,0.00013825676,0.00036473363,0.00067300926,0.003435699,0.00060064386,0.00009466289],"category_scores_gemma":[0.0001100382,0.00073765725,0.00033055173,0.0007216433,0.000115791976,0.0002918075,0.0008104531,0.0012372069,0.000027805014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001681601,0.00022179555,0.00011297214,0.00040494945,0.00022939812,0.0000059221074,0.0010398603,0.98990846,0.00003943765,0.0029978217,0.0012671744,0.0037553764],"study_design_scores_gemma":[0.0014320625,0.000041232783,0.00013245006,0.00091378536,0.00022609528,0.000024243836,0.004676043,0.9862448,0.00009785331,0.0015582747,0.003628719,0.0010244648],"about_ca_topic_score_codex":0.0006416318,"about_ca_topic_score_gemma":0.0033287322,"teacher_disagreement_score":0.87403953,"about_ca_system_score_codex":0.0010461035,"about_ca_system_score_gemma":0.0006723541,"threshold_uncertainty_score":0.9995074},"labels":[],"label_agreement":null},{"id":"W3204993703","doi":"10.1109/tsp.2021.3118492","title":"Hybrid Analog and Digital Beamforming Design for Channel Estimation in Correlated Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Channel (broadcasting); Beamforming; Transmitter; Computer science; Precoding; Energy (signal processing); Radio frequency; Antenna (radio); Minimum mean square error; Antenna array; Telecommunications; Electronic engineering; Mathematics; Statistics; Engineering","score_opus":0.02984445476751844,"score_gpt":0.1627599430588513,"score_spread":0.13291548829133287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204993703","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":[0.07789912,0.0001383776,0.92108953,0.0000029922742,0.00018409615,0.00032339033,0.000021436894,0.0001201407,0.00022092494],"genre_scores_gemma":[0.9976624,0.000044105094,0.0019125208,0.000002497058,0.000013391056,0.0000030505362,0.000068061185,0.000023989629,0.00026993264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993909,0.000018915338,0.00014746211,0.00023641164,0.000022094659,0.00018423914],"domain_scores_gemma":[0.9995819,0.000107323845,0.000050778912,0.00012496853,0.00007831983,0.000056743487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006321722,0.00012429335,0.0001641902,0.00013762453,0.000053649892,0.000044442244,0.000056969366,0.00006491092,0.0000015036503],"category_scores_gemma":[0.000059401125,0.00016062036,0.000027459011,0.00029559215,0.00001867708,0.0006220153,0.000022376818,0.00007270637,0.0000049722635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014451797,0.000009137443,0.00018182985,0.00007367061,0.000023626437,0.000080309626,0.000076018776,0.99783385,0.00013184453,0.0013977988,0.000026394995,0.00015109386],"study_design_scores_gemma":[0.00062911754,0.000021683982,0.000030683863,0.00009652136,0.000020070358,0.000019060837,0.00032811664,0.9973032,0.00049016636,0.0008736768,0.000020046396,0.00016768365],"about_ca_topic_score_codex":0.000007346785,"about_ca_topic_score_gemma":0.0000045707197,"teacher_disagreement_score":0.9197633,"about_ca_system_score_codex":0.00016205435,"about_ca_system_score_gemma":0.000020632913,"threshold_uncertainty_score":0.65499085},"labels":[],"label_agreement":null},{"id":"W3205682784","doi":"10.1109/tcomm.2021.3096959","title":"Outage Performance Analysis of Widely Linear Receivers in Uplink Multi-User MIMO Systems","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"China Scholarship Council","keywords":"Telecommunications link; Diversity gain; Single antenna interference cancellation; Computer science; Coding gain; Dirty paper coding; MIMO; Base station; Array gain; Computer network; Fading; Automatic gain control; Spectral efficiency; Decoding methods; Topology (electrical circuits); Electronic engineering; Channel (broadcasting); Telecommunications; Precoding; Engineering; Antenna (radio); Antenna array; Electrical engineering; Amplifier","score_opus":0.032943870387021845,"score_gpt":0.2715823383833993,"score_spread":0.23863846799637745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205682784","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":[0.014520985,0.00052977697,0.9834169,0.000057950743,0.0002771111,0.00023276175,0.00008942048,0.00016853651,0.0007065132],"genre_scores_gemma":[0.9686392,0.0024175982,0.027963147,0.0000090420435,0.0000050869235,0.0001006047,0.000059390917,0.000032795026,0.0007731483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989407,0.000098959536,0.00052985945,0.00016659092,0.00010388739,0.00016000665],"domain_scores_gemma":[0.99806404,0.00018056462,0.000078626,0.0014417979,0.00018510941,0.000049842918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014144575,0.00014480784,0.00032784732,0.0005224854,0.00012075446,0.000015323858,0.00035662783,0.00010890612,0.000027717077],"category_scores_gemma":[0.000009341597,0.00017555739,0.00012609763,0.0020023433,0.000055326585,0.00023636392,0.0000036375436,0.00032023704,0.00002112201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039978927,0.00012705603,0.00031293402,0.000050396895,0.0002856943,6.8299016e-7,0.00047052812,0.9962034,0.0016966691,0.000045440887,0.00000771906,0.0007954748],"study_design_scores_gemma":[0.0003462862,0.000011078012,0.0005182581,0.00010104273,0.0002351883,0.0000018320344,0.00044642526,0.99313813,0.004378863,7.268807e-7,0.000665486,0.00015666614],"about_ca_topic_score_codex":0.00009666134,"about_ca_topic_score_gemma":0.0010219965,"teacher_disagreement_score":0.9554538,"about_ca_system_score_codex":0.00016843072,"about_ca_system_score_gemma":0.00003725016,"threshold_uncertainty_score":0.71590227},"labels":[],"label_agreement":null},{"id":"W3208539921","doi":"10.1109/twc.2021.3123500","title":"User Access Control in Open Radio Access Networks: A Federated Deep Reinforcement Learning Approach","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Project 211; National Key Research and Development Program of China; Ministry of Science and Technology; National Natural Science Foundation of China","keywords":"Computer science; Reinforcement learning; C-RAN; Computer network; Software deployment; User equipment; Scheme (mathematics); Base station; Interoperability; Radio access network; Throughput; Distributed computing; Wireless; Artificial intelligence; Operating system","score_opus":0.03154278563708589,"score_gpt":0.28902733621832266,"score_spread":0.25748455058123676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208539921","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":[0.0007234828,0.00036783263,0.9930024,0.00016404549,0.00023105693,0.0009774701,0.0000063019174,0.00035422694,0.0041731847],"genre_scores_gemma":[0.99218184,0.0017215625,0.0041230833,0.000111863024,0.000019821977,0.0012222861,0.00012734618,0.00008795547,0.0004042196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822617,0.00033520456,0.0006178443,0.00031768868,0.00014837687,0.00035472994],"domain_scores_gemma":[0.99806875,0.00025197034,0.000108196116,0.0012775307,0.00018864183,0.00010491702],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022807543,0.0002684933,0.00039939294,0.00021844279,0.0005851661,0.00069076446,0.0017289394,0.00016486328,0.00006324093],"category_scores_gemma":[0.000010045685,0.00032137416,0.00007976133,0.0012248628,0.000061071834,0.0014564074,0.00003930287,0.00083289365,0.000012146883],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022626597,0.00017443833,0.0001066523,0.000032771586,0.00010328425,0.0000023634423,0.00023406235,0.9946956,0.0002543402,0.0001795482,0.000043667635,0.0041506486],"study_design_scores_gemma":[0.0015238012,0.000014365649,0.000082791565,0.00012228488,0.000037372552,0.0000109404455,0.00024384841,0.996104,0.00105053,0.000010460398,0.0004799034,0.00031972222],"about_ca_topic_score_codex":0.00016905596,"about_ca_topic_score_gemma":0.001316002,"teacher_disagreement_score":0.99145836,"about_ca_system_score_codex":0.00036399235,"about_ca_system_score_gemma":0.00007982563,"threshold_uncertainty_score":0.9999238},"labels":[],"label_agreement":null},{"id":"W3208662849","doi":"10.1109/ccece53047.2021.9569043","title":"Learning-Assisted Access Management for Dense 3D Small Cell Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Aloha; Quality of service; Computer network; Random access; Prioritization; Resource allocation; Channel access method; Wireless network; Resource management (computing); Channel (broadcasting); Access network; Throughput; Wireless; Distributed computing; Telecommunications","score_opus":0.015208105707372787,"score_gpt":0.2316141396260974,"score_spread":0.2164060339187246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208662849","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":[0.0012247402,0.00024324353,0.96441114,0.000011389182,0.00035481792,0.00028232773,8.403709e-7,0.00043513905,0.03303637],"genre_scores_gemma":[0.7207344,0.0002892505,0.24103959,0.000087085384,0.00017268697,0.00021752754,0.00012741258,0.0001175001,0.037214514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993928,0.000015398347,0.00017189466,0.00016888602,0.00004382887,0.000207199],"domain_scores_gemma":[0.999654,0.00004255791,0.00002635832,0.00016705325,0.000066519024,0.00004352215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056599223,0.00011115811,0.00011833723,0.000038327595,0.000052296687,0.00006882993,0.00009507979,0.000060267186,0.00007006116],"category_scores_gemma":[0.000009165503,0.00012086206,0.00004131482,0.00017853161,0.0000040923255,0.00010092634,0.00005308516,0.00007684094,0.000012151536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034046664,0.000010557017,0.00011502947,0.00016947543,0.000026729325,0.000011145092,0.000020033216,0.99032027,0.00015258775,0.00013329551,0.0009411588,0.008096328],"study_design_scores_gemma":[0.0005149283,0.00001221204,0.0001871643,0.00002914823,0.00002969345,0.0000043915943,0.000115438015,0.98462623,0.0021471477,0.000019837296,0.012124409,0.00018937071],"about_ca_topic_score_codex":0.0000018873469,"about_ca_topic_score_gemma":0.000030392597,"teacher_disagreement_score":0.72337157,"about_ca_system_score_codex":0.000056822937,"about_ca_system_score_gemma":0.00000444967,"threshold_uncertainty_score":0.49286115},"labels":[],"label_agreement":null},{"id":"W3208857138","doi":"10.32920/ryerson.14661477.v1","title":"Geometric water-filling and radio resource management","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Computer science; Maximization; Communications system; Wireless; MIMO; Radio resource management; Throughput; Optimization problem; Resource management (computing); Resource allocation; Distributed computing; Minification; Mathematical optimization; Wireless network; Computer network; Telecommunications; Algorithm; Mathematics; Channel (broadcasting)","score_opus":0.009263814914088477,"score_gpt":0.19983973388277126,"score_spread":0.19057591896868278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208857138","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":[0.0070660203,0.0029816478,0.95898676,0.000016065485,0.00061489944,0.0003520389,0.0000027780284,0.0005631349,0.029416684],"genre_scores_gemma":[0.810052,0.0029656074,0.18024269,0.000029007004,0.00031818115,0.00012520015,0.00035677184,0.00017566794,0.005734909],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904346,0.000016587624,0.00026432617,0.00033407361,0.00011298523,0.0002285776],"domain_scores_gemma":[0.99948925,0.000017158804,0.000023747758,0.00038368936,0.000026377207,0.000059778213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012320136,0.00022099544,0.0002600846,0.0003577523,0.000034482244,0.00011508499,0.00011548322,0.00015968246,0.0000647306],"category_scores_gemma":[0.0000055602404,0.00019999032,0.000043586802,0.00018141695,0.000009025071,0.00006423897,0.00040600423,0.00024027085,0.000011234731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.9265025e-7,0.0000036427373,0.000022265918,0.0008963809,0.00008848952,0.000014878398,0.00016015451,0.99316996,0.0001002806,0.00004363989,0.0003061418,0.005193465],"study_design_scores_gemma":[0.001030457,0.000020636418,0.0002585363,0.0012767917,0.00024804033,0.00006741396,0.002147908,0.92730576,0.018609004,0.00029082003,0.046644233,0.002100407],"about_ca_topic_score_codex":0.000009107712,"about_ca_topic_score_gemma":0.0000023406917,"teacher_disagreement_score":0.80298597,"about_ca_system_score_codex":0.00011621099,"about_ca_system_score_gemma":0.0000023602931,"threshold_uncertainty_score":0.81553686},"labels":[],"label_agreement":null},{"id":"W3209237170","doi":"10.1016/j.comnet.2021.108567","title":"A survey on sleep mode techniques for ultra-dense networks in 5G and beyond","year":2021,"lang":"en","type":"article","venue":"Computer Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":76,"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":"Base station; Sleep mode; Computer science; Energy consumption; Carbon footprint; Sleep (system call); Efficient energy use; Mode (computer interface); Cellular network; Telecommunications; Power consumption; Computer network; Energy (signal processing); Power (physics); Electrical engineering; Human–computer interaction","score_opus":0.009876084007682475,"score_gpt":0.229342415917302,"score_spread":0.21946633190961953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209237170","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":[0.001469837,0.0013005565,0.99567986,0.000012857358,0.0006015835,0.00035924758,0.000009351865,0.00028518564,0.00028150075],"genre_scores_gemma":[0.95473355,0.0003062479,0.04392262,0.00017690571,0.00051665213,0.00007140306,0.00017370188,0.0000696667,0.00002927183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990511,0.00006649767,0.00026206518,0.00027828975,0.000051603096,0.00029047416],"domain_scores_gemma":[0.9992927,0.00030207718,0.00003389775,0.00024171334,0.00006836314,0.00006125192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001897424,0.00018463655,0.00026096884,0.00006505702,0.00003940537,0.000054445383,0.00008386317,0.00017474387,0.0000017148762],"category_scores_gemma":[0.000013262277,0.00020854437,0.00003473065,0.00023486541,0.000016314676,0.00009650648,0.000023031535,0.00020551041,6.1707135e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013085751,0.000013490168,0.0006104874,0.000020333091,0.000014921028,0.000009706453,0.000048806898,0.9533176,0.000012447655,0.00008945708,0.002649727,0.04319996],"study_design_scores_gemma":[0.00030806966,0.000037591624,0.0015143013,0.00009820876,0.0000045236984,0.000007666034,0.00000289481,0.99724054,0.00016935362,0.00009552844,0.00030968414,0.00021163863],"about_ca_topic_score_codex":0.000010847999,"about_ca_topic_score_gemma":0.00021224807,"teacher_disagreement_score":0.9532637,"about_ca_system_score_codex":0.000059181406,"about_ca_system_score_gemma":0.0000058736928,"threshold_uncertainty_score":0.8504192},"labels":[],"label_agreement":null},{"id":"W3209298344","doi":"10.1109/comst.2021.3123267","title":"Cell-Free Massive MIMO: A Survey","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":413,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scalability; Computer science; Software deployment; Exploit; Distributed computing; Systems design; Software engineering; Computer security; Operating system","score_opus":0.043034416300777284,"score_gpt":0.2791985271164162,"score_spread":0.2361641108156389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209298344","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":[0.014460297,0.012708165,0.91468674,0.00039993043,0.015347174,0.0012273877,0.0016424855,0.0019305907,0.0375972],"genre_scores_gemma":[0.9667282,0.0017484782,0.028302422,0.000027629165,0.00040773032,0.0001815035,0.0009679252,0.00013001142,0.0015060673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9954512,0.003030873,0.00068728306,0.00028044308,0.00021160873,0.00033855584],"domain_scores_gemma":[0.99244666,0.0018917908,0.00014758034,0.004667945,0.00072621024,0.00011978476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002635367,0.0002613817,0.00043372382,0.000108711014,0.00023582415,0.00010800792,0.0013715443,0.00018925591,0.000077669145],"category_scores_gemma":[0.0013672144,0.0003147055,0.00009358843,0.0008238868,0.00010393638,0.0003198625,0.00028708339,0.00028754424,0.00019897484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024447623,0.0008076609,0.010170174,0.0003817131,0.00060590147,0.000039866056,0.002575305,0.63001424,0.15267076,0.0033727551,0.19454369,0.0047935136],"study_design_scores_gemma":[0.014114065,0.00022777003,0.07398823,0.0009161409,0.0005607874,0.00011506145,0.0021272898,0.12982215,0.39383522,0.0076221544,0.36787546,0.0087956805],"about_ca_topic_score_codex":0.0003023667,"about_ca_topic_score_gemma":0.0018463874,"teacher_disagreement_score":0.95226794,"about_ca_system_score_codex":0.00021659929,"about_ca_system_score_gemma":0.00015279475,"threshold_uncertainty_score":0.9999305},"labels":[],"label_agreement":null},{"id":"W3209481679","doi":"10.1109/tvt.2021.3124312","title":"Performance Tradeoff of MVNOs in OFDMA-Based Virtualized Wireless Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Royal Academy of Engineering","keywords":"Orthogonal frequency-division multiple access; Computer science; Mathematical optimization; Base station; Optimization problem; Wireless network; Bandwidth (computing); Cellular network; Wireless; Computer network; Algorithm; Orthogonal frequency-division multiplexing; Telecommunications; Mathematics; Channel (broadcasting)","score_opus":0.00590782982744915,"score_gpt":0.19907751638448337,"score_spread":0.19316968655703423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209481679","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30008057,0.00023229205,0.69873816,0.000082314094,0.00030515302,0.00015912198,0.0000060551365,0.00035452232,0.000041825362],"genre_scores_gemma":[0.99659425,0.00035292984,0.0027839069,0.00002071078,0.000009336991,0.00015126569,0.000005631565,0.000047004494,0.00003497451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989996,0.000034192326,0.000388676,0.00022842907,0.00009980759,0.00024932588],"domain_scores_gemma":[0.999441,0.000040582523,0.00005078469,0.0003684677,0.0000697277,0.000029404722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006736895,0.00017557446,0.00033213847,0.00043395406,0.000041631927,0.0000047579388,0.00013980808,0.00038255993,0.00003494941],"category_scores_gemma":[0.000003658808,0.00020458688,0.000076027696,0.0011824961,0.00007463426,0.00008954583,8.7400946e-7,0.0004146404,0.000005357887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014564662,0.00008837744,0.000102802485,0.000077812656,0.000031022417,0.000016116344,0.000022976776,0.9520276,0.03007383,0.00004762857,0.0000046975797,0.017492535],"study_design_scores_gemma":[0.00066924485,0.000036622652,0.000028496828,0.00013288604,0.000016235923,0.0000103570355,0.000044713564,0.6659688,0.33288494,0.000008194525,0.00006999529,0.00012955639],"about_ca_topic_score_codex":0.000004243967,"about_ca_topic_score_gemma":0.000049305218,"teacher_disagreement_score":0.69651365,"about_ca_system_score_codex":0.000097174496,"about_ca_system_score_gemma":0.000033929737,"threshold_uncertainty_score":0.834281},"labels":[],"label_agreement":null},{"id":"W3210303814","doi":"10.1109/twc.2021.3122941","title":"Deep Reinforcement Learning-Based RAN Slicing for UL/DL Decoupled Cellular V2X","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Reinforcement learning; Cellular network; Telecommunications link; Computer network; Quality of service; Base station; Ran; Throughput; Slicing; Distributed computing; Wireless; Telecommunications; Artificial intelligence","score_opus":0.017893810049129114,"score_gpt":0.2479619839005147,"score_spread":0.23006817385138556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210303814","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":[0.0013818677,0.00036793257,0.9958949,0.00023060977,0.000343782,0.0006009977,0.0000107339465,0.00062150246,0.00054765417],"genre_scores_gemma":[0.97149765,0.00046101492,0.026454458,0.00006307152,0.00002568881,0.00072952727,0.00018604404,0.00009964124,0.00048288878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987112,0.000094987816,0.00049995515,0.00023606076,0.00015002007,0.0003077402],"domain_scores_gemma":[0.9975889,0.0005217201,0.00009051865,0.0014336634,0.00026164355,0.0001036064],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015401976,0.00024017533,0.00027782007,0.00017992886,0.00068108394,0.000058618338,0.00041566737,0.00013569245,0.00008291697],"category_scores_gemma":[0.000019369414,0.00030026297,0.00017687086,0.0004780981,0.000059070593,0.0001881742,0.0000037997934,0.0004207417,0.000029174207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012406251,0.00008536803,0.0000035433477,0.00007757242,0.00007188091,7.7109445e-7,0.00034288655,0.9798312,0.015746547,0.00015844566,0.000024270146,0.0036451125],"study_design_scores_gemma":[0.00090990413,0.000037347225,0.0000016747011,0.000110147404,0.00006864239,0.000002523397,0.00031151806,0.90240246,0.09425537,0.000019213108,0.0016141492,0.00026707057],"about_ca_topic_score_codex":0.000019711391,"about_ca_topic_score_gemma":0.0004340621,"teacher_disagreement_score":0.9701158,"about_ca_system_score_codex":0.00026112556,"about_ca_system_score_gemma":0.00007129539,"threshold_uncertainty_score":0.9999449},"labels":[],"label_agreement":null},{"id":"W3210489622","doi":"10.1155/2021/9194578","title":"A Hybrid Technique Based on a Genetic Algorithm for Fuzzy Multiobjective Problems in 5G, Internet of Things, and Mobile Edge Computing","year":2021,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Research Center for Informatics, Czech Technical University in Prague; Taif University; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Mobile edge computing; Mathematical optimization; Computer science; Fuzzy logic; Enhanced Data Rates for GSM Evolution; Relation (database); Domain (mathematical analysis); Genetic algorithm; Norm (philosophy); Field (mathematics); Mathematics; Artificial intelligence; Data mining","score_opus":0.006684891862565404,"score_gpt":0.21465562531112808,"score_spread":0.20797073344856268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210489622","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":[0.003592344,0.00028719284,0.9940028,0.000002505824,0.000062763575,0.0016257733,0.00000665002,0.00017935273,0.00024061883],"genre_scores_gemma":[0.6156048,0.00000646178,0.38373685,0.0000034829243,0.000011958325,0.0005694883,0.000006306997,0.00005473966,0.0000058927185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986869,0.000022016498,0.0006071351,0.00027802287,0.00010936091,0.00029657074],"domain_scores_gemma":[0.999335,0.00031390772,0.000059834307,0.00018602278,0.00005656133,0.000048681643],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032379548,0.00022982409,0.00042184544,0.0002504092,0.0000114117,0.000021406331,0.00009383623,0.00009870654,0.0000034055674],"category_scores_gemma":[0.00015268475,0.00025051745,0.00004649997,0.0002521503,0.000020252244,0.00010526903,0.00003916112,0.00025007056,8.8497e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011675698,0.000078127705,0.000022969507,0.0028948814,0.00001099148,0.000005848204,0.0009740241,0.985269,0.0052618813,0.00017228973,0.0000020101284,0.005306817],"study_design_scores_gemma":[0.0006462211,0.00006697712,0.00001734425,0.0025752399,0.000006290155,0.00002222953,0.00004082551,0.9783385,0.016186964,0.0018633412,0.000009722032,0.00022637974],"about_ca_topic_score_codex":0.000007731606,"about_ca_topic_score_gemma":0.0000015859873,"teacher_disagreement_score":0.61201245,"about_ca_system_score_codex":0.00016757316,"about_ca_system_score_gemma":0.000015205939,"threshold_uncertainty_score":0.9999947},"labels":[],"label_agreement":null},{"id":"W3210633935","doi":"10.1109/ccece53047.2021.9569058","title":"B5G: Intelligent Coexistence Model for Edge Network","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Quality of service; Sleep mode; Enhanced Data Rates for GSM Evolution; Energy consumption; Cloud computing; Server; Edge computing; Edge device; Computer network; Base station; Telecommunications; Engineering; Power (physics); Power consumption","score_opus":0.03212713491363004,"score_gpt":0.25601554280345873,"score_spread":0.2238884078898287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210633935","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":[0.00010369991,0.00057098723,0.9889621,0.000019201852,0.00037622693,0.00015998962,0.0000037940467,0.00025945593,0.009544523],"genre_scores_gemma":[0.46114883,0.00014208713,0.5287823,0.000106530024,0.00023281899,0.00009274724,0.000039365426,0.00005200482,0.009403313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952435,0.0000039915312,0.00015050052,0.00011474961,0.000037893285,0.00016850997],"domain_scores_gemma":[0.9996783,0.000033498345,0.000011870677,0.00016084813,0.00007685772,0.00003859458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043208605,0.00007714527,0.00009900205,0.000011167184,0.000030358024,0.000014988583,0.000052860883,0.00004109922,0.000025880048],"category_scores_gemma":[0.000021639526,0.00008101121,0.00003545771,0.00010271759,0.000005782351,0.00007682948,0.000016578786,0.000037413476,0.000018517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012586296,0.0000034042578,0.0000061769747,0.000039791423,0.000008310611,6.8134324e-7,0.0000972521,0.99039024,0.00028678327,0.004137961,0.004019607,0.0010085294],"study_design_scores_gemma":[0.00007277262,0.0000037089026,8.077215e-7,0.000019946514,0.0000045843867,0.0000028630216,0.00005216349,0.9924869,0.0033552237,0.00085989584,0.0030420767,0.000099085606],"about_ca_topic_score_codex":5.8796013e-7,"about_ca_topic_score_gemma":0.000020105264,"teacher_disagreement_score":0.46104515,"about_ca_system_score_codex":0.000047373735,"about_ca_system_score_gemma":0.000012624328,"threshold_uncertainty_score":0.33035412},"labels":[],"label_agreement":null},{"id":"W3211182027","doi":"10.1109/lwc.2021.3124298","title":"Multi-Pair Two-Way Massive MIMO DF Relaying Over Rician Fading Channels Under Imperfect CSI","year":2021,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Engineering and Physical Sciences Research Council; European Research Council; Southeast University; National Natural Science Foundation of China","keywords":"Rician fading; Relay; Computer science; MIMO; Fading; Channel state information; Context (archaeology); Channel (broadcasting); Spectral efficiency; Imperfect; Maximal-ratio combining; Topology (electrical circuits); Telecommunications; Power (physics); Mathematics; Wireless; Physics","score_opus":0.02432443683960801,"score_gpt":0.2669311821798236,"score_spread":0.2426067453402156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211182027","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":[0.23669864,0.0013526079,0.7561294,0.0024506592,0.0012253295,0.00044759244,0.000026323483,0.0008523197,0.00081713323],"genre_scores_gemma":[0.9598931,0.00030282795,0.038314983,0.0007880952,0.00013363882,0.00017147708,0.00010749235,0.00014143375,0.00014697337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982463,0.0002471969,0.00051272643,0.00034725334,0.00017630572,0.00047021976],"domain_scores_gemma":[0.9972769,0.00032377118,0.00014302903,0.002016392,0.00012790144,0.0001119791],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018306346,0.00032922957,0.00035439074,0.00021646215,0.0004444835,0.00012013946,0.00073265244,0.00013527238,0.000020837968],"category_scores_gemma":[0.00003737213,0.00039940083,0.00014362087,0.0006868942,0.000113536036,0.0005190118,0.00018023262,0.0005573194,0.00007355615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016004867,0.00003260612,0.00022661469,0.00003928883,0.00009047404,0.000009985125,0.00084190915,0.73945326,0.257636,0.0002466511,0.0005887376,0.000832882],"study_design_scores_gemma":[0.0011916329,0.000008283094,0.00037093964,0.00035609008,0.000061841034,0.000033349967,0.0008806766,0.96459866,0.030055135,0.000027545837,0.0016786287,0.0007372439],"about_ca_topic_score_codex":0.00006656273,"about_ca_topic_score_gemma":0.00013136442,"teacher_disagreement_score":0.7231944,"about_ca_system_score_codex":0.0004832062,"about_ca_system_score_gemma":0.000031380125,"threshold_uncertainty_score":0.9998458},"labels":[],"label_agreement":null},{"id":"W3212004685","doi":"10.32920/ryerson.14664615.v1","title":"Graph Coloring and Ant Colony Optimization based Sub-channel Allocation Algorithms for LTE-A HetNets","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Femtocell; Macrocell; Computer science; Computer network; Resource allocation; Cyclic prefix; Telecommunications link; LTE Advanced; Heterogeneous network; Orthogonal frequency-division multiplexing; Channel allocation schemes; Throughput; Channel (broadcasting); Base station; Wireless network; Wireless; Telecommunications","score_opus":0.019768326592034948,"score_gpt":0.24055271172833592,"score_spread":0.22078438513630097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212004685","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":[0.001855045,0.00096559274,0.9930325,0.00006099152,0.0013531969,0.0017432608,0.000054606804,0.00065319205,0.00028158128],"genre_scores_gemma":[0.50929415,0.00093143637,0.48567244,0.00005599789,0.00023443863,0.0013111768,0.0021914246,0.00019935313,0.00010953888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840385,0.000038594993,0.0005115671,0.00057453074,0.00015680691,0.00031463106],"domain_scores_gemma":[0.9988845,0.00012025848,0.0001505579,0.0003740858,0.00036055877,0.000110046865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022664061,0.00039795216,0.00045461187,0.00025368505,0.0001061357,0.00016380005,0.00012869349,0.0004248141,0.000011493512],"category_scores_gemma":[0.00008074319,0.00047286676,0.00009890915,0.00022165164,0.00002796718,0.00023874635,0.000107359214,0.00023547244,8.4370305e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011306478,0.000021694303,0.000013567665,0.0007748174,0.00006105099,0.0000022212507,0.00012981555,0.99758625,0.00074886903,0.00004596263,0.00012699104,0.00047742767],"study_design_scores_gemma":[0.00062808447,0.000035044202,0.000019735473,0.00028268233,0.000060790906,0.0000043395,0.00012476633,0.9899145,0.008318377,0.00009026009,0.00004574822,0.00047572088],"about_ca_topic_score_codex":0.00003739314,"about_ca_topic_score_gemma":0.00007617232,"teacher_disagreement_score":0.50743914,"about_ca_system_score_codex":0.00023427092,"about_ca_system_score_gemma":0.00007576719,"threshold_uncertainty_score":0.9997723},"labels":[],"label_agreement":null},{"id":"W3212842203","doi":"10.3390/electronics10222829","title":"Methodology for Quantitative Assessment of Greenhouse Gas Emissions Reduction of Solar-Powered Wi-Fi","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Université du Québec en Outaouais","funders":"York University","keywords":"Greenhouse gas; Software deployment; Energy consumption; Environmental science; Environmental economics; Computer science; Telecommunications; Engineering; Electrical engineering","score_opus":0.044050323643226155,"score_gpt":0.34996610994931293,"score_spread":0.3059157863060868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212842203","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":[0.017484657,0.0037308964,0.97790015,0.00003686607,0.00024936209,0.00023439748,0.000022443122,0.00006962498,0.00027162937],"genre_scores_gemma":[0.3435084,0.001462895,0.6546623,0.0000027932874,0.00003369345,0.000043518277,0.00007880354,0.000049451606,0.00015816491],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991413,0.000100248275,0.00033114993,0.00014541115,0.000077206714,0.00020470927],"domain_scores_gemma":[0.99921936,0.00019818642,0.00012720711,0.00020293826,0.00022303249,0.000029255289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026739604,0.00009935418,0.0002787247,0.00006640231,0.000030711293,0.0000030905844,0.00006315382,0.00008989774,0.000015709187],"category_scores_gemma":[0.00020740858,0.000111199835,0.000070512564,0.00023042837,0.00002158129,0.00008882268,0.000013923412,0.00012429645,3.585702e-7],"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":[0.000021352365,0.000048553295,0.000016570768,0.00017835145,0.0001223303,5.359301e-7,0.00037355043,0.28943953,0.692195,0.014534358,0.00023416158,0.0028357215],"study_design_scores_gemma":[0.0007764695,0.00047572088,0.000034799734,0.00007981407,0.00009057639,0.000025478848,0.00068861723,0.1456931,0.84203064,0.0057741506,0.004119731,0.00021090364],"about_ca_topic_score_codex":0.00000213726,"about_ca_topic_score_gemma":0.000028587605,"teacher_disagreement_score":0.32602373,"about_ca_system_score_codex":0.00014326748,"about_ca_system_score_gemma":0.00016848993,"threshold_uncertainty_score":0.45345977},"labels":[],"label_agreement":null},{"id":"W3213020674","doi":"10.1109/icc45855.2022.9839044","title":"Achievable Rate of Near-Field Communications Based on Physically Consistent Models","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Field (mathematics); Mathematics","score_opus":0.08847087343761914,"score_gpt":0.31655063241172854,"score_spread":0.2280797589741094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213020674","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":[0.006712404,0.00041988248,0.4216835,0.025761435,0.0021981336,0.0019294913,0.0015796911,0.0009508503,0.53876466],"genre_scores_gemma":[0.98768634,0.00036967447,0.009879951,0.0005693944,0.000020483207,0.0005958365,0.00046101314,0.000044196095,0.00037312004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983856,0.00031640817,0.00054621027,0.0002232947,0.0003464984,0.00018197489],"domain_scores_gemma":[0.9959028,0.00077830494,0.00021771295,0.0027216421,0.0003130682,0.000066468456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032056382,0.00020058463,0.0002449376,0.00020869315,0.00048987934,0.00006582805,0.0026164786,0.00005254823,0.0004048172],"category_scores_gemma":[0.000076185,0.00024160257,0.000119742115,0.0003443884,0.00015875368,0.00020801317,0.00041451788,0.00066565187,0.000035993537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043551656,0.00034053865,0.000017232313,0.000010843216,0.000068307796,5.5209784e-7,0.00025695466,0.8548666,0.004694743,0.13692696,0.0014505362,0.0013231412],"study_design_scores_gemma":[0.00043236985,0.00014100941,0.000017130333,0.00006869381,0.000017711982,0.0000018169326,0.000282181,0.98836714,0.0009087124,0.0044910796,0.0050677457,0.00020437968],"about_ca_topic_score_codex":0.00007621087,"about_ca_topic_score_gemma":0.00007166022,"teacher_disagreement_score":0.9809739,"about_ca_system_score_codex":0.0002828285,"about_ca_system_score_gemma":0.00014274461,"threshold_uncertainty_score":0.9852267},"labels":[],"label_agreement":null},{"id":"W3213482770","doi":"10.48550/arxiv.2111.09826","title":"Analysis and Design of Distributed MIMO Networks with a Wireless Fronthaul","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Beamforming; Computer network; Multicast; MIMO; Wireless network; Wireless; Bandwidth (computing); Telecommunications","score_opus":0.022976766555505825,"score_gpt":0.15286396631637805,"score_spread":0.12988719976087224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213482770","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":[0.11251494,0.00033211338,0.886634,0.0000011265757,0.00006820532,0.00022586685,0.000041357845,0.00012614875,0.000056270866],"genre_scores_gemma":[0.9942491,0.0006254862,0.0047753113,0.0000015290933,0.000017779146,0.0000015052842,0.00024510658,0.000032460754,0.000051700776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905896,0.00007394465,0.00018355361,0.0004537443,0.000039257888,0.00019053898],"domain_scores_gemma":[0.9990696,0.000068149144,0.00014928122,0.00048182538,0.00014424953,0.00008691005],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007715917,0.0002536373,0.0005408725,0.00021875906,0.000036119094,0.000027596323,0.00018187005,0.00024216699,0.000014297576],"category_scores_gemma":[0.0000071540308,0.00029107477,0.00009741108,0.0009765971,0.0000660319,0.00012775627,0.00015495264,0.00026440618,4.2777248e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003326826,0.000015192602,0.008811534,0.00015780622,0.0011515882,0.00008610618,0.00006995732,0.9895124,0.000028398597,0.000062868035,0.00000759748,0.0000632694],"study_design_scores_gemma":[0.00030704925,0.00001551956,0.0008601194,0.00013425625,0.001058844,0.0000017115431,0.00019953714,0.9969673,0.00013807761,0.00003203311,0.0000021543053,0.0002833838],"about_ca_topic_score_codex":0.000095603275,"about_ca_topic_score_gemma":0.00016267024,"teacher_disagreement_score":0.88185865,"about_ca_system_score_codex":0.00012958418,"about_ca_system_score_gemma":0.000034498655,"threshold_uncertainty_score":0.99995416},"labels":[],"label_agreement":null},{"id":"W3214115988","doi":"10.1109/spawc51858.2021.9593125","title":"Fast Algorithm for Joint Unicast and Multicast Beamforming in Large-Scale Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Multicast; Unicast; Beamforming; Computer science; Computer network; Computational complexity theory; Xcast; Distributed computing; Algorithm; Telecommunications","score_opus":0.011294425721196615,"score_gpt":0.2267240077176065,"score_spread":0.21542958199640988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214115988","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":[0.0020300988,0.0005911303,0.9956939,0.00001558976,0.00025489967,0.0003361459,0.000037412767,0.0001456299,0.0008951589],"genre_scores_gemma":[0.2767047,0.000113421345,0.72179395,0.000016939784,0.0001252571,0.00014958614,0.000066184155,0.000075566735,0.00095438596],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992217,0.000011845844,0.00029024534,0.00017698194,0.0000559481,0.00024331821],"domain_scores_gemma":[0.9996603,0.00004069797,0.00002201395,0.00015489543,0.0000630272,0.000059078466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012310004,0.00011519021,0.00021089944,0.00006729668,0.000037138692,0.00003947275,0.000034739754,0.0000699183,0.0000073862047],"category_scores_gemma":[0.000023452174,0.00011971492,0.000024981331,0.00014814264,0.000008918252,0.00018166087,0.000034504985,0.00007161564,0.000003936358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002164337,0.000050468352,0.00020324619,0.0004627059,0.000030766238,0.000018470837,0.00088700786,0.9561794,0.007456345,0.00092950265,0.00007963401,0.0337003],"study_design_scores_gemma":[0.00052228675,0.0000087024955,0.000036155383,0.00009378445,0.000005094149,0.000036013178,0.0026915579,0.9930869,0.0024411462,0.000013794338,0.00092149386,0.00014310595],"about_ca_topic_score_codex":0.00001047871,"about_ca_topic_score_gemma":0.000103900056,"teacher_disagreement_score":0.2746746,"about_ca_system_score_codex":0.000075669595,"about_ca_system_score_gemma":0.000009505217,"threshold_uncertainty_score":0.4881833},"labels":[],"label_agreement":null},{"id":"W3214924235","doi":"10.1109/isncc52172.2021.9615658","title":"An Efficient Resource Allocation for D2D Communications Underlaying in HetNets","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Femtocell; Computer science; Cellular network; Computer network; Throughput; Femto-; Heterogeneous network; Quality of service; Resource allocation; Wireless network; Distributed computing; User equipment; Power control; Wireless; Base station; Power (physics); Telecommunications","score_opus":0.02445482286337371,"score_gpt":0.28145406373124315,"score_spread":0.25699924086786946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3214924235","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":[0.009080599,0.0003211962,0.9843211,0.00014597128,0.000052765223,0.00023788471,0.0000026244993,0.00021782996,0.0056199837],"genre_scores_gemma":[0.92049015,0.000017989654,0.07911062,0.00003683828,0.00001442874,0.00006996853,0.0001254852,0.000022809814,0.00011171691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952626,0.00002987232,0.00017840207,0.00010833981,0.000042469197,0.000114647126],"domain_scores_gemma":[0.999331,0.00007586464,0.000016752141,0.00049231836,0.000054476364,0.000029588777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010935737,0.000061581275,0.00007639604,0.00005541458,0.000050834766,0.000021544032,0.000116527546,0.000042004598,0.000006898118],"category_scores_gemma":[0.000019548095,0.00007302162,0.000015883885,0.00020050109,0.000009271691,0.000079792466,0.000019337735,0.000052822088,0.0000042311103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.637558e-7,0.000025794867,0.000054530752,0.000025915335,0.0000031191994,2.2609906e-7,0.00029864107,0.9896293,0.0054345406,0.0026695014,0.00005633305,0.0018010866],"study_design_scores_gemma":[0.0002123545,0.0000057810303,0.00007872074,0.00002332108,0.0000026903763,0.0000021202009,0.00075997924,0.9926396,0.0039545083,0.000063511754,0.0021717658,0.00008565546],"about_ca_topic_score_codex":0.000007650207,"about_ca_topic_score_gemma":0.00017298094,"teacher_disagreement_score":0.91140956,"about_ca_system_score_codex":0.0001098757,"about_ca_system_score_gemma":0.000013747474,"threshold_uncertainty_score":0.2977735},"labels":[],"label_agreement":null},{"id":"W3215441342","doi":"10.32920/ryerson.14653761.v1","title":"Energy efficient operation of a base transceiver station using Markov decision process","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Markov decision process; Quality of service; Energy consumption; Base station; Computer science; Transceiver; Markov chain; Process (computing); Efficient energy use; Markov process; Computer network; Operations research; Engineering; Telecommunications; Electrical engineering","score_opus":0.01191188481350407,"score_gpt":0.25209336008530947,"score_spread":0.2401814752718054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215441342","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":[0.16882618,0.00032448323,0.82961875,0.000002210679,0.0004492723,0.0002573416,0.000024257908,0.00012213709,0.0003753703],"genre_scores_gemma":[0.8917565,0.00007477454,0.10774071,0.000005331542,0.000039520382,0.000033468168,0.00027112532,0.000054004795,0.000024586678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987099,0.000040090294,0.00053603033,0.00032155804,0.00025008354,0.00014234988],"domain_scores_gemma":[0.9991986,0.000039924667,0.0001056594,0.00028941763,0.00032013553,0.000046251498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121164616,0.00023054359,0.00031137452,0.00019218426,0.000032075353,0.000049233862,0.00010511536,0.00022077224,0.00010853799],"category_scores_gemma":[0.000022773875,0.0002444032,0.00007784643,0.00019126058,0.000012887833,0.00014145032,0.00003375856,0.00013725634,7.2248673e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012928682,0.000028553224,0.000008284812,0.0005385335,0.000026229049,0.0000025534232,0.00063184433,0.97816706,0.015509467,0.000032470994,0.0000075336234,0.0050345426],"study_design_scores_gemma":[0.0002507222,0.000007224433,0.000013532803,0.0005163837,0.000033232373,0.0000031400766,0.0002748779,0.941095,0.057550963,0.000034887344,0.000003917395,0.00021614722],"about_ca_topic_score_codex":0.000098617114,"about_ca_topic_score_gemma":0.00008280268,"teacher_disagreement_score":0.7229303,"about_ca_system_score_codex":0.00019954142,"about_ca_system_score_gemma":0.000100788304,"threshold_uncertainty_score":0.9966473},"labels":[],"label_agreement":null},{"id":"W3216004325","doi":"10.1109/lcomm.2022.3157161","title":"Decentralized Beamforming for Cell-Free Massive MIMO With Unsupervised Learning","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Beamforming; Computer science; Unsupervised learning; Artificial intelligence; Telecommunications","score_opus":0.014010027692343415,"score_gpt":0.22218452636296854,"score_spread":0.20817449867062512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216004325","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":[0.024324875,0.0005482661,0.970722,0.0019875583,0.00022271794,0.00090277934,0.000044646764,0.00054199214,0.0007051242],"genre_scores_gemma":[0.75760573,0.0001251301,0.24012445,0.0003472049,0.000028259192,0.0013170841,0.0002389807,0.00010637679,0.000106756794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912107,0.0000942117,0.00024402502,0.0001480237,0.00012518476,0.0002674959],"domain_scores_gemma":[0.9983689,0.00021014032,0.000083801904,0.0012403134,0.000047430512,0.000049391056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013648917,0.00015040505,0.00016074622,0.00012225065,0.00067755947,0.000031814598,0.00094037206,0.00002583184,0.00002042605],"category_scores_gemma":[0.000022440565,0.00017161724,0.000054942277,0.00030463366,0.000048222144,0.00019147035,0.00013921947,0.00031732407,0.0000039396336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015377713,0.000021218686,0.0001136118,0.00003606714,0.000032265536,7.401118e-7,0.000843478,0.96360075,0.032683015,0.00009390474,0.0022262377,0.0003333352],"study_design_scores_gemma":[0.0038148207,0.00010908629,0.000023381115,0.00005463266,0.00008975972,0.000017540917,0.0025021771,0.8781252,0.0077307974,0.000059466136,0.10680993,0.0006631975],"about_ca_topic_score_codex":0.0000144612795,"about_ca_topic_score_gemma":0.000016994953,"teacher_disagreement_score":0.7332809,"about_ca_system_score_codex":0.0002577602,"about_ca_system_score_gemma":0.000018474104,"threshold_uncertainty_score":0.69983476},"labels":[],"label_agreement":null},{"id":"W3217279469","doi":"10.1109/tcomm.2021.3130198","title":"A POMDP-Based Antenna Selection for Massive MIMO Communication","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Partially observable Markov decision process; Computer science; Channel state information; MIMO; Beamforming; Telecommunications link; Antenna (radio); Quantization (signal processing); Multi-user MIMO; Fading; Selection (genetic algorithm); Markov chain; Channel (broadcasting); Algorithm; Base station; Precoding; Mathematical optimization; Markov model; Mathematics; Computer network; Telecommunications; Machine learning; Wireless","score_opus":0.02405551029369564,"score_gpt":0.2661404194294252,"score_spread":0.24208490913572955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217279469","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":[0.0002689149,0.00057658297,0.9948965,0.0011104066,0.00026447707,0.00057297794,0.00012751122,0.0006665794,0.0015160517],"genre_scores_gemma":[0.85897005,0.00063959684,0.13871865,0.00010930294,0.000018264716,0.00087682065,0.00017553085,0.00007251826,0.00041925072],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893755,0.00014428521,0.00038242034,0.00020401638,0.000106677355,0.00022502581],"domain_scores_gemma":[0.99726605,0.00048524368,0.000076313845,0.0016581542,0.00043945463,0.00007480448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012862262,0.00019399404,0.00020120737,0.00018535822,0.0006153095,0.000059017224,0.00044049713,0.00013776043,0.00005678764],"category_scores_gemma":[0.000022461056,0.00024309175,0.00014498211,0.00064976653,0.00007612318,0.00025970436,0.0000030225758,0.00033626962,0.000037433434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000194545,0.0002487599,0.0000081567005,0.00006231353,0.00009214707,2.421711e-7,0.00021948307,0.96705043,0.025705583,0.00080866413,0.0005014151,0.0052833715],"study_design_scores_gemma":[0.00075945485,0.000041867846,0.0000142370445,0.00011340967,0.00007504705,0.000008698632,0.00023042882,0.9392393,0.053218722,0.00037530746,0.0056509706,0.00027252926],"about_ca_topic_score_codex":0.000017859285,"about_ca_topic_score_gemma":0.0005606868,"teacher_disagreement_score":0.85870117,"about_ca_system_score_codex":0.00026372122,"about_ca_system_score_gemma":0.000094217634,"threshold_uncertainty_score":0.9912994},"labels":[],"label_agreement":null},{"id":"W3217366828","doi":"10.1109/jiot.2021.3122026","title":"Partial Cooperative Zero-Forcing Decoding for Uplink Cell-Free Massive MIMO","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Bisection method; Mathematical optimization; Telecommunications link; Computer science; Algorithm; Decoding methods; Maximization; Power control; Mathematics; MIMO; Power (physics); Channel (broadcasting)","score_opus":0.014138757517774153,"score_gpt":0.24323777620152148,"score_spread":0.22909901868374732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217366828","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":[0.031206764,0.00046137595,0.9647097,0.000071782786,0.0023871807,0.00014986626,0.0000056487906,0.00006788774,0.00093981356],"genre_scores_gemma":[0.86740476,0.00007039464,0.1312917,0.000057558438,0.000346008,0.000013458835,0.000005126222,0.00006164985,0.00074935704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987471,0.00003237585,0.0006073641,0.00017029556,0.00015094028,0.00029191797],"domain_scores_gemma":[0.9988871,0.00013867531,0.0002501986,0.00018758247,0.00043200026,0.00010441255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025263627,0.00018883156,0.00032032272,0.000100534504,0.00007651132,0.00011383027,0.00028350824,0.00010876677,0.00005321163],"category_scores_gemma":[0.00023608672,0.00019213805,0.00015480448,0.00010805819,0.000025360225,0.0006051905,0.000047182646,0.00035334483,0.000005417694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042167314,0.000022904194,0.00006650948,0.00015718065,0.00013575441,0.0000461104,0.0030781482,0.85683954,0.13071033,0.000271765,0.0072416933,0.0013878644],"study_design_scores_gemma":[0.00081342185,0.0000554204,0.0000010375576,0.00030836044,0.00003102181,0.00012395013,0.00024311469,0.47352546,0.52396053,0.0004145608,0.00036604164,0.00015704044],"about_ca_topic_score_codex":0.000005410874,"about_ca_topic_score_gemma":0.0000025746454,"teacher_disagreement_score":0.836198,"about_ca_system_score_codex":0.00017018005,"about_ca_system_score_gemma":0.00005286719,"threshold_uncertainty_score":0.7835162},"labels":[],"label_agreement":null},{"id":"W3217635768","doi":"10.1109/tit.2021.3130753","title":"Interference Alignment for the <i>K</i>-User MIMO Interference Channel","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Notation; Interference (communication); Channel (broadcasting); MIMO; Transmitter; Mathematics; Algorithm; Topology (electrical circuits); Discrete mathematics; Combinatorics; Computer science; Telecommunications; Arithmetic","score_opus":0.011101293968142552,"score_gpt":0.21886471907639016,"score_spread":0.2077634251082476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217635768","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":[0.00010586648,0.000074970245,0.99519545,0.00010015837,0.0017082653,0.00041376392,0.00008301894,0.0002554196,0.0020630888],"genre_scores_gemma":[0.99654454,0.00016569564,0.0017632109,0.00032755765,0.000037503964,0.00047381033,0.000021116868,0.000022052303,0.00064451806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922055,0.00003439203,0.0003636789,0.00009687121,0.000099481935,0.0001850412],"domain_scores_gemma":[0.99913687,0.00029099357,0.000058885435,0.0003131491,0.00015569724,0.000044431978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020678331,0.00015907345,0.00012196846,0.000091835915,0.00017308311,0.00007822435,0.00016732614,0.00007290402,0.00012486034],"category_scores_gemma":[0.0000160056,0.00013281246,0.000084381514,0.00018478346,0.000034319528,0.0008539301,0.0000016300727,0.00016031839,0.0001232824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004725237,0.000017903569,1.3210301e-7,0.000081225095,0.0000658169,1.9963322e-7,0.0018941782,0.9654975,0.00044482728,0.0038861185,0.0005010561,0.027563773],"study_design_scores_gemma":[0.001457345,0.00014712218,0.0000069524626,0.00032269527,0.000112014895,0.000041096206,0.007153296,0.62453985,0.3441421,0.0040211906,0.017410751,0.0006455329],"about_ca_topic_score_codex":0.0000014560155,"about_ca_topic_score_gemma":0.000008348872,"teacher_disagreement_score":0.9964387,"about_ca_system_score_codex":0.00011030242,"about_ca_system_score_gemma":0.000025935733,"threshold_uncertainty_score":0.5415935},"labels":[],"label_agreement":null},{"id":"W418117445","doi":"10.1007/bf03001030","title":"Une approche basée sur la programmation par contraintes pour affecter des cellules à des commutateurs dans les réseaux cellulaires pour mobiles","year":2003,"lang":"fr","type":"article","venue":"Annals of Telecommunications","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":"Polytechnique Montréal","funders":"","keywords":"Chemistry; Political science","score_opus":0.085592650593754,"score_gpt":0.2894544722030214,"score_spread":0.2038618216092674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W418117445","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":[0.19828697,0.03965584,0.74479,0.0027649787,0.00013176334,0.0013067136,0.00014163055,0.00042140347,0.012500711],"genre_scores_gemma":[0.72534853,0.009339217,0.26362827,0.000015985639,0.000033840268,0.00027351105,0.00018893133,0.00011694166,0.0010547574],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99662614,0.0012201407,0.0009809628,0.00031692587,0.00018726921,0.0006685757],"domain_scores_gemma":[0.99545443,0.0017920044,0.0004411855,0.0012654223,0.00086457876,0.00018236417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008776514,0.0004957962,0.00057140575,0.0002209937,0.00058251736,0.00013478352,0.0007830081,0.00031392215,0.000071394454],"category_scores_gemma":[0.0010106334,0.0005552874,0.0002729665,0.0007133565,0.0011473276,0.0007240237,0.00010851912,0.00046941068,0.00004375128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033388602,0.0022140918,0.014816307,0.002776648,0.00082497904,0.000008453253,0.026620641,0.7368053,0.07396534,0.038598575,0.0050066872,0.09832958],"study_design_scores_gemma":[0.0028038367,0.0004614076,0.015465224,0.0046347165,0.0006229562,0.00023876154,0.032050733,0.21773641,0.5974933,0.077631265,0.04819963,0.0026617502],"about_ca_topic_score_codex":0.0018606088,"about_ca_topic_score_gemma":0.0023463157,"teacher_disagreement_score":0.5270616,"about_ca_system_score_codex":0.00013391417,"about_ca_system_score_gemma":0.00017078253,"threshold_uncertainty_score":0.9996899},"labels":[],"label_agreement":null},{"id":"W4200035844","doi":"10.1109/tvt.2021.3139315","title":"Joint User Grouping, Sparse Beamforming, and Subcarrier Allocation for D2D Underlaid Cache-Enabled C-RANs With Rate Splitting","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; China Scholarship Council; China University of Mining and Technology; National Natural Science Foundation of China","keywords":"Subcarrier; Computer science; Beamforming; Backhaul (telecommunications); Transmitter power output; Algorithm; Theoretical computer science; Computer network; Transmitter; Base station; Channel (broadcasting); Orthogonal frequency-division multiplexing","score_opus":0.010660657397217686,"score_gpt":0.2074984685639928,"score_spread":0.1968378111667751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200035844","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10392134,0.0002237456,0.89399976,0.00030869886,0.00020898269,0.0005478615,0.000013845064,0.0007144789,0.00006131086],"genre_scores_gemma":[0.9553947,0.00012481866,0.04361064,0.000045739187,0.000024735367,0.00034694947,0.000021878912,0.00009750867,0.0003330159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987719,0.00002963019,0.00033723493,0.00040338596,0.00009346391,0.00036437556],"domain_scores_gemma":[0.9992422,0.000046982434,0.000070720744,0.00039806098,0.00017757423,0.00006448023],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016407049,0.00026155345,0.00031140642,0.0003169577,0.00022822754,0.000036852838,0.00008491447,0.00032721978,0.000011945368],"category_scores_gemma":[0.000013606471,0.00027186127,0.000065381326,0.0005497324,0.000083442115,0.0002472641,0.0000019307247,0.00033001756,0.000005293421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024319112,0.000047357695,0.000034673678,0.00020069521,0.00017777499,0.000019481715,0.00017152808,0.895318,0.098102935,0.00082377414,0.000016866785,0.0050626053],"study_design_scores_gemma":[0.0019248553,0.00020856102,0.000021645264,0.00023926645,0.00019599104,0.00023372589,0.0009918839,0.32059348,0.6723625,0.000651884,0.0020143592,0.00056181906],"about_ca_topic_score_codex":0.000009044793,"about_ca_topic_score_gemma":0.0001757723,"teacher_disagreement_score":0.8514734,"about_ca_system_score_codex":0.00016092828,"about_ca_system_score_gemma":0.000043303637,"threshold_uncertainty_score":0.99997336},"labels":[],"label_agreement":null},{"id":"W4200084836","doi":"10.1109/mass52906.2021.00070","title":"Joint Computing and Radio Resource Allocation in Cloud Radio Access Networks","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Karush–Kuhn–Tucker conditions; Computer science; Radio access network; C-RAN; Resource allocation; Mathematical optimization; Cloud computing; Radio resource management; Quality of service; Base station; Computer network; Wireless network; Wireless; Mathematics; Telecommunications","score_opus":0.013440554612014462,"score_gpt":0.23510070282253867,"score_spread":0.2216601482105242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200084836","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":[0.022164378,0.0013373704,0.97268134,0.00006485178,0.00023518638,0.00012570212,2.7699912e-7,0.00021160193,0.0031792591],"genre_scores_gemma":[0.9901345,0.00011260049,0.00932127,0.00004202658,0.00018611457,0.000004174505,0.000021436847,0.000028141552,0.00014978301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993488,0.000035835663,0.00023992245,0.00016220614,0.000052347485,0.00016086173],"domain_scores_gemma":[0.9997128,0.000045481185,0.000027078953,0.00014569759,0.000027446396,0.000041500083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013963705,0.00009456063,0.00014807463,0.00005499881,0.000031883552,0.00006270306,0.000055391083,0.000065732944,0.000011883837],"category_scores_gemma":[0.000029676601,0.00010640492,0.000014152699,0.00026939198,0.000009868058,0.00017615501,0.000047953843,0.00011851431,0.0000016275837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011694365,0.0000038815533,0.0007844917,0.000033888533,0.0000063929224,0.0000061763994,0.00016829609,0.9942277,0.00031961506,0.0003370082,0.0004482098,0.0036631688],"study_design_scores_gemma":[0.0002852369,0.00000289548,0.0015678541,0.00007111041,0.0000031346658,0.000023984576,0.00012685644,0.99601686,0.0011037635,0.000026103286,0.0006490473,0.00012313474],"about_ca_topic_score_codex":0.000015399199,"about_ca_topic_score_gemma":0.000054210606,"teacher_disagreement_score":0.9679701,"about_ca_system_score_codex":0.00008842409,"about_ca_system_score_gemma":0.000007725351,"threshold_uncertainty_score":0.43390667},"labels":[],"label_agreement":null},{"id":"W4200349416","doi":"10.1109/comcas52219.2021.9629042","title":"Modeling and Analysis of Spatial Distributions of Users in Massive MIMO Systems","year":2021,"lang":"en","type":"article","venue":"2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Bivariate analysis; Base station; Path loss; Transmitter power output; Poisson distribution; Computer science; Power control; Poisson point process; MIMO; Power (physics); Gaussian; Univariate; Attenuation; Point process; Multivariate normal distribution; Random variable; Stochastic geometry; Telecommunications; Mathematics; Statistics; Multivariate statistics; Wireless; Physics","score_opus":0.030848361630687073,"score_gpt":0.2743595849133786,"score_spread":0.2435112232826915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200349416","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":[0.30631268,0.019567281,0.66987985,0.00028938925,0.0006125224,0.00060781796,0.00089520175,0.000059030954,0.0017762263],"genre_scores_gemma":[0.98611975,0.012720788,0.00045025753,0.000003872292,0.00002536951,0.000059185615,0.0005090099,0.000021478281,0.00009031953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982404,0.0001760331,0.0008545909,0.0002884305,0.00017665987,0.00026387753],"domain_scores_gemma":[0.9982818,0.000139534,0.00021709007,0.00070282014,0.000598886,0.000059918806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027542203,0.00020964774,0.00057115685,0.00048790226,0.000075647666,0.000077328645,0.00037667298,0.00012211745,0.000013830127],"category_scores_gemma":[0.00004866857,0.0002345263,0.0000892048,0.00059555395,0.00010767561,0.0001746102,0.00009504898,0.00028137423,0.000001232937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045710647,0.00021359566,0.0038134311,0.00029567635,0.0021432308,0.0000069433318,0.00074930064,0.75068563,0.11090854,0.12972552,0.000023119252,0.0013893128],"study_design_scores_gemma":[0.00039098866,0.00003205328,0.00023422063,0.00043707242,0.00014791683,0.000018503853,0.0016399712,0.99600714,0.0006769132,0.00010535876,0.00011781698,0.00019202165],"about_ca_topic_score_codex":0.0013851963,"about_ca_topic_score_gemma":0.002146474,"teacher_disagreement_score":0.67980707,"about_ca_system_score_codex":0.00024719586,"about_ca_system_score_gemma":0.00013226026,"threshold_uncertainty_score":0.95637053},"labels":[],"label_agreement":null},{"id":"W4200632245","doi":"10.1109/lwc.2021.3132255","title":"Favorable Propagation for Massive MIMO With Circular and Cylindrical Antenna Arrays","year":2021,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Kronecker delta; Bessel function; MIMO; Antenna (radio); Interference (communication); Topology (electrical circuits); Mathematical analysis; Mathematics; Physics; Computer science; Telecommunications; Channel (broadcasting); Combinatorics","score_opus":0.016126577264174262,"score_gpt":0.22822216042916044,"score_spread":0.21209558316498617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200632245","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":[0.04943882,0.0004542842,0.9468957,0.0022614158,0.00009592839,0.00046841303,0.00001886424,0.00019859328,0.00016793855],"genre_scores_gemma":[0.92254275,0.00023647644,0.07645614,0.00020067948,0.000037647285,0.00031125895,0.00013483531,0.000054474007,0.00002573163],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992272,0.000060576152,0.00022916502,0.00019597635,0.00008991988,0.00019712669],"domain_scores_gemma":[0.998699,0.0001274871,0.00006600754,0.00088719727,0.00016352728,0.000056757643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007851161,0.00014825,0.0001899834,0.000069982234,0.00020703717,0.000060552702,0.00022940406,0.00006282217,0.0000016841964],"category_scores_gemma":[0.000020054205,0.0001545506,0.000033251767,0.00027029586,0.00010420379,0.00025241385,0.00003202872,0.00016237906,0.000003932383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014077353,0.00006589072,0.00047033583,0.00028766543,0.00014053713,0.0000092042,0.0008276155,0.36050087,0.63319933,0.0014792078,0.00047975537,0.0025255173],"study_design_scores_gemma":[0.0008899017,0.00002563355,0.00015114721,0.00019821097,0.000058729664,0.000049968832,0.0004719106,0.9718603,0.024335798,0.00006931098,0.0015018171,0.0003872582],"about_ca_topic_score_codex":0.0000059225263,"about_ca_topic_score_gemma":0.000027826161,"teacher_disagreement_score":0.8731039,"about_ca_system_score_codex":0.00009813027,"about_ca_system_score_gemma":0.000029371093,"threshold_uncertainty_score":0.630239},"labels":[],"label_agreement":null},{"id":"W4205306254","doi":"10.1109/tvt.2021.3134272","title":"Multi-Agent Deep Reinforcement Learning-Empowered Channel Allocation in Vehicular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Channel (broadcasting); Channel allocation schemes; Computer network; Artificial intelligence; Engineering; Telecommunications; Wireless","score_opus":0.00881718005287248,"score_gpt":0.21891563294203667,"score_spread":0.21009845288916418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205306254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010367493,0.0008443827,0.98653895,0.0001605388,0.0006528153,0.0004259723,0.0000010310406,0.00094952196,0.000059292663],"genre_scores_gemma":[0.9933189,0.0006882904,0.005271684,0.0000378509,0.000022207643,0.0003186076,0.000034188244,0.000075016345,0.00023325479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985024,0.000059957038,0.00046773916,0.00039710183,0.00014977134,0.00042306518],"domain_scores_gemma":[0.9992512,0.000024792696,0.000064798995,0.00046947913,0.00012670306,0.00006306482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012293941,0.00027552576,0.00030489184,0.00050342054,0.00012524311,0.000020639129,0.00016044959,0.0005088313,0.000039839942],"category_scores_gemma":[0.000016509204,0.00033357003,0.000097892356,0.0010743825,0.000049563703,0.00014074924,0.0000034591587,0.0007638744,0.000054444317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000072939433,0.00008508735,0.000013645183,0.000033512846,0.00006752879,0.00006504062,0.00011099867,0.9835729,0.012467726,0.000037810903,0.000005809935,0.003532656],"study_design_scores_gemma":[0.0008738572,0.000059143596,0.000017763157,0.000084538035,0.000026353073,0.00004170505,0.00027899686,0.93232787,0.065494604,0.000020179301,0.0004890298,0.0002859571],"about_ca_topic_score_codex":0.000010540202,"about_ca_topic_score_gemma":0.00017424265,"teacher_disagreement_score":0.9829514,"about_ca_system_score_codex":0.00036771488,"about_ca_system_score_gemma":0.000024323506,"threshold_uncertainty_score":0.9999116},"labels":[],"label_agreement":null},{"id":"W4205337543","doi":"10.1109/jiot.2021.3135294","title":"Framework for Vertical Performance Assessment in Very Large-Scale Cellular Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Polytechnique Montréal","funders":"","keywords":"Computer science; Software deployment; Context (archaeology); Key (lock); Performance indicator; Quality of experience; Scale (ratio); Distributed computing; Quality of service; Telecommunications; Computer security","score_opus":0.009786406135193848,"score_gpt":0.25423846802815486,"score_spread":0.244452061892961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205337543","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":[0.20268507,0.00038086303,0.7948864,0.000028214383,0.0017077497,0.00007373288,9.831842e-7,0.00002906358,0.00020792954],"genre_scores_gemma":[0.8872696,0.00013027251,0.112194814,0.000048796195,0.00024164582,0.000008648123,0.0000038832795,0.00003344416,0.000068903224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891293,0.000028812903,0.0004918166,0.00012389224,0.00014932238,0.00029320735],"domain_scores_gemma":[0.99950075,0.00010147818,0.00007150134,0.00013528536,0.00011963695,0.000071369504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034912996,0.000127009,0.00025209977,0.000077302444,0.000027849352,0.00004994398,0.00016359854,0.00014486883,0.00004427329],"category_scores_gemma":[0.00005179731,0.00013279165,0.00009531411,0.0001239981,0.000015152949,0.0003788312,0.000025919668,0.00065908,0.0000022172437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029105719,0.000057161273,0.0026238218,0.00013725164,0.000051110146,0.000027508,0.0008427697,0.98994935,0.004505782,0.00031242127,0.0005167327,0.00094699964],"study_design_scores_gemma":[0.00046618257,0.00005210071,0.00021858973,0.00066764833,0.000014263402,0.00006242105,0.00014028596,0.9602357,0.03720359,0.0004818209,0.00032496013,0.00013242532],"about_ca_topic_score_codex":0.0000011130865,"about_ca_topic_score_gemma":0.0000024794033,"teacher_disagreement_score":0.68458456,"about_ca_system_score_codex":0.00018380566,"about_ca_system_score_gemma":0.000033889588,"threshold_uncertainty_score":0.5415087},"labels":[],"label_agreement":null},{"id":"W4205676769","doi":"10.1109/tcomm.2021.3137834","title":"Mobility-Aware Performance in Hybrid RF and Terahertz Wireless Networks","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wireless; Terahertz radiation; Computer science; Electronic engineering; Radio frequency; Computer network; Electrical engineering; Telecommunications; Engineering; Materials science; Optoelectronics","score_opus":0.014121172441853487,"score_gpt":0.23152525699588367,"score_spread":0.21740408455403018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205676769","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":[0.036839206,0.0006742183,0.9608045,0.00012383018,0.0002065329,0.00020762386,0.000021615338,0.0002223699,0.00090011006],"genre_scores_gemma":[0.99248916,0.004344206,0.0027651365,0.000027831513,0.0000104626115,0.00017010131,0.000023000335,0.000032287397,0.00013780451],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992986,0.000060014907,0.00026531235,0.00015620608,0.000058030244,0.00016184007],"domain_scores_gemma":[0.9987105,0.00014084838,0.000022935776,0.0010114617,0.00006331557,0.000050923107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008139506,0.00012747539,0.00014981328,0.00009184849,0.00018658058,0.00002982646,0.00020671621,0.00006112364,0.000020526139],"category_scores_gemma":[0.0000020895332,0.00015573103,0.00003183473,0.00034085792,0.000060369617,0.00024448536,0.000004193477,0.00037475288,0.000009179002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032023434,0.000094810006,0.0001313591,0.000034587756,0.0000187709,0.0000012246254,0.00016272104,0.9719789,0.00027466557,0.000025131536,0.000014541591,0.027260084],"study_design_scores_gemma":[0.00027868652,0.000012303293,0.00039144544,0.00010693945,0.000013242316,0.000023149372,0.00013160626,0.99464196,0.0033857403,0.000019163432,0.0008327402,0.0001630278],"about_ca_topic_score_codex":0.000013812371,"about_ca_topic_score_gemma":0.0003271395,"teacher_disagreement_score":0.95803934,"about_ca_system_score_codex":0.00011034589,"about_ca_system_score_gemma":0.000020988817,"threshold_uncertainty_score":0.63505274},"labels":[],"label_agreement":null},{"id":"W4205767053","doi":"10.22215/etd/2021-14818","title":"Deep Reinforcement Learning, LSTMs &amp; Pointers for DL Scheduling in LTE","year":2021,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Scheduling (production processes); Telecommunications link; Distributed computing; Artificial neural network; Heuristic; Artificial intelligence; Computer network; Mathematical optimization","score_opus":0.009914289048309597,"score_gpt":0.25665562895105165,"score_spread":0.24674133990274205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205767053","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":[0.002411938,0.0007534046,0.9784358,0.0000052583027,0.0011462395,0.0006176364,7.2990224e-7,0.00028495325,0.016344054],"genre_scores_gemma":[0.42424855,0.001076487,0.31721047,0.00006811987,0.0005358818,0.0013566238,0.023796115,0.0007230212,0.23098475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877393,0.000015480304,0.00052091613,0.00027669777,0.00012259565,0.00029035436],"domain_scores_gemma":[0.9994764,0.000051247407,0.00011248545,0.00019441852,0.00011638858,0.000049073187],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011863511,0.00027933402,0.00033890147,0.00024192798,0.000042154705,0.000049604598,0.000105464176,0.00025162793,0.0001770584],"category_scores_gemma":[0.00015233728,0.00032814205,0.00010774706,0.00019015966,0.000003824279,0.00016179662,0.000010568326,0.00031525188,0.000029875016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016256754,0.000004424855,0.00002333059,0.00062545383,0.000042097538,0.0000013716908,0.0010489565,0.99617624,0.00084126316,0.00022037397,0.00007769959,0.00092250365],"study_design_scores_gemma":[0.00054447714,0.000020330626,0.000012193395,0.0006509238,0.000025136318,0.0000016462832,0.0031711506,0.9902794,0.0019392273,0.000039780814,0.002879235,0.00043651968],"about_ca_topic_score_codex":0.000035648984,"about_ca_topic_score_gemma":0.0019743172,"teacher_disagreement_score":0.6612253,"about_ca_system_score_codex":0.00026217563,"about_ca_system_score_gemma":0.000029696559,"threshold_uncertainty_score":0.9999171},"labels":[],"label_agreement":null},{"id":"W4206084901","doi":"10.1109/dyspan53946.2021.9677161","title":"On Channel Estimation to Enable Fair Licensed Spectrum Sharing Between Two MNOs","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Science and Engineering Research Council","keywords":"Computer science; Spectrum management; Frequency allocation; Channel (broadcasting); MIMO; Cellular network; Base station; Computer network; Beamforming; Wireless; Spectral efficiency; Channel allocation schemes; Interference (communication); Telecommunications; Cognitive radio","score_opus":0.013792930000478213,"score_gpt":0.24358953826901228,"score_spread":0.22979660826853407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206084901","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":[0.014885351,0.000020865704,0.95778984,0.00016801474,0.00026222196,0.00023760684,0.0000052375995,0.000668543,0.025962343],"genre_scores_gemma":[0.97438973,0.000002790203,0.023299308,0.000075628996,0.00017937428,0.000028328004,0.000047249952,0.000050964274,0.0019266119],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917483,0.000009184347,0.00021379604,0.00024295469,0.00010756117,0.00025166856],"domain_scores_gemma":[0.9995152,0.000049510483,0.000021303187,0.00028306158,0.000037111,0.000093837225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007131061,0.00014034877,0.00016903183,0.00010073319,0.000052333653,0.00005092276,0.00008669449,0.000050212384,0.00013407494],"category_scores_gemma":[0.00006334137,0.00015613242,0.000030535626,0.0003217171,0.0000030462945,0.00020048812,0.00003981074,0.000093908566,0.0003826101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017147344,0.0000058967867,0.00006184417,0.00003203285,0.000014171514,0.0000046549007,0.00013258046,0.9950713,0.0017086769,0.0019663086,0.0003843809,0.0006164474],"study_design_scores_gemma":[0.00039123904,0.000029695952,0.00017470412,0.00010257829,0.000010609,0.00000400572,0.000076525524,0.8677223,0.12848519,0.0024362449,0.00029352444,0.00027340467],"about_ca_topic_score_codex":0.000028381228,"about_ca_topic_score_gemma":0.00004253458,"teacher_disagreement_score":0.95950437,"about_ca_system_score_codex":0.00015199266,"about_ca_system_score_gemma":0.000012310707,"threshold_uncertainty_score":0.6366895},"labels":[],"label_agreement":null},{"id":"W4206138687","doi":"10.1109/twc.2022.3142262","title":"Multi-Pair Computation for Two-Way Intra Cloud Radio-Access Network Communications","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Computer science; Telecommunications link; Decodes; Radio access network; Computer network; Decoding methods; C-RAN; Baseband; Heuristic; Cloud computing; Pairwise error probability; Algorithm; Bandwidth (computing); Base station; Mobile station; Fading","score_opus":0.03897280868930272,"score_gpt":0.3002487840814585,"score_spread":0.2612759753921558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206138687","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":[0.0006177589,0.000640806,0.99282163,0.0009984571,0.0011329422,0.0016832086,0.00044969347,0.0012040114,0.0004514982],"genre_scores_gemma":[0.86767274,0.00038798974,0.12694028,0.00013437789,0.00007594447,0.003949499,0.0005445681,0.00014595744,0.00014865243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978394,0.00043715007,0.0007464781,0.0003254242,0.00021521465,0.00043636607],"domain_scores_gemma":[0.9956733,0.0008929271,0.00019412783,0.0029366442,0.00017380105,0.0001292275],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00042920597,0.00032756504,0.00037383556,0.00028101087,0.0027372593,0.000112616166,0.0023940832,0.00009509617,0.000041177598],"category_scores_gemma":[0.000007117536,0.0004319599,0.00019977073,0.0010974144,0.0002061588,0.00047151474,0.00005418344,0.00084724516,0.000017995852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022637567,0.0003410435,0.000010114027,0.00003738111,0.00011985718,2.59939e-7,0.00049014064,0.9800004,0.00074205163,0.0011703271,0.0016546791,0.015411145],"study_design_scores_gemma":[0.001321467,0.0000645649,0.000018884766,0.000045847108,0.00008474853,0.000014843306,0.00038753613,0.9846773,0.00066511444,0.00021991842,0.01206421,0.00043556336],"about_ca_topic_score_codex":0.000059767382,"about_ca_topic_score_gemma":0.0004541614,"teacher_disagreement_score":0.867055,"about_ca_system_score_codex":0.00059464783,"about_ca_system_score_gemma":0.0000670756,"threshold_uncertainty_score":0.9998132},"labels":[],"label_agreement":null},{"id":"W4206290017","doi":"10.1002/9780470724347.ch1","title":"Overview","year":2007,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","score_opus":0.013995654551725797,"score_gpt":0.24820841124125922,"score_spread":0.23421275668953342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206290017","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.92972e-9,0.0054559135,0.38261947,4.2674628e-7,0.00027574503,0.000064435466,0.000002168462,0.0010371492,0.6105447],"genre_scores_gemma":[0.0000058485766,0.0011053482,0.018907845,0.000017609824,0.00021359604,0.0000040567334,0.000015549804,0.0005887569,0.9791414],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999737,0.0000015944227,0.000073389754,0.00006315333,0.00003810128,0.000086743035],"domain_scores_gemma":[0.9998164,0.0000034997604,0.000013827617,0.00014181624,0.0000034254401,0.000021000054],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000017596405,0.000098811535,0.000108914006,0.0001402852,0.0000024086148,0.0000034351049,0.000043592143,0.00013908008,0.006561726],"category_scores_gemma":[0.0000015633158,0.00009577076,0.000018413692,0.00008113655,0.0000033001554,0.000011956971,0.000004992205,0.0000475026,0.0010140315],"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":[5.1865356e-8,8.4685485e-7,8.3905053e-7,0.00017651421,0.00001351076,0.0000015218527,0.000002318761,0.0035477572,0.0000036973179,0.0012434549,0.991718,0.003291517],"study_design_scores_gemma":[0.000035496865,9.0374385e-7,2.4467283e-7,0.00010575028,0.000003155338,0.0000012125385,0.000001447945,0.0016120587,0.000022274493,0.000008692641,0.9980965,0.000112226684],"about_ca_topic_score_codex":0.000009187759,"about_ca_topic_score_gemma":0.000035792775,"teacher_disagreement_score":0.3685967,"about_ca_system_score_codex":0.000023794255,"about_ca_system_score_gemma":0.0000017019094,"threshold_uncertainty_score":0.9997638},"labels":[],"label_agreement":null},{"id":"W4206752615","doi":"10.1109/milcom52596.2021.9652950","title":"Downlink Scheduling in LTE with Deep Reinforcement Learning, LSTMs and Pointers","year":2021,"lang":"en","type":"article","venue":"MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Reinforcement learning; Computer science; Telecommunications link; Scheduling (production processes); Distributed computing; Computer network; Artificial intelligence; Real-time computing; Mathematical optimization","score_opus":0.017215010271989826,"score_gpt":0.23549029456636672,"score_spread":0.2182752842943769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206752615","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":[0.12633158,0.038218178,0.8137457,0.0024424181,0.00067241036,0.0013810189,0.00003699663,0.00045084552,0.016720869],"genre_scores_gemma":[0.92279786,0.013495145,0.062210336,0.000069191454,0.000071033806,0.0001780643,0.0005121483,0.00007874459,0.0005874972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741024,0.00037269757,0.0008448934,0.000563737,0.00026149018,0.0005469246],"domain_scores_gemma":[0.99694765,0.0002993246,0.000104690684,0.0020938632,0.00036121314,0.00019327184],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003631897,0.00046284025,0.00057473924,0.00029635915,0.0003223014,0.00008649729,0.00076330523,0.00018300695,0.00041392902],"category_scores_gemma":[0.00012564768,0.0005139078,0.00008921996,0.0008690755,0.0002552538,0.0005853454,0.00039006476,0.0010268085,0.00006358828],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024021057,0.00006666363,0.0019082269,0.00013615313,0.000129822,0.000033119846,0.0027830196,0.9821404,0.0043435902,0.0008667297,0.00009688977,0.0074713435],"study_design_scores_gemma":[0.0012909549,0.00009084106,0.00041276024,0.0007590222,0.0000575666,0.000045134293,0.0065035154,0.9840467,0.0020195383,0.00015309818,0.003917576,0.0007032724],"about_ca_topic_score_codex":0.00037817037,"about_ca_topic_score_gemma":0.004940384,"teacher_disagreement_score":0.79646623,"about_ca_system_score_codex":0.00028730644,"about_ca_system_score_gemma":0.00017416388,"threshold_uncertainty_score":0.99973124},"labels":[],"label_agreement":null},{"id":"W4207006076","doi":"10.21203/rs.3.rs-1243325/v1","title":"Solar Radio Emission as A Disturbance of Radiomobile Networks","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Branco Weiss Fellowship – Society in Science","keywords":"Base station; Context (archaeology); Telecommunications; Disturbance (geology); 3rd Generation Partnership Project 2; Computer science; Radio access network; General partnership; Environmental science; Computer network; Telecommunications link; Geography; Mobile station; Business","score_opus":0.023213512356174863,"score_gpt":0.334556838927485,"score_spread":0.31134332657131014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4207006076","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":[0.027137673,0.06485835,0.8774147,0.00010236778,0.0031471197,0.006387902,0.00039843092,0.0014071205,0.019146362],"genre_scores_gemma":[0.99099773,0.0031709366,0.0020602036,0.00000231618,0.0003902081,0.00086677854,0.00046260233,0.00017628532,0.0018729364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972106,0.0003597527,0.00048745397,0.000500399,0.00084652466,0.0005952353],"domain_scores_gemma":[0.99813795,0.00025632858,0.000104934836,0.0010571232,0.00026437576,0.00017928511],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010755119,0.00027913097,0.00049229135,0.00034754522,0.0001765488,0.000051510167,0.0006433152,0.00032630353,0.00046793994],"category_scores_gemma":[0.0002699993,0.0003021496,0.00016078286,0.0006722049,0.00008621708,0.00010624427,0.0008501381,0.0021372382,0.000013496689],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034731613,0.000034804685,0.00036622057,0.0018058439,0.000049398506,0.000027962207,0.0003855442,0.989546,0.0004572456,0.00009604721,0.0051820045,0.002014212],"study_design_scores_gemma":[0.00045375348,0.00020103363,0.00022813276,0.0016491609,0.000015790893,0.0000134433685,0.0005662422,0.9707933,0.0019401838,0.0007054663,0.02289433,0.00053917506],"about_ca_topic_score_codex":0.00008938061,"about_ca_topic_score_gemma":0.000003967589,"teacher_disagreement_score":0.96386003,"about_ca_system_score_codex":0.00080036715,"about_ca_system_score_gemma":0.00015603336,"threshold_uncertainty_score":0.9999431},"labels":[],"label_agreement":null},{"id":"W4210279034","doi":"10.3390/app12031343","title":"A Fuzzy Method for Joint Resource Allocation and Stable Pairing in D2D Communications","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Pairing; Computer science; Fuzzy logic; Selection (genetic algorithm); Stability (learning theory); Mathematical optimization; Transmitter; Set (abstract data type); Channel (broadcasting); Computer network; Mathematics; Artificial intelligence; Physics; Machine learning","score_opus":0.03935989311819743,"score_gpt":0.28089972245808137,"score_spread":0.24153982933988394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210279034","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":[0.005016241,0.0004845058,0.9767894,0.00031924492,0.000048086782,0.00061516336,0.0000064566198,0.00013844992,0.016582452],"genre_scores_gemma":[0.7431905,0.0000113019905,0.25625014,0.00003116393,0.0000069861626,0.00046412818,0.0000072870853,0.000007773549,0.00003069321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994618,0.00003024325,0.00015116425,0.00013888978,0.00008574871,0.0001321427],"domain_scores_gemma":[0.9996254,0.00013516899,0.00003300628,0.00017879109,0.000008510221,0.000019154373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009513754,0.0000529793,0.00008247854,0.00010796415,0.0003307645,0.00002651644,0.00018797658,0.000013327737,0.000002623566],"category_scores_gemma":[0.000011925093,0.00005878087,0.000008259995,0.00039710503,0.00004627251,0.00009176087,0.00010416263,0.000062616564,4.5619583e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018362841,0.000007696249,0.00005199024,0.000020955309,0.0000021480575,4.1862894e-8,0.0010971063,0.9558079,0.014135374,0.019875718,0.00013764967,0.008861532],"study_design_scores_gemma":[0.00019816897,0.000017402937,0.000045546964,0.0000076108413,0.0000030879278,0.000002105197,0.00415032,0.98179924,0.0016325875,0.004750888,0.007282675,0.000110358626],"about_ca_topic_score_codex":0.000019648185,"about_ca_topic_score_gemma":0.000058262078,"teacher_disagreement_score":0.73817426,"about_ca_system_score_codex":0.00007065995,"about_ca_system_score_gemma":0.000014078936,"threshold_uncertainty_score":0.25440064},"labels":[],"label_agreement":null},{"id":"W4210599326","doi":"10.1109/access.2022.3146335","title":"Practical Optimization and Game Theory for 6G Ultra-Dense Networks: Overview and Research Challenges","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Faculty of Engineering and Information Technology, University of Technology Sydney; Engineering and Physical Sciences Research Council; Queen's University; University of Technology Sydney; Royal Academy of Engineering; University of New South Wales; Queen's University Belfast; Ho Chi Minh City University of Technology and Education; Trường Đại học Duy Tân","keywords":"Computer science; Game theory; Management science; Mathematical economics; Engineering; Mathematics","score_opus":0.1324240060457227,"score_gpt":0.39687388427736314,"score_spread":0.26444987823164046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210599326","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":[0.0021452613,0.015136753,0.9806565,0.00027203813,0.0003849857,0.0007357739,0.000012616662,0.0001525154,0.0005035367],"genre_scores_gemma":[0.97590905,0.016561123,0.006600555,0.00004541988,0.00020963365,0.0005163741,0.00001655175,0.000069796304,0.00007149384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900436,0.00020279786,0.00016782993,0.00023115533,0.00015396494,0.00023991545],"domain_scores_gemma":[0.9989282,0.00071837544,0.000036655238,0.00017296086,0.00008189553,0.000061895415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095294573,0.00010458629,0.000147524,0.0001007123,0.00019766814,0.00009273004,0.00011342382,0.00005535422,0.000022661177],"category_scores_gemma":[0.00013614229,0.000112463254,0.000015709693,0.00018875682,0.000042784784,0.00051977223,0.00006285922,0.00022363271,4.9123116e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034584886,0.0000136095,0.00001262238,0.00019204567,0.000019333102,0.0000034269624,0.00044990834,0.9919398,0.000046708567,0.0022791368,0.00055074977,0.004458077],"study_design_scores_gemma":[0.00050414476,0.00007769824,0.000042758147,0.00004541989,0.000019498706,0.000049014663,0.00060593535,0.99352044,0.000238456,0.0018264026,0.0028736622,0.00019658059],"about_ca_topic_score_codex":0.000002666423,"about_ca_topic_score_gemma":0.0000039877746,"teacher_disagreement_score":0.97405595,"about_ca_system_score_codex":0.00006364182,"about_ca_system_score_gemma":0.0000132986615,"threshold_uncertainty_score":0.45861185},"labels":[],"label_agreement":null},{"id":"W4210808437","doi":"10.1109/globecom46510.2021.9685290","title":"Joint Resource Block Allocation and Beamforming with Mixed-Numerology for eMBB and URLLC Use Cases","year":2021,"lang":"en","type":"article","venue":"2021 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Subcarrier; 3rd Generation Partnership Project 2; Beamforming; Computer network; Quality of service; Base station; Resource allocation; Mathematical optimization; Orthogonal frequency-division multiplexing; Telecommunications; Mathematics","score_opus":0.048638571802404024,"score_gpt":0.26183462567353627,"score_spread":0.21319605387113225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210808437","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":[0.34803548,0.0059094396,0.6378056,0.0022858793,0.00032749982,0.0014558948,0.00046642247,0.00043718662,0.003276628],"genre_scores_gemma":[0.92228884,0.0013193144,0.07578083,0.000074691256,0.000027789398,0.00014709283,0.00023087383,0.000027334041,0.00010325458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988176,0.00011212524,0.00037727543,0.00031271586,0.000095223324,0.00028503855],"domain_scores_gemma":[0.9979705,0.0003360532,0.00010954024,0.0010837917,0.00038021657,0.000119894816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014111344,0.00023397272,0.00031247738,0.000055571734,0.0003075631,0.00016661113,0.00025329387,0.00013029476,0.000008927245],"category_scores_gemma":[0.00021355235,0.0002526412,0.00003392476,0.00029557289,0.00016918354,0.00040100963,0.00017961644,0.00016588188,0.0000039397723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004108421,0.0009351316,0.036548194,0.001967821,0.0020130498,0.0001131769,0.0049839457,0.517434,0.029505717,0.20634359,0.0127752945,0.1869692],"study_design_scores_gemma":[0.0048551154,0.0005843111,0.010142556,0.0011695295,0.0006816144,0.003027685,0.008543416,0.8387635,0.0076694903,0.0023001267,0.119706586,0.0025560686],"about_ca_topic_score_codex":0.00011885718,"about_ca_topic_score_gemma":0.0029254965,"teacher_disagreement_score":0.5742533,"about_ca_system_score_codex":0.00012695321,"about_ca_system_score_gemma":0.00009765978,"threshold_uncertainty_score":0.9999926},"labels":[],"label_agreement":null},{"id":"W4211000743","doi":"10.1109/jiot.2022.3150038","title":"A Directly Connected OTA Measurement for Performance Evaluation of 5G Adaptive Beamforming Terminals","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Western University","funders":"China Postdoctoral Science Foundation","keywords":"Beamforming; Computer science; Antenna (radio); MIMO; Base station; Antenna array; Throughput; Channel (broadcasting); Electronic engineering; Telecommunications; Wireless; Engineering","score_opus":0.048949553931616804,"score_gpt":0.26543871464277696,"score_spread":0.21648916071116014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211000743","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":[0.52120966,0.0005147852,0.47582462,0.00001076816,0.0012517344,0.00051094725,0.000010328911,0.0000439661,0.0006231973],"genre_scores_gemma":[0.9892246,0.000014563837,0.010528619,0.000009473571,0.000068884656,0.00007837121,0.0000027351243,0.000030684914,0.00004208105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982798,0.00007755934,0.0006149937,0.00010536167,0.0007527063,0.00016957772],"domain_scores_gemma":[0.9984789,0.00005298387,0.0004785179,0.00010794894,0.0008419174,0.00003974822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002394778,0.00012518588,0.0002539454,0.00019719718,0.00007362706,0.0000143856,0.00022065197,0.000032293887,0.00006769959],"category_scores_gemma":[0.00016411244,0.000130098,0.00009734966,0.00012177629,0.000018073775,0.0004150896,0.000021060589,0.00022175122,5.1083873e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014784951,0.000036547957,0.00007821143,0.00011621819,0.00017483816,7.8497345e-7,0.003721584,0.87215763,0.09905553,0.000016660484,0.00038081437,0.024113322],"study_design_scores_gemma":[0.0007865509,0.00031229254,0.000042806994,0.0003024684,0.00008378024,0.000091357484,0.00037279032,0.81978506,0.1778436,0.00009392745,0.00017035098,0.00011500171],"about_ca_topic_score_codex":0.000012058487,"about_ca_topic_score_gemma":0.0000023054947,"teacher_disagreement_score":0.46801493,"about_ca_system_score_codex":0.00060092285,"about_ca_system_score_gemma":0.00006899908,"threshold_uncertainty_score":0.5305242},"labels":[],"label_agreement":null},{"id":"W4211133998","doi":"10.1002/9781118797051.refs","title":"References","year":2014,"lang":"en","type":"other","venue":"","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science","score_opus":0.007664309803567488,"score_gpt":0.20469195652583658,"score_spread":0.19702764672226908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211133998","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.2116794e-8,0.00023235384,0.38017341,8.178163e-7,0.00025597724,0.000038160448,0.0000014794406,0.0009757714,0.618322],"genre_scores_gemma":[0.00030128076,0.00011047746,0.012936365,0.000006198643,0.00022838834,0.000008144454,0.000016428798,0.00035798343,0.98603475],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978393,0.0000032040518,0.00005768676,0.000063702915,0.000029743136,0.00006175026],"domain_scores_gemma":[0.9998364,0.000003934073,0.000014873887,0.00012598588,0.0000031939317,0.000015640922],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000011250697,0.00008489727,0.0001009999,0.00006160119,0.0000028634342,0.00000506268,0.00005202255,0.00011206442,0.0033843624],"category_scores_gemma":[0.0000025970876,0.00007428644,0.000010688047,0.000029466495,0.0000043130103,0.000009333255,0.000004038019,0.000037939004,0.0010159237],"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":[3.5851897e-8,3.61354e-7,0.0000015540654,0.000057557307,0.000008457802,1.2700131e-7,0.0000023906343,0.0071360846,0.000005142957,0.0006562817,0.9907792,0.0013528041],"study_design_scores_gemma":[0.00002618466,0.000001803889,3.3909586e-7,0.000056413664,0.0000024011374,3.9205858e-7,0.000002267203,0.0057398775,0.00001809703,0.000026226937,0.9940214,0.00010457118],"about_ca_topic_score_codex":0.000011543227,"about_ca_topic_score_gemma":0.00008468254,"teacher_disagreement_score":0.36771274,"about_ca_system_score_codex":0.000008928145,"about_ca_system_score_gemma":0.0000014602633,"threshold_uncertainty_score":0.9997619},"labels":[],"label_agreement":null},{"id":"W4214539983","doi":"10.1109/twc.2022.3152229","title":"Fair Licensed Spectrum Sharing Between Two MNOs Using Resource Optimization in Multi-Cell Multi-User MIMO Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Cellular network; Spectral efficiency; MIMO; Scheduling (production processes); Optimization problem; Convex optimization; Mathematical optimization; Algorithm; Mathematics; Regular polygon","score_opus":0.03928084097547696,"score_gpt":0.27345779646986224,"score_spread":0.23417695549438527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214539983","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":[0.007298513,0.0002797195,0.99025744,0.00008831615,0.00026307345,0.000871177,0.000088098204,0.0006549252,0.00019872613],"genre_scores_gemma":[0.9158646,0.00018928068,0.08294509,0.000034073324,0.000030140944,0.0003842824,0.0001225196,0.00016389716,0.000266104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978584,0.00030021835,0.00075160834,0.00041595334,0.0002087265,0.0004650782],"domain_scores_gemma":[0.9976359,0.0002548776,0.00016542959,0.0017729449,0.00005390515,0.00011693255],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031453124,0.00033822027,0.00037370386,0.0005603828,0.0009980774,0.00006856096,0.0010463652,0.00013277732,0.0000602336],"category_scores_gemma":[0.000004098798,0.00046390758,0.0001249972,0.0013204598,0.000075235585,0.0003720002,0.0000381932,0.0012153479,0.000009210649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001163386,0.00031075533,0.00031800894,0.000022217939,0.000038299342,0.000001595281,0.0006206627,0.99723274,0.00066848454,0.000028065051,0.000008312148,0.00073925854],"study_design_scores_gemma":[0.0018125434,0.000024096467,0.000061104474,0.00007262078,0.00005241671,0.0000060280054,0.0005697711,0.99555796,0.0010777717,0.0000025160173,0.0003359987,0.00042719612],"about_ca_topic_score_codex":0.00032025206,"about_ca_topic_score_gemma":0.00067613926,"teacher_disagreement_score":0.9085661,"about_ca_system_score_codex":0.0008495441,"about_ca_system_score_gemma":0.000045397715,"threshold_uncertainty_score":0.99978125},"labels":[],"label_agreement":null},{"id":"W4214854730","doi":"10.18280/mmep.090126","title":"Physical (PHY) Layer Analysis of Data Transmission in MIMO Wireless Networks in Line- of-Sight (LoS) Environments","year":2022,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MIMO; Rician fading; Computer science; Non-line-of-sight propagation; Physical layer; PHY; Electronic engineering; Multi-user MIMO; Computer network; Transmission (telecommunications); 3G MIMO; Wireless; Real-time computing; Telecommunications; Fading; Engineering; Channel (broadcasting)","score_opus":0.026124352367436286,"score_gpt":0.227187058573029,"score_spread":0.20106270620559272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214854730","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":[0.1508232,0.0003907297,0.84854573,0.0000026515606,0.00001472593,0.0001493427,0.000013630981,0.000031320757,0.000028661838],"genre_scores_gemma":[0.97864264,0.000111044996,0.0211134,6.5466145e-7,0.00000898333,0.00003601548,0.000044657412,0.000033774402,0.00000883159],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998941,0.000019635077,0.00047939757,0.00021595747,0.00015484053,0.00018918181],"domain_scores_gemma":[0.99952674,0.000105041865,0.000045306795,0.0002749639,0.000004712961,0.000043232583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025150628,0.00014743634,0.00046653175,0.00028388514,0.000015176902,0.000005277907,0.00017755938,0.000051919757,0.0000075717107],"category_scores_gemma":[0.0000035285643,0.00015123325,0.000043272834,0.0006139702,0.0000135324735,0.00011488732,0.00007383946,0.00022533085,1.7456227e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048422053,0.00009895749,0.000053610238,0.0004580456,0.00007388725,0.0000013254848,0.0006843897,0.99476826,0.002861324,0.00036518957,3.7061434e-7,0.0006298019],"study_design_scores_gemma":[0.00021930724,0.000016975982,0.000011908551,0.00016413353,0.000073100935,7.7544576e-7,0.000022599574,0.9987238,0.00030967954,0.00030028066,0.0000202665,0.0001371967],"about_ca_topic_score_codex":0.000007060386,"about_ca_topic_score_gemma":0.000001174014,"teacher_disagreement_score":0.8278194,"about_ca_system_score_codex":0.000039081027,"about_ca_system_score_gemma":0.0000028731292,"threshold_uncertainty_score":0.6167113},"labels":[],"label_agreement":null},{"id":"W4214900980","doi":"10.1109/jsyst.2022.3150468","title":"Functional Split-Aware Optimal BBU Placement for 5G Cloud-RAN Over WDM Access/Aggregation Network","year":2022,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; C-RAN; Cloud computing; Computer network; Radio access network; Integer programming; Baseband; Latency (audio); Cellular network; Distributed computing; Bandwidth (computing); Algorithm; Telecommunications; Base station","score_opus":0.022143758224063968,"score_gpt":0.2533337431555542,"score_spread":0.2311899849314902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214900980","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":[0.015443123,0.001271649,0.9594472,0.00003597164,0.022024248,0.0010113892,0.000078905716,0.00024301832,0.00044450504],"genre_scores_gemma":[0.9900557,0.000039014794,0.0013314562,0.00003929423,0.0066868733,0.0005161318,0.000107534455,0.00012183006,0.0011022117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777097,0.00013165723,0.00078522915,0.00026100292,0.0005391193,0.00051199994],"domain_scores_gemma":[0.9989694,0.00011551323,0.0003442337,0.00023147231,0.00017978503,0.00015959673],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00080874295,0.00027460873,0.00033740854,0.00017558821,0.0007923573,0.00024245563,0.0002870102,0.0000940241,0.00024668075],"category_scores_gemma":[0.000019951323,0.0002959691,0.00015665687,0.0003157294,0.000015607606,0.000602138,0.00003257282,0.00045695013,0.000014399387],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009463576,0.00001846088,0.00031494003,0.000127878,0.00012792351,0.000009161955,0.000117270414,0.9249329,0.00022393854,0.000116883995,0.073669046,0.00024694265],"study_design_scores_gemma":[0.0021771875,0.00015762041,0.00019032207,0.00019024489,0.00005721629,0.0007039147,0.00031881305,0.9516941,0.000156498,0.00009299955,0.043778785,0.00048233647],"about_ca_topic_score_codex":0.000014050556,"about_ca_topic_score_gemma":0.000005047216,"teacher_disagreement_score":0.97461253,"about_ca_system_score_codex":0.0009680643,"about_ca_system_score_gemma":0.00007816818,"threshold_uncertainty_score":0.9999492},"labels":[],"label_agreement":null},{"id":"W4214911960","doi":"10.1109/lwc.2022.3155610","title":"Improved Pilot Designs for Enhancing Connectivity in Multicarrier Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Spectral efficiency; Overhead (engineering); MIMO-OFDM; Orthogonal frequency-division multiplexing; Guard interval; Channel (broadcasting); Computer engineering; Multiplexing; Electronic engineering; Computer network; Telecommunications; Engineering","score_opus":0.033029610009776667,"score_gpt":0.2595386825299865,"score_spread":0.22650907252020985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214911960","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":[0.11960263,0.00031424037,0.8767323,0.00052646414,0.0007061546,0.001627236,0.00009866387,0.00031888354,0.00007341924],"genre_scores_gemma":[0.9850051,0.000026898875,0.010734956,0.00012120998,0.000041359355,0.0038943025,0.00006873666,0.00008264535,0.000024808085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985843,0.00027744556,0.00046454594,0.0002344424,0.00010959469,0.00032969058],"domain_scores_gemma":[0.9978432,0.000685613,0.00012307879,0.0012316318,0.00006123422,0.00005525859],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040964637,0.00019235836,0.0002874359,0.00021285188,0.0003964092,0.000041953997,0.0006942875,0.000041232477,0.000004236456],"category_scores_gemma":[0.00005014865,0.00024834363,0.000056010194,0.00037373818,0.00006449432,0.00022477386,0.00011904109,0.00036630264,0.0000026959428],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012034959,0.000038029473,0.00005942779,0.00005246152,0.000025060517,7.1663084e-7,0.0004927402,0.62439245,0.37432522,0.00023887579,0.00017061242,0.00019234036],"study_design_scores_gemma":[0.00087370153,0.000046143472,0.00003084743,0.00004791959,0.000016593278,0.0000051583484,0.00103186,0.9894871,0.0075392015,0.000010730258,0.0006070137,0.00030374358],"about_ca_topic_score_codex":0.0001838364,"about_ca_topic_score_gemma":0.0004521148,"teacher_disagreement_score":0.8659974,"about_ca_system_score_codex":0.00071939547,"about_ca_system_score_gemma":0.00003088815,"threshold_uncertainty_score":0.9999969},"labels":[],"label_agreement":null},{"id":"W4214936246","doi":"10.17148/ijarcce.2016.5105","title":"A Comprehensive Study of Channel Equalization Techniques in MIMO-OFDM Systems","year":2016,"lang":"en","type":"article","venue":"IJARCCE","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Orthogonal frequency-division multiplexing; MIMO-OFDM; Equalization (audio); MIMO; Computer science; Channel (broadcasting); Electronic engineering; Telecommunications; Engineering","score_opus":0.02365317648213031,"score_gpt":0.26517293242632295,"score_spread":0.24151975594419264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214936246","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":[0.26342443,0.00050112035,0.73271674,0.000010941608,0.00037341102,0.0014234163,0.000013056179,0.0005246703,0.0010122128],"genre_scores_gemma":[0.9992162,0.000043249933,0.0004683114,0.0000027171086,0.000040233786,0.000121313395,0.000002815065,0.00003411412,0.00007102246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991982,0.000058979407,0.00035118283,0.0001398824,0.00011060849,0.00014115845],"domain_scores_gemma":[0.9995211,0.00006629277,0.00007035012,0.00021748852,0.00009988042,0.000024937188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006864134,0.000113470785,0.00021795715,0.00018416553,0.000013035506,0.0000071178692,0.00009800548,0.000059384773,0.0000033748884],"category_scores_gemma":[0.000024691151,0.000092892136,0.000014978088,0.00025682992,0.000013282118,0.00018349697,0.00002269496,0.00003873422,0.0000068416043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004324945,0.00033606336,0.003842228,0.000845312,0.000077732744,0.000019253559,0.005859638,0.7791322,0.20251477,0.0010889884,0.00039865557,0.005841891],"study_design_scores_gemma":[0.015653785,0.0027779944,0.014227428,0.008582451,0.00013364038,0.00008185942,0.030018397,0.59657234,0.3179264,0.0014586254,0.008603527,0.003963531],"about_ca_topic_score_codex":0.000091129106,"about_ca_topic_score_gemma":0.00003443989,"teacher_disagreement_score":0.7357918,"about_ca_system_score_codex":0.00008899135,"about_ca_system_score_gemma":0.0000053114254,"threshold_uncertainty_score":0.37880313},"labels":[],"label_agreement":null},{"id":"W4220655966","doi":"10.23919/icact53585.2022.9728899","title":"Massive MIMO in Fixed-Point Arithmetic","year":2022,"lang":"en","type":"article","venue":"2022 24th International Conference on Advanced Communication Technology (ICACT)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"MIMO; Transceiver; Computer science; Decoding methods; Converters; Base station; Fixed point; Floating point; Eigenvalues and eigenvectors; Fixed-point arithmetic; Arithmetic; Bit error rate; Algorithm; Computer hardware; Mathematics; Telecommunications; Wireless; Engineering; Electrical engineering","score_opus":0.016013540678707278,"score_gpt":0.26365488248194874,"score_spread":0.24764134180324146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220655966","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":[0.12433264,0.006053832,0.44456112,0.06384088,0.0068959934,0.0065983185,0.0008747051,0.009917087,0.33692542],"genre_scores_gemma":[0.98640436,0.00083778694,0.010415442,0.00016932073,0.000013608059,0.0012130121,0.00023987399,0.000053969805,0.00065263984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825996,0.0001277396,0.0005898938,0.0003844248,0.00032864965,0.0003093596],"domain_scores_gemma":[0.99835175,0.00011831741,0.00022260516,0.0010727778,0.00018452195,0.00005001615],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024052522,0.0002585162,0.00029224256,0.0010092028,0.00021058273,0.00003246593,0.0015748219,0.00013342123,0.0010854824],"category_scores_gemma":[0.0001712313,0.00032299742,0.00005725777,0.0008768507,0.00012543003,0.0003008503,0.0005235196,0.0011855437,0.00007211316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079673046,0.000212258,0.00046740944,0.000018470679,0.0000719087,0.000019041461,0.0003423842,0.6645102,0.0103938775,0.2907232,0.00051443384,0.03264716],"study_design_scores_gemma":[0.003790515,0.00043520652,0.00048007476,0.00026095807,0.000022112175,0.00009379802,0.008911301,0.82975554,0.013110689,0.098937616,0.042858794,0.0013433571],"about_ca_topic_score_codex":0.0000102742115,"about_ca_topic_score_gemma":0.000047826474,"teacher_disagreement_score":0.8620717,"about_ca_system_score_codex":0.00094428944,"about_ca_system_score_gemma":0.000058852762,"threshold_uncertainty_score":0.9999222},"labels":[],"label_agreement":null},{"id":"W4220670973","doi":"10.1109/iccci54379.2022.9740853","title":"Review on Energy Efficient V2V Communication Techniques for a Dynamic and Congested Traffic Environment","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Computer Communication and Informatics (ICCCI)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Wireless; Efficient energy use; Information exchange; Beamforming; Field (mathematics); Energy (signal processing); Computer network; Distributed computing; Telecommunications; Engineering; Electrical engineering","score_opus":0.018374218512508988,"score_gpt":0.2509130560176337,"score_spread":0.23253883750512472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220670973","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":[0.00515089,0.0073925015,0.94860774,0.0038980413,0.0003616119,0.002808829,0.00034498642,0.0006144463,0.030820973],"genre_scores_gemma":[0.9149931,0.038349822,0.03968097,0.0036171312,0.000017027232,0.0010358364,0.002232313,0.00002766966,0.00004610227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988713,0.00014916496,0.0004908105,0.000114139286,0.00026337765,0.00011115337],"domain_scores_gemma":[0.9989732,0.00016913738,0.00019088511,0.00055185455,0.000077762794,0.000037176043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045801507,0.00017312872,0.0001902876,0.00018625091,0.00022672124,0.000096845106,0.0006194046,0.00004087966,0.00005976382],"category_scores_gemma":[0.000010400747,0.00018678162,0.000038261056,0.00008691974,0.0000387166,0.00016268322,0.00016759105,0.00022831038,0.0000032370804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077193545,0.0004913925,0.0000051830316,0.0010067632,0.00013740116,9.549855e-7,0.00711498,0.40250075,0.000075160126,0.2966213,0.0123249795,0.27964392],"study_design_scores_gemma":[0.00036434238,0.0002078504,0.000014600226,0.0003543936,0.000011818601,0.000023916911,0.0004960658,0.9313252,0.000010234329,0.00027344306,0.06673596,0.00018215652],"about_ca_topic_score_codex":0.0000016786215,"about_ca_topic_score_gemma":0.0000018717537,"teacher_disagreement_score":0.90984225,"about_ca_system_score_codex":0.00014249365,"about_ca_system_score_gemma":0.000012319787,"threshold_uncertainty_score":0.76167333},"labels":[],"label_agreement":null},{"id":"W4220901733","doi":"10.1109/access.2022.3162252","title":"Energy-Efficient Interference-Aware Cognitive Machine-to-Machine Communications Underlaying Cellular Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Underlay; Computer science; Cognitive radio; Quality of service; Cellular network; Mathematical optimization; Maximization; Energy consumption; Optimization problem; Transmitter power output; Fractional programming; Computer network; Convex optimization; Algorithm; Wireless; Telecommunications; Signal-to-noise ratio (imaging); Transmitter; Nonlinear programming; Regular polygon; Mathematics; Engineering","score_opus":0.02896225592433524,"score_gpt":0.2768706224845063,"score_spread":0.24790836656017104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220901733","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":[0.004922128,0.0012898658,0.98989916,0.000054882945,0.00093934673,0.00031275212,0.00009779722,0.00042560152,0.0020584697],"genre_scores_gemma":[0.9984773,0.0000629624,0.0004157811,0.00018669396,0.00006584553,0.00035897086,0.00025546932,0.000074851356,0.00010214856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998848,0.00012343901,0.0003253863,0.00025050135,0.00016050626,0.00029211756],"domain_scores_gemma":[0.9989942,0.0001588667,0.00007754274,0.0005856685,0.00008070532,0.000103037644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014037652,0.00020586539,0.00020945763,0.00019439033,0.00042177783,0.00009155284,0.00096481596,0.000045767523,0.00010587332],"category_scores_gemma":[0.000012894611,0.00023752729,0.00005273204,0.0006654578,0.000029974564,0.00017319855,0.00053903233,0.00036529984,0.000009789869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009820656,0.00004027529,0.00020473015,0.00001495304,0.00003497807,0.000004694888,0.0003036791,0.99521935,0.00027795805,0.00015682381,0.00022561646,0.003507138],"study_design_scores_gemma":[0.00025313976,0.000026053258,0.000017532871,0.000050702816,0.000021945734,0.000005865751,0.0002643483,0.99746037,0.00092770654,0.0000447055,0.0006618008,0.00026583954],"about_ca_topic_score_codex":0.0001655203,"about_ca_topic_score_gemma":0.00014633367,"teacher_disagreement_score":0.9935551,"about_ca_system_score_codex":0.00024547812,"about_ca_system_score_gemma":0.000017533694,"threshold_uncertainty_score":0.9686082},"labels":[],"label_agreement":null},{"id":"W4220944500","doi":"10.23919/icact53585.2022.9728867","title":"Fixed–Point Arithmetic for Implementing Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"2022 24th International Conference on Advanced Communication Technology (ICACT)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"MIMO; Quantization (signal processing); Computer science; Converters; Transceiver; Decoding methods; Base station; Bit error rate; Fixed-point arithmetic; Digital signal processing; Algorithm; Power (physics); Floating point; Arithmetic; Computer hardware; Mathematics; Telecommunications; Wireless; Beamforming","score_opus":0.026208094921488446,"score_gpt":0.2859911739036584,"score_spread":0.25978307898216996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220944500","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":[0.009103948,0.0023144812,0.9307135,0.009262423,0.003285535,0.004061032,0.0009726864,0.003447414,0.03683899],"genre_scores_gemma":[0.97561926,0.0004316952,0.018141879,0.00009556595,0.000035980596,0.0039842627,0.00065199204,0.00007765645,0.0009617089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803364,0.00010128849,0.0007031758,0.00041602468,0.00033086608,0.00041502615],"domain_scores_gemma":[0.9979235,0.0001915881,0.00038276426,0.0010442085,0.00040111333,0.000056841163],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003785217,0.00028454326,0.00032753104,0.00066997524,0.0005420527,0.00006959893,0.0015150161,0.000120361874,0.00041184045],"category_scores_gemma":[0.00018261619,0.00034842626,0.00008801371,0.0005084342,0.00009248604,0.0002917094,0.0004187994,0.0007017173,0.000026361731],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007466218,0.00011472422,0.00010530569,0.00005754301,0.00018591605,0.0000040034197,0.00023587298,0.449881,0.016854087,0.51115143,0.0013112889,0.02002421],"study_design_scores_gemma":[0.0022121097,0.0003356913,0.000021172506,0.00014990396,0.00003605089,0.000057732883,0.009166416,0.8479122,0.007877966,0.0233697,0.108092085,0.00076899654],"about_ca_topic_score_codex":0.0000074959144,"about_ca_topic_score_gemma":0.00001338827,"teacher_disagreement_score":0.9665153,"about_ca_system_score_codex":0.000776299,"about_ca_system_score_gemma":0.00006105881,"threshold_uncertainty_score":0.99989676},"labels":[],"label_agreement":null},{"id":"W4221135250","doi":"10.1109/twc.2022.3159779","title":"An Online Zero-Forcing Precoder for Weighted Sum-Rate Maximization in Green CoMP Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Carleton University","funders":"National Key Research and Development Program of China; State Key Laboratory of Advanced Metallurgy; Fundamental Research Funds for the Central Universities; Higher Education Discipline Innovation Project; Natural Sciences and Engineering Research Council of Canada; University of Science and Technology Beijing; Research Grants Council, University Grants Committee; Science, Technology and Innovation Commission of Shenzhen Municipality; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Maximization; Energy (signal processing); Mathematics; Combinatorics; Computer science; Algorithm; Discrete mathematics; Applied mathematics; Mathematical optimization; Statistics","score_opus":0.03521463453631516,"score_gpt":0.26410241805619405,"score_spread":0.2288877835198789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221135250","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":[0.017672166,0.00019811104,0.97867405,0.00015290682,0.00055044825,0.0013287173,0.0007175537,0.0005895348,0.00011653469],"genre_scores_gemma":[0.9826794,0.00023975834,0.014023064,0.00003830719,0.000022026248,0.0019434693,0.00071681273,0.00011631665,0.00022082677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983676,0.000321009,0.00061165774,0.00026752314,0.0001464056,0.00028576935],"domain_scores_gemma":[0.9980379,0.00026476692,0.000116413015,0.0013771114,0.0001238252,0.00007998982],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029226922,0.00022966,0.00029581497,0.0004447426,0.0007115674,0.000049294158,0.0007174785,0.000092072885,0.00002167721],"category_scores_gemma":[0.0000024633027,0.0002927023,0.00007370694,0.00075659994,0.00004480413,0.0004385914,0.000007141531,0.000474638,0.0000046882246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026137785,0.00033459117,0.000031334217,0.000069590926,0.000037345224,3.6574207e-7,0.00063154974,0.99180174,0.0020045901,0.0004887779,0.000036577978,0.0045373836],"study_design_scores_gemma":[0.000809387,0.00007708374,0.00005102327,0.00006255483,0.000031308537,0.0000053265762,0.0005997797,0.9966477,0.0005675902,0.00015741093,0.00069854956,0.00029229984],"about_ca_topic_score_codex":0.00030627832,"about_ca_topic_score_gemma":0.0013371515,"teacher_disagreement_score":0.96500725,"about_ca_system_score_codex":0.0004961414,"about_ca_system_score_gemma":0.000041732976,"threshold_uncertainty_score":0.9999525},"labels":[],"label_agreement":null},{"id":"W4221145333","doi":"10.1109/tsp.2022.3163671","title":"Deep Generative Models for Downlink Channel Estimation in FDD Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Channel (broadcasting); Computer science; MIMO; Overhead (engineering); Fading; Algorithm; Path (computing); Path loss; Channel state information; Electronic engineering; Telecommunications; Computer network; Engineering; Wireless","score_opus":0.021117184073089046,"score_gpt":0.24349149587078078,"score_spread":0.22237431179769174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221145333","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":[0.0004201893,0.0005099154,0.99720734,0.0000301033,0.00045390034,0.0008984878,0.00005825474,0.0002741975,0.00014761028],"genre_scores_gemma":[0.9810699,0.000009513873,0.016880296,0.000022644415,0.000049058344,0.0017880913,0.00002898005,0.00007114551,0.000080342244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987796,0.00005564411,0.00040193702,0.00028330387,0.00020237746,0.0002771369],"domain_scores_gemma":[0.9995789,0.00007219966,0.000092066155,0.00010952962,0.00009425015,0.000053081658],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001726989,0.00021069932,0.00023710575,0.0003274609,0.00042085905,0.00006625605,0.000110719026,0.0000756323,0.000014390026],"category_scores_gemma":[0.0000018550282,0.00024609044,0.00005907179,0.0004523605,0.000017619515,0.00062538695,0.0000011298685,0.00028956114,0.0000029105547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040846877,0.00004571618,1.3063982e-7,0.0002040896,0.000018962997,0.0000024163526,0.001477159,0.9845174,0.0016981659,0.000034699046,0.000010839533,0.011949555],"study_design_scores_gemma":[0.0006087613,0.00007434388,1.9088104e-7,0.00009588407,0.000022228276,0.000010650047,0.0010866898,0.99254555,0.004731455,0.00055873994,0.000013608959,0.00025192366],"about_ca_topic_score_codex":0.000010760717,"about_ca_topic_score_gemma":0.000013772591,"teacher_disagreement_score":0.9806497,"about_ca_system_score_codex":0.00051336706,"about_ca_system_score_gemma":0.000049892675,"threshold_uncertainty_score":0.9999991},"labels":[],"label_agreement":null},{"id":"W4225539187","doi":"10.22215/etd/2022-14826","title":"Performance Analysis for Supporting Ultra-Reliable Low-Latency Communications in Advanced Wireless Networks","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stochastic geometry; Computer science; Base station; Blocking (statistics); Wireless network; Wireless; Latency (audio); Coverage probability; Interference (communication); Low latency (capital markets); Antenna diversity; Exploit; Computer network; Signal-to-interference-plus-noise ratio; Electronic engineering; Telecommunications; Engineering; Mathematics; Statistics; Channel (broadcasting)","score_opus":0.008729723909753854,"score_gpt":0.2671964920268633,"score_spread":0.25846676811710945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225539187","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":[0.26305798,0.003429461,0.6667047,0.000019668138,0.002565059,0.0048717638,0.00011907028,0.0016652397,0.057567008],"genre_scores_gemma":[0.96829134,0.0018819362,0.009577173,0.00000881066,0.000032351887,0.0015648975,0.013071901,0.00013780771,0.005433806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981067,0.000025448058,0.0009357928,0.00034530656,0.00014461299,0.00044210386],"domain_scores_gemma":[0.9985499,0.0001319367,0.00029865108,0.00083357317,0.0001320011,0.00005395079],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027857776,0.00032680292,0.00060714403,0.00053782645,0.0002191815,0.000031899803,0.0005329723,0.00022770929,0.00025649648],"category_scores_gemma":[0.00002774015,0.00039362867,0.00018217815,0.0016053275,0.00001129339,0.0003345194,0.000023072324,0.00047338402,0.000002907687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019269397,0.000024493484,0.0020396255,0.00039130796,0.00016056467,4.0800603e-7,0.00039680532,0.9922247,0.00025152817,0.00009960203,0.000042134347,0.004349588],"study_design_scores_gemma":[0.00033051966,0.000020281785,0.00066697935,0.00012195759,0.00018894987,4.2510473e-7,0.0013933965,0.99614453,0.00039415483,0.000010637187,0.00030594075,0.00042222196],"about_ca_topic_score_codex":0.000050566203,"about_ca_topic_score_gemma":0.001617046,"teacher_disagreement_score":0.70523334,"about_ca_system_score_codex":0.0003275481,"about_ca_system_score_gemma":0.00004358632,"threshold_uncertainty_score":0.9998516},"labels":[],"label_agreement":null},{"id":"W4225891336","doi":"10.48550/arxiv.2111.10022","title":"Concurrent Transmission and Multiuser Detection of LoRa Signals","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Cisco Systems","keywords":"Transmitter power output; Computer science; Transmission (telecommunications); Telecommunications link; Scalability; Convex optimization; Optimization problem; Power control; Computational complexity theory; Range (aeronautics); Power (physics); Mathematical optimization; Algorithm; Computer network; Regular polygon; Mathematics; Telecommunications","score_opus":0.03742822230421897,"score_gpt":0.17289701843081776,"score_spread":0.1354687961265988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225891336","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":[0.29650888,0.000592209,0.70223737,0.0000010610394,0.00024953406,0.0001761524,0.000008391901,0.000107924694,0.00011848635],"genre_scores_gemma":[0.99822867,0.0011250833,0.00048345327,0.0000015843201,0.000024102152,8.657573e-7,0.00002321094,0.000029587802,0.00008346738],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926275,0.00004695212,0.00018590201,0.0003430187,0.000034547345,0.00012685811],"domain_scores_gemma":[0.99945366,0.000036621488,0.00009441091,0.00023129469,0.00010702726,0.00007697687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060910643,0.00019347426,0.00027965725,0.00013198161,0.00003134768,0.000015164423,0.00010342045,0.00023179874,0.000022731216],"category_scores_gemma":[0.000009256626,0.00024167969,0.00008145141,0.00018401102,0.00003793635,0.00015249138,0.00008777794,0.00025102426,0.0000019250954],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006205195,0.000015162658,0.0001234883,0.0005024913,0.000052065483,0.000017135731,0.00020757734,0.97532344,0.019810736,0.000056624067,0.0000028473914,0.003882217],"study_design_scores_gemma":[0.0004288625,0.000018487282,0.00013043328,0.00036461,0.000082600185,0.0000022704328,0.00020962612,0.9617766,0.036519546,0.00011870035,0.00008571487,0.0002625393],"about_ca_topic_score_codex":0.00002971261,"about_ca_topic_score_gemma":0.000017907741,"teacher_disagreement_score":0.7017539,"about_ca_system_score_codex":0.000100204285,"about_ca_system_score_gemma":0.000021083313,"threshold_uncertainty_score":0.9855412},"labels":[],"label_agreement":null},{"id":"W4226077714","doi":"10.36227/techrxiv.14462172.v2","title":"On The Design of Resilient and Reliable Wireless Backhaul Networks","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Computer science; Wireless network; Computer network; Network topology; Exploit; Distributed computing; Network planning and design; Wireless; Mathematical optimization; Base station; Mathematics","score_opus":0.014372831891969348,"score_gpt":0.2144142393761008,"score_spread":0.20004140748413146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226077714","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":[0.0022091344,0.0006947385,0.98849297,0.000029631732,0.00054246443,0.0007328066,0.000005862072,0.00016260686,0.007129763],"genre_scores_gemma":[0.9791661,0.0013967535,0.01686012,0.00004774681,0.00007247729,0.00029520268,0.000032337284,0.00010690359,0.0020223444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920046,0.000062431944,0.0002625973,0.00020990516,0.00012262042,0.00014200692],"domain_scores_gemma":[0.99914247,0.00024170513,0.000077485645,0.00048111368,0.000030356485,0.000026875092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002949967,0.00017286364,0.0002288816,0.000051680185,0.00005034918,0.000017785263,0.00018381706,0.00012198004,0.00021459913],"category_scores_gemma":[0.000020354566,0.00013317355,0.000031123032,0.000097206306,0.000022511682,0.000024121917,0.00023475758,0.00042183555,0.000002124623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010196521,0.000005837445,0.000010675374,0.00009603946,0.000024887802,8.762227e-7,0.00006255254,0.99135476,0.000048976555,0.0030912582,0.0050950763,0.00019886918],"study_design_scores_gemma":[0.000077906305,0.000023029266,0.000009479969,0.00011802024,0.000011057878,9.79661e-7,0.00008299445,0.99809384,0.00034859928,0.0008240129,0.00026907903,0.00014098476],"about_ca_topic_score_codex":0.00002158995,"about_ca_topic_score_gemma":0.000002646641,"teacher_disagreement_score":0.97695696,"about_ca_system_score_codex":0.00008953029,"about_ca_system_score_gemma":0.00001463495,"threshold_uncertainty_score":0.54306597},"labels":[],"label_agreement":null},{"id":"W4226155980","doi":"10.1109/lcomm.2022.3170319","title":"Robust Secure Energy Efficient Beamforming for mmWave UAV Communications With Jittering","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Benchmark (surveying); Mathematical optimization; Convex optimization; Optimization problem; Transmitter power output; Channel (broadcasting); Robustness (evolution); Iterative method; Artificial noise; Energy consumption; Energy (signal processing); Algorithm; Regular polygon; Telecommunications; Mathematics; Transmitter","score_opus":0.028466507814938032,"score_gpt":0.22569186242195974,"score_spread":0.1972253546070217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226155980","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":[0.0044300095,0.0005262289,0.99020666,0.0026219443,0.00023834928,0.00053324475,0.00009575891,0.00048048072,0.0008673346],"genre_scores_gemma":[0.7842475,0.00010867861,0.2126734,0.0005497927,0.000040569266,0.0018697332,0.00035538975,0.00010252279,0.000052407086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887145,0.00010565216,0.0003612334,0.00019556173,0.0001575942,0.00030851818],"domain_scores_gemma":[0.9964419,0.00026703544,0.00012359009,0.0030322268,0.000073492876,0.00006177149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000203203,0.00020455106,0.00020065912,0.00020702452,0.0011499781,0.00004862749,0.0016377523,0.000036826455,0.000009482904],"category_scores_gemma":[0.00000923909,0.00023687525,0.00007146676,0.00047314298,0.0001272311,0.0001550857,0.00038731215,0.00032824263,0.000003024768],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065203853,0.0000414297,0.000015923017,0.000025772597,0.000052495783,4.623721e-7,0.00083267264,0.98633164,0.009278177,0.0012226409,0.001315169,0.0008771121],"study_design_scores_gemma":[0.0004364233,0.00002892259,0.00000474809,0.000040965653,0.000036123754,0.000030091942,0.00069813046,0.9345836,0.0006831647,0.000016502087,0.06312637,0.00031498022],"about_ca_topic_score_codex":0.00003701576,"about_ca_topic_score_gemma":0.00010200734,"teacher_disagreement_score":0.7798175,"about_ca_system_score_codex":0.00042999687,"about_ca_system_score_gemma":0.000024202673,"threshold_uncertainty_score":0.96594924},"labels":[],"label_agreement":null},{"id":"W4226375155","doi":"10.1109/tsp.2022.3160004","title":"Low-Complexity ADMM-Based Algorithm for Robust Multi-Group Multicast Beamforming in Large-Scale Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Computer science; Computational complexity theory; Beamforming; Robustness (evolution); Algorithm; Convex optimization; MIMO; Convergence (economics); Optimization problem; Multicast; Mathematics; Regular polygon; Distributed computing","score_opus":0.029428358404734983,"score_gpt":0.2536017955927676,"score_spread":0.2241734371880326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226375155","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":[0.00084816583,0.00023905204,0.9965451,0.000007911742,0.0005294286,0.0010224594,0.00029936348,0.00048379911,0.000024748913],"genre_scores_gemma":[0.71664023,0.0000021410517,0.2821626,0.000021796113,0.000050416304,0.0009398782,0.000038044287,0.00009861231,0.00004626498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982294,0.00006185526,0.00054473465,0.0003885772,0.0002636064,0.0005118577],"domain_scores_gemma":[0.99945056,0.00009824324,0.00009920033,0.00017370463,0.00008096102,0.00009735139],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036121503,0.00028419148,0.000333681,0.00036817003,0.00065668725,0.000076381126,0.00017865084,0.00009287567,0.000037308568],"category_scores_gemma":[0.0000020775576,0.00034085746,0.00010613667,0.0005815186,0.00003602784,0.00041946844,0.000002164597,0.0004650955,0.0000039284732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003709066,0.00029437116,0.0000033301426,0.0004313333,0.000010495028,0.0000039797046,0.0003923966,0.933823,0.0022089696,0.0000011606096,0.0000033639103,0.0627905],"study_design_scores_gemma":[0.002054831,0.000089052184,0.0000028102465,0.0002171943,0.000023961602,0.000011792597,0.0014641518,0.99067485,0.0049782526,0.0000037021316,0.00011980252,0.00035958932],"about_ca_topic_score_codex":0.000019105946,"about_ca_topic_score_gemma":0.00008276461,"teacher_disagreement_score":0.71579206,"about_ca_system_score_codex":0.000576908,"about_ca_system_score_gemma":0.00005548178,"threshold_uncertainty_score":0.99990433},"labels":[],"label_agreement":null},{"id":"W4226494600","doi":"10.1109/tvt.2022.3169568","title":"Performance Analysis Over Correlated/Independent Fisher-Snedecor $\\mathcal {F}$ Fading Multiple Access Channels","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fading; Notation; Mathematics; Algorithm; Topology (electrical circuits); Discrete mathematics; Applied mathematics; Combinatorics; Arithmetic; Decoding methods","score_opus":0.010281315081396998,"score_gpt":0.22544401727503752,"score_spread":0.21516270219364053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226494600","genre_codex":"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":[0.38442332,0.00006210739,0.61312073,0.000048495916,0.0009297674,0.00028625532,0.000032531647,0.0010126743,0.00008411562],"genre_scores_gemma":[0.99831903,0.00007174951,0.0006689759,0.00002886804,0.000021110038,0.00056070107,0.000022472626,0.00007437897,0.00023269349],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984287,0.000041845848,0.00040415578,0.00042979023,0.00027254652,0.0004229666],"domain_scores_gemma":[0.99921525,0.00004564433,0.00008525788,0.0005376534,0.000051604435,0.00006461745],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012998447,0.00027664946,0.00038115223,0.001457813,0.00047592592,0.000040013827,0.00047171162,0.00027847174,0.0003943459],"category_scores_gemma":[0.0000052459304,0.00032684326,0.00019358503,0.002654922,0.000048552643,0.00032711742,0.000011688221,0.00088251,0.00003481967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017340837,0.000073744945,0.00090391387,0.000024572684,0.00044226839,0.000022346987,0.00007828214,0.9917852,0.002596706,0.000009444059,0.000035966026,0.0040101567],"study_design_scores_gemma":[0.0005895644,0.00009039716,0.00015134642,0.00001395963,0.00023947725,0.000052713523,0.00013283215,0.9759188,0.021744708,0.000018314206,0.0007113243,0.00033650722],"about_ca_topic_score_codex":0.00002685589,"about_ca_topic_score_gemma":0.000075735836,"teacher_disagreement_score":0.6138957,"about_ca_system_score_codex":0.00047189387,"about_ca_system_score_gemma":0.000017283486,"threshold_uncertainty_score":0.99991834},"labels":[],"label_agreement":null},{"id":"W4229453343","doi":"10.18280/ts.390225","title":"Exponentially-Weighted Based Dynamic Pilot Power Allocation in Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Power (physics); MIMO; Exponential function; Mathematical optimization; Computer science; Heuristic; Interference (communication); Mathematics; Algorithm; Simulation; Statistics; Telecommunications","score_opus":0.008450464529287006,"score_gpt":0.2043232645655329,"score_spread":0.1958728000362459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229453343","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":[0.12461235,0.0004265976,0.87116534,0.00008825719,0.0009777842,0.0013336227,0.00006827124,0.00045394205,0.000873847],"genre_scores_gemma":[0.99746466,0.0000049401115,0.0013770383,0.000034884324,0.000035206074,0.0006671353,0.00026703344,0.00006348088,0.00008564862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984759,0.00013163305,0.0004945407,0.00026250884,0.00033667567,0.00029870335],"domain_scores_gemma":[0.99956197,0.00004620785,0.00009437758,0.00019207886,0.00004540657,0.000059955917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027128166,0.00020599575,0.00021264938,0.00029461994,0.00010203713,0.000035563844,0.00018120273,0.000036417445,0.0007011209],"category_scores_gemma":[0.0000047013855,0.00024541217,0.00004238343,0.00037554032,0.0000143780635,0.00018806597,0.000030475132,0.00017710889,0.000020548407],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049109174,0.000116558585,0.00011959056,0.00006670032,0.00002698188,0.000017444192,0.00024535015,0.9601528,0.038493615,0.0003296832,0.00022651147,0.00015562345],"study_design_scores_gemma":[0.0014939501,0.00019584915,0.00044389005,0.000044989978,0.000013499018,0.0000043725463,0.00039114465,0.9955994,0.0006586266,0.000022648534,0.0008515002,0.00028012609],"about_ca_topic_score_codex":0.000034485787,"about_ca_topic_score_gemma":0.00002517184,"teacher_disagreement_score":0.87285227,"about_ca_system_score_codex":0.00069876265,"about_ca_system_score_gemma":0.000036732283,"threshold_uncertainty_score":0.9999998},"labels":[],"label_agreement":null},{"id":"W4229552225","doi":"10.32920/ryerson.14647992","title":"EMI-aware central processing point deployment in wireless networks for e-healthcare services.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Wireless; EMI; Throughput; Software deployment; Transmitter power output; Wireless network; Integer programming; Computer network; Convex optimization; Linear programming; Interference (communication); Transmission (telecommunications); Electromagnetic interference; Mathematical optimization; Transmitter; Algorithm; Telecommunications; Regular polygon; Mathematics","score_opus":0.011130171275425442,"score_gpt":0.24644601186235765,"score_spread":0.2353158405869322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229552225","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":[0.007803737,0.0029748813,0.98535883,0.000116399824,0.0012474161,0.001645961,0.00002641062,0.0007023172,0.0001240577],"genre_scores_gemma":[0.97788185,0.00042268098,0.019461984,0.00010528495,0.00032358157,0.0006702541,0.0008965795,0.000187198,0.00005059672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785554,0.00003468748,0.0007028001,0.00058092934,0.00015110923,0.0006749102],"domain_scores_gemma":[0.99908406,0.000028207587,0.00014195048,0.00040959773,0.00019199523,0.00014420155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001310279,0.00042858228,0.00057022925,0.00012202622,0.00005396707,0.00014384017,0.00025134522,0.00054003653,0.000013555004],"category_scores_gemma":[0.0000043298433,0.000482245,0.00010819549,0.00020554927,0.000009033453,0.00020619547,0.00021202852,0.0006041729,7.7390445e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076055235,0.000018499763,0.00094302924,0.0076261926,0.000023920244,0.000008540422,0.0007216387,0.98262846,0.000021605225,0.000030043491,0.00003781907,0.007932615],"study_design_scores_gemma":[0.00038468852,0.0000075012745,0.00020318909,0.0028038924,0.000016993197,0.0000043895016,0.0011231848,0.99457264,0.0003247003,0.0000582518,0.00004011003,0.00046048284],"about_ca_topic_score_codex":0.00028867635,"about_ca_topic_score_gemma":0.003502191,"teacher_disagreement_score":0.9700781,"about_ca_system_score_codex":0.0008437215,"about_ca_system_score_gemma":0.0001283973,"threshold_uncertainty_score":0.9997629},"labels":[],"label_agreement":null},{"id":"W4229642473","doi":"10.1007/978-3-030-02158-0_1","title":"Introduction","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Computer science; Augmented reality; Index (typography); The Internet; Wireless; Architecture; Mobile broadband; Telecommunications; Computer network; Multimedia; World Wide Web; Human–computer interaction","score_opus":0.006149707015706732,"score_gpt":0.1850721432087048,"score_spread":0.17892243619299808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229642473","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000005774686,0.0013345998,0.6598644,0.0000193902,0.0042120162,0.0002464164,0.000006571815,0.0008398692,0.33347097],"genre_scores_gemma":[0.011488187,0.0023545935,0.0023268491,0.000036691225,0.0388784,0.00004252648,0.000547952,0.0006200023,0.9437048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.999066,0.000005267525,0.0003029359,0.00029142314,0.00010561551,0.00022874243],"domain_scores_gemma":[0.9993254,0.00001528522,0.00009150965,0.00042578232,0.000081216174,0.0000608388],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006215396,0.00031984967,0.0003174457,0.00008807912,0.000047834754,0.0000271847,0.00012715344,0.0005279975,0.0010792696],"category_scores_gemma":[0.0000024979126,0.00036393688,0.00007134374,0.000035341647,0.000053936714,0.00010066699,0.000028095255,0.0003761443,0.0004845656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050775707,0.0000014547899,4.1007667e-7,0.000055166784,0.00006413732,0.0000037609348,0.000029945933,0.8245027,0.000010192658,0.009017111,0.15316744,0.013142615],"study_design_scores_gemma":[0.00011935124,0.000018249153,4.5771958e-7,0.00017335427,0.000035911213,0.000015078336,0.00000306089,0.4533223,0.000022323218,0.00094253145,0.5448964,0.0004510069],"about_ca_topic_score_codex":6.001199e-7,"about_ca_topic_score_gemma":0.000009649343,"teacher_disagreement_score":0.6575376,"about_ca_system_score_codex":0.00015884674,"about_ca_system_score_gemma":0.000007413202,"threshold_uncertainty_score":0.99988127},"labels":[],"label_agreement":null},{"id":"W4230023159","doi":"10.32920/ryerson.14661888.v1","title":"Optimizing Macro and Micro Base Stations Locations and User Associations in Heterogeneous Wireless Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Heterogeneous network; Computer science; Base station; Channel state information; Interference (communication); User equipment; Macro; Cellular network; Poisson point process; Computer network; Channel (broadcasting); Wireless network; Wireless; Distributed computing; Telecommunications; Point process; Mathematics","score_opus":0.010245643477501551,"score_gpt":0.22864145063042954,"score_spread":0.218395807152928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230023159","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":[0.07286909,0.0028564106,0.9228245,0.0000691113,0.0003140535,0.00051509304,0.000091337846,0.0002396319,0.00022073934],"genre_scores_gemma":[0.8781831,0.0020308555,0.11854524,0.000049764814,0.00006005176,0.00019142649,0.0006900955,0.00008720725,0.00016223168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987497,0.00006136973,0.00045912626,0.00038988778,0.00007925656,0.00026068513],"domain_scores_gemma":[0.99925464,0.00014442872,0.000093799936,0.00029769415,0.000117522126,0.000091937196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000118410724,0.00026979344,0.00034421208,0.00019045708,0.00010116712,0.0002145771,0.000081689745,0.000301775,0.000019247034],"category_scores_gemma":[0.000032007047,0.00034003734,0.00003856112,0.00020321475,0.00003010279,0.00018452144,0.00019156229,0.0004211475,9.3682604e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.218546e-7,0.00001524767,0.0012663752,0.00010509282,0.000054553075,0.000007604074,0.00060139166,0.99712175,0.00023939634,0.00006842294,0.00007097528,0.0004484516],"study_design_scores_gemma":[0.0002718147,0.0000034460436,0.00081631995,0.00019527876,0.0000396516,0.000012675945,0.00038357126,0.99747163,0.0003664477,0.000040954532,0.00003642161,0.00036180048],"about_ca_topic_score_codex":0.00018440679,"about_ca_topic_score_gemma":0.0019699936,"teacher_disagreement_score":0.80531406,"about_ca_system_score_codex":0.00024052043,"about_ca_system_score_gemma":0.00004732062,"threshold_uncertainty_score":0.99990517},"labels":[],"label_agreement":null},{"id":"W4230879051","doi":"10.32920/ryerson.14652336.v1","title":"Solving Channel Allocation by Reinforcement Learning in Cognitive Enabled Vehicular Ad Hoc Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reinforcement learning; Computer science; Vehicular ad hoc network; Dynamic programming; Channel (broadcasting); Wireless ad hoc network; Mathematical optimization; Channel allocation schemes; Q-learning; Cognitive radio; Artificial intelligence; Computer network; Wireless; Algorithm; Mathematics; Telecommunications","score_opus":0.010010348781601808,"score_gpt":0.22183160338615168,"score_spread":0.21182125460454987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230879051","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":[0.00401089,0.009440808,0.98154366,0.000017552347,0.00056299026,0.00080968,0.0000014023703,0.0005058833,0.003107156],"genre_scores_gemma":[0.9887419,0.0048528844,0.0023129233,0.000036244724,0.00009813098,0.0003898115,0.0018466493,0.000105263374,0.0016162231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983167,0.00007265235,0.0005706923,0.00046057525,0.00017914879,0.00040019967],"domain_scores_gemma":[0.99928343,0.00007233419,0.00014917276,0.00023970859,0.00018471843,0.000070637674],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027939424,0.00036861212,0.00042795806,0.00015953217,0.000059664933,0.00011380626,0.00012980188,0.00043707772,0.000079243495],"category_scores_gemma":[0.000106362764,0.00044868747,0.000076876386,0.00023282124,0.0000126009545,0.00022931096,0.00023282705,0.00095387275,0.00000675933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000628202,0.000009522665,0.000027823604,0.00022582599,0.00007747965,0.00000919339,0.00075253926,0.9966106,0.00029142838,0.0000049324444,0.00014928762,0.0018350884],"study_design_scores_gemma":[0.0004447514,0.000015148477,0.000016143855,0.001308279,0.000028076724,0.0000019647623,0.0012692962,0.9951792,0.0011295784,0.000008691601,0.00015254035,0.0004463358],"about_ca_topic_score_codex":0.000040798797,"about_ca_topic_score_gemma":0.000083202634,"teacher_disagreement_score":0.98473096,"about_ca_system_score_codex":0.0004471107,"about_ca_system_score_gemma":0.00004604683,"threshold_uncertainty_score":0.9997965},"labels":[],"label_agreement":null},{"id":"W4231200963","doi":"10.32920/ryerson.14664615","title":"Graph Coloring and Ant Colony Optimization based Sub-channel Allocation Algorithms for LTE-A HetNets","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ant colony optimization algorithms; Computer science; Graph coloring; Graph; ANT; Optimization algorithm; Mathematical optimization; Algorithm; Theoretical computer science; Computer network; Mathematics","score_opus":0.019768326592034948,"score_gpt":0.24055271172833592,"score_spread":0.22078438513630097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231200963","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":[0.001855045,0.00096559274,0.9930325,0.00006099152,0.0013531969,0.0017432608,0.000054606804,0.00065319205,0.00028158128],"genre_scores_gemma":[0.50929415,0.00093143637,0.48567244,0.00005599789,0.00023443863,0.0013111768,0.0021914246,0.00019935313,0.00010953888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99840385,0.000038594993,0.0005115671,0.00057453074,0.00015680691,0.00031463106],"domain_scores_gemma":[0.9988845,0.00012025848,0.0001505579,0.0003740858,0.00036055877,0.000110046865],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022664061,0.00039795216,0.00045461187,0.00025368505,0.0001061357,0.00016380005,0.00012869349,0.0004248141,0.000011493512],"category_scores_gemma":[0.00008074319,0.00047286676,0.00009890915,0.00022165164,0.00002796718,0.00023874635,0.000107359214,0.00023547244,8.4370305e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011306478,0.000021694303,0.000013567665,0.0007748174,0.00006105099,0.0000022212507,0.00012981555,0.99758625,0.00074886903,0.00004596263,0.00012699104,0.00047742767],"study_design_scores_gemma":[0.00062808447,0.000035044202,0.000019735473,0.00028268233,0.000060790906,0.0000043395,0.00012476633,0.9899145,0.008318377,0.00009026009,0.00004574822,0.00047572088],"about_ca_topic_score_codex":0.00003739314,"about_ca_topic_score_gemma":0.00007617232,"teacher_disagreement_score":0.50743914,"about_ca_system_score_codex":0.00023427092,"about_ca_system_score_gemma":0.00007576719,"threshold_uncertainty_score":0.9997723},"labels":[],"label_agreement":null},{"id":"W4231548924","doi":"10.22215/etd/2011-09551","title":"Interference from large wireless networks under correlated shadowing","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Interference (communication); Computer science; Telecommunications; Wireless; Channel (broadcasting)","score_opus":0.009932659634211062,"score_gpt":0.21575164125114552,"score_spread":0.20581898161693446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231548924","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":[0.0115109915,0.00096048496,0.9442116,5.079023e-7,0.00395097,0.00027068768,0.000021150761,0.0009730207,0.038100567],"genre_scores_gemma":[0.98466855,0.00021785179,0.0012993953,0.00001760024,0.00015368623,0.0000437121,0.0044534286,0.00018105659,0.008964735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988214,0.000020574356,0.00042627502,0.00031936038,0.00009023114,0.0003221661],"domain_scores_gemma":[0.9993834,0.000044661138,0.00010352402,0.00031093854,0.00008504636,0.00007244478],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004729613,0.00036841846,0.00037508566,0.00010989488,0.000051959138,0.00004102429,0.00022411358,0.0006281437,0.00077253836],"category_scores_gemma":[0.0000072540483,0.00038933058,0.00007410651,0.00017375413,0.0000060608927,0.00021829392,0.000018737079,0.00051887525,0.00014139878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056522043,0.00003911669,0.00029621916,0.0001870678,0.00039045356,0.000012038935,0.0019062404,0.98636854,0.00083505124,0.0024008104,0.0014867699,0.006021175],"study_design_scores_gemma":[0.00035083052,0.000012137871,0.0004721846,0.0007983832,0.000077994795,0.0000010704233,0.0012213599,0.99520326,0.0007794012,0.0003200587,0.000097688804,0.00066560495],"about_ca_topic_score_codex":0.00018433126,"about_ca_topic_score_gemma":0.0012093011,"teacher_disagreement_score":0.9731575,"about_ca_system_score_codex":0.000098936915,"about_ca_system_score_gemma":0.000016681404,"threshold_uncertainty_score":0.9998559},"labels":[],"label_agreement":null},{"id":"W4231814690","doi":"10.22215/etd/2011-07414","title":"Coordinated multi-point transmission for interference mitigation in cellular distributed antenna systems","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Interference (communication); Transmission (telecommunications); Telecommunications; Point (geometry); Computer science; Electrical engineering; Engineering; Mathematics; Channel (broadcasting)","score_opus":0.014160577430308099,"score_gpt":0.23224791016986368,"score_spread":0.21808733273955558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231814690","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":[0.0028330632,0.0010526828,0.99182093,0.0000024587132,0.0012035177,0.0019255702,0.00016626122,0.00049162586,0.00050388643],"genre_scores_gemma":[0.9735443,0.00012553447,0.0068707447,0.0000015276216,0.000041982377,0.00061686727,0.016269729,0.00015253379,0.0023767902],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984025,0.000039870924,0.00082210783,0.00032847386,0.00007881122,0.0003282523],"domain_scores_gemma":[0.99921596,0.000044597975,0.00016762386,0.00023775472,0.0002456007,0.000088475106],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001487476,0.00041626985,0.00051765563,0.00030397132,0.000044120803,0.000044079086,0.00018856316,0.00052636815,0.000030068672],"category_scores_gemma":[0.00003948082,0.00042205706,0.00009726722,0.00029784854,0.00001069915,0.00026162568,0.0000050589533,0.00025842056,0.000012022865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006019544,0.00035960617,0.00015190814,0.016330251,0.00029466077,0.000025980156,0.006888033,0.38089505,0.58088595,0.0020979485,0.0008189503,0.010649718],"study_design_scores_gemma":[0.0008673245,0.00005471043,0.000053751617,0.0020052367,0.000043745436,0.000001936095,0.0019379413,0.9444777,0.04978963,0.00010518558,0.000086172346,0.0005767111],"about_ca_topic_score_codex":0.00017016374,"about_ca_topic_score_gemma":0.00025453823,"teacher_disagreement_score":0.9849502,"about_ca_system_score_codex":0.00022288896,"about_ca_system_score_gemma":0.000029876071,"threshold_uncertainty_score":0.99982315},"labels":[],"label_agreement":null},{"id":"W4232458455","doi":"10.1007/978-3-319-57388-5_3","title":"Power-Efficient Joint User-Association and Resource-Allocation in Multi-Cell VWN","year":2017,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"McGill University","funders":"","keywords":"Mathematical optimization; Geometric programming; Resource allocation; Computer science; Convex optimization; Transmitter power output; Optimization problem; Association (psychology); Power (physics); Joint (building); Regular polygon; Computational complexity theory; Iterative method; Algorithm; Mathematics; Engineering; Computer network","score_opus":0.00745755209678516,"score_gpt":0.18383383747119358,"score_spread":0.17637628537440841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232458455","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":[0.009063588,0.00700988,0.9727321,0.00005210996,0.0006997576,0.0009693561,0.0000076934575,0.00053397275,0.00893151],"genre_scores_gemma":[0.9609858,0.0013360737,0.024477547,0.000046371984,0.00041580995,0.00007097541,0.0000331401,0.00034701932,0.012287294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985274,0.000010117968,0.00048123504,0.00042458114,0.00017208704,0.0003845544],"domain_scores_gemma":[0.99942577,0.00006824616,0.00012638555,0.000250757,0.000035535748,0.00009333579],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021631963,0.00037607638,0.00047136197,0.00044156506,0.000042774478,0.00009570052,0.00012717527,0.00038426396,0.0000026657845],"category_scores_gemma":[0.000028361195,0.00045058626,0.00004888245,0.000061552666,0.000012876312,0.000097464115,0.000098677,0.00065070746,0.000004946588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005067376,0.000028359487,0.0002254563,0.00022063586,0.000028875218,0.000024806373,0.00021554859,0.9891554,0.00031666303,0.002065332,0.00005400702,0.007659825],"study_design_scores_gemma":[0.0006722433,0.000035848807,0.0023215215,0.00040571857,0.000010612265,0.000008259089,9.863987e-7,0.9874588,0.00014535271,0.000034389326,0.008410814,0.0004954306],"about_ca_topic_score_codex":0.000013907556,"about_ca_topic_score_gemma":0.000011660897,"teacher_disagreement_score":0.9519222,"about_ca_system_score_codex":0.0005728488,"about_ca_system_score_gemma":0.000014022079,"threshold_uncertainty_score":0.9997946},"labels":[],"label_agreement":null},{"id":"W4232619011","doi":"10.1090/conm/618/12329","title":"Deterministic and Stochastic SIR Epidemic Models with Power Function Transmission and Recovery Rates","year":2014,"lang":"en","type":"other","venue":"Contemporary mathematics - American Mathematical Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Epidemic model; Transmission (telecommunications); Function (biology); Applied mathematics; Statistics; Statistical physics; Demography; Computer science; Evolutionary biology","score_opus":0.014598795820373293,"score_gpt":0.2279043806081846,"score_spread":0.2133055847878113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232619011","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":[0.0001376679,0.0022238453,0.94879615,0.000021889919,0.00006543843,0.0009806036,0.00003452805,0.00072473247,0.047015168],"genre_scores_gemma":[0.34019,0.0013991888,0.6052217,0.00035432834,0.0003198767,0.000643803,0.00017484502,0.004056466,0.047639806],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980871,0.000060913524,0.00070731546,0.00050841644,0.00027019577,0.0003660369],"domain_scores_gemma":[0.99817836,0.0006260973,0.00045725412,0.0004721203,0.000042354164,0.00022382494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003071374,0.00070180587,0.001337978,0.000105873994,0.00008135875,0.00007533687,0.00014660039,0.00030982454,0.000096246426],"category_scores_gemma":[0.00006213808,0.000566347,0.00013863172,0.00019839486,0.00050331384,0.00018143085,0.000048677037,0.00035641948,0.000024558338],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005870208,0.0018820202,0.00004527164,0.12500106,0.010031519,0.00009536173,0.03637693,0.228144,0.0022460504,0.06121313,0.47981197,0.05456568],"study_design_scores_gemma":[0.0007293492,0.0003631837,0.0000018232256,0.003369767,0.00026487245,0.000067569876,0.0011683406,0.9617075,0.0000060123666,0.02917752,0.0020889556,0.0010551595],"about_ca_topic_score_codex":0.000005029935,"about_ca_topic_score_gemma":8.323374e-7,"teacher_disagreement_score":0.7335634,"about_ca_system_score_codex":0.00006394367,"about_ca_system_score_gemma":0.00004321927,"threshold_uncertainty_score":0.9996788},"labels":[],"label_agreement":null},{"id":"W4233047538","doi":"10.1109/glocom.2014.7417434","title":"Effective Data Rate Based Rank Adaptive Receive Antenna Selection","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Beamforming; Telecommunications link; Physical layer; Subspace topology; Antenna (radio); Interference (communication); Signal subspace; Selection algorithm; Channel (broadcasting); Algorithm; Spectral efficiency; Selection (genetic algorithm); Adaptive beamformer; Electronic engineering; Real-time computing; Computer network; Wireless; Telecommunications; Engineering; Artificial intelligence","score_opus":0.046797410871469367,"score_gpt":0.2987096779602413,"score_spread":0.2519122670887719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233047538","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":[0.0006895017,0.0003980515,0.9772256,0.0003434113,0.00055498356,0.0009713423,0.00038181737,0.0007947765,0.018640498],"genre_scores_gemma":[0.95998967,0.0002852446,0.03864737,0.00009990347,0.00008291122,0.0001849515,0.0006152369,0.000042597265,0.000052099636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768764,0.00074679137,0.0004893704,0.00047751467,0.00018284678,0.00041584767],"domain_scores_gemma":[0.9953355,0.0004032168,0.00019580619,0.003277105,0.00062605034,0.00016228839],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074788183,0.0003672832,0.00041791273,0.00010466268,0.0003194644,0.0001200539,0.0020686195,0.00019536713,0.000057405083],"category_scores_gemma":[0.0003197098,0.0004057334,0.00006169254,0.0007543395,0.00018558817,0.00082002964,0.00028508974,0.00039351717,0.00027510757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046476533,0.00072157755,0.0037519517,0.00034119803,0.00090084353,0.0000039813144,0.0006997638,0.69398427,0.012420963,0.043494835,0.054582782,0.1886331],"study_design_scores_gemma":[0.0008025641,0.000076604985,0.0012718271,0.00011241534,0.00006265543,0.0000075280277,0.00009580452,0.9888521,0.00037667697,0.0009136576,0.007004799,0.0004233982],"about_ca_topic_score_codex":0.00028648524,"about_ca_topic_score_gemma":0.0016871518,"teacher_disagreement_score":0.95930016,"about_ca_system_score_codex":0.000490543,"about_ca_system_score_gemma":0.00012635524,"threshold_uncertainty_score":0.9998394},"labels":[],"label_agreement":null},{"id":"W4233364562","doi":"10.32920/14637366","title":"Optimal Power Allocation for MIMO-MAC in Cognitive Radio Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cognitive radio; Computer science; Lagrange multiplier; MIMO; Mathematical optimization; Optimization problem; Maximization; Computation; Quality of service; Inner loop; Transmitter power output; Computer network; Wireless; Channel (broadcasting); Mathematics; Algorithm; Telecommunications; Transmitter","score_opus":0.012910700637110847,"score_gpt":0.2529424988425403,"score_spread":0.24003179820542941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233364562","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":[0.0040198653,0.0022112704,0.9872752,0.000019006711,0.0012862646,0.0013039754,0.000020438358,0.00031260375,0.0035513912],"genre_scores_gemma":[0.91228366,0.00032453565,0.08478131,0.000028261313,0.00018376575,0.0007013577,0.0011214818,0.00010929576,0.00046635055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987673,0.000028771681,0.00042904122,0.0004043631,0.000084456835,0.0002860344],"domain_scores_gemma":[0.9992966,0.0001301416,0.00007442225,0.0002482236,0.00019619473,0.00005442984],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015505984,0.00028943896,0.00037800748,0.00013598731,0.000022248061,0.00006970579,0.00012187487,0.00042688704,0.00010030848],"category_scores_gemma":[0.0000681661,0.0003446932,0.00009998471,0.00015160679,0.000014833429,0.00015232418,0.0000970436,0.00038583323,0.0000035762166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013443016,0.000016647698,0.0000593484,0.00013798925,0.000064869055,0.000003898563,0.00032634308,0.9978594,0.00004039606,0.00006556328,0.00038131286,0.0010307488],"study_design_scores_gemma":[0.0005288467,0.000013724987,0.00007637522,0.00045857503,0.000027815608,0.000003548431,0.00047426368,0.9973251,0.0005425827,0.000023765966,0.0001455643,0.00037983333],"about_ca_topic_score_codex":0.000018203391,"about_ca_topic_score_gemma":0.000087291904,"teacher_disagreement_score":0.9082638,"about_ca_system_score_codex":0.00024247446,"about_ca_system_score_gemma":0.00004794339,"threshold_uncertainty_score":0.9999005},"labels":[],"label_agreement":null},{"id":"W4233369058","doi":"10.32920/ryerson.14645160.v1","title":"Performance Analysis Of VSF-OFCDM Femtocells","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Femtocell; Femto-; Orthogonal frequency-division multiplexing; Computer science; Macro; Telecommunications link; Subcarrier; Interference (communication); Electronic engineering; Computer network; Channel (broadcasting); Engineering; Base station","score_opus":0.011078887994844952,"score_gpt":0.2194164085907559,"score_spread":0.20833752059591093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233369058","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":[0.24260065,0.00065492175,0.73129165,0.0000037821396,0.0005864191,0.00024072954,0.000025559271,0.00032684952,0.024269424],"genre_scores_gemma":[0.9719735,0.00055567716,0.026317284,0.000004861333,0.000039129733,0.00002805629,0.00026237685,0.000038288457,0.0007808647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901396,0.000014569378,0.00044104623,0.00024521578,0.0001364117,0.0001487938],"domain_scores_gemma":[0.99910414,0.000023935483,0.00010190129,0.0005962595,0.00013376478,0.000040025636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008416719,0.00020432021,0.0005840098,0.00036478136,0.000012966011,0.000023381168,0.00017902255,0.00021001925,0.0003497871],"category_scores_gemma":[0.000010961063,0.00021858866,0.00020478474,0.0006833593,0.00001362845,0.00008515227,0.00015202054,0.0002148554,0.000008259071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.555586e-7,0.0000074329696,0.0019157582,0.0005216497,0.0009128534,9.820486e-7,0.00016295107,0.9947744,0.0008354854,0.000009500576,0.00006128057,0.00079686544],"study_design_scores_gemma":[0.000053018393,0.0000037251718,0.0010483601,0.00009188029,0.00052925845,4.0531947e-7,0.0000787664,0.98739386,0.010540986,0.0000025325012,0.000043978045,0.00021324931],"about_ca_topic_score_codex":0.00002807085,"about_ca_topic_score_gemma":0.0000378275,"teacher_disagreement_score":0.7293728,"about_ca_system_score_codex":0.00008613237,"about_ca_system_score_gemma":0.000026412363,"threshold_uncertainty_score":0.8913787},"labels":[],"label_agreement":null},{"id":"W4233627742","doi":"10.32920/ryerson.14668491","title":"Analysis of impact of machine-type-communication on human-type communication over wireless communication networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer network; Computer science; Quality of service; Wireless; Wireless network; Markov chain; Radio resource management; Blocking (statistics); Call blocking; Channel (broadcasting); Telecommunications","score_opus":0.024339585450467348,"score_gpt":0.3209376872230147,"score_spread":0.29659810177254736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233627742","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":[0.7576572,0.018024424,0.21186316,0.000033509015,0.00029705974,0.0014331694,0.00012095692,0.00061515253,0.009955372],"genre_scores_gemma":[0.9734557,0.009725137,0.007193237,0.000010793647,0.0000148360205,0.000034850997,0.0093643665,0.00010231419,0.00009873615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972102,0.00057722523,0.0013419917,0.00034327296,0.00029455166,0.00023274159],"domain_scores_gemma":[0.9922333,0.00038685516,0.0009737358,0.005497685,0.0008369541,0.00007149878],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060033036,0.0004634745,0.0012046946,0.00070603646,0.00012184374,0.00006316728,0.0013358904,0.0006026812,0.00027702266],"category_scores_gemma":[0.000068290574,0.00048917846,0.000497857,0.0017209363,0.000114860515,0.00024665226,0.00078117684,0.0009906377,0.0000022334207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030830583,0.00012157246,0.0056162584,0.00019957674,0.0023209336,1.5567998e-7,0.0005739623,0.9884079,0.0013191641,0.00055862806,0.0001894876,0.0006614916],"study_design_scores_gemma":[0.0003026583,0.000049682636,0.016154954,0.0007012809,0.00087353325,5.5311875e-7,0.00012776436,0.98051935,0.0007695258,0.00008877117,0.000012552385,0.0003993942],"about_ca_topic_score_codex":0.0023999568,"about_ca_topic_score_gemma":0.0014449529,"teacher_disagreement_score":0.21579853,"about_ca_system_score_codex":0.0005390501,"about_ca_system_score_gemma":0.000069569534,"threshold_uncertainty_score":0.999756},"labels":[],"label_agreement":null},{"id":"W4234058392","doi":"10.1109/glocom.2014.7417139","title":"Downlink Performance and User Scheduling of HetNet with Large-Scale Antenna Arrays","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Telecommunications link; Computer science; Precoding; MIMO; Heterogeneous network; Scheduling (production processes); Base station; Macro; Channel state information; Small cell; Multi-user MIMO; Computer network; Spectral efficiency; Channel (broadcasting); Wireless; Wireless network; Mathematical optimization; Telecommunications; Mathematics","score_opus":0.01658877974838639,"score_gpt":0.2486007455295781,"score_spread":0.2320119657811917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234058392","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":[0.12456671,0.00060535566,0.86456007,0.00017800259,0.0001433435,0.0003292317,0.00009246058,0.00026680977,0.009258012],"genre_scores_gemma":[0.89425844,0.0008931687,0.10464765,0.000027263173,0.000023679206,0.00003244815,0.000056070006,0.000021810976,0.000039446644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988518,0.00008250583,0.0003986402,0.00021168965,0.0001501826,0.00030519508],"domain_scores_gemma":[0.99793077,0.000059883478,0.00014503112,0.0014150463,0.0003335014,0.000115748706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026343702,0.00023036705,0.0003325057,0.000060166156,0.00016928802,0.00005052963,0.00066605816,0.00011305125,0.000015506226],"category_scores_gemma":[0.00002871044,0.00022197582,0.000030822463,0.0003231895,0.00019273373,0.00042506406,0.00013342705,0.00021956915,0.00002634711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013198172,0.0004659781,0.12807332,0.0010083347,0.00033993015,0.0000012515454,0.0021206683,0.81258154,0.0063074096,0.030400401,0.0021887845,0.016380414],"study_design_scores_gemma":[0.0006726386,0.000067305205,0.002281312,0.00025612058,0.000032106687,0.000017454977,0.00033923847,0.9915957,0.00027054193,0.000119654374,0.0040403223,0.00030764873],"about_ca_topic_score_codex":0.00003697633,"about_ca_topic_score_gemma":0.00044309627,"teacher_disagreement_score":0.76969177,"about_ca_system_score_codex":0.000080926184,"about_ca_system_score_gemma":0.000047421356,"threshold_uncertainty_score":0.9051911},"labels":[],"label_agreement":null},{"id":"W4234083306","doi":"10.32920/14640453.v1","title":"Energy-Efficient Cognitive Radio Sensor Networks: Parametric and Convex Transformations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematical optimization; Fractional programming; Cognitive radio; Optimization problem; Wireless sensor network; Computer science; Nonlinear programming; Geometric programming; Parametric programming; Convergence (economics); Convex optimization; Iterative method; Transformation (genetics); Parametric statistics; Efficient energy use; Nonlinear system; Wireless; Mathematics; Regular polygon; Telecommunications; Engineering; Computer network","score_opus":0.009384411221984124,"score_gpt":0.2122315108340686,"score_spread":0.20284709961208447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234083306","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":[0.005927044,0.0052187904,0.98264766,0.000013270225,0.000708371,0.0004106997,0.000040308554,0.0004863329,0.0045475196],"genre_scores_gemma":[0.98501325,0.002322843,0.011756509,0.000029005132,0.000102381935,0.00013642722,0.00040792386,0.000061722494,0.00016996961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988697,0.00004908214,0.0004069676,0.00030531888,0.00012191675,0.00024701213],"domain_scores_gemma":[0.99929005,0.00018155477,0.00006213891,0.00020639822,0.00015285808,0.000107009815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008665545,0.00029733081,0.0003983167,0.0002456731,0.000060365175,0.00011744755,0.00006970359,0.00030269957,0.000054350006],"category_scores_gemma":[0.00003159577,0.00031896555,0.00008120817,0.00038646747,0.000035889687,0.00008625746,0.000059262497,0.00033967898,0.0000034292145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020868347,0.000013630395,0.0000126313735,0.00015971581,0.00009879978,0.000005338179,0.00031081546,0.9958952,0.0000090050335,0.00014299653,0.00006338367,0.0032863866],"study_design_scores_gemma":[0.00029523481,0.000006796755,0.000036236892,0.00022249382,0.00007236378,0.00002221739,0.00067642203,0.9978319,0.00036874416,0.000014668193,0.00010789198,0.00034507166],"about_ca_topic_score_codex":0.000025602298,"about_ca_topic_score_gemma":0.000016054728,"teacher_disagreement_score":0.97908616,"about_ca_system_score_codex":0.000104940555,"about_ca_system_score_gemma":0.000029802786,"threshold_uncertainty_score":0.99992627},"labels":[],"label_agreement":null},{"id":"W4234352641","doi":"10.32920/14639622","title":"Renewable energy assisted traffic aware cellular base station energy cooperation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Research Foundation of Korea; Ministry of Science, ICT and Future Planning; National Research Foundation","keywords":"Renewable energy; Base station; Environmental science; Grid; Computer science; Wind power; Intermittent energy source; Energy (signal processing); Engineering; Telecommunications; Distributed generation; Electrical engineering; Physics; Mathematics","score_opus":0.012006698445069483,"score_gpt":0.2052306246463538,"score_spread":0.1932239262012843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234352641","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":[0.0015426562,0.001181958,0.9910977,0.000020844453,0.0014407357,0.00016432125,0.000047032987,0.0011171346,0.0033876488],"genre_scores_gemma":[0.95774895,0.00056070345,0.023425924,0.000056900095,0.00029163543,0.0002412641,0.010780072,0.00018455778,0.0067100176],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811834,0.00012243331,0.00063989137,0.0005847649,0.00023213452,0.0003024215],"domain_scores_gemma":[0.9986885,0.000043558888,0.00013558408,0.00065526675,0.00035858815,0.00011845787],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000106739884,0.0004420358,0.00045283927,0.00022057613,0.00008852149,0.00021705154,0.00017155979,0.00051839906,0.0003376836],"category_scores_gemma":[0.000029181288,0.0005131633,0.00011680647,0.00032092878,0.00001494585,0.00029802887,0.00010298133,0.00021274367,0.000005437882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004097469,0.00002963503,0.0000012081,0.000217829,0.00006962872,0.000020649042,0.000090851194,0.9807628,0.012292026,0.00014699168,0.0030969915,0.0032673285],"study_design_scores_gemma":[0.00026881485,0.000012768029,0.0000019326224,0.00017677464,0.000042861222,0.0000054466736,0.00015723538,0.9349794,0.06118215,0.000023746605,0.0026312084,0.00051769137],"about_ca_topic_score_codex":0.0016483825,"about_ca_topic_score_gemma":0.0063325455,"teacher_disagreement_score":0.96767175,"about_ca_system_score_codex":0.00043189933,"about_ca_system_score_gemma":0.00015934053,"threshold_uncertainty_score":0.999732},"labels":[],"label_agreement":null},{"id":"W4234840464","doi":"10.36227/techrxiv.14462172","title":"On The Design of Resilient and Reliable Wireless Backhaul Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ultra Electronics (Canada); École de Technologie Supérieure","funders":"","keywords":"Backhaul (telecommunications); Computer science; Wireless network; Computer network; Network topology; Exploit; Distributed computing; Wireless; Mathematical optimization; Base station; Mathematics; Telecommunications","score_opus":0.01349090036190597,"score_gpt":0.20820843774526815,"score_spread":0.19471753738336217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234840464","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":[0.00520463,0.0011012563,0.9893495,0.000025315618,0.00043473125,0.00048703008,0.0000019221154,0.00011562643,0.003280023],"genre_scores_gemma":[0.97362876,0.00142724,0.024056792,0.00002933708,0.00005774274,0.0000753372,0.000019799943,0.00006207277,0.00064294355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992309,0.000050765648,0.00026469814,0.00021690933,0.00009725521,0.00013945605],"domain_scores_gemma":[0.9991397,0.00021256758,0.00006627345,0.00048344853,0.00006766147,0.000030303276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020712316,0.00017768417,0.00025787897,0.00003686601,0.000027181519,0.0000348471,0.00012831863,0.00019588316,0.00005303988],"category_scores_gemma":[0.000028741355,0.00013352497,0.000033538494,0.00008994511,0.000023654817,0.000032135373,0.0001409596,0.00031727113,0.0000018100194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052292175,0.000005741545,0.000008282555,0.00013522686,0.000030332192,0.000001510715,0.00007060065,0.99637455,0.00017140516,0.0010853166,0.0018470725,0.00026471057],"study_design_scores_gemma":[0.00007351151,0.0000116707115,0.000011671706,0.00044742628,0.000012654254,0.000001557355,0.000102669655,0.9966572,0.0022438376,0.0002655547,0.00003294562,0.00013933754],"about_ca_topic_score_codex":0.000019397945,"about_ca_topic_score_gemma":0.0000067015417,"teacher_disagreement_score":0.9684241,"about_ca_system_score_codex":0.00005277953,"about_ca_system_score_gemma":0.000018609579,"threshold_uncertainty_score":0.544499},"labels":[],"label_agreement":null},{"id":"W4235101716","doi":"10.22215/etd/2015-10717","title":"Resource Allocation and Interference Management in Heterogeneous Wireless Networks","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heterogeneous network; Interference (communication); Computer science; Radio resource management; Single antenna interference cancellation; Spectral efficiency; Resource allocation; Computer network; Distributed computing; Cellular network; Frequency allocation; Wireless network; Physical layer; Wireless; Base station; Telecommunications; Channel (broadcasting)","score_opus":0.008548456842470941,"score_gpt":0.23315984000177092,"score_spread":0.2246113831593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235101716","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":[0.12198989,0.006401401,0.7217256,0.000015464311,0.0018147654,0.0022984198,0.0000058634555,0.0011147672,0.14463387],"genre_scores_gemma":[0.99383456,0.0005607634,0.0013012863,0.0000079917945,0.000044097473,0.00010482805,0.0006445483,0.00006925586,0.0034326762],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992338,0.000018227269,0.00028118838,0.00022394749,0.00008400217,0.0001588577],"domain_scores_gemma":[0.9996738,0.000011089928,0.00005026425,0.00017873589,0.000038497954,0.000047599704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008343568,0.00020123097,0.00019650768,0.00016209208,0.000014065945,0.000032322598,0.0000973735,0.0001874969,0.000007176626],"category_scores_gemma":[0.0000031355708,0.00022327885,0.000014296848,0.00013724079,0.0000059965446,0.00008065184,0.000016341588,0.0001504817,0.000005656348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018069253,0.0000058135743,0.000014411823,0.0002489499,0.00002739919,0.0000071250993,0.0003598192,0.953585,0.000028050787,0.0001920205,0.0003281531,0.04518515],"study_design_scores_gemma":[0.00031487938,0.000018646722,0.00009061685,0.00043602329,0.000022852122,0.0000055367873,0.0010449073,0.99672264,0.00020423383,0.00013551376,0.0006346255,0.00036952787],"about_ca_topic_score_codex":0.000014383689,"about_ca_topic_score_gemma":0.00067261094,"teacher_disagreement_score":0.87184465,"about_ca_system_score_codex":0.00014468686,"about_ca_system_score_gemma":0.0000047930416,"threshold_uncertainty_score":0.91050476},"labels":[],"label_agreement":null},{"id":"W4235438896","doi":"10.22215/etd/2014-10595","title":"Stochastic Optimization for Emerging Wireless Networking Paradigms with Imperfect Network State Information","year":2014,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Alberta","funders":"","keywords":"Computer science; Wireless network; Markov decision process; Wireless; Distributed computing; Computer network; Optimization problem; Base station; Stochastic geometry models of wireless networks; Radio resource management; Markov process; Telecommunications","score_opus":0.0038240615471515026,"score_gpt":0.2043272456889303,"score_spread":0.20050318414177878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235438896","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":[0.0010037479,0.00025532805,0.9909842,0.0000031809263,0.0022732168,0.0017474929,0.000014370902,0.0008792295,0.0028392095],"genre_scores_gemma":[0.8385176,0.00044877618,0.12668647,0.000082105216,0.0026447438,0.0023399324,0.02665466,0.0008481749,0.0017775539],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813116,0.000027710728,0.00074253185,0.0002792644,0.00022989765,0.0005894268],"domain_scores_gemma":[0.9988007,0.0001292831,0.00040567172,0.00030003424,0.000266108,0.000098193275],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023368579,0.0005457423,0.00054936,0.00023030493,0.0002160498,0.00016987686,0.00016862212,0.0002859713,0.000020095798],"category_scores_gemma":[0.000018158707,0.00053131644,0.00008810078,0.00041941847,0.000011793289,0.00087883056,0.00000837609,0.00025265,0.000010716005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105418294,0.000003046936,0.0000071648938,0.00064883503,0.0001004778,2.05948e-7,0.00043329617,0.98163205,0.000004958966,0.00019990203,0.00066171115,0.016202927],"study_design_scores_gemma":[0.0006460217,0.00007864662,0.000006823521,0.00069047284,0.00009896974,0.0000032175483,0.00017009862,0.9964861,0.000047130976,0.00007287185,0.0010403285,0.00065928965],"about_ca_topic_score_codex":0.0000148189865,"about_ca_topic_score_gemma":0.00018448161,"teacher_disagreement_score":0.86429775,"about_ca_system_score_codex":0.00019411348,"about_ca_system_score_gemma":0.0000515661,"threshold_uncertainty_score":0.99971384},"labels":[],"label_agreement":null},{"id":"W4235526212","doi":"10.1109/glocom.2014.7417494","title":"Cloud Assisted Resource Management for Hyper-Dense Small Cell Networks","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cloud computing; Resource allocation; Computer network; Overhead (engineering); Cellular network; Resource management (computing); Distributed computing; Wireless network; Base station; Small cell; Wireless; Radio resource management; Telecommunications","score_opus":0.03707075118912775,"score_gpt":0.26433873416422193,"score_spread":0.22726798297509418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235526212","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":[0.0009991487,0.0008463398,0.9065104,0.00027235545,0.0006078723,0.00092617306,0.00007367886,0.00064672524,0.089117326],"genre_scores_gemma":[0.9027954,0.00053769205,0.09468447,0.00014845723,0.00014294211,0.00035612078,0.00026205013,0.000062236264,0.0010106458],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982662,0.00019868839,0.00056684355,0.00033340123,0.00014329933,0.0004915376],"domain_scores_gemma":[0.996651,0.00019436028,0.00016822449,0.0025371434,0.00027170355,0.0001775864],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041013584,0.00033503384,0.00035826775,0.00007264773,0.00030561953,0.00013516344,0.00152697,0.0001992527,0.000017683155],"category_scores_gemma":[0.000036826485,0.0003838683,0.00011334991,0.00038228,0.00010882188,0.00015564922,0.00024993665,0.00023904453,0.00009705166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007260823,0.00027600012,0.00048040977,0.00033854006,0.00018734857,0.0000014530814,0.00016711297,0.7955416,0.00023016694,0.0564706,0.07745543,0.06877876],"study_design_scores_gemma":[0.0010253226,0.000056261822,0.00021560039,0.000118355405,0.00009686207,0.000009854265,0.00025680408,0.7839652,0.00007149272,0.00082272256,0.21284351,0.0005180465],"about_ca_topic_score_codex":0.00003670293,"about_ca_topic_score_gemma":0.0003890909,"teacher_disagreement_score":0.9017962,"about_ca_system_score_codex":0.00031551986,"about_ca_system_score_gemma":0.00002753663,"threshold_uncertainty_score":0.9998613},"labels":[],"label_agreement":null},{"id":"W4235557063","doi":"10.32920/ryerson.14648127","title":"Resource Management in Cloud Radio Access Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Radio access network; C-RAN; Resource allocation; Cloud computing; Distributed computing; Radio resource management; Computer network; Optimization problem; Resource management (computing); Max-min fairness; Base station; Wireless network; Wireless; Algorithm","score_opus":0.013471497195601192,"score_gpt":0.24619670312368086,"score_spread":0.23272520592807966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235557063","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":[0.0006759649,0.0016361026,0.91682404,0.000020322868,0.0013739017,0.0005311286,0.000001327484,0.0004837318,0.07845345],"genre_scores_gemma":[0.9416422,0.0026907362,0.049370144,0.00010493256,0.00087416143,0.0004358607,0.00045705904,0.00025034597,0.0041745324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988412,0.000038529586,0.0003837385,0.00036545185,0.00010794372,0.00026309688],"domain_scores_gemma":[0.999266,0.00002187131,0.000048819267,0.0005941533,0.0000203338,0.000048803402],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013296404,0.00024968167,0.00031374718,0.00015873977,0.000015740692,0.00015718651,0.00039065626,0.00025892773,0.000083863415],"category_scores_gemma":[0.0000049409555,0.00029002887,0.000060919658,0.000252743,0.000008259352,0.000113539376,0.0007002236,0.0004886067,0.0000052967102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002060577,0.0000074385143,0.000088135756,0.00032397418,0.00005727149,0.00004963531,0.000073228286,0.9936393,0.000001002476,0.00021490842,0.0022943825,0.0032486708],"study_design_scores_gemma":[0.00024458888,0.0000015183265,0.0001924173,0.00041722567,0.000018102373,0.0000031142326,0.00019206005,0.9943742,0.00003962013,0.000077790755,0.0040658154,0.00037350648],"about_ca_topic_score_codex":0.000029030005,"about_ca_topic_score_gemma":0.00008503356,"teacher_disagreement_score":0.94096625,"about_ca_system_score_codex":0.0002876666,"about_ca_system_score_gemma":0.000007230997,"threshold_uncertainty_score":0.9999552},"labels":[],"label_agreement":null},{"id":"W4236183362","doi":"10.32920/ryerson.14661888","title":"Optimizing Macro and Micro Base Stations Locations and User Associations in Heterogeneous Wireless Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Heterogeneous network; Computer science; Base station; Channel state information; User equipment; Interference (communication); Macro; Poisson point process; Computer network; Cellular network; Channel (broadcasting); Wireless network; Wireless; Distributed computing; Telecommunications; Point process; Mathematics","score_opus":0.010245643477501551,"score_gpt":0.22864145063042954,"score_spread":0.218395807152928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236183362","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":[0.07286909,0.0028564106,0.9228245,0.0000691113,0.0003140535,0.00051509304,0.000091337846,0.0002396319,0.00022073934],"genre_scores_gemma":[0.8781831,0.0020308555,0.11854524,0.000049764814,0.00006005176,0.00019142649,0.0006900955,0.00008720725,0.00016223168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987497,0.00006136973,0.00045912626,0.00038988778,0.00007925656,0.00026068513],"domain_scores_gemma":[0.99925464,0.00014442872,0.000093799936,0.00029769415,0.000117522126,0.000091937196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000118410724,0.00026979344,0.00034421208,0.00019045708,0.00010116712,0.0002145771,0.000081689745,0.000301775,0.000019247034],"category_scores_gemma":[0.000032007047,0.00034003734,0.00003856112,0.00020321475,0.00003010279,0.00018452144,0.00019156229,0.0004211475,9.3682604e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.218546e-7,0.00001524767,0.0012663752,0.00010509282,0.000054553075,0.000007604074,0.00060139166,0.99712175,0.00023939634,0.00006842294,0.00007097528,0.0004484516],"study_design_scores_gemma":[0.0002718147,0.0000034460436,0.00081631995,0.00019527876,0.0000396516,0.000012675945,0.00038357126,0.99747163,0.0003664477,0.000040954532,0.00003642161,0.00036180048],"about_ca_topic_score_codex":0.00018440679,"about_ca_topic_score_gemma":0.0019699936,"teacher_disagreement_score":0.80531406,"about_ca_system_score_codex":0.00024052043,"about_ca_system_score_gemma":0.00004732062,"threshold_uncertainty_score":0.99990517},"labels":[],"label_agreement":null},{"id":"W4236741062","doi":"10.32920/ryerson.14643795.v1","title":"Feasibility of CoMP usage in base station switching off during off-peak periods","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Base station; Energy consumption; Transmission (telecommunications); Power consumption; Efficient energy use; Computer network; Computer science; Base (topology); Power (physics); Environmental science; Telecommunications; Electrical engineering; Engineering; Mathematics; Physics","score_opus":0.020078473751966183,"score_gpt":0.26543905439747223,"score_spread":0.24536058064550603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236741062","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":[0.6623851,0.0005453651,0.33499643,0.0000054339985,0.00033898035,0.00048050575,0.00002289006,0.00019347461,0.0010318138],"genre_scores_gemma":[0.965061,0.00016859257,0.03436553,0.0000036239103,0.000041723855,0.000041927655,0.0001962462,0.00006286,0.00005848312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981647,0.00011229775,0.0008289517,0.0004565463,0.00019938647,0.00023813284],"domain_scores_gemma":[0.99896544,0.00006218053,0.00017048325,0.0006286658,0.00011217465,0.00006105409],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003604946,0.00029777846,0.0005513825,0.0002280407,0.000031664997,0.000054061013,0.00017314988,0.0002288377,0.00011394032],"category_scores_gemma":[0.000110476554,0.0003511792,0.000101987986,0.00022394302,0.000015936148,0.00027240266,0.00024018544,0.0005193148,0.0000023071982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000102717595,0.000040073584,0.009546411,0.0018133891,0.000022523509,0.000010790003,0.0013351971,0.9654509,0.020425612,0.000020781514,0.0000026819848,0.0013213702],"study_design_scores_gemma":[0.0008621866,0.000010421893,0.053811893,0.0011472699,0.00002107711,0.0000059231397,0.0015033211,0.9340216,0.007983568,0.00007685579,0.000009210989,0.00054669514],"about_ca_topic_score_codex":0.00028214016,"about_ca_topic_score_gemma":0.0015107302,"teacher_disagreement_score":0.3026759,"about_ca_system_score_codex":0.00054240593,"about_ca_system_score_gemma":0.00005795495,"threshold_uncertainty_score":0.999894},"labels":[],"label_agreement":null},{"id":"W4237137385","doi":"10.32920/ryerson.14643795","title":"Feasibility of CoMP usage in base station switching off during off-peak periods","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Base station; Energy consumption; Transmission (telecommunications); Power consumption; Efficient energy use; Computer network; Computer science; Base (topology); Power (physics); Environmental science; Telecommunications; Electrical engineering; Engineering; Mathematics; Physics","score_opus":0.020078473751966183,"score_gpt":0.26543905439747223,"score_spread":0.24536058064550603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237137385","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":[0.6623851,0.0005453651,0.33499643,0.0000054339985,0.00033898035,0.00048050575,0.00002289006,0.00019347461,0.0010318138],"genre_scores_gemma":[0.965061,0.00016859257,0.03436553,0.0000036239103,0.000041723855,0.000041927655,0.0001962462,0.00006286,0.00005848312],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981647,0.00011229775,0.0008289517,0.0004565463,0.00019938647,0.00023813284],"domain_scores_gemma":[0.99896544,0.00006218053,0.00017048325,0.0006286658,0.00011217465,0.00006105409],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003604946,0.00029777846,0.0005513825,0.0002280407,0.000031664997,0.000054061013,0.00017314988,0.0002288377,0.00011394032],"category_scores_gemma":[0.000110476554,0.0003511792,0.000101987986,0.00022394302,0.000015936148,0.00027240266,0.00024018544,0.0005193148,0.0000023071982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000102717595,0.000040073584,0.009546411,0.0018133891,0.000022523509,0.000010790003,0.0013351971,0.9654509,0.020425612,0.000020781514,0.0000026819848,0.0013213702],"study_design_scores_gemma":[0.0008621866,0.000010421893,0.053811893,0.0011472699,0.00002107711,0.0000059231397,0.0015033211,0.9340216,0.007983568,0.00007685579,0.000009210989,0.00054669514],"about_ca_topic_score_codex":0.00028214016,"about_ca_topic_score_gemma":0.0015107302,"teacher_disagreement_score":0.3026759,"about_ca_system_score_codex":0.00054240593,"about_ca_system_score_gemma":0.00005795495,"threshold_uncertainty_score":0.999894},"labels":[],"label_agreement":null},{"id":"W4237664023","doi":"10.22215/etd/2007-06382","title":"Prediction of single and multi-user downlink channel capacities based on multiple antenna propagation measurements","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage","funders":"","keywords":"Channel (broadcasting); Telecommunications link; Telecommunications; Computer science; Antenna (radio); Electrical engineering; Engineering","score_opus":0.04302301068263678,"score_gpt":0.2410586362420586,"score_spread":0.1980356255594218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237664023","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":[0.03588408,0.0003267234,0.95599407,0.0000033855624,0.0016195214,0.0016120769,0.0001596715,0.0006150585,0.0037854195],"genre_scores_gemma":[0.9856353,0.00003157841,0.009993641,0.0000090402245,0.00008896612,0.000084119965,0.0020724451,0.000108746775,0.0019762053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865544,0.000025953557,0.0005231501,0.0002728496,0.0003177553,0.00020484712],"domain_scores_gemma":[0.99915594,0.000056873443,0.00019311906,0.00020499046,0.0003330472,0.00005604083],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019219493,0.00031582237,0.0003119668,0.00042008221,0.000058041463,0.000018992252,0.00006399261,0.00034332677,0.000011483405],"category_scores_gemma":[0.00014492717,0.0003185112,0.000051504965,0.0001715123,0.00002841402,0.00021218545,0.0000035756086,0.00016663581,0.0000034344862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002465695,0.00026137813,0.0011915594,0.0032386908,0.00013191874,0.0000016983873,0.0023010245,0.6700688,0.32023662,0.000020579193,0.00013819913,0.0021629585],"study_design_scores_gemma":[0.0012334366,0.00013456668,0.0016134814,0.00090897764,0.000049845294,8.8319695e-7,0.0012287233,0.8539383,0.1405523,0.000004597151,0.000032904703,0.00030199834],"about_ca_topic_score_codex":0.000041638326,"about_ca_topic_score_gemma":0.00037086743,"teacher_disagreement_score":0.9497512,"about_ca_system_score_codex":0.00017917038,"about_ca_system_score_gemma":0.000019466293,"threshold_uncertainty_score":0.9999267},"labels":[],"label_agreement":null},{"id":"W4237921547","doi":"10.1109/glocom.2014.7417264","title":"Femto-Cloud Formation: A Coalitional Game-Theoretic Approach","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Femtocell; Femto-; Cloud computing; Computer science; Incentive; Computer network; Game theory; Quality of experience; Microeconomics; Quality of service; Base station; Economics","score_opus":0.033013490431867264,"score_gpt":0.2722268090658109,"score_spread":0.23921331863394366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237921547","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":[0.00079484686,0.00041509213,0.8541808,0.00039045204,0.00042482454,0.00043364294,0.00014060349,0.0006543969,0.14256532],"genre_scores_gemma":[0.948788,0.00035263103,0.04968488,0.00011438409,0.00013377734,0.00021104439,0.00055686786,0.00003388361,0.00012453568],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814457,0.0002747821,0.0006219358,0.00026826354,0.0002779728,0.0004124678],"domain_scores_gemma":[0.99705493,0.00012427465,0.00016206855,0.0020535835,0.000415605,0.00018955261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003992318,0.00032343753,0.00034683058,0.000084078725,0.00025315498,0.00015844483,0.001359967,0.00018454668,0.000102670936],"category_scores_gemma":[0.000093993556,0.00035730193,0.00009551173,0.000470835,0.00027477546,0.0006344783,0.00017410754,0.0002954586,0.00042167606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001691562,0.00019103785,0.00030492476,0.00022244676,0.00008000641,5.09843e-7,0.00056034396,0.17321613,0.00017725707,0.79670113,0.021999916,0.0065293997],"study_design_scores_gemma":[0.00062924,0.000029762372,0.0001646746,0.000088637484,0.00003763009,0.00006118071,0.00031122763,0.9535104,0.000080552556,0.01652229,0.028079154,0.0004852564],"about_ca_topic_score_codex":0.00003836299,"about_ca_topic_score_gemma":0.000093832874,"teacher_disagreement_score":0.94799316,"about_ca_system_score_codex":0.00038921688,"about_ca_system_score_gemma":0.00007484889,"threshold_uncertainty_score":0.9998879},"labels":[],"label_agreement":null},{"id":"W4237925987","doi":"10.22215/etd/2017-12210","title":"Adaptive Coverage for Future LTE Networks","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Base station; Cellular network; Pace; Throughput; Quality of service; Metric (unit); Wireless network; Distributed computing; User equipment; Macro; Function (biology); Energy consumption; Optimization problem; Wireless; Computer network; Telecommunications; Engineering; Algorithm","score_opus":0.007297302359550011,"score_gpt":0.23737543730689512,"score_spread":0.2300781349473451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237925987","genre_codex":"methods","genre_gemma":"other","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":[0.00004642033,0.0013626294,0.8841145,0.0000029614828,0.005212201,0.0007607006,0.000041169485,0.0003488981,0.10811054],"genre_scores_gemma":[0.43558064,0.0036574642,0.044853352,0.00006017836,0.012436563,0.0017406894,0.019493397,0.0010620638,0.48111564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993237,0.000005169447,0.000200468,0.00019989122,0.00006666396,0.00020407408],"domain_scores_gemma":[0.9993876,0.000027948096,0.00012009403,0.0003126499,0.00010807768,0.000043626584],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004240819,0.00025915165,0.00028417748,0.00005613532,0.00011304734,0.000055720346,0.00016282508,0.00043913556,0.000048175723],"category_scores_gemma":[0.000013148058,0.00026390905,0.00009613392,0.000032141448,0.0000041922463,0.00018941086,0.0000033461697,0.00018875276,0.000012864228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042234053,0.0000035089724,0.0000016221016,0.00020609992,0.00008288411,0.0000013870792,0.00017583257,0.96599406,0.00002382819,0.0011654254,0.008675004,0.023628103],"study_design_scores_gemma":[0.0006686581,0.00005281818,0.000091459304,0.0003024361,0.00009187414,0.0000019285812,0.0007207561,0.9537236,0.00046512904,0.00045969215,0.04260166,0.0008199999],"about_ca_topic_score_codex":0.000005470891,"about_ca_topic_score_gemma":0.00026788661,"teacher_disagreement_score":0.8392611,"about_ca_system_score_codex":0.0000786342,"about_ca_system_score_gemma":0.00001739336,"threshold_uncertainty_score":0.9999813},"labels":[],"label_agreement":null},{"id":"W4238303692","doi":"10.32920/ryerson.14647992.v1","title":"EMI-aware central processing point deployment in wireless networks for e-healthcare services.","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Wireless; EMI; Software deployment; Throughput; Integer programming; Linear programming; Transmitter power output; Convex optimization; Computer network; Electromagnetic interference; Interference (communication); MATLAB; Controller (irrigation); Mathematical optimization; Transmitter; Algorithm; Telecommunications; Regular polygon; Mathematics","score_opus":0.011130171275425442,"score_gpt":0.24644601186235765,"score_spread":0.2353158405869322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238303692","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":[0.007803737,0.0029748813,0.98535883,0.000116399824,0.0012474161,0.001645961,0.00002641062,0.0007023172,0.0001240577],"genre_scores_gemma":[0.97788185,0.00042268098,0.019461984,0.00010528495,0.00032358157,0.0006702541,0.0008965795,0.000187198,0.00005059672],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785554,0.00003468748,0.0007028001,0.00058092934,0.00015110923,0.0006749102],"domain_scores_gemma":[0.99908406,0.000028207587,0.00014195048,0.00040959773,0.00019199523,0.00014420155],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001310279,0.00042858228,0.00057022925,0.00012202622,0.00005396707,0.00014384017,0.00025134522,0.00054003653,0.000013555004],"category_scores_gemma":[0.0000043298433,0.000482245,0.00010819549,0.00020554927,0.000009033453,0.00020619547,0.00021202852,0.0006041729,7.7390445e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076055235,0.000018499763,0.00094302924,0.0076261926,0.000023920244,0.000008540422,0.0007216387,0.98262846,0.000021605225,0.000030043491,0.00003781907,0.007932615],"study_design_scores_gemma":[0.00038468852,0.0000075012745,0.00020318909,0.0028038924,0.000016993197,0.0000043895016,0.0011231848,0.99457264,0.0003247003,0.0000582518,0.00004011003,0.00046048284],"about_ca_topic_score_codex":0.00028867635,"about_ca_topic_score_gemma":0.003502191,"teacher_disagreement_score":0.9700781,"about_ca_system_score_codex":0.0008437215,"about_ca_system_score_gemma":0.0001283973,"threshold_uncertainty_score":0.9997629},"labels":[],"label_agreement":null},{"id":"W4238684848","doi":"10.32920/14638455.v1","title":"Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Subcarrier; Transmitter; Computer science; Interference (communication); Fractional programming; Orthogonal frequency-division multiplexing; Mathematical optimization; Channel (broadcasting); Channel state information; Telecommunications; Electronic engineering; Mathematics; Nonlinear programming; Wireless; Engineering; Physics","score_opus":0.02696105581020501,"score_gpt":0.24948760465623757,"score_spread":0.22252654884603257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238684848","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":[0.0025994913,0.00039761746,0.9942938,0.000008934446,0.0007136981,0.001154219,0.000049467093,0.00040794406,0.00037480053],"genre_scores_gemma":[0.9173642,0.000011124275,0.08109214,0.00003520351,0.00008686209,0.00046322017,0.00068838365,0.00011654957,0.00014233016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834406,0.000045913384,0.0005409947,0.0005905294,0.00014198555,0.0003365232],"domain_scores_gemma":[0.998612,0.00014411668,0.00015914292,0.00039806994,0.0005989548,0.00008770171],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015179426,0.0004169683,0.00042843784,0.00014429857,0.000060295395,0.00009460014,0.00019132168,0.00037414266,0.000021697897],"category_scores_gemma":[0.00007365069,0.00046174563,0.00014269348,0.00016128812,0.000037475522,0.00008184544,0.0001335197,0.00028309444,6.3643853e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022247319,0.0000391911,0.000002891777,0.00037964652,0.000067080015,0.0000010985864,0.00028347244,0.998084,0.00020690219,0.00025207183,0.000016398459,0.0006449859],"study_design_scores_gemma":[0.0003699977,0.000016986109,0.0000016661729,0.0009839421,0.00009621393,0.000002154044,0.00009064756,0.9972827,0.0005224041,0.00015341034,0.000002058566,0.00047785902],"about_ca_topic_score_codex":0.00008029211,"about_ca_topic_score_gemma":0.00012586842,"teacher_disagreement_score":0.9147647,"about_ca_system_score_codex":0.0005468747,"about_ca_system_score_gemma":0.00019627968,"threshold_uncertainty_score":0.99978346},"labels":[],"label_agreement":null},{"id":"W4238782701","doi":"10.22215/etd/2015-10803","title":"Joint Cloud and Wireless Networks Operations in Mobile Cloud Computing Environments","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stackelberg competition; Cloud computing; Computer science; Wireless network; Wireless; Resource allocation; Virtualization; Distributed computing; Computer network; Game theory; Cellular network; Telecommunications; Operating system; Mathematics","score_opus":0.008537863796023457,"score_gpt":0.23182169470249575,"score_spread":0.2232838309064723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238782701","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":[0.48630568,0.003424282,0.49889255,0.0000026448088,0.0034654709,0.0014313114,0.000011988659,0.0003235073,0.006142574],"genre_scores_gemma":[0.9923493,0.00060528447,0.0031053112,0.0000085158445,0.0003651083,0.00008994723,0.0013002197,0.00011071947,0.0020655433],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891067,0.00003081508,0.000457666,0.0002601049,0.000115595576,0.00022516707],"domain_scores_gemma":[0.9996442,0.000018727402,0.0000516214,0.00018423163,0.00002283545,0.000078341385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014176755,0.0002636396,0.00033953332,0.0001138046,0.000053434127,0.00004639001,0.000075070064,0.00028847146,0.000019250981],"category_scores_gemma":[0.000008192614,0.00029225057,0.00002580102,0.00012321917,0.00001145326,0.00013124643,0.000021526734,0.00029422395,0.00001373576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028184643,0.000011559509,0.00003640473,0.00006696375,0.00001532601,0.000002097347,0.0007569297,0.9947776,0.00044353437,0.00006857217,0.00028983704,0.003528315],"study_design_scores_gemma":[0.00033569778,0.000016960885,0.00019358973,0.00019363916,0.000013603716,0.0000029314347,0.0013132151,0.9969707,0.00022639806,0.000021755686,0.00038446384,0.00032702266],"about_ca_topic_score_codex":0.000043806962,"about_ca_topic_score_gemma":0.000609662,"teacher_disagreement_score":0.5060437,"about_ca_system_score_codex":0.00020790042,"about_ca_system_score_gemma":0.00001563377,"threshold_uncertainty_score":0.999953},"labels":[],"label_agreement":null},{"id":"W4238872324","doi":"10.32920/ryerson.14643738","title":"Optimization of Radio and Infrastructure Resources for Efficient Massive Data Transmission and Storage in Mobile Cloud over 5G HetNet","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Cloud computing; Heterogeneous network; Data transmission; User equipment; Radio access network; Big data; Computer network; Transmission (telecommunications); Distributed computing; Base station; Operating system; Wireless; Wireless network; Telecommunications; Mobile station","score_opus":0.007869703690954617,"score_gpt":0.23364392368488596,"score_spread":0.22577421999393135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238872324","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":[0.10710659,0.0050417967,0.88622165,0.0000066242055,0.00020029009,0.001068122,0.00021627708,0.000065682005,0.00007300232],"genre_scores_gemma":[0.73317844,0.0019252974,0.26325604,0.000005808293,0.00009698218,0.00010466219,0.0012946767,0.00008909837,0.000049007223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883646,0.00003876809,0.00040599995,0.00046216237,0.0001112767,0.00014536137],"domain_scores_gemma":[0.9992409,0.00007539576,0.00011629714,0.000455023,0.000054932992,0.000057499154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014879448,0.00023777476,0.00041064035,0.0001478641,0.000025544112,0.000048290723,0.00015904961,0.00029882856,0.000030690957],"category_scores_gemma":[0.000026207652,0.00023365323,0.000025309304,0.000114600785,0.0000336106,0.00011350393,0.00019004178,0.0002149753,2.3834609e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020940557,0.000010492701,0.000080084974,0.0012168323,0.000025363674,0.0000015599975,0.0013824722,0.9946506,0.00059292733,0.000008023409,0.00011589754,0.0018947965],"study_design_scores_gemma":[0.0006297458,0.000019846371,0.00017109029,0.00042492672,0.00002935455,0.0000032589603,0.00043624567,0.9970609,0.00044756275,0.000015866595,0.00054465403,0.00021653193],"about_ca_topic_score_codex":0.0000183796,"about_ca_topic_score_gemma":0.000009910357,"teacher_disagreement_score":0.6260719,"about_ca_system_score_codex":0.00007316141,"about_ca_system_score_gemma":0.000026090534,"threshold_uncertainty_score":0.9528103},"labels":[],"label_agreement":null},{"id":"W4239722879","doi":"10.32920/ryerson.14648127.v1","title":"Resource Management in Cloud Radio Access Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Radio access network; C-RAN; Resource allocation; Cloud computing; Radio resource management; Distributed computing; Computer network; Max-min fairness; Resource management (computing); Optimization problem; Base station; Wireless network; Wireless; Algorithm; Telecommunications","score_opus":0.013471497195601192,"score_gpt":0.24619670312368086,"score_spread":0.23272520592807966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239722879","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":[0.0006759649,0.0016361026,0.91682404,0.000020322868,0.0013739017,0.0005311286,0.000001327484,0.0004837318,0.07845345],"genre_scores_gemma":[0.9416422,0.0026907362,0.049370144,0.00010493256,0.00087416143,0.0004358607,0.00045705904,0.00025034597,0.0041745324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988412,0.000038529586,0.0003837385,0.00036545185,0.00010794372,0.00026309688],"domain_scores_gemma":[0.999266,0.00002187131,0.000048819267,0.0005941533,0.0000203338,0.000048803402],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013296404,0.00024968167,0.00031374718,0.00015873977,0.000015740692,0.00015718651,0.00039065626,0.00025892773,0.000083863415],"category_scores_gemma":[0.0000049409555,0.00029002887,0.000060919658,0.000252743,0.000008259352,0.000113539376,0.0007002236,0.0004886067,0.0000052967102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002060577,0.0000074385143,0.000088135756,0.00032397418,0.00005727149,0.00004963531,0.000073228286,0.9936393,0.000001002476,0.00021490842,0.0022943825,0.0032486708],"study_design_scores_gemma":[0.00024458888,0.0000015183265,0.0001924173,0.00041722567,0.000018102373,0.0000031142326,0.00019206005,0.9943742,0.00003962013,0.000077790755,0.0040658154,0.00037350648],"about_ca_topic_score_codex":0.000029030005,"about_ca_topic_score_gemma":0.00008503356,"teacher_disagreement_score":0.94096625,"about_ca_system_score_codex":0.0002876666,"about_ca_system_score_gemma":0.000007230997,"threshold_uncertainty_score":0.9999552},"labels":[],"label_agreement":null},{"id":"W4241438566","doi":"10.22215/etd/2010-09731","title":"Multi-antenna mobile radio channels : modelling and system performance predictions","year":2010,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"","keywords":"Computer science; Telecommunications","score_opus":0.009361446912639276,"score_gpt":0.21222903865944692,"score_spread":0.20286759174680766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241438566","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":[0.06966548,0.0013117329,0.9200292,4.2676191e-7,0.004582495,0.00090136926,0.000028359575,0.0013065314,0.002174379],"genre_scores_gemma":[0.9667798,0.0008080916,0.023594558,8.9745856e-7,0.0002676198,0.0005415647,0.00056369393,0.00015477759,0.007288956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894476,0.0000089547475,0.0003896869,0.0002941275,0.00011605174,0.00024643147],"domain_scores_gemma":[0.9994196,0.000017735016,0.00008693894,0.00026462128,0.000119734555,0.0000913231],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007953167,0.00032003524,0.00033350472,0.00020333298,0.00014094965,0.000052569558,0.00010503429,0.00044322942,0.000012983613],"category_scores_gemma":[0.000003932913,0.00032850262,0.000048506095,0.00013369386,0.000011545255,0.00030344562,0.000008157345,0.0004360498,0.000022187885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044888793,0.000006555303,0.00001159099,0.0013678054,0.000034127148,8.8239904e-7,0.0007554193,0.9957736,0.0016336647,0.000018673501,0.000023563003,0.0003696188],"study_design_scores_gemma":[0.00021798431,0.000017297572,0.000014420224,0.00045971232,0.00004366894,0.000014946773,0.0011997654,0.99652725,0.0010132776,6.583595e-7,0.00018522626,0.0003057726],"about_ca_topic_score_codex":0.000023100189,"about_ca_topic_score_gemma":0.000052230735,"teacher_disagreement_score":0.89711434,"about_ca_system_score_codex":0.00009722668,"about_ca_system_score_gemma":0.000017578797,"threshold_uncertainty_score":0.9999167},"labels":[],"label_agreement":null},{"id":"W4242597145","doi":"10.22215/etd/2012-06879","title":"Cell switch-off strategies for green mobile networks","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Computer science","score_opus":0.006947930653584945,"score_gpt":0.23186740732642652,"score_spread":0.22491947667284157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242597145","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":[0.0014035943,0.008660674,0.89527446,7.5958536e-7,0.0025811463,0.0014189073,0.000022012346,0.00078098377,0.08985744],"genre_scores_gemma":[0.87838376,0.00069571595,0.012148319,0.0000106333355,0.0017362951,0.0023032464,0.0067642904,0.0005199869,0.097437784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908763,0.0000073712563,0.00031148735,0.00018507939,0.00007881752,0.000329639],"domain_scores_gemma":[0.9994837,0.000042404645,0.00008744341,0.00022697978,0.00009384225,0.00006561601],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006421445,0.0003021635,0.00028690966,0.00008425836,0.00004814314,0.0000415319,0.00013067492,0.00040708575,0.00011397357],"category_scores_gemma":[0.0000016562403,0.0003094446,0.000090296715,0.00009792796,0.000004390616,0.0003335641,0.0000050902663,0.00016740317,0.000032965443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009792096,0.000009847198,0.000005094942,0.00067055284,0.000028087614,2.3521893e-7,0.00029313166,0.9911137,0.000522043,0.00028333417,0.003125205,0.0039389483],"study_design_scores_gemma":[0.0008698801,0.000112230846,0.000081193924,0.00024891124,0.00022767052,0.0000025514516,0.009036525,0.93634635,0.0029924065,0.0005961407,0.047759447,0.0017266986],"about_ca_topic_score_codex":0.000036770238,"about_ca_topic_score_gemma":0.0004609237,"teacher_disagreement_score":0.88312614,"about_ca_system_score_codex":0.00006687892,"about_ca_system_score_gemma":0.000026552236,"threshold_uncertainty_score":0.99993575},"labels":[],"label_agreement":null},{"id":"W4242874422","doi":"10.22360/springsim.2017.cns.001","title":"Modeling and Simulation of User Mobility and Handover in LTE and Beyond Mobile Networks using DEVS Formalism","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; DEVS; Computer science; Mobility model; Computer network; Formalism (music); Cellular network; Mobile telephony; Mobility management; Soft handover; Distributed computing; Mobile radio; Modeling and simulation; Simulation","score_opus":0.014296996485173352,"score_gpt":0.2595262832687773,"score_spread":0.24522928678360395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242874422","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":[0.5255259,0.00024116934,0.47397044,4.652969e-7,0.00002409254,0.00013837845,9.660279e-7,0.000013357521,0.00008520905],"genre_scores_gemma":[0.99276906,0.00008460272,0.007098635,0.0000029166576,0.000015469568,0.000005676857,0.0000017707458,0.000013145511,0.000008693477],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954987,0.000007336781,0.00019267788,0.00011163972,0.000037018464,0.0001014477],"domain_scores_gemma":[0.9997263,0.000028692531,0.00003859356,0.00014728094,0.000029739589,0.000029425628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013141721,0.00008240832,0.0001433362,0.000040209943,0.00006864943,0.000041487423,0.000026571355,0.00006955412,0.0000017416768],"category_scores_gemma":[0.000018909828,0.00008204502,0.0000073243227,0.000023344486,0.000027703056,0.0006955981,0.00004487257,0.00005061987,3.3358678e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006692882,0.0000027918506,0.007401324,0.000054384112,0.0000039349106,1.957801e-7,0.00016760983,0.9911712,0.00028540604,0.00003146293,1.9359913e-7,0.00087480654],"study_design_scores_gemma":[0.0004647234,0.0000073280767,0.00114065,0.000033955148,0.0000063051466,0.0000014635426,0.00005505581,0.99799436,0.00010782411,0.000101993224,0.0000025702855,0.00008376852],"about_ca_topic_score_codex":0.0001074439,"about_ca_topic_score_gemma":0.00012977397,"teacher_disagreement_score":0.46724316,"about_ca_system_score_codex":0.000019673322,"about_ca_system_score_gemma":0.0000024851313,"threshold_uncertainty_score":0.3345699},"labels":[],"label_agreement":null},{"id":"W4243292327","doi":"10.22215/etd/2015-10935","title":"LTE-A enhanced Inter-Cell Interference Coordination (eICIC) with Pico Cell Adaptive Antenna","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Heterogeneous network; Interference (communication); Computer science; Computer network; Macro; LTE Advanced; Telecommunications link; Enhanced Data Rates for GSM Evolution; Base station; Co-channel interference; Transmitter power output; Quality of service; Transmission (telecommunications); Wireless; Channel (broadcasting); Wireless network; Telecommunications; Transmitter","score_opus":0.009442721643363112,"score_gpt":0.22557995620411198,"score_spread":0.21613723456074888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243292327","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":[0.015080998,0.00032989855,0.81339514,0.0000033332042,0.0011134386,0.00076104666,0.000022282296,0.0006539575,0.16863988],"genre_scores_gemma":[0.94769675,0.000057234618,0.007632769,0.000008527557,0.000093567876,0.0001517927,0.0010860502,0.00018408806,0.04308924],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983381,0.000038839436,0.00052101084,0.00049719145,0.0002502869,0.00035459688],"domain_scores_gemma":[0.9984419,0.00004586157,0.0002678982,0.0003899614,0.00072328304,0.00013109605],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001017518,0.00057942414,0.00053159683,0.00032266043,0.000046415444,0.00006958963,0.0002965995,0.00036495595,0.000107873784],"category_scores_gemma":[0.000022097263,0.0005335239,0.00006534161,0.00036319662,0.000022722925,0.00047048135,0.000021787886,0.00045410296,0.00017357527],"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":[0.002187521,0.00070570473,0.00008547699,0.005891762,0.0005776999,0.00006400344,0.027813554,0.36471525,0.54893684,0.0007376414,0.01663751,0.031647004],"study_design_scores_gemma":[0.003506741,0.0014473402,0.00004744106,0.0026903842,0.00028080647,0.000011266444,0.023896167,0.42238846,0.54153544,0.00043739713,0.00060090836,0.0031576334],"about_ca_topic_score_codex":0.000055724922,"about_ca_topic_score_gemma":0.0008381761,"teacher_disagreement_score":0.93261576,"about_ca_system_score_codex":0.00039710113,"about_ca_system_score_gemma":0.00009378112,"threshold_uncertainty_score":0.99971163},"labels":[],"label_agreement":null},{"id":"W4243770755","doi":"10.1017/9781108989817.033","title":"New Features for 6G Network Architecture Design","year":2021,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Architecture; Computer science; Computer network; Computer architecture; World Wide Web; Geography","score_opus":0.015561177887211867,"score_gpt":0.18147746788159966,"score_spread":0.1659162899943878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243770755","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.09454604e-7,0.00095043826,0.54122186,0.000003045433,0.00037442925,0.0005231036,0.00007876119,0.0002692194,0.45657906],"genre_scores_gemma":[0.000018335677,0.00012147938,0.062697574,0.00002024382,0.0007238434,0.0000023801579,0.00016155023,0.00014576846,0.9361088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894726,0.000021898182,0.00016878729,0.0003986189,0.00012443325,0.00033900174],"domain_scores_gemma":[0.99903446,0.00012455227,0.0001008136,0.00045758748,0.000111473055,0.00017108422],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000051139858,0.00043140145,0.00045256288,0.00010288737,0.00012425226,0.000043704964,0.0003045435,0.0004990743,0.0000041137],"category_scores_gemma":[0.000009019478,0.0005482865,0.00021315753,0.000012146304,0.00003543277,0.000058520392,0.0000999482,0.00042598485,0.0000026753871],"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":[0.000056615423,9.90721e-7,5.774493e-8,0.00020498659,0.00022173711,0.00007410062,0.00003371674,0.45630604,0.000052635583,0.28675652,0.25234422,0.0039484063],"study_design_scores_gemma":[0.00056698004,0.000030146515,5.5917303e-7,0.000396894,0.00021608053,0.00002742346,0.000009191871,0.0024830683,0.00046646426,0.000057236204,0.9951384,0.00060754933],"about_ca_topic_score_codex":0.000013454288,"about_ca_topic_score_gemma":0.000004164811,"teacher_disagreement_score":0.7427942,"about_ca_system_score_codex":0.00021801477,"about_ca_system_score_gemma":0.000094734576,"threshold_uncertainty_score":0.99969685},"labels":[],"label_agreement":null},{"id":"W4243909654","doi":"10.1002/9781119333142.ch0","title":"Introduction","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Exfo Electro-Optical Engineering (Canada)","funders":"","keywords":"Computer science; Radio access network; Standardization; Computer network; Core network; MIMO; Wireless network; Cloud computing; Telecommunications; Access technology; Wireless; Access network; Beamforming; Base station; Mobile station; Operating system","score_opus":0.007125520842767776,"score_gpt":0.18816217108293182,"score_spread":0.18103665024016405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243909654","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.067094e-7,0.00011980025,0.26393142,0.00001567192,0.0011002773,0.000083696796,0.000002508845,0.00052077055,0.73422563],"genre_scores_gemma":[0.00006326773,0.00009730421,0.006874388,0.000007212188,0.0040071825,0.0000035795715,0.00005392021,0.00009129731,0.98880184],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960166,8.3118147e-7,0.00014013125,0.00013116348,0.000052448442,0.00007376062],"domain_scores_gemma":[0.9996846,0.0000036266101,0.000023981396,0.00021841435,0.000046592097,0.000022788425],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000022818325,0.00014046358,0.00012317319,0.0000688527,0.000013114142,0.000008842267,0.000044228855,0.00016688595,0.0076175733],"category_scores_gemma":[0.00000330036,0.00014555358,0.000028739914,0.0000091496095,0.000015900185,0.00006821203,0.000009060774,0.00009053203,0.0028425083],"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":[0.000002069902,0.0000011342457,1.1606955e-7,0.000113439906,0.00007225063,0.0000016941384,0.000050855993,0.06329308,0.00018239183,0.10409254,0.8270506,0.005139781],"study_design_scores_gemma":[0.000034725726,0.000009067945,6.2261904e-8,0.000021437421,0.000010305511,0.0000068398513,0.0000018784386,0.004541285,0.00023006629,0.0036403316,0.9913246,0.00017941027],"about_ca_topic_score_codex":2.8644683e-7,"about_ca_topic_score_gemma":0.0000038099872,"teacher_disagreement_score":0.25705704,"about_ca_system_score_codex":0.000081148944,"about_ca_system_score_gemma":0.000003327289,"threshold_uncertainty_score":0.99793386},"labels":[],"label_agreement":null},{"id":"W4244178633","doi":"10.32920/ryerson.14660871","title":"Resource allocation strategies in cognitive radio D2D communication networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Subcarrier; Cognitive radio; Computer science; Resource allocation; Orthogonal frequency-division multiplexing; Radio resource management; Spectral efficiency; Cellular network; Computer network; Base station; Wireless; Distributed computing; Mathematical optimization; Wireless network; Channel (broadcasting); Telecommunications; Mathematics","score_opus":0.016686901360820402,"score_gpt":0.25379119076641304,"score_spread":0.23710428940559264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244178633","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":[0.00557422,0.0046502547,0.9627547,0.000037881648,0.00020157557,0.0005749695,0.000004079873,0.00045719574,0.025745094],"genre_scores_gemma":[0.9846333,0.0013926298,0.01181338,0.000018545243,0.00007376437,0.00019977917,0.0016351511,0.00006447599,0.00016893378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988339,0.00013713611,0.00044777594,0.00028436285,0.00010201658,0.00019482405],"domain_scores_gemma":[0.9990467,0.00013727456,0.00010082576,0.00054710463,0.00013021335,0.00003790947],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021495954,0.00024687545,0.0003069266,0.00013842809,0.000035423323,0.00017262236,0.00022238269,0.0003869901,0.000041386385],"category_scores_gemma":[0.000030742103,0.00030206775,0.000048952963,0.0002290634,0.000031077576,0.00028459885,0.00019083437,0.00070993294,0.000003891341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042207944,0.000012717941,0.00006483037,0.00010979833,0.000033492644,0.0000023028767,0.0008588356,0.9960998,0.000030224353,0.00035720394,0.00014060354,0.0022859594],"study_design_scores_gemma":[0.0002615049,0.0000045231254,0.00031297226,0.0009435382,0.000020042138,0.0000034552013,0.005790421,0.99184746,0.00017383226,0.00021718515,0.000097962286,0.00032708448],"about_ca_topic_score_codex":0.00012714512,"about_ca_topic_score_gemma":0.0007470412,"teacher_disagreement_score":0.9790591,"about_ca_system_score_codex":0.00025621036,"about_ca_system_score_gemma":0.00005893643,"threshold_uncertainty_score":0.99994314},"labels":[],"label_agreement":null},{"id":"W4244273668","doi":"10.22215/etd/2008-10175","title":"Estimation and characterization of delay and angular dispersion on mobile radio channels in 2.25 GHz microcells","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Library and Archives Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Characterization (materials science); Telecommunications; Dispersion (optics); Computer science; Physics; Optics","score_opus":0.00370749016552421,"score_gpt":0.20250907676258534,"score_spread":0.19880158659706113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244273668","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":[0.97490764,0.00082435645,0.022689711,0.0000017755247,0.00030819935,0.0007405702,0.000021392749,0.000086439446,0.00041993157],"genre_scores_gemma":[0.9913157,0.0035235772,0.0017923358,0.0000043666705,0.000036563066,0.00006504424,0.002358926,0.000071196984,0.00083228055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991035,0.000018751403,0.00038433704,0.00025015514,0.000107601256,0.00013568408],"domain_scores_gemma":[0.999626,0.000024911971,0.00013036546,0.00013015304,0.000046764606,0.000041832758],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005605059,0.0002464531,0.00033618457,0.00034768129,0.00003310096,0.000016853775,0.000045435514,0.00027092316,0.000010706251],"category_scores_gemma":[0.000010401757,0.0002635826,0.000024666646,0.00018118769,0.000015433241,0.00024205622,0.000006472269,0.00012294971,0.00000300863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008239359,0.000068604946,0.00026153916,0.0020436125,0.000041506977,0.000008376168,0.0052188584,0.5435826,0.41976553,0.000068337744,0.000049724717,0.028808873],"study_design_scores_gemma":[0.0007521833,0.00012571001,0.0020659529,0.0010915613,0.000030600586,0.000017183424,0.00039105734,0.8501726,0.14470328,0.000018114744,0.00013221227,0.00049955887],"about_ca_topic_score_codex":0.00002034182,"about_ca_topic_score_gemma":0.000019975885,"teacher_disagreement_score":0.30658996,"about_ca_system_score_codex":0.00007145107,"about_ca_system_score_gemma":0.000010166498,"threshold_uncertainty_score":0.99998164},"labels":[],"label_agreement":null},{"id":"W4245932276","doi":"10.32920/ryerson.14660871.v1","title":"Resource allocation strategies in cognitive radio D2D communication networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Subcarrier; Cognitive radio; Computer science; Resource allocation; Orthogonal frequency-division multiplexing; Radio resource management; Spectral efficiency; Cellular network; Computer network; Wireless; Distributed computing; Mathematical optimization; Wireless network; Channel (broadcasting); Telecommunications; Mathematics","score_opus":0.016686901360820402,"score_gpt":0.25379119076641304,"score_spread":0.23710428940559264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245932276","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":[0.00557422,0.0046502547,0.9627547,0.000037881648,0.00020157557,0.0005749695,0.000004079873,0.00045719574,0.025745094],"genre_scores_gemma":[0.9846333,0.0013926298,0.01181338,0.000018545243,0.00007376437,0.00019977917,0.0016351511,0.00006447599,0.00016893378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988339,0.00013713611,0.00044777594,0.00028436285,0.00010201658,0.00019482405],"domain_scores_gemma":[0.9990467,0.00013727456,0.00010082576,0.00054710463,0.00013021335,0.00003790947],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021495954,0.00024687545,0.0003069266,0.00013842809,0.000035423323,0.00017262236,0.00022238269,0.0003869901,0.000041386385],"category_scores_gemma":[0.000030742103,0.00030206775,0.000048952963,0.0002290634,0.000031077576,0.00028459885,0.00019083437,0.00070993294,0.000003891341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042207944,0.000012717941,0.00006483037,0.00010979833,0.000033492644,0.0000023028767,0.0008588356,0.9960998,0.000030224353,0.00035720394,0.00014060354,0.0022859594],"study_design_scores_gemma":[0.0002615049,0.0000045231254,0.00031297226,0.0009435382,0.000020042138,0.0000034552013,0.005790421,0.99184746,0.00017383226,0.00021718515,0.000097962286,0.00032708448],"about_ca_topic_score_codex":0.00012714512,"about_ca_topic_score_gemma":0.0007470412,"teacher_disagreement_score":0.9790591,"about_ca_system_score_codex":0.00025621036,"about_ca_system_score_gemma":0.00005893643,"threshold_uncertainty_score":0.99994314},"labels":[],"label_agreement":null},{"id":"W4246844554","doi":"10.1007/978-3-030-02158-0_2","title":"Background","year":2018,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Precoding; Baseband; Computer science; MIMO; Electronic engineering; Radio frequency; Component (thermodynamics); Antenna (radio); Channel (broadcasting); Telecommunications; Bandwidth (computing); Engineering","score_opus":0.01354063370617104,"score_gpt":0.21004854412189145,"score_spread":0.1965079104157204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246844554","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000010584058,0.0017669009,0.46978414,0.000002220453,0.0016334623,0.00020112445,0.000009368267,0.00058702665,0.5260052],"genre_scores_gemma":[0.030053187,0.002702134,0.002900444,0.00007215634,0.007291794,0.000045737786,0.00042523013,0.0008544797,0.95565486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989334,0.000005467114,0.00034557524,0.00028772635,0.00012566893,0.00030219974],"domain_scores_gemma":[0.9992357,0.000035485773,0.000095976604,0.00046940902,0.00007341375,0.00009005304],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000060059294,0.00040180114,0.00040231337,0.0000800253,0.000053346328,0.000041798652,0.00019833559,0.0006614852,0.0009406502],"category_scores_gemma":[0.0000010443174,0.00045207303,0.000096710355,0.000033751785,0.00006873505,0.0001023128,0.00004500736,0.0004095113,0.00060906255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000073286087,0.0000027679052,0.0000013993022,0.00012415662,0.00014638113,0.000020886682,0.00005023714,0.9067276,0.0000065456334,0.020744257,0.059435688,0.012732755],"study_design_scores_gemma":[0.00024287829,0.000025929136,0.0000011191792,0.0006428958,0.000053850097,0.000019094463,0.000008221259,0.66379315,0.000009080579,0.0017920615,0.33258265,0.0008291022],"about_ca_topic_score_codex":0.0000011216661,"about_ca_topic_score_gemma":0.000021717522,"teacher_disagreement_score":0.4668837,"about_ca_system_score_codex":0.00016432669,"about_ca_system_score_gemma":0.000011130911,"threshold_uncertainty_score":0.99997264},"labels":[],"label_agreement":null},{"id":"W4247146374","doi":"10.1109/glocom.2014.7417612","title":"On Resource Allocation for Downlink Power Minimization in OFDMA Small Cells in a Cloud-RAN","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Macrocell; Telecommunications link; Transmitter power output; Computer science; Quality of service; C-RAN; Radio access network; Computer network; Orthogonal frequency-division multiple access; Resource allocation; Optimization problem; Cloud computing; Cellular network; Power control; Mathematical optimization; Power (physics); Orthogonal frequency-division multiplexing; Base station; Mathematics; Transmitter; Algorithm; Mobile station","score_opus":0.027926065380216955,"score_gpt":0.2692897233114155,"score_spread":0.24136365793119852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247146374","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":[0.03695383,0.0004568062,0.93569875,0.0016161223,0.0008119277,0.0022269073,0.0002437768,0.00047795157,0.021513961],"genre_scores_gemma":[0.9813554,0.0002559238,0.01738413,0.00014776964,0.00004084496,0.00041261566,0.00028018013,0.000040097304,0.0000830299],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981618,0.000259639,0.00070819736,0.00033829044,0.00014459703,0.0003874707],"domain_scores_gemma":[0.9976208,0.00036190532,0.0001690565,0.0015113562,0.00023728132,0.00009959941],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046660274,0.00029235237,0.00035616744,0.00020869361,0.000102744445,0.00007579774,0.00097625767,0.00024255246,0.000019983665],"category_scores_gemma":[0.00020952264,0.0003438056,0.00006221426,0.0006335545,0.00007763652,0.00022692271,0.0000842287,0.00026545004,0.000057208636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006778636,0.00025537977,0.00087959354,0.00008736448,0.000022531563,3.5495194e-7,0.00062873994,0.94848853,0.0012588191,0.035824582,0.004663635,0.007822683],"study_design_scores_gemma":[0.001822062,0.00009594835,0.0009648057,0.00038085855,0.000019266523,0.0000019851507,0.00029586468,0.97477216,0.0006060481,0.0035563826,0.016940983,0.0005436628],"about_ca_topic_score_codex":0.00019785117,"about_ca_topic_score_gemma":0.003706976,"teacher_disagreement_score":0.94440156,"about_ca_system_score_codex":0.00052641646,"about_ca_system_score_gemma":0.00006931327,"threshold_uncertainty_score":0.9999014},"labels":[],"label_agreement":null},{"id":"W4248020840","doi":"10.1007/978-3-319-06337-9_6","title":"Sum-Rate Maximization for Multicell MIMO-MAC with IC","year":2014,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in computer science","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":"McGill University","funders":"","keywords":"Maximization; MIMO; Computer science; Mathematics; Computer network; Mathematical optimization; Channel (broadcasting)","score_opus":0.010666649500470787,"score_gpt":0.20737348639458072,"score_spread":0.19670683689410995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248020840","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":[0.00007724696,0.000158083,0.9858134,0.000013613828,0.0012195611,0.0008298421,0.000009591224,0.00032258013,0.011556122],"genre_scores_gemma":[0.09166767,0.0002508337,0.88856715,0.0002015058,0.0011400285,0.0001564226,0.000070696835,0.00044727253,0.017498417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99805105,0.000009721053,0.00045410817,0.00073044276,0.00028419515,0.0004704636],"domain_scores_gemma":[0.9987288,0.00011438213,0.00017535544,0.00063152675,0.00023287006,0.00011703994],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053077185,0.00041535945,0.00041637692,0.00045604407,0.00011539469,0.0001493841,0.0005912224,0.00017846248,0.000013146118],"category_scores_gemma":[0.000020976491,0.00042330194,0.00005502918,0.00021507553,0.00023525344,0.00033781768,0.000120393444,0.00024856586,0.000029289162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008730514,0.0000042860797,0.000022238988,0.00023183537,0.000009565336,0.0000051932952,0.00008878185,0.97333616,0.00012955161,0.010812567,0.000034655146,0.015316443],"study_design_scores_gemma":[0.00049139326,0.00007138186,0.000028852772,0.00052357017,0.0000139227795,0.0000058598657,7.199813e-7,0.98499864,0.0007401568,0.00061469706,0.011942927,0.0005678665],"about_ca_topic_score_codex":0.000006474332,"about_ca_topic_score_gemma":0.000057857404,"teacher_disagreement_score":0.09724621,"about_ca_system_score_codex":0.00031981553,"about_ca_system_score_gemma":0.00008389686,"threshold_uncertainty_score":0.9998219},"labels":[],"label_agreement":null},{"id":"W4248842748","doi":"10.32920/14640453","title":"Energy-Efficient Cognitive Radio Sensor Networks: Parametric and Convex Transformations","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Mathematical optimization; Fractional programming; Optimization problem; Wireless sensor network; Nonlinear programming; Computer science; Convex optimization; Geometric programming; Convergence (economics); Iterative method; Transformation (genetics); Parametric programming; Parametric statistics; Efficient energy use; Energy (signal processing); Nonlinear system; Wireless; Regular polygon; Mathematics; Telecommunications; Engineering; Computer network","score_opus":0.009384411221984124,"score_gpt":0.2122315108340686,"score_spread":0.20284709961208447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248842748","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":[0.005927044,0.0052187904,0.98264766,0.000013270225,0.000708371,0.0004106997,0.000040308554,0.0004863329,0.0045475196],"genre_scores_gemma":[0.98501325,0.002322843,0.011756509,0.000029005132,0.000102381935,0.00013642722,0.00040792386,0.000061722494,0.00016996961],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988697,0.00004908214,0.0004069676,0.00030531888,0.00012191675,0.00024701213],"domain_scores_gemma":[0.99929005,0.00018155477,0.00006213891,0.00020639822,0.00015285808,0.000107009815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008665545,0.00029733081,0.0003983167,0.0002456731,0.000060365175,0.00011744755,0.00006970359,0.00030269957,0.000054350006],"category_scores_gemma":[0.00003159577,0.00031896555,0.00008120817,0.00038646747,0.000035889687,0.00008625746,0.000059262497,0.00033967898,0.0000034292145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020868347,0.000013630395,0.0000126313735,0.00015971581,0.00009879978,0.000005338179,0.00031081546,0.9958952,0.0000090050335,0.00014299653,0.00006338367,0.0032863866],"study_design_scores_gemma":[0.00029523481,0.000006796755,0.000036236892,0.00022249382,0.00007236378,0.00002221739,0.00067642203,0.9978319,0.00036874416,0.000014668193,0.00010789198,0.00034507166],"about_ca_topic_score_codex":0.000025602298,"about_ca_topic_score_gemma":0.000016054728,"teacher_disagreement_score":0.97908616,"about_ca_system_score_codex":0.000104940555,"about_ca_system_score_gemma":0.000029802786,"threshold_uncertainty_score":0.99992627},"labels":[],"label_agreement":null},{"id":"W4248878304","doi":"10.22215/etd/2019-13856","title":"A Radio-Propagation-Measurement-Based Study of the Capacity of Multi-User Distributed-MIMO Indoor Channels at 18 and 28 GHz","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Path loss; MIMO; Fading; Antenna (radio); Electronic engineering; Transmission (telecommunications); Wireless; Radio frequency; Radio spectrum; Radio propagation model; Radio propagation; Computer science; Channel capacity; Engineering; Telecommunications; Channel (broadcasting)","score_opus":0.023905378948436626,"score_gpt":0.2365281201611747,"score_spread":0.21262274121273805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248878304","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":[0.92195106,0.00025399408,0.07300766,0.000004288874,0.0011394481,0.0031108717,0.00015459704,0.000120106284,0.0002579917],"genre_scores_gemma":[0.99808675,0.0000078106295,0.0004933684,0.0000021803805,0.000023301625,0.000109105364,0.0002603432,0.00007033792,0.00094682473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99841356,0.00007928297,0.0006128331,0.00028203567,0.00043460628,0.00017770776],"domain_scores_gemma":[0.99859995,0.00004839567,0.00038869755,0.0004784018,0.00044090976,0.00004362957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022123355,0.00031880726,0.0005124505,0.00012734937,0.00006548796,0.000014104608,0.00019687355,0.00021963261,0.00003135265],"category_scores_gemma":[0.00012455494,0.00025456926,0.000081102036,0.00027521528,0.000022588674,0.000114083836,0.000017894661,0.00018320575,0.0000028124973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009571067,0.0003475925,0.013869188,0.0026616883,0.00034039508,5.5723694e-7,0.0028904304,0.9450109,0.03429503,0.000030461855,0.00024605516,0.0002119711],"study_design_scores_gemma":[0.012620509,0.000550112,0.054744385,0.002461257,0.0007867835,0.00000350087,0.013792146,0.42667356,0.4862451,0.000013905197,0.00022353131,0.0018852216],"about_ca_topic_score_codex":0.00014022642,"about_ca_topic_score_gemma":0.0008950932,"teacher_disagreement_score":0.51833737,"about_ca_system_score_codex":0.0002505054,"about_ca_system_score_gemma":0.000047166664,"threshold_uncertainty_score":0.99999064},"labels":[],"label_agreement":null},{"id":"W4249066759","doi":"10.1007/978-1-4614-8397-7_5","title":"Conclusions and Future Directions","year":2013,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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":"University of Waterloo","funders":"","keywords":"Engineering ethics; Management science; Computer science; Epistemology; Data science; Cognitive science; Psychology; Engineering; Philosophy","score_opus":0.003534594355406471,"score_gpt":0.16737609115446592,"score_spread":0.16384149679905943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249066759","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":[0.0012508404,0.06293701,0.86171925,0.00020049237,0.0034338092,0.0014673909,0.000021616604,0.0024974726,0.06647214],"genre_scores_gemma":[0.18013448,0.21906154,0.40955463,0.00094523735,0.03604999,0.0010210555,0.00029538834,0.003890077,0.14904761],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989869,0.00000399094,0.00030306555,0.00032095306,0.00009269907,0.000292371],"domain_scores_gemma":[0.9995894,0.0000594729,0.000030885123,0.0001645179,0.000028206401,0.00012756074],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000039305527,0.00035707,0.0003952743,0.00028523445,0.000048194568,0.000055010583,0.00008262249,0.00030032409,0.000026232434],"category_scores_gemma":[0.0000033594122,0.0003882893,0.00004454243,0.00009482366,0.00001971689,0.0001175004,0.00009669884,0.0005789811,0.000011031515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064865485,0.000025097486,0.00007304279,0.000655214,0.00028125473,0.00008095437,0.00043172136,0.25893524,0.0003135268,0.18470722,0.0013701918,0.55312],"study_design_scores_gemma":[0.00022104787,0.000032813212,0.0002924135,0.00019200577,0.000019986634,0.000065921115,8.331553e-7,0.66368985,0.000016541675,0.00046933294,0.33444527,0.00055401004],"about_ca_topic_score_codex":0.000006832674,"about_ca_topic_score_gemma":0.000003063329,"teacher_disagreement_score":0.552566,"about_ca_system_score_codex":0.00011129229,"about_ca_system_score_gemma":0.000008063421,"threshold_uncertainty_score":0.9998569},"labels":[],"label_agreement":null},{"id":"W4250895045","doi":"10.1109/cnsm.2016.7818418","title":"Self-optimizing energy management in heterogeneous cellular networks","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Base station; Energy consumption; Throughput; Distributed computing; Optimization problem; Cellular network; Mathematical optimization; Heterogeneous network; Power control; Computer network; Power (physics); Algorithm; Wireless network; Wireless; Engineering; Mathematics","score_opus":0.004270110377165402,"score_gpt":0.17333957314472123,"score_spread":0.16906946276755583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250895045","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":[0.0005585614,0.00041324206,0.9850016,0.000009705178,0.00022870096,0.00010059436,3.158669e-7,0.00056102936,0.013126225],"genre_scores_gemma":[0.9314578,0.0006608581,0.066889174,0.000024448134,0.000060352417,0.000043174627,0.0000023420039,0.000047591162,0.0008142534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993292,0.000013514574,0.00020131114,0.00015217141,0.000056897316,0.0002469234],"domain_scores_gemma":[0.9997186,0.00001685437,0.000016873777,0.00019622578,0.000009634769,0.000041830495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047421738,0.00012129415,0.0001090938,0.00009365531,0.000015213458,0.000011144094,0.00008698414,0.000057684316,0.00004405707],"category_scores_gemma":[9.5186306e-7,0.000096051255,0.000025656966,0.00012623146,0.000005007425,0.00011462457,0.000030638686,0.00002743152,0.0000189808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015213507,0.000007062014,0.000027671049,0.00001624442,0.00002402987,0.000027308573,0.000014513344,0.9885681,0.00053989067,0.0011169286,0.00007919822,0.009577498],"study_design_scores_gemma":[0.00046042935,0.000008610471,0.0000041784947,0.000047477868,0.0000066428647,0.0000051888055,0.000011303969,0.986678,0.0073964773,0.000079269776,0.0050825602,0.00021983788],"about_ca_topic_score_codex":0.000004279114,"about_ca_topic_score_gemma":0.00001894702,"teacher_disagreement_score":0.93089926,"about_ca_system_score_codex":0.00013936688,"about_ca_system_score_gemma":0.0000012128176,"threshold_uncertainty_score":0.39168566},"labels":[],"label_agreement":null},{"id":"W4250896563","doi":"10.22215/etd/2020-14228","title":"Efficient Backhaul Design for 5G Ultra Dense Cells","year":2020,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Backhaul (telecommunications); Computer science; Monte Carlo method; Computer network; Wireless; Mathematical optimization; Genetic algorithm; Linear programming; Default gateway; Heuristic; Wireless network; Mathematics; Algorithm; Telecommunications; Statistics","score_opus":0.012915732871369968,"score_gpt":0.22987346856456642,"score_spread":0.21695773569319646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250896563","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":[0.00035675714,0.0002810255,0.98128027,0.000005184068,0.0016907018,0.0013873198,0.000019980402,0.00062232616,0.014356444],"genre_scores_gemma":[0.518523,0.00024942574,0.4387967,0.000090579306,0.00086563185,0.0013358758,0.004048556,0.0010292726,0.03506096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990026,0.00001530044,0.00034455466,0.0002822449,0.000117907715,0.00023740405],"domain_scores_gemma":[0.9994245,0.00012467276,0.00007316044,0.00018452524,0.00010564989,0.0000874896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006677547,0.00029925138,0.0003075558,0.0000874265,0.000043686196,0.00003377228,0.0001268383,0.00025600262,0.00006480636],"category_scores_gemma":[0.000040832394,0.00031479012,0.00010177656,0.00014700054,0.0000042981537,0.000029871291,0.0000012558945,0.00013644733,0.00016190112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028005954,0.000007279092,1.0611584e-7,0.0006401917,0.00003368261,0.0000017476434,0.00038504094,0.951466,0.042783577,0.00008421644,0.004249492,0.00032061132],"study_design_scores_gemma":[0.00027250097,0.000034510773,9.193419e-7,0.00009905265,0.000044461558,0.0000010236969,0.00034112707,0.6644521,0.3327553,0.000023725408,0.0016040751,0.00037123988],"about_ca_topic_score_codex":0.000002493494,"about_ca_topic_score_gemma":0.000008329061,"teacher_disagreement_score":0.54248357,"about_ca_system_score_codex":0.00010316542,"about_ca_system_score_gemma":0.00003254523,"threshold_uncertainty_score":0.99993044},"labels":[],"label_agreement":null},{"id":"W4250958385","doi":"10.1109/isit.2011.6034238","title":"On the degrees of freedom of X channel with delayed CSIT","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Degrees of freedom (physics and chemistry); Channel state information; Fading; Channel (broadcasting); Computer science; Topology (electrical circuits); Antenna (radio); Transmitter; Telecommunications; Mathematics; Physics; Combinatorics; Wireless","score_opus":0.018887278553430947,"score_gpt":0.18501278142805994,"score_spread":0.166125502874629,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250958385","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":[0.05343855,0.000044976532,0.9044613,0.000004709535,0.00005892348,0.0001702966,0.000004482936,0.0000819244,0.04173482],"genre_scores_gemma":[0.98407596,0.000004707695,0.015767908,0.000002414239,0.0000071559693,0.000007011661,8.891109e-7,0.000014366117,0.000119598226],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997233,0.0000059206695,0.000110255074,0.000044850367,0.00005385686,0.00006182883],"domain_scores_gemma":[0.99971974,0.000030949992,0.000033255612,0.00016292125,0.000041245938,0.000011906007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003894702,0.00005742574,0.00008544896,0.000029196055,0.0000082865945,9.1600504e-7,0.000073636824,0.000023290126,0.000068400324],"category_scores_gemma":[0.000008570536,0.000033045413,0.000013831876,0.0000810386,0.000022472257,0.00004358433,0.0000064609235,0.000029835983,0.000004486563],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020792186,0.000011498911,0.00006525655,0.000020618107,0.000034160523,3.1195154e-7,0.000595409,0.98692673,0.0008718528,0.011261993,0.00014295368,0.00004842911],"study_design_scores_gemma":[0.0006049546,0.0004233278,0.0010724895,0.00014625012,0.000030997544,0.000004901739,0.0009146042,0.90888774,0.087186545,0.00048621433,0.000017747136,0.00022419858],"about_ca_topic_score_codex":0.00008953372,"about_ca_topic_score_gemma":0.00009247281,"teacher_disagreement_score":0.9306374,"about_ca_system_score_codex":0.00000687353,"about_ca_system_score_gemma":0.0000027470314,"threshold_uncertainty_score":0.13475528},"labels":[],"label_agreement":null},{"id":"W4252142967","doi":"10.22360/springsim.2018.cns.007","title":"Handover Oscillation Reduction in Ultra-Dense Heterogeneous Cellular Networks Using Enhanced Handover Approach","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Computer science; Computer network; Heterogeneous network; Reduction (mathematics); Soft handover; Wireless network; Wireless; Real-time computing; Telecommunications","score_opus":0.015824330852426235,"score_gpt":0.2263131184289276,"score_spread":0.21048878757650136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252142967","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":[0.20425853,0.00017440609,0.7900551,0.0000020175387,0.00065662,0.00033131184,0.0000010585038,0.00015933724,0.0043616267],"genre_scores_gemma":[0.9878637,0.00005674737,0.011447667,0.0000037197908,0.00025994104,0.000018878112,0.00001999676,0.000055352386,0.00027396515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898875,0.000028682662,0.00031062675,0.00027298977,0.00011798115,0.00028098605],"domain_scores_gemma":[0.9993058,0.0000116664405,0.00011389755,0.00046883174,0.000046267243,0.000053542346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000133957,0.0001930183,0.000221474,0.00009632939,0.00018414555,0.00012612987,0.00012242181,0.00016379103,0.00002144709],"category_scores_gemma":[0.000027648475,0.0002039999,0.000050796,0.00009136543,0.00003390364,0.0005682603,0.000017859606,0.0001312848,0.0000076189476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015673893,0.000010129628,0.00012899496,0.000023303232,0.000009477827,0.0000020003263,0.000112896676,0.87599164,0.12316081,0.00001863051,0.000013435486,0.0005130365],"study_design_scores_gemma":[0.00067319855,0.000008059292,0.00006856272,0.000038068367,0.000010155446,0.000019637993,0.000030850297,0.89644384,0.10243045,0.000030228177,0.000023396213,0.00022355239],"about_ca_topic_score_codex":0.000076144184,"about_ca_topic_score_gemma":0.000027288068,"teacher_disagreement_score":0.7836052,"about_ca_system_score_codex":0.00020583885,"about_ca_system_score_gemma":0.0000074872232,"threshold_uncertainty_score":0.8318874},"labels":[],"label_agreement":null},{"id":"W4252205034","doi":"10.32920/ryerson.14643738.v1","title":"Optimization of Radio and Infrastructure Resources for Efficient Massive Data Transmission and Storage in Mobile Cloud over 5G HetNet","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Heterogeneous network; Cloud computing; Data transmission; User equipment; Radio access network; Big data; Computer network; Transmission (telecommunications); Distributed computing; Base station; Operating system; Wireless network; Wireless; Telecommunications; Mobile station","score_opus":0.007869703690954617,"score_gpt":0.23364392368488596,"score_spread":0.22577421999393135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252205034","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":[0.10710659,0.0050417967,0.88622165,0.0000066242055,0.00020029009,0.001068122,0.00021627708,0.000065682005,0.00007300232],"genre_scores_gemma":[0.73317844,0.0019252974,0.26325604,0.000005808293,0.00009698218,0.00010466219,0.0012946767,0.00008909837,0.000049007223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883646,0.00003876809,0.00040599995,0.00046216237,0.0001112767,0.00014536137],"domain_scores_gemma":[0.9992409,0.00007539576,0.00011629714,0.000455023,0.000054932992,0.000057499154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014879448,0.00023777476,0.00041064035,0.0001478641,0.000025544112,0.000048290723,0.00015904961,0.00029882856,0.000030690957],"category_scores_gemma":[0.000026207652,0.00023365323,0.000025309304,0.000114600785,0.0000336106,0.00011350393,0.00019004178,0.0002149753,2.3834609e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020940557,0.000010492701,0.000080084974,0.0012168323,0.000025363674,0.0000015599975,0.0013824722,0.9946506,0.00059292733,0.000008023409,0.00011589754,0.0018947965],"study_design_scores_gemma":[0.0006297458,0.000019846371,0.00017109029,0.00042492672,0.00002935455,0.0000032589603,0.00043624567,0.9970609,0.00044756275,0.000015866595,0.00054465403,0.00021653193],"about_ca_topic_score_codex":0.0000183796,"about_ca_topic_score_gemma":0.000009910357,"teacher_disagreement_score":0.6260719,"about_ca_system_score_codex":0.00007316141,"about_ca_system_score_gemma":0.000026090534,"threshold_uncertainty_score":0.9528103},"labels":[],"label_agreement":null},{"id":"W4252659790","doi":"10.32920/14638455","title":"Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cognitive radio; Subcarrier; Transmitter; Computer science; Interference (communication); Fractional programming; Mathematical optimization; Orthogonal frequency-division multiplexing; Channel (broadcasting); Efficient energy use; Telecommunications; Electronic engineering; Mathematics; Electrical engineering; Nonlinear programming; Wireless; Engineering; Physics","score_opus":0.02696105581020501,"score_gpt":0.24948760465623757,"score_spread":0.22252654884603257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252659790","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":[0.0025994913,0.00039761746,0.9942938,0.000008934446,0.0007136981,0.001154219,0.000049467093,0.00040794406,0.00037480053],"genre_scores_gemma":[0.9173642,0.000011124275,0.08109214,0.00003520351,0.00008686209,0.00046322017,0.00068838365,0.00011654957,0.00014233016],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834406,0.000045913384,0.0005409947,0.0005905294,0.00014198555,0.0003365232],"domain_scores_gemma":[0.998612,0.00014411668,0.00015914292,0.00039806994,0.0005989548,0.00008770171],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015179426,0.0004169683,0.00042843784,0.00014429857,0.000060295395,0.00009460014,0.00019132168,0.00037414266,0.000021697897],"category_scores_gemma":[0.00007365069,0.00046174563,0.00014269348,0.00016128812,0.000037475522,0.00008184544,0.0001335197,0.00028309444,6.3643853e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022247319,0.0000391911,0.000002891777,0.00037964652,0.000067080015,0.0000010985864,0.00028347244,0.998084,0.00020690219,0.00025207183,0.000016398459,0.0006449859],"study_design_scores_gemma":[0.0003699977,0.000016986109,0.0000016661729,0.0009839421,0.00009621393,0.000002154044,0.00009064756,0.9972827,0.0005224041,0.00015341034,0.000002058566,0.00047785902],"about_ca_topic_score_codex":0.00008029211,"about_ca_topic_score_gemma":0.00012586842,"teacher_disagreement_score":0.9147647,"about_ca_system_score_codex":0.0005468747,"about_ca_system_score_gemma":0.00019627968,"threshold_uncertainty_score":0.99978346},"labels":[],"label_agreement":null},{"id":"W4253086733","doi":"10.22215/etd/2006-06223","title":"Decorrelation of MIMO channels with distributed base station antennas","year":2006,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Decorrelation; MIMO; Computer science; Telecommunications; Channel (broadcasting); Algorithm","score_opus":0.00521566594007588,"score_gpt":0.21012361666339613,"score_spread":0.20490795072332024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253086733","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":[0.03219101,0.00021555676,0.96065557,0.000002527057,0.0007120953,0.0005726666,0.00025391206,0.0003681378,0.005028548],"genre_scores_gemma":[0.92398745,0.00004354227,0.011646918,0.0000021204364,0.00009244028,0.000086028456,0.05955201,0.00014123948,0.004448253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989189,0.000017007305,0.00048438078,0.00021136858,0.0001901828,0.00017814994],"domain_scores_gemma":[0.9991776,0.000038811344,0.00024078836,0.0002050923,0.00029794648,0.000039771363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000056889956,0.00027811047,0.0003205843,0.00022058774,0.00003268443,0.000019665187,0.00007288433,0.00024079463,0.000048482998],"category_scores_gemma":[0.000020688733,0.0002644459,0.000047151632,0.0003558427,0.000010186189,0.00026757983,0.000002609922,0.000138131,0.000014627614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004709293,0.000021196987,0.00016923487,0.00051282346,0.000045586574,0.0000025389122,0.00018204715,0.9951575,0.0019224387,0.00015039733,0.0010329329,0.0007562182],"study_design_scores_gemma":[0.0013311949,0.00014706854,0.0030573914,0.0010772401,0.00020310002,0.0000068796503,0.0013326318,0.9541942,0.037082862,0.0001939998,0.0003628273,0.0010106312],"about_ca_topic_score_codex":0.000121578465,"about_ca_topic_score_gemma":0.00079091336,"teacher_disagreement_score":0.94900864,"about_ca_system_score_codex":0.00011421908,"about_ca_system_score_gemma":0.00003211621,"threshold_uncertainty_score":0.99998075},"labels":[],"label_agreement":null},{"id":"W4253418328","doi":"10.1109/wcncw.2016.7552686","title":"Resource optimization for energy efficiency in multi-cell massive MIMO with MRC detectors","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; MIMO; Fractional programming; Mathematical optimization; Transmitter power output; Telecommunications link; Convex optimization; Optimization problem; Base station; Transmission (telecommunications); Efficient energy use; Iterative method; Electronic engineering; Algorithm; Nonlinear programming; Mathematics; Telecommunications; Regular polygon; Electrical engineering; Engineering; Channel (broadcasting); Transmitter","score_opus":0.0071604246611111574,"score_gpt":0.19477621896930775,"score_spread":0.18761579430819658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253418328","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":[0.0018912836,0.00007784092,0.99594486,0.000020701735,0.000064510125,0.00028885802,0.0000053608046,0.00025362967,0.0014529442],"genre_scores_gemma":[0.815654,0.000017877686,0.18280149,0.000012567861,0.000024251416,0.000120988654,0.000008090078,0.000062512634,0.0012982711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992728,0.0000151188315,0.00020668663,0.0002004329,0.000070096205,0.000234865],"domain_scores_gemma":[0.9995971,0.000090898546,0.000043630644,0.00016807261,0.00005311237,0.000047202626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005572753,0.00014442454,0.00013319997,0.00014125036,0.000029030412,0.000011041837,0.00008649529,0.00007654064,0.000027043789],"category_scores_gemma":[0.000031597967,0.00009837858,0.000022365502,0.00021836681,0.000017553926,0.00016242913,0.0000104720175,0.000028001803,0.0000034733143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016357955,0.000018774763,0.000085671294,0.000023750785,0.000003603123,9.3922466e-7,0.000059962324,0.99431086,0.00385024,0.00007416274,0.000056897476,0.0014987579],"study_design_scores_gemma":[0.001703759,0.000058967173,0.000009216673,0.000060747978,0.000004490876,0.000001107041,0.00007917449,0.9616415,0.035518,0.000004115472,0.00072233117,0.0001965803],"about_ca_topic_score_codex":0.000014350623,"about_ca_topic_score_gemma":0.000107442385,"teacher_disagreement_score":0.81376266,"about_ca_system_score_codex":0.00013205296,"about_ca_system_score_gemma":0.000011347297,"threshold_uncertainty_score":0.40117618},"labels":[],"label_agreement":null},{"id":"W4253856075","doi":"10.22215/etd/2012-07358","title":"Coordinated multi-point transmission aided cell switch off schemes for energy efficient mobile cellular networks","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Library and Archives Canada","funders":"","keywords":"Computer science; Transmission (telecommunications); Point (geometry); Telecommunications; Mathematics","score_opus":0.00588100445686681,"score_gpt":0.21669291891716486,"score_spread":0.21081191446029804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253856075","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":[0.0022641888,0.012492607,0.9796554,0.0000012829541,0.001601597,0.00140581,0.000016258111,0.0007413774,0.0018215071],"genre_scores_gemma":[0.944901,0.00044439925,0.027805895,0.0000080904365,0.0002737123,0.0012468951,0.006443008,0.00042583857,0.018451158],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812657,0.00003160154,0.0007078823,0.00038651796,0.00014225609,0.00060517935],"domain_scores_gemma":[0.9989546,0.00007468648,0.00018630609,0.00036091765,0.0002269673,0.00019653785],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015770871,0.0005979192,0.0005837796,0.00021156453,0.00012022749,0.000037274094,0.00020735351,0.0007680106,0.00015899305],"category_scores_gemma":[0.000008599983,0.0005862895,0.00022858262,0.00026756586,0.000010143649,0.00013082105,0.000010393858,0.00026260907,0.000012668081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000502993,0.00010536524,0.0000013248315,0.0006846461,0.000047320726,8.84503e-7,0.00032780334,0.9242191,0.05992788,0.00005831778,0.00056548225,0.014011615],"study_design_scores_gemma":[0.0009105647,0.000036143538,0.0000014170246,0.00018733325,0.000083114064,6.282989e-7,0.00042191296,0.7813573,0.20680583,0.0000033782376,0.009643003,0.0005493762],"about_ca_topic_score_codex":0.000033334723,"about_ca_topic_score_gemma":0.00003282605,"teacher_disagreement_score":0.95184946,"about_ca_system_score_codex":0.00018490935,"about_ca_system_score_gemma":0.000031026637,"threshold_uncertainty_score":0.9996588},"labels":[],"label_agreement":null},{"id":"W4254042082","doi":"10.32920/ryerson.14645160","title":"Performance Analysis Of VSF-OFCDM Femtocells","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Femtocell; Femto-; Orthogonal frequency-division multiplexing; Macro; Computer science; Telecommunications link; Subcarrier; Interference (communication); Electronic engineering; Computer network; Channel (broadcasting); Engineering; Base station","score_opus":0.011078887994844952,"score_gpt":0.2194164085907559,"score_spread":0.20833752059591093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254042082","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":[0.24260065,0.00065492175,0.73129165,0.0000037821396,0.0005864191,0.00024072954,0.000025559271,0.00032684952,0.024269424],"genre_scores_gemma":[0.9719735,0.00055567716,0.026317284,0.000004861333,0.000039129733,0.00002805629,0.00026237685,0.000038288457,0.0007808647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901396,0.000014569378,0.00044104623,0.00024521578,0.0001364117,0.0001487938],"domain_scores_gemma":[0.99910414,0.000023935483,0.00010190129,0.0005962595,0.00013376478,0.000040025636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008416719,0.00020432021,0.0005840098,0.00036478136,0.000012966011,0.000023381168,0.00017902255,0.00021001925,0.0003497871],"category_scores_gemma":[0.000010961063,0.00021858866,0.00020478474,0.0006833593,0.00001362845,0.00008515227,0.00015202054,0.0002148554,0.000008259071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.555586e-7,0.0000074329696,0.0019157582,0.0005216497,0.0009128534,9.820486e-7,0.00016295107,0.9947744,0.0008354854,0.000009500576,0.00006128057,0.00079686544],"study_design_scores_gemma":[0.000053018393,0.0000037251718,0.0010483601,0.00009188029,0.00052925845,4.0531947e-7,0.0000787664,0.98739386,0.010540986,0.0000025325012,0.000043978045,0.00021324931],"about_ca_topic_score_codex":0.00002807085,"about_ca_topic_score_gemma":0.0000378275,"teacher_disagreement_score":0.7293728,"about_ca_system_score_codex":0.00008613237,"about_ca_system_score_gemma":0.000026412363,"threshold_uncertainty_score":0.8913787},"labels":[],"label_agreement":null},{"id":"W4254111880","doi":"10.36227/techrxiv.13204007","title":"PRVNet: Variational Autoencoders for Massive MIMO CSI Feedback","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Computer science; MIMO; Channel state information; Telecommunications link; Regularization (linguistics); Channel (broadcasting); Base station; Artificial neural network; Artificial intelligence; Computer engineering; Telecommunications; Wireless","score_opus":0.01939020550103363,"score_gpt":0.24040923908180659,"score_spread":0.22101903358077296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254111880","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":[0.000012221533,0.00012998887,0.9833541,0.00053123786,0.0020281712,0.0013115646,0.00021865137,0.00097521435,0.011438843],"genre_scores_gemma":[0.04248867,0.00005089011,0.95151305,0.00016987175,0.0009485985,0.0008953665,0.0014251039,0.0002167155,0.00229175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987519,0.000015478998,0.00041181827,0.00041990203,0.0001524912,0.0002484207],"domain_scores_gemma":[0.9992516,0.000093473915,0.00011628755,0.00028868858,0.00014898244,0.000100976875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000066729786,0.00032265743,0.00035219765,0.00008477016,0.000043286385,0.000065758955,0.00023484089,0.00033356773,0.00014895559],"category_scores_gemma":[0.000090624984,0.00035682693,0.00013796352,0.00009648741,0.000015074293,0.00011812603,0.00012791628,0.00029592126,0.000071907634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074219797,0.0000060653247,0.000007968165,0.00051347225,0.00012303493,0.0000010189118,0.0002170256,0.980581,0.00015461133,0.0043317527,0.013815146,0.00024147186],"study_design_scores_gemma":[0.00035590454,0.00001410174,0.000039558465,0.000074491894,0.00003794043,0.000001078045,0.0000530348,0.986946,0.000255571,0.0068806284,0.0049581295,0.00038356025],"about_ca_topic_score_codex":0.000009819275,"about_ca_topic_score_gemma":0.0000106965645,"teacher_disagreement_score":0.042476453,"about_ca_system_score_codex":0.00025039024,"about_ca_system_score_gemma":0.000095153526,"threshold_uncertainty_score":0.99988836},"labels":[],"label_agreement":null},{"id":"W4254167297","doi":"10.1109/glocom.2014.7417366","title":"A Local Search Algorithm for Resource Allocation for Underlaying Device-to-Device Communications","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; Queen's University","funders":"","keywords":"Computer science; Resource allocation; Telecommunications link; Heuristic; Resource management (computing); Mathematical optimization; Algorithm; Cellular network; Local search (optimization); Resource (disambiguation); Greedy algorithm; Interference (communication); Block (permutation group theory); Distributed computing; Computer network; Mathematics","score_opus":0.07882798558398227,"score_gpt":0.3457145059726765,"score_spread":0.2668865203886942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254167297","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":[0.00016632011,0.0006521913,0.9854233,0.0027668693,0.00022112616,0.0023331733,0.00037933583,0.00062911725,0.007428518],"genre_scores_gemma":[0.5983628,0.0001828446,0.3988931,0.00030040552,0.00006944621,0.0012566821,0.00075192074,0.000066756045,0.00011604041],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975862,0.00030324177,0.00078853406,0.00043822656,0.00024966802,0.0006341213],"domain_scores_gemma":[0.9933559,0.00087122165,0.00016469587,0.0041529424,0.0011550547,0.00030021043],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00095887866,0.0003863733,0.00046031125,0.00016265562,0.00078476535,0.00020132284,0.003036985,0.00024258469,0.000008758389],"category_scores_gemma":[0.00020838075,0.00046525762,0.00013649295,0.0007481738,0.0002491668,0.0004212684,0.00042793978,0.00030753057,0.00011507716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041858406,0.00028129222,0.00012685444,0.00032685974,0.00022861193,1.3555828e-7,0.000992955,0.33697975,0.00095946866,0.08730675,0.017043687,0.5557118],"study_design_scores_gemma":[0.00072062196,0.000076629585,0.00005310348,0.00014724486,0.00006023376,0.0000059175954,0.0009032837,0.86804634,0.00020802011,0.0013640285,0.12797222,0.00044235584],"about_ca_topic_score_codex":0.00020174705,"about_ca_topic_score_gemma":0.0015404982,"teacher_disagreement_score":0.5981965,"about_ca_system_score_codex":0.00076224835,"about_ca_system_score_gemma":0.00018523916,"threshold_uncertainty_score":0.99977994},"labels":[],"label_agreement":null},{"id":"W4254413418","doi":"10.32920/ryerson.14653761","title":"Energy efficient operation of a base transceiver station using Markov decision process","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Markov decision process; Quality of service; Energy consumption; Base station; Transceiver; Computer science; Process (computing); Markov chain; Efficient energy use; Markov process; Energy (signal processing); Computer network; Operations research; Engineering; Telecommunications; Electrical engineering","score_opus":0.01191188481350407,"score_gpt":0.25209336008530947,"score_spread":0.2401814752718054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254413418","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":[0.16882618,0.00032448323,0.82961875,0.000002210679,0.0004492723,0.0002573416,0.000024257908,0.00012213709,0.0003753703],"genre_scores_gemma":[0.8917565,0.00007477454,0.10774071,0.000005331542,0.000039520382,0.000033468168,0.00027112532,0.000054004795,0.000024586678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987099,0.000040090294,0.00053603033,0.00032155804,0.00025008354,0.00014234988],"domain_scores_gemma":[0.9991986,0.000039924667,0.0001056594,0.00028941763,0.00032013553,0.000046251498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121164616,0.00023054359,0.00031137452,0.00019218426,0.000032075353,0.000049233862,0.00010511536,0.00022077224,0.00010853799],"category_scores_gemma":[0.000022773875,0.0002444032,0.00007784643,0.00019126058,0.000012887833,0.00014145032,0.00003375856,0.00013725634,7.2248673e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012928682,0.000028553224,0.000008284812,0.0005385335,0.000026229049,0.0000025534232,0.00063184433,0.97816706,0.015509467,0.000032470994,0.0000075336234,0.0050345426],"study_design_scores_gemma":[0.0002507222,0.000007224433,0.000013532803,0.0005163837,0.000033232373,0.0000031400766,0.0002748779,0.941095,0.057550963,0.000034887344,0.000003917395,0.00021614722],"about_ca_topic_score_codex":0.000098617114,"about_ca_topic_score_gemma":0.00008280268,"teacher_disagreement_score":0.7229303,"about_ca_system_score_codex":0.00019954142,"about_ca_system_score_gemma":0.000100788304,"threshold_uncertainty_score":0.9966473},"labels":[],"label_agreement":null},{"id":"W4254621426","doi":"10.32920/ryerson.14652336","title":"Solving Channel Allocation by Reinforcement Learning in Cognitive Enabled Vehicular Ad Hoc Networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reinforcement learning; Computer science; Dynamic programming; Vehicular ad hoc network; Channel (broadcasting); Cognitive radio; Wireless ad hoc network; Q-learning; Channel allocation schemes; Mathematical optimization; Bellman equation; Artificial intelligence; Computer network; Algorithm; Wireless; Telecommunications; Mathematics","score_opus":0.010010348781601808,"score_gpt":0.22183160338615168,"score_spread":0.21182125460454987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254621426","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":[0.00401089,0.009440808,0.98154366,0.000017552347,0.00056299026,0.00080968,0.0000014023703,0.0005058833,0.003107156],"genre_scores_gemma":[0.9887419,0.0048528844,0.0023129233,0.000036244724,0.00009813098,0.0003898115,0.0018466493,0.000105263374,0.0016162231],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983167,0.00007265235,0.0005706923,0.00046057525,0.00017914879,0.00040019967],"domain_scores_gemma":[0.99928343,0.00007233419,0.00014917276,0.00023970859,0.00018471843,0.000070637674],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027939424,0.00036861212,0.00042795806,0.00015953217,0.000059664933,0.00011380626,0.00012980188,0.00043707772,0.000079243495],"category_scores_gemma":[0.000106362764,0.00044868747,0.000076876386,0.00023282124,0.0000126009545,0.00022931096,0.00023282705,0.00095387275,0.00000675933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000628202,0.000009522665,0.000027823604,0.00022582599,0.00007747965,0.00000919339,0.00075253926,0.9966106,0.00029142838,0.0000049324444,0.00014928762,0.0018350884],"study_design_scores_gemma":[0.0004447514,0.000015148477,0.000016143855,0.001308279,0.000028076724,0.0000019647623,0.0012692962,0.9951792,0.0011295784,0.000008691601,0.00015254035,0.0004463358],"about_ca_topic_score_codex":0.000040798797,"about_ca_topic_score_gemma":0.000083202634,"teacher_disagreement_score":0.98473096,"about_ca_system_score_codex":0.0004471107,"about_ca_system_score_gemma":0.00004604683,"threshold_uncertainty_score":0.9997965},"labels":[],"label_agreement":null},{"id":"W4254710034","doi":"10.1109/glocom.2014.7417812","title":"Feedback Energy Reduction in Massive MIMO Systems","year":2014,"lang":"en","type":"article","venue":"2015 IEEE Global Communications Conference (GLOBECOM)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"","keywords":"Channel state information; Computer science; MIMO; Energy consumption; Integer programming; Reduction (mathematics); Computational complexity theory; Base station; Heuristic; Mathematical optimization; Transmitter; Linear programming; Control theory (sociology); Channel (broadcasting); Computer network; Telecommunications; Algorithm; Wireless; Mathematics; Engineering; Electrical engineering","score_opus":0.024977711833886144,"score_gpt":0.26393724408512703,"score_spread":0.2389595322512409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254710034","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":[0.0051215068,0.002934843,0.87656945,0.00074582215,0.0026544735,0.00070063426,0.00011329874,0.0009680184,0.11019197],"genre_scores_gemma":[0.99222535,0.0009740675,0.0060665514,0.00002161618,0.000102092155,0.00018612508,0.00013819755,0.00003440468,0.00025157284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818647,0.00030485162,0.0006326303,0.00029628153,0.00018455499,0.00039523715],"domain_scores_gemma":[0.9973766,0.000073572315,0.0001666923,0.0019324594,0.0003116054,0.0001390543],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027283956,0.00029357924,0.00037789447,0.00013632793,0.00014251906,0.00012608,0.0010728416,0.00021462582,0.000022309901],"category_scores_gemma":[0.00006137873,0.0003393527,0.00005794071,0.000634605,0.00013469452,0.00048452246,0.00013214177,0.00024625374,0.0001587119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017594948,0.00013623228,0.00079752,0.000108448156,0.00006987962,0.0000013787256,0.00027260013,0.8066125,0.0017063065,0.15952677,0.014725365,0.01602542],"study_design_scores_gemma":[0.0007190371,0.00003597822,0.00041350286,0.00026170316,0.000024396586,0.000035465622,0.00064984814,0.96254444,0.00023202215,0.0023074446,0.032213733,0.0005624086],"about_ca_topic_score_codex":0.0009918888,"about_ca_topic_score_gemma":0.0012054796,"teacher_disagreement_score":0.9871039,"about_ca_system_score_codex":0.0006396704,"about_ca_system_score_gemma":0.00007335053,"threshold_uncertainty_score":0.9999058},"labels":[],"label_agreement":null},{"id":"W4280511043","doi":"10.1109/wcnc51071.2022.9771770","title":"Deep Reinforcement Learning for Joint User Association and Resource Allocation in Factory Automation","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Payload (computing); Reinforcement learning; Computer science; Robot; Automation; Mobile robot; Latency (audio); Resource allocation; Distributed computing; Factory (object-oriented programming); Computer network; Real-time computing; Engineering; Network packet; Artificial intelligence; Telecommunications","score_opus":0.028682253285058728,"score_gpt":0.24118763301048823,"score_spread":0.21250537972542952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280511043","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":[0.056585256,0.002185784,0.9381437,0.0003737374,0.0003412799,0.0010695035,0.000004550883,0.00034049785,0.0009557042],"genre_scores_gemma":[0.99486023,0.0022418005,0.0016405592,0.000030399971,0.000044354456,0.000624335,0.0002875873,0.000032677144,0.00023804407],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988362,0.00020037279,0.0003997144,0.00019048875,0.00015056408,0.00022263383],"domain_scores_gemma":[0.9990723,0.00024462264,0.00021271627,0.0003624092,0.00006723981,0.000040700397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061967236,0.00014252245,0.00020090854,0.00015719565,0.00056855043,0.00007481408,0.00019365523,0.00007374571,0.000011606007],"category_scores_gemma":[0.000019526522,0.0001834587,0.00002548409,0.00025735836,0.000027926384,0.00020372945,0.00015080608,0.0003779473,5.6793687e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007921588,0.000016441118,0.0021483824,0.000049697344,0.000026414717,1.7125396e-7,0.0020900054,0.95627964,0.0011175324,0.0011610087,0.00013367904,0.036969133],"study_design_scores_gemma":[0.0004027027,0.00003898476,0.0005912452,0.000062872066,0.000014992319,0.0000020556593,0.0012101824,0.98503107,0.00005077208,0.00008971957,0.0123175075,0.00018790759],"about_ca_topic_score_codex":0.000036142483,"about_ca_topic_score_gemma":0.00018897517,"teacher_disagreement_score":0.938275,"about_ca_system_score_codex":0.00045645717,"about_ca_system_score_gemma":0.00002399065,"threshold_uncertainty_score":0.74812293},"labels":[],"label_agreement":null},{"id":"W4280539614","doi":"10.1109/wcnc51071.2022.9771701","title":"Joint Beamforming and Clustering for Energy Efficient Multi-Cloud Radio Access Networks","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Wireless Communications and Networking Conference (WCNC)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Ministry of Education","keywords":"Cloud computing; Computer science; Beamforming; Base station; Efficient energy use; Distributed computing; Radio access network; Transmitter power output; Remote radio head; Cellular network; Computer network; Wireless; Engineering; Mobile station; Telecommunications; Cognitive radio; Electrical engineering","score_opus":0.051133955519751445,"score_gpt":0.2652739250837906,"score_spread":0.21413996956403916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280539614","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":[0.008500505,0.006393557,0.9830357,0.00008264567,0.0010428171,0.00047214702,0.000024246405,0.00024595537,0.0002024599],"genre_scores_gemma":[0.98377335,0.0069139353,0.008040492,0.0000494382,0.00018499141,0.00076006266,0.00012759994,0.00007121797,0.0000789079],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986013,0.00011652723,0.00045425075,0.0003138334,0.000119755976,0.00039434314],"domain_scores_gemma":[0.9986702,0.0002254129,0.00016315946,0.00077034935,0.000067766814,0.00010306697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037912326,0.00024956165,0.0003408444,0.00013624848,0.0012185953,0.00018272788,0.0006082098,0.00007741361,0.000008704867],"category_scores_gemma":[0.000005113267,0.00029664364,0.000053560845,0.00032746317,0.0001039595,0.00016224591,0.0007579116,0.0003615967,1.4685683e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009726485,0.000030328038,0.00008821681,0.000048083533,0.000040250394,7.9230307e-7,0.00052859075,0.937031,0.00037920527,0.0011101286,0.00010074535,0.060632933],"study_design_scores_gemma":[0.0005356735,0.000033123546,0.000023112372,0.00010871887,0.000028097147,0.000026056037,0.000419817,0.98830235,0.00004564821,0.000045142497,0.010105008,0.00032727193],"about_ca_topic_score_codex":0.00006651756,"about_ca_topic_score_gemma":0.0002593799,"teacher_disagreement_score":0.97527283,"about_ca_system_score_codex":0.00014596488,"about_ca_system_score_gemma":0.000027250144,"threshold_uncertainty_score":0.99994856},"labels":[],"label_agreement":null},{"id":"W4281725835","doi":"10.5539/nct.v7n1p12","title":"Power Management of Base Transceiver Stations for Mobile Networks","year":2022,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Università degli Studi di Roma Tor Vergata","keywords":"Base transceiver station; Base station; Computer network; Wireless; Transceiver; Computer science; User equipment; Wireless network; Telecommunications; Quality of service; Watt; Power management; Transmission (telecommunications); Cellular network; Engineering; Power (physics); Wi-Fi array","score_opus":0.007360470047367357,"score_gpt":0.2167408089605574,"score_spread":0.20938033891319002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281725835","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":[0.004042766,0.017521445,0.97479975,0.00010054923,0.00009023413,0.00088250096,0.000025397223,0.0010076547,0.001529686],"genre_scores_gemma":[0.95425767,0.0041577388,0.040215477,0.0000058946594,0.000002512022,0.0012436236,0.000051121402,0.000015349628,0.00005059396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957895,0.000019236712,0.00017149613,0.00007784059,0.000043987577,0.000108514105],"domain_scores_gemma":[0.9994549,0.00006379035,0.00004896151,0.00039965712,0.000025632915,0.000007056246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011379345,0.000067681816,0.000097295626,0.00004589284,0.00020167165,0.0000065770096,0.00022563458,0.000037452995,0.0000128149995],"category_scores_gemma":[0.0000019309057,0.000076837176,0.000019562087,0.00023813157,0.000049677234,0.000059930793,0.00009438133,0.000104680475,1.691768e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060710654,0.00001165909,0.00003791901,0.000029568617,0.000028325621,9.151039e-8,0.00009227601,0.96533364,0.000019430294,0.012446221,0.0010439589,0.020950848],"study_design_scores_gemma":[0.0010019786,0.00024568447,0.00020164387,0.00009719391,0.00006134305,0.0000038215794,0.016762737,0.9150227,0.00034394144,0.014380875,0.051504057,0.00037405148],"about_ca_topic_score_codex":8.471937e-7,"about_ca_topic_score_gemma":0.0000016815321,"teacher_disagreement_score":0.9502149,"about_ca_system_score_codex":0.000029657547,"about_ca_system_score_gemma":0.000001913485,"threshold_uncertainty_score":0.31333292},"labels":[],"label_agreement":null},{"id":"W4281935522","doi":"10.1038/s41598-022-13358-z","title":"Solar radio emission as a disturbance of radiomobile networks","year":2022,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"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":"Branco Weiss Fellowship – Society in Science","keywords":"Base station; Context (archaeology); Telecommunications; Computer science; 3rd Generation Partnership Project 2; Disturbance (geology); General partnership; Environmental science; Computer network; Telecommunications link; Business; Geography","score_opus":0.004738949555420509,"score_gpt":0.20412559676224742,"score_spread":0.19938664720682692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281935522","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":[0.251903,0.007174888,0.69265985,0.00002439848,0.039282106,0.0012935487,0.000012416258,0.0008627664,0.006787036],"genre_scores_gemma":[0.99505097,0.000007610772,0.0011098649,0.000002710278,0.00005071701,0.00007121785,0.000062176456,0.00002924079,0.003615472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986789,0.000031733853,0.00043234797,0.00033912342,0.00031058592,0.00020730871],"domain_scores_gemma":[0.99906343,0.000016336315,0.00017475334,0.00062491687,0.00005111761,0.00006945396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006649701,0.000102918144,0.00017081772,0.00010060314,0.000260128,0.000036763573,0.000120813434,0.000030645762,0.00017126872],"category_scores_gemma":[0.00004736397,0.00010921014,0.0000613394,0.0006289746,0.000058684844,0.00014949251,0.00006923995,0.00013068583,0.0000023983257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027397002,0.00001659106,0.0005013236,0.000027599926,0.000007957757,0.00008639989,0.0003035304,0.966957,0.015892683,0.000015825228,0.015255868,0.00093251764],"study_design_scores_gemma":[0.0002613037,0.000058001373,0.00009780264,0.00007853483,0.000023840035,0.0010716163,0.00031541276,0.78732336,0.04237833,0.0020120475,0.16592352,0.00045623502],"about_ca_topic_score_codex":0.000006331324,"about_ca_topic_score_gemma":7.166568e-7,"teacher_disagreement_score":0.74314797,"about_ca_system_score_codex":0.00013431635,"about_ca_system_score_gemma":0.00003738121,"threshold_uncertainty_score":0.44534603},"labels":[],"label_agreement":null},{"id":"W4282828886","doi":"10.1016/j.asoc.2022.109152","title":"Artificial Bee optimization aided joint user association and resource allocation in HCRAN","year":2022,"lang":"en","type":"article","venue":"Applied Soft Computing","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":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Heterogeneous network; Resource allocation; Radio access network; Cloud computing; Distributed computing; Cellular network; Orthogonal frequency-division multiplexing; Efficient energy use; Base station; Baseband; Joint (building); Energy consumption; Computer network; Wireless network; Wireless; Mobile station; Telecommunications; Bandwidth (computing); Engineering","score_opus":0.008901281676998385,"score_gpt":0.19765906009758769,"score_spread":0.1887577784205893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282828886","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":[0.08865571,0.000053120802,0.9093663,0.00008631484,0.00013987647,0.0004235197,0.0000026756802,0.00038017315,0.0008922938],"genre_scores_gemma":[0.9771934,0.0000029459964,0.022467827,0.000069068774,0.000082609266,0.000043720334,0.00007182178,0.00004453096,0.000024062852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989122,0.000053687494,0.00040106138,0.00022437301,0.00018498764,0.00022367414],"domain_scores_gemma":[0.9996024,0.00011019513,0.00013361512,0.00009757972,0.000024556974,0.00003168494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005466489,0.00012471636,0.00017060159,0.00015703365,0.00021470556,0.000040928535,0.00006668288,0.0000633312,0.000012724222],"category_scores_gemma":[0.000051728657,0.00017289016,0.00001751545,0.00037177946,0.0000073978513,0.000088044064,0.000079847225,0.00022900035,0.0000032172275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061744677,0.0000123427435,0.00033568186,0.000020946112,0.000008768398,6.194795e-7,0.0009818048,0.9886775,0.00460158,0.00056793366,0.00013810501,0.004648566],"study_design_scores_gemma":[0.00027501388,0.000008802525,0.00037533618,0.000012296683,0.0000069754933,0.000002048221,0.0005298526,0.9973765,0.0007303092,0.00016413846,0.00034238977,0.0001763182],"about_ca_topic_score_codex":0.00001110504,"about_ca_topic_score_gemma":0.000009373924,"teacher_disagreement_score":0.8885377,"about_ca_system_score_codex":0.0005290897,"about_ca_system_score_gemma":0.000011320597,"threshold_uncertainty_score":0.7050256},"labels":[],"label_agreement":null},{"id":"W4283710876","doi":"10.11591/ijece.v12i4.pp3911-3921","title":"Data detection method for uplink massive MIMO systems based on the long recurrence enlarged conjugate gradient","year":2022,"lang":"en","type":"article","venue":"International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Conjugate gradient method; Diagonal; MIMO; Inversion (geology); Algorithm; Computer science; Neumann series; Minimum mean square error; Matrix (chemical analysis); Mathematics; Mathematical optimization; Channel (broadcasting); Statistics; Telecommunications; Mathematical analysis; Estimator","score_opus":0.009482752663272854,"score_gpt":0.24492117791806625,"score_spread":0.2354384252547934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283710876","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":[0.0055186846,0.004402925,0.9834228,0.00036533165,0.0059170807,0.00026701178,0.00007415875,0.000020400266,0.00001156647],"genre_scores_gemma":[0.99413365,0.00038860392,0.004412069,0.000071500195,0.0009058711,0.000019848818,0.000021464028,0.00003817937,0.000008835819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976086,0.0001307111,0.0009928719,0.00021508025,0.0007819005,0.0002708435],"domain_scores_gemma":[0.9973038,0.0006665361,0.00073324837,0.00015578403,0.0010172335,0.00012341636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013063679,0.00024068794,0.0003942019,0.00054263696,0.000106764295,0.0002447574,0.0009311711,0.00006165921,0.000004186155],"category_scores_gemma":[0.00013577848,0.00019392293,0.00013611338,0.00017653898,0.000016707565,0.00032571092,0.0001253533,0.00068807125,2.4749716e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019613394,0.000057235342,0.00005688788,0.00002381418,0.00066434016,0.0000670581,0.00008245359,0.98891,0.0010216197,0.004341433,0.00037648017,0.0042025284],"study_design_scores_gemma":[0.0011678546,0.0007318698,0.00006919586,0.00017544698,0.000050491602,0.0015474331,0.000039742707,0.98741114,0.00028167941,0.00009407347,0.008245216,0.00018588276],"about_ca_topic_score_codex":0.0000049224705,"about_ca_topic_score_gemma":0.0000012935963,"teacher_disagreement_score":0.9886149,"about_ca_system_score_codex":0.0005644404,"about_ca_system_score_gemma":0.000106949,"threshold_uncertainty_score":0.79079473},"labels":[],"label_agreement":null},{"id":"W4283763428","doi":"10.48550/arxiv.2206.14427","title":"Multi-user Downlink Beamforming using Uplink Downlink Duality with 1-bit Converters for Flat Fading Channels","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Electrical, Communications and Cyber Systems; Natural Sciences and Engineering Research Council of Canada; Samsung; National Science Foundation","keywords":"Telecommunications link; Quantization (signal processing); Beamforming; Computer science; Electronic engineering; Duality (order theory); Base station; Fading; Block Error Rate; Algorithm; Mathematics; Decoding methods; Computer network; Engineering; Telecommunications","score_opus":0.07271904087437775,"score_gpt":0.21031360590313042,"score_spread":0.13759456502875267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283763428","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":[0.12000359,0.00008448413,0.8759012,0.000009694885,0.0014479395,0.0015113557,0.00016100219,0.0007278929,0.00015282254],"genre_scores_gemma":[0.9447084,0.00009978266,0.053181093,0.000036497255,0.00020806183,0.000023930263,0.00039498552,0.00020784231,0.0011393767],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975231,0.00007074632,0.00048098565,0.0011178975,0.000108451895,0.00069878023],"domain_scores_gemma":[0.99820316,0.00014107725,0.00035983595,0.0008833173,0.000201979,0.0002106388],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033384367,0.00068262254,0.0007482061,0.00043969523,0.00041294203,0.00008655624,0.0006276797,0.0004405107,0.00007102328],"category_scores_gemma":[0.000030730524,0.0008235345,0.00027988458,0.00053220504,0.000092184804,0.000567804,0.00056169595,0.000877384,0.00001003855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007830225,0.000024205816,0.0007371518,0.0006924999,0.00029449334,0.000058692312,0.0005782118,0.99600655,0.0006240632,0.0007954985,0.000021661488,0.00008868204],"study_design_scores_gemma":[0.0016411613,0.00004475133,0.00001434141,0.00029344263,0.00027056466,0.0000111757045,0.0005910902,0.99442065,0.0006863486,0.0002920755,0.000739683,0.0009946998],"about_ca_topic_score_codex":0.00012462564,"about_ca_topic_score_gemma":0.000035313904,"teacher_disagreement_score":0.8247048,"about_ca_system_score_codex":0.0013726377,"about_ca_system_score_gemma":0.00011727259,"threshold_uncertainty_score":0.99942154},"labels":[],"label_agreement":null},{"id":"W4285026069","doi":"10.21203/rs.3.rs-1594660/v1","title":"Beamforming Based Algorithm for 5G Applications","year":2022,"lang":"en","type":"preprint","venue":"Research Square","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":"Concordia University","funders":"","keywords":"Beamforming; Algorithm; Computer science; Telecommunications","score_opus":0.046673434733611914,"score_gpt":0.37792984344318,"score_spread":0.3312564087095681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285026069","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":[0.000011836248,0.0014836136,0.98920244,0.000047424477,0.0002678569,0.004416461,0.0007093765,0.00055411557,0.003306881],"genre_scores_gemma":[0.025758337,0.0005691787,0.88432854,0.0000216272,0.0014319898,0.07872721,0.0065719443,0.000556862,0.0020343163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980734,0.000084956075,0.00032192378,0.00044198873,0.00052772625,0.0005500158],"domain_scores_gemma":[0.9983027,0.0003880398,0.000049802704,0.00076760526,0.0003684954,0.00012336767],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008694341,0.0002136975,0.00025828014,0.0004946106,0.00036303452,0.000085680855,0.00047812928,0.00020703816,0.0001641771],"category_scores_gemma":[0.00007191306,0.00025829024,0.00013630823,0.0004688844,0.000037881346,0.00008196403,0.00020739167,0.0010714186,0.000023818364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027291865,0.000023623526,0.000008754895,0.0018370892,0.00002510973,0.0000013900744,0.00007345654,0.90411836,0.000065425425,0.00020431457,0.0010286447,0.09261111],"study_design_scores_gemma":[0.00021836205,0.00003209446,0.00000462676,0.00015038284,0.000006674605,7.5616236e-7,0.00021618725,0.8869029,0.0005369794,0.00094316254,0.110749565,0.00023826509],"about_ca_topic_score_codex":0.000027762391,"about_ca_topic_score_gemma":0.0000073353103,"teacher_disagreement_score":0.10972092,"about_ca_system_score_codex":0.00087101955,"about_ca_system_score_gemma":0.00019604656,"threshold_uncertainty_score":0.99998695},"labels":[],"label_agreement":null},{"id":"W4285047828","doi":"10.1109/iccworkshops53468.2022.9814632","title":"Precoding Design and Sum Rate upper bound of RSMA Using Interference Nulling","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Precoding; Zero-forcing precoding; Computer science; Upper and lower bounds; Interference (communication); Mathematical optimization; Maximization; Transmitter; Optimization problem; Single antenna interference cancellation; Algorithm; Mathematics; MIMO; Telecommunications; Decoding methods; Channel (broadcasting)","score_opus":0.10456364879986314,"score_gpt":0.31840209043522943,"score_spread":0.2138384416353663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285047828","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":[0.03038059,0.0010011091,0.9585863,0.0007822653,0.0018590592,0.0008144258,0.00008880792,0.00030061946,0.006186873],"genre_scores_gemma":[0.95797193,0.0015961502,0.039524212,0.00006438943,0.00006605983,0.00026714944,0.000105739455,0.000075494456,0.0003288634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976734,0.00045710418,0.00078733184,0.0004055549,0.00034792133,0.00032871153],"domain_scores_gemma":[0.9973576,0.0007859209,0.00031547903,0.0011536086,0.00028998588,0.000097389144],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008379063,0.0003299507,0.00036977345,0.0004891728,0.0005407418,0.00017724728,0.0016156981,0.00011024171,0.0005654073],"category_scores_gemma":[0.0001244268,0.0004043869,0.00009208631,0.000643174,0.00019046615,0.000455442,0.0005834758,0.00090218335,0.000009270158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008761662,0.000111803216,0.00021264007,0.000026975602,0.00015782911,0.0000028128172,0.0011084503,0.9615655,0.012789645,0.011483717,0.0003209818,0.012132011],"study_design_scores_gemma":[0.0004015433,0.00004556285,0.00008548521,0.00033067793,0.000034681707,0.00003316791,0.0018480766,0.9937262,0.0011845718,0.0013691304,0.0005551771,0.000385715],"about_ca_topic_score_codex":0.000021075015,"about_ca_topic_score_gemma":0.000024634695,"teacher_disagreement_score":0.9275913,"about_ca_system_score_codex":0.00046638836,"about_ca_system_score_gemma":0.00009107901,"threshold_uncertainty_score":0.9998408},"labels":[],"label_agreement":null},{"id":"W4285124289","doi":"10.1109/lwc.2022.3173307","title":"A Novel ASAPPP Approach to Characterize the SIR Distribution in General Cellular Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Ericsson (Canada)","funders":"Dalian Science and Technology Innovation Fund; Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Liaoning Revitalization Talents Program; National Natural Science Foundation of China","keywords":"Computer science; Poisson distribution; Point process; Cellular network; Coverage probability; Stochastic geometry; Poisson point process; Interference (communication); Simple (philosophy); Mathematical optimization; Key (lock); Probability distribution; Algorithm; Mathematics; Telecommunications; Statistics","score_opus":0.02114213325877405,"score_gpt":0.21504770443031032,"score_spread":0.19390557117153628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285124289","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":[0.12115184,0.00012936402,0.8758213,0.0015770739,0.0002859112,0.00059325114,0.00009168458,0.000179061,0.00017050924],"genre_scores_gemma":[0.99018574,0.00003847505,0.0067179035,0.0006284208,0.000079852776,0.0012669301,0.0010097455,0.000048294223,0.00002464817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889976,0.00016644235,0.00033836492,0.00017929476,0.00014108614,0.0002750792],"domain_scores_gemma":[0.9983935,0.00007652599,0.00006773525,0.0013876597,0.000028152213,0.000046474805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002894441,0.00015795298,0.00016842752,0.000083740255,0.00038325292,0.000043631462,0.001080616,0.000039836854,0.000003377853],"category_scores_gemma":[0.000007666057,0.00016395905,0.000044744615,0.0008746424,0.00005374324,0.00013100069,0.0002391373,0.00050096505,0.000005017359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003702267,0.00005888333,0.000059139045,0.000006961812,0.000012689672,3.8476435e-7,0.0004193321,0.907682,0.08954109,0.0005627977,0.0010289329,0.0006241009],"study_design_scores_gemma":[0.00024331725,0.000005618072,0.0006453384,0.0000111833215,0.0000074291256,0.000008739884,0.00015499514,0.9911878,0.0003418883,0.0000023765315,0.007184072,0.00020724363],"about_ca_topic_score_codex":0.00008250299,"about_ca_topic_score_gemma":0.000021473514,"teacher_disagreement_score":0.8691034,"about_ca_system_score_codex":0.00041464932,"about_ca_system_score_gemma":0.000011429492,"threshold_uncertainty_score":0.66860557},"labels":[],"label_agreement":null},{"id":"W4285181159","doi":"10.1109/tcomm.2022.3186997","title":"Robust Task Scheduling for Delay-Aware IoT Applications in Civil Aircraft-Augmented SAGIN","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Scheduling (production processes); Distributed computing; Transmission delay; Queuing delay; Optimization problem; Queueing theory; Real-time computing; Data transmission; Computer network; Mathematical optimization; Algorithm","score_opus":0.030315066493719796,"score_gpt":0.2542974678061702,"score_spread":0.2239824013124504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285181159","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":[0.0006077361,0.0004979992,0.9953318,0.0003551868,0.00023744721,0.0015163169,0.00042307636,0.0005730342,0.0004573908],"genre_scores_gemma":[0.9399865,0.00022830653,0.051015913,0.000051093226,0.000017731598,0.008197947,0.00023275542,0.00009135735,0.00017836413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986957,0.00010739074,0.0004929359,0.00026312657,0.00014880995,0.00029204102],"domain_scores_gemma":[0.9979697,0.00034980167,0.000073271025,0.0014446065,0.00008725472,0.00007538453],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002134005,0.00021144365,0.00021804741,0.0004170781,0.0009733987,0.000035496556,0.00074208697,0.0000734935,0.00006998621],"category_scores_gemma":[0.0000050625886,0.00028067507,0.0001124246,0.0010039995,0.00005488195,0.00017916024,0.000011282548,0.0005869898,0.000015192837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008490638,0.00023308929,0.000011054455,0.000031726813,0.000039156574,2.15001e-7,0.0003669346,0.9954215,0.00077410333,0.0002519152,0.00008759831,0.0027741713],"study_design_scores_gemma":[0.00075289473,0.000042093925,0.000014615483,0.000036278183,0.000045325072,0.00000782102,0.0014522402,0.9856266,0.0006529165,0.00019328693,0.010861982,0.00031394837],"about_ca_topic_score_codex":0.000050600665,"about_ca_topic_score_gemma":0.0010109078,"teacher_disagreement_score":0.9443159,"about_ca_system_score_codex":0.00059134397,"about_ca_system_score_gemma":0.000056133315,"threshold_uncertainty_score":0.99996454},"labels":[],"label_agreement":null},{"id":"W4285247717","doi":"10.1109/tvt.2022.3185225","title":"EXIT-Aided Scheduled Iterative MIMO Detection Under Non-Homogeneous Antenna Propagation Gain Scenarios","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"National Natural Science Foundation of China","keywords":"MIMO; Low-density parity-check code; Fading; Algorithm; Decoding methods; Computer science; 3G MIMO; Computational complexity theory; Bit error rate; Mathematics; Telecommunications; Channel (broadcasting)","score_opus":0.007200716703567898,"score_gpt":0.20980030924731116,"score_spread":0.20259959254374327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285247717","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1250884,0.00011979008,0.8714681,0.00017363051,0.0007733094,0.0008619383,0.000024139972,0.001444281,0.000046366815],"genre_scores_gemma":[0.99469006,0.000054439584,0.0038456235,0.000052218373,0.000030001369,0.0010853241,0.000016764947,0.00010272848,0.00012281367],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843955,0.0000922744,0.0004087794,0.00044589164,0.00023172387,0.00038180675],"domain_scores_gemma":[0.99922776,0.00003141188,0.00009502001,0.00047889876,0.00010995517,0.00005693293],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014298124,0.00030789842,0.00029751725,0.0013527125,0.0005572182,0.00002734041,0.00021630208,0.00028183937,0.00007921294],"category_scores_gemma":[0.000007935135,0.0003594722,0.00011230564,0.0018372572,0.000082953804,0.00020024895,0.0000047545655,0.0008138958,0.00005300973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027446727,0.00006986735,0.0000019739223,0.000021707261,0.00006991036,0.000020873687,0.00009892306,0.70952547,0.28506747,0.000046355857,0.0000060704356,0.005043919],"study_design_scores_gemma":[0.00064737635,0.00023780807,0.0000034608274,0.000025731128,0.000038697995,0.00019804259,0.00053776003,0.63375926,0.36389914,0.00022315356,0.0001341443,0.00029543214],"about_ca_topic_score_codex":0.000011698797,"about_ca_topic_score_gemma":0.00006882467,"teacher_disagreement_score":0.86960167,"about_ca_system_score_codex":0.0005239242,"about_ca_system_score_gemma":0.000031327545,"threshold_uncertainty_score":0.99988574},"labels":[],"label_agreement":null},{"id":"W4285257067","doi":"10.1109/lcomm.2022.3174774","title":"On the Capacity of Gaussian MIMO Channels With Memory","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Channel capacity; Channel (broadcasting); Covariance matrix; Topology (electrical circuits); Computer science; Spectral density; Mathematics; Telecommunications; Gaussian; Transmission (telecommunications); Mathematical optimization; Algorithm; Combinatorics","score_opus":0.025698013773248932,"score_gpt":0.22059500178635555,"score_spread":0.19489698801310662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285257067","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":[0.62978184,0.00038245766,0.3277927,0.025198493,0.00096939283,0.0015847784,0.000117857344,0.000637393,0.01353507],"genre_scores_gemma":[0.99577403,0.000013207989,0.0033272284,0.0005481265,0.000014477417,0.00024902838,0.00001278133,0.000027049655,0.000034086293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994161,0.0001319025,0.00015458064,0.00007401268,0.00011687596,0.00010649811],"domain_scores_gemma":[0.9983103,0.00018830266,0.000063042244,0.0013995332,0.000019979558,0.000018839555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014973381,0.00008534123,0.00009638651,0.00007348596,0.00026889463,0.000008533916,0.00067406154,0.00001319197,0.000031218675],"category_scores_gemma":[0.0000103348,0.0000698075,0.000027382745,0.00027060826,0.000103732964,0.00006249834,0.000059372942,0.00025693557,0.000006328215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036047093,0.000020458103,0.000013180011,0.000010243085,0.000027470705,3.2060933e-7,0.0009928071,0.9795914,0.014307292,0.0016740185,0.003272078,0.0000870788],"study_design_scores_gemma":[0.0027916413,0.00045923257,0.00056378404,0.000429841,0.00018522023,0.00012615713,0.00765982,0.8602925,0.088880934,0.0013393306,0.03524315,0.0020284017],"about_ca_topic_score_codex":0.000027971453,"about_ca_topic_score_gemma":0.000016458935,"teacher_disagreement_score":0.36599216,"about_ca_system_score_codex":0.000099727695,"about_ca_system_score_gemma":0.000006765069,"threshold_uncertainty_score":0.28466672},"labels":[],"label_agreement":null},{"id":"W4285283743","doi":"10.1109/tmtt.2022.3184018","title":"Massive MIMO Precoding Methods That Minimize the Variation in Average Power and Active Impedance With Channel Conditions","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; Transmitter; Zero-forcing precoding; MIMO; Electronic engineering; Antenna (radio); Computer science; Control theory (sociology); Electrical impedance; Channel (broadcasting); Engineering; Telecommunications; Electrical engineering","score_opus":0.009388274447961526,"score_gpt":0.2525621976175034,"score_spread":0.2431739231695419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285283743","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":[0.024841726,0.0001196313,0.9733298,0.00004719857,0.000108702276,0.00059012306,0.00008640152,0.00022989746,0.0006465446],"genre_scores_gemma":[0.97662824,0.00016861132,0.022406736,0.000052770883,0.000007947309,0.0006001444,0.0000044289377,0.000035478934,0.000095630494],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99903184,0.00038652853,0.00015223467,0.00021222385,0.00006440929,0.00015278663],"domain_scores_gemma":[0.99928916,0.0004413565,0.000060899532,0.00015777462,0.00002263506,0.000028162112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042122,0.00016620706,0.00016150317,0.0001763575,0.00033361063,0.000026446132,0.00007228305,0.000057742807,0.000044565622],"category_scores_gemma":[0.0000050025797,0.00014175396,0.000028883956,0.0002023914,0.00007835501,0.00024232415,0.0000033457247,0.00035251447,3.3185333e-7],"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":[0.0007223633,0.00012979363,0.0000073860756,0.00009222629,0.00022233924,0.000013780819,0.017809372,0.28777647,0.6592316,0.005655103,0.000026345935,0.028313218],"study_design_scores_gemma":[0.00049780286,0.00015937054,0.000060087878,0.00008948699,0.000054456556,0.0000950767,0.0030938974,0.0051992773,0.97829664,0.012029056,0.00009738143,0.00032745866],"about_ca_topic_score_codex":0.0000056451804,"about_ca_topic_score_gemma":0.000010286892,"teacher_disagreement_score":0.9517865,"about_ca_system_score_codex":0.00011323902,"about_ca_system_score_gemma":0.000011139163,"threshold_uncertainty_score":0.57805586},"labels":[],"label_agreement":null},{"id":"W4285284453","doi":"10.1109/lwc.2022.3175147","title":"A Distortion Nullforming Precoder in Massive MIMO Systems With Nonlinear Hardware","year":2022,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"Precoding; MIMO; Distortion (music); Nonlinear distortion; Computer science; Nonlinear system; Electronic engineering; Envelope (radar); Antenna (radio); SIGNAL (programming language); Transmission (telecommunications); Line-of-sight; Control theory (sociology); Topology (electrical circuits); Telecommunications; Channel (broadcasting); Physics; Electrical engineering; Engineering; Bandwidth (computing); Artificial intelligence","score_opus":0.0132052497345853,"score_gpt":0.22080504050446223,"score_spread":0.20759979076987692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285284453","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":[0.31315014,0.0010180386,0.6806445,0.0011453561,0.0008171976,0.0014294209,0.00013713707,0.0007164246,0.0009417566],"genre_scores_gemma":[0.99100304,0.00006840265,0.007306817,0.00008194347,0.0000374277,0.0011501156,0.00020260022,0.00007573939,0.00007392275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988624,0.00014980944,0.0003779149,0.00018519063,0.00018248204,0.00024220716],"domain_scores_gemma":[0.9987404,0.00007838373,0.00012002306,0.0009742878,0.000042454376,0.000044505574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015367927,0.00017234067,0.00021403487,0.00022400676,0.0002992313,0.000038030357,0.00055432087,0.000038658993,0.000007714729],"category_scores_gemma":[0.000005493636,0.00019416156,0.00003465492,0.00049511576,0.000057407993,0.00031093514,0.00009755499,0.00043104735,0.000008930961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009130242,0.00003708451,0.0008263909,0.000057727724,0.000025491008,0.0000052749388,0.0009542512,0.99317604,0.0036697232,0.00004776294,0.0004437329,0.0007473709],"study_design_scores_gemma":[0.0005192368,0.000020859205,0.00013350057,0.00013124665,0.000015592615,0.000027670105,0.0013530453,0.99098426,0.00029566308,0.0000019117058,0.0061951983,0.00032181933],"about_ca_topic_score_codex":0.00012555603,"about_ca_topic_score_gemma":0.00019682496,"teacher_disagreement_score":0.67785287,"about_ca_system_score_codex":0.0007121672,"about_ca_system_score_gemma":0.000023767865,"threshold_uncertainty_score":0.79176784},"labels":[],"label_agreement":null},{"id":"W4285502908","doi":"10.1109/cwit55308.2022.9817672","title":"A Hybrid Random-Greedy Approach to User Selection for MU-MIMO Based on Pairwise Metrics","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Metric (unit); Selection (genetic algorithm); Greedy algorithm; Pairwise comparison; Computer science; MIMO; Subspace topology; Telecommunications link; Linear subspace; Mathematical optimization; Algorithm; Performance metric; Monte Carlo method; Mathematics; Statistics; Artificial intelligence; Engineering; Beamforming; Telecommunications","score_opus":0.01367578010119688,"score_gpt":0.21330343678698563,"score_spread":0.19962765668578875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285502908","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":[0.0015675566,0.000021771637,0.9900619,0.000026993406,0.0003239064,0.0014160282,0.000027619148,0.00061422045,0.005940003],"genre_scores_gemma":[0.85925025,0.0000011477778,0.13733889,0.00020495684,0.00008461037,0.0015508052,0.000088231,0.00008379996,0.0013973019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907166,0.000042181055,0.00021757037,0.00024216707,0.00019396072,0.00023246584],"domain_scores_gemma":[0.99951535,0.00013454858,0.000030386283,0.00018650206,0.00005940955,0.000073803756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031142737,0.00015136634,0.00018806662,0.00039740626,0.00014576418,0.000023529337,0.000108721295,0.000026884485,0.00006264266],"category_scores_gemma":[0.0001116694,0.00015933509,0.00007370182,0.000755467,0.0000033241568,0.00009227711,0.000021186446,0.00011616497,0.000010146343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016009666,0.0000575486,0.00006269173,0.000047606012,0.000014616813,2.4622952e-7,0.000033602504,0.9902563,0.0003264345,0.00023899405,0.00790484,0.0008970289],"study_design_scores_gemma":[0.00199649,0.00014176947,0.000011481582,0.0000035696,0.000014832183,0.000003753308,0.000051699328,0.983553,0.0023061538,0.000022208898,0.011697945,0.000197094],"about_ca_topic_score_codex":0.000011520585,"about_ca_topic_score_gemma":0.000004883195,"teacher_disagreement_score":0.8576827,"about_ca_system_score_codex":0.00033343706,"about_ca_system_score_gemma":0.000016555008,"threshold_uncertainty_score":0.64974964},"labels":[],"label_agreement":null},{"id":"W4285794073","doi":"10.3390/s22145375","title":"Multi-Agent Team Learning in Virtualized Open Radio Access Networks (O-RAN)","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Ran; Radio access network; Orchestration; C-RAN; Computer science; Virtualization; Cloud computing; Software deployment; Computer network; Base station; Operating system","score_opus":0.022107348654444994,"score_gpt":0.2785335052848206,"score_spread":0.25642615663037566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285794073","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":[0.47337875,0.0013064924,0.50757706,0.00010134264,0.0029490716,0.0030446583,0.000018876957,0.001673092,0.009950673],"genre_scores_gemma":[0.9933924,0.00006359598,0.0040635807,0.000032345964,0.000053432886,0.00013764354,0.000038921055,0.00008034272,0.0021377443],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893576,0.00016703398,0.00028549123,0.00022361604,0.00011313574,0.0002749376],"domain_scores_gemma":[0.99961245,0.00006460508,0.000056967845,0.00019850285,0.00001483354,0.000052616237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028519935,0.00014439876,0.00023228767,0.00012597023,0.0001440246,0.00007582965,0.00040297004,0.00004619509,0.0001503204],"category_scores_gemma":[0.000057203324,0.00017266149,0.000033967026,0.00043842065,0.000010747219,0.0002307749,0.00029015937,0.0004006857,0.00001450969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016419277,0.000017242233,0.0011992763,0.000011058418,0.0000136933195,0.000014726153,0.0007643605,0.996268,0.00026514515,0.000017144266,0.00030701418,0.001105959],"study_design_scores_gemma":[0.001114705,0.0000170118,0.00045810168,0.000016821348,0.000004555575,0.000008978669,0.00076862006,0.9875595,0.00008921198,0.000003851833,0.00975103,0.00020760369],"about_ca_topic_score_codex":0.00012043977,"about_ca_topic_score_gemma":0.00007213017,"teacher_disagreement_score":0.52001363,"about_ca_system_score_codex":0.00028790667,"about_ca_system_score_gemma":0.00001217295,"threshold_uncertainty_score":0.7040931},"labels":[],"label_agreement":null},{"id":"W4286905599","doi":"10.48550/arxiv.2110.06060","title":"Downtime-Aware O-RAN VNF Deployment Strategy for Optimized Self-Healing\\n in the O-Cloud","year":2021,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Western University","funders":"","keywords":"Cloud computing; Computer science; Downtime; Software deployment; Radio access network; C-RAN; Quality of service; Vendor; Computer network; Distributed computing; Base station; Operating system","score_opus":0.05380011735606709,"score_gpt":0.2036126520952009,"score_spread":0.1498125347391338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286905599","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":[0.043033272,0.00062203786,0.9486446,0.00007060142,0.0016661116,0.0039532757,0.00009818893,0.00047357348,0.0014383625],"genre_scores_gemma":[0.98491293,0.00232593,0.011171095,0.000058298196,0.0003366219,0.000054000684,0.00035178402,0.0002051434,0.0005842137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9950253,0.00058424944,0.0010827511,0.0019564347,0.00018765035,0.0011636475],"domain_scores_gemma":[0.9961764,0.00064446905,0.00056123285,0.0018672178,0.00047929317,0.0002713543],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009609128,0.0011125196,0.0012615509,0.00047979076,0.00038825182,0.00030744792,0.0015396227,0.000956002,0.00016125916],"category_scores_gemma":[0.000091947644,0.0012419575,0.0006893639,0.0014367425,0.00010391854,0.00061170827,0.00048716587,0.0013591265,0.000037557103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020426174,0.00029870437,0.00023257903,0.0010887843,0.0004389407,0.00030059126,0.002209637,0.99100196,0.000048614318,0.0038506156,0.00010174354,0.00022354683],"study_design_scores_gemma":[0.004381377,0.00012395439,0.0000643513,0.0006715227,0.00054925476,0.000018767862,0.0076376307,0.98374426,0.00021088826,0.00083408586,0.0005195204,0.001244413],"about_ca_topic_score_codex":0.00036467542,"about_ca_topic_score_gemma":0.00035610897,"teacher_disagreement_score":0.94187963,"about_ca_system_score_codex":0.0014564344,"about_ca_system_score_gemma":0.00043395758,"threshold_uncertainty_score":0.99900305},"labels":[],"label_agreement":null},{"id":"W4287025441","doi":"10.48550/arxiv.2108.06316","title":"Downlink Resource Allocation in Multiuser Cell-free MIMO Networks with\\n User-centric Clustering","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Beamforming; Scheduling (production processes); MIMO; Channel state information; Mathematical optimization; Cluster analysis; Telecommunications link; Overhead (engineering); Proportionally fair; Benchmark (surveying); Spectral efficiency; Distributed computing; Round-robin scheduling; Computer network; Dynamic priority scheduling; Mathematics; Wireless; Telecommunications","score_opus":0.019853526205511337,"score_gpt":0.15509188804474888,"score_spread":0.13523836183923754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287025441","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":[0.12644482,0.0004749003,0.8705477,0.000010086273,0.00035238414,0.0005451241,0.000007984489,0.00039293256,0.0012240566],"genre_scores_gemma":[0.99217874,0.0005297898,0.0062629366,0.000017875862,0.00011170184,0.0000053942663,0.00018570156,0.000109504246,0.0005983875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982431,0.000099682984,0.00033572534,0.00079693476,0.00007712577,0.0004474218],"domain_scores_gemma":[0.99833405,0.00007381117,0.00017135966,0.0011694282,0.00012197784,0.00012934531],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014158343,0.00043110864,0.00042372124,0.0003824206,0.000066183835,0.00007741592,0.0006183151,0.0004925934,0.000021538259],"category_scores_gemma":[0.000025431369,0.00054779055,0.000101029225,0.0009079032,0.000037176666,0.00031562045,0.0006143179,0.0008266708,0.000009801661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038584152,0.000041983723,0.0030634634,0.00029584017,0.00004755541,0.0002262762,0.00022180696,0.9957429,0.000040905066,0.00006070545,0.000091163456,0.00012881278],"study_design_scores_gemma":[0.0012886529,0.0000139003905,0.00046651604,0.00047843246,0.00006539096,0.0000047266344,0.00037482218,0.99633723,0.00012578288,0.00002250461,0.0002561134,0.00056594855],"about_ca_topic_score_codex":0.00013976607,"about_ca_topic_score_gemma":0.0009366567,"teacher_disagreement_score":0.8657339,"about_ca_system_score_codex":0.0006851472,"about_ca_system_score_gemma":0.000054393196,"threshold_uncertainty_score":0.9996974},"labels":[],"label_agreement":null},{"id":"W4287028187","doi":"10.48550/arxiv.2108.02611","title":"Impact of Receiver Antenna Polarization and Resource Scheduler on the Downlink Performance of High Velocity Users in 5G Millimeter Wave Small Cell Technology","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Scheduling (production processes); Base station; Multipath propagation; Directivity; Polarization (electrochemistry); Cellular network; Antenna (radio); Electronic engineering; Telecommunications; Engineering","score_opus":0.028007879122619875,"score_gpt":0.1635700590586428,"score_spread":0.13556217993602293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287028187","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":[0.96441275,0.00009944961,0.03479414,0.000009709801,0.0000723374,0.00031580974,0.00002773034,0.00005659932,0.00021144553],"genre_scores_gemma":[0.99833995,0.00039099975,0.0011130057,0.0000042864294,0.0000096114445,0.0000010308144,0.00004119485,0.000030794534,0.00006913096],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904096,0.000075401054,0.000261025,0.00038042583,0.000044740387,0.00019747554],"domain_scores_gemma":[0.9989872,0.00007702648,0.00021612446,0.00053917826,0.00014404695,0.00003642292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013744067,0.00024291963,0.00036870202,0.0004545954,0.000034946446,0.000009772838,0.0002329123,0.00040807633,0.000013988932],"category_scores_gemma":[0.000039424653,0.00023069557,0.000086481596,0.0007093896,0.000120073935,0.000109607645,0.00017990763,0.00053868885,0.0000012880848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006038875,0.000036272984,0.04442644,0.00023919334,0.00007940159,0.000011201758,0.00019569042,0.95025885,0.004299597,0.00024857742,0.000002207232,0.0001421701],"study_design_scores_gemma":[0.0008300773,0.00015347685,0.07251117,0.00071093114,0.00008562364,0.000003410942,0.00041768647,0.90915424,0.015493115,0.00021254386,0.0000044404665,0.00042331408],"about_ca_topic_score_codex":0.00020238485,"about_ca_topic_score_gemma":0.000041910414,"teacher_disagreement_score":0.041104645,"about_ca_system_score_codex":0.00023861707,"about_ca_system_score_gemma":0.00005620781,"threshold_uncertainty_score":0.9407492},"labels":[],"label_agreement":null},{"id":"W4289389001","doi":"10.48550/arxiv.1810.06235","title":"Self-Organized Scheduling Request for Uplink 5G Networks: A D2D\\n Clustering Approach","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"King Abdullah University of Science and Technology","keywords":"Cluster analysis; Computer science; Scheduling (production processes); Telecommunications link; Distributed computing; Computer network; Cellular network; Stochastic geometry; Latency (audio); Random access; Mathematical optimization; Telecommunications; Artificial intelligence; Mathematics","score_opus":0.0397202891206591,"score_gpt":0.1789185551635945,"score_spread":0.1391982660429354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289389001","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":[0.006824919,0.0002475777,0.9854569,0.0000039425313,0.0013335984,0.0012789905,0.000017098253,0.0018272296,0.0030097594],"genre_scores_gemma":[0.82519025,0.00034465778,0.17303608,0.000012037743,0.0007197847,0.000013243657,0.00017482649,0.0001938421,0.00031530205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980219,0.00005252356,0.0003844052,0.00093645003,0.00005030066,0.0005543991],"domain_scores_gemma":[0.9983763,0.000087530054,0.00022958321,0.00087123853,0.00026427052,0.00017104334],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028254784,0.0005281473,0.0005784234,0.000250328,0.00018513767,0.0000910304,0.00062181754,0.0006733126,0.000012338458],"category_scores_gemma":[0.00003920275,0.0006954079,0.00020545512,0.00045662446,0.000054627235,0.00030879423,0.00038693435,0.00057813723,0.000026713344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037329428,0.000028597336,0.00011586998,0.0008645443,0.00020610375,0.000011505629,0.00015587108,0.9976811,0.000042996846,0.0006922835,0.00008824276,0.000075557495],"study_design_scores_gemma":[0.0008545335,0.00002668289,0.0000047897834,0.00023456423,0.00017877186,0.0000059144363,0.00009840215,0.9969053,0.000096168515,0.00070514344,0.00021172945,0.00067796255],"about_ca_topic_score_codex":0.000012058249,"about_ca_topic_score_gemma":0.000012557876,"teacher_disagreement_score":0.81836534,"about_ca_system_score_codex":0.0006329327,"about_ca_system_score_gemma":0.00006513441,"threshold_uncertainty_score":0.9995497},"labels":[],"label_agreement":null},{"id":"W4289792506","doi":"10.1109/tvt.2022.3196603","title":"Multi-User Downlink Beamforming Using Uplink Downlink Duality With 1-Bit Converters for Flat Fading Channels","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Science Foundation of Sri Lanka; Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Quantization (signal processing); Beamforming; Electronic engineering; Computer science; Base station; Duality (order theory); Fading; Converters; Algorithm; Decoding methods; Mathematics; Engineering; Electrical engineering; Computer network","score_opus":0.016738767208386383,"score_gpt":0.24016952285095786,"score_spread":0.22343075564257148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289792506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06594883,0.000100262165,0.93014765,0.00015389048,0.00097615155,0.0011344564,0.00008348037,0.0014471333,0.000008135545],"genre_scores_gemma":[0.8841634,0.000017852813,0.11465825,0.000060547685,0.000035372526,0.00078764925,0.000026876043,0.00012861677,0.00012148331],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982957,0.000033607077,0.00045219515,0.0004902782,0.00018032067,0.0005478819],"domain_scores_gemma":[0.9991467,0.00005993348,0.00011214414,0.0005082061,0.00010012361,0.00007286796],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020705377,0.00035434446,0.00042135318,0.00069600303,0.00068128266,0.000026142116,0.0002820991,0.00029542472,0.000035112032],"category_scores_gemma":[0.0000058656224,0.00038279893,0.00013812246,0.00082932535,0.00009815906,0.00025162738,0.0000063194398,0.00071649626,0.000007800047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037525624,0.000047506914,0.000012419884,0.00008364793,0.00014997023,0.0000121181165,0.00020856029,0.94938475,0.046888467,0.00008312387,0.000006019835,0.0030858943],"study_design_scores_gemma":[0.0015794103,0.00018022706,6.8563014e-7,0.00005808567,0.000102905644,0.00015800353,0.00053223304,0.87851465,0.11662972,0.000060501592,0.0017244958,0.00045907116],"about_ca_topic_score_codex":0.000018319075,"about_ca_topic_score_gemma":0.00001760257,"teacher_disagreement_score":0.81821454,"about_ca_system_score_codex":0.00057221967,"about_ca_system_score_gemma":0.000037165533,"threshold_uncertainty_score":0.9998624},"labels":[],"label_agreement":null},{"id":"W4289916991","doi":"10.48550/arxiv.1405.2492","title":"Unified and Distributed QoS-Driven Cell Association Algorithms in\\n Heterogeneous Networks","year":2014,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Quality of service; Distributed algorithm; Heterogeneous network; Telecommunications link; Algorithm; Base station; Fading; Maximization; Distributed computing; Association (psychology); Interference (communication); Term (time); Mathematical optimization; Computer network; Wireless; Mathematics; Wireless network; Telecommunications; Decoding methods","score_opus":0.0197898407215456,"score_gpt":0.15914837712088103,"score_spread":0.13935853639933543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289916991","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":[0.08938899,0.00027619372,0.9070329,0.000012517855,0.0014958674,0.00085878384,0.000120571654,0.0002593964,0.00055476674],"genre_scores_gemma":[0.9943348,0.0027884233,0.0011919072,0.000014636165,0.00031664717,0.0000039765096,0.00049428194,0.00012188915,0.000733427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965152,0.00037127925,0.0007148911,0.0014037979,0.00010933763,0.0008854545],"domain_scores_gemma":[0.9974577,0.0003252551,0.00076314295,0.00084998424,0.00027923973,0.00032469482],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00042352028,0.00079256267,0.0009599272,0.0003901122,0.00019241204,0.00012503102,0.0005328156,0.0013952422,0.000032727374],"category_scores_gemma":[0.000082020895,0.0011527429,0.0002110713,0.0008742984,0.00007699358,0.00035841909,0.0005969805,0.0012367358,0.000040115952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045680947,0.00006977445,0.012272703,0.000264767,0.00015581095,0.00013935352,0.00014350298,0.986177,0.000040914267,0.00044950988,0.000046012054,0.00019496633],"study_design_scores_gemma":[0.0017495154,0.00006111939,0.0007705458,0.0002630582,0.00022292967,0.000005666372,0.00010562381,0.99502146,0.000086217064,0.0004969894,0.00023150351,0.000985388],"about_ca_topic_score_codex":0.0001807937,"about_ca_topic_score_gemma":0.00018428623,"teacher_disagreement_score":0.905841,"about_ca_system_score_codex":0.0025105602,"about_ca_system_score_gemma":0.00006752723,"threshold_uncertainty_score":0.9999012},"labels":[],"label_agreement":null},{"id":"W4290055443","doi":"","title":"On user mobility in dynamic cloud radio access networks","year":2018,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cloud computing; Computer network; Radio access network; Operating system; Base station; Mobile station","score_opus":0.006869767433392444,"score_gpt":0.22512331737191044,"score_spread":0.218253549938518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290055443","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00051775126,0.0008420385,0.62572134,0.00009989698,0.00060562027,0.0005633697,0.000024922663,0.0007216969,0.37090337],"genre_scores_gemma":[0.2157399,0.0024170422,0.03280709,0.000070041984,0.00020893171,0.0003039213,0.0010878567,0.0014983186,0.7458669],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972085,0.0012991027,0.00041841637,0.0005290126,0.00019413859,0.00035083137],"domain_scores_gemma":[0.99724627,0.00047657185,0.00021752068,0.0016852735,0.00027021414,0.00010413425],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014645156,0.0003548311,0.00038439123,0.0003106279,0.00007010538,0.00014180351,0.00088973774,0.0004039171,0.00074347213],"category_scores_gemma":[0.0003397953,0.00039876893,0.000085695785,0.0005435727,0.00012320835,0.0001372196,0.00018102585,0.0003681325,0.00013355845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051680097,0.001391331,0.002875495,0.001324998,0.00036002617,0.000024137078,0.0033188711,0.4270862,0.00030068538,0.036933996,0.49022093,0.036111645],"study_design_scores_gemma":[0.0010938101,6.876398e-7,0.0008017859,0.0051962407,0.00003111444,0.0000061502765,0.000027566522,0.8204382,0.0008703803,0.00063900417,0.16982876,0.0010663187],"about_ca_topic_score_codex":0.00038610867,"about_ca_topic_score_gemma":0.007519814,"teacher_disagreement_score":0.5929142,"about_ca_system_score_codex":0.0002998257,"about_ca_system_score_gemma":0.000038174065,"threshold_uncertainty_score":0.9998464},"labels":[],"label_agreement":null},{"id":"W4290997040","doi":"10.1109/icc45855.2022.9838763","title":"Team Learning-Based Resource Allocation for Open Radio Access Network (O-RAN)","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Canada Research Chairs","keywords":"Computer science; Radio access network; Computer network; UMTS Terrestrial Radio Access Network; Flexibility (engineering); Throughput; Ran; C-RAN; Radio resource management; Access network discovery and selection function; Distributed computing; Wireless network; Telecommunications; Wireless; Base station","score_opus":0.0958010155274814,"score_gpt":0.35811049634975173,"score_spread":0.26230948082227035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290997040","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":[0.0005485037,0.00038913364,0.8481403,0.008728116,0.0018596789,0.002977691,0.00043181234,0.0008589903,0.1360658],"genre_scores_gemma":[0.9832969,0.00010909883,0.0075817406,0.00042303992,0.00016398437,0.0032769544,0.002676563,0.00008212602,0.0023896135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841833,0.0002612198,0.0004590008,0.00030151044,0.00031540295,0.0002445402],"domain_scores_gemma":[0.99786794,0.0005259185,0.00022169582,0.0010898665,0.00022540323,0.000069166024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057586865,0.00020000282,0.00021284624,0.00018987518,0.000836415,0.00030563373,0.0041377116,0.000059354785,0.00050239085],"category_scores_gemma":[0.00012496424,0.00025382228,0.000079123056,0.00039143945,0.00006006018,0.00041976135,0.0006072842,0.00057862967,0.000023142306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056577588,0.00008429512,0.00010830871,0.00001029232,0.000059690137,2.906836e-7,0.0001685174,0.9496935,0.00025452315,0.02423623,0.02334407,0.0019836866],"study_design_scores_gemma":[0.0005976637,0.0000710034,0.000043787106,0.00004192903,0.00001369497,0.0000028464913,0.0003068478,0.75105345,0.00012735934,0.0010756986,0.2464451,0.00022059062],"about_ca_topic_score_codex":0.000043782027,"about_ca_topic_score_gemma":0.00013627332,"teacher_disagreement_score":0.9827484,"about_ca_system_score_codex":0.0005195916,"about_ca_system_score_gemma":0.00012792395,"threshold_uncertainty_score":0.9999914},"labels":[],"label_agreement":null},{"id":"W4290998100","doi":"10.1109/mcomstd.0001.2100092","title":"Can 5G Fixed Broadband Bridge the Rural Digital Divide?","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Standards Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Digital divide; Telecommunications; Bridge (graph theory); Context (archaeology); Broadband; Rural area; Mobile broadband; Computer science; The Internet; Internet access; Broadband networks; Business; Wireless; Geography; World Wide Web; Political science","score_opus":0.016889752357183114,"score_gpt":0.260546455146093,"score_spread":0.24365670278890986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290998100","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":[0.05719518,0.014607785,0.7119259,0.016674262,0.004013383,0.00416825,0.026251053,0.0043160403,0.16084813],"genre_scores_gemma":[0.99747646,0.00025563833,0.000519779,0.000062221756,0.000061508115,0.00026517367,0.0003417935,0.000061897015,0.0009555136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880654,0.000108687884,0.0003460763,0.00012430355,0.00036009445,0.00025429128],"domain_scores_gemma":[0.9976345,0.0001712336,0.000077769284,0.0018903187,0.00016465908,0.00006152004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032960952,0.00017610962,0.00018490964,0.00008722952,0.00080293935,0.0001325243,0.0011165477,0.000029372972,0.000102236496],"category_scores_gemma":[0.00008120408,0.00016388393,0.00007144274,0.0004892475,0.00013603945,0.00024821455,0.00028314578,0.00040335252,0.000020044996],"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":[0.00004192523,0.00012788568,0.0011869798,0.000055726305,0.00016007911,0.000005252268,0.0028977857,0.81743616,0.00309851,0.0020027943,0.14626922,0.026717674],"study_design_scores_gemma":[0.0014015953,0.00010732942,0.0019239518,0.000051929444,0.000061080354,0.00011157638,0.00064981123,0.08029307,0.00034307988,0.0013372529,0.91302395,0.0006953711],"about_ca_topic_score_codex":0.000022215227,"about_ca_topic_score_gemma":0.00018472446,"teacher_disagreement_score":0.9402813,"about_ca_system_score_codex":0.00054927333,"about_ca_system_score_gemma":0.00008111316,"threshold_uncertainty_score":0.66829926},"labels":[],"label_agreement":null},{"id":"W4291910357","doi":"10.1109/lcomm.2022.3198908","title":"Self-Supervised Learning for CSI Compression in FDD Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Computer science; Channel state information; MIMO; Data compression; Base station; Bandwidth (computing); Overhead (engineering); Algorithm; Computer engineering; Channel (broadcasting); Real-time computing; Telecommunications; Wireless","score_opus":0.020238710841921505,"score_gpt":0.2466741036157282,"score_spread":0.2264353927738067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291910357","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":[0.031533547,0.0027569395,0.9574008,0.0018168472,0.0013103898,0.0023374155,0.000056145196,0.0012616846,0.001526217],"genre_scores_gemma":[0.9637942,0.00010793242,0.033969328,0.0001056358,0.000040160376,0.0016798215,0.00019219334,0.00006563382,0.000045149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989103,0.0002584024,0.00035018226,0.00015676457,0.00010245593,0.00022191335],"domain_scores_gemma":[0.9986722,0.00028350265,0.00008541348,0.00088097225,0.000040671694,0.0000372652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022699982,0.00013743156,0.00018970437,0.00020659089,0.00041767786,0.00003664719,0.00069372286,0.000039171817,0.0000063413927],"category_scores_gemma":[0.000021396287,0.00017280366,0.00004961958,0.00033757644,0.000024634985,0.00017671462,0.0001389018,0.0004021366,0.0000064441856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038480875,0.000027389606,0.00033428866,0.00007962718,0.000019714176,5.6705164e-7,0.0009725865,0.9754644,0.021332424,0.00023150936,0.001216005,0.00031765475],"study_design_scores_gemma":[0.00057533744,0.0000149623,0.000022721306,0.000047170386,0.000010699269,0.0000030496662,0.00071241235,0.96339196,0.00018094781,0.000011890083,0.034841362,0.0001874907],"about_ca_topic_score_codex":0.00003443339,"about_ca_topic_score_gemma":0.000009343192,"teacher_disagreement_score":0.9322606,"about_ca_system_score_codex":0.0004139986,"about_ca_system_score_gemma":0.0000129520095,"threshold_uncertainty_score":0.7046729},"labels":[],"label_agreement":null},{"id":"W4293011329","doi":"10.21203/rs.3.rs-1889362/v1","title":"Uplink SINR and Rate Analysis in Massive MIMO Systems with Two-Layer Linear Receiver","year":2022,"lang":"en","type":"preprint","venue":"Research Square","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":"Université de Sherbrooke","funders":"","keywords":"MIMO; Telecommunications link; Context (archaeology); Algorithm; Signal-to-interference-plus-noise ratio; Minimum mean square error; Mathematics; Interference (communication); Computer science; Signal-to-noise ratio (imaging); Topology (electrical circuits); Statistics; Control theory (sociology); Telecommunications; Channel (broadcasting); Power (physics); Combinatorics; Physics","score_opus":0.03741961034933218,"score_gpt":0.34525435507147845,"score_spread":0.3078347447221463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293011329","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":[0.46400926,0.018998664,0.49249056,0.000391109,0.0014352313,0.011390218,0.00091688475,0.0013557969,0.009012257],"genre_scores_gemma":[0.9936411,0.0010206669,0.0026668976,0.0000030593415,0.00016090157,0.0009211562,0.00046049873,0.00013743686,0.0009883251],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967735,0.00067573186,0.0004927809,0.00076965714,0.000645407,0.0006429138],"domain_scores_gemma":[0.9981296,0.0003311264,0.00009051151,0.0008479333,0.00042400337,0.00017684816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015398702,0.0003598615,0.0007259549,0.0017181217,0.00014890559,0.00015866487,0.00033836847,0.00025467985,0.00013804084],"category_scores_gemma":[0.00013768394,0.00034743253,0.000093384486,0.0022427859,0.00008102963,0.00016109999,0.00056059845,0.002000223,0.000019134863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051210605,0.000020282097,0.0074578146,0.0013428071,0.00042648177,0.00013809194,0.0005588893,0.9895747,0.0001236231,0.00007144891,0.0001088152,0.0001258367],"study_design_scores_gemma":[0.0005959246,0.00006846384,0.001996091,0.0005882961,0.00009191113,0.00000411114,0.001256612,0.99446946,0.00006436651,0.000041660696,0.00040682097,0.00041629723],"about_ca_topic_score_codex":0.0012224689,"about_ca_topic_score_gemma":0.00053412904,"teacher_disagreement_score":0.5296318,"about_ca_system_score_codex":0.00088119914,"about_ca_system_score_gemma":0.00013412154,"threshold_uncertainty_score":0.9998978},"labels":[],"label_agreement":null},{"id":"W4293057899","doi":"10.1109/vtc2022-spring54318.2022.9861016","title":"Uplink Power Allocation Scheme for User-Centric Cell-free Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Telecommunications link; Computer science; Power control; Power (physics); Transmission (telecommunications); Resource allocation; Fading; Scheme (mathematics); Mathematical optimization; Spectral efficiency; MIMO; Transmitter power output; Power budget; Computer network; Mathematics; Telecommunications; Transmitter; Channel (broadcasting)","score_opus":0.00837195873537806,"score_gpt":0.21044344059745612,"score_spread":0.20207148186207807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293057899","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":[0.14914623,0.0047107073,0.83298814,0.00065674697,0.0049771992,0.003524231,0.00018339315,0.0031084474,0.000704922],"genre_scores_gemma":[0.9821626,0.00019911412,0.01243834,0.000058479665,0.00013135384,0.0037429498,0.00009915309,0.00023818249,0.00092983723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996352,0.000094826086,0.0009554073,0.0010164795,0.00054950104,0.0010317456],"domain_scores_gemma":[0.99723256,0.00009302597,0.0003545353,0.0017363778,0.00042633797,0.00015714491],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005171348,0.00064369745,0.00076387386,0.0010734682,0.00062556774,0.00010777361,0.0015151753,0.00059995987,0.00018006805],"category_scores_gemma":[0.00016071615,0.0007857533,0.00021116104,0.0016503496,0.00013447367,0.00029968016,0.0005261197,0.0012248617,0.00007787305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052080697,0.0002123919,0.001437809,0.00054472894,0.00034000847,0.000085725485,0.00024050951,0.84245026,0.10063085,0.048545558,0.004895603,0.0005645012],"study_design_scores_gemma":[0.0036631061,0.00040718494,0.00011382402,0.00011689349,0.00017065096,0.000082925755,0.0023628995,0.9195416,0.019941233,0.0011828324,0.050816163,0.0016006628],"about_ca_topic_score_codex":0.000054765904,"about_ca_topic_score_gemma":0.00002036241,"teacher_disagreement_score":0.83301634,"about_ca_system_score_codex":0.00090421765,"about_ca_system_score_gemma":0.00019577162,"threshold_uncertainty_score":0.9994593},"labels":[],"label_agreement":null},{"id":"W4293094632","doi":"10.1109/vtc2022-spring54318.2022.9860553","title":"Intelligent Feedback Overhead Reduction (iFOR) in Wi-Fi 7 and Beyond","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"InterDigital (Canada)","funders":"","keywords":"Reduction (mathematics); Overhead (engineering); Computer science; Computer network; Embedded system; Operating system","score_opus":0.009622139152983239,"score_gpt":0.21820769440780952,"score_spread":0.20858555525482628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293094632","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":[0.9128235,0.003982815,0.07523329,0.0006781192,0.002761089,0.0013397345,0.000051932384,0.0016903799,0.0014391225],"genre_scores_gemma":[0.99514973,0.00069586106,0.0030203827,0.00004379104,0.00007174072,0.00060724653,0.000027046615,0.00010706535,0.00027711355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997388,0.00008644998,0.0007040866,0.00077518827,0.00036856616,0.0006777332],"domain_scores_gemma":[0.998865,0.00003092637,0.0001667045,0.00073796307,0.00009471125,0.00010470083],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042774656,0.0004472646,0.0005582011,0.0010366302,0.00030354012,0.000053731754,0.0004987953,0.00038087182,0.00024114983],"category_scores_gemma":[0.000053697902,0.0005563103,0.00008378007,0.0014427247,0.00020311605,0.00027108792,0.00038119196,0.0014330352,0.00004235673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097647935,0.00030293214,0.008156179,0.00039911878,0.0003171401,0.00027657655,0.0017547499,0.7144371,0.1999142,0.04233658,0.0011729295,0.030834805],"study_design_scores_gemma":[0.005340007,0.0011009913,0.0031340977,0.0003905352,0.00024303462,0.0011476065,0.016840005,0.7726816,0.11505668,0.023282405,0.05652114,0.0042618983],"about_ca_topic_score_codex":0.00008328925,"about_ca_topic_score_gemma":0.000100588455,"teacher_disagreement_score":0.084857516,"about_ca_system_score_codex":0.00067320437,"about_ca_system_score_gemma":0.0000847646,"threshold_uncertainty_score":0.99968886},"labels":[],"label_agreement":null},{"id":"W4293094944","doi":"10.1109/vtc2022-spring54318.2022.9860397","title":"Suppressing Pilot Contamination for Massive Access in User-centric Cell-free Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Spectral efficiency; MIMO; Heuristic; Interference (communication); Random access; Mathematical optimization; Computational complexity theory; Distributed computing; Algorithm; Computer network; Mathematics; Channel (broadcasting); Artificial intelligence","score_opus":0.015309468729290381,"score_gpt":0.24007666610401127,"score_spread":0.2247671973747209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293094944","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":[0.36758283,0.0033679362,0.6162325,0.00054548157,0.004671061,0.004677118,0.00030590946,0.0019403487,0.0006768324],"genre_scores_gemma":[0.99258125,0.00016487,0.002367915,0.00003717223,0.000110735535,0.0040921457,0.000091944596,0.00018784353,0.000366133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961451,0.000189613,0.0010435133,0.0010054045,0.0005621163,0.0010542497],"domain_scores_gemma":[0.9976351,0.00018695266,0.0004930398,0.0012182626,0.00034340288,0.00012320203],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00054967427,0.0006239078,0.0008670815,0.0017438174,0.0005191141,0.00021144863,0.0017913663,0.00044172572,0.00009632227],"category_scores_gemma":[0.00021527299,0.00076918094,0.00013840341,0.0019583686,0.00014177043,0.0006285512,0.00072782417,0.0012780286,0.000016314623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076785545,0.0002190933,0.0053280853,0.0006368721,0.00013779926,0.00018549159,0.00023970313,0.93530834,0.04448615,0.01140753,0.001041335,0.0009327872],"study_design_scores_gemma":[0.0065913983,0.0005424157,0.00095855526,0.00028559507,0.00016366542,0.000051024217,0.0032592532,0.9436245,0.03234532,0.0016057612,0.009003647,0.0015688796],"about_ca_topic_score_codex":0.00013457153,"about_ca_topic_score_gemma":0.00013398498,"teacher_disagreement_score":0.6249984,"about_ca_system_score_codex":0.0013471151,"about_ca_system_score_gemma":0.00019407248,"threshold_uncertainty_score":0.9994759},"labels":[],"label_agreement":null},{"id":"W4293218331","doi":"10.1109/access.2022.3201642","title":"Low-Complexity Detectors for Uplink Massive MIMO Systems Leveraging Truncated Polynomial Expansion","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Detector; MIMO; Telecommunications link; Minimum mean square error; Algorithm; Normalization (sociology); Computational complexity theory; Computer science; Control theory (sociology); Mathematics; Telecommunications; Channel (broadcasting); Statistics; Estimator","score_opus":0.038919412626728274,"score_gpt":0.27204825356611667,"score_spread":0.2331288409393884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293218331","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":[0.34076884,0.00017263979,0.65238196,0.000018564413,0.0048297495,0.0010274547,0.00007550357,0.00059041375,0.00013487585],"genre_scores_gemma":[0.9976588,0.000005299738,0.00096961024,0.00002411077,0.00035406754,0.0006998509,0.00008553062,0.000101608566,0.00010112888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998654,0.00005290843,0.0004081233,0.0003251929,0.00018194316,0.00037784455],"domain_scores_gemma":[0.9992988,0.000093150345,0.00012789186,0.0003178763,0.00008125373,0.00008099903],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017030718,0.00023021668,0.00029803932,0.0001870852,0.00035576994,0.00011701946,0.000436491,0.00006942061,0.000039826096],"category_scores_gemma":[0.000025080228,0.00026403824,0.000081094055,0.00035279721,0.000022141963,0.00047347377,0.00008584776,0.000205207,0.0000066657053],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040061146,0.0000151132435,0.00011612279,0.00020848628,0.000026175665,0.000004613967,0.00023582668,0.976302,0.020609638,0.000016338587,0.0016528341,0.0007727671],"study_design_scores_gemma":[0.0011519603,0.000044995388,0.00012951576,0.000054857333,0.000026176549,0.000012432088,0.00029732808,0.95357335,0.04314871,0.00007154976,0.0010299471,0.00045917832],"about_ca_topic_score_codex":0.00012553668,"about_ca_topic_score_gemma":0.000012311279,"teacher_disagreement_score":0.6568899,"about_ca_system_score_codex":0.00048681977,"about_ca_system_score_gemma":0.00003593935,"threshold_uncertainty_score":0.99998116},"labels":[],"label_agreement":null},{"id":"W4294679913","doi":"10.4108/eetmca.v7i2.2417","title":"Energy-efficient and high-spectrum-efficiency wireless transmission","year":2022,"lang":"en","type":"article","venue":"ICST Transactions on Mobile Communications and Applications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research","keywords":"Computer science; Computer network; Wireless; Wireless network; Fixed wireless; Wi-Fi array; Transmission (telecommunications); Wireless WAN; Efficient energy use; Key distribution in wireless sensor networks; Wireless sensor network; Radio resource management; Municipal wireless network; Telecommunications; Engineering; Electrical engineering","score_opus":0.006871585708189308,"score_gpt":0.2146134871249568,"score_spread":0.2077419014167675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294679913","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":[0.0021151586,0.0025198837,0.99308425,0.00025036087,0.000047076835,0.0006735881,0.00015074223,0.00036021436,0.00079874386],"genre_scores_gemma":[0.9848318,0.004433303,0.004775478,0.000034223256,0.000013426055,0.0056462926,0.000081050166,0.00004529034,0.00013912912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904364,0.0000679654,0.00030311244,0.00026804648,0.00013176717,0.00018549005],"domain_scores_gemma":[0.998744,0.0001312834,0.000048712,0.00093353045,0.000033695404,0.000108756074],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000111220084,0.00017389306,0.00016050083,0.00020166044,0.001541565,0.000041654635,0.000344955,0.000051491053,0.000072690265],"category_scores_gemma":[3.723799e-7,0.00020045659,0.000041898646,0.00059964095,0.00013606242,0.00007489241,0.000027049095,0.00031010513,0.0000039136917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003865821,0.00027250752,0.0000022738436,0.000019442501,0.000016553078,1.4067693e-7,0.0002824351,0.7705774,0.0011933786,0.01632096,0.000014919772,0.21129614],"study_design_scores_gemma":[0.0004020737,0.00009336786,0.000015169763,0.00001563473,0.00003960995,0.000026200822,0.0007647233,0.8971328,0.0007699073,0.0007056953,0.099734016,0.0003008128],"about_ca_topic_score_codex":0.000039708273,"about_ca_topic_score_gemma":0.000018519595,"teacher_disagreement_score":0.9883087,"about_ca_system_score_codex":0.00011380917,"about_ca_system_score_gemma":0.00002054934,"threshold_uncertainty_score":0.9997583},"labels":[],"label_agreement":null},{"id":"W4294811270","doi":"10.1109/tcomm.2022.3204846","title":"Delay-Aware and Energy-Efficient Carrier Aggregation in 5G Using Double Deep Q-Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; Ericsson (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Overhead (engineering); Quality of service; Energy consumption; User equipment; Scheme (mathematics); Distributed computing; Computer network; Mathematical optimization; Real-time computing; Base station; Engineering; Mathematics","score_opus":0.020509438444781973,"score_gpt":0.2438146212081365,"score_spread":0.2233051827633545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294811270","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":[0.0043170457,0.0012432821,0.99300086,0.00005688481,0.00038700856,0.00015997606,0.000036776666,0.0001909606,0.00060721516],"genre_scores_gemma":[0.9948987,0.00054702273,0.004025704,0.000026008076,0.000010063615,0.00029786126,0.000035441888,0.000044914992,0.000114278984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914086,0.00011281952,0.00029068973,0.0001654608,0.00011275828,0.00017744179],"domain_scores_gemma":[0.99897337,0.00009767532,0.000047027464,0.0007757711,0.00005233152,0.00005383793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001117027,0.00013281348,0.00013291951,0.00022424619,0.00059880706,0.000025602094,0.00022918967,0.00006038814,0.000036660196],"category_scores_gemma":[0.0000012074037,0.00017686542,0.000039035174,0.0006496775,0.000044917244,0.00012179795,0.000007817465,0.000368831,0.0000013378541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000092405535,0.00006754002,0.000008459976,0.0000065637346,0.000016583039,0.0000011984247,0.00038332408,0.99150527,0.00016446375,0.0002471608,0.000007390095,0.0075827893],"study_design_scores_gemma":[0.00047248846,0.000012278248,0.0000084675185,0.000021461574,0.000022561158,0.000031493902,0.00041366302,0.9971485,0.0005453992,0.000043026997,0.0011168651,0.00016376255],"about_ca_topic_score_codex":0.00017979431,"about_ca_topic_score_gemma":0.0011673035,"teacher_disagreement_score":0.99058163,"about_ca_system_score_codex":0.00041043048,"about_ca_system_score_gemma":0.000029550893,"threshold_uncertainty_score":0.7212363},"labels":[],"label_agreement":null},{"id":"W4295367071","doi":"10.4108/eetsis.v9i6.2419","title":"An Overview on Active Transmission Techniques for Wireless Scalable Networks","year":2022,"lang":"en","type":"article","venue":"ICST Transactions on Scalable Information Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research","keywords":"Computer science; Computer network; Wireless; Wireless network; Wireless WAN; Latency (audio); Municipal wireless network; Scalability; Data transmission; Transmission (telecommunications); Key distribution in wireless sensor networks; Wi-Fi array; Wireless sensor network; Telecommunications","score_opus":0.016588597009115816,"score_gpt":0.2539989833781356,"score_spread":0.2374103863690198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295367071","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":[0.000293327,0.00017658102,0.99251354,0.000032447664,0.0010148198,0.002115604,0.00037521677,0.0012191008,0.0022593734],"genre_scores_gemma":[0.99208707,0.0002892599,0.0031217567,0.00013427643,0.000099400546,0.0035432943,0.0004113491,0.00009436866,0.00021920305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804324,0.00011385579,0.00080601365,0.00022995418,0.00041834652,0.00038858378],"domain_scores_gemma":[0.9989094,0.00011894762,0.00017636492,0.00045645065,0.00018683683,0.00015198808],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047265147,0.0003134422,0.000368718,0.00045779816,0.00073560805,0.00017020658,0.00027020677,0.00017557779,0.0000966712],"category_scores_gemma":[0.0000031660413,0.00033781838,0.0001275104,0.00071540347,0.00002078324,0.002142834,0.000003075766,0.0004188146,0.000028767052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011179801,0.00006904566,6.5675437e-7,0.00024712854,0.000033227992,2.762933e-7,0.00039656885,0.9041181,0.00018793075,0.00091044925,0.00035019816,0.09357462],"study_design_scores_gemma":[0.00049767876,0.00034963022,0.0000023488383,0.0001777657,0.00002375782,0.000016315571,0.0011833655,0.9248142,0.004843497,0.000029203267,0.06770187,0.0003603306],"about_ca_topic_score_codex":0.000038132497,"about_ca_topic_score_gemma":0.000003298412,"teacher_disagreement_score":0.99179375,"about_ca_system_score_codex":0.0006693449,"about_ca_system_score_gemma":0.000041986445,"threshold_uncertainty_score":0.9999074},"labels":[],"label_agreement":null},{"id":"W4295934701","doi":"10.1109/ojvt.2022.3207065","title":"Device and Network Coordination for Opportunistic Utilization of Radio Resources in 3D Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Quality of service; Computer network; Wireless network; Scheduling (production processes); Aloha; Regret; Radio resource management; Heterogeneous network; Network performance; Distributed computing; Wireless; Throughput; Telecommunications; Engineering","score_opus":0.022346066419422567,"score_gpt":0.2638990391799769,"score_spread":0.24155297276055435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295934701","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":[0.091867045,0.0026723978,0.90422094,0.00015534383,0.00039462966,0.0005823228,0.000005399154,0.000032174514,0.000069782225],"genre_scores_gemma":[0.98612386,0.00016475009,0.013553209,0.00001189378,0.000047172965,0.000044278488,0.00000734516,0.00002609623,0.000021387583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999106,0.00005702793,0.0005086478,0.00009526176,0.000086779226,0.00014628995],"domain_scores_gemma":[0.9993303,0.00006465097,0.00033756657,0.00011622162,0.00012542322,0.000025832443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006553279,0.00008865102,0.0003086248,0.00029954157,0.00007565214,0.000015669571,0.00029245528,0.000097908036,0.0000067749656],"category_scores_gemma":[0.000056082605,0.000097706215,0.000024924773,0.00055881316,0.000036302652,0.0001645048,0.0000661236,0.00022363332,6.9245694e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003731373,0.000016460262,0.0009560358,0.000037116562,0.000031073938,0.00001384196,0.000056690955,0.98821205,0.000985092,0.0006557695,0.00030448733,0.008694069],"study_design_scores_gemma":[0.0011687268,0.00025771413,0.00011766085,0.00011017723,0.00004220572,0.00023544687,0.00033246138,0.98968345,0.0004024512,0.0010288003,0.0064939093,0.00012698372],"about_ca_topic_score_codex":0.0000033881909,"about_ca_topic_score_gemma":0.0000115213725,"teacher_disagreement_score":0.89425683,"about_ca_system_score_codex":0.000102226724,"about_ca_system_score_gemma":0.000023495524,"threshold_uncertainty_score":0.3984344},"labels":[],"label_agreement":null},{"id":"W4296211802","doi":"10.1109/lwc.2022.3207358","title":"Resilient Topology Design for Wireless Backhaul: A Deep Reinforcement Learning Approach","year":2022,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Reinforcement learning; Computer science; Wireless network; Wireless; Mathematical optimization; Integer programming; Network topology; Computer network; Distributed computing; Topology (electrical circuits); Artificial intelligence; Algorithm; Mathematics; Telecommunications","score_opus":0.028243505735606588,"score_gpt":0.252265610973021,"score_spread":0.22402210523741445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296211802","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":[0.007843894,0.0002958451,0.988478,0.00070397765,0.0003423055,0.0011881094,0.0000056095187,0.00047135664,0.0006708935],"genre_scores_gemma":[0.9273073,0.00013232866,0.06852568,0.00031788327,0.0000483385,0.0031835486,0.00023426954,0.000096654345,0.00015397511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983079,0.00035255757,0.00048673392,0.0002659234,0.00018299212,0.0004039038],"domain_scores_gemma":[0.99807036,0.00032028524,0.00014691605,0.0013334837,0.00006144426,0.000067499335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043392062,0.00022559095,0.00027849711,0.00020786955,0.0008915469,0.000035469933,0.0010558462,0.000062270046,0.000019132473],"category_scores_gemma":[0.00001702025,0.00028426797,0.000091440364,0.00037482937,0.0001156542,0.00015931654,0.00021920426,0.0004947868,0.000008868222],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021884007,0.0000394341,0.000021936183,0.000052322666,0.000057039648,6.5995624e-7,0.0012048678,0.9780889,0.015836788,0.0013507252,0.0017336879,0.0015917169],"study_design_scores_gemma":[0.0005561455,0.00005349656,0.00000425715,0.000012908669,0.000024907042,0.000015793714,0.0009002412,0.99064565,0.0012569006,0.000023540508,0.006205512,0.0003006444],"about_ca_topic_score_codex":0.000022637016,"about_ca_topic_score_gemma":0.000008285661,"teacher_disagreement_score":0.91995233,"about_ca_system_score_codex":0.0005177264,"about_ca_system_score_gemma":0.000025274756,"threshold_uncertainty_score":0.99996096},"labels":[],"label_agreement":null},{"id":"W4296912499","doi":"10.1109/ap-s/usnc-ursi47032.2022.9886616","title":"Utility-Based Beam Selection Algorithms for Sub-6 GHz Backhauls","year":2022,"lang":"en","type":"article","venue":"2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Backhaul (telecommunications); Computer science; Small cell; Path loss; Path (computing); Beam (structure); Wireless; Computer network; Base station; Cellular network; Mobile telephony; Telecommunications; Algorithm; Mobile radio; Optics; Physics","score_opus":0.015205511944057766,"score_gpt":0.25579425103193976,"score_spread":0.240588739087882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296912499","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":[0.59936064,0.00050890504,0.37954956,0.0037330494,0.009794784,0.002540203,0.0002727041,0.00076009525,0.0034800742],"genre_scores_gemma":[0.9951161,0.000100694204,0.0034067694,0.00025553963,0.0002924584,0.00023366445,0.000106241816,0.000048319536,0.0004402223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976452,0.00007342185,0.00046582258,0.00067362044,0.00070947263,0.00043247064],"domain_scores_gemma":[0.9990113,0.00013853394,0.00019998135,0.00017572443,0.00030278182,0.0001717143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012789665,0.00027745854,0.00024464456,0.00040438393,0.0010644937,0.00025184592,0.0003337457,0.000068594476,0.000047762227],"category_scores_gemma":[0.000110262285,0.0002950583,0.000077215234,0.000707585,0.00021573846,0.000521559,0.000050857136,0.00028582866,0.0000029681178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002594701,0.00017759093,0.0025783004,0.00013853644,0.000061444174,0.000005427601,0.0010591769,0.52159256,0.45936352,0.0010128298,0.0014838481,0.0122673195],"study_design_scores_gemma":[0.00089203217,0.00029045955,0.0005784604,0.00008082802,0.000021981956,0.00005525552,0.00036444946,0.9303255,0.0628356,0.00010428421,0.004095945,0.0003552016],"about_ca_topic_score_codex":0.000024689996,"about_ca_topic_score_gemma":0.000010179802,"teacher_disagreement_score":0.40873295,"about_ca_system_score_codex":0.00038344268,"about_ca_system_score_gemma":0.000088458226,"threshold_uncertainty_score":0.9999502},"labels":[],"label_agreement":null},{"id":"W4296927957","doi":"10.48550/arxiv.1202.5528","title":"Hierarchical Resource Allocation in Femtocell Networks using Graph\\n Algorithms","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Femtocell; Computer science; Resource allocation; Computer network; Distributed computing; Interference (communication); Graph; Femto-; Channel (broadcasting); Load balancing (electrical power); Theoretical computer science; Mathematics","score_opus":0.04931455876757088,"score_gpt":0.18632871805056334,"score_spread":0.13701415928299246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296927957","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":[0.07294164,0.00041324782,0.923858,0.0000042116694,0.0005535596,0.00045357173,0.000008272963,0.00034378396,0.0014237557],"genre_scores_gemma":[0.99476016,0.00023245552,0.004377556,0.0000106603575,0.000256728,0.0000023177815,0.00010676922,0.00008635102,0.0001669892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984732,0.00012077172,0.0003111201,0.0005528885,0.00005992763,0.00048204686],"domain_scores_gemma":[0.9989935,0.00006512672,0.00013109433,0.00059268647,0.000056346533,0.00016121287],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023086557,0.00036049852,0.00036365553,0.00042249303,0.00006770755,0.000031631207,0.00037717205,0.000562724,0.00001644659],"category_scores_gemma":[0.000013799512,0.00048827205,0.000119340664,0.00067641336,0.000067125475,0.0002558766,0.00028281394,0.000937195,0.0000134207685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014952587,0.000028540615,0.001627605,0.00010411264,0.000036179998,0.000033403037,0.00013095155,0.9963271,0.00004807112,0.0012976034,0.00003214171,0.0003193096],"study_design_scores_gemma":[0.00034511022,0.0000061419933,0.0002681122,0.00017713428,0.00005368746,0.0000043190403,0.000072516435,0.9973257,0.000039133054,0.0011094585,0.00014147986,0.00045717155],"about_ca_topic_score_codex":0.00009915022,"about_ca_topic_score_gemma":0.000049180355,"teacher_disagreement_score":0.92181855,"about_ca_system_score_codex":0.00056547555,"about_ca_system_score_gemma":0.000034577053,"threshold_uncertainty_score":0.9997569},"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":"W4297899891","doi":"10.48550/arxiv.2209.10332","title":"Deep Learning for Multi-User MIMO Systems: Joint Design of Pilot, Limited Feedback, and Precoding","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Precoding; MIMO; Computer science; Telecommunications link; Channel state information; Channel (broadcasting); Base station; Scalability; Artificial neural network; Computer engineering; Control theory (sociology); Artificial intelligence; Computer network; Telecommunications; Wireless","score_opus":0.10875617560129829,"score_gpt":0.1979971486995437,"score_spread":0.08924097309824543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297899891","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":[0.024168523,0.0006565959,0.9725754,0.0000012957449,0.00057376764,0.001437189,0.000021408743,0.00038414507,0.00018166495],"genre_scores_gemma":[0.9779033,0.00066875725,0.019763296,0.000002063722,0.000046260626,0.000024393305,0.000060840204,0.000110314344,0.0014207519],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985281,0.00016121582,0.00037193237,0.000584419,0.000054138833,0.00030014725],"domain_scores_gemma":[0.9988737,0.00018271417,0.00031069302,0.00038686028,0.00014924083,0.00009676132],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031579865,0.0003406876,0.00053342886,0.0003623256,0.00015106992,0.000037326452,0.0002610572,0.0001987374,0.000018962812],"category_scores_gemma":[0.00010290641,0.00045359365,0.000104143226,0.00028080263,0.00004277626,0.00019552345,0.0003542707,0.00049015146,0.0000027974027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000619159,0.000029659142,0.0006107912,0.0013627512,0.00017074241,0.000011217807,0.0002878559,0.9957285,0.00066047255,0.000979527,0.000023388664,0.000073180956],"study_design_scores_gemma":[0.000952171,0.00011088179,0.000119711556,0.00028458892,0.00013578539,0.0000033191693,0.0007933283,0.99676406,0.00015247549,0.00007835033,0.00019392215,0.00041138515],"about_ca_topic_score_codex":0.00004865535,"about_ca_topic_score_gemma":0.000009843715,"teacher_disagreement_score":0.9537348,"about_ca_system_score_codex":0.00037367083,"about_ca_system_score_gemma":0.000031914202,"threshold_uncertainty_score":0.99979156},"labels":[],"label_agreement":null},{"id":"W4298209957","doi":"","title":"Energy Minimization-based Cross-layer Design in Wireless Networks","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Minification; Energy (signal processing); Energy minimization; Layer (electronics); Cross-layer optimization; Wireless sensor network; Wireless; Computer network; Wireless network; Telecommunications; Materials science; Physics","score_opus":0.014788533045903298,"score_gpt":0.22218298932580555,"score_spread":0.20739445627990225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298209957","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":[0.003803298,0.0010654024,0.9856062,0.00020425218,0.00041569388,0.00044333277,0.00002254275,0.00060834334,0.007830913],"genre_scores_gemma":[0.89105654,0.0016795297,0.104410596,0.000045082492,0.000041707837,0.0002501292,0.0008214257,0.0001559454,0.0015390194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99531174,0.002488993,0.00079925393,0.0006736596,0.00027550707,0.00045086475],"domain_scores_gemma":[0.99555546,0.0012111608,0.00032379522,0.0016060806,0.0011541293,0.00014937948],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013893266,0.00046010423,0.00048323686,0.00034311603,0.0001786915,0.00023836708,0.0008433115,0.0005673892,0.000043888576],"category_scores_gemma":[0.00033356433,0.0005705888,0.00013993574,0.0006071698,0.00014757132,0.00018274016,0.00029341519,0.00058501324,0.000010226639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008048305,0.000104545885,0.0009343141,0.00009334783,0.000025515239,0.000007266901,0.00071748346,0.990026,0.0001931885,0.0014577818,0.00058779644,0.005844701],"study_design_scores_gemma":[0.00054364325,1.5967937e-7,0.00033544464,0.00110505,0.000011316333,0.0000040558984,0.000010129867,0.9819663,0.014331632,0.00021518815,0.0009876605,0.00048939686],"about_ca_topic_score_codex":0.00047903083,"about_ca_topic_score_gemma":0.0006189236,"teacher_disagreement_score":0.8872533,"about_ca_system_score_codex":0.00034701612,"about_ca_system_score_gemma":0.00024793352,"threshold_uncertainty_score":0.99967456},"labels":[],"label_agreement":null},{"id":"W4300361987","doi":"10.1109/icc45855.2022.9839273","title":"Decentralized User Scheduling and Beamforming in Multi-cell MIMO Networks","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Computer science; Scheduling (production processes); MIMO; Signal-to-interference-plus-noise ratio; Scalability; Leakage (economics); Algorithm; Electronic engineering; Mathematical optimization; Telecommunications; Mathematics; Engineering","score_opus":0.06688023611352803,"score_gpt":0.3158072427891416,"score_spread":0.24892700667561354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300361987","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":[0.06159905,0.0026802118,0.91465944,0.0014533765,0.0022797794,0.0010831386,0.00016890166,0.00051011395,0.015565999],"genre_scores_gemma":[0.97104126,0.0018104994,0.026263356,0.00008439619,0.000020069747,0.0002989007,0.00017144445,0.00003389014,0.00027615225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897057,0.000101993566,0.00036437964,0.0001894828,0.00017882221,0.00019472922],"domain_scores_gemma":[0.9990931,0.00014256539,0.00009086608,0.0005452047,0.00007346183,0.000054770877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021586221,0.0001476832,0.00014975686,0.00022431034,0.00023432633,0.00006364962,0.00078391656,0.000047112797,0.00020744473],"category_scores_gemma":[0.000029330613,0.00018731189,0.000034513705,0.00024177412,0.000044909375,0.00023471328,0.00026156133,0.0005468906,0.000008475928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012411379,0.000101319405,0.0009205602,0.0000070785427,0.000021448288,0.0000017995898,0.00043806175,0.9887624,0.0019711242,0.006441226,0.00008171137,0.0012408553],"study_design_scores_gemma":[0.00075633486,0.000015084862,0.00016828526,0.000042147145,0.000005449964,0.0000064472883,0.0007675358,0.9940661,0.0001228012,0.00013201391,0.0037361332,0.00018165665],"about_ca_topic_score_codex":0.000057055568,"about_ca_topic_score_gemma":0.00025951883,"teacher_disagreement_score":0.90944225,"about_ca_system_score_codex":0.0002869671,"about_ca_system_score_gemma":0.000029999856,"threshold_uncertainty_score":0.7638357},"labels":[],"label_agreement":null},{"id":"W4300543222","doi":"10.48550/arxiv.1804.05963","title":"All Technologies Work Together for Good: A Glance to Future Mobile\\n Networks","year":2018,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Work (physics); Cellular network; Emerging technologies; Cognitive radio; Telecommunications; Risk analysis (engineering); Business; Wireless; Engineering; Artificial intelligence","score_opus":0.02892675069270097,"score_gpt":0.18597113329554368,"score_spread":0.1570443826028427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300543222","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":[0.013143669,0.0010625581,0.9752107,0.000091368434,0.0036966798,0.0038671875,0.00007099452,0.0017694863,0.0010873158],"genre_scores_gemma":[0.9692379,0.0018208596,0.024778157,0.00007309042,0.0013610931,0.00010764665,0.00008011451,0.00025565978,0.002285466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9960527,0.00008621296,0.0005896488,0.0019914089,0.00007377174,0.0012062851],"domain_scores_gemma":[0.996563,0.00018360965,0.00042758964,0.0021069048,0.00046011552,0.00025875142],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00032022494,0.001058348,0.0010053269,0.00048053567,0.00026452082,0.00014024456,0.0016999446,0.0018587087,0.00006751336],"category_scores_gemma":[0.00006699824,0.0013318505,0.00042305517,0.0016758257,0.0001935957,0.0004676157,0.0010967859,0.0010230497,0.00017856907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003221522,0.00005968058,0.00091050094,0.00032158772,0.0003897089,0.00003760588,0.0003579255,0.98677474,0.00003093111,0.006861922,0.0015948341,0.0023384094],"study_design_scores_gemma":[0.0014896607,0.00034153796,0.00007319297,0.0011321999,0.00041015755,0.0000066912958,0.0031811,0.91594374,0.00017515689,0.0044212295,0.07046659,0.0023587667],"about_ca_topic_score_codex":0.000023436174,"about_ca_topic_score_gemma":0.00008401211,"teacher_disagreement_score":0.95609426,"about_ca_system_score_codex":0.00096051727,"about_ca_system_score_gemma":0.00008688454,"threshold_uncertainty_score":0.9994371},"labels":[],"label_agreement":null},{"id":"W4301133009","doi":"10.48550/arxiv.1709.05172","title":"Optimal Base Station Design with Limited Fronthaul: Massive Bandwidth or\\n Massive MIMO?","year":2017,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Baseband; Telecommunications link; Bandwidth (computing); MIMO; Computer science; Software-defined radio; Electronic engineering; Base station; Remote radio head; Quantization (signal processing); Engineering; Computer network; Telecommunications; Wireless; Cognitive radio; Channel (broadcasting)","score_opus":0.060907783394058626,"score_gpt":0.19118531537461264,"score_spread":0.13027753198055403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301133009","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":[0.019911462,0.00017174035,0.97284985,0.0000581222,0.0011520808,0.002953032,0.0003107262,0.00058158353,0.002011378],"genre_scores_gemma":[0.9119772,0.0012703553,0.07858787,0.000020243833,0.00025538317,0.000024617944,0.00043185236,0.00033287815,0.007099625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99455327,0.0005391597,0.00083031994,0.0025325806,0.00027632233,0.0012683325],"domain_scores_gemma":[0.99326855,0.0005317411,0.0017290423,0.0026832314,0.0010969228,0.0006904881],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.00044866963,0.0016188236,0.0014555408,0.00085261825,0.0009021025,0.0004010562,0.0015297969,0.0011625292,0.0005247408],"category_scores_gemma":[0.0003168849,0.0017369435,0.00034005017,0.00077300036,0.00044190534,0.0020321633,0.0005999531,0.001490848,0.00026838816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029140406,0.0001591418,0.00053366396,0.00055051525,0.0009948141,0.0028089827,0.0010307082,0.98867685,0.0002429693,0.0012423416,0.00042073982,0.00042526508],"study_design_scores_gemma":[0.0047966093,0.00060548354,0.0002156944,0.0014873808,0.0010677273,0.000025345278,0.0016692436,0.9855658,0.0016737446,0.0005282752,0.00023297439,0.002131731],"about_ca_topic_score_codex":0.00030802254,"about_ca_topic_score_gemma":0.00021440667,"teacher_disagreement_score":0.894262,"about_ca_system_score_codex":0.001969611,"about_ca_system_score_gemma":0.0008273416,"threshold_uncertainty_score":0.9996559},"labels":[],"label_agreement":null},{"id":"W4301278454","doi":"10.48550/arxiv.1607.06439","title":"Mobility-Aware Modeling and Analysis of Dense Cellular Networks with\\n C-plane/U-plane Split Architecture","year":2016,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Handover; Cellular network; Computer science; Overhead (engineering); Computer network; Context (archaeology); Forwarding plane; Base station; Mobility management; Distributed computing; Geography","score_opus":0.01930596333861896,"score_gpt":0.15670221096159148,"score_spread":0.13739624762297253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301278454","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":[0.31089598,0.00057034835,0.6872351,0.0000047140384,0.0001512095,0.0005956909,0.00021126961,0.00013542677,0.00020023632],"genre_scores_gemma":[0.9954872,0.0011508896,0.002499433,0.000005456213,0.000100074794,0.000002902502,0.00032680164,0.00011392741,0.0003132982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99633044,0.0002265815,0.00080550875,0.0017575392,0.00014939353,0.0007305577],"domain_scores_gemma":[0.99666244,0.0002868435,0.0005972797,0.0016887309,0.00038670632,0.00037801292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036379223,0.0009427724,0.0016811141,0.001161299,0.00020171372,0.000052336447,0.0006024275,0.00086198,0.00010661965],"category_scores_gemma":[0.000027288255,0.0009570921,0.00037993523,0.0017181159,0.00027253258,0.00027225888,0.00045993613,0.00093174895,0.0000067029705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003770613,0.000058755348,0.005687511,0.00072330766,0.0033063,0.00021440085,0.0003199838,0.98798335,0.00028043287,0.00075196504,0.0000016069818,0.0002953111],"study_design_scores_gemma":[0.00093430426,0.00008149047,0.00013728799,0.00081553997,0.0046701403,0.000012564481,0.00024499124,0.9912168,0.00013630299,0.00077271985,0.000009086335,0.00096878683],"about_ca_topic_score_codex":0.00024045844,"about_ca_topic_score_gemma":0.0002663514,"teacher_disagreement_score":0.6847357,"about_ca_system_score_codex":0.00037858856,"about_ca_system_score_gemma":0.00008433701,"threshold_uncertainty_score":0.99928796},"labels":[],"label_agreement":null},{"id":"W4301488295","doi":"10.48550/arxiv.1402.0045","title":"Pilot Optimization and Channel Estimation for Multiuser Massive MIMO\\n Systems","year":2014,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Algorithm; MIMO; Rayleigh quotient; Minimum mean square error; Channel (broadcasting); Mathematical optimization; Telecommunications link; Computer science; Mathematics; Statistics; Telecommunications; Estimator","score_opus":0.04581841536730876,"score_gpt":0.18418005699891946,"score_spread":0.1383616416316107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301488295","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":[0.0047362074,0.00036276452,0.9872079,0.000022162325,0.0028349087,0.0038180843,0.00016221158,0.00047296283,0.0003827835],"genre_scores_gemma":[0.96692985,0.00085484865,0.02977808,0.000012590217,0.0003305201,0.000048855385,0.00046839626,0.00022333837,0.0013535399],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965727,0.00021519042,0.00078326795,0.0016206248,0.00010709009,0.0007011739],"domain_scores_gemma":[0.9967234,0.00042860926,0.0008494512,0.0009615794,0.00069220125,0.00034476424],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004444283,0.00093373825,0.0009838941,0.0005961707,0.00041662072,0.00022361559,0.00047250424,0.0006185016,0.000018493743],"category_scores_gemma":[0.00024195143,0.0012565348,0.0001983502,0.00050105643,0.00014556441,0.0008991204,0.0003419442,0.0005057811,0.000037046033],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017005343,0.00007049832,0.00006223822,0.0023918666,0.0002616999,0.000011720587,0.00027945905,0.988026,0.00008406715,0.00844177,0.00009057494,0.000110039],"study_design_scores_gemma":[0.0026967172,0.0002528088,0.000018702622,0.0010658411,0.00047395486,0.000008355494,0.0003479059,0.99288136,0.000087904176,0.0009325186,0.00007631887,0.0011576402],"about_ca_topic_score_codex":0.0001807483,"about_ca_topic_score_gemma":0.000023920167,"teacher_disagreement_score":0.9621936,"about_ca_system_score_codex":0.00080610486,"about_ca_system_score_gemma":0.000086925,"threshold_uncertainty_score":0.99898845},"labels":[],"label_agreement":null},{"id":"W4301737656","doi":"10.48550/arxiv.0912.3323","title":"Minimizing Sum-MSE Implies Identical Downlink and Dual Uplink Power\\n Allocations","year":2009,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Telecommunications link; Duality (order theory); Mathematical optimization; Computer science; Power (physics); Constraint (computer-aided design); Convex optimization; Regular polygon; Dual (grammatical number); Mathematics; Discrete mathematics; Computer network","score_opus":0.03390993658803554,"score_gpt":0.18346135607740283,"score_spread":0.1495514194893673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301737656","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":[0.10413438,0.0004307177,0.88988996,0.000050960505,0.000545263,0.00047474034,0.00013185701,0.0007930058,0.003549122],"genre_scores_gemma":[0.9927589,0.0005544254,0.005828227,0.000020477666,0.0000942214,0.0000023290117,0.00020773479,0.000053751013,0.00047989914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986186,0.000041404935,0.00032229724,0.0006170535,0.00005310057,0.000347513],"domain_scores_gemma":[0.9989104,0.00011284001,0.00011503736,0.0005645177,0.00011877678,0.00017840062],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011184939,0.00037126988,0.0003786552,0.00027265341,0.00013339495,0.00009092187,0.00026234647,0.0004032577,0.00008419343],"category_scores_gemma":[0.00005867757,0.00048445942,0.00011172292,0.0002768223,0.000098982484,0.00029386408,0.00031375655,0.00053838873,0.00005428203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010983978,0.000024384964,0.00029198057,0.00012759745,0.00009508518,0.00008358417,0.00020186945,0.98688513,0.00014417974,0.011282786,0.0006528503,0.00019957582],"study_design_scores_gemma":[0.00085403223,0.000052071384,0.0024381222,0.00043090727,0.0002785316,0.00003731878,0.00058554043,0.979721,0.0001664453,0.013462029,0.00071561907,0.0012583798],"about_ca_topic_score_codex":0.00002288102,"about_ca_topic_score_gemma":0.000032021886,"teacher_disagreement_score":0.88862455,"about_ca_system_score_codex":0.00023353973,"about_ca_system_score_gemma":0.000052408937,"threshold_uncertainty_score":0.9997607},"labels":[],"label_agreement":null},{"id":"W4301770135","doi":"10.1109/icc45855.2022.9838650","title":"SINR-Based Interleaved Training Design for Multi-User Massive MIMO Downlink with MRT","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Alberta","funders":"","keywords":"Telecommunications link; Computer science; Channel state information; MIMO; Base station; Quality of service; Training (meteorology); Channel (broadcasting); Transmission (telecommunications); Scheme (mathematics); Antenna (radio); Process (computing); Computer network; Real-time computing; Electronic engineering; Wireless; Telecommunications; Engineering; Mathematics","score_opus":0.18500882459596774,"score_gpt":0.34311776382880405,"score_spread":0.1581089392328363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301770135","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":[0.000684287,0.000057334106,0.9917551,0.0016885323,0.0006919377,0.0009467225,0.00043163405,0.00033578635,0.0034086462],"genre_scores_gemma":[0.8290974,0.000038535072,0.16671033,0.00017671807,0.000048484184,0.0022981819,0.0005969646,0.00007030935,0.00096307416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861604,0.00016702361,0.0004047879,0.0002825709,0.00029004397,0.0002395461],"domain_scores_gemma":[0.9981033,0.0004252001,0.00017483007,0.0008964104,0.0003278607,0.00007237699],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027363122,0.00023571015,0.00021978968,0.00027987812,0.0004107016,0.000088263965,0.0013956298,0.000056549306,0.0003711044],"category_scores_gemma":[0.00007176275,0.00025737745,0.00008026653,0.00024756798,0.00009037282,0.00021110626,0.000112862304,0.00048016338,0.000020094814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120113444,0.00015465694,0.00003562317,0.0000133721915,0.00013814919,0.0000024856963,0.0010756658,0.9745792,0.0047264537,0.0154157905,0.0012170726,0.0025214218],"study_design_scores_gemma":[0.0013380669,0.0002266451,0.000023496505,0.00008226328,0.000023588116,0.0000066715324,0.001845689,0.9823854,0.0010591893,0.0002674252,0.012427111,0.00031443863],"about_ca_topic_score_codex":0.000014281845,"about_ca_topic_score_gemma":0.000107236425,"teacher_disagreement_score":0.8284131,"about_ca_system_score_codex":0.0004540422,"about_ca_system_score_gemma":0.00015795759,"threshold_uncertainty_score":0.99998784},"labels":[],"label_agreement":null},{"id":"W4302091065","doi":"","title":"Handover Enhancement for LTE-Advanced and Beyond Heterogeneous Cellular Networks","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Computer science; Computer network; LTE Advanced; Cellular network; Cellular radio; Telecommunications link; Base station","score_opus":0.007454640702753496,"score_gpt":0.20738119898200652,"score_spread":0.199926558279253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302091065","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":[0.027474973,0.0015485078,0.96150357,0.00032396015,0.00024403314,0.00046379218,0.00001242077,0.0001508936,0.008277871],"genre_scores_gemma":[0.92913634,0.00049085304,0.06765243,0.00002316009,0.000023452892,0.000108366585,0.00007688468,0.00004726925,0.00244127],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887913,0.00020506392,0.00025490558,0.00029653092,0.00010349604,0.00026088225],"domain_scores_gemma":[0.99802244,0.00026304173,0.00016407296,0.0010407198,0.00040953516,0.000100170575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083091744,0.00017461448,0.00019266676,0.000044963792,0.0004947752,0.00024193697,0.00036046267,0.0000873676,0.000020909121],"category_scores_gemma":[0.00027077904,0.00019515258,0.00005749923,0.00005138271,0.0000902307,0.00026232906,0.00013159319,0.00009648305,0.0000054213983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009115598,0.00043078462,0.0014628161,0.000640628,0.00032797043,0.000012142921,0.0073480033,0.3258128,0.19765437,0.046689015,0.0015626891,0.41796765],"study_design_scores_gemma":[0.0011351496,7.969796e-7,0.000102722035,0.00026139428,0.000022461594,0.000004665264,0.000027758264,0.6999907,0.2884499,0.00062891917,0.009055181,0.00032031522],"about_ca_topic_score_codex":0.000023586073,"about_ca_topic_score_gemma":0.00019604087,"teacher_disagreement_score":0.90166134,"about_ca_system_score_codex":0.000057340167,"about_ca_system_score_gemma":0.000012060497,"threshold_uncertainty_score":0.7958091},"labels":[],"label_agreement":null},{"id":"W4302318840","doi":"10.1109/icc45855.2022.9838575","title":"Joint Routing and Packet Scheduling For URLLC and eMBB traffic in 5G O-RAN","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Computer science; Computer network; Scheduling (production processes); Quality of service; C-RAN; Radio access network; Network packet; Cellular network; Mobile broadband; Distributed computing; Base station; Wireless; Engineering; Operating system; Mobile station","score_opus":0.0888083155736193,"score_gpt":0.31899333102263616,"score_spread":0.23018501544901687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302318840","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":[0.8023723,0.0017884527,0.16239597,0.0080185775,0.0020533665,0.0023369929,0.00077287236,0.00067520945,0.019586282],"genre_scores_gemma":[0.9906266,0.00044947976,0.008109727,0.000059037375,0.000031085805,0.0004499787,0.00014490633,0.000028122511,0.00010107193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991407,0.00007186017,0.00033043974,0.00018946186,0.00012179989,0.00014574373],"domain_scores_gemma":[0.9991901,0.00022384794,0.00008307416,0.00038467196,0.000075560514,0.00004274051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003024206,0.00012515631,0.00015010138,0.00021451993,0.00026227348,0.00006937826,0.0003948338,0.00003563963,0.000057666093],"category_scores_gemma":[0.00008805612,0.00015723056,0.000028148748,0.00014360253,0.00005024231,0.00017122198,0.00013319969,0.00033437402,0.0000022162533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003264347,0.000112863156,0.00042451321,0.00004451586,0.000072689225,0.0000017521475,0.0031835835,0.87997144,0.008682254,0.09022938,0.00018817587,0.017056193],"study_design_scores_gemma":[0.0005408105,0.000038282404,0.00028746447,0.00006544788,0.000006631949,0.000011291634,0.002119885,0.99437135,0.00012227175,0.0012711956,0.0009954117,0.00016996978],"about_ca_topic_score_codex":0.000025234069,"about_ca_topic_score_gemma":0.00024575015,"teacher_disagreement_score":0.18825431,"about_ca_system_score_codex":0.0001797058,"about_ca_system_score_gemma":0.000029095236,"threshold_uncertainty_score":0.64116764},"labels":[],"label_agreement":null},{"id":"W4302591925","doi":"10.1109/icc45855.2022.9839162","title":"Deep Learning based Multi-User Power Allocation and Hybrid Precoding in Massive MIMO Systems","year":2022,"lang":"en","type":"article","venue":"ICC 2022 - IEEE International Conference on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precoding; Overhead (engineering); Particle swarm optimization; Computer science; MIMO; Deep learning; Artificial neural network; Artificial intelligence; Channel (broadcasting); Algorithm; Computer network","score_opus":0.0471176904117414,"score_gpt":0.2961587511514324,"score_spread":0.249041060739691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302591925","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":[0.030783786,0.0013251107,0.9407546,0.0022698988,0.002929236,0.0016248408,0.00018535426,0.0007020608,0.019425109],"genre_scores_gemma":[0.994456,0.00030527817,0.003501513,0.000046956353,0.00002063381,0.0007387812,0.00029982513,0.000041648454,0.0005893654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865407,0.00025809722,0.00041141,0.00024435445,0.00025679078,0.000175274],"domain_scores_gemma":[0.998862,0.00023420024,0.00014895166,0.00054548384,0.00015688445,0.0000524761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030323255,0.00016987648,0.00016863961,0.00036817545,0.00028342943,0.00010186873,0.0007061274,0.000040221898,0.00022257316],"category_scores_gemma":[0.00008806669,0.00021686043,0.000034450113,0.00022195764,0.000046947775,0.0002707119,0.00017384304,0.000600469,0.00001859574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011790819,0.00007335903,0.00082624465,0.000013922049,0.000029996603,0.0000025681795,0.00048497482,0.9858518,0.0023386716,0.00964473,0.000086834305,0.0006350655],"study_design_scores_gemma":[0.0005285794,0.00003526626,0.00040010593,0.000076726,0.0000061682285,0.000007960146,0.0014896588,0.9927283,0.00015108676,0.00006167107,0.004306978,0.00020751588],"about_ca_topic_score_codex":0.00006729453,"about_ca_topic_score_gemma":0.00012835102,"teacher_disagreement_score":0.9636722,"about_ca_system_score_codex":0.0004968788,"about_ca_system_score_gemma":0.00004052321,"threshold_uncertainty_score":0.88433117},"labels":[],"label_agreement":null},{"id":"W4306763689","doi":"10.1145/3551659.3559056","title":"Optimizing Cell Sizes for Ultra-Reliable Low-Latency Communications in 5G Wireless Networks","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Base station; Stochastic geometry; Physical layer; Retransmission; Signal-to-interference-plus-noise ratio; Computer network; Coverage probability; Femtocell; Cellular network; Macrocell; Wireless; Stochastic geometry models of wireless networks; Wireless network; Telecommunications link; Radio resource management; Telecommunications; Mathematics; Statistics","score_opus":0.01168002263448711,"score_gpt":0.22590395674088468,"score_spread":0.21422393410639756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306763689","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":[0.0028226539,0.001268308,0.97549546,0.000055560686,0.00037349557,0.0007548706,0.000014573715,0.00043139502,0.018783672],"genre_scores_gemma":[0.9414746,0.0002874861,0.056699645,0.000035273824,0.000026338206,0.00059623184,0.0000871738,0.00006004874,0.0007331683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916446,0.000027804688,0.00031837524,0.00015021845,0.00006734153,0.00027180373],"domain_scores_gemma":[0.999242,0.00015565712,0.000044891338,0.00048686258,0.00003303214,0.000037526504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017323735,0.00012533533,0.00017362548,0.00009113615,0.00019986094,0.000021474045,0.00035456006,0.000048350757,0.00006519479],"category_scores_gemma":[0.000007731187,0.00014870967,0.000042310072,0.00034604233,0.000014965165,0.00017767149,0.000053910473,0.00021917152,0.00000358449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004427538,0.000033653174,0.00007818005,0.000044329176,0.000005435795,4.2524167e-7,0.00026410088,0.9960958,0.002040893,0.000551122,0.0005152711,0.0003663903],"study_design_scores_gemma":[0.0004894339,0.000018224866,0.000006303113,0.000020412162,0.0000054545735,0.0000014062359,0.00062303816,0.9956976,0.001636635,0.0000737874,0.0012456084,0.00018207678],"about_ca_topic_score_codex":0.00006175297,"about_ca_topic_score_gemma":0.000073043324,"teacher_disagreement_score":0.938652,"about_ca_system_score_codex":0.00018360064,"about_ca_system_score_gemma":0.000013785334,"threshold_uncertainty_score":0.60642046},"labels":[],"label_agreement":null},{"id":"W4308090452","doi":"10.23919/wiopt56218.2022.9930554","title":"A Hierarchical Green Mean-Field Power Control with eMBB-mMTC Coexistence in Ultradense 5G (Invited Paper)","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Stackelberg competition; Quality of service; Power control; Transmitter power output; Mathematical optimization; Channel (broadcasting); Power budget; Computer network; Distributed computing; Game theory; Power (physics); Transmitter; Mathematics","score_opus":0.009024562633657324,"score_gpt":0.22257038885967104,"score_spread":0.2135458262260137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308090452","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":[0.04775262,0.0013256366,0.87896043,0.0029071106,0.0017046856,0.0051088114,0.00024966215,0.0029583124,0.05903271],"genre_scores_gemma":[0.990434,0.000071286406,0.0074354154,0.0008318189,0.00007510015,0.00032192838,0.000094012226,0.00013704746,0.0005993796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976973,0.00013115663,0.0006475534,0.00064525125,0.00039707834,0.0004816732],"domain_scores_gemma":[0.9985573,0.00031811913,0.0001156385,0.0008001897,0.00006227965,0.00014642905],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022800152,0.0005021069,0.000691508,0.0002877245,0.000056292654,0.00005487708,0.0004513877,0.0003668612,0.00066026294],"category_scores_gemma":[0.00008085212,0.0004695422,0.00010738737,0.0003478709,0.000046268167,0.00017803778,0.00013686629,0.0016655172,0.000013768862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019093178,0.000051250703,0.00071543164,0.00026640214,0.00012533783,0.00018470698,0.0019356275,0.99442333,0.00094280293,0.0003463397,0.0005095761,0.000308291],"study_design_scores_gemma":[0.012236205,0.0011533756,0.00315747,0.0018754116,0.00026454087,0.00040032022,0.0041056136,0.95685524,0.0017255057,0.0021652973,0.0103647895,0.0056962413],"about_ca_topic_score_codex":0.00047000064,"about_ca_topic_score_gemma":0.0009397856,"teacher_disagreement_score":0.9426814,"about_ca_system_score_codex":0.0003364717,"about_ca_system_score_gemma":0.000051866915,"threshold_uncertainty_score":0.99977565},"labels":[],"label_agreement":null},{"id":"W4308124832","doi":"10.32920/21476625","title":"An Optimum User Association Algorithm in Heterogeneous 5G Networks Using Standard Deviation of the Load","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Macro; Wireless network; Signal-to-interference-plus-noise ratio; Algorithm; Quality of service; Standard deviation; Efficient energy use; Coverage probability; User equipment; Cellular network; Wireless; Power (physics); Real-time computing; Computer network; Statistics; Telecommunications; Engineering; Mathematics","score_opus":0.009641497137348352,"score_gpt":0.24476175934353173,"score_spread":0.23512026220618337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308124832","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":[0.028236322,0.0003719455,0.9685675,0.0000069960965,0.0015715566,0.0007161733,0.000071554416,0.00017205074,0.0002858818],"genre_scores_gemma":[0.9280992,0.00014294262,0.07109388,0.000018230536,0.00018075635,0.0000824163,0.00014445982,0.00011355579,0.00012456182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833643,0.0001710848,0.0005758805,0.00027349973,0.00040674125,0.00023634674],"domain_scores_gemma":[0.99892366,0.000045449313,0.0003449546,0.00048656962,0.00016762568,0.000031759024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051866024,0.00023002416,0.00035246884,0.00010405614,0.00005900969,0.000044502027,0.0002688045,0.0003206278,0.00009182029],"category_scores_gemma":[0.000041371666,0.00022585699,0.00009488601,0.00028117743,0.000008088569,0.00016100895,0.0001597821,0.0005210266,5.3876215e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004332598,0.0000117217905,0.0022633397,0.000051546882,0.000041895397,9.5233816e-7,0.00017374616,0.99561334,0.00013485044,0.000008449468,0.000026213886,0.0016695973],"study_design_scores_gemma":[0.0002130271,0.000013143217,0.00023740262,0.00007866879,0.000027341663,0.0000015732566,0.00005401274,0.99821633,0.00075459946,0.000066859124,0.000120471865,0.00021659855],"about_ca_topic_score_codex":0.00017422295,"about_ca_topic_score_gemma":0.0002441229,"teacher_disagreement_score":0.8998629,"about_ca_system_score_codex":0.0038281777,"about_ca_system_score_gemma":0.00010256275,"threshold_uncertainty_score":0.99999595},"labels":[],"label_agreement":null},{"id":"W4308130452","doi":"10.32920/21476625.v1","title":"An Optimum User Association Algorithm in Heterogeneous 5G Networks Using Standard Deviation of the Load","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Base station; Computer science; Macro; Wireless network; Algorithm; Standard deviation; Signal-to-interference-plus-noise ratio; Quality of service; Coverage probability; Efficient energy use; Cellular network; User equipment; Wireless; Power (physics); Real-time computing; Computer network; Statistics; Telecommunications; Engineering; Mathematics","score_opus":0.009641497137348352,"score_gpt":0.24476175934353173,"score_spread":0.23512026220618337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308130452","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":[0.028236322,0.0003719455,0.9685675,0.0000069960965,0.0015715566,0.0007161733,0.000071554416,0.00017205074,0.0002858818],"genre_scores_gemma":[0.9280992,0.00014294262,0.07109388,0.000018230536,0.00018075635,0.0000824163,0.00014445982,0.00011355579,0.00012456182],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99833643,0.0001710848,0.0005758805,0.00027349973,0.00040674125,0.00023634674],"domain_scores_gemma":[0.99892366,0.000045449313,0.0003449546,0.00048656962,0.00016762568,0.000031759024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051866024,0.00023002416,0.00035246884,0.00010405614,0.00005900969,0.000044502027,0.0002688045,0.0003206278,0.00009182029],"category_scores_gemma":[0.000041371666,0.00022585699,0.00009488601,0.00028117743,0.000008088569,0.00016100895,0.0001597821,0.0005210266,5.3876215e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004332598,0.0000117217905,0.0022633397,0.000051546882,0.000041895397,9.5233816e-7,0.00017374616,0.99561334,0.00013485044,0.000008449468,0.000026213886,0.0016695973],"study_design_scores_gemma":[0.0002130271,0.000013143217,0.00023740262,0.00007866879,0.000027341663,0.0000015732566,0.00005401274,0.99821633,0.00075459946,0.000066859124,0.000120471865,0.00021659855],"about_ca_topic_score_codex":0.00017422295,"about_ca_topic_score_gemma":0.0002441229,"teacher_disagreement_score":0.8998629,"about_ca_system_score_codex":0.0038281777,"about_ca_system_score_gemma":0.00010256275,"threshold_uncertainty_score":0.99999595},"labels":[],"label_agreement":null},{"id":"W4309225968","doi":"10.1109/nof55974.2022.9942521","title":"Bandwidth Prediction in 5G Mobile Networks Using Informer","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Bandwidth (computing); Mobile telephony; Telecommunications; Mobile radio","score_opus":0.006209943545476771,"score_gpt":0.20011553290141534,"score_spread":0.19390558935593857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309225968","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":[0.037146475,0.00018759862,0.9504764,0.0000011865152,0.00061235105,0.00029459086,0.00000466124,0.00030351416,0.010973219],"genre_scores_gemma":[0.9971697,0.000011065597,0.0022738539,0.000014262488,0.000050902574,0.00010704866,0.00002309047,0.000020753374,0.0003293757],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999556,0.000010393178,0.00016956628,0.00006894303,0.00006506868,0.00013002421],"domain_scores_gemma":[0.9998594,0.000009944727,0.000015846328,0.000087567045,0.000008246355,0.000018986375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000802671,0.0000611395,0.00007065365,0.00008637963,0.000050698578,0.000008030644,0.000041711577,0.000025879515,0.000345107],"category_scores_gemma":[0.0000025434304,0.00006930828,0.000013827374,0.00027029472,0.0000037447594,0.00020289948,0.000019096198,0.00011746821,0.0000033995764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020809014,0.0000041817634,0.0012171289,0.00000634393,0.0000030889157,7.1136697e-7,0.00008678716,0.9968191,0.00019482667,0.000028517743,0.00025586926,0.0013814037],"study_design_scores_gemma":[0.00017765557,0.000014614583,0.00016275124,0.000004869806,0.0000018390289,0.000006624371,0.00020335548,0.996768,0.00007320329,0.000008587664,0.002510677,0.00006782841],"about_ca_topic_score_codex":0.000034349425,"about_ca_topic_score_gemma":0.000016234015,"teacher_disagreement_score":0.96002316,"about_ca_system_score_codex":0.00021919777,"about_ca_system_score_gemma":0.00000616413,"threshold_uncertainty_score":0.37786794},"labels":[],"label_agreement":null},{"id":"W4309258608","doi":"10.32920/21576657.v1","title":"Efficient Resource Allocation in Device-to-Device Communication Using Cognitive Radio Technology","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Underlay; Cognitive radio; Subcarrier; Computer science; Overlay; Interference (communication); Resource allocation; Computer network; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Telecommunications; Wireless; Signal-to-noise ratio (imaging)","score_opus":0.022337055560606122,"score_gpt":0.27930399500525227,"score_spread":0.25696693944464616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309258608","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":[0.2193208,0.0020576473,0.7681815,0.00019689692,0.0002827263,0.0022819212,0.000026478792,0.0011382549,0.0065137837],"genre_scores_gemma":[0.95103437,0.000050769944,0.047848508,0.00005566427,0.000028844484,0.0004961714,0.00029166928,0.00010485716,0.00008914615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983354,0.00014858722,0.000592892,0.0004467764,0.0001885647,0.00028777894],"domain_scores_gemma":[0.99872243,0.00012794668,0.00015687504,0.0007983703,0.00013994852,0.00005439769],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040611546,0.00030132444,0.00037612958,0.0009830907,0.000106856925,0.000034613044,0.0004822814,0.00033893177,0.000060565457],"category_scores_gemma":[0.00013989328,0.0003883205,0.00004368702,0.0010792802,0.000033645665,0.000042840824,0.0008099039,0.00090484484,0.000022333992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000086021355,0.000028570992,0.00018691762,0.00017256977,0.000026283942,0.000001987613,0.0008995069,0.99675786,0.0006157222,0.00021476921,0.000023046608,0.0010641679],"study_design_scores_gemma":[0.000320507,0.000012582628,0.00012258402,0.00059286633,0.000032692205,0.00000787023,0.0027480985,0.99354273,0.0010303643,0.000070135444,0.00109232,0.0004272732],"about_ca_topic_score_codex":0.00015623297,"about_ca_topic_score_gemma":0.00013778928,"teacher_disagreement_score":0.73171353,"about_ca_system_score_codex":0.0013005465,"about_ca_system_score_gemma":0.0000625831,"threshold_uncertainty_score":0.9998569},"labels":[],"label_agreement":null},{"id":"W4309258642","doi":"10.32920/21576657","title":"Efficient Resource Allocation in Device-to-Device Communication Using Cognitive Radio Technology","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Underlay; Cognitive radio; Subcarrier; Computer science; Overlay; Interference (communication); Resource allocation; Computer network; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Telecommunications; Wireless; Signal-to-noise ratio (imaging)","score_opus":0.022337055560606122,"score_gpt":0.27930399500525227,"score_spread":0.25696693944464616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309258642","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":[0.2193208,0.0020576473,0.7681815,0.00019689692,0.0002827263,0.0022819212,0.000026478792,0.0011382549,0.0065137837],"genre_scores_gemma":[0.95103437,0.000050769944,0.047848508,0.00005566427,0.000028844484,0.0004961714,0.00029166928,0.00010485716,0.00008914615],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983354,0.00014858722,0.000592892,0.0004467764,0.0001885647,0.00028777894],"domain_scores_gemma":[0.99872243,0.00012794668,0.00015687504,0.0007983703,0.00013994852,0.00005439769],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040611546,0.00030132444,0.00037612958,0.0009830907,0.000106856925,0.000034613044,0.0004822814,0.00033893177,0.000060565457],"category_scores_gemma":[0.00013989328,0.0003883205,0.00004368702,0.0010792802,0.000033645665,0.000042840824,0.0008099039,0.00090484484,0.000022333992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000086021355,0.000028570992,0.00018691762,0.00017256977,0.000026283942,0.000001987613,0.0008995069,0.99675786,0.0006157222,0.00021476921,0.000023046608,0.0010641679],"study_design_scores_gemma":[0.000320507,0.000012582628,0.00012258402,0.00059286633,0.000032692205,0.00000787023,0.0027480985,0.99354273,0.0010303643,0.000070135444,0.00109232,0.0004272732],"about_ca_topic_score_codex":0.00015623297,"about_ca_topic_score_gemma":0.00013778928,"teacher_disagreement_score":0.73171353,"about_ca_system_score_codex":0.0013005465,"about_ca_system_score_gemma":0.0000625831,"threshold_uncertainty_score":0.9998569},"labels":[],"label_agreement":null},{"id":"W4309258663","doi":"10.32920/21576672.v1","title":"Energy-efficient power allocation in underlay and overlay cognitive device-to-device communications","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Underlay; Overlay; Cognitive radio; Computer science; Computer network; Cellular network; Efficient energy use; Quality of service; Mathematical optimization; Signal-to-noise ratio (imaging); Telecommunications; Wireless; Mathematics; Engineering; Electrical engineering","score_opus":0.02258326311672339,"score_gpt":0.27807943056850415,"score_spread":0.2554961674517808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309258663","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":[0.012838454,0.0023831665,0.9391641,0.00033002597,0.0005271773,0.0011891355,0.0000867083,0.00055738504,0.042923845],"genre_scores_gemma":[0.98819035,0.00035679466,0.009741871,0.00021546848,0.0000198287,0.0006562437,0.0004098082,0.00008175441,0.00032787834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985615,0.0001280696,0.0004740456,0.00041674022,0.00018328239,0.00023638879],"domain_scores_gemma":[0.9986527,0.00024286435,0.000095473355,0.0007884512,0.00012623095,0.00009430967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023683324,0.00029576075,0.00030320315,0.00036995398,0.0000966726,0.000058666195,0.0003707795,0.00017670855,0.00013729112],"category_scores_gemma":[0.000054005945,0.00035612696,0.00004073933,0.00041694872,0.0000326539,0.000079557394,0.0009860385,0.00048260824,0.000014304087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005322705,0.000051684106,0.00015683322,0.0000867456,0.00004137903,0.0000013290062,0.0015475284,0.99404895,0.00014326241,0.0026279427,0.00012218568,0.0011668166],"study_design_scores_gemma":[0.00048331535,0.00002982061,0.001542757,0.000419128,0.00004450501,0.000005109114,0.0030773508,0.98733366,0.0002328271,0.00026339747,0.0058190958,0.000749014],"about_ca_topic_score_codex":0.00031797777,"about_ca_topic_score_gemma":0.0010631375,"teacher_disagreement_score":0.97535187,"about_ca_system_score_codex":0.00052071124,"about_ca_system_score_gemma":0.000060666796,"threshold_uncertainty_score":0.9998891},"labels":[],"label_agreement":null},{"id":"W4309504611","doi":"10.36227/techrxiv.21557265.v1","title":"Capacity Enhancement of 5G 4T4R network using multiple non orthogonal polarization antenna system with transmitter beam angular diversity","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"MIMO; Transmitter; Polarization (electrochemistry); Orthogonal polarization spectral imaging; Channel capacity; Physics; Telecommunications; Electronic engineering; Optics; Computer science; Channel (broadcasting); Engineering; Chemistry","score_opus":0.014968663929792084,"score_gpt":0.1947811845901484,"score_spread":0.1798125206603563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309504611","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":[0.24660283,0.00012434389,0.75118047,0.0000020495454,0.00060435623,0.00088359416,0.00009434056,0.00022328486,0.00028474967],"genre_scores_gemma":[0.9516534,0.000015350537,0.047699668,0.000008924608,0.00013207576,0.000041350446,0.00031611387,0.000075763295,0.000057314795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99815565,0.000070177404,0.0005471337,0.0004580494,0.00042039814,0.00034857946],"domain_scores_gemma":[0.9989784,0.000029596507,0.00027428553,0.00047427404,0.00016705091,0.00007641253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025640108,0.00039746377,0.00058337714,0.00014597752,0.0002489245,0.000023334727,0.0002598107,0.00022612418,0.00008383414],"category_scores_gemma":[0.000004893649,0.00040935262,0.00012576695,0.0002979857,0.000038828006,0.00018349529,0.00031957778,0.00044739182,0.0000013133528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040630144,0.000030080375,0.0233128,0.0015462328,0.00021317335,0.000006085876,0.0005690319,0.96661,0.0075776037,0.000036950507,0.000009019275,0.000048373222],"study_design_scores_gemma":[0.0005602371,0.000047735462,0.0016155217,0.0006682088,0.00015164664,0.000008535813,0.0002597198,0.9926411,0.0035220333,0.0000074768463,0.000019355477,0.00049843243],"about_ca_topic_score_codex":0.0005531512,"about_ca_topic_score_gemma":0.000120913246,"teacher_disagreement_score":0.7050506,"about_ca_system_score_codex":0.00062904815,"about_ca_system_score_gemma":0.000043844317,"threshold_uncertainty_score":0.99983585},"labels":[],"label_agreement":null},{"id":"W4309609412","doi":"10.3390/a15110432","title":"Automatic Fault Detection and Diagnosis in Cellular Networks and Beyond 5G: Intelligent Network Management","year":2022,"lang":"en","type":"article","venue":"Algorithms","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Handover; Artificial neural network; Fault detection and isolation; Fault (geology); Fault management; Data mining; Task (project management); Real-time computing; Artificial intelligence; Machine learning; Computer network","score_opus":0.005148682831609283,"score_gpt":0.19303740624607704,"score_spread":0.18788872341446777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309609412","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":[0.03890914,0.0062072673,0.95267445,0.000021625112,0.0008396898,0.00065747276,0.0000029718271,0.00025884062,0.00042855658],"genre_scores_gemma":[0.9880476,0.0012909024,0.0099352645,0.000030265104,0.00009103826,0.0005083751,0.0000122114725,0.000039601324,0.00004472493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992313,0.00004192806,0.00022446009,0.00018886331,0.000095297946,0.00021817247],"domain_scores_gemma":[0.9997438,0.000045568864,0.0000333481,0.00012478062,0.000007278116,0.000045178527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018290177,0.00012700567,0.00014678622,0.00009641976,0.000112664085,0.000026305885,0.000055781547,0.000037956415,0.000028463914],"category_scores_gemma":[0.0000031414563,0.00015121022,0.000015473268,0.000317933,0.000013970251,0.000094103794,0.000082842584,0.00015563304,0.0000015646101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000011411955,0.000010856298,0.00030833564,0.00004144418,0.000019450115,0.000019316072,0.00014785223,0.80608124,0.000007784187,0.00003149482,0.000061789826,0.19326931],"study_design_scores_gemma":[0.00020686559,0.00004182706,0.0003655412,0.00002278454,0.00001713936,0.000013033045,0.00034430402,0.99725443,0.00010332717,0.00024253436,0.0012334598,0.00015475007],"about_ca_topic_score_codex":0.000015309688,"about_ca_topic_score_gemma":0.000022174985,"teacher_disagreement_score":0.94913846,"about_ca_system_score_codex":0.00013273687,"about_ca_system_score_gemma":0.0000012992006,"threshold_uncertainty_score":0.6166174},"labels":[],"label_agreement":null},{"id":"W4311034994","doi":"10.31557/apjcb.2016.1.1.17","title":"Mobile phone use and brain tumor: an age-period-cohort analysis of brain tumor rates in the Nordic population","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Period (music); Mobile phone; Brain tumor; Cohort; Population; Demography; Medicine; Internal medicine; Telecommunications; Pathology; Computer science; Sociology; Art","score_opus":0.08652820124038807,"score_gpt":0.44972081876219006,"score_spread":0.363192617521802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311034994","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":[0.98583746,0.002397121,0.010714998,0.000033665707,0.00013341503,0.000680313,0.000065370274,0.000045900095,0.00009176968],"genre_scores_gemma":[0.99850357,0.000628173,0.00048415305,0.0000782609,0.000052920932,0.0000937895,0.0000433582,0.000056402972,0.000059373815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976368,0.00038615902,0.00097621424,0.0003422209,0.00037718983,0.0002814235],"domain_scores_gemma":[0.9981459,0.00053203583,0.00051932293,0.00053875154,0.00014702606,0.0001169793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014826668,0.0002807168,0.0008446799,0.001240802,0.00009703509,0.00047968232,0.00090184336,0.00006633537,0.00058250985],"category_scores_gemma":[0.000467332,0.00020127236,0.00012248098,0.0019233681,0.00008465373,0.0036164692,0.00014024011,0.00017398631,0.0000019493261],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046414218,0.00007034536,0.720343,0.00005316329,0.0002948364,0.000024829587,0.0005619525,0.16375986,0.11120243,0.000012936557,0.00086727884,0.0027629794],"study_design_scores_gemma":[0.00050206133,0.000012115891,0.9799304,0.000254112,0.00018154537,0.000013961536,0.00017682143,0.013958643,0.00420023,0.00029101773,0.00015734417,0.00032174878],"about_ca_topic_score_codex":0.001174208,"about_ca_topic_score_gemma":0.0007420367,"teacher_disagreement_score":0.25958744,"about_ca_system_score_codex":0.00012197442,"about_ca_system_score_gemma":0.00002235524,"threshold_uncertainty_score":0.82076484},"labels":[],"label_agreement":null},{"id":"W4311313775","doi":"10.1109/iotais56727.2022.9975918","title":"Channel Estimation in Cellular Massive MIMO: A Data-Driven Approach","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thunder Bay Regional Research Institute; Lakehead University","funders":"","keywords":"Computer science; Estimator; MIMO; Minimum mean square error; Channel (broadcasting); Wireless; Perceptron; Algorithm; Heuristic; Multilayer perceptron; Signal-to-noise ratio (imaging); Mean squared error; Spectral efficiency; Artificial neural network; Real-time computing; Computer network; Machine learning; Artificial intelligence; Telecommunications; Statistics; Mathematics","score_opus":0.02129626946490769,"score_gpt":0.22542195896780604,"score_spread":0.20412568950289833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311313775","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":[0.001274116,0.0001054989,0.99271375,0.000021233722,0.0001705678,0.0003242067,0.00003350419,0.00025273225,0.005104399],"genre_scores_gemma":[0.93099666,0.0000042622096,0.067689486,0.000012606887,0.000022245622,0.0001528674,0.0008350194,0.000032671283,0.00025417376],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993371,0.000030364661,0.00018045821,0.00019498442,0.00011047594,0.00014661594],"domain_scores_gemma":[0.99956375,0.000014648732,0.00002750194,0.00035845695,0.0000099827985,0.000025628255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111939786,0.00009109942,0.00011255016,0.000119007236,0.000049212274,0.000012144772,0.00022398177,0.000026139687,0.00007368132],"category_scores_gemma":[0.000013317652,0.00010428299,0.000011574307,0.00028380487,0.000006038842,0.00027289617,0.00014752064,0.0001264712,0.000014117047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017271125,0.000017280545,0.000010846992,0.000031080726,0.000006363696,0.0000039731963,0.00028413927,0.99821174,0.00034031968,0.00022622847,0.00060650794,0.00025977884],"study_design_scores_gemma":[0.00022051553,0.000008057835,0.000009640562,0.0000038225153,0.000003642113,0.0000034714715,0.00050111685,0.9985868,0.00019408225,0.00008626269,0.00026549053,0.00011712182],"about_ca_topic_score_codex":0.000024100298,"about_ca_topic_score_gemma":0.0000072700677,"teacher_disagreement_score":0.92972255,"about_ca_system_score_codex":0.00014739779,"about_ca_system_score_gemma":0.0000092381215,"threshold_uncertainty_score":0.4252537},"labels":[],"label_agreement":null},{"id":"W4311414630","doi":"10.1109/lwc.2022.3210435","title":"Handling Interference in Integrated HAPS-Terrestrial Networks Through Radio Resource Management","year":2022,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Bottleneck; Radio resource management; Interference (communication); Resource management (computing); Wireless network; Subcarrier; Resource allocation; Wireless; Computer network; Distributed computing; Telecommunications; Orthogonal frequency-division multiplexing; Channel (broadcasting); Embedded system","score_opus":0.021262059762648968,"score_gpt":0.2388482222757694,"score_spread":0.21758616251312043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311414630","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":[0.03518588,0.00060302304,0.96025556,0.0007334471,0.0007334643,0.0005782871,0.000014392767,0.00043529188,0.0014606328],"genre_scores_gemma":[0.987559,0.00033072566,0.011005045,0.0002560456,0.000049508628,0.00048924173,0.000214133,0.00005700217,0.000039304665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986261,0.00028140907,0.00046770304,0.00021911916,0.00012086545,0.00028477842],"domain_scores_gemma":[0.99840516,0.00013442908,0.00008962243,0.0013264432,0.000011718253,0.000032613756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023726955,0.00018838725,0.00022088968,0.00019360372,0.00028389593,0.000053691354,0.0012136535,0.00004392032,0.000015492835],"category_scores_gemma":[0.000004743036,0.00023322468,0.000048395188,0.00072570454,0.000080198624,0.00022401003,0.0002990072,0.000670564,0.0000058340734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019495687,0.000032174237,0.00010415504,0.000013404775,0.00003696482,0.000007379042,0.00086926605,0.9910488,0.0011377247,0.0003093911,0.0022138776,0.0042073578],"study_design_scores_gemma":[0.0008092806,0.000013623711,0.000029772638,0.00013742347,0.000015963093,0.000010225522,0.0011425021,0.98249125,0.00016249288,0.000020382398,0.014867926,0.00029914183],"about_ca_topic_score_codex":0.000101636186,"about_ca_topic_score_gemma":0.000105882245,"teacher_disagreement_score":0.9523731,"about_ca_system_score_codex":0.0005108434,"about_ca_system_score_gemma":0.000008853242,"threshold_uncertainty_score":0.9510627},"labels":[],"label_agreement":null},{"id":"W4311681003","doi":"10.22215/etd/2022-15213","title":"Multi-Agent Deep Reinforcement Learning Assisted Pre-connect Handover Management","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Handover; Reinforcement learning; Computer science; Selection (genetic algorithm); Base station; Action selection; Selection algorithm; User equipment; Distributed computing; Computer network; Artificial intelligence","score_opus":0.009853149735521963,"score_gpt":0.24665466825707208,"score_spread":0.23680151852155013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311681003","genre_codex":"methods","genre_gemma":"other","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":[0.0009857127,0.0010017159,0.88034695,0.0000020700707,0.0025201957,0.0016820638,0.0000025299137,0.0012688196,0.112189926],"genre_scores_gemma":[0.40210515,0.0009925877,0.033491984,0.00003658751,0.00013721417,0.0019925274,0.010214905,0.00045661553,0.55057245],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99829817,0.00004494675,0.0005707391,0.00039065845,0.00034806118,0.00034745384],"domain_scores_gemma":[0.99933183,0.000029211084,0.00017308578,0.0003393895,0.00005241693,0.00007405248],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000137206,0.00041497214,0.0003551286,0.00027995816,0.00018467961,0.000061762046,0.000207409,0.00016276198,0.0027995175],"category_scores_gemma":[0.000020604122,0.0004641597,0.00013139518,0.00024699394,0.000004662149,0.00014844791,0.000051534018,0.00041819457,0.00008773584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030674917,0.000018341958,0.000012876821,0.0007154524,0.000282185,0.000014639907,0.0008465746,0.99133193,0.00032448405,0.00011990387,0.00047203887,0.0058308784],"study_design_scores_gemma":[0.0013080749,0.000056852576,0.0006606856,0.00016332055,0.00016528544,0.0000036501838,0.002814268,0.9699828,0.0007389495,0.0000040671507,0.023309218,0.0007927986],"about_ca_topic_score_codex":0.000034873166,"about_ca_topic_score_gemma":0.00020714175,"teacher_disagreement_score":0.846855,"about_ca_system_score_codex":0.00061805715,"about_ca_system_score_gemma":0.000011254596,"threshold_uncertainty_score":0.999781},"labels":[],"label_agreement":null},{"id":"W4311725852","doi":"10.48550/arxiv.2212.07606","title":"Multi-band Wireless Networks: Architectures, Challenges, and Comparative Analysis","year":2022,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer network; Software deployment; Physical layer; Visible light communication; Wireless; Transmission (telecommunications); Handover; Telecommunications; Electrical engineering; Engineering","score_opus":0.08120789256412879,"score_gpt":0.19981503951492371,"score_spread":0.11860714695079493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311725852","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":[0.114237785,0.007255338,0.87473875,0.0000058633236,0.00033253865,0.00047463708,0.00006409022,0.00044878718,0.0024421911],"genre_scores_gemma":[0.9936619,0.004850097,0.00093278015,0.0000052493397,0.000053819123,0.000005319468,0.000140459,0.000031020194,0.00031934594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986149,0.00014083725,0.00020480598,0.00071044057,0.00005120999,0.00027781207],"domain_scores_gemma":[0.99902797,0.00009605671,0.00013544326,0.00056352495,0.00005061218,0.00012641559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000115342926,0.00036706845,0.00062086876,0.00044187935,0.00012063601,0.00002627033,0.00032659495,0.00021220116,0.00004275119],"category_scores_gemma":[0.0000045878105,0.00046367644,0.00016196177,0.0005458325,0.00007530974,0.00006816191,0.00034372235,0.00070515985,0.0000026420594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019097823,0.000023289052,0.0006380283,0.00011393522,0.0010140641,0.00005316472,0.00070932816,0.9959573,0.000008548617,0.0012211181,0.000014359966,0.00022774556],"study_design_scores_gemma":[0.000390748,0.000014644576,0.001384739,0.000036292273,0.0005256521,0.0000018481161,0.00051340496,0.9962565,0.0000111679665,0.00020101093,0.00021882808,0.00044520633],"about_ca_topic_score_codex":0.000059558402,"about_ca_topic_score_gemma":0.00061392505,"teacher_disagreement_score":0.87942415,"about_ca_system_score_codex":0.0002477854,"about_ca_system_score_gemma":0.000018353181,"threshold_uncertainty_score":0.9997815},"labels":[],"label_agreement":null},{"id":"W4312051168","doi":"10.1109/tcomm.2022.3217575","title":"Constellation Design for Multiuser Non-Coherent Massive SIMO Based on DMPSK Modulation","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Agencia Estatal de Investigación; Secretaría de Estado de Investigación, Desarrollo e Innovación; HORIZON EUROPE Marie Sklodowska-Curie Actions; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Computer science; Bit error rate; Algorithm; Phase-shift keying; Keying; Channel (broadcasting); Constellation; Modulation (music); Reduction (mathematics); Theoretical computer science; Computer engineering; Decoding methods; Mathematics; Telecommunications","score_opus":0.038651794184268895,"score_gpt":0.2640161425969967,"score_spread":0.2253643484127278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312051168","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":[0.00028219153,0.00002858269,0.994871,0.0002788185,0.0005236748,0.0018814994,0.0002139923,0.00039997118,0.0015202534],"genre_scores_gemma":[0.9339795,0.000032463828,0.06446549,0.000075311014,0.000018283255,0.0010982252,0.00014335607,0.00007674248,0.00011061911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885005,0.00015731457,0.0003782327,0.00022175889,0.00019081775,0.00020185219],"domain_scores_gemma":[0.9977481,0.0007812655,0.000099696466,0.0012036313,0.00010521155,0.000062104664],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020640476,0.00020400663,0.00017901746,0.00030137863,0.0008920145,0.00003098836,0.0003742967,0.00007461923,0.00011845492],"category_scores_gemma":[0.0000061564824,0.0002525114,0.00011283342,0.00040324838,0.000045275927,0.00016604127,0.0000034426357,0.00034016932,0.00002222796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049821152,0.0001822403,0.000002556298,0.000017586473,0.000032761513,1.421756e-7,0.00020343048,0.9897282,0.0023719117,0.000060889426,0.00027615525,0.007074289],"study_design_scores_gemma":[0.0009439252,0.00014954904,0.000011909744,0.00002801079,0.00003973731,0.0000010557497,0.00017756727,0.99138194,0.0053357235,0.000115467556,0.001576921,0.00023820017],"about_ca_topic_score_codex":0.0000099511,"about_ca_topic_score_gemma":0.000018407574,"teacher_disagreement_score":0.93369734,"about_ca_system_score_codex":0.00050826813,"about_ca_system_score_gemma":0.00004901622,"threshold_uncertainty_score":0.9999927},"labels":[],"label_agreement":null},{"id":"W4312267651","doi":"10.1109/twc.2022.3224010","title":"Fully-Decoupled Radio Access Networks: A Flexible Downlink Multi-Connectivity and Dynamic Resource Cooperation Framework","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Radio access network; Telecommunications link; Beamforming; Base station; Computer network; Spectral efficiency; User equipment; Scheduling (production processes); Cellular network; Radio resource management; C-RAN; Distributed computing; Channel (broadcasting); Wireless; Wireless network; Mathematical optimization; Telecommunications; Mobile station","score_opus":0.021534528188504574,"score_gpt":0.2770324930511708,"score_spread":0.2554979648626662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312267651","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":[0.013062788,0.0009161792,0.9833522,0.00031305716,0.00039450737,0.00078785425,0.00011162929,0.0009314602,0.00013033809],"genre_scores_gemma":[0.981988,0.0013908419,0.015006364,0.000084535044,0.000020568676,0.0011448679,0.00009775956,0.000095000985,0.00017206163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984846,0.00029976986,0.0004313084,0.00032954814,0.0001608326,0.00029390724],"domain_scores_gemma":[0.9975868,0.0005677394,0.00009937393,0.0015515509,0.00008656028,0.00010799119],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00028084827,0.0002663416,0.0002956406,0.00027204663,0.0016128531,0.00014598206,0.0007868548,0.00013816927,0.00007273212],"category_scores_gemma":[0.000013293833,0.00033394058,0.00007894599,0.0009227342,0.00011728434,0.00052887027,0.00002889941,0.0010789523,0.0000076213223],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024562516,0.00019899856,0.000018673069,0.000024378285,0.000065197,6.3538675e-7,0.00049627427,0.98599297,0.000743495,0.00031139192,0.00004319708,0.012080214],"study_design_scores_gemma":[0.0005962286,0.000046908808,0.000097888,0.000057624595,0.000045596793,0.000021223965,0.00027412325,0.99728256,0.00037626788,0.0000581562,0.0008104617,0.0003329587],"about_ca_topic_score_codex":0.00005039817,"about_ca_topic_score_gemma":0.00041361625,"teacher_disagreement_score":0.96892524,"about_ca_system_score_codex":0.0004331729,"about_ca_system_score_gemma":0.000038796443,"threshold_uncertainty_score":0.99991125},"labels":[],"label_agreement":null},{"id":"W4312370603","doi":"10.1109/access.2022.3224197","title":"SLINR-Based Downlink Optimization in MU-MIMO Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telecommunications link; Computer science; Beamforming; Maximization; MIMO; Channel state information; Overhead (engineering); Mathematical optimization; Algorithm; Theoretical computer science; Mathematics; Wireless; Telecommunications","score_opus":0.013896268921023766,"score_gpt":0.2503536935684686,"score_spread":0.23645742464744482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312370603","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":[0.0054363944,0.00020789672,0.9909781,0.000034008783,0.001363475,0.00034283882,0.000010546566,0.00037528737,0.0012514394],"genre_scores_gemma":[0.9931218,0.000018379078,0.0060983677,0.00011868258,0.00014322337,0.0002419795,0.00012709762,0.000060647628,0.00006983343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990553,0.000056217315,0.0003008435,0.00020049198,0.00014010549,0.00024700997],"domain_scores_gemma":[0.99956393,0.0000533944,0.000059130023,0.00024840917,0.00003186878,0.000043244825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016060003,0.00014058904,0.0001623047,0.00015205916,0.00009440481,0.00005489667,0.00032519244,0.00006294766,0.0002545853],"category_scores_gemma":[0.000013710945,0.00017248129,0.000032239503,0.0007390444,0.00001050557,0.00038717757,0.00004650652,0.00025813605,0.0000053613016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000990524,0.000019971394,0.0012022693,0.000021787439,0.000005242704,0.000008823845,0.00003465975,0.99718225,0.0000602535,0.000014455483,0.0006143453,0.00082601083],"study_design_scores_gemma":[0.00050140405,0.000013094593,0.00013396621,0.000015345071,0.000004840418,0.0000021495143,0.00001867782,0.9982143,0.00031071654,0.000019952775,0.000575579,0.00018995148],"about_ca_topic_score_codex":0.000028448701,"about_ca_topic_score_gemma":0.00003973745,"teacher_disagreement_score":0.9876854,"about_ca_system_score_codex":0.0002436455,"about_ca_system_score_gemma":0.000020766938,"threshold_uncertainty_score":0.7033583},"labels":[],"label_agreement":null},{"id":"W4312392926","doi":"10.1109/tcomm.2022.3227304","title":"A POMDP-Based Approach to Joint Antenna Selection and User Scheduling for Multi-User Massive MIMO Communication","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Partially observable Markov decision process; Computer science; MIMO; Scheduling (production processes); Beamforming; Rayleigh fading; Base station; Channel (broadcasting); Channel state information; Mathematical optimization; Markov chain; Wireless; Markov model; Fading; Computer network; Telecommunications; Mathematics; Machine learning","score_opus":0.04856729260952792,"score_gpt":0.2736771149631247,"score_spread":0.22510982235359678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312392926","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":[0.0011102156,0.00028224333,0.9954292,0.0005786684,0.0001537157,0.0015676008,0.00016147712,0.0005024828,0.00021436872],"genre_scores_gemma":[0.60142845,0.00008820757,0.39530364,0.0000949425,0.0000075127955,0.002736775,0.00007459435,0.00006329952,0.00020254779],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987457,0.00019869707,0.00040631907,0.0002667338,0.00013788506,0.0002446724],"domain_scores_gemma":[0.9981855,0.00020130737,0.00008947731,0.0012427056,0.00017604898,0.0001049559],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00028672742,0.00021629276,0.00022475897,0.0003882027,0.0014106769,0.000058609432,0.00048886845,0.00007864461,0.000016455848],"category_scores_gemma":[0.000016871294,0.0002717567,0.000094436924,0.0006598833,0.000052154573,0.00023268319,0.0000147669725,0.0005050628,0.000006939545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000252639,0.00029113275,0.00000615251,0.00004162622,0.000051944793,4.0538087e-8,0.00056944636,0.98668957,0.010795823,0.0005957291,0.00010232005,0.0008309662],"study_design_scores_gemma":[0.0009087986,0.00007756748,0.00002459121,0.00003984443,0.00005658256,0.000007024694,0.00092348375,0.98924965,0.003990423,0.000028865768,0.00440996,0.00028320504],"about_ca_topic_score_codex":0.000049005423,"about_ca_topic_score_gemma":0.00013653813,"teacher_disagreement_score":0.60031825,"about_ca_system_score_codex":0.00038636627,"about_ca_system_score_gemma":0.00004515786,"threshold_uncertainty_score":0.9999735},"labels":[],"label_agreement":null},{"id":"W4312406811","doi":"10.1109/ants52808.2021.9936938","title":"Adaptive Sparse Aware Algorithm based Channel Estimation for mmWave Hybrid MIMO System","year":2021,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Indian Institute of Technology Indore","keywords":"MIMO; Channel (broadcasting); Computer science; Estimator; Spectral efficiency; Convergence (economics); Precoding; Algorithm; Wireless; Electronic engineering; Telecommunications; Mathematics; Engineering; Statistics","score_opus":0.01604191218312391,"score_gpt":0.21946146263298827,"score_spread":0.20341955044986437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312406811","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":[0.000057684778,0.00013820376,0.9964534,0.00002583989,0.0006301207,0.00056369725,0.00013224485,0.0007719702,0.0012268199],"genre_scores_gemma":[0.50989866,0.000003108299,0.48878375,0.000030541298,0.00013576423,0.0002391622,0.0003430717,0.000072917595,0.0004930228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911875,0.000022250904,0.00027566912,0.0002397531,0.00010960364,0.0002339786],"domain_scores_gemma":[0.99931383,0.00008124311,0.00004957182,0.000242458,0.00024028432,0.00007258787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085884036,0.00018098594,0.00022527724,0.00007460556,0.000067569206,0.00003187156,0.00006128496,0.00006446743,0.000018955761],"category_scores_gemma":[0.000032517368,0.00019690646,0.000071097806,0.00016199982,0.000008574136,0.00021508186,0.000012701223,0.00006109909,0.000035361354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042805177,0.000009924864,7.956053e-7,0.00023671432,0.000025236746,0.000014001597,0.00003047514,0.99285984,0.00012883519,0.00033073672,0.0006782279,0.0056809383],"study_design_scores_gemma":[0.0005432754,0.000023870989,0.0000028336597,0.0001533328,0.00002314411,0.00002451072,0.00041663443,0.97305113,0.025338514,0.000060702794,0.000147183,0.00021488585],"about_ca_topic_score_codex":0.0000080524505,"about_ca_topic_score_gemma":0.000008639013,"teacher_disagreement_score":0.50984097,"about_ca_system_score_codex":0.00022973295,"about_ca_system_score_gemma":0.00004046572,"threshold_uncertainty_score":0.80296123},"labels":[],"label_agreement":null},{"id":"W4312531353","doi":"10.1109/pimrc54779.2022.9977597","title":"An AP Selection Strategy Based on Congestion Game for User-Centric Cell-Free Massive MIMO","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; MIMO; Selection (genetic algorithm); Computer network; Distributed computing; Artificial intelligence","score_opus":0.011309168380905867,"score_gpt":0.25801602684001634,"score_spread":0.24670685845911047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312531353","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":[0.53556496,0.0058111073,0.35385,0.009424953,0.013529018,0.019764958,0.031042617,0.0045989873,0.026413402],"genre_scores_gemma":[0.9916801,0.0005126262,0.0017079429,0.00022716814,0.00022995938,0.0031322422,0.0016801541,0.00010128681,0.000728544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796975,0.0002525408,0.0004827466,0.0004929792,0.00046837513,0.0003335994],"domain_scores_gemma":[0.99813616,0.00039352357,0.00020587497,0.0008095095,0.00029786068,0.0001570437],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032631351,0.00034638154,0.00028372128,0.00041810708,0.0006507033,0.00012771614,0.001025838,0.00012635453,0.00016761104],"category_scores_gemma":[0.000031517156,0.00041164062,0.00013257416,0.00042773888,0.000088235414,0.00046692998,0.000097202574,0.0005758565,0.0000091481215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022546692,0.00063557574,0.00024634987,0.000046624304,0.00008129902,0.0000020853997,0.0011133442,0.98321736,0.0069324,0.0011120643,0.0048875296,0.001499899],"study_design_scores_gemma":[0.002427113,0.001300011,0.00021535439,0.00003861794,0.000055075972,0.000022249533,0.0018688459,0.94862705,0.0017651151,0.00005614127,0.043127578,0.0004968435],"about_ca_topic_score_codex":0.000052585725,"about_ca_topic_score_gemma":0.000035174286,"teacher_disagreement_score":0.45611513,"about_ca_system_score_codex":0.00088686653,"about_ca_system_score_gemma":0.0000782967,"threshold_uncertainty_score":0.9998335},"labels":[],"label_agreement":null},{"id":"W4312760878","doi":"10.1109/tgcn.2022.3223622","title":"On the Economic Viability of Solar Energy When Upgrading Cellular Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Carbon footprint; Cellular network; Greenhouse gas; Base station; Renewable energy; Computer science; Software deployment; Photovoltaic system; Environmental economics; Grid; Environmental science; Computer network; Engineering; Electrical engineering; Economics","score_opus":0.016225721867616713,"score_gpt":0.20148457942498033,"score_spread":0.1852588575573636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312760878","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":[0.002860872,0.0010826207,0.994444,0.00018581732,0.00039002928,0.00019892334,0.000020982206,0.00010492512,0.00071181223],"genre_scores_gemma":[0.99777114,0.00091560057,0.00092002697,0.00006631987,0.00004618684,0.00017803482,0.000010667471,0.000036575697,0.000055450535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907696,0.00021025493,0.00031681813,0.0001516597,0.00007605209,0.00016827694],"domain_scores_gemma":[0.99830425,0.0005635413,0.00008610048,0.0009926218,0.000016396538,0.000037104663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033249558,0.00013805047,0.00016879881,0.00009106065,0.0008503675,0.000020341255,0.0004160833,0.000046083496,0.000059216844],"category_scores_gemma":[2.8842348e-7,0.00013717808,0.00007317416,0.0001748813,0.00008188312,0.00007889582,0.000013755832,0.00038205995,9.8174e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000875155,0.000023937711,0.000011311987,0.000006212856,0.00004689014,1.3378349e-7,0.00020360127,0.95207316,0.00011155383,0.0007075201,0.000077275414,0.046729654],"study_design_scores_gemma":[0.00012450825,0.000047694135,0.0000014502338,0.000025732686,0.000024867975,0.0000027589122,0.00009780168,0.9929131,0.0003134888,0.00095442357,0.005368515,0.00012560899],"about_ca_topic_score_codex":0.0002393939,"about_ca_topic_score_gemma":0.00023014692,"teacher_disagreement_score":0.99491024,"about_ca_system_score_codex":0.00020745514,"about_ca_system_score_gemma":0.000013584677,"threshold_uncertainty_score":0.6540425},"labels":[],"label_agreement":null},{"id":"W4312765029","doi":"10.1109/lcomm.2022.3211451","title":"On the Ergodic Mutual Information of Keyhole MIMO Channels With Finite-Alphabet Inputs","year":2022,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Ergodic theory; Mutual information; Transmission (telecommunications); Keyhole; Computer science; Ergodicity; Transmitter; Precoding; Channel (broadcasting); Topology (electrical circuits); MIMO; Algorithm; Mathematics; Telecommunications; Statistics; Mathematical analysis; Engineering; Artificial intelligence","score_opus":0.013926756940194811,"score_gpt":0.20769952391789565,"score_spread":0.19377276697770082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312765029","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":[0.23992294,0.0002446653,0.7383705,0.0134758735,0.00079639454,0.0014447981,0.00020169718,0.0005762767,0.0049668807],"genre_scores_gemma":[0.99618167,0.000022661132,0.0020383652,0.0012678223,0.000013756907,0.0003161827,0.00011876278,0.000021617305,0.000019186227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992519,0.00011483243,0.00026796566,0.00006241304,0.00017294675,0.00012992928],"domain_scores_gemma":[0.99831784,0.0003442631,0.00011475142,0.0011576873,0.00004322891,0.00002222584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018184283,0.00010815301,0.00011112761,0.00014913223,0.00028327666,0.000021582455,0.00069892785,0.000021528373,0.000028812214],"category_scores_gemma":[0.0000324077,0.000093441435,0.000030328503,0.00042415774,0.00008364372,0.00028597485,0.00009172298,0.000281673,0.000028096441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008737014,0.000018326666,0.00002563153,0.000014429646,0.000024799456,1.9119032e-7,0.0016477493,0.990108,0.0017177422,0.001018427,0.0051808287,0.00023513696],"study_design_scores_gemma":[0.001405329,0.00026333443,0.00014787649,0.00015044138,0.00005451045,0.000020466425,0.0016844042,0.92989284,0.009520638,0.00018195082,0.056028567,0.0006496339],"about_ca_topic_score_codex":0.000011248658,"about_ca_topic_score_gemma":0.0000061759724,"teacher_disagreement_score":0.7562587,"about_ca_system_score_codex":0.000109047425,"about_ca_system_score_gemma":0.000013879752,"threshold_uncertainty_score":0.3810431},"labels":[],"label_agreement":null},{"id":"W4313365403","doi":"10.1109/nana56854.2022.00007","title":"Keynotes","year":2022,"lang":"en","type":"article","venue":"2022 International Conference on Networking and Network Applications (NaNA)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Provisioning; Architecture; Computer network; Leverage (statistics); Base station; Telecommunications; Key (lock); Computer security","score_opus":0.01742813299754198,"score_gpt":0.24361193390330685,"score_spread":0.22618380090576487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313365403","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":[0.002381984,0.003988457,0.80296034,0.0015673796,0.00442281,0.001414644,0.00012694891,0.0013668804,0.18177055],"genre_scores_gemma":[0.9932247,0.0011141746,0.0017757611,0.00017468509,0.0011255267,0.0012378924,0.00023521489,0.00004486128,0.0010671748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891675,0.00004236138,0.00025105922,0.000300116,0.00023899092,0.0002507326],"domain_scores_gemma":[0.9994638,0.000082927196,0.00008372486,0.00024369103,0.000059390983,0.000066448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019738407,0.00016661995,0.00015383767,0.00010205954,0.00044935403,0.00006849808,0.00030487002,0.00004193231,0.0003765342],"category_scores_gemma":[0.0000035151913,0.00019842954,0.000039258714,0.00037039086,0.00003522982,0.000075975775,0.00012844572,0.00031428557,0.000019697556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011947503,0.00001873729,0.00033514938,0.0000061147402,0.000047979367,0.0000015171582,0.000053086576,0.84248775,0.00009658618,0.11311753,0.00866295,0.03516067],"study_design_scores_gemma":[0.0001977855,0.000031899555,0.00009136322,0.00002451586,0.000011380881,0.000015289086,0.00011151231,0.68905693,0.000011668726,0.00822265,0.30198058,0.00024443096],"about_ca_topic_score_codex":0.000004692452,"about_ca_topic_score_gemma":0.000009427246,"teacher_disagreement_score":0.9908427,"about_ca_system_score_codex":0.00013657587,"about_ca_system_score_gemma":0.000018923762,"threshold_uncertainty_score":0.80917215},"labels":[],"label_agreement":null},{"id":"W4313427414","doi":"10.1109/jiot.2022.3233414","title":"Heterogeneous Ultradense Networks With Traffic Hotspots: A Unified Handover Analysis","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Handover; Poisson point process; Computer science; Stochastic geometry; Heterogeneous network; Computer network; Base station; Hotspot (geology); Cellular network; Poisson distribution; Wireless; Point process; Coverage probability; Waypoint; Mobile telephony; Wireless network; Real-time computing; Telecommunications; Mobile radio; Mathematics; Statistics","score_opus":0.008552127299983205,"score_gpt":0.21159797842985925,"score_spread":0.20304585112987605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313427414","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":[0.49315557,0.00017195249,0.5057779,0.00001328768,0.0004668596,0.000073712436,0.0000019491931,0.00022539623,0.00011336323],"genre_scores_gemma":[0.99717224,0.00014690116,0.0020922904,0.000023145552,0.00012856867,0.0000043723785,0.0000062439894,0.000054677548,0.00037155836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988135,0.000038354094,0.00046894405,0.00015167624,0.00023142381,0.00029609134],"domain_scores_gemma":[0.999333,0.00006829057,0.000204844,0.00017892271,0.00010325669,0.00011163558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023497907,0.00019341065,0.00037652024,0.00050841057,0.00003717658,0.00008207678,0.00023876682,0.0000983888,0.00004273628],"category_scores_gemma":[0.000017747418,0.00016439911,0.00018549904,0.00094927143,0.000036288402,0.00030439705,0.000010828443,0.0003457135,0.000012038566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006623159,0.000010096216,0.00018255404,0.00002256627,0.000971557,0.00012790383,0.0012082504,0.99498296,0.000979817,0.0000023425039,0.0006951254,0.00075059466],"study_design_scores_gemma":[0.0005476068,0.00008694678,0.00012079758,0.00014239083,0.00026532225,0.00046264823,0.00009929132,0.995144,0.0028563382,0.000009143779,0.0000727592,0.00019275768],"about_ca_topic_score_codex":0.0000112002235,"about_ca_topic_score_gemma":0.00001715153,"teacher_disagreement_score":0.50401664,"about_ca_system_score_codex":0.0000928727,"about_ca_system_score_gemma":0.000011081386,"threshold_uncertainty_score":0.67040014},"labels":[],"label_agreement":null},{"id":"W4313524893","doi":"10.1109/latincom56090.2022.10000560","title":"Learned Preconditioned Conjugate Gradient Descent for Massive MIMO Detection","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conjugate gradient method; MIMO; Algorithm; Rayleigh fading; Computer science; Gradient descent; Preconditioner; Residual; Fading; Iterative method; Mathematics; Artificial neural network; Telecommunications; Channel (broadcasting); Artificial intelligence; Decoding methods","score_opus":0.01394979434567018,"score_gpt":0.22135477584685792,"score_spread":0.20740498150118775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313524893","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":[0.017338779,0.00006073812,0.9792322,0.000047315047,0.0008731784,0.0008168192,0.000037099602,0.00051694806,0.0010769381],"genre_scores_gemma":[0.9929771,0.000008499842,0.0049954,0.00002937292,0.00004778013,0.00091665867,0.00007821082,0.00003893555,0.0009080745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994115,0.000022502694,0.00017613308,0.0001478879,0.00007270339,0.00016923621],"domain_scores_gemma":[0.99974006,0.000030893843,0.00003904407,0.00011516602,0.000034474615,0.000040342547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007998641,0.0000939103,0.00009968694,0.00007827378,0.00019038244,0.000014291899,0.000055738878,0.00002430325,0.00022632453],"category_scores_gemma":[0.000015437325,0.000107682965,0.000046273097,0.00011571546,0.0000075509224,0.00011559372,0.000018993007,0.00007781378,0.000013680485],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019872608,0.00001306419,0.000010402378,0.000034957327,0.000023283475,6.4382635e-7,0.00015570363,0.9789216,0.017584212,0.00045712903,0.0004475329,0.00233161],"study_design_scores_gemma":[0.0012552975,0.00021597646,0.00005891505,0.0000083177265,0.00002430187,0.000015991689,0.0008248284,0.8830221,0.100438714,0.001230785,0.012591523,0.00031323681],"about_ca_topic_score_codex":0.000005378357,"about_ca_topic_score_gemma":0.000022718896,"teacher_disagreement_score":0.9756383,"about_ca_system_score_codex":0.00030060834,"about_ca_system_score_gemma":0.000006559197,"threshold_uncertainty_score":0.4391184},"labels":[],"label_agreement":null},{"id":"W4313598794","doi":"10.1109/tvt.2022.3229312","title":"Two Stage Beamforming in Massive MIMO: A Combinatorial Multi-Armed Bandit Based Approach","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Beamforming; Overhead (engineering); MIMO; Mathematical optimization; Selection (genetic algorithm); Telecommunications link; Control theory (sociology); Computer science; Covariance matrix; Algorithm; Channel (broadcasting); Integer (computer science); Mathematics; Telecommunications; Artificial intelligence","score_opus":0.012800329978239749,"score_gpt":0.2410753765141751,"score_spread":0.22827504653593536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313598794","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0414093,0.000034651923,0.95439816,0.00006223197,0.00096682546,0.00065855606,0.000035997677,0.0023304366,0.00010387329],"genre_scores_gemma":[0.9808982,0.000022914855,0.018280761,0.000011297669,0.000022457081,0.00056150794,0.000028300832,0.00008607364,0.00008846293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863565,0.00003751774,0.00036040883,0.0003555646,0.00015325281,0.000457601],"domain_scores_gemma":[0.99937654,0.000055914577,0.00005127479,0.00041475688,0.000046727957,0.000054770353],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014663608,0.00025847266,0.0003212227,0.0013574937,0.000110664936,0.000015899494,0.00021620994,0.00038976473,0.000015769227],"category_scores_gemma":[0.00001398323,0.00029465713,0.000086293876,0.0018931427,0.00008183716,0.00014694004,0.0000021917658,0.0005951292,0.0000662461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014569817,0.00010065641,0.00002637573,0.00006915076,0.00003403166,0.000040996565,0.00007542842,0.98538905,0.012707973,0.000245582,0.000009089135,0.0012870841],"study_design_scores_gemma":[0.0029654466,0.000054129843,0.0000075651924,0.000055470333,0.00001810902,0.000006342878,0.0003907287,0.92574745,0.07005935,0.00009850056,0.00030693013,0.00028994086],"about_ca_topic_score_codex":0.000023430675,"about_ca_topic_score_gemma":0.000055677883,"teacher_disagreement_score":0.93948895,"about_ca_system_score_codex":0.00028554388,"about_ca_system_score_gemma":0.000030491274,"threshold_uncertainty_score":0.9999505},"labels":[],"label_agreement":null},{"id":"W4315629987","doi":"10.1109/globecom48099.2022.10001658","title":"Federated Deep Reinforcement Learning for Resource Allocation in O-RAN Slicing","year":2022,"lang":"en","type":"article","venue":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Radio access network; Latency (audio); Distributed computing; Cellular network; Flexibility (engineering); Computer network; Deep learning; Artificial intelligence; Base station; Telecommunications","score_opus":0.02583570512000805,"score_gpt":0.26949664299756537,"score_spread":0.24366093787755733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315629987","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":[0.00751325,0.001504422,0.9689638,0.00064435916,0.0004999501,0.001729582,0.000067165645,0.000686158,0.018391334],"genre_scores_gemma":[0.99243623,0.0002835089,0.0041146814,0.00011222948,0.000025971796,0.0014631975,0.0011784456,0.000042380918,0.00034336225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978639,0.00035558056,0.00070370955,0.000344535,0.0002867645,0.0004454999],"domain_scores_gemma":[0.9984491,0.00018720244,0.0001916742,0.00093128684,0.00015394995,0.00008681615],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005883537,0.0002654347,0.00030678304,0.00016622244,0.0010371243,0.000108392014,0.001028829,0.00007715204,0.00019293757],"category_scores_gemma":[0.00013159007,0.00036543346,0.0000759537,0.0011611541,0.0000544987,0.00026535755,0.00045761242,0.00060254167,0.000015802287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027857786,0.000042294134,0.0004159301,0.00003840544,0.00003144739,9.561954e-7,0.0006052731,0.98746973,0.0009285569,0.003964193,0.00097276154,0.005502601],"study_design_scores_gemma":[0.0007466293,0.00007925755,0.00013466693,0.000036407357,0.000018842637,0.000011634387,0.0039354386,0.9706733,0.00010063779,0.00028716453,0.02362464,0.00035133393],"about_ca_topic_score_codex":0.0003269867,"about_ca_topic_score_gemma":0.0013597778,"teacher_disagreement_score":0.98492295,"about_ca_system_score_codex":0.0015717014,"about_ca_system_score_gemma":0.00010510929,"threshold_uncertainty_score":0.9998798},"labels":[],"label_agreement":null},{"id":"W4315777365","doi":"10.1109/gcwkshps56602.2022.10008786","title":"Performance Analysis of Cell-Free Massive MIMO Systems with Asynchronous Reception","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Globecom Workshops (GC Wkshps)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Asynchronous communication; MIMO; Orthogonality; Computer science; Telecommunications link; Transmission (telecommunications); Spectral efficiency; Electronic engineering; Channel (broadcasting); Local oscillator; Topology (electrical circuits); Telecommunications; Mathematics; Engineering; Electrical engineering","score_opus":0.005770705817337103,"score_gpt":0.1918678644785714,"score_spread":0.1860971586612343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315777365","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":[0.5536488,0.0020765176,0.4287607,0.000048248938,0.0032727465,0.0014630631,0.0004502946,0.00085248094,0.009427101],"genre_scores_gemma":[0.9950968,0.00023420002,0.003013863,0.000014710575,0.00012509809,0.0003990854,0.0002541769,0.000101871265,0.0007601678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975918,0.00014875593,0.00070357387,0.00047452684,0.0005919514,0.00048938266],"domain_scores_gemma":[0.9982439,0.000101619116,0.00035486877,0.0010516006,0.00013177095,0.000116238974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030657934,0.00037321556,0.0007128455,0.00063887914,0.00027766015,0.00004530381,0.0006074904,0.00011621777,0.00052689295],"category_scores_gemma":[0.00001592121,0.00039814098,0.00017507073,0.0033266502,0.000052581847,0.0003314785,0.00013476337,0.00045047366,0.000020735197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006265671,0.00006434256,0.0022545746,0.00019065727,0.0005756253,0.000010950349,0.00044994592,0.9904757,0.0019184655,0.000029669332,0.0030158085,0.000951597],"study_design_scores_gemma":[0.0008313334,0.00017471984,0.00108093,0.000067011635,0.0006898545,0.000016782007,0.0019984671,0.9927986,0.0008188573,0.0000049501996,0.0009820675,0.0005363753],"about_ca_topic_score_codex":0.000056990033,"about_ca_topic_score_gemma":0.000074786294,"teacher_disagreement_score":0.44144797,"about_ca_system_score_codex":0.0008067891,"about_ca_system_score_gemma":0.000051458825,"threshold_uncertainty_score":0.99984705},"labels":[],"label_agreement":null},{"id":"W4315783319","doi":"10.1109/gcwkshps56602.2022.10008501","title":"Minimum Union Bound Symbol Error Probability Precoding for PSK Modulation and Phase Quantization","year":2022,"lang":"en","type":"article","venue":"2022 IEEE Globecom Workshops (GC Wkshps)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Agence Nationale de la Recherche","keywords":"Precoding; Phase-shift keying; Quantization (signal processing); Algorithm; MIMO; Modulation (music); Mathematics; Probability of error; Computer science; Minification; Symbol (formal); Bit error rate; Upper and lower bounds; Mathematical optimization; Decoding methods; Telecommunications; Channel (broadcasting)","score_opus":0.025305675238678778,"score_gpt":0.2752554984521729,"score_spread":0.24994982321349413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315783319","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":[0.29385266,0.00039575621,0.70093393,0.0001134921,0.0018961225,0.0019623842,0.00014910061,0.0004998297,0.00019673492],"genre_scores_gemma":[0.9897011,0.00004382756,0.0082668,0.000029798755,0.00021274551,0.0008469128,0.00048738573,0.00010382077,0.0003075996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979513,0.00017538601,0.00061735447,0.0005523314,0.0002736917,0.00042988211],"domain_scores_gemma":[0.9990117,0.00017442009,0.00018150583,0.0004200516,0.00009936278,0.00011298468],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00073474215,0.00031564408,0.0003549121,0.00019517714,0.0005738744,0.00010235357,0.00019444813,0.00012657567,0.00012177664],"category_scores_gemma":[0.000108229964,0.0003925299,0.00009162302,0.00065143907,0.000040553732,0.00055694266,0.00008072992,0.0002726094,0.000004027268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008653803,0.00011773447,0.00046418476,0.00023299718,0.00004564631,0.0000014008614,0.0006428783,0.97537154,0.0066017318,0.0003651203,0.0020336825,0.014036571],"study_design_scores_gemma":[0.0017294709,0.0001224868,0.00021337376,0.000043805063,0.000048939477,0.000014803374,0.0005862758,0.9923608,0.0005736747,0.001561585,0.0023093477,0.00043544275],"about_ca_topic_score_codex":0.00001184453,"about_ca_topic_score_gemma":0.00005181365,"teacher_disagreement_score":0.69584846,"about_ca_system_score_codex":0.00057660096,"about_ca_system_score_gemma":0.00003627607,"threshold_uncertainty_score":0.99985266},"labels":[],"label_agreement":null},{"id":"W4316829811","doi":"10.48550/arxiv.2301.05316","title":"Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Reinforcement learning; Computer science; Traffic classification; Quality of service; Heuristic; Throughput; Baseline (sea); Traffic flow (computer networking); Real-time computing; Mechanism (biology); Mode (computer interface); Computer network; Artificial intelligence; Wireless; Telecommunications; Human–computer interaction","score_opus":0.10533256833175327,"score_gpt":0.2128337713547315,"score_spread":0.10750120302297823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316829811","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":[0.0898221,0.00007597721,0.9065529,0.0000013266474,0.001265255,0.0008832035,0.0000046247,0.0013042126,0.000090359914],"genre_scores_gemma":[0.9914891,0.00017485177,0.0061851013,0.0000035227017,0.00010056157,0.000009947667,0.00010298041,0.00019469258,0.0017392294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984501,0.000036810135,0.0003346755,0.0006341291,0.00006531643,0.00047897696],"domain_scores_gemma":[0.9990875,0.000071202194,0.000179561,0.00042737718,0.00010902682,0.00012531658],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001544341,0.000409479,0.00038866143,0.00033906306,0.00018404626,0.00005691621,0.00034149355,0.00031179585,0.000009203766],"category_scores_gemma":[0.000046299054,0.00056919054,0.00018738862,0.00032818806,0.000026879994,0.00025356977,0.00019019668,0.00046053022,0.000033645258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017180846,0.000010502979,0.00021928488,0.00055212615,0.00014725038,0.000031099426,0.00023321451,0.99815786,0.00034861246,0.000114197515,0.0000127237745,0.00015593263],"study_design_scores_gemma":[0.0008158966,0.000022363753,0.000013310594,0.00030793902,0.00011334454,0.0000014861432,0.00027082796,0.99740547,0.00038227485,0.0000468585,0.00009750775,0.0005227015],"about_ca_topic_score_codex":0.000034335528,"about_ca_topic_score_gemma":0.00006337241,"teacher_disagreement_score":0.901667,"about_ca_system_score_codex":0.000846794,"about_ca_system_score_gemma":0.00003832046,"threshold_uncertainty_score":0.9996759},"labels":[],"label_agreement":null},{"id":"W4317419001","doi":"10.1109/vtc2022-fall57202.2022.10012900","title":"Reinforcement Learning based Multi-connectivity Resource Allocation in Factory Automation Systems","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 96th Vehicular Technology Conference (VTC2022-Fall)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Payload (computing); Computer science; Robot; Distributed computing; Resource allocation; Computer network; Latency (audio); Reliability (semiconductor); Real-time computing; Artificial intelligence; Power (physics); Network packet; Telecommunications","score_opus":0.013842231529051873,"score_gpt":0.2211259259825414,"score_spread":0.20728369445348954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317419001","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":[0.25902298,0.00049506704,0.73594093,0.00016979863,0.00065990665,0.0012594613,0.000013415808,0.002123666,0.0003147559],"genre_scores_gemma":[0.9965637,0.000031111693,0.0011885152,0.00003563573,0.000033071014,0.0014848704,0.0002504597,0.000094633106,0.00031800856],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99710095,0.00032456772,0.0007802287,0.0006758837,0.00049723143,0.00062115747],"domain_scores_gemma":[0.99865764,0.00009537612,0.0003143603,0.00071192894,0.00014177355,0.000078933546],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008167402,0.00042772834,0.0005301,0.0011506435,0.00041153713,0.00006021085,0.00055817363,0.00037945737,0.00007933879],"category_scores_gemma":[0.00017724218,0.00053966953,0.000087612076,0.0014075628,0.000091368885,0.00032495338,0.00016433606,0.0014464473,0.000032531072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015274734,0.000066760425,0.0030289895,0.00013194767,0.00004446893,0.00003122498,0.0003214722,0.978452,0.01549634,0.0010799469,0.00007755804,0.0012539723],"study_design_scores_gemma":[0.0012235626,0.00013852498,0.0004055045,0.00009114698,0.000023572726,0.000022802735,0.0022344894,0.98892206,0.002797604,0.000051312574,0.0035563887,0.0005330473],"about_ca_topic_score_codex":0.00022633506,"about_ca_topic_score_gemma":0.00025298362,"teacher_disagreement_score":0.7375407,"about_ca_system_score_codex":0.0014744683,"about_ca_system_score_gemma":0.00014075154,"threshold_uncertainty_score":0.9997055},"labels":[],"label_agreement":null},{"id":"W4317795075","doi":"10.1109/twc.2022.3231625","title":"Fully-Decoupled Radio Access Networks: A Resilient Uplink Base Stations Cooperative Reception Framework","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Base station; Power control; Radio access network; Computer network; Fading; Transmission (telecommunications); C-RAN; Channel (broadcasting); Telecommunications; Power (physics); Mobile station","score_opus":0.03168584902688445,"score_gpt":0.299100136093683,"score_spread":0.2674142870667986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317795075","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":[0.005005939,0.00020811036,0.9894128,0.0006717623,0.000939576,0.0010093781,0.0001416428,0.0022184462,0.0003923603],"genre_scores_gemma":[0.97472507,0.0066244956,0.016199065,0.00007186697,0.00006702264,0.0014585853,0.00032556057,0.0001411203,0.00038720472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980768,0.00022549328,0.00066979544,0.0003698149,0.00021817144,0.00043993356],"domain_scores_gemma":[0.9963985,0.0009504547,0.00011714288,0.0020768717,0.00028179897,0.0001752208],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002809444,0.00034073027,0.00033692084,0.00053241535,0.0010036129,0.00017424946,0.0009568404,0.00025434102,0.00014405379],"category_scores_gemma":[0.00003118828,0.0003964721,0.00013309988,0.002607653,0.00016098312,0.0007287822,0.000013758104,0.0008629302,0.00030960483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019435547,0.00012273226,0.000012713817,0.000030172545,0.000091247544,0.0000012852006,0.0007886327,0.98688835,0.00064857624,0.0008674155,0.0009971083,0.009532358],"study_design_scores_gemma":[0.00042783513,0.00004400871,0.00009328436,0.00024233155,0.00005664864,0.0000043042164,0.00045182722,0.99609613,0.0014271659,0.00021960435,0.0005397447,0.00039713623],"about_ca_topic_score_codex":0.000034737368,"about_ca_topic_score_gemma":0.00042867032,"teacher_disagreement_score":0.97321373,"about_ca_system_score_codex":0.000379126,"about_ca_system_score_gemma":0.00006820424,"threshold_uncertainty_score":0.9998487},"labels":[],"label_agreement":null},{"id":"W4318023071","doi":"10.1007/978-3-031-25211-2_4","title":"Resource Management in Device-to-Device Communications","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","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 Lethbridge","funders":"","keywords":"Computer science; Underlay; Interference (communication); Rounding; Mathematical optimization; Channel (broadcasting); Resource allocation; Shared resource; Algorithm; Telecommunications; Computer network; Signal-to-noise ratio (imaging); Mathematics","score_opus":0.02589829707835005,"score_gpt":0.26254048596609,"score_spread":0.2366421888877399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318023071","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":[0.000010474561,0.00030010383,0.9724104,0.0002603895,0.0004683311,0.000622468,0.0000050295234,0.00034827882,0.025574569],"genre_scores_gemma":[0.07214716,0.00038010196,0.9232848,0.0010234709,0.0002935792,0.00012616212,0.000054311455,0.0002444346,0.0024459409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983488,0.000017231147,0.00042037756,0.000532287,0.00030887302,0.00037243497],"domain_scores_gemma":[0.9981608,0.00023735399,0.000065196575,0.0013964977,0.000057833524,0.0000823246],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039973223,0.00029418705,0.00029376533,0.0009946015,0.0000891437,0.00008934337,0.0015627578,0.00015864847,0.000005112905],"category_scores_gemma":[0.000027290615,0.0003296724,0.00003667273,0.00095501804,0.00012975265,0.0001442586,0.0007908937,0.0004862404,0.00014437232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.8543055e-7,0.000003357758,0.000009028624,0.000068760535,0.0000060248663,0.0000146333405,0.00035271436,0.88141596,0.000013738273,0.0018749863,0.000026806822,0.11621308],"study_design_scores_gemma":[0.0001960891,0.00002162424,0.000103085644,0.0012728639,0.000009281766,0.000007418404,0.0000022502738,0.97055435,0.00007487791,0.008419042,0.01874733,0.00059178274],"about_ca_topic_score_codex":0.000011563939,"about_ca_topic_score_gemma":0.00049967435,"teacher_disagreement_score":0.1156213,"about_ca_system_score_codex":0.00045536645,"about_ca_system_score_gemma":0.000030032032,"threshold_uncertainty_score":0.99991554},"labels":[],"label_agreement":null},{"id":"W4318068500","doi":"","title":"Network-aware User Association in Public Safety Oriented Mobile Networks","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Association (psychology); Computer security; Computer network; Psychology","score_opus":0.008238599897216018,"score_gpt":0.20773643995583874,"score_spread":0.19949784005862273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318068500","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":[0.012439541,0.00043858908,0.9548599,0.0010299925,0.00050835375,0.0005014893,0.000015242773,0.00044632834,0.02976054],"genre_scores_gemma":[0.9861802,0.0003936108,0.008907793,0.000026376087,0.000054891858,0.00010067966,0.00021075395,0.000056845314,0.004068835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975178,0.0010402901,0.0004489688,0.00032159954,0.00021270379,0.00045859773],"domain_scores_gemma":[0.9968272,0.00052749756,0.00033732087,0.0013493191,0.00084452797,0.00011413077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030981463,0.00019626874,0.0002497211,0.00009422284,0.0005309766,0.00032848935,0.00061287155,0.00020910367,0.00006894205],"category_scores_gemma":[0.000997543,0.00023085733,0.00006510742,0.00033293536,0.000051830342,0.000643915,0.00020207545,0.0003166066,0.000027626957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013481955,0.00021198991,0.11975965,0.00006967991,0.00008298763,0.000005626386,0.0020196608,0.8087959,0.000276832,0.033181638,0.00402848,0.031554025],"study_design_scores_gemma":[0.0011072684,3.7969946e-7,0.021819275,0.00059462606,0.00001494081,0.000002989803,0.00008804086,0.9296751,0.00091339543,0.00029302452,0.045034286,0.0004566847],"about_ca_topic_score_codex":0.00018677932,"about_ca_topic_score_gemma":0.0031300324,"teacher_disagreement_score":0.9737407,"about_ca_system_score_codex":0.0004526711,"about_ca_system_score_gemma":0.000040491435,"threshold_uncertainty_score":0.9414089},"labels":[],"label_agreement":null},{"id":"W4318586278","doi":"10.1109/jsac.2023.3240709","title":"Asynchronous Cell-Free Massive MIMO With Rate-Splitting","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Key Research and Development Program of China; Australian Research Council; Natural Science Foundation of Beijing Municipality; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; ZTE Corporation","keywords":"Precoding; Asynchronous communication; Computer science; MIMO; Telecommunications link; Robustness (evolution); Channel state information; Spectral efficiency; Transmission (telecommunications); Topology (electrical circuits); Channel (broadcasting); Computer network; Telecommunications; Wireless; Mathematics","score_opus":0.016701361423620185,"score_gpt":0.25007400604301405,"score_spread":0.23337264461939386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318586278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39724195,0.0024262932,0.5364671,0.003820442,0.0017626145,0.0020915284,0.000104056955,0.0040928707,0.051993147],"genre_scores_gemma":[0.9795058,0.0011903216,0.018849537,0.000036980487,0.00010239473,0.00007255784,0.000041593546,0.0000857946,0.00011501969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864393,0.0002167328,0.00046827333,0.00014337116,0.00016530482,0.00036237383],"domain_scores_gemma":[0.9977052,0.000545857,0.00016601595,0.0011947977,0.0002797819,0.00010831746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033594787,0.00019924618,0.00022735662,0.00046386872,0.00031523273,0.000084130545,0.0009159872,0.00009626492,0.000013570184],"category_scores_gemma":[0.00019396114,0.00019124559,0.000037669357,0.0019218923,0.000047326143,0.00026115164,0.000062963954,0.00089675235,0.0000782453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016318378,0.00005867418,0.0006568503,0.000021418253,0.00003941928,0.000024404051,0.00052405364,0.9910577,0.004417829,0.00019796824,0.0020698241,0.0009155626],"study_design_scores_gemma":[0.0043766527,0.00037093548,0.007789392,0.001402096,0.00007904905,0.00030115675,0.0016170094,0.963303,0.012661569,0.0016246329,0.0052556708,0.001218809],"about_ca_topic_score_codex":0.000007893971,"about_ca_topic_score_gemma":0.00013837536,"teacher_disagreement_score":0.5822638,"about_ca_system_score_codex":0.00039663,"about_ca_system_score_gemma":0.00010139049,"threshold_uncertainty_score":0.7798769},"labels":[],"label_agreement":null},{"id":"W4320029381","doi":"10.1109/globecom48099.2022.10000894","title":"Hierarchical Deep Q-Learning Based Handover in Wireless Networks with Dual Connectivity","year":2022,"lang":"en","type":"article","venue":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Ottawa","funders":"Mitacs","keywords":"Reinforcement learning; Computer science; Handover; Latency (audio); Context (archaeology); Beamforming; Wireless; Wireless network; Real-time computing; Computer network; Artificial intelligence; Telecommunications","score_opus":0.014160459551019489,"score_gpt":0.23856615315079355,"score_spread":0.22440569359977405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320029381","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":[0.0690442,0.0013294513,0.91812885,0.00037324036,0.00058629015,0.0009806743,0.00022423458,0.0007792473,0.008553808],"genre_scores_gemma":[0.9941794,0.0002321782,0.004346594,0.00009247368,0.000028269427,0.00063989824,0.00038688927,0.000045482007,0.000048802438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997355,0.0008421858,0.00048336014,0.0004213842,0.0003765493,0.0005215155],"domain_scores_gemma":[0.9978864,0.00033701255,0.0001475214,0.0013803149,0.000114115006,0.000134602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049613975,0.00032451344,0.0004130087,0.00014029906,0.000696981,0.00009320701,0.0010926744,0.000098467244,0.0003832636],"category_scores_gemma":[0.000054091663,0.00038602314,0.000071080685,0.0015452299,0.00017490424,0.00026459448,0.00054734666,0.0014258756,0.0000117209975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007363364,0.00012684644,0.0073349015,0.000019210585,0.000036882066,0.000015676023,0.00013392496,0.98393494,0.000099290286,0.0039062274,0.00021835674,0.004100097],"study_design_scores_gemma":[0.0011870508,0.000110316505,0.0022014019,0.0000384626,0.00002121857,0.00004104602,0.0005263459,0.99284923,0.000019661811,0.00017872776,0.0023893972,0.00043714672],"about_ca_topic_score_codex":0.00028707922,"about_ca_topic_score_gemma":0.0029945727,"teacher_disagreement_score":0.9251352,"about_ca_system_score_codex":0.0010241349,"about_ca_system_score_gemma":0.00015426705,"threshold_uncertainty_score":0.99985915},"labels":[],"label_agreement":null},{"id":"W4320717839","doi":"10.1016/j.sigpro.2023.108972","title":"Topological interference management via low-rank tensor completion for time-varying topology networks","year":2023,"lang":"en","type":"article","venue":"Signal Processing","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":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Tensor (intrinsic definition); Topology (electrical circuits); Rank (graph theory); Mathematics; Matrix norm; Cartesian tensor; Mathematical optimization; Tensor density; Pure mathematics; Exact solutions in general relativity; Combinatorics; Tensor field; Mathematical analysis; Physics; Quantum mechanics","score_opus":0.017872010458829066,"score_gpt":0.2548021531827042,"score_spread":0.23693014272387514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320717839","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":[0.0024124838,0.0001925357,0.99443656,0.00005146515,0.00019710591,0.000386916,0.000002737111,0.00084687845,0.0014733381],"genre_scores_gemma":[0.98596233,0.000017427545,0.013289464,0.000050181032,0.0001884868,0.00011660791,0.00007042808,0.000040745857,0.00026433208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901634,0.000021972097,0.00027668983,0.00024307094,0.00007705079,0.00036489108],"domain_scores_gemma":[0.99967426,0.000072310024,0.000054074688,0.00009495926,0.000058703292,0.000045681558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016233485,0.00015944823,0.00020687055,0.0001172786,0.00016249469,0.000052202446,0.00013358594,0.00010252081,0.000058915866],"category_scores_gemma":[0.000009729515,0.0001580133,0.00004173828,0.00028448884,0.00004580629,0.0001703548,0.000047386315,0.000119909404,0.000060966522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026933436,0.000008375347,0.00003228688,0.00033376814,0.000018405559,0.000007603812,0.00008646368,0.94932246,0.0041861343,0.00017978305,0.00025796058,0.045539804],"study_design_scores_gemma":[0.0002814533,0.000039141112,0.0000478936,0.00016605709,0.000015154083,0.000007894459,0.00006843754,0.99738485,0.00045707822,0.0011549303,0.0001926058,0.00018453541],"about_ca_topic_score_codex":0.0000011274027,"about_ca_topic_score_gemma":5.8688425e-7,"teacher_disagreement_score":0.98354983,"about_ca_system_score_codex":0.00007546831,"about_ca_system_score_gemma":0.000004697671,"threshold_uncertainty_score":0.6443595},"labels":[],"label_agreement":null},{"id":"W4321606827","doi":"10.1109/comsnets56262.2023.10041347","title":"Design for sustainability - an imperative for future mobile networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nokia (Canada)","funders":"","keywords":"Sustainability; Environmental economics; Energy consumption; Efficient energy use; Resource scarcity; Scarcity; Resource efficiency; Key (lock); Computer science; Resource (disambiguation); Natural resource economics; Engineering; Economics; Computer security","score_opus":0.011219193189608425,"score_gpt":0.2699996761892157,"score_spread":0.2587804829996073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321606827","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":[0.0015459561,0.00006349055,0.99419814,0.00001967899,0.00036230436,0.0028269829,0.000011724108,0.0009256159,0.00004609735],"genre_scores_gemma":[0.8510756,0.000036148245,0.13985203,0.0000245139,0.0009537282,0.006498199,0.00026489067,0.00011693191,0.0011779608],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993964,0.000017750093,0.00014350204,0.00016171714,0.000029854975,0.00025080712],"domain_scores_gemma":[0.99943763,0.0001509661,0.000014417962,0.00016712821,0.00018314905,0.00004673772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021881136,0.00010732287,0.00012449587,0.000039494793,0.0000833288,0.000022460114,0.0000640364,0.00009057624,0.000008307469],"category_scores_gemma":[0.000034422053,0.00009983049,0.00003670997,0.00019097886,0.000008659702,0.00021172011,0.0000075588296,0.000040172166,0.0000016606181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002211927,0.000005001849,0.00000622494,0.000074527445,0.000009933725,1.7861014e-7,0.00038145587,0.99380696,0.000104775274,0.0008935449,0.0021284097,0.0025668985],"study_design_scores_gemma":[0.0002794354,0.00012451374,0.000009641802,0.0000024552762,0.000005248986,3.5772544e-7,0.0027432656,0.993296,0.00074519886,0.0014334365,0.0012343605,0.00012604754],"about_ca_topic_score_codex":0.0000014684796,"about_ca_topic_score_gemma":0.000008333362,"teacher_disagreement_score":0.8543461,"about_ca_system_score_codex":0.00012500289,"about_ca_system_score_gemma":0.000017771425,"threshold_uncertainty_score":0.40709692},"labels":[],"label_agreement":null},{"id":"W4322727939","doi":"10.1109/tcsii.2023.3250665","title":"A Reduced-Complexity Load-Modulated MIMO Transmitter Readily Scalable in 5G Massive MIMO Transmitters","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits & Systems II Express Briefs","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transmitter; MIMO; Transmitter power output; Electronic engineering; Radio transmitter design; Amplifier; QAM; Electrical engineering; Computer science; Quadrature amplitude modulation; Telecommunications; Beamforming; Engineering; Bandwidth (computing); Channel (broadcasting); Bit error rate","score_opus":0.023345290030059952,"score_gpt":0.23577057488749809,"score_spread":0.21242528485743814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322727939","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":[0.13128407,0.00038393942,0.85647994,0.0002298246,0.003686207,0.0023880575,0.00042660633,0.0028427115,0.002278644],"genre_scores_gemma":[0.9961487,0.00014281034,0.00026982272,0.00006968381,0.000162799,0.0009770556,0.00005330788,0.00029910324,0.0018767031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99535245,0.00027228848,0.00139063,0.0010406976,0.0007324907,0.0012114211],"domain_scores_gemma":[0.99811053,0.00019267487,0.00015799454,0.0010054201,0.00020626625,0.00032710444],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048527846,0.00077810156,0.0010014399,0.0008910547,0.00040303345,0.00014553401,0.0005236248,0.00051037257,0.00008704832],"category_scores_gemma":[0.000011131348,0.00090064976,0.00030736902,0.0020707576,0.00015199238,0.0008898388,0.0000023063294,0.00080506905,0.000280113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003802166,0.00012633564,0.000009729546,0.0005530649,0.00015118839,0.00007827326,0.0040793777,0.8692526,0.12120872,0.00003023444,0.0011788773,0.003293536],"study_design_scores_gemma":[0.009836324,0.00043880977,0.0010991938,0.005214438,0.0003322305,0.00030190198,0.0028155274,0.77928066,0.18104064,0.00024468478,0.014892266,0.0045033265],"about_ca_topic_score_codex":0.0011569962,"about_ca_topic_score_gemma":0.00023418997,"teacher_disagreement_score":0.86486465,"about_ca_system_score_codex":0.0009542199,"about_ca_system_score_gemma":0.00013662166,"threshold_uncertainty_score":0.9993444},"labels":[],"label_agreement":null},{"id":"W4322749507","doi":"10.2139/ssrn.4374897","title":"Autonomous Handover Parameter Optimisation for 5g Cellular Networks Using Deep Deterministic Policy Gradient","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","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":"Trinity College","funders":"","keywords":"Handover; Computer science; Cellular network; Computer network; Artificial intelligence; Mathematical optimization; Mathematics","score_opus":0.011842679163727632,"score_gpt":0.2431855139126681,"score_spread":0.23134283474894046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322749507","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":[0.030491395,0.000799944,0.9674675,0.000049238362,0.0005581978,0.00034167714,0.0000021799833,0.00024009145,0.0000497685],"genre_scores_gemma":[0.9942816,0.00064004166,0.0038060532,0.000015199877,0.0007997401,0.00003545761,0.000026819856,0.000099630386,0.0002954562],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754095,0.000034493492,0.00031025885,0.00017690937,0.00011469842,0.001822715],"domain_scores_gemma":[0.9994749,0.00009363655,0.00011943636,0.00015963624,0.000063613086,0.000088787085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225661,0.00020451697,0.00021407288,0.00026958578,0.00020797837,0.00009969126,0.00014088281,0.0001137349,0.0000025019044],"category_scores_gemma":[0.000102248945,0.0002129805,0.00012216825,0.00035677917,0.00001941073,0.00024878283,0.000010417188,0.00053044345,0.000006996569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012497237,0.000005362727,0.00002243426,0.00001995837,0.00007409017,0.0000028877118,0.000103445054,0.98833525,0.000982385,0.0022467056,0.000016160242,0.008178798],"study_design_scores_gemma":[0.0006031523,0.00009217804,0.000008660239,0.00002436937,0.000043429915,0.00015095818,0.0001517921,0.9860386,0.00038221653,0.012057967,0.00022329192,0.00022336839],"about_ca_topic_score_codex":0.000009139201,"about_ca_topic_score_gemma":0.000045764624,"teacher_disagreement_score":0.9637902,"about_ca_system_score_codex":0.001883261,"about_ca_system_score_gemma":0.0003029114,"threshold_uncertainty_score":0.8685093},"labels":[],"label_agreement":null},{"id":"W4323646091","doi":"10.1109/fnwf55208.2022.00064","title":"Energy-Efficient Massive MIMO Design: Optimal Number of Antennas Ensuring Guaranteed Bit Rate","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; MIMO; Quality of service; Base station; Efficient energy use; Leverage (statistics); Energy consumption; Computer network; Transmitter power output; Channel (broadcasting); Electronic engineering; Distributed computing; Real-time computing; Engineering; Electrical engineering","score_opus":0.012270759055536559,"score_gpt":0.21889167990111064,"score_spread":0.20662092084557407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323646091","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":[0.03735466,0.00014183579,0.95753944,0.000011861302,0.00038840578,0.00019218832,0.000016288874,0.00029762863,0.0040577105],"genre_scores_gemma":[0.9642296,0.00001158377,0.034614585,0.000021638454,0.000031506563,0.000062768864,0.000010402179,0.000059453276,0.00095847744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988999,0.000088448236,0.00036444006,0.00020479651,0.00016981979,0.0002726462],"domain_scores_gemma":[0.99949515,0.00008071563,0.00008189794,0.00023300166,0.00006260448,0.000046650202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021243969,0.00017306626,0.00023800871,0.000113525726,0.000089227746,0.000011936046,0.00015662101,0.000037702997,0.0005309335],"category_scores_gemma":[0.0000152575385,0.00018325925,0.00006725481,0.00036732698,0.000022502889,0.00006756525,0.00008810048,0.00011268329,0.000018053071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025349103,0.00002715681,0.00006056242,0.000027976012,0.000036946505,0.000015274518,0.00023931448,0.96439725,0.03383512,0.0009615242,0.00024465783,0.00012888436],"study_design_scores_gemma":[0.00042204055,0.000027705964,0.000017266577,0.000019371202,0.000011827073,0.000028412247,0.00047165644,0.95641136,0.041882318,0.000025677778,0.00047368492,0.00020867403],"about_ca_topic_score_codex":0.000029987308,"about_ca_topic_score_gemma":0.0000013476119,"teacher_disagreement_score":0.92687494,"about_ca_system_score_codex":0.000130933,"about_ca_system_score_gemma":0.000018696588,"threshold_uncertainty_score":0.74730957},"labels":[],"label_agreement":null},{"id":"W4323646153","doi":"10.1109/fnwf55208.2022.00084","title":"Multiobjective optimal sizing and energy planning in green cellular base stations","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Cellular network; Sizing; Base station; Computer science; Quality of service; Grid; Multi-objective optimization; Network planning and design; Operating expense; Mathematical optimization; Computer network","score_opus":0.009044643047853459,"score_gpt":0.21170530207161814,"score_spread":0.20266065902376468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323646153","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":[0.066938885,0.00043104365,0.9296382,0.000012004249,0.00008971315,0.00007492921,0.000013849471,0.00018407984,0.0026172895],"genre_scores_gemma":[0.9763734,0.0000050528224,0.02307645,0.000016547056,0.000016816835,0.000076326935,0.0000295299,0.000023707333,0.00038218324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953663,0.000027800326,0.00013153181,0.000118548465,0.00006144527,0.00012402667],"domain_scores_gemma":[0.9998267,0.00004902077,0.000016769927,0.00006771061,0.000011391402,0.00002839433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006334769,0.00007371757,0.00008041894,0.00013832003,0.000085886204,0.000009636645,0.000035528126,0.000016852337,0.000046828885],"category_scores_gemma":[0.000008084211,0.00009034561,0.000009648898,0.00018195019,0.0000068087716,0.00015559501,0.000040071587,0.00008734044,6.691631e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003068736,0.000005772751,0.00047052916,0.000008567737,0.000005718815,0.000013491953,0.0011912265,0.9926564,0.004380188,0.00041050065,0.000018159391,0.000836344],"study_design_scores_gemma":[0.00029880917,0.000016617178,0.0001458423,0.0000068292707,0.0000026492858,0.0000047832723,0.0029383944,0.99457675,0.0014106948,0.000034208464,0.00044722174,0.00011720736],"about_ca_topic_score_codex":0.0002489833,"about_ca_topic_score_gemma":0.00005932413,"teacher_disagreement_score":0.9094345,"about_ca_system_score_codex":0.000117476586,"about_ca_system_score_gemma":0.0000072747557,"threshold_uncertainty_score":0.3684187},"labels":[],"label_agreement":null},{"id":"W4324134902","doi":"10.1109/iotm.001.2200156","title":"A Layered and Grid-Based Methodology to Characterize and Simulate IoT Traffic on Advanced Cellular Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Polytechnique Montréal","funders":"","keywords":"Computer science; Scalability; Granularity; Distributed computing; Grid; Throughput; RSS; Network simulation; Scale (ratio); Software; Wireless; Telecommunications","score_opus":0.026769194290387783,"score_gpt":0.25477491875924185,"score_spread":0.22800572446885406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324134902","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":[0.6613779,0.00008759929,0.33699405,0.000092161834,0.00073265075,0.00028666516,0.000008645691,0.00035796635,0.000062372674],"genre_scores_gemma":[0.983388,0.000034900233,0.01584766,0.00016916671,0.00009501956,0.000025452262,0.000026849146,0.00006987171,0.00034307715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891734,0.00006352885,0.0003609268,0.0002941475,0.00009355595,0.00027051187],"domain_scores_gemma":[0.99923897,0.0003103282,0.00009723345,0.00020404904,0.000046675887,0.000102747086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031015943,0.00022404494,0.0004023403,0.00024035454,0.000017702798,0.000021217731,0.0001240558,0.00011939898,0.000010961036],"category_scores_gemma":[0.000110873116,0.00023039787,0.000040068157,0.0002551644,0.000034501878,0.00010292256,0.000037670558,0.00017353057,0.000025722897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001196029,0.000008231723,0.000013914172,0.00012240073,0.00002384518,0.000013933928,0.00043899834,0.86344653,0.1288061,0.000009854074,0.00032238432,0.0066742124],"study_design_scores_gemma":[0.00074087956,0.00021542101,0.00022935658,0.00022066249,0.000014400686,0.0000044744734,0.000014201489,0.9741626,0.023089804,0.000017302393,0.0010772753,0.00021362148],"about_ca_topic_score_codex":0.0000057821635,"about_ca_topic_score_gemma":0.000004835965,"teacher_disagreement_score":0.3220101,"about_ca_system_score_codex":0.000034804754,"about_ca_system_score_gemma":0.0000042490215,"threshold_uncertainty_score":0.93953526},"labels":[],"label_agreement":null},{"id":"W4324149179","doi":"10.1002/ett.4763","title":"Resource allocation and user assignment schemes in cellular supported industrial IoT networks","year":2023,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"IBM (Canada); Toronto Metropolitan University; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subcarrier; Computer science; Resource allocation; Throughput; Telecommunications link; Computer network; Interference (communication); Cellular network; Internet of Things; Resource management (computing); Genetic algorithm; Mathematical optimization; Wireless; Orthogonal frequency-division multiplexing; Telecommunications; Mathematics; Computer security","score_opus":0.0224837884830716,"score_gpt":0.24245251194834888,"score_spread":0.2199687234652773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324149179","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":[0.031233013,0.000500214,0.95891035,0.002445501,0.00010283709,0.0005803769,0.0000068155823,0.0059694257,0.00025148483],"genre_scores_gemma":[0.98589927,0.0016794452,0.011776599,0.000008711362,0.000008542079,0.00037007086,0.000064202315,0.00004929514,0.00014386131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989329,0.00005501478,0.00039178625,0.00022178167,0.00010394122,0.0002945689],"domain_scores_gemma":[0.9988908,0.00015452871,0.00005823492,0.0008413269,0.00002895939,0.000026108648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024529,0.00018910167,0.00018636652,0.0007788083,0.000240245,0.000033086453,0.00036436535,0.0002773152,0.00001476461],"category_scores_gemma":[0.000043424556,0.00021873016,0.000034049262,0.0016864906,0.00009822214,0.000143515,0.000021721744,0.00060706586,0.000015667869],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004389613,0.000033318607,0.0001340434,0.000010674297,0.000028517425,8.2201194e-7,0.00011283777,0.95591277,0.0015803775,0.0003657091,0.00033877755,0.041477773],"study_design_scores_gemma":[0.00076594704,0.000049813858,0.00018298301,0.00016643634,0.00003276438,0.0000034457528,0.003964407,0.94521576,0.021467892,0.00024505032,0.027441703,0.00046377405],"about_ca_topic_score_codex":0.000014270802,"about_ca_topic_score_gemma":0.000049451337,"teacher_disagreement_score":0.95466626,"about_ca_system_score_codex":0.00016531526,"about_ca_system_score_gemma":0.000013614363,"threshold_uncertainty_score":0.8919557},"labels":[],"label_agreement":null},{"id":"W4327767959","doi":"10.1109/ccnc51644.2023.10060026","title":"Traffic Steering for 5G Multi-RAT Deployments using Deep Reinforcement Learning","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Ottawa","funders":"","keywords":"Reinforcement learning; Computer science; Quality of service; Traffic classification; Heuristic; Throughput; Real-time computing; Traffic flow (computer networking); Computer network; Distributed computing; Artificial intelligence; Wireless; Telecommunications","score_opus":0.033301143503312106,"score_gpt":0.27134274425664934,"score_spread":0.23804160075333725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327767959","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":[0.03388107,0.00004536026,0.9630448,0.0000026679647,0.00048047205,0.00048456926,3.2208484e-7,0.0017132467,0.0003474677],"genre_scores_gemma":[0.96046567,0.00003406578,0.03801224,0.000006681727,0.00006242203,0.00008545429,0.000031213585,0.00009916175,0.001203067],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914277,0.000008280607,0.00026417302,0.00015887164,0.0000938173,0.0003320913],"domain_scores_gemma":[0.9997175,0.00003838721,0.00003371234,0.00011932135,0.000035254943,0.000055858844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001129211,0.00014826586,0.00014287735,0.00015671886,0.000109819826,0.00003278524,0.00007217708,0.00005816743,0.000016077787],"category_scores_gemma":[0.000035944446,0.0001618076,0.000046591227,0.0002859898,0.00000574576,0.00022271344,0.0000149966545,0.000075813194,0.000042721513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027215144,0.0000025667837,0.000049696264,0.00011000972,0.000022173008,0.0000012486793,0.00026707735,0.989764,0.007341379,0.000017733877,0.00003182112,0.0023896063],"study_design_scores_gemma":[0.00055269996,0.000017479419,0.000009104839,0.00004402687,0.000009517474,0.0000017551104,0.00028315082,0.99285865,0.005367842,0.0000010735852,0.0006717682,0.00018294579],"about_ca_topic_score_codex":0.000005911036,"about_ca_topic_score_gemma":0.000017146656,"teacher_disagreement_score":0.9265846,"about_ca_system_score_codex":0.00015954097,"about_ca_system_score_gemma":0.00000596644,"threshold_uncertainty_score":0.6598323},"labels":[],"label_agreement":null},{"id":"W4327768026","doi":"10.1109/ccnc51644.2023.10059832","title":"Pilot Power Allocation Scheme for User-Centric Cell-free Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Convergence (economics); Telecommunications link; Power control; Scheme (mathematics); MIMO; Transmission (telecommunications); Power (physics); Channel (broadcasting); Scalability; Mathematical optimization; Spectral efficiency; Real-time computing; Control theory (sociology); Computer network; Telecommunications; Mathematics; Control (management); Artificial intelligence","score_opus":0.013773700540660485,"score_gpt":0.22392586837279138,"score_spread":0.2101521678321309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327768026","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":[0.0036721951,0.00030782222,0.98479146,0.000085403946,0.001624046,0.0012329917,0.000031382548,0.0017759444,0.0064787697],"genre_scores_gemma":[0.9731475,0.000061664214,0.018685354,0.000017031034,0.00015814544,0.00043248443,0.00013701848,0.00011652231,0.0072442475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903,0.000013713555,0.0003008769,0.0002080368,0.00013098364,0.00031640287],"domain_scores_gemma":[0.9992518,0.00010259223,0.000053371004,0.00039331117,0.00012866131,0.00007025282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012592747,0.00016377271,0.00016773511,0.00019007106,0.00005852143,0.000047430556,0.0001892511,0.00006255164,0.000025908645],"category_scores_gemma":[0.000085147825,0.00016778034,0.000041699557,0.0005308736,0.000007955457,0.00023645982,0.000035870737,0.000062621155,0.00028148244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008824208,0.000019806665,0.00006787087,0.00032937998,0.000028175014,0.0000018640591,0.00007329165,0.9233553,0.018658238,0.0057779155,0.051627796,0.00005154681],"study_design_scores_gemma":[0.0011050609,0.00009628342,0.00005778201,0.000064925785,0.000016240747,0.0000023301911,0.0005043383,0.98025465,0.008456865,0.00015215568,0.008920629,0.00036873773],"about_ca_topic_score_codex":0.000016598815,"about_ca_topic_score_gemma":0.000007481129,"teacher_disagreement_score":0.9694753,"about_ca_system_score_codex":0.00014277818,"about_ca_system_score_gemma":0.000015270387,"threshold_uncertainty_score":0.68418837},"labels":[],"label_agreement":null},{"id":"W4360897570","doi":"10.1109/tccn.2023.3261304","title":"Channel Estimation for Spectrum Sharing in Massive MIMO Communications","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; Ericsson (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; MIMO; Multi-user MIMO; Computer network; 3G MIMO; Channel (broadcasting); Telecommunications; Electronic engineering","score_opus":0.05421350743588474,"score_gpt":0.29688029620636575,"score_spread":0.242666788770481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360897570","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":[0.0012604439,0.0010224311,0.9947338,0.00040962925,0.00029125475,0.0008658945,0.00007270896,0.00048332152,0.0008604952],"genre_scores_gemma":[0.9825539,0.010271205,0.0057527884,0.000034258104,0.000036837508,0.0010746804,0.00014805126,0.000060395356,0.00006786134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900734,0.00005996389,0.0003564453,0.00022144296,0.00006812599,0.00028670672],"domain_scores_gemma":[0.9981522,0.0008689881,0.00006784321,0.000777829,0.000076767334,0.00005637436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026170822,0.0001807023,0.00019848689,0.0004105437,0.00055219803,0.000058776444,0.0003810657,0.00009651854,0.000003237386],"category_scores_gemma":[0.000009327912,0.00022401131,0.000056622055,0.0008826495,0.00010810983,0.00025725842,0.00001664879,0.00031652997,0.000016846705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023286068,0.00007505879,0.00004399493,0.000081372535,0.00007375786,7.272037e-7,0.0012812178,0.90008324,0.00010762271,0.00040607355,0.00003648949,0.09778716],"study_design_scores_gemma":[0.00058286503,0.000034830333,0.000068526824,0.00051739824,0.00003628271,0.0000027827791,0.0006408671,0.99572873,0.0003001451,0.0015370566,0.00033034405,0.00022015045],"about_ca_topic_score_codex":0.00001741153,"about_ca_topic_score_gemma":0.0004848054,"teacher_disagreement_score":0.988981,"about_ca_system_score_codex":0.000106973726,"about_ca_system_score_gemma":0.000012903668,"threshold_uncertainty_score":0.9134916},"labels":[],"label_agreement":null},{"id":"W4360995371","doi":"10.1109/tsp.2023.3260561","title":"Joint Optimization of Transmit Beamforming and Base Station Cache Allocation in Multi-Cell C-RAN","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Cache; Computer science; Backhaul (telecommunications); Optimization problem; Base station; Telecommunications link; Mathematical optimization; Convex optimization; Computer network; Algorithm; Telecommunications; Mathematics; Regular polygon","score_opus":0.027096382644052404,"score_gpt":0.24474101340621807,"score_spread":0.21764463076216567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360995371","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":[0.022958437,0.000114086935,0.9761414,0.000016311424,0.00006298901,0.00037189995,0.000014072586,0.0002703994,0.000050422022],"genre_scores_gemma":[0.963309,0.00009010607,0.036393665,0.000006367888,0.000009221306,0.000081631304,0.000023733877,0.0000493168,0.000036973524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901116,0.000031167936,0.00042771763,0.0002003107,0.00014379728,0.00018585948],"domain_scores_gemma":[0.99966776,0.000047856673,0.00007746137,0.00008263586,0.00007595877,0.00004832568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019700175,0.00015767738,0.00017924202,0.00048622614,0.0000936376,0.00002660144,0.000044472374,0.0000955932,0.000010536194],"category_scores_gemma":[0.0000029651862,0.00018065325,0.000031556512,0.0007592408,0.000027641208,0.0005922168,4.5850365e-7,0.00016277377,0.0000032811063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014923608,0.000047856116,0.000007403115,0.00046514766,0.000005177633,0.0000011076157,0.0019292849,0.9208757,0.043548368,7.5643095e-7,0.0000011533141,0.0331031],"study_design_scores_gemma":[0.00074762246,0.000031052354,0.000026317273,0.00023345456,0.000015874135,0.0000021544215,0.00071209937,0.89919114,0.098881625,0.000008102992,0.0000018932282,0.00014867465],"about_ca_topic_score_codex":0.000017867202,"about_ca_topic_score_gemma":0.000036554782,"teacher_disagreement_score":0.94035053,"about_ca_system_score_codex":0.00009542611,"about_ca_system_score_gemma":0.000030663432,"threshold_uncertainty_score":0.7366826},"labels":[],"label_agreement":null},{"id":"W4362500695","doi":"10.1109/access.2023.3263951","title":"Multi-Objective Energy Efficient Resource Allocation in Massive Multiple Input Multiple Output-Aided Heterogeneous Cloud Radio Access Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transmitter power output; Remote radio head; Throughput; Cloud computing; Resource allocation; Optimization problem; Radio access network; Computer network; Mathematical optimization; Base station; Wireless; Algorithm; Transmitter; Telecommunications","score_opus":0.023613882212080908,"score_gpt":0.2638932356867057,"score_spread":0.24027935347462478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362500695","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":[0.24958885,0.0002966615,0.746309,0.000024440851,0.0018763737,0.0007532918,0.00002461493,0.0010384914,0.0000882747],"genre_scores_gemma":[0.9975551,0.00011921487,0.0008544188,0.00006162799,0.00044640375,0.00046687835,0.00018136126,0.00017434043,0.0001406921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974703,0.0001640128,0.00069292536,0.00065895286,0.0002801625,0.00073364953],"domain_scores_gemma":[0.9984785,0.00042597952,0.00019814707,0.00059359777,0.0001464788,0.00015733943],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002548177,0.00043390735,0.00046504402,0.0005720226,0.00014798295,0.00022284228,0.00082630623,0.00029335998,0.0000056696913],"category_scores_gemma":[0.00021029709,0.00048497977,0.00010592916,0.0016506176,0.00005311979,0.0005781779,0.00021444868,0.00030715522,0.000027821017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005392347,0.000057516452,0.0030085177,0.00006442037,0.000054062577,0.000050918643,0.0005870325,0.9922052,0.0017177562,0.000003831489,0.0004859923,0.0017108367],"study_design_scores_gemma":[0.0017051868,0.000018280798,0.0031318031,0.000115631025,0.000014493071,0.0000072590233,0.00010589807,0.9757288,0.018220488,0.000008428396,0.00045259352,0.0004911441],"about_ca_topic_score_codex":0.00048640248,"about_ca_topic_score_gemma":0.0011409457,"teacher_disagreement_score":0.74796623,"about_ca_system_score_codex":0.0005545257,"about_ca_system_score_gemma":0.000030184876,"threshold_uncertainty_score":0.9997602},"labels":[],"label_agreement":null},{"id":"W4362500757","doi":"10.1109/jsyst.2023.3255865","title":"Access Point-User Association and Auction Algorithm-Based Pilot Assignment Schemes for Cell-Free Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Systems Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Scalability; Spectral efficiency; Interference (communication); Scheme (mathematics); Assignment problem; Algorithm; Association scheme; Mathematical optimization; Reduction (mathematics); MIMO; Real-time computing; Computer network; Mathematics","score_opus":0.01853715260680682,"score_gpt":0.2527241886969282,"score_spread":0.23418703609012137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362500757","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":[0.005058781,0.0009316463,0.98170614,0.00010596096,0.010072509,0.0013320228,0.00011465782,0.00052137644,0.00015691137],"genre_scores_gemma":[0.9904811,0.0002184458,0.0037652517,0.000015777661,0.0025213908,0.00056890666,0.000052707273,0.00018800193,0.0021884113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977184,0.00015448831,0.0008066823,0.00028542872,0.00050368987,0.0005313355],"domain_scores_gemma":[0.9983085,0.00024581724,0.00056573283,0.00028616333,0.00039985258,0.00019395242],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011438656,0.00030803107,0.00044691557,0.0004073407,0.00030252166,0.0005965288,0.00028195942,0.00020243964,0.0000043964274],"category_scores_gemma":[0.00012278333,0.00030720877,0.00009227392,0.00039004037,0.000014755506,0.00085618143,0.00002881731,0.00029014744,0.000024268746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016840053,0.000022760636,0.0004333194,0.0006107602,0.000121920726,0.000010634017,0.00007235624,0.96453685,0.0045223976,0.000019039042,0.029321216,0.00031192738],"study_design_scores_gemma":[0.002950465,0.0001865364,0.00011104993,0.0005125168,0.000082372026,0.00006561635,0.0003826471,0.9840465,0.0037075104,0.00005841441,0.0074577117,0.00043865366],"about_ca_topic_score_codex":0.00003082255,"about_ca_topic_score_gemma":0.00000383487,"teacher_disagreement_score":0.9854223,"about_ca_system_score_codex":0.0011724243,"about_ca_system_score_gemma":0.00006355134,"threshold_uncertainty_score":0.999938},"labels":[],"label_agreement":null},{"id":"W4362570740","doi":"10.1007/978-3-031-26963-9_2","title":"Advanced Wireless Technologies for Industrial Automation","year":2023,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"University of Waterloo","funders":"","keywords":"Wireless; Computer science; Wireless network; Wi-Fi array; Base transceiver station; Telecommunications; Fixed wireless; Radio resource management; Computer network","score_opus":0.020858122948856157,"score_gpt":0.22298955815678556,"score_spread":0.2021314352079294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362570740","genre_codex":"methods","genre_gemma":"other","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":[0.000049747174,0.0010120927,0.94776285,0.00004035968,0.0052376417,0.00248248,0.000117605196,0.012842777,0.030454457],"genre_scores_gemma":[0.22842045,0.013543765,0.01742946,0.00006375838,0.009032114,0.005072913,0.0072656954,0.005003472,0.71416837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99816275,0.000008102882,0.0006636835,0.00048035497,0.00019411436,0.00049101614],"domain_scores_gemma":[0.99879926,0.00020971218,0.00027828108,0.00053117087,0.00012693884,0.00005462873],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00014040587,0.0005783218,0.0007108819,0.00028048173,0.00011978897,0.00005674215,0.0003419571,0.0017804581,0.000014579584],"category_scores_gemma":[0.000029824787,0.00065949326,0.00017249011,0.0001465059,0.000075109725,0.00019761753,0.00008128072,0.00072279637,0.000044643737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018868455,0.00000243516,0.000001094984,0.00013519055,0.00008902508,0.000004682057,0.00001787977,0.73818386,0.000028516248,0.026759595,0.0039979583,0.2307609],"study_design_scores_gemma":[0.000927083,0.000050168055,6.15447e-7,0.0011584737,0.00007027185,0.000004360971,0.000043812986,0.96219504,0.0001325431,0.0036453626,0.030934926,0.0008373652],"about_ca_topic_score_codex":9.681517e-7,"about_ca_topic_score_gemma":0.000022207098,"teacher_disagreement_score":0.9303334,"about_ca_system_score_codex":0.00029141715,"about_ca_system_score_gemma":0.000033219243,"threshold_uncertainty_score":0.9995856},"labels":[],"label_agreement":null},{"id":"W4364302699","doi":"10.1109/tsp.2023.3265885","title":"Ultra-Low-Complexity Algorithms With Structurally Optimal Multi-Group Multicast Beamforming in Large-Scale Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Algorithm; Computer science; Initialization; Mathematical optimization; Multicast; Computational complexity theory; Mathematics","score_opus":0.020619281607015854,"score_gpt":0.25200542948635013,"score_spread":0.2313861478793343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364302699","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":[0.057132248,0.000074059935,0.940787,0.000006589827,0.00028319765,0.0005407511,0.00006955611,0.001043003,0.0000636058],"genre_scores_gemma":[0.9367661,0.000012644059,0.06279633,0.00000742481,0.000061789695,0.00014319354,0.000025430214,0.000114349255,0.00007272731],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980809,0.000040780888,0.0005171857,0.00042283468,0.00030553603,0.0006327742],"domain_scores_gemma":[0.9994373,0.000064320884,0.00008441672,0.0001894509,0.00009541454,0.0001291172],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021723099,0.00035748666,0.00036708338,0.00042364397,0.00031427795,0.00013421511,0.00017071638,0.00015042341,0.0000150638925],"category_scores_gemma":[0.0000021923795,0.0003411887,0.0000607934,0.0011034618,0.000070726455,0.0008474123,0.0000012828983,0.00047555403,0.00002825512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038658596,0.00006009075,0.000027260481,0.00045268537,0.00001958478,0.00002027815,0.0014491742,0.9754997,0.012802001,0.0000019063962,0.0000013927073,0.009627298],"study_design_scores_gemma":[0.0013437642,0.000057245557,0.00010294644,0.0006123386,0.000021523176,0.000044520748,0.0023610455,0.98537904,0.009647348,0.0000032415358,0.00001255835,0.0004144094],"about_ca_topic_score_codex":0.000031557087,"about_ca_topic_score_gemma":0.00015089363,"teacher_disagreement_score":0.87963384,"about_ca_system_score_codex":0.00024469718,"about_ca_system_score_gemma":0.00003585404,"threshold_uncertainty_score":0.99990404},"labels":[],"label_agreement":null},{"id":"W4366548094","doi":"10.1049/tje2.12266","title":"Performance analysis of linear detection for uplink massive MIMO system based on spectral and energy efficiency with Rayleigh fading channels in 3D plotting pattern","year":2023,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Rayleigh fading; Spectral efficiency; Telecommunications link; Computer science; Maximal-ratio combining; Path loss; Fading; Minimum mean square error; Algorithm; Throughput; Signal-to-noise ratio (imaging); Energy (signal processing); Transmitter; Channel (broadcasting); Electronic engineering; Mathematics; Wireless; Estimator; Telecommunications; Statistics; Engineering","score_opus":0.006235529415475858,"score_gpt":0.1898702950028108,"score_spread":0.18363476558733494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366548094","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":[0.45025003,0.000031455904,0.5495178,0.0000028701138,0.00010354733,0.000048799648,0.0000012587096,0.00003787206,0.0000063564135],"genre_scores_gemma":[0.99793434,0.000028907994,0.0018975829,0.0000013063764,0.00009104032,0.000007771163,0.0000016500322,0.000034737455,0.0000026814707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923354,0.000014590223,0.00037101936,0.000072556635,0.00012214229,0.00018613173],"domain_scores_gemma":[0.9994508,0.00020418999,0.00015724367,0.00009476543,0.000061030754,0.000031952863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043705225,0.00012611768,0.0002884948,0.00077557366,0.000040414114,0.000008912895,0.00008410531,0.00004017503,4.148601e-7],"category_scores_gemma":[0.000028586403,0.00009554878,0.00005033002,0.00088957534,0.000007216875,0.000112187176,0.0000072948988,0.00012403115,1.3601633e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030102521,0.000003338248,0.00041903733,0.0002358828,0.00009704478,0.0000029412597,0.00032204296,0.9893086,0.008731124,0.0000031492962,1.724857e-7,0.00084656815],"study_design_scores_gemma":[0.00039141922,0.00014557026,0.0008232745,0.0005140611,0.00013328753,0.000008666335,0.00015318439,0.98110974,0.016625147,1.6484874e-7,0.0000016775563,0.00009381419],"about_ca_topic_score_codex":0.0000058214896,"about_ca_topic_score_gemma":0.0000042417755,"teacher_disagreement_score":0.5476843,"about_ca_system_score_codex":0.00012048201,"about_ca_system_score_gemma":0.0000069106177,"threshold_uncertainty_score":0.3896366},"labels":[],"label_agreement":null},{"id":"W4366758407","doi":"10.7753/ijcatr0507.1013","title":"5G Wireless Technology- An overview of the current Trends","year":2023,"lang":"en","type":"article","venue":"International Journal of Computer Applications Technology and Research","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Current (fluid); Wireless; Telecommunications; Electrical engineering","score_opus":0.04976890957389029,"score_gpt":0.40202838747938824,"score_spread":0.35225947790549794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366758407","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":[0.29270643,0.008953867,0.68494165,0.0099753635,0.0015951905,0.0006122754,0.000037520895,0.0006218296,0.00055585755],"genre_scores_gemma":[0.9945314,0.0022569792,0.002955515,0.0000033331382,0.00014406821,0.000049722086,0.0000040051423,0.000013226106,0.000041756655],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991311,0.000030717547,0.0003285091,0.00010114497,0.00027758742,0.00013094477],"domain_scores_gemma":[0.99889576,0.00005454754,0.00010168433,0.00023975932,0.00068051525,0.000027706656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036504163,0.000067313325,0.00012910945,0.0021754752,0.00007538407,0.000016761898,0.0008369749,0.00010487469,0.0000033633096],"category_scores_gemma":[0.000013693665,0.000051350922,0.0000363099,0.0023417983,0.0002615191,0.00011179318,0.00016582385,0.00051961717,0.000005282284],"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":[0.000004476051,0.000051007526,0.0012791689,0.000032408236,0.00006856382,0.000002593209,0.00005189861,0.01075517,0.00297582,0.0571861,0.0005792091,0.9270136],"study_design_scores_gemma":[0.0027483567,0.0005174225,0.013858079,0.0016008196,0.00006335685,0.0011168465,0.0005883866,0.41509897,0.057629947,0.24564354,0.2604403,0.00069401413],"about_ca_topic_score_codex":4.234956e-7,"about_ca_topic_score_gemma":0.0000016023305,"teacher_disagreement_score":0.9263196,"about_ca_system_score_codex":0.00005104011,"about_ca_system_score_gemma":0.00003141709,"threshold_uncertainty_score":0.22575068},"labels":[],"label_agreement":null},{"id":"W4368339546","doi":"10.1007/s11235-023-01003-7","title":"Uplink SINR and rate analysis in massive MIMO systems with two-layer linear receiver","year":2023,"lang":"en","type":"article","venue":"Telecommunication Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Telecommunications link; Computer science; Algorithm; Minimum mean square error; Context (archaeology); Signal-to-interference-plus-noise ratio; Interference (communication); Signal-to-noise ratio (imaging); Topology (electrical circuits); Statistics; Mathematics; Telecommunications; Power (physics); Channel (broadcasting); Physics","score_opus":0.02024055640679409,"score_gpt":0.2619348126572844,"score_spread":0.24169425625049032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368339546","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":[0.5186481,0.0076044486,0.46107143,0.00028886498,0.00086933526,0.003544228,0.000064914806,0.0031068136,0.0048018787],"genre_scores_gemma":[0.99660844,0.0007199121,0.0015696122,0.0000064810984,0.000057831556,0.0003070548,0.00019749327,0.000072972936,0.00046020088],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982856,0.00030376617,0.00065814453,0.00029187623,0.00014906518,0.0003115796],"domain_scores_gemma":[0.9983254,0.00024444595,0.00016714905,0.0010112735,0.00016582635,0.00008591983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007590473,0.00024432674,0.00052563846,0.00075937115,0.00010312811,0.00009791654,0.00029851607,0.00012944452,0.0000052719415],"category_scores_gemma":[0.00003691525,0.00023218844,0.000043068394,0.0027313943,0.000041630912,0.00032437223,0.0000644716,0.00024149878,0.00010391544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009920528,0.000008784318,0.004095532,0.00013652923,0.00021749601,0.000004582214,0.00052363094,0.9934582,0.0010009329,0.00029887477,0.00009202956,0.00015348659],"study_design_scores_gemma":[0.0005121401,0.000019472023,0.002732192,0.00017598805,0.0000880839,0.00000979429,0.0011510762,0.9944173,0.000097756136,0.0000067534884,0.00050447305,0.0002849619],"about_ca_topic_score_codex":0.0006389038,"about_ca_topic_score_gemma":0.0003191982,"teacher_disagreement_score":0.47796035,"about_ca_system_score_codex":0.00019691716,"about_ca_system_score_gemma":0.000019374407,"threshold_uncertainty_score":0.946837},"labels":[],"label_agreement":null},{"id":"W4372190821","doi":"10.1109/icassp49357.2023.10095418","title":"Downlink Covariance Estimation in URA FDD Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Carleton University","funders":"","keywords":"Telecommunications link; Covariance matrix; Covariance; Computer science; MIMO; Transformation (genetics); Algorithm; Base station; Topology (electrical circuits); Antenna (radio); Control theory (sociology); Mathematics; Electronic engineering; Channel (broadcasting); Telecommunications; Engineering; Statistics","score_opus":0.01081595447623739,"score_gpt":0.23255413953464177,"score_spread":0.22173818505840437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372190821","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":[0.003079251,0.00012133367,0.98942655,0.00007045349,0.0007346399,0.0004035868,0.000008150903,0.0012339782,0.0049220626],"genre_scores_gemma":[0.98206675,0.00004376366,0.016686099,0.000009065065,0.00005497295,0.00012343502,0.00007178523,0.000039000333,0.0009051013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992497,0.00001858747,0.00028762195,0.00014516473,0.00009359392,0.00020533729],"domain_scores_gemma":[0.9996573,0.000060274237,0.00003321745,0.00017899819,0.000035033274,0.000035206634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012855326,0.000112413785,0.00015080335,0.00018217858,0.000023775066,0.00003417872,0.00007754761,0.00008218387,0.000019002142],"category_scores_gemma":[0.000052966137,0.00011600188,0.000016951775,0.000689882,0.0000081549815,0.00027195262,0.000014148741,0.00008429117,0.0005314624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001365625,0.0000025706486,0.00006814509,0.000098806246,0.000006206974,0.000008936617,0.000107981316,0.9935128,0.00090069143,0.003727276,0.0008555576,0.0007096808],"study_design_scores_gemma":[0.00017927123,0.000005558884,0.00025053485,0.00008335311,0.0000023153739,0.0000031862749,0.00016189393,0.99831736,0.00036967229,0.00022479199,0.00026917327,0.00013287221],"about_ca_topic_score_codex":0.00004044817,"about_ca_topic_score_gemma":0.000019732832,"teacher_disagreement_score":0.9789875,"about_ca_system_score_codex":0.00013824957,"about_ca_system_score_gemma":0.000009576045,"threshold_uncertainty_score":0.6831052},"labels":[],"label_agreement":null},{"id":"W4372347993","doi":"10.1109/icassp49357.2023.10096991","title":"Channel Estimation with Tightly-Coupled Antenna Arrays","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Antenna (radio); MIMO; Estimator; Coupling (piping); Transmitter; Channel (broadcasting); Minimum mean square error; Computer science; Electronic engineering; Antenna array; Topology (electrical circuits); Telecommunications; Mathematics; Electrical engineering; Engineering; Statistics","score_opus":0.009751173474317166,"score_gpt":0.209842104333776,"score_spread":0.20009093085945884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4372347993","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":[0.0035281975,0.000015560776,0.99166894,0.000042749147,0.00015544915,0.00016807133,0.0000015214317,0.0019611097,0.0024583812],"genre_scores_gemma":[0.9753372,0.000018782126,0.023227753,0.000012324886,0.00004746448,0.000045057433,0.00005209051,0.00004609215,0.0012132135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995392,0.000003643747,0.00011296141,0.0001036366,0.000078862526,0.0001617281],"domain_scores_gemma":[0.9997625,0.000017854,0.000016017053,0.00013455462,0.000031966098,0.00003711824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048736907,0.000094507566,0.00009456342,0.00009888711,0.00003437923,0.000016280785,0.000047172052,0.00003597549,0.00003051816],"category_scores_gemma":[0.000011170421,0.00007761801,0.000012640634,0.00042589052,0.000008523281,0.00020202083,0.000006748948,0.00004404229,0.0003296601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000239656,0.0000021038263,0.000018041275,0.00003276408,0.000009688164,0.0000033303886,0.00012467388,0.9960589,0.0031197872,0.00012688334,0.00027565417,0.00022577758],"study_design_scores_gemma":[0.00019391967,0.000014195437,0.00014007525,0.000028399452,0.000003898138,0.00000414206,0.000076673336,0.9983666,0.00086142,0.00015775242,0.00003883765,0.000114108174],"about_ca_topic_score_codex":0.000006035843,"about_ca_topic_score_gemma":0.000013578413,"teacher_disagreement_score":0.971809,"about_ca_system_score_codex":0.000030919455,"about_ca_system_score_gemma":0.000004507936,"threshold_uncertainty_score":0.4237224},"labels":[],"label_agreement":null},{"id":"W4376480547","doi":"10.1109/wcnc55385.2023.10119040","title":"Transmission Rate Analysis for Large Scale Uplink Networks in the Finite Block-Length Regime","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Computer science; Telecommunications link; Power control; Code rate; Linear network coding; Block code; Coding (social sciences); Reliability (semiconductor); Decoding methods; Algorithm; Mathematics; Telecommunications; Power (physics); Computer network; Statistics; Network packet; Physics","score_opus":0.011075092603174366,"score_gpt":0.23632956658289064,"score_spread":0.22525447397971626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376480547","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":[0.001872307,0.00012023731,0.99605167,0.00016240872,0.0000836866,0.00037937888,0.0000060267753,0.00037410384,0.0009501945],"genre_scores_gemma":[0.99145347,0.00023204982,0.0065224296,0.000060825863,0.0000805884,0.00013366209,0.00014278521,0.000038061728,0.0013361514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992267,0.000036647176,0.00023966987,0.00016022314,0.000056544846,0.00028025292],"domain_scores_gemma":[0.9994188,0.00026863362,0.000023261338,0.00023214787,0.000024619145,0.000032516364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005441774,0.00011427421,0.00018119448,0.00020703033,0.000065563036,0.000023969942,0.00012923752,0.000087525215,0.000022861643],"category_scores_gemma":[0.00001791288,0.00008436894,0.000101739846,0.0017448624,0.0000048059173,0.000091363676,0.0000085703,0.00010214077,0.000014489375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053394383,0.0000066081966,0.00025102167,0.00002080445,0.000043723467,0.0000012896834,0.0004169698,0.99756444,0.000054815657,0.00009639705,0.0007686864,0.000769939],"study_design_scores_gemma":[0.0003395995,0.000008462384,0.0004462899,0.000015474328,0.000059233185,2.890544e-7,0.00019860452,0.9959843,0.00008443899,0.000070920396,0.002681653,0.00011073516],"about_ca_topic_score_codex":0.000005107511,"about_ca_topic_score_gemma":0.000093482326,"teacher_disagreement_score":0.98958117,"about_ca_system_score_codex":0.00002260069,"about_ca_system_score_gemma":0.0000037235218,"threshold_uncertainty_score":0.34404653},"labels":[],"label_agreement":null},{"id":"W4377001549","doi":"10.1109/tcomm.2023.3277041","title":"Power Allocation for Adaptive-Connectivity Wireless Networks Under Imperfect CSI","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"National Research Foundation of Korea","keywords":"Computer science; MIMO; Channel state information; Transmitter power output; Transmission (telecommunications); Power control; Wireless; Channel (broadcasting); Throughput; Wireless network; Computer network; Signal-to-noise ratio (imaging); Interference (communication); Real-time computing; Power (physics); Transmitter; Telecommunications","score_opus":0.028603687142327083,"score_gpt":0.2676376317139196,"score_spread":0.2390339445715925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377001549","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":[0.0027209474,0.000110709945,0.9929909,0.0003094523,0.0006250679,0.00078803976,0.000068156114,0.0013951068,0.0009916384],"genre_scores_gemma":[0.9931899,0.0005420443,0.004715292,0.000035388624,0.000028880197,0.0010606073,0.00006511873,0.000089326386,0.00027346285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999037,0.00009093117,0.00028867464,0.00020970282,0.00009330179,0.0002803917],"domain_scores_gemma":[0.99781805,0.00070366997,0.000051174968,0.0012185929,0.00013717891,0.000071338436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022770469,0.00019561342,0.00019034845,0.00022663546,0.0004951946,0.000036405792,0.00039040425,0.00014472913,0.00001917486],"category_scores_gemma":[0.000007276356,0.00023004427,0.00012066799,0.0007772699,0.000068696354,0.00030053174,0.0000036624288,0.00029858545,0.000073527095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013598917,0.000058661983,0.0000021729884,0.0000121010735,0.000071290604,9.150628e-8,0.00018880128,0.99131143,0.0016140616,0.0014026327,0.0003383203,0.0049868333],"study_design_scores_gemma":[0.00039790384,0.000060322043,0.000092803784,0.000043775166,0.000033455734,0.0000026540906,0.00027294812,0.995528,0.0023513027,0.0003577364,0.0006125232,0.00024660685],"about_ca_topic_score_codex":0.0000165134,"about_ca_topic_score_gemma":0.00024006079,"teacher_disagreement_score":0.9904689,"about_ca_system_score_codex":0.00021177274,"about_ca_system_score_gemma":0.000027107742,"threshold_uncertainty_score":0.93809336},"labels":[],"label_agreement":null},{"id":"W4377294066","doi":"10.3390/s23104929","title":"Lightweight LSTM-Based Adaptive CQI Feedback Scheme for IoT Devices","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea; National Research Foundation","keywords":"Computer science; Channel state information; Overhead (engineering); Internet of Things; Scheme (mathematics); Base station; Coding (social sciences); Channel (broadcasting); Real-time computing; Scheduling (production processes); Computer network; Computer engineering; Wireless; Embedded system; Engineering; Telecommunications; Operating system","score_opus":0.018786459761761357,"score_gpt":0.23877510471464397,"score_spread":0.21998864495288262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377294066","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":[0.5558371,0.0007551356,0.41641855,0.00070865697,0.0029054773,0.0028841128,0.00025416407,0.0077293855,0.012507431],"genre_scores_gemma":[0.9131565,0.000016056782,0.08390937,0.00005630702,0.00033820773,0.00012815476,0.00009745445,0.00015689436,0.0021410428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917597,0.000014421099,0.0002030966,0.00020120553,0.000101074715,0.00030426573],"domain_scores_gemma":[0.9994827,0.00013296428,0.000040910116,0.00019976069,0.000078193705,0.00006550707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000841747,0.00016778919,0.00018000997,0.0001406213,0.00006868761,0.000019102317,0.000093627146,0.00009570359,0.000018796783],"category_scores_gemma":[0.000043680753,0.00017085839,0.00006699129,0.00041240113,0.000018107843,0.00006428766,0.000011205277,0.00007478932,0.00032392968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015060489,0.0000052236696,0.00009361686,0.000116730436,0.00003267263,0.0000040444697,0.00014202764,0.9936917,0.0027177194,0.0004516954,0.002245183,0.0004843161],"study_design_scores_gemma":[0.00047051816,0.00003183521,0.00016759358,0.00007042352,0.000012104027,0.000001052739,0.00019862737,0.9658085,0.01933226,0.00011246859,0.01354701,0.00024757025],"about_ca_topic_score_codex":0.000004183703,"about_ca_topic_score_gemma":0.000027045397,"teacher_disagreement_score":0.35731944,"about_ca_system_score_codex":0.00007384686,"about_ca_system_score_gemma":0.000017848673,"threshold_uncertainty_score":0.69674027},"labels":[],"label_agreement":null},{"id":"W4377708826","doi":"10.1109/tvt.2023.3279295","title":"A Unified Joint Optimization of Training Sequences and Transceivers Based on Matrix-Monotonic Optimization","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Engineering and Physical Sciences Research Council; National Natural Science Foundation of China","keywords":"MIMO; Channel state information; Benchmark (surveying); Computer science; Transceiver; Transmitter; Algorithm; Optimization problem; Mathematical optimization; Joint (building); Channel (broadcasting); Mathematics; Wireless; Engineering; Telecommunications","score_opus":0.015414538861305522,"score_gpt":0.22783451492983822,"score_spread":0.2124199760685327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377708826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010925905,0.000046159115,0.98637646,0.00023910608,0.00022232169,0.0004774222,0.000029684717,0.0015127229,0.0001702413],"genre_scores_gemma":[0.96093965,0.0002853867,0.038534425,0.000012912479,0.0000072779317,0.00011432426,0.00001969757,0.000060286387,0.00002604803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885964,0.00003982201,0.00037531072,0.00030279768,0.0001576233,0.00026481546],"domain_scores_gemma":[0.9994538,0.00005650854,0.000079956415,0.0002880814,0.00007312319,0.00004853622],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014332669,0.00022632502,0.0003062828,0.0012723978,0.00012032911,0.000013972452,0.000116108095,0.00033298184,0.000025849191],"category_scores_gemma":[0.000011297791,0.0002513489,0.0000749472,0.001491359,0.00012600399,0.00014670825,6.0876897e-7,0.0002655588,0.00000710614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020208387,0.000023273291,0.0000017294128,0.00007563561,0.000038493305,0.0000065531435,0.0001640479,0.9866099,0.010310754,0.00010976576,0.000003485551,0.002636202],"study_design_scores_gemma":[0.0006862066,0.00017252691,0.000002814539,0.00012804953,0.00004336272,0.000009444537,0.00041748548,0.9478635,0.050411478,0.000050310773,0.000013997918,0.00020082349],"about_ca_topic_score_codex":0.0000051598618,"about_ca_topic_score_gemma":0.0000059503814,"teacher_disagreement_score":0.95001376,"about_ca_system_score_codex":0.000106969186,"about_ca_system_score_gemma":0.00003610917,"threshold_uncertainty_score":0.99999386},"labels":[],"label_agreement":null},{"id":"W4378174655","doi":"10.1109/twc.2023.3277821","title":"Asynchronous Bidirectional Communication in Cell-Free Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transceiver; Computer science; Beamforming; Asynchronous communication; Intersymbol interference; Transmission (telecommunications); Channel (broadcasting); Computer network; Topology (electrical circuits); Telecommunications; Wireless; Electrical engineering; Engineering","score_opus":0.016536721878521763,"score_gpt":0.24141706019082954,"score_spread":0.22488033831230778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378174655","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":[0.006802035,0.0005007663,0.985262,0.00035115035,0.00044661676,0.00046313097,0.000052663563,0.0016752282,0.00444645],"genre_scores_gemma":[0.9862768,0.006099019,0.0065594786,0.000027404578,0.000020592279,0.00060059293,0.000105573854,0.00008495239,0.000225559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987011,0.00016911689,0.00046710184,0.00020031519,0.00015015612,0.00031219472],"domain_scores_gemma":[0.99675035,0.0004489374,0.00006332659,0.0025854798,0.000075983495,0.000075939715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024692275,0.00021281683,0.0002176212,0.0005275481,0.0004045004,0.00004235838,0.0010706086,0.00017070484,0.000034227935],"category_scores_gemma":[0.0000060675943,0.00026798566,0.00008365401,0.0016733258,0.000111001915,0.0003074588,0.000013625513,0.00062985084,0.00017496724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005539308,0.00011336291,0.000035277964,0.00001994682,0.000019210307,7.103121e-7,0.00027817299,0.9901362,0.0005230394,0.00033374233,0.0005269743,0.008007822],"study_design_scores_gemma":[0.00062056014,0.000018397022,0.00026033315,0.00010129207,0.000015271524,0.000004885775,0.0002182189,0.99569374,0.0018567563,0.0002365081,0.00068988185,0.00028415537],"about_ca_topic_score_codex":0.0000788196,"about_ca_topic_score_gemma":0.0011359337,"teacher_disagreement_score":0.9794748,"about_ca_system_score_codex":0.00031151483,"about_ca_system_score_gemma":0.00003248665,"threshold_uncertainty_score":0.99997723},"labels":[],"label_agreement":null},{"id":"W4378364811","doi":"10.1109/twc.2023.3278490","title":"The Robustness of Favorable Propagation in Massive MIMO to Location and Phase Errors","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Beamforming; Robustness (evolution); MIMO; Computer science; Algorithm; Propagation of uncertainty; Gaussian; Interference (communication); Telecommunications; Physics; Channel (broadcasting)","score_opus":0.023856315056210695,"score_gpt":0.2768268866257796,"score_spread":0.25297057156956887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378364811","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":[0.055844527,0.000087144035,0.9421905,0.00064021605,0.00018140137,0.00069998036,0.000023968092,0.00022510107,0.00010715388],"genre_scores_gemma":[0.9961165,0.00092890096,0.002255297,0.000005591714,0.000006753143,0.00052946695,0.000019346002,0.000032211054,0.00010591489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916214,0.00008707672,0.00035381006,0.00012836595,0.000104850114,0.00016374997],"domain_scores_gemma":[0.998708,0.00026997217,0.000060046004,0.00078028644,0.00013314944,0.000048508187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021501744,0.000115617266,0.00013976757,0.00029302354,0.00028566248,0.00002414712,0.00029897664,0.00006271758,0.0000018421291],"category_scores_gemma":[0.000014017478,0.00011163102,0.000023586646,0.0014769343,0.00008854422,0.00020161044,0.0000044453145,0.00018657859,0.0000132548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012165567,0.000058831673,0.0000041197595,0.000042155567,0.000015568048,1.2959478e-7,0.00065485865,0.97603625,0.004917494,0.00032389775,0.000038803595,0.017895697],"study_design_scores_gemma":[0.00043924965,0.000037575795,0.00007215974,0.000139203,0.00001380549,0.0000011484005,0.00096983515,0.98680216,0.0112527795,0.000038771617,0.000112052585,0.000121258294],"about_ca_topic_score_codex":0.000037478112,"about_ca_topic_score_gemma":0.00083022733,"teacher_disagreement_score":0.940272,"about_ca_system_score_codex":0.0001075846,"about_ca_system_score_gemma":0.00003024341,"threshold_uncertainty_score":0.4552181},"labels":[],"label_agreement":null},{"id":"W4379157543","doi":"10.5539/nct.v8n1p8","title":"Integration of Small Cells with Smart Antennas in Macrocells for Improving the Performance of Mobile Telephone Networks","year":2023,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Macrocell; Computer science; Cellular network; Computer network; Heterogeneous network; Femtocell; Telecommunications; Wireless network; Base station; Wireless","score_opus":0.008419056999046801,"score_gpt":0.19689695478333946,"score_spread":0.18847789778429266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379157543","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":[0.708983,0.00465864,0.28471735,0.00003996705,0.000055673416,0.0008730932,0.0000034097122,0.0005965621,0.00007232114],"genre_scores_gemma":[0.97411054,0.006902159,0.018672684,0.0000020002667,0.000005472554,0.0002567474,0.000016448515,0.000015364565,0.000018583169],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947673,0.000015706968,0.0002590095,0.000079007215,0.00003509705,0.00013447463],"domain_scores_gemma":[0.99923724,0.00016630096,0.00011985793,0.0004084551,0.00006324526,0.0000049247283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025017778,0.00008567219,0.00015628502,0.00007884121,0.000060913495,0.0000080993605,0.0002474981,0.00009148159,2.6491125e-7],"category_scores_gemma":[0.00001272527,0.00006306144,0.000012614779,0.0005925337,0.000111630885,0.0000743595,0.00007875056,0.00013562462,2.2610125e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015862192,0.000005252532,0.00081927615,0.00009500329,0.000006595155,3.2558695e-8,0.00017329978,0.9363828,0.008109891,0.00013655632,0.00004066623,0.05421479],"study_design_scores_gemma":[0.00018525866,0.00010079088,0.00039609856,0.00017675787,0.0000067156025,6.779316e-7,0.0015890729,0.9693852,0.02786988,0.00013663564,0.00007895131,0.00007394891],"about_ca_topic_score_codex":0.0000135528935,"about_ca_topic_score_gemma":0.00010767179,"teacher_disagreement_score":0.26604465,"about_ca_system_score_codex":0.000016033939,"about_ca_system_score_gemma":0.00000529905,"threshold_uncertainty_score":0.2571571},"labels":[],"label_agreement":null},{"id":"W4379471151","doi":"10.1109/tmlcn.2023.3283228","title":"Access Point Clustering in Cell-Free Massive MIMO Using Conventional and Federated Multi-Agent Reinforcement Learning","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Machine Learning in Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Reinforcement learning; Cluster analysis; Computer science; Reinforcement; Point (geometry); MIMO; Distributed computing; Artificial intelligence; Computer network; Mathematics; Engineering; Structural engineering; Channel (broadcasting)","score_opus":0.04482128896893808,"score_gpt":0.294742777721717,"score_spread":0.2499214887527789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379471151","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":[0.029062519,0.0010031153,0.9686864,0.00011188575,0.00022895481,0.00036248178,0.000002885415,0.00032731734,0.000214449],"genre_scores_gemma":[0.9877016,0.005239992,0.006711776,0.000015409556,0.000020148322,0.00008285464,0.000038486538,0.000055090448,0.00013467323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869174,0.00020920688,0.00046441756,0.00023378606,0.000104859035,0.00029597225],"domain_scores_gemma":[0.9992171,0.00027551583,0.00010237918,0.00031321152,0.00003277407,0.000059031878],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041635215,0.00020604098,0.00022592902,0.0004805593,0.00056829635,0.00013159282,0.0002327928,0.00009688999,0.0000106729185],"category_scores_gemma":[0.000009454772,0.00024830288,0.000036179943,0.00071330374,0.000050367766,0.00029027928,0.000045010434,0.0008975749,0.0000026433192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013085958,0.00002421707,0.00280065,0.000064382424,0.000018042094,0.000003582302,0.0005246877,0.9893712,0.0005976303,0.0000048168754,0.0000020901243,0.0065756305],"study_design_scores_gemma":[0.0011847274,0.00003011324,0.00043848815,0.0003926103,0.000013292156,0.0000071507734,0.00034567967,0.9969864,0.00010067527,0.000012992526,0.00026267453,0.00022520572],"about_ca_topic_score_codex":0.00025795875,"about_ca_topic_score_gemma":0.0010638895,"teacher_disagreement_score":0.9619746,"about_ca_system_score_codex":0.00018478627,"about_ca_system_score_gemma":0.0000151566055,"threshold_uncertainty_score":0.9999969},"labels":[],"label_agreement":null},{"id":"W4379528744","doi":"10.1109/tvt.2023.3283306","title":"Joint Mode Selection and Resource Allocation for D2D and Femtocell Users in Dense Heterogeneous Networks with Full Frequency Reuse","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Femtocell; Computer science; Resource allocation; Iterative method; Convex optimization; Power control; Computational complexity theory; Overhead (engineering); Throughput; Frequency allocation; Heterogeneous network; Transmitter power output; Heuristic; Telecommunications link; Wireless network; Channel (broadcasting); Algorithm; Power (physics); Computer network; Wireless; Mathematics; Transmitter; Regular polygon; Base station; Telecommunications","score_opus":0.008600613991823172,"score_gpt":0.20701256045067037,"score_spread":0.1984119464588472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379528744","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37797362,0.00010442105,0.62075174,0.000102857375,0.000042620617,0.00042639283,0.000004151212,0.000590629,0.0000036028218],"genre_scores_gemma":[0.9882722,0.0002626265,0.010963919,0.000011148855,0.000011450395,0.0003890035,0.00000963317,0.00006112102,0.000018933228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991618,0.000020696158,0.00021612701,0.00029163426,0.00005822651,0.00025151236],"domain_scores_gemma":[0.99959767,0.0000332056,0.000037491867,0.00024936275,0.00004384177,0.000038402082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000855674,0.00016829248,0.0001825231,0.00056951045,0.00010155374,0.000015681086,0.00006738429,0.00029344173,8.843019e-7],"category_scores_gemma":[0.0000065778972,0.00018074704,0.000022151266,0.00070681557,0.000048694546,0.000094842515,0.000001688065,0.00024438527,0.0000018653801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003400552,0.000013741623,0.00004554599,0.000049241182,0.00002975807,0.0000072128237,0.00008608476,0.9765284,0.020218134,0.000027870345,0.000009740515,0.002950242],"study_design_scores_gemma":[0.00063551666,0.00021970042,0.000017244927,0.00006390512,0.000028872004,0.00012291153,0.00009872528,0.9704969,0.027824325,0.00023311621,0.000069862246,0.00018893399],"about_ca_topic_score_codex":0.000022036986,"about_ca_topic_score_gemma":0.00060367235,"teacher_disagreement_score":0.6102986,"about_ca_system_score_codex":0.00011732302,"about_ca_system_score_gemma":0.000008801441,"threshold_uncertainty_score":0.737065},"labels":[],"label_agreement":null},{"id":"W4382291999","doi":"10.1109/ojvt.2023.3269890","title":"Energy Efficiency Analysis in Heterogeneous Networks: A Stochastic Geometry Perspective","year":2023,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Istanbul Teknik Üniversitesi; Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Stochastic geometry; Poisson point process; Point process; Poisson distribution; Perspective (graphical); Computer science; Energy consumption; Expression (computer science); Point (geometry); Energy (signal processing); Efficient energy use; Base station; Interference (communication); Base (topology); Process (computing); Mathematical optimization; Mathematics; Geometry; Statistics; Telecommunications; Mathematical analysis; Engineering; Electrical engineering","score_opus":0.00785623568023946,"score_gpt":0.24920992604728404,"score_spread":0.24135369036704457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382291999","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":[0.13617712,0.0017498919,0.8613324,0.00010073986,0.0003120927,0.00013022097,0.000001918644,0.00013240146,0.00006319531],"genre_scores_gemma":[0.99842423,0.00017093195,0.0012686818,0.000009824306,0.000049148715,0.000017308505,0.0000021150308,0.000034664903,0.000023107474],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998771,0.000042815485,0.0005270364,0.00018798889,0.0001438723,0.00032728855],"domain_scores_gemma":[0.99922746,0.00005189396,0.00019376421,0.00027262678,0.00019832402,0.000055924807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033560107,0.00016190206,0.00053019635,0.0028744445,0.000043000517,0.000038273185,0.0006631022,0.0002168978,0.000011324919],"category_scores_gemma":[0.00008029983,0.0001596503,0.00012782057,0.0066007217,0.000052840296,0.00017817799,0.000085112086,0.0003220883,0.000007836102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010034819,0.000024051058,0.00015016424,0.0000039258675,0.0003507437,0.00032237024,0.000063948704,0.9967197,0.00095313875,0.0003140697,0.000033023203,0.0010548049],"study_design_scores_gemma":[0.0005255382,0.0001238414,0.000060904662,0.000056896068,0.00014944506,0.0002734682,0.00052788475,0.9958776,0.0013305077,0.0008397607,0.0000455557,0.00018859083],"about_ca_topic_score_codex":0.000025589767,"about_ca_topic_score_gemma":0.00008453209,"teacher_disagreement_score":0.8622471,"about_ca_system_score_codex":0.0002943652,"about_ca_system_score_gemma":0.00002842441,"threshold_uncertainty_score":0.651035},"labels":[],"label_agreement":null},{"id":"W4382318739","doi":"10.1609/aaai.v37i12.26684","title":"Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network","year":2023,"lang":"en","type":"article","venue":"Proceedings of the AAAI Conference on Artificial Intelligence","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Alberta","funders":"","keywords":"Handover; Computer science; Cellular network; Network performance; Key (lock); Graph; Distributed computing; Artificial intelligence; Machine learning; Theoretical computer science; Computer network","score_opus":0.04674955456329356,"score_gpt":0.26388443109024445,"score_spread":0.2171348765269509,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382318739","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":[0.12101206,0.00009290358,0.8730106,0.00033347096,0.0017588225,0.001778494,0.00000980463,0.00047141555,0.0015324674],"genre_scores_gemma":[0.99847883,0.000052071846,0.0009453054,0.000043361473,0.00019114545,0.0001657396,0.000008734811,0.000042467156,0.00007233634],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984292,0.00001189094,0.0006224664,0.0003021039,0.00017686005,0.00045748125],"domain_scores_gemma":[0.9991837,0.00019096803,0.00019094137,0.0001492246,0.00023448654,0.000050663577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039026313,0.00023058147,0.00029190877,0.00015368154,0.00011418327,0.000107697604,0.0003778914,0.00013816093,0.000019854933],"category_scores_gemma":[0.00023756702,0.00020271946,0.00010783741,0.0009889429,0.00008583734,0.00030622663,0.000048711125,0.00024142538,0.000014644286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071784365,0.000015411815,0.00025777495,0.000092189715,0.000014622065,3.398807e-7,0.0003413632,0.9177621,0.01723248,0.054748874,0.00022168658,0.009241373],"study_design_scores_gemma":[0.000054865228,0.00005308666,0.00009105987,0.00023817702,0.000010802419,5.4056187e-7,0.00020324529,0.9210665,0.05428549,0.023773562,0.00002540272,0.00019723215],"about_ca_topic_score_codex":0.000010271647,"about_ca_topic_score_gemma":0.000016935799,"teacher_disagreement_score":0.8774668,"about_ca_system_score_codex":0.00005576207,"about_ca_system_score_gemma":0.000012671589,"threshold_uncertainty_score":0.82666594},"labels":[],"label_agreement":null},{"id":"W4382365095","doi":"10.1109/itw55543.2023.10160245","title":"Robustness of Massive MIMO to Location and Phase Errors","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Robustness (evolution); MIMO; Computer science; Control theory (sociology); Telecommunications; Artificial intelligence; Beamforming; Chemistry","score_opus":0.014473609472130356,"score_gpt":0.2632413833899496,"score_spread":0.24876777391781926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382365095","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":[0.07145017,0.00002033351,0.9273921,0.000042856125,0.00012688385,0.00015692238,0.0000027012775,0.00023569488,0.00057229784],"genre_scores_gemma":[0.9887374,0.000012323249,0.010790137,0.000004199209,0.000021949467,0.000019647565,0.000011542368,0.000015834707,0.00038693286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971056,0.0000040529294,0.00010622193,0.000067454974,0.000038936538,0.00007276395],"domain_scores_gemma":[0.99981314,0.000015103059,0.000012766707,0.00008097242,0.00004533101,0.000032669323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036531164,0.000048448168,0.00007105568,0.00009415077,0.000010690024,0.000003628611,0.000026613181,0.00002415199,0.00001168092],"category_scores_gemma":[0.000023937859,0.000049167902,0.0000059985123,0.00038004143,0.000006257866,0.0000816636,0.000010592858,0.000017212871,0.000012165351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021393807,0.00000305807,0.000012586879,0.000064317464,0.0000053730178,3.942683e-7,0.00013732161,0.9913891,0.00601334,0.00014808071,0.0007146362,0.0015096373],"study_design_scores_gemma":[0.00024587463,0.000017609103,0.00006980576,0.00002728018,0.000003949449,6.768372e-7,0.00032266678,0.9883586,0.010798473,0.000010712424,0.00007938658,0.00006493526],"about_ca_topic_score_codex":0.0000045003335,"about_ca_topic_score_gemma":0.000010285893,"teacher_disagreement_score":0.9172873,"about_ca_system_score_codex":0.000016112544,"about_ca_system_score_gemma":0.0000033673148,"threshold_uncertainty_score":0.20050088},"labels":[],"label_agreement":null},{"id":"W4382395096","doi":"10.18280/ts.400316","title":"Deep Learning-Based Adaptive Beamforming for Interference Cancellation in V2I Scenarios","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Adaptive beamformer; Beamforming; Interference (communication); Computer science; Single antenna interference cancellation; Artificial intelligence; Telecommunications; Channel (broadcasting)","score_opus":0.018181217634712712,"score_gpt":0.23290286822824488,"score_spread":0.21472165059353215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382395096","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":[0.017924799,0.00004154465,0.9807367,0.000021092488,0.00013960006,0.0005669987,0.000006700295,0.0003665298,0.00019607352],"genre_scores_gemma":[0.99294657,0.000008139303,0.0065297023,0.0000120957975,0.00007025124,0.00023428422,0.00009820522,0.000036789465,0.000063981395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991865,0.00001913029,0.00027315159,0.00016574482,0.0000968343,0.00025864795],"domain_scores_gemma":[0.9997049,0.00009975207,0.00004951218,0.00006379033,0.000044960598,0.000037075548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018170428,0.00013310579,0.00014064292,0.00019679242,0.000054884935,0.000018208408,0.00007517973,0.000051855015,0.000042797383],"category_scores_gemma":[0.000020505786,0.00015002115,0.000035500707,0.00030566353,0.000011725139,0.00015662916,0.000009338937,0.00010609932,0.00001817567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035010613,0.000008069677,0.0003862806,0.00007123877,0.000009408858,0.000001494625,0.00067746465,0.98949796,0.002772614,0.00006325483,0.000051448915,0.00642576],"study_design_scores_gemma":[0.0007369244,0.000099057055,0.00027065145,0.000116359486,0.000006108321,3.4286163e-7,0.00030849956,0.995745,0.0021433092,0.00005264378,0.0003629535,0.00015814367],"about_ca_topic_score_codex":0.000018785679,"about_ca_topic_score_gemma":0.00023837815,"teacher_disagreement_score":0.9750218,"about_ca_system_score_codex":0.0002229766,"about_ca_system_score_gemma":0.000017457523,"threshold_uncertainty_score":0.6117685},"labels":[],"label_agreement":null},{"id":"W4382541822","doi":"10.18280/mmep.100344","title":"Performance of Downlink Channel Equalization in Various Modulation Mappings for Long Term Evolution Systems","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Term (time); Equalization (audio); Telecommunications link; Modulation (music); Computer science; Channel (broadcasting); Electronic engineering; Telecommunications; Physics; Engineering; Acoustics","score_opus":0.02299085867602972,"score_gpt":0.21196846469192218,"score_spread":0.18897760601589247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382541822","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":[0.16399711,0.00017193265,0.83483547,0.0000035900975,0.00010714688,0.0005026956,0.0000037953264,0.00035306002,0.000025175828],"genre_scores_gemma":[0.9903834,0.000099117286,0.00917664,3.3128532e-7,0.000034919292,0.00019033361,0.000039295333,0.000049757775,0.0000262141],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990263,0.0000063614393,0.0004670477,0.00015640755,0.00010293649,0.0002409585],"domain_scores_gemma":[0.9996689,0.00007395736,0.000052440573,0.000116414034,0.000049334863,0.000038980244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032139543,0.00014935475,0.0002514003,0.0002687606,0.000030134679,0.000021735312,0.0000532107,0.00011242145,3.7288294e-7],"category_scores_gemma":[0.000023797269,0.00015853015,0.00002533023,0.00033828395,0.000009357823,0.0001875725,0.000013331916,0.00007609578,0.0000028386119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028729437,0.000008580129,0.00008408394,0.005698299,0.000011718935,1.8672118e-7,0.00060380384,0.98947567,0.0012422623,0.002727679,0.0000012156978,0.00014362088],"study_design_scores_gemma":[0.00024054518,0.000024420477,0.00012810655,0.0010357613,0.000010018321,0.0000034652064,0.000015021084,0.9970369,0.00008811363,0.001254934,0.0000018089744,0.00016090718],"about_ca_topic_score_codex":0.00000403907,"about_ca_topic_score_gemma":3.5835518e-7,"teacher_disagreement_score":0.8263863,"about_ca_system_score_codex":0.00007641706,"about_ca_system_score_gemma":0.000004387215,"threshold_uncertainty_score":0.6464672},"labels":[],"label_agreement":null},{"id":"W4382653350","doi":"10.1002/9781119873747.ch1","title":"Deep Reinforcement Learning and Its Applications","year":2023,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Reinforcement learning; Computer science; Data science; Artificial intelligence","score_opus":0.007289158701237019,"score_gpt":0.2285564089983202,"score_spread":0.22126725029708316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382653350","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.1867774e-8,0.0007395276,0.5408584,0.0000013535284,0.00004714548,0.00021015693,3.1222342e-7,0.001907125,0.45623595],"genre_scores_gemma":[0.0006362052,0.0022489228,0.002496113,0.0000029710884,0.00012953347,0.00024553787,0.000027442473,0.0008762464,0.99333704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996685,0.000002683438,0.00009440096,0.00010106605,0.000042405853,0.00009099066],"domain_scores_gemma":[0.9998487,0.000014410908,0.000026171889,0.00007436804,0.000007717221,0.000028633458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000017899036,0.000103025275,0.00009787885,0.000098489305,0.00001783984,0.0000087741455,0.000031590014,0.00009631639,0.00042511325],"category_scores_gemma":[0.000007350186,0.000108978566,0.000010465175,0.000088543224,0.0000034948373,0.00002257196,0.000015836353,0.00007644315,0.0004219574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.00746384e-7,5.4811215e-7,0.0000027534154,0.00015635978,0.000026980391,3.303947e-7,0.000018270182,0.9814737,0.000018489238,0.0014675464,0.014028719,0.0028062102],"study_design_scores_gemma":[0.000054325785,0.0000026056837,2.5603987e-7,0.000049013317,0.0000067675983,7.220132e-7,0.000021585025,0.38275895,0.000017805838,0.000005574514,0.61695826,0.0001241455],"about_ca_topic_score_codex":0.000006327875,"about_ca_topic_score_gemma":0.00006595178,"teacher_disagreement_score":0.60292953,"about_ca_system_score_codex":0.00002890421,"about_ca_system_score_gemma":0.0000018796079,"threshold_uncertainty_score":0.54235494},"labels":[],"label_agreement":null},{"id":"W4383220456","doi":"10.1109/tcomm.2023.3292482","title":"Minimum Symbol Error Probability Discrete Symbol Level Precoding for MU-MIMO Systems With PSK Modulation","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Fundação de Amparo à Pesquisa do Estado de São Paulo; Agence Nationale de la Recherche","keywords":"Precoding; Symbol (formal); Modulation (music); MIMO; Phase-shift keying; Quadrature amplitude modulation; Mathematics; Computer science; Algorithm; Electronic engineering; Bit error rate; Telecommunications; Decoding methods; Channel (broadcasting); Engineering; Physics","score_opus":0.0829865496730114,"score_gpt":0.29299418660000004,"score_spread":0.21000763692698865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383220456","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":[0.0056404523,0.00007366008,0.9882195,0.00027404318,0.00055294594,0.0025676358,0.0005027315,0.0015056022,0.0006634214],"genre_scores_gemma":[0.97585195,0.00011767955,0.019705359,0.0000064403116,0.00003746426,0.003197983,0.00018263726,0.00011448195,0.000786011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984716,0.00011301002,0.0005488657,0.00032610705,0.00018519159,0.000355197],"domain_scores_gemma":[0.9973376,0.00048193123,0.00010845155,0.0017525034,0.00021664586,0.00010286892],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029766047,0.00028169618,0.00030555043,0.00029546316,0.00062796887,0.000080935235,0.00049983634,0.00014859751,0.000007593639],"category_scores_gemma":[0.000019193967,0.00028674366,0.00011123396,0.000822292,0.000093001785,0.00048482922,0.000005126507,0.00029300005,0.000049921422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002335463,0.000062974,0.000025435344,0.00022043496,0.00009374219,1.6742145e-7,0.0006583774,0.99543256,0.0015744803,0.00026789817,0.00010424252,0.0015363148],"study_design_scores_gemma":[0.0005958654,0.000073788484,0.00018433009,0.00023127034,0.000078847064,0.0000062959894,0.00069575297,0.99624395,0.0009670571,0.00018422597,0.0003988389,0.00033978562],"about_ca_topic_score_codex":0.00004296237,"about_ca_topic_score_gemma":0.0003994027,"teacher_disagreement_score":0.9702115,"about_ca_system_score_codex":0.00029100294,"about_ca_system_score_gemma":0.000045426394,"threshold_uncertainty_score":0.99995846},"labels":[],"label_agreement":null},{"id":"W4384284091","doi":"10.1109/twc.2023.3293502","title":"Hierarchical Semi-Online Optimization for Cooperative MIMO Networks With Information Parsing","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Calgary; Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centre of Innovation","keywords":"Precoding; Computer science; Channel state information; MIMO; Backhaul (telecommunications); Overhead (engineering); Transmitter power output; Fading; Zero-forcing precoding; Channel (broadcasting); Computer network; Base station; Wireless; Telecommunications; Transmitter","score_opus":0.019271067822150722,"score_gpt":0.25639108989231496,"score_spread":0.23712002207016425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384284091","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":[0.0013843152,0.000042485935,0.9953863,0.0003543842,0.00025005016,0.0009219255,0.00023415587,0.0012144005,0.00021197248],"genre_scores_gemma":[0.92344666,0.00095773,0.07340581,0.00007147973,0.000036147103,0.00076899957,0.0011656729,0.0000740668,0.00007344396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889284,0.000072873896,0.00043213068,0.00015311768,0.00013203348,0.0003170125],"domain_scores_gemma":[0.9983757,0.00038021445,0.000078699384,0.0008197314,0.00025697637,0.000088657354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001403605,0.00022109988,0.00022068649,0.00032375226,0.00065060053,0.00007934317,0.00034171736,0.00014323667,0.000010882689],"category_scores_gemma":[0.0000084757385,0.00022696346,0.00006334959,0.0011148052,0.000107857435,0.0007944167,0.0000041719964,0.00037173353,0.00001843548],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000330816,0.000056197907,0.0000032396265,0.000035148067,0.000056146517,1.5584399e-7,0.00044376112,0.9860822,0.00008064028,0.00020131018,0.00014024685,0.01286789],"study_design_scores_gemma":[0.0006576234,0.00007382903,0.000010964634,0.00012905398,0.00003931913,0.0000051141974,0.00036636792,0.9972577,0.000608515,0.000011628383,0.0005904817,0.00024941703],"about_ca_topic_score_codex":0.00000842933,"about_ca_topic_score_gemma":0.00011358179,"teacher_disagreement_score":0.92206234,"about_ca_system_score_codex":0.00015354242,"about_ca_system_score_gemma":0.00004112433,"threshold_uncertainty_score":0.9255301},"labels":[],"label_agreement":null},{"id":"W4384519409","doi":"10.1109/twc.2023.3294459","title":"Energy-Efficient Power Allocation Maximization for Multi-User MIMO Broadcast Channel","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Toronto Metropolitan University","funders":"","keywords":"Computer science","score_opus":0.033668202295043616,"score_gpt":0.2681194112418555,"score_spread":0.2344512089468119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384519409","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":[0.00089139404,0.00013176662,0.9952336,0.00029020364,0.0007485301,0.0007115163,0.00017796684,0.0015809577,0.00023407262],"genre_scores_gemma":[0.97832954,0.00093803124,0.017377317,0.00005030229,0.000025342422,0.0016250946,0.00029266512,0.00014062082,0.0012211126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867827,0.00007485044,0.00046554572,0.00028032713,0.00016051935,0.00034049893],"domain_scores_gemma":[0.9980259,0.00020233839,0.000087528955,0.0013386136,0.0002457318,0.000099884186],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016636564,0.0002598018,0.00021561737,0.00046529327,0.0005619926,0.000053334166,0.00051865325,0.00017132555,0.000015952726],"category_scores_gemma":[0.0000078563635,0.00030936347,0.00012913074,0.0010615623,0.000076118056,0.00022086491,0.0000058389433,0.00020259092,0.0000988946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010728622,0.00017513659,9.406158e-7,0.000033585864,0.00005236548,1.9858258e-7,0.0006696388,0.985162,0.0034220181,0.0013097115,0.00032948866,0.00883415],"study_design_scores_gemma":[0.0006653001,0.000030332714,0.000015746768,0.00007083007,0.000033984852,0.0000027850922,0.00031281344,0.9854896,0.008977074,0.00003349453,0.004064369,0.00030367257],"about_ca_topic_score_codex":0.000024913612,"about_ca_topic_score_gemma":0.00013013574,"teacher_disagreement_score":0.9778563,"about_ca_system_score_codex":0.00021495657,"about_ca_system_score_gemma":0.000031762662,"threshold_uncertainty_score":0.99993587},"labels":[],"label_agreement":null},{"id":"W4384934710","doi":"10.1145/3610402","title":"Where Are the (Cellular) Data?","year":2023,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scarcity; Data science; Cellular network; Artificial intelligence; Data integration; Machine learning; Data mining; Telecommunications","score_opus":0.11362667106253392,"score_gpt":0.3296816303960246,"score_spread":0.21605495933349067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384934710","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[3.419544e-7,0.79958874,0.19684014,0.000007439055,0.0016235467,0.0005039832,0.00013669551,0.0011498629,0.00014925646],"genre_scores_gemma":[0.000015063558,0.99552256,0.001950997,0.000003397153,0.0007315927,0.000014466952,0.0011571615,0.00030108422,0.00030370028],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99726266,0.000912879,0.00072466186,0.0005056408,0.00019300627,0.0004011528],"domain_scores_gemma":[0.99465644,0.0017273077,0.00031690474,0.003188542,0.00005665134,0.000054137847],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0028028088,0.000464778,0.0011496028,0.00011033772,0.00015973324,0.00011142359,0.0025350049,0.0002686232,0.0000076143215],"category_scores_gemma":[0.00063563825,0.0003501689,0.00015266419,0.0007911944,0.000030791838,0.00010146781,0.001186532,0.00062560505,0.00069898216],"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":[6.9640336e-8,0.000004383186,0.000016098817,0.023339614,0.0002446243,0.000022692326,0.00003655597,0.06412031,9.531367e-8,0.000012764345,0.011082617,0.9011202],"study_design_scores_gemma":[0.000057053767,0.0000031319935,0.0000068998784,0.017436702,0.00016894675,0.0000130581375,0.00003253603,0.0490284,1.4435743e-7,0.000016248798,0.9327266,0.0005102642],"about_ca_topic_score_codex":0.000030139725,"about_ca_topic_score_gemma":0.00010601976,"teacher_disagreement_score":0.921644,"about_ca_system_score_codex":0.00011004917,"about_ca_system_score_gemma":0.00004574137,"threshold_uncertainty_score":0.99989504},"labels":[],"label_agreement":null},{"id":"W4385154389","doi":"10.1109/tsp.2023.3297049","title":"Uplink to Downlink Channel Covariance Transformation in FDD Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Carleton University","funders":"","keywords":"Telecommunications link; Covariance; Computer science; Base station; Antenna array; Channel (broadcasting); Algorithm; Antenna (radio); Mathematics; Topology (electrical circuits); Transformation (genetics); Electronic engineering; Control theory (sociology); Telecommunications; Engineering; Statistics","score_opus":0.020136737431962592,"score_gpt":0.2483845864964905,"score_spread":0.2282478490645279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385154389","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":[0.0033264994,0.000100607744,0.99395764,0.00008450113,0.0005449135,0.0005740453,0.000019064862,0.001015452,0.00037726064],"genre_scores_gemma":[0.998073,0.00003752503,0.0013130903,0.000030570365,0.00006687557,0.00028126416,0.000011155196,0.00006258238,0.0001239512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987424,0.000025597485,0.00045494142,0.0002383617,0.00018737142,0.00035131272],"domain_scores_gemma":[0.99963254,0.00004149154,0.00003299583,0.00012912237,0.00007015436,0.000093718554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023564494,0.00020608587,0.00022618442,0.0005720301,0.0001492797,0.000080925376,0.00011744079,0.00013037388,0.000009474397],"category_scores_gemma":[0.000002065373,0.00023067258,0.00004305662,0.0015792188,0.0000131820725,0.0006276648,4.456345e-7,0.00026240747,0.00020769461],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020794681,0.000016350183,5.1711964e-7,0.0003195113,0.000007788226,0.000004233121,0.0015469242,0.97137743,0.0054498776,0.000010780996,0.000021782878,0.021224031],"study_design_scores_gemma":[0.00038921618,0.000033072705,0.000009107989,0.0004960431,0.000008957788,0.000010280983,0.00041234263,0.9887029,0.009560013,0.00003494038,0.00009214633,0.00025100965],"about_ca_topic_score_codex":0.000018294653,"about_ca_topic_score_gemma":0.00002384697,"teacher_disagreement_score":0.9947465,"about_ca_system_score_codex":0.00020708061,"about_ca_system_score_gemma":0.000031660675,"threshold_uncertainty_score":0.94065547},"labels":[],"label_agreement":null},{"id":"W4385216811","doi":"10.1109/tvt.2023.3298565","title":"Multi-Cell Over-the-Air Computation Systems With Spectrum Sharing: A Perspective From $\\alpha$-Fairness","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Dalhousie University","funders":"","keywords":"Convexity; Alpha (finance); Mathematical optimization; Computer science; Wireless; Semidefinite programming; Beamforming; Optimization problem; Convex optimization; Computation; Coordinate descent; Mathematics; Algorithm; Regular polygon","score_opus":0.009432663072368203,"score_gpt":0.22408741598226092,"score_spread":0.21465475290989272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385216811","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09801351,0.00026606894,0.8968932,0.0002313148,0.0006387589,0.00066444796,0.000043667478,0.0031721885,0.000076821125],"genre_scores_gemma":[0.9968859,0.000057140333,0.0024125997,0.000010850104,0.0000393072,0.00031018918,0.000016726048,0.00010505595,0.00016221462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986657,0.00003129728,0.00028415973,0.000466227,0.00018931551,0.00036330995],"domain_scores_gemma":[0.9992189,0.00006525058,0.00007709672,0.00049345597,0.00009538161,0.00004995983],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000865784,0.00028920203,0.0002943065,0.00058976415,0.00023301746,0.00003807033,0.0002815699,0.00029431607,0.000008127447],"category_scores_gemma":[0.000003728272,0.0002515747,0.00007354576,0.0015217139,0.00010621693,0.00016402565,0.0000034851435,0.00051906414,0.0001555173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014266606,0.000060268405,0.00003196511,0.00003426045,0.00012076003,0.000036093512,0.0003156032,0.9949692,0.003922058,0.0001596601,0.000028410248,0.00030744987],"study_design_scores_gemma":[0.0010900983,0.000100204226,0.00013274937,0.00009333082,0.00006634532,0.00003352604,0.0025969197,0.9781124,0.017053645,0.00029452532,0.000111044574,0.00031518628],"about_ca_topic_score_codex":0.0002244543,"about_ca_topic_score_gemma":0.00020458146,"teacher_disagreement_score":0.8988724,"about_ca_system_score_codex":0.0003822879,"about_ca_system_score_gemma":0.0000212039,"threshold_uncertainty_score":0.9999936},"labels":[],"label_agreement":null},{"id":"W4385689093","doi":"10.1109/bsc57238.2023.10201827","title":"Distributed Multi-Pair Computation for Intra C-RAN Bidirectional Communications","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"C-RAN; Radio access network; Computer science; Overhead (engineering); Cloud computing; Computation; Central processing unit; Ran; Distributed computing; Computer network; Power (physics); Base station; Computer hardware; Algorithm","score_opus":0.03700163951733149,"score_gpt":0.2928588320845051,"score_spread":0.2558571925671736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385689093","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":[0.0007381922,0.00004435957,0.99603087,0.00021037446,0.0002579533,0.0003392575,0.00011979193,0.0019390507,0.00032012994],"genre_scores_gemma":[0.76695585,0.000050311228,0.22909413,0.000015134063,0.000058085414,0.00026771578,0.003104062,0.00004328465,0.00041141876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956715,0.000012979972,0.00017043306,0.00008455548,0.000044036526,0.00012081626],"domain_scores_gemma":[0.9995287,0.00016574128,0.000020218651,0.00017536628,0.000078865785,0.00003110166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008074232,0.00007248673,0.00008021223,0.00008516222,0.00010553219,0.000016637152,0.00009470547,0.00004351652,0.000005607797],"category_scores_gemma":[0.000051355768,0.00007961088,0.00003103679,0.00038043695,0.000017678833,0.000117198186,0.000020609972,0.00004742829,0.000060527655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001663741,0.000012470987,0.00013159854,0.00003894397,0.000019204686,9.502626e-8,0.00008223136,0.98989147,0.00091357576,0.000983897,0.0055203107,0.0024045284],"study_design_scores_gemma":[0.00032376972,0.0000063531675,0.0005801614,0.000009149717,0.000004928688,0.0000011148431,0.00011343887,0.9918068,0.0004820169,0.0001853499,0.006395538,0.000091377304],"about_ca_topic_score_codex":0.000007016798,"about_ca_topic_score_gemma":0.000042046944,"teacher_disagreement_score":0.7669368,"about_ca_system_score_codex":0.00006996734,"about_ca_system_score_gemma":0.000006898167,"threshold_uncertainty_score":0.32464376},"labels":[],"label_agreement":null},{"id":"W4385691479","doi":"10.1109/bsc57238.2023.10201826","title":"Optimizing Uniform Linear Arrays for Massive MIMO Applications","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Computer science; Interference (communication); Noise (video); Signal-to-noise ratio (imaging); Regular polygon; Convex optimization; Mathematical optimization; Bounded function; Mathematics; Telecommunications; Beamforming","score_opus":0.016513009022128287,"score_gpt":0.25367857341652184,"score_spread":0.23716556439439354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385691479","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":[0.00003736971,0.000027155691,0.98785526,0.00006652361,0.00014490924,0.00069950934,0.000022099712,0.0015627588,0.009584401],"genre_scores_gemma":[0.037205074,0.00009155147,0.9565577,0.000033082953,0.0003394658,0.0016308466,0.0002684488,0.00010879336,0.0037650405],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994436,0.0000025255517,0.00017078173,0.00012868286,0.000049134633,0.00020530523],"domain_scores_gemma":[0.9996202,0.00006415383,0.000022484883,0.00018608483,0.00005914003,0.00004791207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059996488,0.00009820598,0.00010377251,0.00010253447,0.000075788754,0.000014117412,0.00008812489,0.00005721421,0.000018562778],"category_scores_gemma":[0.000014828958,0.0001011693,0.00004035886,0.0003738215,0.000009190808,0.0001344419,0.000014531273,0.00004799955,0.00019315409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010059645,0.0000025816378,0.000001790159,0.00005575751,0.00001198447,2.3337194e-7,0.000089986985,0.9924606,0.0015687136,0.0035341987,0.0013749275,0.0008981912],"study_design_scores_gemma":[0.00020014505,0.000007398455,0.0000011160256,0.0000100539555,0.0000064608607,6.7646425e-7,0.00029260392,0.96495056,0.004074433,0.0003728577,0.02995632,0.00012737572],"about_ca_topic_score_codex":0.000001517175,"about_ca_topic_score_gemma":0.000005042139,"teacher_disagreement_score":0.037167706,"about_ca_system_score_codex":0.00005437762,"about_ca_system_score_gemma":0.000007925163,"threshold_uncertainty_score":0.41255644},"labels":[],"label_agreement":null},{"id":"W4385800879","doi":"10.1109/vtc2023-spring57618.2023.10200653","title":"Uplink Power Allocation for RSMA-aided User-centric Cell-free Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Telecommunications link; Computer science; Bisection method; Mathematical optimization; Resource allocation; MIMO; Power control; Power (physics); Convex optimization; Transmission (telecommunications); Optimization problem; Geometric programming; Distributed computing; Regular polygon; Algorithm; Computer network; Mathematics; Telecommunications","score_opus":0.010275393004967916,"score_gpt":0.21916746377661483,"score_spread":0.20889207077164693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385800879","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":[0.0032459828,0.00025504542,0.9863768,0.00011548777,0.0016378395,0.0013825324,0.000026308957,0.001716977,0.0052430285],"genre_scores_gemma":[0.9661407,0.000072001654,0.016779764,0.000023236507,0.00022053592,0.0006030899,0.00024650135,0.00016566059,0.015748516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884284,0.00001655899,0.00039136343,0.00024991133,0.00013404535,0.0003652954],"domain_scores_gemma":[0.9991004,0.0001284354,0.00006070815,0.00047048632,0.00015668213,0.000083285595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001577645,0.00019521642,0.00021868394,0.00022757228,0.00007018406,0.000057619767,0.00022047364,0.00013875213,0.00003897616],"category_scores_gemma":[0.000094410025,0.00019811238,0.000067384484,0.0005909361,0.000008999402,0.00025039978,0.000039928545,0.00007281918,0.00040726666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053527033,0.000009962022,0.000027519054,0.00025616554,0.000025769963,0.0000020147088,0.00010534746,0.94056004,0.005113382,0.0026059707,0.05118627,0.00010217433],"study_design_scores_gemma":[0.0008607425,0.00003553598,0.000035453526,0.00004667123,0.000023482911,0.0000029319974,0.00051682116,0.9840519,0.007933545,0.00015596901,0.0060194326,0.0003175474],"about_ca_topic_score_codex":0.000017269007,"about_ca_topic_score_gemma":0.0000075118523,"teacher_disagreement_score":0.96959704,"about_ca_system_score_codex":0.00016655457,"about_ca_system_score_gemma":0.000017914115,"threshold_uncertainty_score":0.8078788},"labels":[],"label_agreement":null},{"id":"W4385801533","doi":"10.1109/vtc2023-spring57618.2023.10200450","title":"Intelligent Subcarrier Allocation in Hybrid Beamforming Multi-User mMIMO-OFDM Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Subcarrier; Orthogonal frequency-division multiplexing; Beamforming; Computer science; Baseband; Mathematical optimization; Electronic engineering; Algorithm; Channel (broadcasting); Computer network; Engineering; Telecommunications; Mathematics","score_opus":0.018832132133273907,"score_gpt":0.24719002675392027,"score_spread":0.22835789462064637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385801533","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":[0.029466946,0.00019664665,0.96645385,0.00001788796,0.0010037625,0.0005510371,0.0000054298857,0.0011965429,0.0011079018],"genre_scores_gemma":[0.99119115,0.00012176155,0.0049626296,0.000010273474,0.00008219907,0.00015690751,0.00008058255,0.000074463926,0.0033200248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989054,0.000021163847,0.00043553865,0.00020035601,0.00012642433,0.00031106913],"domain_scores_gemma":[0.9995599,0.000042909393,0.00003572016,0.00024545734,0.00005163871,0.000064409374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024701972,0.00016390439,0.00018492609,0.00030916283,0.00003870907,0.000038674472,0.000117644195,0.00006579671,0.000018992465],"category_scores_gemma":[0.000046458823,0.00016933397,0.00003259794,0.0005580835,0.0000114423065,0.00033331718,0.00002946116,0.00011303962,0.00035162942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016309465,0.00000713673,0.00055852334,0.00010647313,0.0000113056,0.000006393772,0.00028671842,0.9943333,0.0020853204,0.00103402,0.0003253057,0.0012438516],"study_design_scores_gemma":[0.0001831248,0.0000074335794,0.0001353581,0.000085643216,0.0000039273423,0.00000643826,0.0009842158,0.9858257,0.008555379,0.000021175003,0.0039713853,0.00022020194],"about_ca_topic_score_codex":0.00011416741,"about_ca_topic_score_gemma":0.000110347835,"teacher_disagreement_score":0.9617242,"about_ca_system_score_codex":0.0002279565,"about_ca_system_score_gemma":0.00001164668,"threshold_uncertainty_score":0.6905239},"labels":[],"label_agreement":null},{"id":"W4385815458","doi":"10.1109/vtc2023-spring57618.2023.10199527","title":"Deep Q-Networks Assisted Pre-connect Handover Management for 5G Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Carleton University","funders":"","keywords":"Handover; Computer science; Quality of service; Computer network; Latency (audio); Mobility management; Wireless network; User equipment; Next-generation network; Wireless; Distributed computing; Telecommunications; Base station","score_opus":0.009602699769576386,"score_gpt":0.2254031452568247,"score_spread":0.2158004454872483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385815458","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":[0.00014285528,0.00023608403,0.98257244,0.000013712951,0.00090437586,0.0008624513,0.0000013811531,0.0016209757,0.013645727],"genre_scores_gemma":[0.96444535,0.0002825723,0.024141489,0.000072229624,0.00041030292,0.00070909644,0.00021824302,0.00014808963,0.009572604],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990765,0.000012382085,0.00024914928,0.0002093258,0.00007611892,0.00037653785],"domain_scores_gemma":[0.999521,0.00010768296,0.00003087257,0.00025091632,0.000031754502,0.000057737696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014407243,0.00016475994,0.00017376758,0.00009480292,0.0000684759,0.000041833482,0.000113418704,0.00010363077,0.00004761902],"category_scores_gemma":[0.000011770263,0.00016414394,0.000067551264,0.0004141738,0.000008563761,0.00012956497,0.000021733178,0.00007149454,0.00003552308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001292909,0.000004587625,0.00004710875,0.00008059778,0.00008346028,0.0000031067611,0.000023568999,0.97764677,0.000009082958,0.0007700019,0.0098776845,0.011441132],"study_design_scores_gemma":[0.00066864345,0.000015400932,0.00062988536,0.00003653053,0.000024204664,0.0000016239959,0.000032128348,0.99480706,0.000045848963,0.000084378466,0.0034444404,0.000209847],"about_ca_topic_score_codex":0.0000030413464,"about_ca_topic_score_gemma":0.00003939297,"teacher_disagreement_score":0.96430254,"about_ca_system_score_codex":0.000073750096,"about_ca_system_score_gemma":0.0000015001486,"threshold_uncertainty_score":0.66935956},"labels":[],"label_agreement":null},{"id":"W4386243327","doi":"10.18280/mmep.100427","title":"Minimum Mean Square Error Algorithm for Improving Spectral Efficiency by Reducing Power Consumption of Beamforming in 5G Networks","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Sains Malaysia","keywords":"Minimum mean square error; MATLAB; Mean squared error; Algorithm; Precoding; Computer science; Kalman filter; Beamforming; Power (physics); Spectral density; Spectral efficiency; Mathematical optimization; Mathematics; Statistics; Telecommunications; Artificial intelligence; MIMO","score_opus":0.0154049914115114,"score_gpt":0.21987695548614652,"score_spread":0.20447196407463514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386243327","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":[0.06796282,0.00042949044,0.9305511,0.0000039988786,0.00013969358,0.0004807498,0.000010210136,0.00039234877,0.000029578461],"genre_scores_gemma":[0.85156006,0.00005049444,0.14814511,7.8320886e-7,0.000028758941,0.00009405971,0.000021080656,0.000075302894,0.000024364866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869275,0.000006106679,0.00053434994,0.00023029759,0.00010782218,0.00042865085],"domain_scores_gemma":[0.9995508,0.00015497614,0.00005496724,0.00013971406,0.00002813687,0.000071405135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038750446,0.00020875558,0.00032555693,0.00019146233,0.000042049796,0.00002733924,0.000077683806,0.00012554886,0.0000021805397],"category_scores_gemma":[0.000027718916,0.00021986167,0.00004991476,0.00026133243,0.00001940963,0.00014423653,0.000017081216,0.00016427302,0.0000017990494],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017154476,0.000014560159,0.0000033588522,0.0014729316,0.0000097068705,5.5618074e-7,0.0010245255,0.992303,0.00337702,0.00028753586,0.000005697497,0.0014993955],"study_design_scores_gemma":[0.00031292095,0.000037581063,0.0000011380913,0.0006270333,0.000012439375,0.0000050673207,0.000092382295,0.9973424,0.00094516174,0.00039157635,0.0000061470273,0.00022614287],"about_ca_topic_score_codex":0.000007875507,"about_ca_topic_score_gemma":5.4349283e-7,"teacher_disagreement_score":0.78359723,"about_ca_system_score_codex":0.000059690323,"about_ca_system_score_gemma":0.00000470799,"threshold_uncertainty_score":0.89656985},"labels":[],"label_agreement":null},{"id":"W4386260472","doi":"10.1109/infocomwkshps57453.2023.10226135","title":"Implementing an Open 5G Standalone Testbed: Challenges and Lessons Learnt","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Testbed; Upload; Computer science; Multimedia; Open source; Computer architecture; World Wide Web; Operating system; Software","score_opus":0.06790240346270932,"score_gpt":0.328371859588355,"score_spread":0.2604694561256457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386260472","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":[0.22815204,0.008894292,0.40286377,0.004090407,0.0010900939,0.0037715482,0.000121703866,0.012023294,0.33899286],"genre_scores_gemma":[0.9891167,0.0017663126,0.007921063,0.0000098699165,0.000055471526,0.000044936533,0.000030517625,0.000055494915,0.0009996188],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993445,0.000015632948,0.00014351222,0.00016751229,0.00006287925,0.0002659447],"domain_scores_gemma":[0.9996964,0.000033863158,0.000018377692,0.00016810778,0.00002362067,0.00005966729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030245032,0.0000925652,0.00012413324,0.00006680352,0.00008480668,0.00006653534,0.00012054391,0.00003313188,0.000040934607],"category_scores_gemma":[0.000020375046,0.00009208658,0.0000067155265,0.0001202879,0.000008150888,0.00041971728,0.00011957276,0.00005401238,0.00002543386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000109204975,0.000039723458,0.00064918766,0.00045690502,0.00011399165,0.000027932672,0.006752841,0.35024807,0.02841946,0.04893304,0.0021532313,0.5621947],"study_design_scores_gemma":[0.0030043374,0.00035542928,0.009811001,0.00025192794,0.000046221343,0.000041154148,0.03410197,0.828336,0.011136691,0.004970727,0.10631591,0.0016286611],"about_ca_topic_score_codex":0.000027729388,"about_ca_topic_score_gemma":0.0005111793,"teacher_disagreement_score":0.7609647,"about_ca_system_score_codex":0.000024865434,"about_ca_system_score_gemma":0.0000055451815,"threshold_uncertainty_score":0.37551817},"labels":[],"label_agreement":null},{"id":"W4386275635","doi":"10.1109/jsac.2023.3310104","title":"A New Virtual Network Topology-Based Digital Twin for Spatial-Temporal Load-Balanced User Association in 6G HetNets","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Heterogeneous network; Computer network; Quality of service; Network topology; Distributed computing; Provisioning; Wireless network; Wireless","score_opus":0.018024605670591737,"score_gpt":0.2734062061041156,"score_spread":0.25538160043352387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386275635","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10032761,0.00040121964,0.89075184,0.002732896,0.0019338859,0.0015381725,0.00010812977,0.0009824618,0.0012237721],"genre_scores_gemma":[0.9897688,0.00015145869,0.008965187,0.000080134465,0.00028460866,0.000106498446,0.00023764739,0.00006503865,0.00034063673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830323,0.0001657281,0.00068041007,0.00016293439,0.00022468244,0.00046299424],"domain_scores_gemma":[0.9979197,0.00093533384,0.00024803283,0.00052385434,0.00026573872,0.00010735126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048828224,0.0002005971,0.0003194604,0.00036119166,0.0001615226,0.000108267646,0.0004935239,0.0002096764,0.000011045698],"category_scores_gemma":[0.0006070763,0.00022875331,0.00007465019,0.0015882277,0.000019285137,0.0003226972,0.00003057087,0.0006755429,0.00003061894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054758715,0.000056799785,0.02221557,0.0000071435725,0.000035645375,0.0000032776097,0.00020286518,0.9645658,0.0002664947,0.00012595241,0.009780348,0.0026853548],"study_design_scores_gemma":[0.0044815964,0.00025418686,0.022274423,0.0005080407,0.000023905613,0.000016673055,0.000114094306,0.954975,0.0003809338,0.0017197983,0.014669318,0.0005820018],"about_ca_topic_score_codex":0.000069044414,"about_ca_topic_score_gemma":0.002869,"teacher_disagreement_score":0.8894412,"about_ca_system_score_codex":0.0014903873,"about_ca_system_score_gemma":0.0003213853,"threshold_uncertainty_score":0.9328289},"labels":[],"label_agreement":null},{"id":"W4386325467","doi":"10.18280/ts.400439","title":"Enhancing 5G Massive MIMO Systems Using a Compressive Sensing-Based Approach","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Compressed sensing; MIMO; Computer science; Real-time computing; Electronic engineering; Telecommunications; Algorithm; Engineering; Beamforming","score_opus":0.022167649491423448,"score_gpt":0.23172123259633257,"score_spread":0.20955358310490912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386325467","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":[0.034963887,0.00015656071,0.96171343,0.000009185824,0.0005070368,0.00073313544,0.000030607196,0.0010498217,0.0008363063],"genre_scores_gemma":[0.9853903,0.0000034621642,0.013987373,0.000018377566,0.00028790484,0.00004509812,0.00012186683,0.000095860065,0.000049727503],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983565,0.000078678786,0.0004841811,0.0003131274,0.00029995033,0.00046755065],"domain_scores_gemma":[0.9993547,0.00009939081,0.00012101105,0.00021405138,0.000103044986,0.00010775211],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022915665,0.0002881822,0.00033795164,0.00026480653,0.00014665443,0.000086346285,0.00012528208,0.000102650185,0.000021281041],"category_scores_gemma":[0.000013964881,0.00030802906,0.0000794365,0.00052695797,0.000032677104,0.00019253502,0.000020078867,0.00014917548,0.00004483168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009228047,0.000014104763,0.000027538803,0.00033517164,0.000057771653,0.000025589685,0.00037805163,0.9042068,0.094492316,0.00006689502,0.00023298242,0.00015355555],"study_design_scores_gemma":[0.000680481,0.00002346172,0.000023084549,0.00026351135,0.00003668346,0.000010674982,0.0007219149,0.9826081,0.015113166,0.000008386666,0.00019324134,0.0003173373],"about_ca_topic_score_codex":0.000029927744,"about_ca_topic_score_gemma":0.0000041635617,"teacher_disagreement_score":0.95042646,"about_ca_system_score_codex":0.00025308516,"about_ca_system_score_gemma":0.00003564272,"threshold_uncertainty_score":0.9999372},"labels":[],"label_agreement":null},{"id":"W4386450152","doi":"10.1109/iccc57788.2023.10233482","title":"Flexible Link Adaptation in Fully-Decoupled RAN: A Machine Learning Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Computer science; Link adaptation; Computer network; Ran; Link level; Base station; Control channel; C-RAN; Decoupling (probability); Radio access network; Channel state information; Channel (broadcasting); Fading; Wireless; Engineering; Telecommunications","score_opus":0.020672835874577387,"score_gpt":0.23011461452708595,"score_spread":0.20944177865250857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386450152","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":[0.005461068,0.00018899729,0.9764295,0.00003422977,0.0001454908,0.00027408786,0.0000013725104,0.0020326297,0.015432601],"genre_scores_gemma":[0.96343863,0.00012620095,0.032134604,0.000008712612,0.000079499645,0.00008964527,0.00018592676,0.000064888925,0.0038718907],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992681,0.000023729259,0.00023905715,0.00015891925,0.000093480354,0.00021669034],"domain_scores_gemma":[0.99975085,0.00004973403,0.000024159093,0.00011717292,0.000022645663,0.000035446425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020608661,0.00011634049,0.00015102333,0.00026248323,0.00003526392,0.000020828784,0.00006709676,0.00007418807,0.000055126893],"category_scores_gemma":[0.000060249946,0.00012155998,0.000025908514,0.00082076405,0.0000059508816,0.00019703874,0.000018153576,0.00017505189,0.00022081353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053590147,0.0000042478746,0.00025331345,0.00006323087,0.0000063287293,0.0000019780375,0.000563338,0.99336135,0.0008497793,0.00024408964,0.000063090294,0.0045838696],"study_design_scores_gemma":[0.0005002107,0.000010960627,0.00015433358,0.000019107807,0.0000024664103,0.0000021714561,0.00034889937,0.9976898,0.000346489,0.0000711007,0.0007195294,0.00013494676],"about_ca_topic_score_codex":0.00004460966,"about_ca_topic_score_gemma":0.000070063936,"teacher_disagreement_score":0.95797753,"about_ca_system_score_codex":0.00006964365,"about_ca_system_score_gemma":0.000007953267,"threshold_uncertainty_score":0.49570718},"labels":[],"label_agreement":null},{"id":"W4386630236","doi":"10.3390/e25091325","title":"Design of Multi-User Noncoherent Massive SIMO Systems for Scalable URLLC","year":2023,"lang":"en","type":"article","venue":"Entropy","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Scalability; Database","score_opus":0.023195133327781663,"score_gpt":0.2498307535593159,"score_spread":0.22663562023153422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386630236","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":[0.0012667022,0.00044324706,0.99583507,0.000009889558,0.00087851874,0.0010548175,0.000027887394,0.00041690547,0.000066968416],"genre_scores_gemma":[0.89635545,0.00027729082,0.093648374,0.000008496581,0.00035001166,0.0010794014,0.000100852776,0.00021864258,0.007961455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992186,0.000022526996,0.0002699986,0.00013994954,0.000097122254,0.00025181638],"domain_scores_gemma":[0.9994946,0.00011884999,0.000065858134,0.00019059725,0.0000817501,0.000048303864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011927244,0.0001252131,0.00021531795,0.00009142539,0.00003343173,0.000015736452,0.00009789791,0.00006922653,0.000013866788],"category_scores_gemma":[0.000048717524,0.00012357847,0.000042546057,0.00022163145,0.000012266865,0.00010285514,0.000015940277,0.000037066533,0.00010043805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010013501,0.0000108237255,0.000065340966,0.00020760951,0.000036558722,0.0000016451867,0.00011844586,0.9625572,0.03107579,0.00068027125,0.005148743,0.000087560846],"study_design_scores_gemma":[0.00076883857,0.000037434813,0.00002305217,0.00007865033,0.000014321607,6.5705524e-7,0.00016405521,0.9838271,0.012088466,0.000024214889,0.0028436417,0.0001295397],"about_ca_topic_score_codex":0.000008798954,"about_ca_topic_score_gemma":6.944821e-7,"teacher_disagreement_score":0.9021867,"about_ca_system_score_codex":0.00009772079,"about_ca_system_score_gemma":0.0000124677545,"threshold_uncertainty_score":0.5039384},"labels":[],"label_agreement":null},{"id":"W4386883085","doi":"10.1109/lwc.2023.3317440","title":"Beamforming Design for Novel Relay-Assisted Multi-User Multi-Tag Symbiotic Radios","year":2023,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Beamforming; Relay; Computer science; Computer network; Telecommunications","score_opus":0.07418319617716958,"score_gpt":0.287455546920909,"score_spread":0.21327235074373946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386883085","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":[0.010523701,0.0001583014,0.98511416,0.00070926914,0.0005605961,0.001299574,0.000054138374,0.0015600973,0.000020190908],"genre_scores_gemma":[0.43083993,0.00018468765,0.56730896,0.00017472968,0.000051494553,0.00079350756,0.00019485058,0.00016846521,0.0002833593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984989,0.00008082914,0.00055060576,0.00027410328,0.00012800378,0.00046755158],"domain_scores_gemma":[0.9973429,0.0006055718,0.00013126475,0.0017255513,0.00010009216,0.000094631825],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034081927,0.00028677573,0.00031443202,0.0003288004,0.0004201532,0.00006469441,0.0009708593,0.0001484671,0.0000017044044],"category_scores_gemma":[0.00007398733,0.00033676284,0.00012054376,0.0007585423,0.00011020694,0.00037459884,0.000086716514,0.00029215773,0.00007656218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000483758,0.00005299612,0.00004540906,0.00008119886,0.000072291274,8.904243e-7,0.00048309672,0.74286956,0.2540404,0.00010847963,0.0012380688,0.0010027728],"study_design_scores_gemma":[0.0014734768,0.000010689615,0.00017750246,0.00015678191,0.00004266293,0.000010731357,0.00021032368,0.9882341,0.007386184,0.0000016116452,0.0018998382,0.00039608564],"about_ca_topic_score_codex":0.000020196803,"about_ca_topic_score_gemma":0.000038057224,"teacher_disagreement_score":0.42031622,"about_ca_system_score_codex":0.00029493365,"about_ca_system_score_gemma":0.000023569282,"threshold_uncertainty_score":0.99990845},"labels":[],"label_agreement":null},{"id":"W4386883164","doi":"10.1109/tgcn.2023.3317674","title":"Fractional Programming-Based Uplink Transmission Power Allocation for User-Centric Cell-Free Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Telecommunications link; Fractional programming; Computer science; Transmission (telecommunications); Power (physics); Convex optimization; Power control; Resource allocation; MIMO; Spectral efficiency; Regular polygon; Mathematics; Nonlinear programming; Computer network; Telecommunications","score_opus":0.02115446064294516,"score_gpt":0.24751650874022177,"score_spread":0.2263620480972766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386883164","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":[0.0002982869,0.0015003212,0.9948913,0.0005105552,0.0006541123,0.001187348,0.000037188263,0.000751365,0.00016953367],"genre_scores_gemma":[0.97232676,0.0017365838,0.024230571,0.000032945423,0.00009045689,0.0010557113,0.00015924148,0.000097398006,0.000270342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986998,0.00007676327,0.00044517027,0.00027276058,0.0001630511,0.00034244586],"domain_scores_gemma":[0.9981915,0.0005168916,0.00011334969,0.0009176741,0.00014509428,0.00011551666],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002597465,0.0002443754,0.00022543607,0.00033993908,0.00071813836,0.000092036855,0.00038953774,0.00018229833,0.000006936077],"category_scores_gemma":[0.0000011391946,0.00027009298,0.00010640798,0.0008369717,0.000057160014,0.00022947938,0.000004833597,0.0003078936,0.000011452944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032928634,0.00009628413,0.00001934655,0.00015849463,0.000056878263,6.2268714e-7,0.000174658,0.87417513,0.0004365024,0.000051536805,0.00047802823,0.124319606],"study_design_scores_gemma":[0.00088725996,0.00007561503,0.000008481109,0.00019829141,0.00006244189,0.000002840179,0.00010557878,0.9516873,0.00032243028,0.000045606605,0.046340484,0.00026369933],"about_ca_topic_score_codex":0.00004577979,"about_ca_topic_score_gemma":0.000031477168,"teacher_disagreement_score":0.97202843,"about_ca_system_score_codex":0.00013884794,"about_ca_system_score_gemma":0.00003740561,"threshold_uncertainty_score":0.99997514},"labels":[],"label_agreement":null},{"id":"W4386949012","doi":"10.2139/ssrn.4575669","title":"A Systematic Review and Analysis of the Detection Algorithms:&amp;nbsp;BER and PSD Estimation for 64-QAM and 256-QAM In&amp;nbsp;M-MIMO System","year":2023,"lang":"en","type":"review","venue":"SSRN Electronic Journal","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":"Horizon College and Seminary","funders":"","keywords":"QAM; Quadrature amplitude modulation; Computer science; Algorithm; MIMO; Electronic engineering; Chemistry; Telecommunications; Bit error rate; Engineering; Decoding methods","score_opus":0.01806515909636698,"score_gpt":0.2929206967855943,"score_spread":0.2748555376892273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386949012","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000015633732,0.76745856,0.22977214,0.000009653073,0.0001545859,0.002473797,0.00003769874,0.00007245451,0.0000054677234],"genre_scores_gemma":[0.0005571121,0.99769896,0.0008640748,0.0000036829215,0.00006489893,0.00044307383,0.000051582694,0.00012225307,0.00019435886],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9962578,0.00036938992,0.0018098658,0.00039044133,0.00025767993,0.00091482815],"domain_scores_gemma":[0.99784184,0.00035603042,0.0011428798,0.00042637307,0.00014926333,0.00008360697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025663683,0.0005189179,0.0030807625,0.00081510015,0.00016808374,0.000082777646,0.00021551237,0.00029842975,9.282107e-7],"category_scores_gemma":[0.0004086163,0.00037997175,0.0004013477,0.0017200487,0.00004160411,0.00024421143,0.000055347544,0.0010608763,0.0000027570381],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003321306,0.000010101526,0.0000050024796,0.92728776,0.003806776,6.239725e-7,0.00010558284,0.0076861195,0.0000023012349,0.00065401045,0.000008017857,0.060430404],"study_design_scores_gemma":[0.0011945965,0.00016724138,0.00001618368,0.7089757,0.08567473,0.0029972568,0.0004897249,0.19410981,0.0000014996036,0.0012002072,0.0036337052,0.0015393916],"about_ca_topic_score_codex":0.000025975844,"about_ca_topic_score_gemma":0.0010783003,"teacher_disagreement_score":0.23024039,"about_ca_system_score_codex":0.0014147094,"about_ca_system_score_gemma":0.00026102655,"threshold_uncertainty_score":0.99986523},"labels":[],"label_agreement":null},{"id":"W4387523695","doi":"10.36227/techrxiv.24247141","title":"Multi-band Wireless Communication Networks: Fundamentals, Challenges, and Resource Allocation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; York University","funders":"","keywords":"Computer science; Resource allocation; Wireless network; Key (lock); Quality of service; Wireless; Radio spectrum; Frequency allocation; Transmission (telecommunications); Computer network; Resource (disambiguation); Telecommunications; Distributed computing; Computer security","score_opus":0.049468168228355966,"score_gpt":0.259788831905016,"score_spread":0.21032066367666002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387523695","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":[0.0022413465,0.04926935,0.9409366,0.0003487585,0.00057184347,0.0012375516,0.000017565071,0.0025299892,0.0028469723],"genre_scores_gemma":[0.8926411,0.08378368,0.020819586,0.00002330944,0.0001491737,0.00033471096,0.00095230626,0.00020817912,0.0010879558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988313,0.00008464685,0.0003977683,0.00036284272,0.000110471025,0.00021299133],"domain_scores_gemma":[0.9988652,0.000098605124,0.000115515184,0.0007933915,0.000054359225,0.00007295649],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002931413,0.00028913253,0.00030559135,0.00012331441,0.00007698574,0.00006954572,0.0002490833,0.00037115178,0.000004996857],"category_scores_gemma":[0.00001545874,0.00032953892,0.000037516864,0.00008005991,0.000042938464,0.000119947195,0.00028741997,0.00042939285,0.000016705022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003258869,0.000013509496,0.000027611732,0.00040348154,0.00006133157,6.5443305e-7,0.0006953421,0.9864767,0.00011652243,0.00026750664,0.000551647,0.011382432],"study_design_scores_gemma":[0.00032178746,0.0000070467404,0.00062712526,0.00053271063,0.00002519167,0.0000029274568,0.000696142,0.9955668,0.00012260054,0.00014716305,0.0015770859,0.00037340538],"about_ca_topic_score_codex":0.0000565312,"about_ca_topic_score_gemma":0.0004247867,"teacher_disagreement_score":0.920117,"about_ca_system_score_codex":0.00018211655,"about_ca_system_score_gemma":0.000009613768,"threshold_uncertainty_score":0.99991566},"labels":[],"label_agreement":null},{"id":"W4387523805","doi":"10.36227/techrxiv.24247141.v1","title":"Multi-band Wireless Communication Networks: Fundamentals, Challenges, and Resource Allocation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; York University","funders":"","keywords":"Computer science; Resource allocation; Wireless network; Key (lock); Quality of service; Wireless; Radio spectrum; Frequency allocation; Transmission (telecommunications); Computer network; Resource (disambiguation); Telecommunications; Distributed computing; Computer security","score_opus":0.049468168228355966,"score_gpt":0.259788831905016,"score_spread":0.21032066367666002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387523805","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":[0.0022413465,0.04926935,0.9409366,0.0003487585,0.00057184347,0.0012375516,0.000017565071,0.0025299892,0.0028469723],"genre_scores_gemma":[0.8926411,0.08378368,0.020819586,0.00002330944,0.0001491737,0.00033471096,0.00095230626,0.00020817912,0.0010879558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988313,0.00008464685,0.0003977683,0.00036284272,0.000110471025,0.00021299133],"domain_scores_gemma":[0.9988652,0.000098605124,0.000115515184,0.0007933915,0.000054359225,0.00007295649],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002931413,0.00028913253,0.00030559135,0.00012331441,0.00007698574,0.00006954572,0.0002490833,0.00037115178,0.000004996857],"category_scores_gemma":[0.00001545874,0.00032953892,0.000037516864,0.00008005991,0.000042938464,0.000119947195,0.00028741997,0.00042939285,0.000016705022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003258869,0.000013509496,0.000027611732,0.00040348154,0.00006133157,6.5443305e-7,0.0006953421,0.9864767,0.00011652243,0.00026750664,0.000551647,0.011382432],"study_design_scores_gemma":[0.00032178746,0.0000070467404,0.00062712526,0.00053271063,0.00002519167,0.0000029274568,0.000696142,0.9955668,0.00012260054,0.00014716305,0.0015770859,0.00037340538],"about_ca_topic_score_codex":0.0000565312,"about_ca_topic_score_gemma":0.0004247867,"teacher_disagreement_score":0.920117,"about_ca_system_score_codex":0.00018211655,"about_ca_system_score_gemma":0.000009613768,"threshold_uncertainty_score":0.99991566},"labels":[],"label_agreement":null},{"id":"W4387760946","doi":"10.1109/ipccc59175.2023.10253879","title":"Placement Optimization and Resource Allocation in UxNB-Enabled Sliced 5G Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Resource allocation; Benchmark (surveying); Enhanced Data Rates for GSM Evolution; Heuristic; Context (archaeology); Distributed computing; Maximization; Cellular network; Slicing; Resource management (computing); Resource (disambiguation); Service (business); Computer network; Artificial intelligence; Mathematical optimization","score_opus":0.0074420617757545516,"score_gpt":0.20794237702468263,"score_spread":0.20050031524892808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387760946","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":[0.0051187607,0.00009688621,0.98758304,0.000067332505,0.00010700258,0.0003714305,6.124513e-7,0.0007296164,0.005925314],"genre_scores_gemma":[0.987502,0.00032128298,0.010360475,0.000045642377,0.00007156382,0.00010875676,0.0001734351,0.000057191526,0.0013596986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999337,0.000022958608,0.00022365549,0.0001531366,0.000071426024,0.00019178563],"domain_scores_gemma":[0.99973935,0.000043849213,0.000024889996,0.00013104134,0.0000216478,0.000039224757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018608409,0.000102730686,0.00010735899,0.00016780396,0.000033767352,0.000027599439,0.000044879347,0.00007570551,0.000025432742],"category_scores_gemma":[0.000022021793,0.00011156085,0.000009139192,0.00057388726,0.000007305946,0.0001785531,0.00001751361,0.000069178684,0.000012579675],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000487185,0.0000033192644,0.00015354363,0.000024826337,0.000005339344,9.5145964e-7,0.00013781946,0.99789,0.00026084078,0.00015676605,0.00083763903,0.0005240961],"study_design_scores_gemma":[0.00043497852,0.000009055624,0.00019415318,0.00003190325,0.0000031971633,0.0000010567819,0.00027292897,0.99825805,0.00020217375,0.000009434132,0.0004637183,0.000119354685],"about_ca_topic_score_codex":0.000011722775,"about_ca_topic_score_gemma":0.000036214562,"teacher_disagreement_score":0.9823832,"about_ca_system_score_codex":0.00008807945,"about_ca_system_score_gemma":0.0000041125068,"threshold_uncertainty_score":0.4549319},"labels":[],"label_agreement":null},{"id":"W4387869976","doi":"10.1109/icc45041.2023.10279718","title":"Machine-Type Communications in mmWave Ultra-Dense Networks: Performance Analysis","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Stochastic geometry; Interference (communication); Bandwidth (computing); Exploit; Monte Carlo method; Radio propagation; Signal-to-noise ratio (imaging); Extremely high frequency; Cellular network; Signal-to-interference-plus-noise ratio; Internet of Things; Computer network; Distributed computing; Telecommunications; Mathematics; Physics; Embedded system","score_opus":0.01737487470722931,"score_gpt":0.2537040761451219,"score_spread":0.2363292014378926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387869976","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":[0.082759865,0.0016584533,0.8536431,0.00016473768,0.0005520206,0.00060250075,0.000013532277,0.003301542,0.05730421],"genre_scores_gemma":[0.99348575,0.002077433,0.0034819331,0.000015670536,0.000017215152,0.000020463587,0.00015710913,0.000023593057,0.0007208516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994066,0.000024751895,0.00022780066,0.00010238157,0.000056698635,0.00018180015],"domain_scores_gemma":[0.9992677,0.00007497277,0.000020934005,0.00057073415,0.000032666216,0.000032972148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014312721,0.0000925178,0.00015308986,0.0003300821,0.000046491274,0.00001512832,0.00019415042,0.00005119926,0.00003809475],"category_scores_gemma":[0.000018122502,0.00009538979,0.00003553038,0.0031429692,0.000016091899,0.00015092024,0.000027568813,0.0001253254,0.00011540877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001440206,0.0000041246644,0.012934563,0.00001011867,0.000052065276,8.4940814e-7,0.00011777611,0.9857176,0.0000823528,0.00012109297,0.00018111411,0.00077688065],"study_design_scores_gemma":[0.00009390178,0.000004826621,0.0053754332,0.000009965623,0.000027946213,8.164131e-7,0.000066409426,0.9938569,0.00006715179,0.000010719476,0.00037915932,0.000106739135],"about_ca_topic_score_codex":0.000039161005,"about_ca_topic_score_gemma":0.0005030363,"teacher_disagreement_score":0.9107259,"about_ca_system_score_codex":0.000059886403,"about_ca_system_score_gemma":0.0000042875763,"threshold_uncertainty_score":0.3889883},"labels":[],"label_agreement":null},{"id":"W4387870383","doi":"10.1109/icc45041.2023.10278592","title":"Bandwidth Gain: The Missing Gain of Massive MIMO","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Science Foundation","keywords":"Bandwidth (computing); Computer science; MIMO; High-gain antenna; Electronic engineering; Telecommunications; Physics; Optoelectronics; Engineering; Beamforming","score_opus":0.013997260722306762,"score_gpt":0.23392667629098737,"score_spread":0.21992941556868062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387870383","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":[0.0029570453,0.00020136154,0.96049595,0.00039878977,0.0003322238,0.00023240277,0.0000051126767,0.00066710653,0.03470998],"genre_scores_gemma":[0.99164975,0.000046776717,0.0059023714,0.00003394896,0.000066366214,0.0000139082285,0.0000101937985,0.000036075537,0.0022406161],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995392,0.000015947799,0.00015847548,0.00007397332,0.000073946365,0.00013845171],"domain_scores_gemma":[0.9996495,0.00009428375,0.000025965152,0.00017786546,0.000028753351,0.00002361683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010934608,0.000073292,0.00009681047,0.00005462666,0.000036206788,0.000010433475,0.00008370279,0.000034842127,0.00005986986],"category_scores_gemma":[0.00004498399,0.000052599527,0.000029504507,0.00031224955,0.000018149054,0.00007054222,0.000017241398,0.000051306757,0.00005725793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010990715,0.0000016299364,0.000051003433,0.000044826294,0.000013071326,0.0000020002349,0.00032027994,0.9830803,0.0077156685,0.0006157081,0.005100159,0.0030542542],"study_design_scores_gemma":[0.00017210527,0.000008224713,0.00012593786,0.00005247887,0.0000069848934,0.0000019733463,0.0005949254,0.96775067,0.028922644,0.0005784222,0.0016727975,0.00011285312],"about_ca_topic_score_codex":0.000007772694,"about_ca_topic_score_gemma":0.00000603737,"teacher_disagreement_score":0.9886927,"about_ca_system_score_codex":0.000024171997,"about_ca_system_score_gemma":0.0000066238026,"threshold_uncertainty_score":0.21449465},"labels":[],"label_agreement":null},{"id":"W4387870849","doi":"10.1109/icc45041.2023.10279025","title":"ETSI/DECT-2020 Component RIT Technology Implementation and Evaluation Contributions in mMTC and URLLC Use Cases","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Digital Enhanced Cordless Telecommunications; Component (thermodynamics); Key (lock); Computer science; Reliability (semiconductor); Systems engineering; Embedded system; Engineering; Telecommunications; Wireless; Operating system","score_opus":0.02326679344408896,"score_gpt":0.32565857674269955,"score_spread":0.3023917832986106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387870849","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":[0.9668954,0.00029713914,0.03103665,0.00034321725,0.000099467936,0.000733111,0.00004944916,0.00047689106,0.00006864935],"genre_scores_gemma":[0.9981533,0.00022162913,0.001254363,0.000008120224,0.000012563005,0.0001280433,0.00019059941,0.000013384975,0.000017979903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993913,0.000029302415,0.00020859393,0.00014061813,0.0000782607,0.00015191172],"domain_scores_gemma":[0.9996678,0.00012155594,0.000024719031,0.000087029024,0.00007046799,0.000028411741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019458708,0.00008478183,0.00011210533,0.00025241368,0.000052643893,0.000026614684,0.000022359605,0.00006497726,0.000022428028],"category_scores_gemma":[0.000113633,0.000092243754,0.0000070499896,0.00045524933,0.000021572698,0.00024160904,0.000026799149,0.000060716404,0.000008682644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025624513,0.00004739872,0.116356164,0.00018057859,0.000104222236,0.00005927958,0.00113072,0.7586482,0.062651135,0.014998605,0.0034303523,0.042367678],"study_design_scores_gemma":[0.0023605835,0.00006144032,0.048762355,0.000047167916,0.000039991883,0.0000750833,0.0022724797,0.93798137,0.006181468,0.0009666674,0.0009673898,0.0002840132],"about_ca_topic_score_codex":0.00015068588,"about_ca_topic_score_gemma":0.0008893744,"teacher_disagreement_score":0.17933312,"about_ca_system_score_codex":0.00011606579,"about_ca_system_score_gemma":0.000009798579,"threshold_uncertainty_score":0.3761591},"labels":[],"label_agreement":null},{"id":"W4387871048","doi":"10.1109/icc45041.2023.10279070","title":"Learning-Based Fronthaul Compression for Uplink Cloud Radio Access Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Overhead (engineering); Telecommunications link; Computer network; Channel state information; Radio access network; Remote radio head; Transmission (telecommunications); Benchmark (surveying); Transmitter; Wireless; Base station; Channel (broadcasting); Telecommunications","score_opus":0.017564271262863557,"score_gpt":0.26755230343931174,"score_spread":0.2499880321764482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387871048","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":[0.0011923689,0.00012395869,0.99386317,0.00004024067,0.0011283534,0.0004385088,0.0000023986247,0.0022197478,0.0009912641],"genre_scores_gemma":[0.98696935,0.000045265362,0.009888667,0.00003379789,0.00048126746,0.00017707112,0.00028570276,0.00010967669,0.002009189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992823,0.000016547458,0.00020140798,0.00016696293,0.000065248416,0.0002675312],"domain_scores_gemma":[0.9995387,0.00015614054,0.000035999197,0.0001672405,0.000042340635,0.000059581056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001223613,0.00013357656,0.00016897409,0.00008680352,0.00009580343,0.00004900949,0.00016095718,0.00010825784,0.00004959826],"category_scores_gemma":[0.000034610766,0.00012910542,0.000052968855,0.0002650189,0.000009988472,0.0001696486,0.000029422285,0.00012886386,0.000037665755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011091614,0.00000329329,0.0003103188,0.000057212957,0.000009936821,9.17889e-7,0.000021712582,0.98075885,0.00012402554,0.000033164,0.01670738,0.0019620785],"study_design_scores_gemma":[0.00055870775,0.000021018514,0.00011295775,0.00004619435,0.000006713779,3.6779988e-7,0.000021443677,0.99147856,0.0008767573,0.000034605386,0.006681905,0.00016073658],"about_ca_topic_score_codex":0.000005760966,"about_ca_topic_score_gemma":0.000006233479,"teacher_disagreement_score":0.985777,"about_ca_system_score_codex":0.00005243012,"about_ca_system_score_gemma":0.000007197623,"threshold_uncertainty_score":0.5264766},"labels":[],"label_agreement":null},{"id":"W4387883716","doi":"10.1109/icc45041.2023.10278946","title":"Hint: a Clue as to Where to Start an Iterative Massive MIMO Detection Process","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); University of Toronto","funders":"","keywords":"MIMO; Computer science; Telecommunications link; Base station; 3G MIMO; Iterative and incremental development; Multi-user MIMO; Computer engineering; Wireless; Iterative method; Channel (broadcasting); Process (computing); Detection theory; Detector; Algorithm; Real-time computing; Telecommunications","score_opus":0.009459702311671567,"score_gpt":0.26232863336884044,"score_spread":0.25286893105716884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387883716","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":[0.15859208,0.000011989182,0.8352673,0.00019874959,0.00035859874,0.00077604636,0.000010943148,0.0015004498,0.0032838434],"genre_scores_gemma":[0.98997355,0.0000038920352,0.0072146705,0.00013062627,0.00011206924,0.0002814066,0.000015296093,0.0000605771,0.0022078971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992452,0.000017196013,0.00017113658,0.00023246235,0.000111377434,0.0002226303],"domain_scores_gemma":[0.9994827,0.000017495728,0.000016813197,0.00017386688,0.00015608176,0.0001530422],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000060779155,0.00014122954,0.00012692416,0.00018686832,0.0000611043,0.000052073854,0.00008355487,0.000060387818,0.000073834795],"category_scores_gemma":[0.00006255489,0.00014128217,0.000018322093,0.00074273907,0.000003907948,0.00040001393,0.000021308424,0.000072595525,0.00082674355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013030476,0.0000052950104,0.000017975715,0.00005008152,0.000010979172,0.0000052510213,0.004869124,0.9759414,0.014584051,0.000068879395,0.00052269606,0.0039112424],"study_design_scores_gemma":[0.00047231163,0.00053995306,0.00020241138,0.00018632023,0.000013234397,0.0000113170645,0.01010129,0.78316736,0.19739887,0.00071400945,0.006405788,0.000787126],"about_ca_topic_score_codex":0.00003955095,"about_ca_topic_score_gemma":0.00086329726,"teacher_disagreement_score":0.8313815,"about_ca_system_score_codex":0.0001337727,"about_ca_system_score_gemma":0.000010966396,"threshold_uncertainty_score":0.99995124},"labels":[],"label_agreement":null},{"id":"W4388040470","doi":"10.1109/pimrc56721.2023.10293789","title":"LOMA Map for Location based Resource Management and Data Transmission in future RAN","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Telecommunications link; Computer science; Computer network; Scheduling (production processes); Radio resource management; Radio access network; Wireless; Real-time computing; Data transmission; Shared resource; Wireless network; Base station; Telecommunications; Engineering; Mobile station","score_opus":0.015617573152802008,"score_gpt":0.2480513455085254,"score_spread":0.23243377235572338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388040470","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":[0.00024474008,0.00024836764,0.9975432,0.0004254044,0.00006156452,0.00049347605,0.00000837472,0.0002972513,0.000677594],"genre_scores_gemma":[0.5947239,0.0003272682,0.39618325,0.00014790583,0.0003131307,0.00029252758,0.003163941,0.00015970337,0.004688401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995719,0.000008041922,0.00011742487,0.00015500974,0.00004683485,0.00010074072],"domain_scores_gemma":[0.9997071,0.000025954627,0.000008645557,0.00022712295,0.000007978976,0.00002320676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013727858,0.00006402282,0.000064290034,0.000106309635,0.000021082595,0.000011221877,0.000082507824,0.000038305578,0.000006189966],"category_scores_gemma":[0.000002519895,0.00006236574,0.000005715704,0.0002322347,0.0000034561274,0.00011594735,0.000015783035,0.000027377124,0.0000052652827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018040728,0.0000054374195,0.00004001253,0.00086104346,0.000006946621,0.0000020277996,0.00011916962,0.9338676,0.00022807879,0.00036776927,0.011091744,0.05339217],"study_design_scores_gemma":[0.0006117016,0.000005676522,0.00029007572,0.00006620596,0.0000052632395,2.2387049e-7,0.00033030295,0.91880274,0.00017342772,0.000063018706,0.07957672,0.00007462424],"about_ca_topic_score_codex":0.0000019485074,"about_ca_topic_score_gemma":0.000013655093,"teacher_disagreement_score":0.60135996,"about_ca_system_score_codex":0.000021735124,"about_ca_system_score_gemma":0.0000020236382,"threshold_uncertainty_score":0.25432009},"labels":[],"label_agreement":null},{"id":"W4388040496","doi":"10.1109/pimrc56721.2023.10293958","title":"UE Centric DU Placement with Carrier Aggregation in O-RAN using Deep Q-Network Algorithm","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada)","funders":"","keywords":"C-RAN; Radio access network; Computer science; Cloud computing; Ran; Computer network; Algorithm; Reinforcement learning; Throughput; Distributed computing; Base station; Wireless; Operating system; Artificial intelligence","score_opus":0.007453351268764665,"score_gpt":0.2068776394300162,"score_spread":0.19942428816125152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388040496","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":[0.012963686,0.00017921824,0.9848251,0.000010637595,0.00028588148,0.00026408982,0.0000033187002,0.0004369645,0.0010311076],"genre_scores_gemma":[0.732048,0.00039335733,0.2656944,0.000042303443,0.00055059587,0.00008737125,0.00017496517,0.00017508125,0.0008339653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926543,0.000019568766,0.00018928968,0.0001454793,0.00011345632,0.00026678707],"domain_scores_gemma":[0.9997342,0.000030921714,0.000027234377,0.00012555745,0.00003909029,0.00004299723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097264245,0.00011491137,0.000119655735,0.00012157408,0.000042707874,0.000018655008,0.00004045658,0.00005107579,0.000032693013],"category_scores_gemma":[0.0000115749535,0.00011144203,0.00001356862,0.0010535545,0.0000068380978,0.00015819978,0.000016257054,0.00006534121,0.00002408875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030389926,0.000003207925,0.0019075385,0.000025112007,0.000011739298,0.000021123735,0.0001868253,0.99096596,0.000040697985,0.000041234398,0.00009743023,0.0066960664],"study_design_scores_gemma":[0.0004637291,0.000008388909,0.0002697625,0.00006606658,0.0000071098175,0.000009797625,0.00023705006,0.99786395,0.00046303673,0.000033654986,0.00043281267,0.0001446649],"about_ca_topic_score_codex":0.0000221312,"about_ca_topic_score_gemma":0.0001861874,"teacher_disagreement_score":0.7191307,"about_ca_system_score_codex":0.00022798518,"about_ca_system_score_gemma":0.000015404468,"threshold_uncertainty_score":0.45444742},"labels":[],"label_agreement":null},{"id":"W4388040554","doi":"10.1109/pimrc56721.2023.10293819","title":"Multi-Connectivity Mobility Management in Downlink FD-RAN: A Learning Based Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Handover; Computer science; Computer network; User equipment; Radio access network; Reinforcement learning; Base station; Quality of service; Cellular network; Mobility management; Ran; C-RAN; Real-time computing; Artificial intelligence; Mobile station","score_opus":0.018867786848495664,"score_gpt":0.24125917386413354,"score_spread":0.22239138701563788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388040554","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":[0.034882978,0.00001963057,0.95585835,0.000011452356,0.000086598,0.00056751387,0.000001594457,0.0015315352,0.0070403465],"genre_scores_gemma":[0.9190547,0.000010253282,0.080114275,0.000007747841,0.0000140104285,0.00019141615,0.00003230915,0.000031782696,0.00054353557],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991316,0.00005332938,0.00020888046,0.00026116686,0.00009137808,0.000253614],"domain_scores_gemma":[0.99963987,0.00007067504,0.000018974388,0.00021573006,0.000016358112,0.00003842304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039434677,0.00013417177,0.00016180227,0.00020285363,0.0000376768,0.000016559898,0.00008361866,0.000065648936,0.00002293838],"category_scores_gemma":[0.000037005935,0.00014026073,0.000036919664,0.0006872145,0.000011122911,0.00013764182,0.000035108565,0.00017113388,0.00007819555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038336675,0.000044272037,0.0012481158,0.00019657254,0.000011054219,0.0000048700063,0.00014514735,0.99464893,0.00024859043,0.000048099897,0.000026203108,0.0033742895],"study_design_scores_gemma":[0.000710313,0.000006113139,0.0045248256,0.000016281092,0.0000035585383,3.5077593e-7,0.00039566026,0.99360085,0.0002519799,0.000014292166,0.00032192245,0.000153878],"about_ca_topic_score_codex":0.000033069766,"about_ca_topic_score_gemma":0.000049106042,"teacher_disagreement_score":0.88417166,"about_ca_system_score_codex":0.0001453555,"about_ca_system_score_gemma":0.000004079476,"threshold_uncertainty_score":0.57196665},"labels":[],"label_agreement":null},{"id":"W4388040592","doi":"10.1109/pimrc56721.2023.10293781","title":"Distributed MIMO Precoding with Routing Constraints in Segmented Fronthaul","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada)","funders":"Research and Development; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; European Commission","keywords":"Computer network; Computer science; MIMO; Routing (electronic design automation); Telecommunications link; Precoding; Destination-Sequenced Distance Vector routing; Static routing; Link-state routing protocol; Dynamic Source Routing; Interference (communication); Distributed computing; Routing protocol; Channel (broadcasting)","score_opus":0.019656296091266193,"score_gpt":0.23508997804347667,"score_spread":0.21543368195221047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388040592","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":[0.0076629333,0.000054733686,0.98514336,0.000026531972,0.0006447569,0.0008274302,0.00020232647,0.0018066483,0.0036312786],"genre_scores_gemma":[0.9669548,0.00003452427,0.031411093,0.0000047855683,0.00006647648,0.00015921958,0.00094163197,0.00012885958,0.0002985846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984981,0.000032093314,0.0005095495,0.00042366865,0.0001436757,0.00039291868],"domain_scores_gemma":[0.9993447,0.00007582028,0.000107269574,0.00034808912,0.000055368317,0.00006877093],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018497827,0.00034890833,0.0004332015,0.00019419675,0.00003055052,0.0000632196,0.00018343971,0.00026540193,0.000056883444],"category_scores_gemma":[0.000061894374,0.00034811636,0.00004528233,0.00026200057,0.000036617028,0.000109749744,0.0001727968,0.00054068386,0.000035992973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005646377,0.000007933115,0.0037701644,0.0002636666,0.00007047707,0.000026713176,0.000197549,0.9946517,0.00013866171,0.000047919057,0.00020978448,0.00060980645],"study_design_scores_gemma":[0.00074343017,0.000011476693,0.0012757006,0.0018237418,0.000025062966,0.000008492211,0.0007248924,0.9936687,0.0009639355,0.00010923072,0.000030466796,0.00061490614],"about_ca_topic_score_codex":0.00010838043,"about_ca_topic_score_gemma":0.0005366948,"teacher_disagreement_score":0.9592919,"about_ca_system_score_codex":0.00046441873,"about_ca_system_score_gemma":0.000042557764,"threshold_uncertainty_score":0.99989706},"labels":[],"label_agreement":null},{"id":"W4388069587","doi":"10.1109/pimrc56721.2023.10293985","title":"User Selection for MU-MIMO Based on Channel Estimation and Spatial Orthogonality","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Huawei Technologies","keywords":"Orthogonality; Selection (genetic algorithm); Computer science; Channel (broadcasting); MIMO; Multi-user MIMO; Estimation; Algorithm; Mathematics; Telecommunications; Artificial intelligence; Engineering; Geometry","score_opus":0.013610742091281018,"score_gpt":0.24622125879989976,"score_spread":0.23261051670861874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388069587","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":[0.012104817,0.0000027877563,0.9861258,0.000052107876,0.00019780394,0.00036963972,0.000010431074,0.0007452476,0.00039136095],"genre_scores_gemma":[0.98425233,0.0000024449948,0.015149028,0.000026670376,0.00007014501,0.000112098074,0.00010517172,0.000028258562,0.00025383665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956197,0.000009745507,0.00012107562,0.00012517307,0.00006221294,0.0001198354],"domain_scores_gemma":[0.9997777,0.00006850492,0.0000186109,0.00006761871,0.000037985523,0.000029616782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011483572,0.00008386181,0.00008034999,0.00009238271,0.00005391632,0.000016515078,0.000019348881,0.000054591383,0.000011652523],"category_scores_gemma":[0.00005306469,0.000085309824,0.000017925822,0.00018369324,0.000005260823,0.00010909245,0.0000041444137,0.000035768888,0.000015642116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001152866,0.0000041701896,0.00036013065,0.00007254379,0.000004152749,8.8611586e-8,0.000019271127,0.9945187,0.0004394622,0.0001929582,0.0003570239,0.004019967],"study_design_scores_gemma":[0.00032467855,0.000035180485,0.0022812453,0.000015844496,0.000005074688,4.904224e-7,0.000008324969,0.9941828,0.002696809,0.0001797935,0.00017625139,0.00009349296],"about_ca_topic_score_codex":0.000033095217,"about_ca_topic_score_gemma":0.00016412906,"teacher_disagreement_score":0.9721475,"about_ca_system_score_codex":0.00004152806,"about_ca_system_score_gemma":0.00000614672,"threshold_uncertainty_score":0.34788337},"labels":[],"label_agreement":null},{"id":"W4388071171","doi":"10.1109/pimrc56721.2023.10293889","title":"Optimal Designs of Uniform Linear Arrays for Multi-User Massive MIMO","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"MIMO; Computer science; Mathematical optimization; Mathematics; Telecommunications; Beamforming","score_opus":0.043536169324007175,"score_gpt":0.28065075688590485,"score_spread":0.23711458756189768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388071171","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":[0.0014494938,0.000014210064,0.99660057,0.00001786116,0.00020515356,0.00043414882,0.00002885925,0.00054807746,0.0007016092],"genre_scores_gemma":[0.05375136,0.000024209749,0.94132626,0.000008794608,0.00007524504,0.000099303106,0.000059137717,0.00006927812,0.0045863963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939907,0.0000051080983,0.00022343898,0.00011177876,0.000059522303,0.00020106515],"domain_scores_gemma":[0.99962366,0.00006160361,0.00003472764,0.00015237505,0.00008570518,0.000041939362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008102803,0.00010886256,0.00015493415,0.000104156905,0.00002691159,0.0000053034296,0.00008473008,0.00007203648,0.000027081203],"category_scores_gemma":[0.000046436144,0.000104672,0.00005241778,0.0002488296,0.0000136615645,0.00013257268,0.000015232899,0.000043878852,0.00005236562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058177447,0.0000066164203,0.000016195552,0.00009729276,0.000023043016,8.286253e-7,0.00015692275,0.9881433,0.009452956,0.0010207439,0.0009517065,0.00012457593],"study_design_scores_gemma":[0.00047449526,0.00002971143,0.000011715175,0.00002061738,0.0000082088945,5.753516e-7,0.00030929898,0.9476919,0.049781576,0.00001670678,0.0015371913,0.00011798145],"about_ca_topic_score_codex":0.000004282524,"about_ca_topic_score_gemma":0.00000801106,"teacher_disagreement_score":0.05527431,"about_ca_system_score_codex":0.000036749047,"about_ca_system_score_gemma":0.000010602095,"threshold_uncertainty_score":0.42684004},"labels":[],"label_agreement":null},{"id":"W4388077584","doi":"10.1109/pimrc56721.2023.10293768","title":"Deep Reinforcement Learning Enabled Power Allocation for Multi-Connectivity C-V2X Downlink","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Reinforcement learning; Telecommunications link; Computer science; Power (physics); Computer network; Reinforcement; Artificial intelligence; Engineering","score_opus":0.01854506347303006,"score_gpt":0.25541008131715404,"score_spread":0.23686501784412398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388077584","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":[0.0031177306,0.000026218624,0.9920167,0.000028011029,0.00032642786,0.00061151397,4.836564e-7,0.0014914832,0.002381461],"genre_scores_gemma":[0.9732423,0.000025016732,0.022613242,0.000016771846,0.00004799474,0.00024019883,0.00010034996,0.000049271126,0.0036648537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926186,0.000014149754,0.0002200491,0.00016754006,0.00007837716,0.00025803223],"domain_scores_gemma":[0.9995957,0.00008463667,0.00003760594,0.00015232558,0.00008449328,0.000045226123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021713958,0.00012672138,0.00013262751,0.000115876035,0.00009375523,0.000024284185,0.00006336243,0.00007596422,0.000060060556],"category_scores_gemma":[0.00016577936,0.0001307438,0.00004427031,0.00026452536,0.0000064097408,0.00024310645,0.00002051418,0.00008334957,0.00014657488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051531197,0.0000047899857,0.00006847382,0.00005512151,0.000021216467,3.780668e-7,0.00032042435,0.9926847,0.004968011,0.0006127486,0.00020657404,0.0010523988],"study_design_scores_gemma":[0.0006076698,0.000030044668,0.00012288739,0.000014335363,0.0000062889007,6.8554743e-7,0.0002716932,0.9917583,0.005282847,0.00003283298,0.0017088455,0.0001635865],"about_ca_topic_score_codex":0.000011087825,"about_ca_topic_score_gemma":0.00003319841,"teacher_disagreement_score":0.97012454,"about_ca_system_score_codex":0.00012592063,"about_ca_system_score_gemma":0.000008018229,"threshold_uncertainty_score":0.53315777},"labels":[],"label_agreement":null},{"id":"W4388108199","doi":"10.18280/ts.400514","title":"Hybrid Deep Learning Approach for 6G MIMO Channel Estimation and Interference Alignment HetNet Environments","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MIMO; Computer science; Interference (communication); Heterogeneous network; Channel (broadcasting); Electronic engineering; Computer network; Wireless; Telecommunications; Wireless network; Engineering","score_opus":0.015391175174921966,"score_gpt":0.21637563700951545,"score_spread":0.20098446183459348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388108199","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":[0.01913177,0.000085180385,0.9795987,0.000012662441,0.000084321684,0.00061444746,0.000013703228,0.00025351718,0.00020571043],"genre_scores_gemma":[0.98357135,0.0000610776,0.015410654,0.000010842732,0.000060666378,0.00035804338,0.00035050308,0.00004227176,0.00013460506],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911726,0.000022054592,0.00025025255,0.00023015632,0.00012775288,0.00025255434],"domain_scores_gemma":[0.999759,0.00003749441,0.000050795963,0.000081681406,0.000008427752,0.00006258288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018299233,0.00016725737,0.00014874375,0.00009551863,0.00009024064,0.000034228986,0.000073453506,0.000035524532,0.000018676445],"category_scores_gemma":[0.000009814562,0.00018196291,0.00002901673,0.0000711524,0.000019533314,0.0001806188,0.000030442685,0.00007075633,0.00001597095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011063775,0.000017334047,0.000046972793,0.00012088397,0.00003248053,9.62681e-7,0.0004899434,0.98519427,0.003925397,0.00006217754,0.00012405893,0.009974449],"study_design_scores_gemma":[0.0005684392,0.000085631196,0.00012757994,0.000030912415,0.000017724306,0.000003881835,0.00015344027,0.99474376,0.0036876767,0.00014173452,0.00026066016,0.00017854274],"about_ca_topic_score_codex":0.0000014453597,"about_ca_topic_score_gemma":3.220021e-7,"teacher_disagreement_score":0.9644396,"about_ca_system_score_codex":0.00009004046,"about_ca_system_score_gemma":0.000002340392,"threshold_uncertainty_score":0.74202317},"labels":[],"label_agreement":null},{"id":"W4388161696","doi":"10.1145/3616390.3618285","title":"Quantifying Network Level Improvement due to Beamforming on the Performance of Large-Scale Dense Urban IoT Networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Beamforming; Computer science; Network performance; Scalability; Network packet; Computer network; Scheduling (production processes); Real-time computing; Telecommunications; Engineering","score_opus":0.02603919095545334,"score_gpt":0.24362254962163232,"score_spread":0.21758335866617898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388161696","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":[0.4355986,0.000044848908,0.56247014,0.000055644592,0.000490674,0.0004477968,0.0000044283343,0.00034693998,0.00054088695],"genre_scores_gemma":[0.9906077,0.000030326044,0.008240177,0.0001527134,0.00024328129,0.000072681105,0.0000111675035,0.000056146517,0.0005858064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886405,0.000013825617,0.0003403598,0.0001694982,0.00015059698,0.0004616862],"domain_scores_gemma":[0.9993996,0.000111951296,0.00005266163,0.00033222116,0.000044556935,0.000058983005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004440668,0.00016412967,0.00019540674,0.00007532576,0.00015249262,0.000018661938,0.00016425968,0.00006507794,0.000023510542],"category_scores_gemma":[0.000017329101,0.00012692813,0.000046568093,0.00064939726,0.000009883228,0.00007733038,0.00006831879,0.00014223797,0.000053723415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008433259,0.00000561981,0.0006553325,0.000048887963,0.000017725511,9.287698e-7,0.0003340481,0.9923882,0.0011869748,0.00037589498,0.003399664,0.0015783005],"study_design_scores_gemma":[0.00013858594,0.00006833399,0.00073597446,0.00014735121,0.000006197906,0.0000013430583,0.00030721808,0.9922165,0.005326193,0.0000047005024,0.00088858197,0.00015896518],"about_ca_topic_score_codex":0.000008525612,"about_ca_topic_score_gemma":0.000083650906,"teacher_disagreement_score":0.55500907,"about_ca_system_score_codex":0.000070210255,"about_ca_system_score_gemma":0.000007028783,"threshold_uncertainty_score":0.5175979},"labels":[],"label_agreement":null},{"id":"W4388405499","doi":"10.1109/blackseacom58138.2023.10299768","title":"Performance Analysis of Zero-Forcing Precoding in Multi-Cell One-Bit Massive MIMO Downlink","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Precoding; Telecommunications link; MIMO; Multi-user MIMO; Computer science; Quantization (signal processing); Base station; Minimum mean square error; Electronic engineering; Zero-forcing precoding; Converters; Bit error rate; Spectral efficiency; Algorithm; Control theory (sociology); Channel (broadcasting); Mathematics; Power (physics); Telecommunications; Engineering; Estimator; Physics; Statistics","score_opus":0.025292889498159377,"score_gpt":0.24200778689767005,"score_spread":0.21671489739951066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388405499","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":[0.5412647,0.00006885231,0.4526985,0.0000077610775,0.00013498338,0.00024451825,0.000009491314,0.0004057719,0.0051654247],"genre_scores_gemma":[0.9797142,0.00014904529,0.01918804,0.0000032607286,0.000010497411,0.000025120604,0.00004242166,0.000027842512,0.00083957036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906594,0.000013555803,0.0004034045,0.00017314627,0.000102382495,0.00024159467],"domain_scores_gemma":[0.9995809,0.00006222263,0.00006778313,0.00020811742,0.000044870194,0.000036113695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016057724,0.00012516395,0.00030706954,0.0007871793,0.000025510353,0.000009874107,0.00010533216,0.000075882024,0.00004395322],"category_scores_gemma":[0.000023179718,0.00013431675,0.000069485555,0.0021532492,0.000009946308,0.00024847724,0.00003327054,0.000100060206,0.000042230433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023551022,0.000011547129,0.017263865,0.00015538013,0.000087098066,0.0000010736812,0.00046887537,0.9706894,0.01045184,0.00001217435,0.000020171494,0.0008361926],"study_design_scores_gemma":[0.0003388911,0.000008458213,0.005649,0.00006311965,0.00007146431,1.11817165e-7,0.00018749779,0.9770465,0.016481197,0.0000026842104,0.000009419429,0.00014169105],"about_ca_topic_score_codex":0.000038419817,"about_ca_topic_score_gemma":0.00012216716,"teacher_disagreement_score":0.4384495,"about_ca_system_score_codex":0.000102499915,"about_ca_system_score_gemma":0.0000072531093,"threshold_uncertainty_score":0.5477278},"labels":[],"label_agreement":null},{"id":"W4388427900","doi":"10.1109/blackseacom58138.2023.10299797","title":"HAPS-Enabled Sustainability Provision in Cellular Networks Through Cell-Switching","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Global Affairs Canada","keywords":"Quality of service; Computer science; Energy consumption; Computer network; Cellular network; Ecological footprint; Footprint; Sustainability; Engineering; Electrical engineering","score_opus":0.0059174053575619685,"score_gpt":0.21846050073431916,"score_spread":0.2125430953767572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388427900","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":[0.0581932,0.00017407612,0.93363166,0.000045955807,0.0002960384,0.00064570166,4.4545772e-7,0.0012704672,0.0057424856],"genre_scores_gemma":[0.99512047,0.000050435578,0.0037516635,0.000011732201,0.000066282955,0.000057897378,0.000022101593,0.0000558618,0.0008635758],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988363,0.000040472263,0.00033793168,0.00025329838,0.0001063017,0.00042574454],"domain_scores_gemma":[0.9994917,0.00007135567,0.0000300801,0.00030683854,0.000057983623,0.000042032392],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031405428,0.00016563042,0.00019584295,0.00010879982,0.000059169368,0.000035128473,0.00011761452,0.00012362225,0.00002560316],"category_scores_gemma":[0.00005368692,0.00016365241,0.00003839538,0.0008453077,0.000008737052,0.00043004606,0.000059718895,0.0002101791,0.0000358762],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037983687,0.000010817737,0.00062565174,0.00018093541,0.0000026981347,0.000016629927,0.00048388235,0.99509525,0.0019174822,0.000318268,0.00042545938,0.00091909454],"study_design_scores_gemma":[0.00033411593,0.000011763233,0.00013204463,0.00002879818,0.0000028093375,5.497182e-7,0.0009182381,0.9931053,0.0031546406,0.0016053993,0.00051143614,0.0001949061],"about_ca_topic_score_codex":0.00011053193,"about_ca_topic_score_gemma":0.000043467633,"teacher_disagreement_score":0.93692726,"about_ca_system_score_codex":0.00030234846,"about_ca_system_score_gemma":0.000020712836,"threshold_uncertainty_score":0.6673552},"labels":[],"label_agreement":null},{"id":"W4388505095","doi":"10.1109/lcomm.2023.3331216","title":"Deep Recurrent Reinforcement Learning for Partially Observable User Association in a Vertical Heterogenous Network","year":2023,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Reinforcement learning; Base station; Scalability; Association (psychology); Wireless network; Computer network; Deep learning; Channel state information; Wireless; Distributed computing; Artificial intelligence; Telecommunications","score_opus":0.03345750505697552,"score_gpt":0.26528527616802156,"score_spread":0.23182777111104602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388505095","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":[0.053746045,0.00033534484,0.94111115,0.001990053,0.0007741464,0.00102736,0.0000020344612,0.00081923214,0.00019465729],"genre_scores_gemma":[0.98739433,0.00044093814,0.010591669,0.00024726085,0.00010665902,0.0008427793,0.00022920418,0.000058371246,0.0000887771],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988621,0.00009911917,0.00039532807,0.00013036226,0.00011539663,0.0003977147],"domain_scores_gemma":[0.99891067,0.0003547716,0.000056167206,0.0005832807,0.00005207813,0.000043014035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040152276,0.00012105305,0.00016437843,0.00009473274,0.00018132852,0.00004090233,0.00032956674,0.00007555232,0.0000033659173],"category_scores_gemma":[0.00012387082,0.00015031928,0.000056385437,0.00049074524,0.000015606507,0.00018335441,0.000059113027,0.00023121308,0.00006009878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063219677,0.000009806808,0.0023355926,0.000025613203,0.000030856576,4.4114304e-7,0.0003990564,0.9915511,0.0020982581,0.000084687985,0.0029399197,0.00051836966],"study_design_scores_gemma":[0.000373243,0.000020359552,0.000602624,0.000060009006,0.0000149697025,4.3954068e-7,0.000038930455,0.98563606,0.00023230584,0.000027959077,0.012834462,0.00015862634],"about_ca_topic_score_codex":0.000013297925,"about_ca_topic_score_gemma":0.0002830059,"teacher_disagreement_score":0.9336483,"about_ca_system_score_codex":0.0005617063,"about_ca_system_score_gemma":0.000011141477,"threshold_uncertainty_score":0.6129842},"labels":[],"label_agreement":null},{"id":"W4389104915","doi":"10.1109/jsac.2023.3334610","title":"Empowering the 6G Cellular Architecture With Open RAN","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Bundesministerium für Bildung und Forschung; National Science Foundation","keywords":"Ran; Computer science; Orchestration; Cellular network; Telecommunications; Modular design; Architecture; Standardization; Pace; Data science; Computer network","score_opus":0.02472272660466027,"score_gpt":0.2930426802013583,"score_spread":0.268319953596698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389104915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31074053,0.0022091044,0.6292602,0.008916364,0.0015160474,0.0036374282,0.000050565097,0.0022676045,0.04140213],"genre_scores_gemma":[0.99351877,0.00055302173,0.0054807276,0.000051936026,0.000071686634,0.000082143575,0.000025035026,0.00006197014,0.00015468165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896723,0.00019889479,0.00031906323,0.00010608898,0.00015429297,0.00025444254],"domain_scores_gemma":[0.9983097,0.00038281517,0.000093140254,0.0010206706,0.00012677211,0.00006692715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694281,0.00015147055,0.00017404227,0.00025306095,0.00039951096,0.00016910023,0.0015919022,0.000058179558,0.000011766618],"category_scores_gemma":[0.00008740476,0.00010899237,0.000028574665,0.0017290718,0.00004881113,0.00019304232,0.00010377979,0.00097464223,0.000032596625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017344282,0.00002456166,0.00019845691,0.000005668058,0.000042865384,0.000009310957,0.0013374109,0.9921264,0.0038345456,0.0001711022,0.00080175983,0.0014305933],"study_design_scores_gemma":[0.006179296,0.00050016335,0.008602078,0.0028666335,0.00013381157,0.0012006281,0.0042826915,0.8711001,0.015021271,0.004469392,0.083620876,0.0020230617],"about_ca_topic_score_codex":0.000011348911,"about_ca_topic_score_gemma":0.00028720312,"teacher_disagreement_score":0.68277824,"about_ca_system_score_codex":0.00015089553,"about_ca_system_score_gemma":0.000057788093,"threshold_uncertainty_score":0.44445798},"labels":[],"label_agreement":null},{"id":"W4389232968","doi":"10.1109/jiot.2023.3335233","title":"Performance Analysis for Downlink Transmission in Multiconnectivity Cellular V2X Networks","year":2023,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; National Natural Science Foundation of China","keywords":"Computer science; Telecommunications link; Computer network; Cellular network; Transmission (telecommunications); Cellular radio; Telecommunications; Base station","score_opus":0.012327386363675653,"score_gpt":0.2321320029691124,"score_spread":0.21980461660543676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389232968","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":[0.40044925,0.00009523379,0.59888625,0.000011039134,0.0003596673,0.000090521025,9.1511714e-7,0.000063636304,0.00004347036],"genre_scores_gemma":[0.9921669,0.00018720464,0.0073816893,0.000006841564,0.00009814337,0.000009892786,0.0000074370414,0.000028820756,0.00011307747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990077,0.000028495055,0.0004776639,0.00012306012,0.00011984488,0.00024325094],"domain_scores_gemma":[0.9995112,0.00011042116,0.00013116436,0.00010825715,0.00007585601,0.00006314762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058580516,0.00013022622,0.00030641275,0.0004926818,0.000031318494,0.000027420041,0.0001834608,0.00010449567,0.000015044406],"category_scores_gemma":[0.000030401548,0.00012452008,0.00017205076,0.00060636486,0.000014576683,0.0004128581,0.000009727486,0.00030115273,0.0000029355458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032013282,0.000011877178,0.0027922152,0.00008155176,0.00014931726,0.000005745034,0.0011384132,0.97948086,0.009551469,0.000001765789,0.00010543083,0.0066493475],"study_design_scores_gemma":[0.00045507518,0.00004074427,0.00063594815,0.00018442767,0.00007139822,0.00000934258,0.00004465548,0.9757672,0.022546865,0.000029421784,0.00009328878,0.00012165814],"about_ca_topic_score_codex":0.000011850767,"about_ca_topic_score_gemma":0.0000061122005,"teacher_disagreement_score":0.59171766,"about_ca_system_score_codex":0.000102205835,"about_ca_system_score_gemma":0.00000771645,"threshold_uncertainty_score":0.50777817},"labels":[],"label_agreement":null},{"id":"W4389377913","doi":"10.23977/acss.2023.071008","title":"Time Delay Analysis of Deterministic Network 5G-A Terminals","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer network","score_opus":0.010092096245169166,"score_gpt":0.24738792177662752,"score_spread":0.23729582553145837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389377913","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":[0.07233375,0.008642275,0.9170152,0.0000036099061,0.00087895937,0.00040226124,0.00003018094,0.0003006172,0.0003931622],"genre_scores_gemma":[0.9967033,0.00067038526,0.002291091,0.000006846321,0.00017652202,0.000044308905,0.000029386614,0.000026487873,0.00005164626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867254,0.000070936396,0.0006200002,0.00023357161,0.00012825688,0.00027470983],"domain_scores_gemma":[0.9992281,0.00033055752,0.00012125792,0.00022164329,0.000044420514,0.00005399575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034170508,0.00017014748,0.0006085754,0.00038844987,0.0000339935,0.00003114035,0.00013029894,0.00006852203,0.000005841344],"category_scores_gemma":[0.000008026648,0.00016589827,0.00006529488,0.0014548242,0.000037616162,0.00023951905,0.000032327298,0.00006263608,0.000013160684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029194387,0.000004557176,0.0011219303,0.00019259728,0.00011487008,0.000021254134,0.00015728181,0.98973006,0.0001719188,0.00006746568,0.00007682003,0.008338339],"study_design_scores_gemma":[0.00010823252,0.00003807239,0.00041209423,0.0002146126,0.00007163688,0.000007896717,0.00002434924,0.99835867,0.000024685753,0.00010671867,0.00046229654,0.0001707485],"about_ca_topic_score_codex":0.0000049509886,"about_ca_topic_score_gemma":0.000010602497,"teacher_disagreement_score":0.9243696,"about_ca_system_score_codex":0.000024206895,"about_ca_system_score_gemma":0.000005226614,"threshold_uncertainty_score":0.6765135},"labels":[],"label_agreement":null},{"id":"W4389814914","doi":"10.1063/5.0178638","title":"Performance investigation of diversity techniques for 5G communication scenario","year":2023,"lang":"en","type":"article","venue":"AIP conference proceedings","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":"Horizon College and Seminary","funders":"","keywords":"Diversity (politics); Computer science; Sociology","score_opus":0.03818561787847342,"score_gpt":0.2434796517081049,"score_spread":0.2052940338296315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389814914","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":[0.8998059,0.000035877776,0.092491336,0.00014928782,0.00008795712,0.0009008803,0.000010125574,0.0015934568,0.0049252044],"genre_scores_gemma":[0.990757,0.00020648493,0.008798419,0.000008411381,0.000015854384,0.000086816515,0.000033091426,0.000015810316,0.00007809815],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995098,0.0000024850688,0.00017499819,0.000102904516,0.000083436404,0.00012639016],"domain_scores_gemma":[0.999412,0.000024499781,0.00010414642,0.00009127112,0.00033893183,0.000029133185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019382407,0.00008624215,0.00011734415,0.00011607659,0.00012316532,0.000017163376,0.00019127564,0.00006954119,0.0000028830525],"category_scores_gemma":[0.000054868535,0.00009738529,0.000019879395,0.0003009459,0.000050878894,0.0004778362,0.000056682435,0.000068177076,0.0000061070796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005499492,0.000021465392,0.6222267,0.0041358117,0.000074577256,1.7445034e-7,0.025574235,0.0075728926,0.3045801,0.008403131,0.0066621425,0.020693762],"study_design_scores_gemma":[0.00022016937,0.00007487819,0.014105298,0.00038051239,0.000017072729,0.0000011612575,0.00056834595,0.8622474,0.119754136,0.0021437888,0.00026275724,0.0002244783],"about_ca_topic_score_codex":0.000012585912,"about_ca_topic_score_gemma":0.0000027858525,"teacher_disagreement_score":0.8546745,"about_ca_system_score_codex":0.00005436997,"about_ca_system_score_gemma":0.000014707284,"threshold_uncertainty_score":0.39712566},"labels":[],"label_agreement":null},{"id":"W4389943505","doi":"10.1109/tvt.2023.3344454","title":"Rate Outage and Meta-Distribution for Uplink Networks in Finite Block-Length Regime","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Telecommunications link; Block (permutation group theory); Computer science; Distribution (mathematics); Electronic engineering; Mathematics; Mathematical optimization; Engineering; Computer network; Combinatorics; Mathematical analysis","score_opus":0.014095479114556808,"score_gpt":0.22913579497469527,"score_spread":0.21504031586013847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389943505","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012826158,0.00027638217,0.9841307,0.00034637918,0.00025959342,0.0006079473,0.000070854694,0.0014717118,0.000010319629],"genre_scores_gemma":[0.99669313,0.00035926388,0.0019495329,0.000016995744,0.000015304393,0.0006871757,0.000049492002,0.00005350178,0.0001756196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990367,0.000023717714,0.0002854123,0.00028392352,0.000045173387,0.00032503795],"domain_scores_gemma":[0.99947155,0.0001252391,0.000039214763,0.0002840003,0.000044514316,0.000035485715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020387732,0.0001994312,0.00032960187,0.0004351836,0.00009492654,0.000014027115,0.0000978095,0.0003939139,0.000004876961],"category_scores_gemma":[0.000018190867,0.00020993098,0.00008578724,0.0009785095,0.00005316965,0.00010276173,0.0000016691297,0.00034056013,0.000015777929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010409907,0.000014018212,0.0000030333067,0.00003440342,0.00016981491,0.000009375139,0.000019877352,0.996082,0.0009712346,0.00016911763,0.000050179955,0.002466516],"study_design_scores_gemma":[0.00058434537,0.00006259889,0.000008314017,0.000016682348,0.00026318734,0.0000113930355,0.00004671169,0.98652375,0.0107745,0.0004963228,0.001003299,0.00020892471],"about_ca_topic_score_codex":0.0000040643286,"about_ca_topic_score_gemma":0.00003433972,"teacher_disagreement_score":0.98386693,"about_ca_system_score_codex":0.00008226376,"about_ca_system_score_gemma":0.0000069636585,"threshold_uncertainty_score":0.8560737},"labels":[],"label_agreement":null},{"id":"W4390204295","doi":"10.1109/tcomm.2023.3346930","title":"Analysis of One-Bit Quantized Linear Precoding Schemes in Multi-Cell Massive MIMO Downlink","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Precoding; Telecommunications link; MIMO; Converters; Zero-forcing precoding; Electronic engineering; Computer science; Quantization (signal processing); Multi-user MIMO; Bit error rate; Algorithm; Mathematics; Channel (broadcasting); Engineering; Decoding methods; Telecommunications; Electrical engineering","score_opus":0.06886396547341693,"score_gpt":0.3110609133776165,"score_spread":0.24219694790419954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390204295","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":[0.012272414,0.00021045962,0.98582953,0.00012499382,0.00013178831,0.00036863735,0.00014276011,0.000475627,0.000443764],"genre_scores_gemma":[0.9387144,0.001681777,0.059042633,0.000005735418,0.000004556487,0.0001812264,0.000093545765,0.000038701462,0.00023743563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885535,0.00009818103,0.00055242283,0.00017669825,0.00011699512,0.0002003407],"domain_scores_gemma":[0.9981052,0.0003980167,0.000097266966,0.0012454905,0.00010374334,0.000050269664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018648793,0.00015474414,0.0003515341,0.0012426946,0.00013766224,0.000013249415,0.00045114322,0.000116917625,0.000037606573],"category_scores_gemma":[0.000015367958,0.00018944778,0.00016994319,0.0033620254,0.00005916839,0.0001871713,0.000005448932,0.0003314991,0.00006397435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006393959,0.00018807757,0.00009449268,0.000042583793,0.00027101795,2.9433798e-7,0.0006275389,0.9870376,0.010615981,0.000031859876,0.000007317399,0.0010768174],"study_design_scores_gemma":[0.0006009169,0.000012752726,0.00021108544,0.000071314316,0.00025379876,1.612856e-7,0.00033901003,0.9810538,0.017141612,0.0000075581515,0.00014251913,0.00016547182],"about_ca_topic_score_codex":0.00007314956,"about_ca_topic_score_gemma":0.0009826246,"teacher_disagreement_score":0.9267869,"about_ca_system_score_codex":0.0001150996,"about_ca_system_score_gemma":0.000023021286,"threshold_uncertainty_score":0.7725456},"labels":[],"label_agreement":null},{"id":"W4390285371","doi":"10.1109/icjece.2023.3328444","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Table (database); Computer science; Database","score_opus":0.006546826755491136,"score_gpt":0.16507190950978218,"score_spread":0.15852508275429103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390285371","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":[0.11635266,0.0016943788,0.88108253,0.000022612907,0.000635926,0.000057986785,0.000003757971,0.000059281905,0.00009083009],"genre_scores_gemma":[0.99730617,0.00004902985,0.0024999434,0.00000576136,0.00010569776,6.0353494e-7,9.275894e-7,0.000013986211,0.000017855873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995428,0.0000032906319,0.00019738292,0.00003825316,0.000044174318,0.00017415373],"domain_scores_gemma":[0.999648,0.000036281224,0.000026828282,0.000038497623,0.00005530088,0.00019513156],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050434526,0.00006253996,0.00014801574,0.0002799668,0.000013726789,0.000012168444,0.00006478699,0.000032036012,0.0000025746726],"category_scores_gemma":[0.000021312862,0.000062438536,0.000023745324,0.000393178,0.000005903617,0.00008199284,0.0000036783772,0.00009656278,0.0000012415417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.044069e-7,9.345158e-7,0.0005989969,0.000034785564,0.000027957969,0.000033105563,0.00005371567,0.99304056,0.0011150651,0.00032027933,0.0009115203,0.0038622555],"study_design_scores_gemma":[0.00017890985,0.00005127706,0.0019314651,0.00006162908,0.0000058755786,0.00007282752,0.0000030312822,0.9944644,0.0008035441,0.00002961192,0.002319197,0.00007826278],"about_ca_topic_score_codex":0.00004368953,"about_ca_topic_score_gemma":0.000028044282,"teacher_disagreement_score":0.88095355,"about_ca_system_score_codex":0.00003161839,"about_ca_system_score_gemma":0.000029462968,"threshold_uncertainty_score":0.25461695},"labels":[],"label_agreement":null},{"id":"W4390690159","doi":"10.48550/arxiv.2401.02701","title":"Joint User Association and Power Control for Cell-Free Massive MIMO","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Nanjing University; Nanjing University of Aeronautics and Astronautics; National Natural Science Foundation of China; Fondation Mathématique Jacques Hadamard; Queen's University Belfast; Queen's University; European Commission; China Scholarship Council; Trường Đại học Bách Khoa Hà Nội; Government of the United Kingdom","keywords":"Telecommunications link; Computer science; Computational complexity theory; Transmitter power output; Power control; User equipment; Heuristic; Mathematical optimization; MIMO; Optimization problem; Quality of service; Convex optimization; Power (physics); Algorithm; Regular polygon; Base station; Mathematics; Computer network","score_opus":0.01896355052859029,"score_gpt":0.15871728807420504,"score_spread":0.13975373754561476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390690159","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":[0.043198735,0.00049912103,0.9486789,0.00008946827,0.0015725894,0.0011717357,0.0003918036,0.00056768284,0.0038299328],"genre_scores_gemma":[0.99380904,0.00014536378,0.0012110312,0.000021104102,0.000101541336,0.0000062102736,0.000039355884,0.00008000578,0.0045863325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892837,0.000034316203,0.00020781995,0.00050933793,0.000049007056,0.00027113265],"domain_scores_gemma":[0.99904704,0.00012002538,0.00015104293,0.00043549316,0.00015650614,0.00008991055],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014963323,0.00028776895,0.00034952193,0.00019404409,0.000055676235,0.00006630415,0.00020182511,0.00041725257,0.000019216499],"category_scores_gemma":[0.00007571037,0.0003557205,0.00014878427,0.00014569216,0.00001930056,0.00012658481,0.0002799736,0.00040035034,0.00003353735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018960482,0.000012871137,0.00028935945,0.0004947813,0.00020406359,0.000024888766,0.00015091915,0.98914015,0.00030316613,0.00513213,0.004211967,0.000016765664],"study_design_scores_gemma":[0.0020076535,0.00004436598,0.00013248782,0.00021855441,0.00041815056,0.0000011087814,0.00021887131,0.9698359,0.00056894746,0.024712952,0.0012070125,0.0006340339],"about_ca_topic_score_codex":0.000014037875,"about_ca_topic_score_gemma":0.000019681194,"teacher_disagreement_score":0.95061034,"about_ca_system_score_codex":0.0007066923,"about_ca_system_score_gemma":0.000038387083,"threshold_uncertainty_score":0.9998895},"labels":[],"label_agreement":null},{"id":"W4390829580","doi":"10.1109/tsp.2024.3351478","title":"Low-Complexity Joint Antenna Selection and Robust Multi-Group Multicast Beamforming for Massive MIMO","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Multicast; Computer science; MIMO; Mathematical optimization; Computational complexity theory; Optimization problem; Antenna array; Antenna (radio); Algorithm; Mathematics; Telecommunications; Computer network","score_opus":0.039838167525921855,"score_gpt":0.2601111596410754,"score_spread":0.22027299211515355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390829580","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":[0.002893767,0.0003609618,0.9948953,0.000027828119,0.00037030797,0.00055014226,0.000040431692,0.00083177665,0.000029500312],"genre_scores_gemma":[0.8496551,0.000024401526,0.14991197,0.000011847964,0.00009349895,0.00014461752,0.000007367987,0.000086351545,0.00006483693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883485,0.000016779417,0.0003481395,0.00036396913,0.000119714794,0.00031656312],"domain_scores_gemma":[0.99962014,0.000070693364,0.00004183025,0.00007586766,0.00009967106,0.0000918241],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013344876,0.00025755982,0.00022409316,0.0002689442,0.0003563869,0.00018758267,0.000052497086,0.00012251582,0.000015756956],"category_scores_gemma":[0.0000042196443,0.00026510662,0.00008189851,0.0003530614,0.000053848606,0.00076100795,9.0114736e-7,0.00029808874,0.0000070001242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023461238,0.000043575234,6.988841e-7,0.0011678506,0.000032051932,0.0000024921353,0.00045090617,0.8365147,0.10061633,0.00001257757,0.000004676087,0.0611307],"study_design_scores_gemma":[0.000437984,0.00006442881,0.0000039657057,0.00073223584,0.000056734585,0.000034307697,0.00026505435,0.94993544,0.0481038,0.000053618158,0.000038196707,0.00027425704],"about_ca_topic_score_codex":0.0000074924933,"about_ca_topic_score_gemma":0.00005049305,"teacher_disagreement_score":0.84676135,"about_ca_system_score_codex":0.00020613376,"about_ca_system_score_gemma":0.000028561088,"threshold_uncertainty_score":0.9999801},"labels":[],"label_agreement":null},{"id":"W4390905677","doi":"10.1109/jsac.2023.3334605","title":"Guest Editorial Open RAN: A New Paradigm for Open, Virtualized, Programmable, and Intelligent Cellular Networks","year":2024,"lang":"en","type":"editorial","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Ran; Computer science; C-RAN; Automation; Intelligent Network; Open architecture; Architecture; Computer network; Radio access network; Operating system; Base station; Engineering","score_opus":0.027928187274314037,"score_gpt":0.320020775224064,"score_spread":0.29209258794975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390905677","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000019218423,0.007953326,0.14280355,0.00018639014,0.84528196,0.0030327104,0.00013025837,0.00019307963,0.00041683],"genre_scores_gemma":[0.00036796828,0.016359314,0.014057061,0.000015556125,0.9658203,0.0009736897,0.0012833428,0.00032455934,0.00079821044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9968217,0.00035188693,0.0013586095,0.00048223254,0.00042255395,0.00056304457],"domain_scores_gemma":[0.99495006,0.0021703653,0.00044225177,0.001501167,0.00060369476,0.00033247846],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0011787474,0.00059362565,0.00095599954,0.00043222177,0.00041209662,0.0022015458,0.004125059,0.0010492217,0.000007747606],"category_scores_gemma":[0.0009269378,0.0006085423,0.00012070073,0.0010458357,0.00007554025,0.00063480914,0.0006231876,0.003612315,0.000013884373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001988463,0.000101228354,0.0000011553908,0.000079942656,0.00023618476,0.0000055211726,0.00026174248,0.10032024,0.000016690847,0.00024140051,0.8970547,0.0014823762],"study_design_scores_gemma":[0.0019479698,0.00022621272,1.8037777e-7,0.0017642486,0.00015984422,0.000018566954,0.000040558025,0.052263916,0.000037937298,0.0013166287,0.9416515,0.00057242246],"about_ca_topic_score_codex":0.0001535767,"about_ca_topic_score_gemma":0.00082552613,"teacher_disagreement_score":0.12874648,"about_ca_system_score_codex":0.00086646463,"about_ca_system_score_gemma":0.0008315074,"threshold_uncertainty_score":0.9996366},"labels":[],"label_agreement":null},{"id":"W4391014820","doi":"10.1002/9781394180523.ch1","title":"Next Generation Multiple Access Toward 6G","year":2024,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science","score_opus":0.05510328485448514,"score_gpt":0.27700801110604245,"score_spread":0.22190472625155733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391014820","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[5.6895084e-7,0.0021095108,0.45897624,0.000009073277,0.0016290371,0.00021095232,0.0000123758555,0.0016544812,0.53539777],"genre_scores_gemma":[0.003665304,0.00041348726,0.014997606,0.000023561275,0.0015386123,0.000078208315,0.00017802394,0.001176801,0.9779284],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994422,0.0000061729193,0.00015061916,0.0002012401,0.00007397654,0.00012577936],"domain_scores_gemma":[0.9997184,0.0000051345055,0.000024825082,0.00020560023,0.00001188843,0.00003412523],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000021428183,0.00019537298,0.00016632862,0.00017708502,0.0000066519106,0.0001243603,0.00012246908,0.00021927418,0.0020450405],"category_scores_gemma":[0.000008910049,0.00018705777,0.0000378732,0.00012183393,0.000005806621,0.00014629598,0.000031708227,0.00010513271,0.0017460941],"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":[1.9063185e-7,0.0000018906092,0.0000024841281,0.000323165,0.000038277147,0.0000026045611,0.000028980536,0.08209813,0.000542159,0.00011296632,0.91562366,0.0012255105],"study_design_scores_gemma":[0.00007685101,0.000002639311,2.2435728e-7,0.00011582943,0.0000159252,0.0000016141262,0.000009796865,0.37741902,0.0005845212,0.000018999226,0.6215068,0.00024778512],"about_ca_topic_score_codex":0.00007114954,"about_ca_topic_score_gemma":0.00024359884,"teacher_disagreement_score":0.44397864,"about_ca_system_score_codex":0.000066169865,"about_ca_system_score_gemma":0.0000068682048,"threshold_uncertainty_score":0.9990312},"labels":[],"label_agreement":null},{"id":"W4391092817","doi":"10.1109/tcomm.2024.3356792","title":"Joint Port Selection Based Channel Acquisition for FDD Cell-Free Massive MIMO","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"MIMO; Joint (building); Selection (genetic algorithm); Computer science; Channel (broadcasting); Electronic engineering; Port (circuit theory); Telecommunications; Engineering","score_opus":0.023577014986526444,"score_gpt":0.2511629988034114,"score_spread":0.22758598381688497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391092817","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":[0.000085213025,0.0005065643,0.99285847,0.001100764,0.000906776,0.0008547952,0.0002968257,0.001384339,0.0020062332],"genre_scores_gemma":[0.9531649,0.00029749313,0.04419015,0.000071143026,0.000070603586,0.0013671383,0.00014181867,0.00010878716,0.0005880209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989594,0.000054519533,0.0003802206,0.00024355802,0.00012484286,0.00023742826],"domain_scores_gemma":[0.9983427,0.00022880804,0.000045261735,0.001151893,0.00015351546,0.00007785496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015600385,0.00021780822,0.00018389712,0.00038851204,0.0003998124,0.00008216339,0.0003683417,0.00014766825,0.000058752776],"category_scores_gemma":[0.00000615019,0.00025404786,0.00017149797,0.00057044055,0.000046566678,0.00034934343,0.000002764795,0.00032901776,0.00006815583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010007247,0.00010364858,2.1067869e-7,0.00017811214,0.00005358028,4.6184005e-7,0.00017734081,0.9840705,0.0105082365,0.00029173892,0.0027855015,0.0018206679],"study_design_scores_gemma":[0.00042235592,0.00007403908,0.0000044157937,0.00015443085,0.00009159508,0.000006029114,0.0001002501,0.94161654,0.052966613,0.00059401453,0.003717419,0.00025228676],"about_ca_topic_score_codex":0.000014032588,"about_ca_topic_score_gemma":0.00007532157,"teacher_disagreement_score":0.95307964,"about_ca_system_score_codex":0.00035208606,"about_ca_system_score_gemma":0.00006505052,"threshold_uncertainty_score":0.9999912},"labels":[],"label_agreement":null},{"id":"W4391096978","doi":"10.1109/tnsm.2024.3356973","title":"Operating Multi-User Massive MIMO Networks: Trade-Off Between Performance and Runtime","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Cisco Systems","keywords":"Computer science; MIMO; Precoding; Leverage (statistics); Transmitter power output; Online algorithm; Multi-user; Algorithm; Multi-user MIMO; Dirty paper coding; Channel (broadcasting); Computer network; Machine learning","score_opus":0.009023270818513377,"score_gpt":0.21070635357242487,"score_spread":0.2016830827539115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391096978","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":[0.008479566,0.0014144684,0.98723316,0.0002021008,0.00076304853,0.000530545,0.000008690979,0.0005103862,0.0008580599],"genre_scores_gemma":[0.9831483,0.0053549777,0.010288407,0.00018146269,0.0002539145,0.00011977797,0.000012171154,0.00007880146,0.0005621953],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989513,0.000026516587,0.00027657818,0.00032271116,0.000099921075,0.00032297187],"domain_scores_gemma":[0.9996453,0.000053965738,0.000019561528,0.0001795318,0.000013953466,0.00008768012],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012783309,0.00025394475,0.00020765667,0.00010470517,0.00025237445,0.00015002595,0.00008494408,0.00009042025,0.000016051008],"category_scores_gemma":[1.5224008e-7,0.00025611196,0.000033897828,0.00043083658,0.000017284003,0.00030852595,0.0000043816917,0.00024728107,0.000014889863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003010354,0.000008552757,0.000045451685,0.00046869073,0.00017057847,0.0000066738335,0.0002614609,0.9204334,0.00000685308,0.000038731607,0.00020028066,0.07835632],"study_design_scores_gemma":[0.0003445715,0.000033746088,0.0005532164,0.00044553092,0.00013897213,0.0000039358465,0.00017743578,0.99061817,0.00003771547,0.0000042488055,0.0073677516,0.00027473448],"about_ca_topic_score_codex":0.00000575749,"about_ca_topic_score_gemma":0.000031462823,"teacher_disagreement_score":0.97694474,"about_ca_system_score_codex":0.00005390731,"about_ca_system_score_gemma":0.0000035883336,"threshold_uncertainty_score":0.9999891},"labels":[],"label_agreement":null},{"id":"W4391158878","doi":"10.48550/arxiv.2401.12025","title":"A Survey of Recent Advances in Optimization Methods for Wireless Communications","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Canada Research Chairs; National Science Foundation","keywords":"Computer science; Optimization problem; Engineering optimization; Exploit; Wireless; Mathematical optimization; Wireless network; Mathematical model; Perspective (graphical); Management science; Distributed computing; Artificial intelligence; Engineering; Telecommunications; Mathematics; Algorithm","score_opus":0.11323601392387662,"score_gpt":0.2828748804094812,"score_spread":0.1696388664856046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391158878","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":[0.0008804784,0.0055045285,0.9908863,0.000009987871,0.0005042903,0.0007167157,0.00014580548,0.00018953993,0.001162383],"genre_scores_gemma":[0.81227726,0.036011502,0.15100232,0.000003053444,0.000016469223,0.0000190664,0.00049574935,0.000078596335,0.00009597563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884367,0.00024295377,0.00035116234,0.00036868275,0.000024388914,0.0001691134],"domain_scores_gemma":[0.9983048,0.00038909254,0.00015322099,0.00082921784,0.00028031753,0.000043371398],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005431677,0.00021145648,0.00038456352,0.00033753726,0.000031258245,0.000015584024,0.0005281425,0.00023340035,0.000010058988],"category_scores_gemma":[0.000111998655,0.00027466545,0.000074242584,0.0008192626,0.00006296695,0.00015895341,0.00043651834,0.00033801998,0.0000021278436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018211573,0.00002460497,0.00025413287,0.0006000937,0.000042278876,0.0000010008615,0.00010062551,0.98927706,0.000022334314,0.003352146,0.000011964256,0.0062955716],"study_design_scores_gemma":[0.00023846884,0.000011301493,0.000051328752,0.00025226004,0.00004786889,2.663483e-7,0.000062552666,0.9948146,0.00012611679,0.0038090544,0.00035467808,0.00023150361],"about_ca_topic_score_codex":0.000075150114,"about_ca_topic_score_gemma":0.00063501124,"teacher_disagreement_score":0.8398839,"about_ca_system_score_codex":0.00032159514,"about_ca_system_score_gemma":0.000073591305,"threshold_uncertainty_score":0.99997056},"labels":[],"label_agreement":null},{"id":"W4391349888","doi":"10.18280/mmep.110115","title":"Enhancement of BER of LTE System by Using DCT-Neural Network in Different Channel Models","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Channel (broadcasting); Artificial neural network; Computer science; Discrete cosine transform; Electronic engineering; Computer network; Artificial intelligence; Engineering; Image (mathematics)","score_opus":0.022158548968523376,"score_gpt":0.20519780472225124,"score_spread":0.18303925575372787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391349888","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":[0.09301776,0.0033206996,0.90303457,0.0000028742063,0.00013083077,0.0002406522,0.000005681261,0.00016424322,0.000082674414],"genre_scores_gemma":[0.9785102,0.000090672635,0.021251822,3.644204e-7,0.000034141252,0.000036856927,0.0000039902015,0.00005734313,0.000014628276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887025,0.000008659407,0.0005678344,0.00016891774,0.00012542385,0.00025891946],"domain_scores_gemma":[0.999696,0.00006986258,0.000033915443,0.00012918696,0.000019322588,0.000051712268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016522707,0.00020342502,0.00041025574,0.00010235989,0.000012372786,0.000018612098,0.00006173282,0.00008315717,0.0000014507309],"category_scores_gemma":[0.0000028598436,0.0001803014,0.000044835007,0.00017053267,0.0000147107585,0.00012068786,0.000024267447,0.00013136589,5.388714e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016023243,0.000014673705,7.4533216e-7,0.008040148,0.000032331867,8.3673973e-7,0.0005733844,0.9830749,0.004857493,0.0033390685,0.0000042990305,0.00006053327],"study_design_scores_gemma":[0.00010285035,0.00001647559,5.6378283e-8,0.0037014817,0.00002188208,0.0000055897845,0.000025195372,0.9916969,0.0023587176,0.0019140264,0.0000021900096,0.00015463324],"about_ca_topic_score_codex":0.000006784882,"about_ca_topic_score_gemma":1.8644268e-7,"teacher_disagreement_score":0.88549244,"about_ca_system_score_codex":0.000071601426,"about_ca_system_score_gemma":0.0000031735115,"threshold_uncertainty_score":0.7352478},"labels":[],"label_agreement":null},{"id":"W4391496462","doi":"10.1109/wcsp58612.2023.10404814","title":"System-level Security Solution for Heterogeneous D2D-underlaid Cellular Network","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada)","funders":"National Science Foundation","keywords":"Computer science; Computer network; Cellular network; Network security; Computer security","score_opus":0.022331661193996388,"score_gpt":0.22333686261115923,"score_spread":0.20100520141716285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391496462","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":[0.0024603677,0.00024555554,0.9910603,0.000016471737,0.0012468809,0.0006302976,0.000029301771,0.0026590356,0.001651785],"genre_scores_gemma":[0.9844169,0.00001857474,0.014084544,0.0000105471045,0.00042787567,0.00017275718,0.00013917901,0.00008110238,0.00064854755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989848,0.00002045099,0.0002797052,0.00020278076,0.0000975844,0.00041468916],"domain_scores_gemma":[0.99954456,0.00005770546,0.000036344034,0.000238128,0.000055481858,0.00006775505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019732492,0.00016090303,0.00019132344,0.00006713689,0.00012209619,0.000027393544,0.00009869053,0.00012034083,0.000010175402],"category_scores_gemma":[0.0000104895225,0.00017284576,0.00007724041,0.00030468748,0.000009939366,0.00011956183,0.000027309057,0.00006008585,0.00015256695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004131641,0.0000031292373,0.000018625646,0.0003506311,0.000028424118,0.0000041945173,0.00006239396,0.99040216,0.0016141676,0.0012707056,0.005821302,0.00042012628],"study_design_scores_gemma":[0.00025171533,0.00001925193,0.0000048195348,0.000050320672,0.000013348696,0.000009341524,0.000058847705,0.99444795,0.0026869639,0.000423113,0.0018358845,0.00019842939],"about_ca_topic_score_codex":0.000010378297,"about_ca_topic_score_gemma":0.000038533002,"teacher_disagreement_score":0.9819565,"about_ca_system_score_codex":0.00017823343,"about_ca_system_score_gemma":0.000008350509,"threshold_uncertainty_score":0.70484453},"labels":[],"label_agreement":null},{"id":"W4391559555","doi":"10.1109/tvt.2024.3363124","title":"Power Allocation and Beamforming Design for Uplink Rate-Splitting Multiple Access With User Cooperation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Telecommunications link; Beamforming; Computer science; Power (physics); Computer network; Telecommunications; Electronic engineering; Engineering; Physics","score_opus":0.012302716791102102,"score_gpt":0.2397134466277791,"score_spread":0.227410729836677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391559555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03355545,0.00022218146,0.96354645,0.000172085,0.00027662047,0.0009022511,0.000007446352,0.0013076656,0.000009870349],"genre_scores_gemma":[0.9309453,0.00006327552,0.06824755,0.000015808666,0.000015771631,0.0005743814,0.000009140661,0.00007192244,0.00005685335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921614,0.000014876878,0.00022469788,0.00028817964,0.0000523359,0.000203797],"domain_scores_gemma":[0.9995403,0.00012448359,0.000024130239,0.00019234949,0.00009317492,0.000025532612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015793902,0.00017927225,0.00015451745,0.0003766665,0.00016315571,0.00009215013,0.000089945795,0.00023156899,0.0000053534022],"category_scores_gemma":[0.000012647715,0.00016913863,0.000028200522,0.00048255234,0.000043365108,0.0004921115,0.000001165071,0.00021949927,0.0000060749585],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021065793,0.0000124268145,0.00000556189,0.00009973873,0.000061254985,0.0000028126397,0.00007207187,0.94996905,0.041538008,0.00036584804,0.000012466071,0.007839665],"study_design_scores_gemma":[0.0003360443,0.000100170255,0.0000015738726,0.00012669465,0.00003468379,0.000026088643,0.000050150677,0.7714886,0.22692668,0.000078586585,0.0006556639,0.00017503578],"about_ca_topic_score_codex":0.0000026184912,"about_ca_topic_score_gemma":0.000013168737,"teacher_disagreement_score":0.8973898,"about_ca_system_score_codex":0.00010042736,"about_ca_system_score_gemma":0.000023056837,"threshold_uncertainty_score":0.6897273},"labels":[],"label_agreement":null},{"id":"W4391559615","doi":"10.1109/lcomm.2024.3363234","title":"Massive MIMO Detection Method Based on Quasi-Newton Methods and Deep Learning","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; MIMO; Deep learning; Artificial intelligence; Algorithm; Telecommunications; Channel (broadcasting)","score_opus":0.019435852250607507,"score_gpt":0.32537117254908504,"score_spread":0.30593532029847753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391559615","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":[0.0006987726,0.0012876767,0.9942034,0.001731553,0.00040756952,0.00021960554,0.000002454161,0.0007799559,0.0006690348],"genre_scores_gemma":[0.46043652,0.00022393404,0.5388253,0.00020839483,0.0000490437,0.00013109104,0.000018336505,0.000066108856,0.000041292304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988011,0.0005140275,0.00023539645,0.00020526591,0.000079595105,0.00016458891],"domain_scores_gemma":[0.9981233,0.0009954533,0.000038928232,0.0007631812,0.000028545197,0.000050591872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004698694,0.00016420078,0.00015374654,0.00028481684,0.00019377364,0.00009065515,0.00023993182,0.000081666054,0.0000068658583],"category_scores_gemma":[0.000084433625,0.00018076031,0.00005234281,0.0003935135,0.000050807597,0.0002008157,0.000032495627,0.00047467448,0.00002299081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002669259,0.000007437098,0.0000071869513,0.0000625137,0.000028021512,0.0000011878868,0.000376501,0.78414,0.11013685,0.00012128082,0.00007808074,0.10503829],"study_design_scores_gemma":[0.00011430899,0.000025506453,0.000020132124,0.000100056175,0.00003165121,0.0000059329263,0.0001030345,0.9732557,0.013655473,0.000045541856,0.012467756,0.00017493236],"about_ca_topic_score_codex":0.000017429582,"about_ca_topic_score_gemma":0.000021845346,"teacher_disagreement_score":0.45973775,"about_ca_system_score_codex":0.00018213053,"about_ca_system_score_gemma":0.00000692676,"threshold_uncertainty_score":0.7371192},"labels":[],"label_agreement":null},{"id":"W4391640534","doi":"10.1109/twc.2024.3361174","title":"GNN-Based Beamforming for Sum-Rate Maximization in MU-MISO Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Beijing Nova Program; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Beamforming; Maximization; Computer science; Mathematical optimization; Mathematics; Telecommunications","score_opus":0.019823283860007864,"score_gpt":0.25776918322029047,"score_spread":0.2379458993602826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391640534","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":[0.0007173552,0.00056373497,0.99568385,0.00025773977,0.00065286737,0.0007780417,0.000075949596,0.00090476504,0.0003657088],"genre_scores_gemma":[0.9686488,0.000568933,0.029231135,0.00003986076,0.00003208026,0.0010198494,0.0001634914,0.000110957975,0.00018490863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998875,0.000073755255,0.00046159775,0.00022855375,0.000080591046,0.00028048118],"domain_scores_gemma":[0.9983298,0.00057006197,0.000038293816,0.00092358806,0.000076102784,0.00006210948],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000230964,0.00021693722,0.00020803013,0.00041672916,0.00025900654,0.00009053963,0.00038434874,0.00016074709,0.000018516686],"category_scores_gemma":[0.00000611415,0.00025610533,0.000108162276,0.0008396049,0.000057756668,0.0003670961,0.0000021384208,0.0004012945,0.00001899919],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010278794,0.000059482827,0.000004039278,0.0001098262,0.000028509581,5.312602e-7,0.00016302767,0.97814053,0.000834876,0.00052767445,0.00006179642,0.02005944],"study_design_scores_gemma":[0.00037158307,0.000023268987,0.0000067138753,0.000331093,0.000033168708,0.0000019384017,0.00006818144,0.99387354,0.0035665748,0.000086063046,0.0013937394,0.00024411024],"about_ca_topic_score_codex":0.000026592914,"about_ca_topic_score_gemma":0.00057095615,"teacher_disagreement_score":0.96793145,"about_ca_system_score_codex":0.00030889848,"about_ca_system_score_gemma":0.00005059963,"threshold_uncertainty_score":0.9999891},"labels":[],"label_agreement":null},{"id":"W4391918791","doi":"10.1049/tje2.12358","title":"Smart performance optimization of energy‐aware scheduling model for resource sharing in 5G green communication systems","year":2024,"lang":"en","type":"article","venue":"The Journal of Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Energy consumption; Scheduling (production processes); Shared resource; Distributed computing; Operations research; Mathematical optimization; Computer network; Engineering","score_opus":0.014655630635486739,"score_gpt":0.21654101623105562,"score_spread":0.20188538559556887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391918791","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":[0.022827094,0.004996903,0.97169137,0.000017094457,0.00018673956,0.00012489036,0.0000031392258,0.00007274314,0.00008001931],"genre_scores_gemma":[0.97722334,0.00054728327,0.022038477,0.0000016662705,0.00007739999,0.0000116007695,0.000005659864,0.000057361078,0.000037194815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909234,0.000015243379,0.0005694138,0.00006181746,0.000117324045,0.00014385869],"domain_scores_gemma":[0.9994292,0.0001366243,0.00010862265,0.00020612421,0.00009061375,0.00002878083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006753235,0.000119046,0.00020668044,0.00027863224,0.00003056588,0.000027726852,0.00026836593,0.00006134763,6.375656e-7],"category_scores_gemma":[0.000025896625,0.000103534665,0.000047917994,0.00026781065,0.000008593325,0.0004166737,0.000024188934,0.00019709494,1.6305884e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011240719,0.0000030451777,0.00002588697,0.0005222389,0.000031021536,3.9840378e-7,0.00052685913,0.9972257,0.0010768804,0.0002798011,0.000008570509,0.00028837388],"study_design_scores_gemma":[0.00017079282,0.000017126322,0.000007739821,0.0016006834,0.000026663683,0.000026106805,0.000111277346,0.99728096,0.0005866523,0.000012517031,0.000064313565,0.000095189076],"about_ca_topic_score_codex":0.000011951658,"about_ca_topic_score_gemma":0.0000031954992,"teacher_disagreement_score":0.95439625,"about_ca_system_score_codex":0.00015281556,"about_ca_system_score_gemma":0.000016672675,"threshold_uncertainty_score":0.4222021},"labels":[],"label_agreement":null},{"id":"W4391952742","doi":"10.1109/tcomm.2024.3367784","title":"Performance Analysis of User-Centric Clustering and Limited Cooperation in Cell Free Architecture","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Inner Mongolia; National Natural Science Foundation of China","keywords":"Cluster analysis; Computer science; Computer architecture; User-centered design; Architecture; Computer network; Human–computer interaction; Artificial intelligence","score_opus":0.012390946427618512,"score_gpt":0.22926695424423663,"score_spread":0.21687600781661812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391952742","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":[0.051209968,0.000764343,0.94664526,0.00008991066,0.00011288354,0.00020737654,0.00005897528,0.00019244982,0.00071883237],"genre_scores_gemma":[0.9881468,0.0025402745,0.0091077015,0.00000684854,0.0000045866655,0.00006107151,0.000026605314,0.000023363113,0.00008277116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993749,0.000045628178,0.00028828677,0.00012299154,0.00006414156,0.00010405542],"domain_scores_gemma":[0.998979,0.00016734921,0.00002206757,0.0007652267,0.000036514848,0.000029839837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008379009,0.00010730818,0.00016279923,0.0008857423,0.00008338116,0.00002909629,0.00022793896,0.00006475628,0.000012969592],"category_scores_gemma":[0.000003257634,0.000117506694,0.00004843372,0.0019166477,0.00003695184,0.00018757391,0.000004260942,0.00025673248,0.000003232444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036010024,0.000035518577,0.000045061937,0.000097906144,0.000090147645,2.1440681e-7,0.0006744076,0.99012,0.0027374197,0.000021670714,0.000007837959,0.0061662397],"study_design_scores_gemma":[0.00016250041,0.000018084507,0.00034619612,0.00009058178,0.0001739673,0.0000016813741,0.000054971948,0.9964376,0.0023645714,0.0000045007587,0.00024400838,0.000101327365],"about_ca_topic_score_codex":0.000031567124,"about_ca_topic_score_gemma":0.0008467968,"teacher_disagreement_score":0.93753755,"about_ca_system_score_codex":0.00008086219,"about_ca_system_score_gemma":0.000013340204,"threshold_uncertainty_score":0.4791784},"labels":[],"label_agreement":null},{"id":"W4391992556","doi":"10.1109/lwc.2024.3368272","title":"Sum Rate Maximization for RSMA-Assisted CF mMIMO Networks With SWIPT Users","year":2024,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Maximization; Mathematical optimization; Mathematics","score_opus":0.018620906360397645,"score_gpt":0.24038667618888848,"score_spread":0.22176576982849083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391992556","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":[0.00855848,0.00074385625,0.98563224,0.0019703584,0.0006820131,0.00079530687,0.000033850283,0.0012414054,0.0003424829],"genre_scores_gemma":[0.94961363,0.00035741026,0.048106413,0.0003049577,0.00012855195,0.0006843436,0.00043548417,0.00018072869,0.0001884835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998822,0.000093957715,0.00038966376,0.00026632805,0.00009890686,0.00032918432],"domain_scores_gemma":[0.99812317,0.00033652975,0.000071320974,0.0012950207,0.000101516925,0.000072423565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020420014,0.00025993655,0.00023912585,0.00020744946,0.00024392713,0.00018328356,0.0005813551,0.00011196157,0.000006382373],"category_scores_gemma":[0.00001116403,0.00026450146,0.00007879538,0.00066983054,0.0001113113,0.0004678031,0.000037718135,0.00028042588,0.000022556787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013398597,0.000016165537,0.000070014845,0.00013509857,0.00012306623,0.0000021262165,0.00020941987,0.9780244,0.01016799,0.0005245545,0.0073216786,0.0033920817],"study_design_scores_gemma":[0.00038219462,0.000017510503,0.00010524545,0.0002741795,0.0000715021,0.000011293323,0.00007488959,0.98914415,0.000850292,0.000010984198,0.0087166075,0.00034114477],"about_ca_topic_score_codex":0.000021172014,"about_ca_topic_score_gemma":0.0001602843,"teacher_disagreement_score":0.9410551,"about_ca_system_score_codex":0.00023571747,"about_ca_system_score_gemma":0.000026805092,"threshold_uncertainty_score":0.99998075},"labels":[],"label_agreement":null},{"id":"W4392131565","doi":"10.1007/978-981-99-8771-9_5","title":"Smart Energy-Saving Solutions Based on Artificial Intelligence and Other Emerging Technologies for 5G Wireless and Beyond Networks Communications","year":2024,"lang":"en","type":"book-chapter","venue":"Engergy systems in electrical engineering","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":"Concordia University","funders":"","keywords":"Wireless; Computer science; Telecommunications; Computer network","score_opus":0.018516792495543773,"score_gpt":0.2242300758627114,"score_spread":0.20571328336716763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392131565","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":[0.00000479002,0.03593773,0.95381665,0.000059138787,0.0007123774,0.0005458499,0.000028038135,0.0012480065,0.0076474184],"genre_scores_gemma":[0.98905766,0.0027780174,0.0044436236,0.000018120012,0.00033412443,0.0008475145,0.000061966646,0.00048003945,0.0019789357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982079,0.000014586935,0.0006923641,0.0004538844,0.0001400667,0.00049118645],"domain_scores_gemma":[0.9986155,0.0006466192,0.00008607273,0.00053753145,0.000046383913,0.00006787552],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027002284,0.00048775322,0.00055572204,0.00084152236,0.00011876272,0.000099425444,0.00026515848,0.0005996243,0.0000012337474],"category_scores_gemma":[0.0000714665,0.0005549274,0.00007481792,0.00028021683,0.00006431567,0.00008731436,0.00006486656,0.0007846896,0.00000160355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003195094,0.0000049967125,6.331608e-7,0.00021283858,0.000040482668,0.0000027129313,0.00002980038,0.6740218,0.00007896463,0.3127826,0.000018635486,0.012803372],"study_design_scores_gemma":[0.000058298545,0.00004468051,2.470708e-7,0.0011168502,0.000033820295,0.0000112504185,0.000032348526,0.98291105,0.000059339764,0.0018466887,0.013388212,0.00049721106],"about_ca_topic_score_codex":0.000023843282,"about_ca_topic_score_gemma":0.000057683807,"teacher_disagreement_score":0.9890529,"about_ca_system_score_codex":0.00036701257,"about_ca_system_score_gemma":0.000019390847,"threshold_uncertainty_score":0.99969023},"labels":[],"label_agreement":null},{"id":"W4392175506","doi":"10.1109/globecom54140.2023.10437637","title":"Hierarchical Sparse Estimation of Non-Stationary Channel for Uplink Massive MIMO Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; MIMO; Computer science; Channel (broadcasting); Computer network","score_opus":0.017145129033995586,"score_gpt":0.25679580141289915,"score_spread":0.23965067237890356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392175506","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":[0.003206915,0.00003798006,0.9941758,0.000057869012,0.0005242721,0.0007338687,0.000041123913,0.00042861895,0.00079356175],"genre_scores_gemma":[0.9472534,0.000020558371,0.05122697,0.0000051006123,0.0000939794,0.00033072726,0.00036134545,0.000050627004,0.0006573064],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992696,0.000009085342,0.00032707685,0.0001305115,0.00009432681,0.00016938327],"domain_scores_gemma":[0.9995113,0.00015922666,0.00005569638,0.00013967909,0.00008983887,0.00004425311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011705641,0.00010661433,0.00017501788,0.00017815805,0.00003594328,0.000010799969,0.000067426234,0.00007755291,0.000005696897],"category_scores_gemma":[0.000055099576,0.000108361324,0.00004009488,0.00029826842,0.000015740505,0.00016462573,0.000013663534,0.00004965284,0.00004460298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006960525,0.000005952976,0.0000046386117,0.0003852666,0.000019423416,9.80342e-7,0.00018214584,0.9925457,0.0013334425,0.0028529644,0.001566896,0.0010955784],"study_design_scores_gemma":[0.00024715107,0.00002870362,0.000069023845,0.00006953912,0.00000822432,0.0000016859609,0.00019477772,0.99671,0.0015951353,0.0009167817,0.000049054383,0.00010990227],"about_ca_topic_score_codex":0.000006244483,"about_ca_topic_score_gemma":0.0000011357702,"teacher_disagreement_score":0.9440465,"about_ca_system_score_codex":0.000046566787,"about_ca_system_score_gemma":0.000014264613,"threshold_uncertainty_score":0.44188467},"labels":[],"label_agreement":null},{"id":"W4392175747","doi":"10.1109/upcon59197.2023.10434345","title":"Applications of IoT for Improved Security Chaos in 5G Wireless Communication Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; CHAOS (operating system); Wireless; Internet of Things; Computer network; Computer security; Telecommunications","score_opus":0.008991816875765717,"score_gpt":0.24463897845165217,"score_spread":0.23564716157588644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392175747","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":[0.0098174885,0.00021161948,0.98478746,0.00004594743,0.00009634255,0.0027849642,0.000051370516,0.00058286294,0.0016219409],"genre_scores_gemma":[0.99506813,0.000078925834,0.0026666413,0.0000023295347,0.00002098917,0.0018939648,0.00010885044,0.00002729221,0.00013289714],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994372,0.000015440797,0.00030154068,0.00008993398,0.000037214984,0.00011865387],"domain_scores_gemma":[0.99941754,0.00009629231,0.000051294097,0.00034479852,0.00006964466,0.00002045443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019009245,0.00007068202,0.00014889744,0.00013133537,0.00002542432,0.000007883699,0.00013136797,0.00006513162,0.0000017959383],"category_scores_gemma":[0.000012543736,0.000077576566,0.000022374308,0.00046696505,0.000012395032,0.00006239304,0.000015997279,0.000051335886,0.000007353058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008064428,0.000035355923,0.0001123704,0.001027366,0.000024875528,5.963263e-8,0.00082565524,0.93281317,0.024296118,0.034592573,0.00039800108,0.005866411],"study_design_scores_gemma":[0.00022201393,0.0000065589834,0.000034744513,0.000043501033,0.0000030749352,3.4426284e-7,0.0004617384,0.9948797,0.0028259929,0.00064001366,0.0008005601,0.000081716134],"about_ca_topic_score_codex":0.00009891451,"about_ca_topic_score_gemma":0.00015417102,"teacher_disagreement_score":0.9852506,"about_ca_system_score_codex":0.000059418548,"about_ca_system_score_gemma":0.0000076237575,"threshold_uncertainty_score":0.31634805},"labels":[],"label_agreement":null},{"id":"W4392306238","doi":"10.23977/jeis.2024.090106","title":"Research on interference coordination techniques in heterogeneous cellular networks","year":2024,"lang":"en","type":"article","venue":"Journal of Electronics and Information Science","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Nanchang Institute of Technology","keywords":"Interference (communication); Computer science; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.014022069982653422,"score_gpt":0.29539407281839536,"score_spread":0.28137200283574193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392306238","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":[0.08553335,0.0023833523,0.90880275,0.00009893123,0.0003089483,0.00014541659,5.328291e-7,0.0000496904,0.0026770243],"genre_scores_gemma":[0.9981883,0.0012285641,0.0005301161,0.00001243632,0.000028929464,0.0000027025958,5.823077e-7,0.0000034766376,0.00000485979],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992325,0.000014432261,0.00030488338,0.000045625082,0.00022993101,0.00017267239],"domain_scores_gemma":[0.9995809,0.000044453594,0.00004529696,0.000054950637,0.00023922218,0.00003516385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001592889,0.000048287027,0.00006763127,0.0008478089,0.000049543276,0.00020112349,0.00012561571,0.000034114168,0.0000019808576],"category_scores_gemma":[0.000047394118,0.000040985855,0.000011804557,0.0009432493,0.0000488427,0.0030659304,0.000015594342,0.00032642583,0.0000020413286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009613048,0.00000477051,0.000011335215,0.000044096803,0.0000027519577,0.0000027742349,0.00040521397,0.9173588,0.0070547094,0.015898352,0.00012303438,0.05908456],"study_design_scores_gemma":[0.000049358317,0.0002055291,0.000017368717,0.00017196704,8.537162e-7,0.000036501344,0.000066467794,0.972014,0.023310151,0.00039521512,0.0036826506,0.000049955113],"about_ca_topic_score_codex":6.987995e-7,"about_ca_topic_score_gemma":0.0000012897707,"teacher_disagreement_score":0.912655,"about_ca_system_score_codex":0.00030662835,"about_ca_system_score_gemma":0.00008331702,"threshold_uncertainty_score":0.22227256},"labels":[],"label_agreement":null},{"id":"W4392399537","doi":"10.1109/lcomm.2024.3372585","title":"A General Analytical Framework for the Resolution of Near-Field Beamforming","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Beamforming; Computer science; Field (mathematics); Telecommunications; Algorithm; Mathematics","score_opus":0.029654838238599712,"score_gpt":0.30194195652485467,"score_spread":0.27228711828625496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392399537","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":[0.0019667812,0.0016527765,0.9900502,0.0053185266,0.00038450977,0.00025354867,0.00001033676,0.0001724639,0.00019084541],"genre_scores_gemma":[0.66159946,0.00022742458,0.33756056,0.0002836043,0.00011754511,0.00013879446,0.000014419316,0.000030951865,0.00002722082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999496,0.000021635524,0.00022245811,0.00007675466,0.000060932474,0.0001222633],"domain_scores_gemma":[0.99814427,0.0009429954,0.000023411036,0.0008410399,0.000029573815,0.000018719144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001506767,0.0000738236,0.00008923022,0.000054884997,0.00013921552,0.00004510538,0.00038884796,0.00005695542,0.0000038615194],"category_scores_gemma":[0.000081116166,0.00006332166,0.00007066106,0.00025983367,0.00007454934,0.0001206231,0.00003335301,0.00020082101,0.0000055146893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004163764,0.0000070486017,0.00001616792,0.000087686225,0.00008397748,2.0783155e-7,0.0005556951,0.9492503,0.006192201,0.031416025,0.0067342957,0.005652221],"study_design_scores_gemma":[0.000041141353,0.000007973068,0.000010260574,0.00010395881,0.00003551835,0.0000024382452,0.000039530103,0.9821192,0.0009799522,0.00045748602,0.016134106,0.00006844928],"about_ca_topic_score_codex":0.000016153594,"about_ca_topic_score_gemma":0.00000924926,"teacher_disagreement_score":0.6596327,"about_ca_system_score_codex":0.00006218399,"about_ca_system_score_gemma":0.000012089503,"threshold_uncertainty_score":0.25821823},"labels":[],"label_agreement":null},{"id":"W4392449535","doi":"10.1109/jiot.2024.3373374","title":"I/Q Imbalance Compensation in Cell-Free Massive MIMO During Uplink Transmission","year":2024,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Queen's University Belfast; H2020 European Research Council; Aristotle University of Thessaloniki; Royal Academy of Engineering; Queen's University; European Commission; Chalmers Tekniska Högskola; Leverhulme Trust; Engineering and Physical Sciences Research Council; UK Research and Innovation; University of Bristol; Government of the United Kingdom","keywords":"MIMO; Telecommunications link; Compensation (psychology); Computer science; Spectral efficiency; Control theory (sociology); Upper and lower bounds; Transmission (telecommunications); Telecommunications; Mathematics","score_opus":0.006278775269178662,"score_gpt":0.21745729293359878,"score_spread":0.2111785176644201,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392449535","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":[0.27416158,0.0015031142,0.72148496,0.000085116466,0.0014066641,0.00010673005,0.0000012463262,0.00012966093,0.0011209581],"genre_scores_gemma":[0.98543996,0.00023690844,0.013784705,0.000008230409,0.00012768024,0.0000036521783,0.0000018722868,0.000044254433,0.0003527371],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895597,0.00002522275,0.00052516966,0.00013721183,0.00016524487,0.000191183],"domain_scores_gemma":[0.9996274,0.000035636385,0.000094901916,0.0001261453,0.00005314782,0.00006277618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020333567,0.00014776831,0.00020401235,0.00027277466,0.000020587231,0.00007629364,0.00025665696,0.00009356918,0.000048584014],"category_scores_gemma":[0.000016038573,0.00014319175,0.00008177153,0.00016068543,0.000016979398,0.00065144215,0.000016194004,0.0005003468,0.000012464313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004212115,0.000023179966,0.0002466039,0.0008344826,0.000042909156,0.00015338065,0.0057121823,0.66047966,0.32745603,0.00006033803,0.000951305,0.003997782],"study_design_scores_gemma":[0.0005999335,0.000032703043,0.00022017577,0.0019918787,0.000012249298,0.00017749613,0.00008119062,0.78221875,0.21374226,0.00054830813,0.00020343816,0.00017160097],"about_ca_topic_score_codex":0.00001726181,"about_ca_topic_score_gemma":0.0000015379359,"teacher_disagreement_score":0.7112784,"about_ca_system_score_codex":0.0002243925,"about_ca_system_score_gemma":0.000017082937,"threshold_uncertainty_score":0.583919},"labels":[],"label_agreement":null},{"id":"W4392492776","doi":"","title":"Green radio link adaptation and optimization techniques","year":2014,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Adaptation (eye); Link (geometry); Computer science; Computer network; Psychology","score_opus":0.019330635131090894,"score_gpt":0.2351780205911405,"score_spread":0.2158473854600496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392492776","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":[0.00043543286,0.0023517052,0.97537196,0.00052209955,0.00105358,0.0015993194,0.000057274152,0.0012593664,0.017349249],"genre_scores_gemma":[0.41472253,0.003896907,0.5782082,0.000043883447,0.0015215098,0.00029649833,0.00040046682,0.00031631303,0.0005936748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99689883,0.0003049084,0.0010029185,0.00087109476,0.0003442104,0.0005780177],"domain_scores_gemma":[0.99770886,0.00028250294,0.0005101235,0.0009524327,0.0003183108,0.00022775306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070092024,0.0008228646,0.00090714585,0.00035474857,0.00017938457,0.00017576218,0.0004150473,0.001045969,0.00014694246],"category_scores_gemma":[0.00022308047,0.00094905164,0.00014873354,0.00029811708,0.00015772022,0.00058010576,0.00031211137,0.00082615827,0.00010198092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017363202,0.000023406541,0.000071243914,0.00086006435,0.00011417759,0.0000050876215,0.0032181193,0.9145677,0.0004489889,0.01671872,0.000034333996,0.06392082],"study_design_scores_gemma":[0.00041407597,0.00008225888,0.00006679253,0.0013671509,0.00019506182,0.000047756213,0.00045223982,0.9770901,0.0023749475,0.0025502138,0.01440148,0.0009579131],"about_ca_topic_score_codex":0.0029580623,"about_ca_topic_score_gemma":0.00014649458,"teacher_disagreement_score":0.41428712,"about_ca_system_score_codex":0.0005537218,"about_ca_system_score_gemma":0.00006655207,"threshold_uncertainty_score":0.999296},"labels":[],"label_agreement":null},{"id":"W4392543016","doi":"10.32920/25363978.v1","title":"Weighted sum-rate maximization for multi-user SIMO multiple access channels in cognitive radio networks","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Tsinghua National Laboratory for Information Science and Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cognitive radio; Maximization; Computer science; Computer network; Expectation–maximization algorithm; Maximum likelihood; Telecommunications; Mathematics; Statistics; Mathematical optimization; Wireless","score_opus":0.03870487932327873,"score_gpt":0.2959631173665398,"score_spread":0.2572582380432611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392543016","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":[0.0020312918,0.0012772725,0.98696923,0.000026607016,0.0039920253,0.003829629,0.00019090071,0.0012347179,0.00044830234],"genre_scores_gemma":[0.9451215,0.0007474717,0.043309845,0.000056007397,0.00078231655,0.0029704843,0.0028849968,0.00047776135,0.00364958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978218,0.000067296845,0.000739856,0.00075247645,0.00011004136,0.00050850294],"domain_scores_gemma":[0.99888664,0.0002890203,0.00013526599,0.00033015487,0.00025978053,0.00009911645],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028174528,0.00057922653,0.00062300486,0.0004791027,0.000049144568,0.00028247622,0.00032775805,0.0007118575,0.000053446693],"category_scores_gemma":[0.0001463371,0.0006106313,0.00014485631,0.0004686836,0.000025790468,0.0003214602,0.00043292894,0.0007165856,0.000019786952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041081676,0.000031485324,0.0002628277,0.0008491307,0.00013452933,0.000008270051,0.00025899775,0.99656445,0.000022246,0.00011430159,0.0006356805,0.0010770153],"study_design_scores_gemma":[0.0014496073,0.00001130815,0.00006916833,0.0010629053,0.000071072056,0.0000014126086,0.0000745967,0.9947644,0.0011255419,0.00045883085,0.00024751553,0.00066362513],"about_ca_topic_score_codex":0.00008488106,"about_ca_topic_score_gemma":0.00044606245,"teacher_disagreement_score":0.9436594,"about_ca_system_score_codex":0.0003496662,"about_ca_system_score_gemma":0.00004623909,"threshold_uncertainty_score":0.9996345},"labels":[],"label_agreement":null},{"id":"W4392543038","doi":"10.32920/25363978","title":"Weighted sum-rate maximization for multi-user SIMO multiple access channels in cognitive radio networks","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Tsinghua National Laboratory for Information Science and Technology; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Cognitive radio; Maximization; Computer science; Cognition; Computer network; Telecommunications; Mathematics; Mathematical optimization; Psychology; Wireless; Neuroscience","score_opus":0.03870487932327873,"score_gpt":0.2959631173665398,"score_spread":0.2572582380432611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392543038","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":[0.0020312918,0.0012772725,0.98696923,0.000026607016,0.0039920253,0.003829629,0.00019090071,0.0012347179,0.00044830234],"genre_scores_gemma":[0.9451215,0.0007474717,0.043309845,0.000056007397,0.00078231655,0.0029704843,0.0028849968,0.00047776135,0.00364958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978218,0.000067296845,0.000739856,0.00075247645,0.00011004136,0.00050850294],"domain_scores_gemma":[0.99888664,0.0002890203,0.00013526599,0.00033015487,0.00025978053,0.00009911645],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028174528,0.00057922653,0.00062300486,0.0004791027,0.000049144568,0.00028247622,0.00032775805,0.0007118575,0.000053446693],"category_scores_gemma":[0.0001463371,0.0006106313,0.00014485631,0.0004686836,0.000025790468,0.0003214602,0.00043292894,0.0007165856,0.000019786952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041081676,0.000031485324,0.0002628277,0.0008491307,0.00013452933,0.000008270051,0.00025899775,0.99656445,0.000022246,0.00011430159,0.0006356805,0.0010770153],"study_design_scores_gemma":[0.0014496073,0.00001130815,0.00006916833,0.0010629053,0.000071072056,0.0000014126086,0.0000745967,0.9947644,0.0011255419,0.00045883085,0.00024751553,0.00066362513],"about_ca_topic_score_codex":0.00008488106,"about_ca_topic_score_gemma":0.00044606245,"teacher_disagreement_score":0.9436594,"about_ca_system_score_codex":0.0003496662,"about_ca_system_score_gemma":0.00004623909,"threshold_uncertainty_score":0.9996345},"labels":[],"label_agreement":null},{"id":"W4392614792","doi":"10.1002/ett.4947","title":"A deep learning approach based on Richardson and Gauss–Seidel for massive <scp>MIMO</scp> detection","year":2024,"lang":"en","type":"article","venue":"Transactions on Emerging Telecommunications Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Gauss–Seidel method; Deep learning; Computer science; Artificial intelligence; Chemistry; Algorithm; Iterative method","score_opus":0.012468472562522754,"score_gpt":0.24209473386983255,"score_spread":0.2296262613073098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392614792","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":[0.000887171,0.0017806999,0.9872503,0.00042389327,0.00016038308,0.00070246623,0.00001264259,0.0075784326,0.0012039677],"genre_scores_gemma":[0.8653929,0.0014444524,0.13169065,0.0000115719195,0.000011612071,0.001178479,0.00003438126,0.00009347856,0.00014245263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882144,0.000047186553,0.00033703807,0.00035967046,0.00011697648,0.00031768085],"domain_scores_gemma":[0.9984633,0.0006183631,0.000057045327,0.00072969205,0.00009834598,0.00003327175],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019983819,0.00028314735,0.00022474457,0.00091487286,0.0006003414,0.00010319967,0.00032863414,0.000259564,0.0000032221196],"category_scores_gemma":[0.00021340825,0.00030222043,0.00010202855,0.00095715286,0.00009690212,0.00026467178,0.000011063727,0.0008011379,0.000013444324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003148141,0.00003903917,0.0000024184305,0.00014384523,0.000054324806,3.0040135e-7,0.0002429693,0.87871635,0.001447262,0.0004157838,0.000043320124,0.118891224],"study_design_scores_gemma":[0.0002247933,0.00012141925,0.000009494515,0.00013244557,0.000059263737,0.000005711986,0.0027613747,0.97926617,0.011163221,0.00044324648,0.0056656497,0.00014718642],"about_ca_topic_score_codex":0.000006771794,"about_ca_topic_score_gemma":0.000019656933,"teacher_disagreement_score":0.86450577,"about_ca_system_score_codex":0.00023663168,"about_ca_system_score_gemma":0.000016858377,"threshold_uncertainty_score":0.999943},"labels":[],"label_agreement":null},{"id":"W4392798588","doi":"10.36227/techrxiv.171043370.00711282/v1","title":"Statistical Characterization of 28GHz V2X Channels via Autonomous Beam-Steered Measurements","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Characterization (materials science); Beam (structure); Computer science; Materials science; Physics; Nanotechnology; Optics","score_opus":0.02393584312910416,"score_gpt":0.24589898526417145,"score_spread":0.2219631421350673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392798588","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":[0.0052397023,0.00016286047,0.985663,0.000016275659,0.0029437486,0.000872645,0.0003581987,0.00090921915,0.0038343712],"genre_scores_gemma":[0.982196,0.00003424102,0.013948104,0.0000087321,0.00027211884,0.00017269286,0.0015852845,0.00018237729,0.0016004867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982235,0.00003228379,0.0007624608,0.00041834053,0.00029643672,0.0002670059],"domain_scores_gemma":[0.99914193,0.000023365266,0.00013597767,0.00043025814,0.00017741042,0.00009104756],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017968596,0.0003781483,0.0005266459,0.00023683463,0.000020720929,0.00005836235,0.00019890847,0.00035027118,0.00037214885],"category_scores_gemma":[0.00003225918,0.00040532186,0.000079349724,0.00015413568,0.000026230082,0.00008739323,0.00025433218,0.0003833124,0.00021197714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008746871,0.00003535155,0.000022134946,0.0030324555,0.00027120943,0.0000055899714,0.00028287972,0.8898804,0.1001185,0.00032055585,0.00018877294,0.0058334093],"study_design_scores_gemma":[0.00032396207,0.00004093524,0.00018166781,0.00077664526,0.00017048551,0.000008433857,0.000013523045,0.9331267,0.06228201,0.0017943609,0.00050389103,0.0007774116],"about_ca_topic_score_codex":0.00002410023,"about_ca_topic_score_gemma":0.000003675438,"teacher_disagreement_score":0.97695625,"about_ca_system_score_codex":0.000301508,"about_ca_system_score_gemma":0.0000615959,"threshold_uncertainty_score":0.99983984},"labels":[],"label_agreement":null},{"id":"W4393078849","doi":"10.1109/twc.2024.3378186","title":"Meta-Learning-Based Fronthaul Compression for Cloud Radio Access Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Research Chairs","keywords":"Cloud computing; Computer science; Remote radio head; Radio access network; Computer network; Wireless; Telecommunications; Cognitive radio; Base station","score_opus":0.048754055539787865,"score_gpt":0.2948889474121952,"score_spread":0.2461348918724073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393078849","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":[0.00012946232,0.0037776597,0.99142814,0.00034343102,0.0013276804,0.0007814838,0.00010088684,0.0017931971,0.00031805775],"genre_scores_gemma":[0.98499215,0.0010878567,0.011598567,0.000038353573,0.00008059418,0.0015791416,0.00012781266,0.00014094944,0.0003545606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873096,0.00014829989,0.00043492782,0.0002752314,0.00013066432,0.0002799168],"domain_scores_gemma":[0.99765533,0.0008896887,0.000054188633,0.0012018258,0.00010021976,0.000098756325],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019765856,0.00028295384,0.0003676486,0.00025579182,0.0005304388,0.00019420413,0.0008073701,0.00017614021,0.00006944419],"category_scores_gemma":[0.0000040644086,0.0002821604,0.000313041,0.000511358,0.000087197426,0.00042483996,0.0000051154575,0.00066199584,0.000024302137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014025542,0.00006696326,0.0000010910628,0.000106589745,0.00054214324,5.147736e-7,0.00011087122,0.9899769,0.00028022937,0.00021017465,0.00069166155,0.007998869],"study_design_scores_gemma":[0.00031497542,0.00003357304,0.000002147387,0.00015870658,0.00063044624,0.0000027830733,0.00003086575,0.98346025,0.0031285794,0.00004687092,0.011915967,0.00027484173],"about_ca_topic_score_codex":0.000023381142,"about_ca_topic_score_gemma":0.00010999345,"teacher_disagreement_score":0.9848627,"about_ca_system_score_codex":0.00018242448,"about_ca_system_score_gemma":0.000039703165,"threshold_uncertainty_score":0.99996305},"labels":[],"label_agreement":null},{"id":"W4393305249","doi":"10.1109/comst.2024.3383093","title":"Beam Alignment in mmWave V2X Communications: A Survey","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University","funders":"Fundamental Research Funds for the Central Universities; Shaanxi Province Postdoctoral Science Foundation; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Computer science; Telecommunications; Computer network","score_opus":0.06567025664363488,"score_gpt":0.31940126080088255,"score_spread":0.2537310041572477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393305249","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":[0.032883927,0.11300533,0.77250785,0.0014786974,0.028640471,0.0072467495,0.0025223906,0.007896901,0.03381769],"genre_scores_gemma":[0.98163027,0.0072192573,0.009073564,0.000018319399,0.00019650297,0.0005916646,0.000839298,0.00012445626,0.00030668246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952176,0.0027572617,0.0010840594,0.00032250892,0.00023575332,0.00038278967],"domain_scores_gemma":[0.9914917,0.0031451043,0.000093392584,0.0049653943,0.00020496719,0.000099462515],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006753683,0.00031227153,0.00046181172,0.00039867923,0.0001864973,0.00019738585,0.00199821,0.00020476096,0.000028020724],"category_scores_gemma":[0.00048736043,0.00035681474,0.00008930707,0.001369759,0.00021045475,0.00052911055,0.00032407886,0.00047159355,0.00028567764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046311354,0.0015516741,0.017141588,0.0011544711,0.0014258251,0.000030503596,0.014465866,0.7661682,0.046993345,0.030259995,0.046840806,0.07392145],"study_design_scores_gemma":[0.002757573,0.0001990594,0.026510697,0.0025859117,0.00020365801,0.00005298908,0.0010079381,0.6284597,0.008375413,0.004722587,0.32119215,0.0039323345],"about_ca_topic_score_codex":0.0011642269,"about_ca_topic_score_gemma":0.005748266,"teacher_disagreement_score":0.9487463,"about_ca_system_score_codex":0.00065599394,"about_ca_system_score_gemma":0.00012348965,"threshold_uncertainty_score":0.99988836},"labels":[],"label_agreement":null},{"id":"W4394586216","doi":"10.1109/tgcn.2024.3386066","title":"Energy-Efficient Carrier Aggregation in 5G Using Constrained Multi-Agent MDP","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Ericsson (Canada); University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Energy (signal processing); Mathematical optimization; Mathematics; Statistics","score_opus":0.035820451574171006,"score_gpt":0.2651520960522664,"score_spread":0.2293316444780954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394586216","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":[0.0029092252,0.007830877,0.98781115,0.00006202348,0.0005810673,0.00016758067,0.00003043594,0.00027984407,0.00032777232],"genre_scores_gemma":[0.9859608,0.0032671061,0.010493738,0.00002339141,0.00004849417,0.00005934149,0.00001328288,0.000046821915,0.00008705566],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999106,0.00008009905,0.00033232986,0.00020026202,0.00008187508,0.00019942793],"domain_scores_gemma":[0.9992431,0.00014632534,0.00002928544,0.00048365834,0.00003872462,0.00005890023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013735317,0.00016411317,0.00015065876,0.000240379,0.00023193505,0.00006734111,0.00013224999,0.00009807146,0.000008041015],"category_scores_gemma":[2.7474937e-7,0.00018774283,0.00005131294,0.00058675325,0.00007267127,0.00012647979,0.0000035706964,0.0002694178,0.0000027831272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002326829,0.000028229751,0.000007059141,0.000030982654,0.000031183838,0.0000034747109,0.0004272085,0.6948078,0.0008097898,0.00007200351,0.0000035748435,0.30377632],"study_design_scores_gemma":[0.00023555609,0.0000089090145,0.0000031250408,0.00041111824,0.000032335745,0.000025038333,0.000114870345,0.9953344,0.00070327526,0.00004465851,0.0029075248,0.0001791832],"about_ca_topic_score_codex":0.0002750321,"about_ca_topic_score_gemma":0.001320271,"teacher_disagreement_score":0.98305154,"about_ca_system_score_codex":0.00020254955,"about_ca_system_score_gemma":0.000033414944,"threshold_uncertainty_score":0.765593},"labels":[],"label_agreement":null},{"id":"W4394595059","doi":"10.1109/lmwt.2024.3382595","title":"Active Calibration Approach Addressing Antenna Mutual Coupling and Power Amplifier Output Mismatch in Fully Digital MIMO Transmitters","year":2024,"lang":"en","type":"article","venue":"IEEE Microwave and Wireless Technology Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Amplifier; MIMO; Electronic engineering; Antenna (radio); Power (physics); Coupling (piping); Computer science; 3G MIMO; Calibration; Electrical engineering; Engineering; Physics; CMOS; Beamforming","score_opus":0.009721159406963548,"score_gpt":0.20832099954812014,"score_spread":0.1985998401411566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394595059","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":[0.5581971,0.000553312,0.4400779,0.00046350504,0.00014952125,0.00017407926,0.000013155794,0.00033397437,0.000037462338],"genre_scores_gemma":[0.9974519,0.00008798471,0.0021703516,0.00010483965,0.000039813334,0.00003737635,0.000025372774,0.00006804827,0.000014303622],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888575,0.000008351167,0.0002852873,0.00041790816,0.00006982856,0.00033287212],"domain_scores_gemma":[0.99972653,0.000040517265,0.00003123066,0.00014362727,0.000015313057,0.000042787553],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000058150657,0.00025872505,0.0002757131,0.00049587176,0.000060005015,0.0001576764,0.00009038487,0.0002782024,6.806427e-7],"category_scores_gemma":[0.000004397959,0.0002711072,0.00003302758,0.00036915272,0.00020509203,0.00055867084,0.000021448932,0.00039930243,0.0000022510173],"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":[0.000020268719,0.000014963158,0.0005283638,0.00026071942,0.00007177708,0.00008043096,0.0018399634,0.010363243,0.974112,0.00009660902,0.00020688094,0.012404804],"study_design_scores_gemma":[0.0011621666,0.00005624845,0.00020905446,0.00093625236,0.000052316715,0.0004134615,0.0032639739,0.8473496,0.14496797,0.00020395107,0.00034526183,0.0010397456],"about_ca_topic_score_codex":0.0000048944835,"about_ca_topic_score_gemma":0.000005443479,"teacher_disagreement_score":0.83698636,"about_ca_system_score_codex":0.00008755245,"about_ca_system_score_gemma":0.000011212598,"threshold_uncertainty_score":0.99997413},"labels":[],"label_agreement":null},{"id":"W4394805428","doi":"10.1109/mvt.2024.3383654","title":"Integrated Sensing and Communication Channel Modeling and Measurements: <i>Requirements and Methodologies Toward 6G Standardization</i>","year":2024,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Standardization; Channel (broadcasting); Systems engineering; Telecommunications; Computer science; Engineering","score_opus":0.058721564643693686,"score_gpt":0.28972111466527445,"score_spread":0.23099955002158076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394805428","genre_codex":"methods","genre_gemma":"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":[0.053689387,0.01780768,0.92630285,0.00037979338,0.00017184591,0.00028513238,0.000010192003,0.0012769264,0.00007617915],"genre_scores_gemma":[0.89433414,0.0030623146,0.10246868,0.000018521576,0.000015948332,0.000018154204,0.000021945028,0.00004771275,0.000012571536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990655,0.00006592725,0.0002814195,0.00028783877,0.00010453249,0.00019479323],"domain_scores_gemma":[0.9995085,0.000041639923,0.000032332508,0.00024535944,0.0001368386,0.000035343262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045755345,0.00020666695,0.00025549263,0.0003677615,0.00009760192,0.00008136896,0.00007640717,0.00022417719,8.7760384e-7],"category_scores_gemma":[0.00012440128,0.00020236598,0.000014900209,0.00042218535,0.00013507622,0.00029457573,0.000075446755,0.0002415447,0.0000021797518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001566579,0.000008237696,0.00017122287,0.00064558076,0.0002691176,0.000020197414,0.0006320896,0.6932325,0.24034582,0.00042706454,0.00018600446,0.064046524],"study_design_scores_gemma":[0.0002934637,0.000026807538,0.000005397404,0.00036536748,0.0000601086,0.000077023695,0.00023530028,0.98108196,0.013882271,0.0033557056,0.00040837805,0.00020821705],"about_ca_topic_score_codex":0.000006479894,"about_ca_topic_score_gemma":0.00001530195,"teacher_disagreement_score":0.8406448,"about_ca_system_score_codex":0.00008549962,"about_ca_system_score_gemma":0.000011526041,"threshold_uncertainty_score":0.8252245},"labels":[],"label_agreement":null},{"id":"W4395463321","doi":"10.18280/isi.290203","title":"Maximizing IoT Throughput with Optimized IRS-Assisted Symbiotic Radio","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Throughput; Internet of Things; Computer science; Computer network; Telecommunications; Wireless; Computer security","score_opus":0.010410934209440677,"score_gpt":0.2112708408918882,"score_spread":0.20085990668244752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395463321","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":[0.015360191,0.0011196353,0.9629069,0.000021209467,0.0009380705,0.00059675396,0.000021680125,0.0025643262,0.016471243],"genre_scores_gemma":[0.92712784,0.00008312938,0.07222707,0.000026284599,0.00010679432,0.000097383985,0.00014983547,0.00007572741,0.000105961924],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985276,0.000033248176,0.000652766,0.0001669812,0.00023391069,0.00038549615],"domain_scores_gemma":[0.9992823,0.00008612651,0.00009842878,0.00030661072,0.00013762146,0.00008891385],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022469612,0.00031290654,0.00031866378,0.00035767158,0.00016618785,0.00047973875,0.00016133615,0.00015694527,0.00004112373],"category_scores_gemma":[0.000061948675,0.00028261496,0.000073253475,0.00075329246,0.0000792604,0.0029518418,0.000028194238,0.00022389878,0.00019060225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038338643,0.0000074085056,0.00003987786,0.002065762,0.00016911252,0.000016762526,0.0055056373,0.95447737,0.00055971544,0.0016324699,0.0005220699,0.03496548],"study_design_scores_gemma":[0.0009320931,0.00008915567,0.0002139092,0.0017421836,0.000084191626,0.0004008979,0.0011756788,0.9880881,0.0024917058,0.00045507908,0.0036778825,0.0006491349],"about_ca_topic_score_codex":0.000019632955,"about_ca_topic_score_gemma":0.000005659743,"teacher_disagreement_score":0.9117676,"about_ca_system_score_codex":0.0007896865,"about_ca_system_score_gemma":0.000058741356,"threshold_uncertainty_score":0.9999626},"labels":[],"label_agreement":null},{"id":"W4396531266","doi":"10.22215/etd/2023-15915","title":"Decentralized Resource Allocation in 5G Networks with Heterogeneous Multi-Agent Reinforcement Learning","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Resource allocation; Computer science; Distributed computing; Reinforcement; Artificial intelligence; Computer network; Psychology; Social psychology","score_opus":0.010877339152324028,"score_gpt":0.23822052660279855,"score_spread":0.22734318745047452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396531266","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":[0.010610648,0.0007267617,0.98187697,0.0000055452215,0.0007128086,0.0015168069,9.503735e-7,0.0016192412,0.0029302437],"genre_scores_gemma":[0.96541,0.0016473219,0.004542783,0.000016527922,0.00008899864,0.00048364297,0.005867712,0.0004087989,0.021534199],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845237,0.000044921722,0.0005537311,0.00033217607,0.00020890172,0.00040790177],"domain_scores_gemma":[0.99942875,0.00003860755,0.00014720311,0.0002415625,0.00006671428,0.000077146826],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012929602,0.0003642006,0.00034437954,0.00028929263,0.00005964645,0.000046667657,0.00012900942,0.0002939595,0.000039218558],"category_scores_gemma":[0.000026763915,0.00036620643,0.000052034466,0.0004519022,0.0000074019576,0.00009402478,0.000008661222,0.00038378683,0.000040867697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055951125,0.000008375334,0.000066888315,0.00018499483,0.000059088296,0.000015000967,0.0008071627,0.9967018,0.0000893145,0.0000085699785,0.00008103056,0.0019218398],"study_design_scores_gemma":[0.0008252755,0.000037987054,0.00017934918,0.00048289064,0.000028528497,0.0000033537115,0.00087165314,0.99509245,0.0008157853,6.333829e-7,0.001242864,0.00041923733],"about_ca_topic_score_codex":0.00016237778,"about_ca_topic_score_gemma":0.0035612893,"teacher_disagreement_score":0.9773342,"about_ca_system_score_codex":0.00038762923,"about_ca_system_score_gemma":0.000022315622,"threshold_uncertainty_score":0.999879},"labels":[],"label_agreement":null},{"id":"W4396596886","doi":"10.1109/twc.2024.3393869","title":"Uplink Resource Allocation Optimization for User-Centric Cell-Free MIMO Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Telecommunications link; Computer science; MIMO; Computer network; Resource allocation; Resource management (computing); Mathematical optimization; Telecommunications; Channel (broadcasting); Mathematics","score_opus":0.014592156190829549,"score_gpt":0.23879662954519698,"score_spread":0.22420447335436744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396596886","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":[0.00014613962,0.0018962492,0.9930405,0.0005230033,0.00077813776,0.0010570002,0.00009212256,0.0016332426,0.0008336079],"genre_scores_gemma":[0.8967869,0.003181982,0.097659,0.000053220094,0.000096695396,0.0011009269,0.0002983061,0.00019039937,0.0006325468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998594,0.00007823444,0.0005324961,0.00032526357,0.00014131922,0.0003286817],"domain_scores_gemma":[0.997244,0.00047765556,0.000054363252,0.0019721058,0.00014530006,0.00010657553],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020035502,0.00028443235,0.00022721439,0.0003894551,0.00047716298,0.00015540543,0.00084430404,0.0002310066,0.000031281368],"category_scores_gemma":[0.00000837465,0.0003349953,0.0001610064,0.0009839145,0.000070397735,0.00043516958,0.000007453886,0.00045412712,0.000029366063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011212455,0.000095697666,5.37522e-7,0.0001349169,0.000057938414,3.3580145e-7,0.00019568898,0.97976184,0.00031643658,0.00086203904,0.0015934338,0.016969943],"study_design_scores_gemma":[0.00045904523,0.000034838955,8.784423e-7,0.00017858928,0.000101032485,0.0000059085696,0.00008571996,0.9893393,0.002225394,0.000042086027,0.0072144656,0.0003127659],"about_ca_topic_score_codex":0.000012456916,"about_ca_topic_score_gemma":0.000051170875,"teacher_disagreement_score":0.8966408,"about_ca_system_score_codex":0.0003190716,"about_ca_system_score_gemma":0.00004502777,"threshold_uncertainty_score":0.99991024},"labels":[],"label_agreement":null},{"id":"W4396782545","doi":"10.1139/facets-2023-0164","title":"A novel energy-saving method for campus wired and dense WiFi network applying machine learning and idle cycling techniques","year":2024,"lang":"en","type":"article","venue":"FACETS","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Idle; Cycling; Computer science; Energy (signal processing); Computer network; Real-time computing; Automotive engineering; Engineering; Operating system","score_opus":0.009740327185239456,"score_gpt":0.26290780528257274,"score_spread":0.2531674780973333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396782545","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":[0.0023273602,0.008814307,0.98710245,0.000013577405,0.00021240937,0.00033292503,0.000009355533,0.00093397626,0.00025363496],"genre_scores_gemma":[0.3933627,0.0002988607,0.60544646,0.000013523894,0.00019929337,0.0002117727,0.000021380798,0.00009062742,0.00035540512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921787,0.000021444801,0.00020441643,0.00025434067,0.000057541536,0.00024441537],"domain_scores_gemma":[0.9995847,0.00022552467,0.000033062417,0.000079741,0.000022095483,0.00005492005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029424552,0.00017104126,0.00020579458,0.00010554208,0.00013272323,0.00009984915,0.0000385331,0.00009847277,0.0000014490868],"category_scores_gemma":[0.000057990925,0.00017934461,0.00002776498,0.0001811198,0.00001260814,0.00017233612,0.00004256224,0.00013182085,3.6108204e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010131312,0.000003928025,0.00023233921,0.0004933448,0.00007114371,0.0000051169814,0.0005532716,0.63216615,0.22277771,0.0010859376,0.00010978492,0.14249115],"study_design_scores_gemma":[0.0001645308,0.000019279612,0.0000099940025,0.00035355228,0.000027851529,0.000059599693,0.00004691967,0.9741874,0.006047056,0.00032237885,0.018544788,0.00021667208],"about_ca_topic_score_codex":0.000021008129,"about_ca_topic_score_gemma":0.000045656183,"teacher_disagreement_score":0.39103532,"about_ca_system_score_codex":0.000046533416,"about_ca_system_score_gemma":0.0000064408473,"threshold_uncertainty_score":0.73134613},"labels":[],"label_agreement":null},{"id":"W4396817504","doi":"10.1109/twc.2024.3392443","title":"Low Complexity SLP: An Inversion-Free, Parallelizable ADMM Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Key Science and Technology Program of Shaanxi Province; Queen's University Belfast; Horizon 2020 Framework Programme; Young Elite Scientists Sponsorship Program by Tianjin; Shaanxi Science and Technology Association; University of Patras; Queen's University; National Key Research and Development Program of China; University College London; Southeast University; National Natural Science Foundation of China; University of Manchester; National Mobile Communications Research Laboratory, Southeast University; Engineering and Physical Sciences Research Council","keywords":"Computational complexity theory; Computer science; Algorithm; Singular value decomposition; Precoding; Mathematical optimization; Inversion (geology); Rate of convergence; Parallelizable manifold; Mathematics; MIMO; Channel (broadcasting)","score_opus":0.04108308614738084,"score_gpt":0.26522101860961694,"score_spread":0.2241379324622361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396817504","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":[0.0019865502,0.0005041797,0.98761934,0.00020454635,0.00049779913,0.00043394323,0.0001779261,0.0019816477,0.0065940674],"genre_scores_gemma":[0.94241655,0.00097086036,0.055578012,0.00004189187,0.00003517197,0.0002959261,0.00014535898,0.00009783725,0.00041838543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874276,0.00012647147,0.00037168997,0.00029953395,0.00017870149,0.0002808335],"domain_scores_gemma":[0.9969649,0.00014790984,0.000030214922,0.0026233376,0.00007932282,0.00015431448],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013966733,0.0002551181,0.0002324821,0.00027544942,0.00046760924,0.00012355534,0.0010840636,0.00015243424,0.00007169667],"category_scores_gemma":[0.00000313696,0.0002850999,0.00011105934,0.0007172081,0.00018553715,0.0007131638,0.00000942528,0.000579803,0.00017201119],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007211078,0.00028502458,8.980525e-7,0.00020414665,0.000070548595,0.0000012073592,0.00082671683,0.9831884,0.0017370443,0.0038359456,0.0011597946,0.008683098],"study_design_scores_gemma":[0.0002635073,0.000033330605,0.0000034113946,0.00013489352,0.000041822783,0.00001191473,0.0002631453,0.99240214,0.003342333,0.00046605416,0.0027254538,0.00031202417],"about_ca_topic_score_codex":0.00006938969,"about_ca_topic_score_gemma":0.00028458642,"teacher_disagreement_score":0.94043,"about_ca_system_score_codex":0.00022733951,"about_ca_system_score_gemma":0.000041751213,"threshold_uncertainty_score":0.9999601},"labels":[],"label_agreement":null},{"id":"W4396879181","doi":"10.1109/fnwf58287.2023.10520395","title":"Geospatial Analysis of Future Spectrum Requirements for 5G FWA Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Geospatial analysis; Broadband; Computer science; Wireless; Telecommunications; Focus (optics); Wireless broadband; Broadband networks; Wireless network; Remote sensing; Geography","score_opus":0.01414850455563604,"score_gpt":0.2523519493166423,"score_spread":0.23820344476100624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396879181","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":[0.014068273,0.00012534222,0.981662,0.00003395034,0.0012655677,0.00049826613,0.00006766023,0.000628831,0.0016501135],"genre_scores_gemma":[0.9969338,0.000038602986,0.0017385745,0.0000029134555,0.00025266185,0.00006681484,0.00019334565,0.00003152818,0.00074172975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928296,0.000008195649,0.0002991238,0.00012450368,0.000108220534,0.00017701602],"domain_scores_gemma":[0.99964064,0.00002806155,0.00005208427,0.00020499386,0.000043102995,0.00003114012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011329893,0.00009491116,0.00025487496,0.00032603848,0.000024737767,0.000011732451,0.00008080363,0.000060413397,0.000029848745],"category_scores_gemma":[0.000011399141,0.00009128639,0.00009124245,0.0011237704,0.0000050990107,0.00010028975,0.0000070346155,0.000027014401,0.000014693677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003433528,0.0000034868951,0.00035720618,0.00014268993,0.00044052268,4.370282e-7,0.00010189684,0.995378,0.0012564561,0.001262814,0.00086733117,0.00018570475],"study_design_scores_gemma":[0.00015434506,0.000017493747,0.00044320288,0.0000135349865,0.00017073104,1.9673698e-7,0.0002694914,0.9963003,0.0019006429,0.000047582405,0.0005782667,0.00010425133],"about_ca_topic_score_codex":0.0000445691,"about_ca_topic_score_gemma":0.000115482726,"teacher_disagreement_score":0.9828656,"about_ca_system_score_codex":0.00005414412,"about_ca_system_score_gemma":0.0000047225853,"threshold_uncertainty_score":0.37225512},"labels":[],"label_agreement":null},{"id":"W4398784445","doi":"10.1016/j.dsp.2024.104595","title":"Statistical spatial information based power optimization algorithm for multi-user massive MIMO systems","year":2024,"lang":"en","type":"article","venue":"Digital Signal Processing","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":"National Natural Science Foundation of China","keywords":"Computer science; MIMO; Statistical power; Algorithm; Power (physics); Optimization algorithm; Data mining; Theoretical computer science; Mathematical optimization; Mathematics; Telecommunications; Statistics","score_opus":0.009085025563764292,"score_gpt":0.23557964392396868,"score_spread":0.2264946183602044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398784445","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":[0.0000094549005,0.00038297987,0.9966993,0.00000788099,0.00043530462,0.00061455637,0.00050585886,0.0007383644,0.000606334],"genre_scores_gemma":[0.86117816,0.0000017483729,0.13719662,0.000016125494,0.00013702955,0.00016210171,0.0011402443,0.000078229416,0.00008977323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989048,0.0000093686385,0.00043307673,0.0001885901,0.00019523384,0.00026893502],"domain_scores_gemma":[0.9994843,0.0000852283,0.00006201034,0.000075387194,0.00020774276,0.00008533513],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00008190431,0.00021646662,0.00018167686,0.00016706772,0.000087583896,0.001134216,0.0000778804,0.000115545074,0.000019865733],"category_scores_gemma":[0.00004237666,0.00021498135,0.00004497691,0.00022321855,0.000027979402,0.0029287692,0.000012518317,0.00010920024,0.000030280788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064755827,0.0000097501015,0.0000043042487,0.00050827325,0.000014019161,0.0000029968073,0.00010172091,0.7831029,0.000019918905,0.00009465485,0.00014283987,0.21599211],"study_design_scores_gemma":[0.00040451813,0.000041641455,0.0000028390823,0.00032951345,0.000016714728,0.000005391795,0.00013612991,0.9959187,0.00011728871,0.000017659399,0.0027445988,0.00026498505],"about_ca_topic_score_codex":0.000005026212,"about_ca_topic_score_gemma":4.5156617e-7,"teacher_disagreement_score":0.8611687,"about_ca_system_score_codex":0.00017779146,"about_ca_system_score_gemma":0.00007626274,"threshold_uncertainty_score":0.9999027},"labels":[],"label_agreement":null},{"id":"W4399378049","doi":"10.1109/tmlcn.2024.3410211","title":"Decentralized Aggregation for Energy-Efficient Federated Learning in mmWave Aerial-Terrestrial Integrated Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Machine Learning in Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; Université Laval; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Federated learning; Remote sensing; Environmental science; Distributed computing; Geology","score_opus":0.018021687606694512,"score_gpt":0.2585530704253233,"score_spread":0.24053138281862876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399378049","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":[0.0058886153,0.0060222005,0.9859082,0.000098251505,0.00089753023,0.00042054467,0.0000052341943,0.0006353686,0.00012402129],"genre_scores_gemma":[0.98667705,0.008789046,0.0038676392,0.000012203302,0.00009391816,0.000261136,0.00013672053,0.00008292344,0.000079340316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983898,0.0003377199,0.0005557001,0.00028821174,0.00008500885,0.0003435728],"domain_scores_gemma":[0.9988659,0.00075983966,0.00006838635,0.00021781813,0.000031471744,0.00005659692],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004831727,0.00025015097,0.00028350536,0.00042200502,0.000401862,0.00020587056,0.0001628523,0.00018070354,0.000008250564],"category_scores_gemma":[0.00001530364,0.00027415453,0.00007072585,0.00094246725,0.000047269372,0.00014194018,0.000005609626,0.0010291389,0.0000012182845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060222363,0.000030690142,0.000065215274,0.000021717966,0.000027111619,0.0000015677541,0.0002669282,0.8230521,0.00020094095,0.00006138359,0.000005931791,0.17620617],"study_design_scores_gemma":[0.0009317284,0.000059824677,0.000012655569,0.0007376827,0.00002405188,0.000007048833,0.000092668866,0.98872066,0.000087421206,0.00003428259,0.009045634,0.00024635886],"about_ca_topic_score_codex":0.0002556835,"about_ca_topic_score_gemma":0.0018722273,"teacher_disagreement_score":0.9820406,"about_ca_system_score_codex":0.00025855712,"about_ca_system_score_gemma":0.00003435241,"threshold_uncertainty_score":0.9999711},"labels":[],"label_agreement":null},{"id":"W4399486976","doi":"10.1109/tcomm.2024.3411769","title":"Robust Security Energy Efficiency Optimization for RIS-Aided Cell-Free Networks With Multiple Eavesdroppers","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Université Laval","funders":"National Mobile Communications Research Laboratory, Southeast University; National Natural Science Foundation of China","keywords":"Computer science; Efficient energy use; Energy (signal processing); Electronic engineering; Computer network; Engineering; Electrical engineering","score_opus":0.015550724406221848,"score_gpt":0.2173430108017894,"score_spread":0.20179228639556754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399486976","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":[0.00006242382,0.0012391286,0.99449253,0.00018050773,0.00053177273,0.00056482374,0.00014278677,0.0011655197,0.0016205308],"genre_scores_gemma":[0.87980646,0.0012318046,0.11777531,0.000022177897,0.00004121323,0.0006753775,0.000110842804,0.000114523944,0.00022228957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988892,0.000064001986,0.00035148667,0.00028309698,0.00012558057,0.000286597],"domain_scores_gemma":[0.99768186,0.0004818423,0.00004464492,0.001571617,0.00012660338,0.00009343968],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011815094,0.00025299843,0.00019475746,0.00024828594,0.00046419987,0.00010610675,0.0006077146,0.00014908859,0.000026344249],"category_scores_gemma":[0.000007846548,0.00025921146,0.000110572706,0.000729616,0.00009571839,0.00035433646,0.0000049814107,0.00033037612,0.00000637702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015964144,0.000105832514,0.0000010877405,0.00006795875,0.000055530145,4.7844804e-7,0.0002922455,0.99730736,0.00012833142,0.0002700768,0.00049223925,0.0012628771],"study_design_scores_gemma":[0.0005769887,0.00007292296,6.511597e-7,0.00012459316,0.00008487604,0.0000069606326,0.00015965095,0.9955139,0.0016284395,0.000055906992,0.0014882355,0.0002868363],"about_ca_topic_score_codex":0.000051860563,"about_ca_topic_score_gemma":0.00050344516,"teacher_disagreement_score":0.87974405,"about_ca_system_score_codex":0.00021588302,"about_ca_system_score_gemma":0.00004517487,"threshold_uncertainty_score":0.999986},"labels":[],"label_agreement":null},{"id":"W4399526409","doi":"10.1109/tsp.2024.3412071","title":"Active Sensing for Reciprocal MIMO Channels","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Reciprocal; Telecommunications; Channel (broadcasting)","score_opus":0.019427193547916468,"score_gpt":0.2602003531930883,"score_spread":0.24077315964517185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399526409","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":[0.00059846113,0.00040918746,0.99580663,0.000044713808,0.0010527646,0.00038453026,0.000027731936,0.0011103554,0.0005656095],"genre_scores_gemma":[0.9832701,0.000014586191,0.015880076,0.000025259065,0.00025189726,0.00006963903,0.000005184066,0.0001088941,0.00037436667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905276,0.000013758868,0.00024216772,0.00028740775,0.00012326968,0.0002806337],"domain_scores_gemma":[0.99962276,0.00011628259,0.000022018801,0.00008730601,0.00008347946,0.00006814048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009409305,0.00020736028,0.00017533213,0.00022156823,0.00020727635,0.00014608004,0.00005930261,0.00011966017,0.000019023571],"category_scores_gemma":[0.000002251625,0.00021611704,0.00009339102,0.00038129126,0.000027818696,0.00056419254,3.3949001e-7,0.00025720696,0.000026146581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025613823,0.0000084064795,1.33022615e-8,0.0003397364,0.000028998384,0.0000035475439,0.000505519,0.61998147,0.012673001,0.000010012782,0.000041806295,0.36638188],"study_design_scores_gemma":[0.00016277036,0.000042323732,7.634494e-8,0.00052744895,0.000038550323,0.000023990604,0.00017033005,0.81389076,0.18359396,0.0002597593,0.0010787947,0.00021121277],"about_ca_topic_score_codex":0.000001731007,"about_ca_topic_score_gemma":0.0000033638835,"teacher_disagreement_score":0.9826716,"about_ca_system_score_codex":0.00018981585,"about_ca_system_score_gemma":0.000047281417,"threshold_uncertainty_score":0.88129973},"labels":[],"label_agreement":null},{"id":"W4399757142","doi":"10.5539/nct.v9n1p35","title":"External Interferences Detection by Examples in LTE Networks for 4G and 5G Networks Efficient Deployments","year":2024,"lang":"en","type":"article","venue":"Network and Communication Technologies","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer network; Computer science; LTE Advanced; Telecommunications link","score_opus":0.00984700666822771,"score_gpt":0.22725349630178412,"score_spread":0.2174064896335564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399757142","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":[0.026858719,0.1084679,0.86284137,0.000054749442,0.00018337632,0.00033358403,0.0000021418143,0.0011949979,0.00006315984],"genre_scores_gemma":[0.9717408,0.022889817,0.0050093583,0.0000060028383,0.000028124203,0.00027230452,0.000015091325,0.000025299141,0.000013221272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992745,0.000030820916,0.0002518316,0.00018725559,0.00004137337,0.00021423127],"domain_scores_gemma":[0.99939996,0.00025374224,0.000039546296,0.00027100818,0.000018974322,0.00001677261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001984603,0.00014432444,0.00015157838,0.00009495621,0.00011638701,0.00011319613,0.00019200063,0.00017668317,7.608725e-7],"category_scores_gemma":[0.000022685057,0.00013978325,0.000015594265,0.00027246552,0.00008964492,0.00012436576,0.00010171467,0.00024551,3.3727787e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008369592,0.0000052766754,0.0004195654,0.000041316714,0.000013590025,1.8627482e-7,0.00006070328,0.7198463,0.0001664081,0.0006690388,0.00019703462,0.2785722],"study_design_scores_gemma":[0.00014872996,0.000041882,0.00014652529,0.0003695067,0.000009838789,0.00000427365,0.00028946414,0.9954441,0.0003831764,0.0018747802,0.0011433341,0.00014436644],"about_ca_topic_score_codex":0.000015222424,"about_ca_topic_score_gemma":0.00016330695,"teacher_disagreement_score":0.94488204,"about_ca_system_score_codex":0.00005191588,"about_ca_system_score_gemma":0.0000027202175,"threshold_uncertainty_score":0.57001954},"labels":[],"label_agreement":null},{"id":"W4399855198","doi":"10.18280/isi.290315","title":"A Comprehensive Survey on Challenges and Issues in V2X and V2V Communication in 6G Future Generation Communication Models","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; Psychology","score_opus":0.035765719842569425,"score_gpt":0.2554699604936335,"score_spread":0.2197042406510641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399855198","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":[0.7763133,0.17706226,0.03912104,0.0004914089,0.00056950294,0.0016527917,0.00007536466,0.00076016237,0.003954155],"genre_scores_gemma":[0.9518576,0.04484975,0.0025992964,0.000023715102,0.000042283493,0.000096365315,0.00050178054,0.00002369293,0.000005516987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988892,0.00020072753,0.00051547476,0.00012840948,0.00011099625,0.00015516333],"domain_scores_gemma":[0.9993343,0.00014713839,0.00007113331,0.0003047915,0.00010886592,0.0000337805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047390698,0.00018478095,0.00022003312,0.00044020102,0.000078971534,0.00018081986,0.00010140377,0.00016287841,0.0000014975436],"category_scores_gemma":[0.000041141022,0.00019960568,0.000013616234,0.00028960768,0.000058670037,0.00316872,0.00004698416,0.0002268683,0.000006236842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003576675,0.000020785892,0.0004673433,0.0015760121,0.000040683368,0.0000014770935,0.061495166,0.7618331,0.00024652792,0.016433204,0.00034084724,0.1575091],"study_design_scores_gemma":[0.00036287424,0.00003528481,0.018908657,0.0008352748,0.0000048787756,0.0000103283965,0.0027169676,0.9729446,0.00012322277,0.00285477,0.0009562555,0.00024689353],"about_ca_topic_score_codex":0.00024804514,"about_ca_topic_score_gemma":0.0013412244,"teacher_disagreement_score":0.21111152,"about_ca_system_score_codex":0.0002643252,"about_ca_system_score_gemma":0.000013757587,"threshold_uncertainty_score":0.81396836},"labels":[],"label_agreement":null},{"id":"W4400077136","doi":"10.1109/tmlcn.2024.3419728","title":"Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Machine Learning in Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Transmitter; Beamforming; Computer science; MIMO; Efficient energy use; Channel state information; Energy consumption; Transmitter power output; Spectral efficiency; Electronic engineering; Throughput; Antenna (radio); Energy (signal processing); Computer engineering; Channel (broadcasting); Wireless; Telecommunications; Engineering; Mathematics; Electrical engineering","score_opus":0.01455823951534315,"score_gpt":0.24839175452121456,"score_spread":0.2338335150058714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400077136","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":[0.0010783698,0.0051789763,0.9911364,0.00031757235,0.00045356416,0.00029430303,0.000012183684,0.0006272918,0.0009013683],"genre_scores_gemma":[0.9845973,0.003848787,0.010641667,0.000028136987,0.00007562952,0.00034727776,0.000052808915,0.000083911786,0.00032446528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887085,0.00011562097,0.0003954253,0.00024926933,0.00008558632,0.00028325248],"domain_scores_gemma":[0.9988007,0.0007550491,0.00004242242,0.00030700065,0.000038360555,0.000056467816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027255432,0.00021686136,0.00020667224,0.0003543955,0.0006201694,0.00013002404,0.00017812935,0.000112251386,0.000013163112],"category_scores_gemma":[0.0000042695106,0.00023680278,0.000089215966,0.00048384702,0.000058948663,0.0001599012,0.0000033811846,0.00081104215,0.000003396595],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068700297,0.000019565307,0.00001695805,0.000056966088,0.00003691567,8.579984e-7,0.0009010591,0.8633236,0.00061607856,0.00036285346,0.0000069178104,0.13465133],"study_design_scores_gemma":[0.0002733611,0.00006377685,0.0000038256358,0.0003943216,0.00003750929,0.000009644962,0.00021585569,0.9613797,0.00023790529,0.00007247421,0.03708153,0.00023006133],"about_ca_topic_score_codex":0.00004036169,"about_ca_topic_score_gemma":0.0001822277,"teacher_disagreement_score":0.98351896,"about_ca_system_score_codex":0.0001177455,"about_ca_system_score_gemma":0.000019777097,"threshold_uncertainty_score":0.9656537},"labels":[],"label_agreement":null},{"id":"W4400237588","doi":"10.1109/noms59830.2024.10575687","title":"Evaluating Open-Source 5G SA Testbeds: Unveiling Performance Disparities in RAN Scenarios","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rogers Communications (Canada); University of Waterloo","funders":"","keywords":"Ran; Open source; Computer science; C-RAN; Telecommunications; Computer network; Operating system; Radio access network","score_opus":0.030334255915300385,"score_gpt":0.2981192404499994,"score_spread":0.267784984534699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400237588","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":[0.5235515,0.003676409,0.42606825,0.000099654,0.0011099047,0.0011731676,0.000004901615,0.002202694,0.04211347],"genre_scores_gemma":[0.9809232,0.00009747511,0.016406547,0.00002815301,0.00008938905,0.00008223526,0.000009537066,0.000072079005,0.0022913788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989771,0.000025714442,0.00034865655,0.00023358739,0.00013161826,0.00028329124],"domain_scores_gemma":[0.9995722,0.00013903514,0.000016998003,0.00020003365,0.000028894765,0.000042837783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042352776,0.00016569372,0.00018915861,0.00011609413,0.000062488885,0.00026315227,0.00020913444,0.000065713204,0.00007125825],"category_scores_gemma":[0.00008120697,0.0001620953,0.000023949826,0.00040996438,0.000016984646,0.0009457542,0.0000656784,0.00021453266,0.000073092575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032041503,0.0000046172004,0.0019550167,0.00036668355,0.000009387953,0.0000033297424,0.00055655325,0.98063433,0.0016577877,0.00024101473,0.00009885592,0.0144692],"study_design_scores_gemma":[0.0002628654,0.000021661686,0.00027794327,0.0006679706,0.0000060690204,0.000010385015,0.00022792762,0.99593157,0.0016596469,0.000049389742,0.0006676355,0.00021691668],"about_ca_topic_score_codex":0.00011959061,"about_ca_topic_score_gemma":0.000105463296,"teacher_disagreement_score":0.45737165,"about_ca_system_score_codex":0.00017530935,"about_ca_system_score_gemma":0.00003082208,"threshold_uncertainty_score":0.66100544},"labels":[],"label_agreement":null},{"id":"W4400276150","doi":"10.1109/wcnc57260.2024.10570866","title":"User Association Optimization for IRS-Aided Terahertz Networks: A Matching Theory Approach","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Terahertz radiation; Matching (statistics); Association (psychology); Mathematics; Optoelectronics; Physics; Statistics","score_opus":0.006323491717049748,"score_gpt":0.21463250401016046,"score_spread":0.20830901229311072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400276150","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":[0.00012454792,0.0005796369,0.9889204,0.000024353321,0.00078327185,0.00056915113,0.000006654498,0.0015078433,0.007484137],"genre_scores_gemma":[0.37554187,0.00011499262,0.61346,0.00008740951,0.00074233476,0.00046598533,0.00041351948,0.00017301049,0.009000898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915373,0.00003689044,0.00026401196,0.00021051899,0.00009547351,0.00023939692],"domain_scores_gemma":[0.99947697,0.00026108738,0.000034265413,0.00013704653,0.00005466281,0.000035973007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042573502,0.00015545993,0.00015142625,0.000097535565,0.00006171683,0.00017104043,0.00007418606,0.00014655606,0.000051142644],"category_scores_gemma":[0.000055061988,0.00014879723,0.00006796959,0.0002409766,0.0000041612752,0.0005238131,0.000012868953,0.00011056477,0.0000065218705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048315937,0.0000061867377,0.000013556238,0.00014883395,0.000068971494,2.9501172e-7,0.0002602903,0.9845613,0.000082312916,0.009561872,0.0020708358,0.003220715],"study_design_scores_gemma":[0.00017270875,0.0000073731626,0.0000034031893,0.00005610613,0.000029938254,0.0000020884559,0.00013038692,0.996287,0.000082855644,0.0010468953,0.0020031857,0.00017804402],"about_ca_topic_score_codex":0.0000024087872,"about_ca_topic_score_gemma":0.0000018869349,"teacher_disagreement_score":0.37546042,"about_ca_system_score_codex":0.00037017846,"about_ca_system_score_gemma":0.0000104482115,"threshold_uncertainty_score":0.6067775},"labels":[],"label_agreement":null},{"id":"W4400276648","doi":"10.1109/wcnc57260.2024.10570638","title":"A BFF-Based Attention Mechanism for Trajectory Estimation in mmWave MIMO Communications","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Qatar National Research Fund","keywords":"Trajectory; MIMO; Computer science; Mechanism (biology); Estimation; Computer network; Engineering; Physics; Channel (broadcasting); Systems engineering","score_opus":0.020724949786648333,"score_gpt":0.26940503531108023,"score_spread":0.2486800855244319,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400276648","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":[0.0012219873,0.0002235155,0.9954629,0.000149591,0.00026233916,0.00054613035,0.000013383291,0.0006810712,0.00143911],"genre_scores_gemma":[0.7874292,0.000015653248,0.2118958,0.00001744164,0.000014088549,0.0003086844,0.00013038186,0.000033314325,0.00015540869],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994824,0.000017148062,0.00021999699,0.000115341245,0.00005021513,0.00011489179],"domain_scores_gemma":[0.9995535,0.00010825607,0.000013638823,0.00026623913,0.00003698076,0.000021388909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011993605,0.0000896335,0.00008904103,0.00018927411,0.000032487027,0.000034548208,0.00009203944,0.0000641545,0.000012811495],"category_scores_gemma":[0.000026216738,0.00009740839,0.000042905467,0.00021656284,0.000009592621,0.00021260261,0.000007879644,0.000074279946,0.000024485036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003412198,0.000022445003,0.0000104303,0.00039945342,0.000017726265,7.8134394e-7,0.00017600595,0.8909246,0.013949174,0.08880625,0.00031096704,0.0053787557],"study_design_scores_gemma":[0.00021365123,0.000012813933,0.00002428967,0.00012469183,0.000010509201,0.0000010810925,0.000054650827,0.9934337,0.002227194,0.003606378,0.0001869015,0.00010413843],"about_ca_topic_score_codex":0.000013024253,"about_ca_topic_score_gemma":0.00016968552,"teacher_disagreement_score":0.78620726,"about_ca_system_score_codex":0.00016469952,"about_ca_system_score_gemma":0.000017915521,"threshold_uncertainty_score":0.3972199},"labels":[],"label_agreement":null},{"id":"W4400350897","doi":"10.1109/smartnets61466.2024.10577702","title":"Deep Learning-Based Throughput Prediction in 5G Cellular Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Throughput; Computer science; Deep learning; Artificial intelligence; Cellular network; Computer network; Computer architecture; Machine learning; Telecommunications; Wireless","score_opus":0.004705279857901349,"score_gpt":0.19318976062608292,"score_spread":0.18848448076818158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400350897","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":[0.00078112993,0.0020470154,0.9870354,0.000012770125,0.0007239441,0.0001433475,4.5982466e-7,0.001401838,0.0078541115],"genre_scores_gemma":[0.99623936,0.000042875832,0.002743192,0.000008736714,0.00015540398,0.000028462724,0.000038829585,0.000046501027,0.0006966351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994393,0.000018868186,0.00017625616,0.00014497165,0.000060670794,0.00015990893],"domain_scores_gemma":[0.9998212,0.000037660517,0.000007735527,0.000095426454,0.000011833621,0.000026145242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000898779,0.00009835625,0.0000882629,0.000095284355,0.000019496472,0.00003457969,0.000040040155,0.00009195714,0.00012320436],"category_scores_gemma":[0.000009856543,0.00009995307,0.000026735943,0.00031258352,0.0000075766807,0.00017655472,0.0000047108606,0.00020856831,0.00006959963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012647225,0.0000032372593,0.0002623865,0.00006152634,0.000006136907,0.000008774197,0.000066823304,0.9964139,0.0003088579,0.00015996271,0.00022314927,0.0024840035],"study_design_scores_gemma":[0.00011624909,0.0000140629245,0.000057959536,0.000072412506,0.0000045676784,0.000001191722,0.00003204229,0.99589413,0.000761062,0.000030267065,0.002924505,0.0000915677],"about_ca_topic_score_codex":0.000014153343,"about_ca_topic_score_gemma":0.00004170497,"teacher_disagreement_score":0.99545825,"about_ca_system_score_codex":0.00011779539,"about_ca_system_score_gemma":0.0000058742557,"threshold_uncertainty_score":0.40759677},"labels":[],"label_agreement":null},{"id":"W4400579171","doi":"10.1109/access.2024.3427124","title":"Power Control of 5G-Connected Vehicular Network Using PPO-Based Deep Reinforcement Learning Algorithm","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Science and Engineering Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Power control; Telecommunications link; Transmitter power output; Power (physics); Interference (communication); Algorithm; Channel (broadcasting); Real-time computing; Computer network; Artificial intelligence; Transmitter","score_opus":0.010120324789672076,"score_gpt":0.25264146091514617,"score_spread":0.2425211361254741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400579171","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":[0.007072903,0.0014410114,0.98902065,0.0000053550757,0.0012713604,0.00031727896,0.0000032081457,0.00047915924,0.00038909385],"genre_scores_gemma":[0.99375933,0.000013179547,0.0058585913,0.000027030495,0.00020873324,0.00001740218,0.000020142339,0.000071196475,0.000024402945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893564,0.000040288916,0.00037684053,0.00018974968,0.0001664345,0.0002910427],"domain_scores_gemma":[0.9994837,0.000105197425,0.00006846336,0.00019183056,0.00009668704,0.00005413391],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016572392,0.00017900603,0.00025167578,0.00012156654,0.000058546284,0.000092565395,0.00016775368,0.00009772028,0.00007473555],"category_scores_gemma":[0.00002527634,0.00018597629,0.00007375653,0.00046575867,0.000019331872,0.000398769,0.00001257408,0.00018987435,0.000009612468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064889023,0.0000037246436,0.00010037065,0.00014181882,0.00008663311,0.00001790842,0.000075591444,0.99430317,0.0037725782,0.00003594032,0.000050710732,0.001405044],"study_design_scores_gemma":[0.00043836085,0.000024350546,0.000015343725,0.00027279294,0.00004089708,0.0000035862297,0.00001498085,0.99099207,0.0074358364,0.000032873497,0.00053480326,0.00019410109],"about_ca_topic_score_codex":0.000019470961,"about_ca_topic_score_gemma":0.0000024530973,"teacher_disagreement_score":0.9866864,"about_ca_system_score_codex":0.00012817643,"about_ca_system_score_gemma":0.000028736462,"threshold_uncertainty_score":0.75838923},"labels":[],"label_agreement":null},{"id":"W4400695494","doi":"10.1049/ntw2.12130","title":"Guest Editorial: Unfolding the potential of 5G technologies for future wireless networks","year":2024,"lang":"en","type":"editorial","venue":"IET Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Wireless; Computer science; Wireless network; Telecommunications","score_opus":0.0029300684873755723,"score_gpt":0.21262096360178265,"score_spread":0.20969089511440708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400695494","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.5336657e-7,0.010070859,0.33412635,0.000026326345,0.6537581,0.00065293064,0.00011247673,0.0011921558,0.0000598118],"genre_scores_gemma":[0.005666338,0.0045796256,0.00050027156,0.0000019361687,0.9876793,0.00036689304,0.0007352238,0.0003311501,0.00013928421],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99757767,0.000038974184,0.00077423936,0.00050289795,0.00046692256,0.0006392706],"domain_scores_gemma":[0.9978624,0.0006707609,0.00029696192,0.00075773714,0.0003678586,0.00004426061],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00045888976,0.0006147411,0.0007884102,0.00014665847,0.00014677898,0.00015642871,0.0008451255,0.003463188,0.0000017738693],"category_scores_gemma":[0.00013003354,0.0004952688,0.0003048986,0.00054122065,0.000113731934,0.00015891498,0.00013871447,0.0020875582,0.0000033706922],"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":[0.000017197644,0.0000033233564,1.5953106e-7,0.0002462223,0.00011642256,0.0000021013936,0.000019761788,0.48815575,0.0000075770963,0.000040657218,0.51027936,0.0011114425],"study_design_scores_gemma":[0.00020665936,0.000032253774,4.835271e-8,0.00049529003,0.00016375165,0.0000013385823,0.00014015289,0.3761848,0.000021831807,0.000107902895,0.62231874,0.00032720334],"about_ca_topic_score_codex":0.000008266328,"about_ca_topic_score_gemma":0.000027932629,"teacher_disagreement_score":0.33392116,"about_ca_system_score_codex":0.00019908002,"about_ca_system_score_gemma":0.00006406677,"threshold_uncertainty_score":0.9997499},"labels":[],"label_agreement":null},{"id":"W4400727218","doi":"10.1109/iwcmc61514.2024.10592464","title":"Deep Reinforcement Learning for Sleep Control in 5G and Beyond Radio Access Networks: An Overview","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Reinforcement learning; Computer science; Access control; Artificial intelligence; Computer network","score_opus":0.015346185011639106,"score_gpt":0.27183094009396885,"score_spread":0.25648475508232976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400727218","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":[0.000268823,0.0124670435,0.98473907,0.000021976593,0.00027399338,0.0005316618,3.5820565e-7,0.00031148526,0.0013855755],"genre_scores_gemma":[0.9962943,0.0008772055,0.002254239,0.0000619449,0.00011543025,0.00014119512,0.000025082854,0.000044374243,0.00018618949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993532,0.000015781949,0.00022711512,0.00016036358,0.000048346777,0.00019523331],"domain_scores_gemma":[0.9997427,0.0000828902,0.000015502379,0.00009217255,0.000017001532,0.00004972755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015899232,0.000117570286,0.00016340008,0.00008750749,0.000030630883,0.0001227848,0.00006705283,0.000058175152,0.00003266128],"category_scores_gemma":[0.000014168595,0.00011404883,0.00002256267,0.00015179622,0.000006950264,0.0006316322,0.0000118111175,0.00010188586,0.000001899177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000059680096,0.0000017789625,0.00012904148,0.0002179958,0.000021174235,0.000001952192,0.00013399868,0.982841,0.000041539803,0.0023076173,0.00005767959,0.014240235],"study_design_scores_gemma":[0.0004956964,0.000034510893,0.00005135748,0.00007316095,0.000013474911,0.000003112651,0.00005617706,0.99718297,0.000027563083,0.000105961895,0.0018202616,0.00013576067],"about_ca_topic_score_codex":0.000014325471,"about_ca_topic_score_gemma":0.00009224317,"teacher_disagreement_score":0.9960255,"about_ca_system_score_codex":0.000077975055,"about_ca_system_score_gemma":0.0000042387646,"threshold_uncertainty_score":0.46507764},"labels":[],"label_agreement":null},{"id":"W4400874577","doi":"10.31224/3825","title":"Innovative Approaches to Interference Protection in Next-Gen Wireless Networks","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Interference (communication); Wireless; Wireless network; Computer science; Computer network; Telecommunications; Computer security; Channel (broadcasting)","score_opus":0.09049032892501815,"score_gpt":0.24215302785051268,"score_spread":0.15166269892549453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400874577","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":[0.00876698,0.00026717756,0.97968906,0.00007276332,0.001260869,0.0017494772,0.0000055639684,0.00080365926,0.007384459],"genre_scores_gemma":[0.9883549,0.000023972605,0.009607621,0.000012291472,0.0002057677,0.0012909462,0.000041033032,0.00009291115,0.0003705125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987015,0.000033386797,0.00045439295,0.0004762102,0.000084300125,0.0002501746],"domain_scores_gemma":[0.9995073,0.000015731992,0.000048116613,0.00031903453,0.000063712265,0.000046094487],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016997085,0.00032433975,0.00033357248,0.00041640468,0.000014246184,0.0001227871,0.00021088196,0.00036140127,0.00001292791],"category_scores_gemma":[0.00001923415,0.0003299002,0.00003301726,0.00096605055,0.000013312334,0.00010908099,0.00051466055,0.0010971706,0.000047136054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000745144,0.0000072458097,0.00001569274,0.00048578688,0.00003215078,0.0000025259296,0.00077702384,0.971342,0.00021942807,0.0011748017,0.00009638294,0.025839487],"study_design_scores_gemma":[0.00005928307,0.000016245081,0.000028086368,0.0008734872,0.000004977105,0.0000021107703,0.00022211765,0.99606866,0.0010607984,0.00126514,0.00005037561,0.00034871983],"about_ca_topic_score_codex":0.00009612309,"about_ca_topic_score_gemma":0.0002488967,"teacher_disagreement_score":0.979588,"about_ca_system_score_codex":0.00046290806,"about_ca_system_score_gemma":0.000033196935,"threshold_uncertainty_score":0.9999153},"labels":[],"label_agreement":null},{"id":"W4400878026","doi":"10.1109/lwc.2024.3432391","title":"Simplex Transformation-Based Deep Unsupervised Learning for Optimization: Power Control With QoS Constraints in Multi-User Interference Channel","year":2024,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Thompson Rivers University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Interference (communication); Power control; Quality of service; Channel (broadcasting); Simplex; Transformation (genetics); Artificial intelligence; Power (physics); Mathematical optimization; Computer network; Mathematics","score_opus":0.01925534058184105,"score_gpt":0.24992544689358653,"score_spread":0.23067010631174548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400878026","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":[0.0026565273,0.0002441857,0.9936399,0.0013327416,0.00021948095,0.0011417277,0.00004834618,0.0005909088,0.00012622015],"genre_scores_gemma":[0.95784426,0.000053401833,0.040888734,0.00026138395,0.000021117703,0.0005921224,0.0002389746,0.000089747955,0.000010241377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987701,0.00010725984,0.00048429333,0.0002279911,0.000106371204,0.00030399393],"domain_scores_gemma":[0.99873435,0.00043922794,0.000055302484,0.0005924837,0.00011562035,0.00006302911],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018772506,0.00025587706,0.00026672505,0.0003256549,0.00015777897,0.000120370685,0.00046897185,0.000099064164,0.000021263666],"category_scores_gemma":[0.000020031883,0.00026497754,0.00006642582,0.00047820417,0.00017292409,0.00050339504,0.000011506055,0.00036702384,0.000009351252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022251386,0.000030588446,0.00005138383,0.00015978594,0.00005348302,0.0000017850126,0.0019684078,0.99375665,0.0025327995,0.00024790436,0.000033743163,0.0011412008],"study_design_scores_gemma":[0.0017893118,0.00002861764,0.000015727843,0.00040358293,0.000024830353,0.0000047080166,0.0005586381,0.995923,0.00050618756,0.0000021363142,0.0004372163,0.0003060333],"about_ca_topic_score_codex":0.000011365217,"about_ca_topic_score_gemma":0.00012158066,"teacher_disagreement_score":0.95518774,"about_ca_system_score_codex":0.00020015646,"about_ca_system_score_gemma":0.000046581896,"threshold_uncertainty_score":0.9999803},"labels":[],"label_agreement":null},{"id":"W4400878305","doi":"10.1109/tgcn.2024.3431989","title":"Renewable Energy Powered and Open RAN-Based Architecture for 5G Fixed Wireless Access Provisioning in Rural Areas","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Provisioning; Renewable energy; Wireless; Computer network; Computer science; Telecommunications; Architecture; Radio access network; Electrical engineering; Engineering; Geography; Base station","score_opus":0.02481509389172043,"score_gpt":0.27884233217942245,"score_spread":0.254027238287702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400878305","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":[0.00095979654,0.0040429863,0.99315566,0.00027789795,0.00022043986,0.0005537575,0.00002321567,0.0001929091,0.0005733134],"genre_scores_gemma":[0.99140286,0.0015830499,0.0062400047,0.00004787042,0.00003939218,0.00045702117,0.000035743637,0.000055895653,0.000138129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919325,0.000065285865,0.00027622163,0.00020247439,0.000057350808,0.00020543417],"domain_scores_gemma":[0.9989195,0.00047805754,0.00003431629,0.00048100564,0.000029483972,0.00005763619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017116645,0.00017155334,0.00021103915,0.00022199276,0.00027943033,0.00030713103,0.00042437387,0.00009360765,0.000003269131],"category_scores_gemma":[6.766656e-7,0.0001772406,0.000038527487,0.00042316876,0.00005002454,0.00032705735,0.000009801462,0.00021876271,2.1995015e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036386853,0.00002175825,0.000025630936,0.00009927723,0.000033771037,7.4689393e-7,0.00029674356,0.60770005,0.00030673158,0.000029743827,0.000044165277,0.39140502],"study_design_scores_gemma":[0.00055643485,0.000035840425,0.000006364833,0.00092616124,0.00002449255,0.0000062776994,0.00007990588,0.99298507,0.0005682726,0.0003824166,0.0042269505,0.00020181088],"about_ca_topic_score_codex":0.0016335625,"about_ca_topic_score_gemma":0.009237098,"teacher_disagreement_score":0.9904431,"about_ca_system_score_codex":0.000067970825,"about_ca_system_score_gemma":0.000030329327,"threshold_uncertainty_score":0.72276616},"labels":[],"label_agreement":null},{"id":"W4401211277","doi":"10.1109/tnsm.2024.3437217","title":"Generalizable 5G RAN/MEC Slicing and Admission Control for Reliable Network Operation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rogers Communications (Canada); University of Waterloo","funders":"","keywords":"Computer science; Ran; Slicing; Computer network; Admission control; Radio access network; Quality of service; World Wide Web; Base station","score_opus":0.007678012404077505,"score_gpt":0.21153311780919276,"score_spread":0.20385510540511526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401211277","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":[0.0005250157,0.0017349179,0.9936953,0.00027841475,0.0012757295,0.00093328353,0.000008066974,0.00039057704,0.0011586861],"genre_scores_gemma":[0.9545997,0.006169574,0.03490821,0.0010714817,0.00070293556,0.00063993066,0.000033963544,0.00013414871,0.0017400774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907976,0.000020201225,0.00024382719,0.0002806987,0.000082290695,0.0002932041],"domain_scores_gemma":[0.999661,0.000058787722,0.000017606822,0.00015327772,0.000028482888,0.000080798054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019917318,0.000190492,0.00018218788,0.00007244561,0.00029807008,0.00014251859,0.00005089566,0.0000770801,0.000020047433],"category_scores_gemma":[3.0973317e-7,0.00018905259,0.000035236262,0.00028018025,0.000006386596,0.00022647777,0.0000013935371,0.00010302738,0.000006717308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038361737,0.000007747869,0.0000019953077,0.00065418734,0.00011133309,0.000002265841,0.000115585484,0.98394483,0.00008438484,0.0005536551,0.0022962743,0.012189395],"study_design_scores_gemma":[0.0006974088,0.000047138426,0.00000477284,0.00035712714,0.00014170828,0.0000035428411,0.000067412126,0.9703013,0.0000921188,0.00022736662,0.027866116,0.00019403528],"about_ca_topic_score_codex":0.000021163925,"about_ca_topic_score_gemma":0.000095845404,"teacher_disagreement_score":0.9587871,"about_ca_system_score_codex":0.000057154662,"about_ca_system_score_gemma":0.0000057842603,"threshold_uncertainty_score":0.7709341},"labels":[],"label_agreement":null},{"id":"W4401403158","doi":"10.1007/978-3-031-67447-1_20","title":"A Two-Stage AP Selection Approach for Scalable User-Centric Cell-Free Massive MIMO Systems","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in networks and systems","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":"Université du Québec à Montréal; École de Technologie Supérieure","funders":"","keywords":"Computer science; Selection (genetic algorithm); MIMO; Scalability; Stage (stratigraphy); Computer architecture; Telecommunications; Biology; Artificial intelligence; Operating system; Beamforming; Paleontology","score_opus":0.009047800369559728,"score_gpt":0.20388611401253792,"score_spread":0.19483831364297818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401403158","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":[0.0000071593972,0.07348266,0.88998556,0.0000066485222,0.003301423,0.0032761372,0.0001349621,0.0004701542,0.02933532],"genre_scores_gemma":[0.8096482,0.0044371067,0.012575681,0.000042371714,0.010326513,0.0026158346,0.0015199931,0.0018331914,0.15700108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971643,0.000047209473,0.0009760992,0.00085959374,0.00026874957,0.00068402424],"domain_scores_gemma":[0.99853015,0.00033338377,0.00028921512,0.0005560001,0.00014757826,0.00014369724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003698488,0.00084163155,0.0011446329,0.00047690672,0.00012795866,0.00038854658,0.0002765886,0.0012044972,0.0000063128937],"category_scores_gemma":[0.00003106806,0.00080028333,0.0001724873,0.00029652833,0.00003971601,0.000149226,0.000079655016,0.0009360209,0.000006193214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022646138,0.000009299375,0.000019506166,0.005207589,0.00014329569,0.000012886637,0.00007851238,0.9814845,0.000031890424,0.0117202,0.0009862725,0.00028341645],"study_design_scores_gemma":[0.0006968682,0.00006191308,2.1211645e-7,0.0014882379,0.00014124862,0.00004970585,0.000029844672,0.98099524,0.000014016644,0.00056963455,0.01519143,0.0007616579],"about_ca_topic_score_codex":0.0001103122,"about_ca_topic_score_gemma":0.00007859791,"teacher_disagreement_score":0.8774099,"about_ca_system_score_codex":0.0005626657,"about_ca_system_score_gemma":0.0000352934,"threshold_uncertainty_score":0.9994448},"labels":[],"label_agreement":null},{"id":"W4401509184","doi":"10.1109/iccworkshops59551.2024.10615264","title":"Electromagnetically-Consistent Modeling and Optimization of Mutual Coupling in RIS-Assisted Multi-User MIMO Communication Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"MIMO; Computer science; Coupling (piping); Electronic engineering; Computer network; Engineering; Mechanical engineering","score_opus":0.01605572793212838,"score_gpt":0.23945434255881867,"score_spread":0.2233986146266903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401509184","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":[0.035142615,0.0073712543,0.95624727,0.000018849458,0.00011536707,0.00037937597,0.0000036493545,0.00034102536,0.00038056858],"genre_scores_gemma":[0.8743378,0.00060655933,0.12483383,0.0000022119602,0.000011231911,0.000043242795,0.00003133577,0.00004306605,0.00009072713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893916,0.00003146321,0.0005486837,0.00018389833,0.00009863131,0.00019815778],"domain_scores_gemma":[0.9995021,0.00009903725,0.000031779982,0.0002342124,0.00008320249,0.00004967217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026023266,0.00014484733,0.0002235514,0.0002179459,0.000030266498,0.000063254935,0.00008444853,0.00011387931,0.0000083909035],"category_scores_gemma":[0.000039674207,0.00014893079,0.000026754964,0.0003198053,0.000024917848,0.00024157477,0.00003014333,0.00015164232,0.0000025135107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046451646,0.000016998973,0.00006365556,0.00028419076,0.00002155947,0.0000011685102,0.00015215419,0.9926469,0.0040246267,0.0026011926,0.000005429476,0.00017753331],"study_design_scores_gemma":[0.0002588503,0.000021242467,0.000021177157,0.00039084625,0.00002067207,0.0000090684425,0.00029351973,0.99855703,0.00025721718,0.000012692416,0.000011370571,0.00014634023],"about_ca_topic_score_codex":0.00008474968,"about_ca_topic_score_gemma":0.00006721533,"teacher_disagreement_score":0.8391952,"about_ca_system_score_codex":0.00013571235,"about_ca_system_score_gemma":0.000018578108,"threshold_uncertainty_score":0.60732216},"labels":[],"label_agreement":null},{"id":"W4401509280","doi":"10.1109/iccworkshops59551.2024.10615441","title":"On the Characterization of Pareto Boundary for Joint Communication and Sensing in MIMO Wireless Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"MIMO; Joint (building); Pareto principle; Wireless; Computer science; Characterization (materials science); Boundary (topology); Multi-user MIMO; 3G MIMO; Computer network; Telecommunications; Mathematical optimization; Mathematics; Engineering; Channel (broadcasting); Physics","score_opus":0.014981407101323601,"score_gpt":0.22077813073152694,"score_spread":0.20579672363020335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401509280","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":[0.32455644,0.00040588746,0.6737306,0.000117333984,0.00018755638,0.0005327485,0.000011437148,0.00012095428,0.00033704806],"genre_scores_gemma":[0.9989802,0.00009472345,0.00077240024,0.0000086171585,0.000016340986,0.000026110405,0.000040489005,0.000022218414,0.000038880917],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999575,0.000029298031,0.00021500536,0.00007351489,0.000041323707,0.0000658228],"domain_scores_gemma":[0.9996513,0.00013499573,0.000025023386,0.00015089175,0.000028134755,0.000009670909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001910549,0.00006421903,0.00010139346,0.00007054439,0.00003058482,0.00005309303,0.00003151799,0.00003747565,0.0000012408257],"category_scores_gemma":[0.000015905925,0.000049752685,0.0000124228145,0.00011272485,0.000017024648,0.00011972305,0.000009550463,0.000054008015,9.696067e-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":[0.000020402867,0.000019895273,0.00009281441,0.003012963,0.00007245149,0.000001642108,0.0033621662,0.26148966,0.57043236,0.14208543,0.00024033067,0.019169876],"study_design_scores_gemma":[0.00005666554,0.000008674822,0.0001123917,0.00055784994,0.00000400221,0.0000026372966,0.0002153726,0.9920024,0.006486195,0.0003214453,0.00017350004,0.000058852784],"about_ca_topic_score_codex":0.00001945613,"about_ca_topic_score_gemma":0.000023333536,"teacher_disagreement_score":0.73051274,"about_ca_system_score_codex":0.00005135989,"about_ca_system_score_gemma":0.000006805581,"threshold_uncertainty_score":0.20288555},"labels":[],"label_agreement":null},{"id":"W4401567372","doi":"10.1109/jsac.2024.3443759","title":"A Survey of Recent Advances in Optimization Methods for Wireless Communications","year":2024,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; Canada Research Chairs","keywords":"Computer science; Wireless; Telecommunications; Computer network","score_opus":0.06791874814181002,"score_gpt":0.3948826588420869,"score_spread":0.32696391070027686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401567372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00038727518,0.027394831,0.9695236,0.00033325987,0.00042011702,0.00055786053,0.000056432586,0.00014425331,0.0011823326],"genre_scores_gemma":[0.48120174,0.11124775,0.40693703,0.000017695846,0.000028503835,0.00024592687,0.00022984199,0.000077538985,0.0000139758895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977373,0.00087642175,0.0009154022,0.00014448982,0.00010435464,0.00022202983],"domain_scores_gemma":[0.99541646,0.0025950128,0.00016072307,0.0011501897,0.0006190591,0.00005858252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001443953,0.00017046779,0.000325534,0.00069485424,0.0001224282,0.000059467664,0.0009814466,0.00011681504,0.000010684268],"category_scores_gemma":[0.0006232945,0.00018149185,0.00004795643,0.0025139635,0.00007707362,0.00048513338,0.00004146865,0.00067429856,0.0000016683163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020186877,0.000121250225,0.00038572386,0.000062664665,0.000031874682,3.4876368e-7,0.00037961124,0.92349625,0.00058503816,0.00078456843,0.00007510574,0.07405737],"study_design_scores_gemma":[0.00037513222,0.000045773897,0.0006662451,0.00055792223,0.000014233036,0.000014162608,0.000074227486,0.99163294,0.0004831357,0.0003828283,0.005579892,0.00017353104],"about_ca_topic_score_codex":0.000021826614,"about_ca_topic_score_gemma":0.0012818077,"teacher_disagreement_score":0.5625866,"about_ca_system_score_codex":0.00044694115,"about_ca_system_score_gemma":0.00015247884,"threshold_uncertainty_score":0.7401023},"labels":[],"label_agreement":null},{"id":"W4401568083","doi":"10.1109/itc-egypt61547.2024.10620505","title":"Pilot Assignment in Cell-Free Massive MIMO: A Low-Complexity Clusterization Technique","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"MIMO; Computer science; Computer network","score_opus":0.015304246079305108,"score_gpt":0.2311340819976872,"score_spread":0.2158298359183821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401568083","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":[0.00059830735,0.00015385472,0.97678876,0.00006769516,0.00040392473,0.00070695643,0.000012814511,0.0009817661,0.020285912],"genre_scores_gemma":[0.9559921,0.000027001926,0.04291001,0.000020485435,0.000059196027,0.00027317798,0.000033726097,0.000058426052,0.00062585087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991633,0.000027841794,0.00028249781,0.00021615507,0.00011009858,0.00020008654],"domain_scores_gemma":[0.99960834,0.000034988603,0.00001827651,0.00027578592,0.00002001851,0.00004261547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001113496,0.00015805369,0.00013658326,0.00018695378,0.000020636855,0.000052051993,0.00013691855,0.000058045534,0.00012570988],"category_scores_gemma":[0.000016634269,0.00015890108,0.000025729078,0.00036345422,0.00001733454,0.00026012678,0.00005477248,0.00014237715,0.000054479096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006999901,0.000038631897,0.00004240637,0.00062910735,0.000007738007,0.000022280594,0.00016993519,0.8720474,0.1217255,0.0028308548,0.0019827862,0.0004963183],"study_design_scores_gemma":[0.00040598103,0.00006815064,0.000069204834,0.00035357676,0.000007182371,0.000006508108,0.00008178745,0.9110181,0.08437773,0.0027895353,0.00048650094,0.0003357497],"about_ca_topic_score_codex":0.000032491465,"about_ca_topic_score_gemma":0.000086971166,"teacher_disagreement_score":0.9553938,"about_ca_system_score_codex":0.0003409477,"about_ca_system_score_gemma":0.000017708779,"threshold_uncertainty_score":0.6479798},"labels":[],"label_agreement":null},{"id":"W4401609095","doi":"10.23919/ifipnetworking62109.2024.10619877","title":"How Mature is 5G Deployment? A Cross-Sectional, Year-Long Study of 5G Uplink Performance","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"National Science Foundation","keywords":"Telecommunications link; Software deployment; Computer science; Telecommunications; Computer network; Operating system","score_opus":0.013704142740051339,"score_gpt":0.25760208033532095,"score_spread":0.24389793759526962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401609095","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":[0.8948913,0.00069459085,0.09849827,0.000024008608,0.0010085086,0.00048607794,0.000008869718,0.0008635986,0.0035247505],"genre_scores_gemma":[0.9919619,0.000047215668,0.0011750885,0.000007263012,0.000112173446,0.000038114773,0.0000066061716,0.000052876956,0.0065987874],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930817,0.000005880943,0.00019886023,0.00019189541,0.00015064288,0.0001445486],"domain_scores_gemma":[0.99966806,0.000018273082,0.000021294121,0.0002033059,0.000056836034,0.000032248856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070492904,0.00012827622,0.00012578451,0.00010075838,0.00003804552,0.00012844332,0.0000915061,0.00008023696,0.00008912525],"category_scores_gemma":[0.0000062525287,0.00011757418,0.00003733986,0.00027182032,0.0000119189945,0.00041642654,0.000015151312,0.00014855384,0.000043432352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021110885,0.00010499878,0.27143735,0.0011971882,0.0002750691,0.000012941011,0.0017439775,0.7181345,0.0027749506,0.00025374457,0.002567559,0.0014766179],"study_design_scores_gemma":[0.001307274,0.0003199258,0.15730152,0.00026205785,0.00005336512,0.000042375068,0.00092640077,0.81315744,0.022632033,0.000044994824,0.003247451,0.0007051851],"about_ca_topic_score_codex":0.000006485674,"about_ca_topic_score_gemma":0.000012289935,"teacher_disagreement_score":0.114135824,"about_ca_system_score_codex":0.0000711976,"about_ca_system_score_gemma":0.000009486565,"threshold_uncertainty_score":0.47945356},"labels":[],"label_agreement":null},{"id":"W4401609531","doi":"10.1109/icmlcn59089.2024.10624768","title":"SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Swift; Beamforming; MIMO; Adaptation (eye); Generalization; Computer science; Telecommunications; Mathematics; Biology; Neuroscience","score_opus":0.009443552882650117,"score_gpt":0.214349088531464,"score_spread":0.2049055356488139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401609531","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":[0.016708639,0.001460784,0.9789453,0.00002871299,0.000296066,0.00018286017,0.0000038293147,0.00039161995,0.0019821676],"genre_scores_gemma":[0.9710016,0.00028668134,0.028063543,0.000015668578,0.00006936391,0.000028173923,0.00004449555,0.000037583453,0.00045285138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994868,0.000009638262,0.00018521391,0.00013929686,0.00005859049,0.00012043616],"domain_scores_gemma":[0.9998562,0.000023663564,0.000011656508,0.00006652849,0.000014444736,0.000027562237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006318427,0.00009525833,0.000084723375,0.00016282126,0.000020182963,0.00005081509,0.00002515232,0.00003567176,0.000023501438],"category_scores_gemma":[0.000013228443,0.00009794398,0.000012492088,0.0001973558,0.000006906744,0.00046796937,0.000009943238,0.000059659025,0.000012265925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.3409744e-7,0.0000016502505,0.000071449096,0.00010300319,0.0000066167913,0.000007921902,0.0004650153,0.9773283,0.0024147776,0.001843289,0.00007769549,0.017679324],"study_design_scores_gemma":[0.00010884507,0.000006750205,0.000052855823,0.0001060043,0.0000050207427,0.000008406471,0.0001953392,0.9951462,0.0029332999,0.00033494903,0.0009848046,0.000117500116],"about_ca_topic_score_codex":0.000036891164,"about_ca_topic_score_gemma":0.00013105855,"teacher_disagreement_score":0.954293,"about_ca_system_score_codex":0.00008722441,"about_ca_system_score_gemma":0.00000851033,"threshold_uncertainty_score":0.39940396},"labels":[],"label_agreement":null},{"id":"W4401720830","doi":"10.1109/icce62051.2024.10634649","title":"Deep Reinforcement Learning-based Sum-Rate Maximization in Hybrid Beamforming Multi-User Massive MIMO Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Reinforcement learning; Maximization; MIMO; Computer science; Beamforming; Artificial intelligence; Machine learning; Mathematical optimization; Telecommunications; Mathematics","score_opus":0.009193804919128749,"score_gpt":0.2208529088149627,"score_spread":0.21165910389583395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401720830","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":[0.0008799031,0.0006722009,0.9948589,0.0000217155,0.0008123294,0.00063547323,0.0000014986323,0.0010564589,0.0010615293],"genre_scores_gemma":[0.9870861,0.0000599424,0.009371505,0.000016191036,0.000070409646,0.00017088308,0.00014735384,0.00010445199,0.0029731728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986807,0.000046459307,0.00052106177,0.00027281826,0.00014113398,0.00033779079],"domain_scores_gemma":[0.9995528,0.00007641772,0.000050195486,0.00018804264,0.00006447967,0.00006809258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023583343,0.00024024148,0.00022378378,0.0003602223,0.000053432675,0.00013689049,0.00009709752,0.000085022766,0.00006267596],"category_scores_gemma":[0.000055330464,0.00024055045,0.000049057544,0.00039931718,0.0000129337195,0.00048548018,0.000021466847,0.00022509889,0.0001153347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005085103,0.0000066980883,0.00011215591,0.0004580332,0.000022302798,0.000027415403,0.00015378548,0.99726975,0.00084661646,0.00069672003,0.00006207227,0.0003393575],"study_design_scores_gemma":[0.00037641372,0.000023433564,0.000010365344,0.00034581614,0.000012118983,0.0000044700296,0.00026484826,0.9930157,0.003622777,0.000006250144,0.0020394833,0.00027832072],"about_ca_topic_score_codex":0.00007089231,"about_ca_topic_score_gemma":0.000057900314,"teacher_disagreement_score":0.9862062,"about_ca_system_score_codex":0.0004491494,"about_ca_system_score_gemma":0.000028320543,"threshold_uncertainty_score":0.9809362},"labels":[],"label_agreement":null},{"id":"W4401752848","doi":"10.1109/icdcs60910.2024.00090","title":"Towards Integrated Energy-Communication-Transportation Hub: A Base-Station-Centric Design in 5G and Beyond","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Base station; Computer science; Telecommunications; Base (topology); Computer network; Transport engineering; Engineering","score_opus":0.010347105873189712,"score_gpt":0.21993112647686136,"score_spread":0.20958402060367165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401752848","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":[0.0015709754,0.0030909195,0.99195486,0.0000750515,0.000114880786,0.00017947124,0.000013145094,0.00047044334,0.0025302514],"genre_scores_gemma":[0.9394738,0.0007250674,0.05916907,0.000026432917,0.0000114808245,0.00007385308,0.00023426098,0.00003789176,0.00024811513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993081,0.00004366733,0.00028427612,0.00015734785,0.0000775215,0.00012908163],"domain_scores_gemma":[0.99965036,0.00011271447,0.000016676278,0.00013102301,0.00004860662,0.000040647377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013573849,0.00012704494,0.000115577495,0.00027725773,0.00002995078,0.0000636004,0.00006416147,0.000070771785,0.0000666095],"category_scores_gemma":[0.000020688432,0.00012529128,0.000017149934,0.0006856745,0.000015262676,0.000411527,0.000002912497,0.000099699355,0.0000100949255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009526949,0.00002007184,0.00014011218,0.00012805728,0.00003121414,0.000011513238,0.0015446052,0.92018795,0.001525343,0.01253476,0.0007693157,0.063097544],"study_design_scores_gemma":[0.00022894422,0.000012493575,0.0004003794,0.00010435866,0.000012427927,0.0000023804553,0.0003855863,0.9916703,0.004935297,0.0013530379,0.00072441966,0.00017039216],"about_ca_topic_score_codex":0.000273652,"about_ca_topic_score_gemma":0.00053722906,"teacher_disagreement_score":0.93790287,"about_ca_system_score_codex":0.000115068164,"about_ca_system_score_gemma":0.00003555717,"threshold_uncertainty_score":0.51092297},"labels":[],"label_agreement":null},{"id":"W4401809211","doi":"10.1109/iswcs61526.2024.10639110","title":"Spectral Efficiency Analysis of Uplink RSMA-enabled Massive MIMO Systems With Mixed-ADCs","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Telecommunications link; MIMO; Computer science; Spectral efficiency; Electronic engineering; Telecommunications; Engineering; Beamforming","score_opus":0.005544175736871207,"score_gpt":0.2064655725919297,"score_spread":0.2009213968550585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401809211","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":[0.022535432,0.0014458478,0.96294457,0.000012148899,0.0004903564,0.00029728003,0.000012172718,0.0006372527,0.011624951],"genre_scores_gemma":[0.99160266,0.000035797148,0.006801779,0.0000017908652,0.00005565151,0.000029197834,0.000029469003,0.00004737963,0.0013963042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989393,0.000017314776,0.00037392695,0.0002521229,0.00016515767,0.00025218134],"domain_scores_gemma":[0.9994524,0.00007322142,0.00004394958,0.00028647998,0.00008184859,0.000062063584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116612246,0.00018667385,0.0003984623,0.00051593065,0.000026740161,0.000060448154,0.000117089076,0.0000767582,0.000071970164],"category_scores_gemma":[0.000010672361,0.00014519907,0.00010489428,0.0020692893,0.000026208756,0.00017988557,0.000013112479,0.00010466688,0.00002710457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043359555,0.000009892461,0.00019661836,0.00033959668,0.00076340145,0.000016329563,0.00017150487,0.9934084,0.0016281744,0.0031550995,0.00019659595,0.00011005033],"study_design_scores_gemma":[0.00012910026,0.000040907453,0.00008931226,0.00012023515,0.00052814395,0.0000054458433,0.00028755117,0.9954505,0.0030082695,0.000010201427,0.00014265005,0.00018769184],"about_ca_topic_score_codex":0.000057416433,"about_ca_topic_score_gemma":0.000039811566,"teacher_disagreement_score":0.9690672,"about_ca_system_score_codex":0.00012517677,"about_ca_system_score_gemma":0.000025703563,"threshold_uncertainty_score":0.5921046},"labels":[],"label_agreement":null},{"id":"W4401942780","doi":"10.1109/tgcn.2024.3441148","title":"Guest Editorial Special Issue on Green Open Radio Access Networks: Architecture, Challenges, Opportunities, and Use Cases","year":2024,"lang":"en","type":"editorial","venue":"IEEE Transactions on Green Communications and Networking","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":"University of Waterloo","funders":"","keywords":"Architecture; Telecommunications; Computer architecture; Computer science; Geography; Archaeology","score_opus":0.07671442847631499,"score_gpt":0.3012479162583607,"score_spread":0.22453348778204574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401942780","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":[0.0000021149026,0.012777841,0.04880871,0.0004230538,0.9341187,0.0011789849,0.0006799829,0.0004532949,0.0015573367],"genre_scores_gemma":[0.0011587733,0.17257485,0.0005034477,0.00003026549,0.82373285,0.00033360685,0.00044386231,0.0002467005,0.0009756115],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99737793,0.0002913489,0.0007369925,0.0006900219,0.0004099364,0.0004937864],"domain_scores_gemma":[0.9946402,0.0030089484,0.00020072391,0.001744721,0.00016128791,0.00024413575],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00043130846,0.000738179,0.00078177085,0.00044367806,0.00078987883,0.0010054917,0.001482217,0.0009812899,0.00001729795],"category_scores_gemma":[0.000006968093,0.0007976972,0.000119235745,0.00036308463,0.00022378024,0.00071132823,0.00010845853,0.0024268825,0.000007649011],"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":[0.00010284289,0.000063585816,3.4218192e-7,0.00023276015,0.00031494672,0.000022263308,0.00031624347,0.029852308,4.2116136e-7,0.000015915126,0.70838296,0.2606954],"study_design_scores_gemma":[0.0005269782,0.00016954819,3.4167584e-7,0.0014785947,0.00026131104,0.00002418701,0.000047183035,0.04720748,0.0000017417476,0.000063414525,0.94952166,0.0006975892],"about_ca_topic_score_codex":0.002040206,"about_ca_topic_score_gemma":0.008510125,"teacher_disagreement_score":0.2599978,"about_ca_system_score_codex":0.00026518264,"about_ca_system_score_gemma":0.0001083526,"threshold_uncertainty_score":0.99987453},"labels":[],"label_agreement":null},{"id":"W4402039472","doi":"10.1109/ojcoms.2024.3452591","title":"MVX-ViT: Multimodal Collaborative Perception for 6G V2X Network Management Decisions Using Vision Transformer","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Perception; Transformer; Computer science; Psychology; Engineering; Electrical engineering; Neuroscience","score_opus":0.04317431990149835,"score_gpt":0.354556086472948,"score_spread":0.31138176657144967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402039472","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":[0.0024929775,0.002195683,0.9909333,0.0008373714,0.0011585265,0.001237473,0.000040206964,0.00004430367,0.0010601293],"genre_scores_gemma":[0.47590008,0.003740002,0.5198458,0.000053152093,0.0001439844,0.000053536274,0.000009321675,0.00005210329,0.00020200541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892306,0.0001119185,0.0005298084,0.00010476344,0.00015840546,0.00017205843],"domain_scores_gemma":[0.99855685,0.00028429157,0.00013817228,0.00069346756,0.00027577352,0.00005144403],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078260165,0.00014104528,0.00020963639,0.000042124706,0.00060109224,0.00025358933,0.0013669905,0.0000823704,0.0000112183725],"category_scores_gemma":[0.000017316179,0.00010839085,0.0002804175,0.0006350235,0.000072413444,0.00079474726,0.00013009697,0.00031113467,0.000004106536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013580872,0.000032342658,0.0000075788134,0.0000423476,0.00024945955,2.6464951e-7,0.0027730244,0.96730626,0.0037971106,0.0004153338,0.014862488,0.010500189],"study_design_scores_gemma":[0.0006592083,0.000040563744,0.0000792109,0.001127937,0.00021413322,0.000025757077,0.0031292688,0.9634369,0.00021707066,0.0012195512,0.029668292,0.0001820893],"about_ca_topic_score_codex":0.000004317081,"about_ca_topic_score_gemma":0.000019959378,"teacher_disagreement_score":0.47340712,"about_ca_system_score_codex":0.00042749158,"about_ca_system_score_gemma":0.00006798299,"threshold_uncertainty_score":0.46231762},"labels":[],"label_agreement":null},{"id":"W4402080093","doi":"10.1109/tccn.2024.3452639","title":"Handover-Free Multi-Connectivity Mobility Management for Downlink FD-RAN: A Hierarchical DRL-Based Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; Natural Science Fund for Distinguished Young Scholars of Shandong Province; National Natural Science Foundation of China","keywords":"Computer science; Handover; Telecommunications link; Mobility management; Computer network; Ran","score_opus":0.03754216369686543,"score_gpt":0.27943560078296703,"score_spread":0.24189343708610161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402080093","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":[0.0005793187,0.0027143694,0.99306315,0.00008791685,0.00035451946,0.0013450186,0.00020221593,0.00055810926,0.0010954065],"genre_scores_gemma":[0.9189863,0.0016387431,0.07767482,0.000040448052,0.00005688578,0.0014275286,0.00006538903,0.000055034554,0.000054843313],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889016,0.00011611025,0.00029316245,0.00035158716,0.00009312375,0.00025583355],"domain_scores_gemma":[0.99788237,0.0012418117,0.000029475208,0.0006849156,0.000083885454,0.00007751624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031904384,0.00022969383,0.00022313594,0.00019119399,0.0004921712,0.000107006155,0.00025969802,0.000093781695,0.0000049498244],"category_scores_gemma":[0.0000058161795,0.00024399451,0.00012594339,0.00039650803,0.00014772118,0.00017587996,0.000009521174,0.0004170644,0.0000033783429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014258504,0.00061825826,0.00001431987,0.0009320442,0.0004760619,0.0000026070331,0.00066259695,0.42034227,0.00011498032,0.00066371623,0.0000575191,0.57597303],"study_design_scores_gemma":[0.0013312524,0.00005310254,0.000015439453,0.0005274357,0.00015314999,0.0000046676055,0.00018658515,0.9944138,0.00029459086,0.00030978327,0.0024494887,0.00026068918],"about_ca_topic_score_codex":0.0000070883675,"about_ca_topic_score_gemma":0.000077481796,"teacher_disagreement_score":0.91840696,"about_ca_system_score_codex":0.000114804614,"about_ca_system_score_gemma":0.000017257533,"threshold_uncertainty_score":0.99498075},"labels":[],"label_agreement":null},{"id":"W4402156803","doi":"10.1109/jproc.2024.3436513","title":"A Primer on Near-Field Communications for Next-Generation Multiple Access","year":2024,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"Engineering and Physical Sciences Research Council","keywords":"Primer (cosmetics); Field (mathematics); Computer science; Telecommunications; Computer network; Physics; Mathematics","score_opus":0.07239677524871686,"score_gpt":0.30131214926941613,"score_spread":0.22891537402069928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402156803","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":[0.5177039,0.0039324937,0.4259839,0.00913623,0.008156154,0.0070537413,0.000104467304,0.0026992457,0.025229894],"genre_scores_gemma":[0.9899688,0.00007019184,0.009406897,0.000043252618,0.00013438243,0.00016131891,0.0000031953025,0.00003287359,0.00017910308],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958134,0.0000016131407,0.0001592473,0.000097463184,0.00006890559,0.000091427595],"domain_scores_gemma":[0.9996098,0.00009351414,0.000034987486,0.00015124239,0.00009396283,0.000016469286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000082350496,0.00007893042,0.0000809295,0.000039467097,0.00008892918,0.00013534594,0.00038175445,0.000049697992,0.000002172972],"category_scores_gemma":[0.00008183287,0.00006342371,0.000050581468,0.0001809404,0.000018883356,0.00041239947,0.000039078455,0.000093182076,0.000003920955],"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":[0.000022004851,0.000040172854,0.0003662254,0.0009393571,0.00009377147,4.0821508e-8,0.0011197454,0.15286613,0.7797751,0.0067622433,0.050207805,0.0078074588],"study_design_scores_gemma":[0.00008421575,0.00001753864,0.000010376054,0.0001287196,0.000014853689,7.857474e-7,0.000021383796,0.7036471,0.29002944,0.00022675774,0.0057529053,0.00006595129],"about_ca_topic_score_codex":0.000007136382,"about_ca_topic_score_gemma":0.000005832854,"teacher_disagreement_score":0.55078095,"about_ca_system_score_codex":0.0000429889,"about_ca_system_score_gemma":0.000010024619,"threshold_uncertainty_score":0.25863436},"labels":[],"label_agreement":null},{"id":"W4402157474","doi":"10.1109/icc51166.2024.10622400","title":"Adaptive Bandwidth Allocation in Multiuser MIMO THz Systems with Graph-Transformer Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; MIMO; Bandwidth (computing); Terahertz radiation; Computer network; Electronic engineering; Physics; Optoelectronics; Engineering","score_opus":0.0068158936504618085,"score_gpt":0.19893847444525312,"score_spread":0.1921225807947913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402157474","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":[0.0014265886,0.0025586842,0.98789454,0.000014797058,0.0005158336,0.00055670395,0.0000029513028,0.00065584277,0.006374063],"genre_scores_gemma":[0.99480957,0.00019370732,0.004089165,0.0000080295495,0.00008095304,0.00014341447,0.000022735123,0.00006559084,0.0005868427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991973,0.000019407507,0.00024483373,0.00020666468,0.000100752644,0.0002310476],"domain_scores_gemma":[0.99971795,0.00004589112,0.000012632236,0.00013878405,0.000038635375,0.000046096804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010511115,0.00017473714,0.00016273205,0.00017774795,0.000021514712,0.00005842349,0.00006224989,0.00009938018,0.000015678517],"category_scores_gemma":[0.0000020711375,0.0001389626,0.000026892016,0.00052865647,0.00001609295,0.0004311098,0.0000029685318,0.00015767236,0.000022577067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011246499,0.0000063158777,0.0002101103,0.00011470463,0.000041115458,0.0000075451594,0.00028041637,0.9965284,0.00012591184,0.0015620263,0.00021248331,0.00089973374],"study_design_scores_gemma":[0.00026489497,0.000030669904,0.00013538457,0.0003718629,0.000013042821,0.000009854441,0.0002900562,0.9979777,0.00018192889,0.000019532687,0.00050219754,0.00020290923],"about_ca_topic_score_codex":0.00014500588,"about_ca_topic_score_gemma":0.0005482483,"teacher_disagreement_score":0.993383,"about_ca_system_score_codex":0.000114057584,"about_ca_system_score_gemma":0.000013094002,"threshold_uncertainty_score":0.56667304},"labels":[],"label_agreement":null},{"id":"W4402159170","doi":"10.1109/icc51166.2024.10622938","title":"Beamforming and Power Control for Wireless Network Virtualization in Uplink MIMO Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; MIMO; Computer science; Telecommunications link; Power control; Computer network; Wireless network; Wireless; Power (physics); Telecommunications","score_opus":0.005473670625160681,"score_gpt":0.21587347017663758,"score_spread":0.2103997995514769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402159170","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":[0.002309521,0.002751937,0.9922343,0.00001608627,0.00090852863,0.00066046044,0.0000054101683,0.00040593054,0.00070781546],"genre_scores_gemma":[0.99582255,0.000057055455,0.0036010768,0.000013563093,0.00014159961,0.00009257713,0.000016888669,0.000050220613,0.0002044951],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999353,0.000009152081,0.00026381426,0.00014487865,0.000043234675,0.00018591058],"domain_scores_gemma":[0.9997336,0.00011659193,0.000014997468,0.00007878106,0.000024430617,0.000031591822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017265511,0.00010938947,0.00016110689,0.00008294362,0.000027286651,0.000074662275,0.000033215467,0.000082225066,0.000003922758],"category_scores_gemma":[0.000011028248,0.00010564803,0.000018779338,0.00018318194,0.0000072001485,0.000253517,0.0000062937443,0.000053461772,0.0000036502877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004329548,0.0000017553583,0.00007735573,0.0002650473,0.000016809774,0.0000011679405,0.00015695312,0.9708188,0.00041939362,0.026889358,0.00026217822,0.0010868106],"study_design_scores_gemma":[0.00025637506,0.000015703778,0.000007980435,0.00024344971,0.000007960359,0.000005023717,0.00013404759,0.99764884,0.000057196536,0.0002196055,0.0012775125,0.00012629105],"about_ca_topic_score_codex":0.000008470958,"about_ca_topic_score_gemma":0.000015965019,"teacher_disagreement_score":0.993513,"about_ca_system_score_codex":0.00006886701,"about_ca_system_score_gemma":0.000006881122,"threshold_uncertainty_score":0.4308202},"labels":[],"label_agreement":null},{"id":"W4402215085","doi":"10.1109/ojcoms.2024.3454479","title":"Spectrum Allocation for Multiuser Terahertz Communication Systems: A Machine Learning Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Terahertz radiation; Spectrum (functional analysis); Computer science; Electromagnetic spectrum; Artificial intelligence; Telecommunications; Physics; Optoelectronics; Optics; Quantum mechanics","score_opus":0.037465048738038444,"score_gpt":0.2917790543863171,"score_spread":0.25431400564827866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402215085","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":[0.0011007505,0.024795275,0.9672925,0.0021031788,0.000937121,0.0015410826,0.000027551718,0.00016643308,0.0020361058],"genre_scores_gemma":[0.8722596,0.0031695913,0.123384155,0.000030631,0.0000924139,0.00014700131,0.000038367783,0.000069980306,0.0008082637],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987337,0.00026504032,0.00060845964,0.000102518985,0.00013970507,0.0001506056],"domain_scores_gemma":[0.9978987,0.0003256183,0.0002613733,0.0012566946,0.00021261745,0.000045012705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012487416,0.00014972358,0.0002383819,0.00005331611,0.00047626306,0.00041132374,0.0026051968,0.00009208323,0.0000029644325],"category_scores_gemma":[0.00005909522,0.00011649653,0.00023945785,0.0003958346,0.00007839212,0.00076248107,0.0002649102,0.00063061854,0.000004271893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000070932933,0.000053705302,0.00006704859,0.00017998004,0.00028902222,7.320925e-8,0.0034703608,0.98467547,0.0016937985,0.0022447917,0.0059861653,0.0013325048],"study_design_scores_gemma":[0.00035552678,0.000019251513,0.000015299811,0.00040071417,0.00007813901,0.000050677765,0.00085941184,0.9469882,0.0002754184,0.00023668726,0.050591912,0.00012872223],"about_ca_topic_score_codex":0.000036513196,"about_ca_topic_score_gemma":0.000022737617,"teacher_disagreement_score":0.87115884,"about_ca_system_score_codex":0.00036201774,"about_ca_system_score_gemma":0.00007239532,"threshold_uncertainty_score":0.4841147},"labels":[],"label_agreement":null},{"id":"W4402258658","doi":"10.1109/twc.2024.3449036","title":"Scalable Spatial and Geometric Learning Approach for Joint Power Control and Channel Allocation","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Scalability; Power control; Joint (building); Channel (broadcasting); Channel allocation schemes; Control (management); Power (physics); Wireless; Artificial intelligence; Computer network; Telecommunications; Engineering","score_opus":0.018252652951429874,"score_gpt":0.23381137084751424,"score_spread":0.21555871789608438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402258658","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":[0.0014131187,0.0019242532,0.9947418,0.00018514924,0.00018438407,0.000655458,0.00004834792,0.0004979208,0.00034954707],"genre_scores_gemma":[0.9843389,0.0014305415,0.013500539,0.000013578281,0.00001916784,0.00043223044,0.000034879933,0.000060743856,0.00016943636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992334,0.000052758594,0.00025565174,0.00020878468,0.000077289704,0.00017206337],"domain_scores_gemma":[0.9991692,0.00024933618,0.000029545887,0.0004090209,0.00007454455,0.000068384754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018754872,0.0001579674,0.0001840526,0.00038736875,0.00035193586,0.000101793776,0.00012592405,0.000101285324,0.0000039452857],"category_scores_gemma":[0.000008806171,0.00017345628,0.000046693236,0.0004232615,0.00007545813,0.00026087897,0.0000028355166,0.00030919717,0.0000045641186],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000089652785,0.000057754165,0.0000031876366,0.00019493276,0.00009423068,1.295333e-7,0.00057008927,0.96069443,0.0031787101,0.00034019162,0.000034371304,0.03482302],"study_design_scores_gemma":[0.0004100154,0.00005161714,0.000024539493,0.0000717567,0.00005582558,0.000009897906,0.0001942867,0.99732983,0.0012459598,0.000040992076,0.0003931412,0.00017213923],"about_ca_topic_score_codex":0.000033345932,"about_ca_topic_score_gemma":0.000025079988,"teacher_disagreement_score":0.9829258,"about_ca_system_score_codex":0.00008403494,"about_ca_system_score_gemma":0.000016035487,"threshold_uncertainty_score":0.70733416},"labels":[],"label_agreement":null},{"id":"W4402568879","doi":"10.1109/tmc.2024.3462721","title":"FD MU-MIMO Systems: Performance Analysis in the Presence of Imperfect CSI and Non-Ideal Transceivers","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; Confederation College; Western University","funders":"","keywords":"Computer science; Imperfect; Transceiver; MIMO; Ideal (ethics); Telecommunications; Electronic engineering; Wireless; Beamforming; Engineering","score_opus":0.006216130444227058,"score_gpt":0.22407471296612957,"score_spread":0.21785858252190252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402568879","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":[0.38421065,0.00060129404,0.614364,0.0000025844254,0.00026639114,0.00031133607,0.000009975811,0.00010220329,0.0001315625],"genre_scores_gemma":[0.9990971,0.0002539756,0.00052499736,0.0000023280975,0.000028738807,0.000053228337,0.0000020073664,0.00002335369,0.000014276328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902517,0.00005987882,0.00035021987,0.00022456255,0.00014467415,0.00019550238],"domain_scores_gemma":[0.9993976,0.00031399392,0.000030052004,0.00019966744,0.000028536697,0.00003015756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031429235,0.00015674974,0.00025048634,0.00038417673,0.00008794524,0.00005236097,0.00013348035,0.00006546053,0.0000041722637],"category_scores_gemma":[0.0000013843048,0.00013480554,0.00009494142,0.0011704891,0.000040228533,0.00019952068,6.031713e-7,0.00026227094,0.0000030521417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004767726,0.00001365741,0.00017521561,0.00046754951,0.000121693534,0.0000035221112,0.0024771215,0.98486125,0.0013361742,0.0000039755564,0.000004005645,0.01053106],"study_design_scores_gemma":[0.00014684738,0.000060593644,0.0003754594,0.0003078334,0.00013035486,0.0000114668155,0.0007851827,0.9958779,0.0021510904,7.144238e-7,0.000028212753,0.0001243167],"about_ca_topic_score_codex":0.000085482534,"about_ca_topic_score_gemma":0.000045328197,"teacher_disagreement_score":0.61488646,"about_ca_system_score_codex":0.00006883293,"about_ca_system_score_gemma":0.000014202721,"threshold_uncertainty_score":0.54972106},"labels":[],"label_agreement":null},{"id":"W4402790633","doi":"10.21833/ijaas.2024.08.008","title":"Enhancing spectral efficiency in uplink/downlink channels of multi-cell massive MIMO for 5G networks","year":2024,"lang":"en","type":"article","venue":"International Journal of ADVANCED AND APPLIED SCIENCES","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Telecommunications link; Spectral efficiency; MIMO; Computer science; Computer network; Telecommunications; Channel (broadcasting)","score_opus":0.009558338419251031,"score_gpt":0.2630935833356357,"score_spread":0.2535352449163847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402790633","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":[0.08621846,0.0029867687,0.90831286,0.000061052226,0.0017939768,0.00017909947,0.000004728752,0.000024119037,0.00041892362],"genre_scores_gemma":[0.9606372,0.00029118473,0.038795456,0.0000091369375,0.00022547884,0.000008291509,0.0000014532449,0.000010847989,0.000020952077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902743,0.000005364367,0.000471794,0.00014642382,0.00018329902,0.00016568984],"domain_scores_gemma":[0.9995309,0.00016045403,0.00013761914,0.000035226964,0.00009476942,0.000041026924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033220873,0.00010704515,0.00018449959,0.00028824282,0.000032168144,0.000057449495,0.00022956167,0.000042114523,0.0000034742482],"category_scores_gemma":[0.00002581438,0.00009116555,0.000051223036,0.00021909119,0.00007854339,0.00030660225,0.000012813759,0.00013576105,4.8606177e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016800137,0.00001861501,0.000018300556,0.000044119977,0.000011238789,0.0000041985063,0.00032471935,0.93818015,0.054915477,0.00096918823,0.0000048295215,0.0054923813],"study_design_scores_gemma":[0.0007417072,0.000087438726,0.00002774708,0.0003786838,0.0000064559094,0.000017740773,0.00056588865,0.8921889,0.10478922,0.00096777664,0.00009737415,0.00013107831],"about_ca_topic_score_codex":8.181771e-7,"about_ca_topic_score_gemma":0.0000041067556,"teacher_disagreement_score":0.87441874,"about_ca_system_score_codex":0.00006303902,"about_ca_system_score_gemma":0.00003671654,"threshold_uncertainty_score":0.37176234},"labels":[],"label_agreement":null},{"id":"W4402830469","doi":"10.1109/mitp.2024.3433511","title":"Integrated Cellular and Cell-Free Communication Systems Toward Global Connectivity: Motivations, Challenges, and Research Roadmap","year":2024,"lang":"en","type":"article","venue":"IT Professional","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Knowledge management; Business; Process management; Telecommunications","score_opus":0.05972699648705305,"score_gpt":0.3206743438525273,"score_spread":0.26094734736547426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402830469","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":[0.29438785,0.50185335,0.16257042,0.007384583,0.0042568822,0.0032537284,0.00031685864,0.0021003494,0.023876],"genre_scores_gemma":[0.99407554,0.003224281,0.0018993758,0.000007675046,0.00008458785,0.00013634535,0.00007826525,0.00003317242,0.00046078567],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987012,0.00029403035,0.00025212613,0.00026821662,0.00026007713,0.00022430939],"domain_scores_gemma":[0.9990331,0.00034286,0.000024869909,0.00035019923,0.00016318746,0.000085814994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076752965,0.00015188387,0.00017236799,0.00013392039,0.00016041033,0.00009592366,0.00016866742,0.00017367299,0.00001042336],"category_scores_gemma":[0.00012831173,0.00013819683,0.00001632443,0.00028854414,0.00008059752,0.00036978713,0.00018832435,0.00042178537,0.000014880811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001634173,0.00047870353,0.002405171,0.015246846,0.00055141473,0.00014269618,0.027856436,0.07395679,0.033499967,0.6627601,0.09729828,0.08564021],"study_design_scores_gemma":[0.0013841371,0.00012654395,0.0018093345,0.005039662,0.000040929244,0.00009647906,0.016443163,0.92038566,0.0018471808,0.016488293,0.035549548,0.0007890491],"about_ca_topic_score_codex":0.000040264786,"about_ca_topic_score_gemma":0.000025897336,"teacher_disagreement_score":0.8464289,"about_ca_system_score_codex":0.0002145507,"about_ca_system_score_gemma":0.00006753772,"threshold_uncertainty_score":0.56355035},"labels":[],"label_agreement":null},{"id":"W4402834061","doi":"10.1109/vtc2024-spring62846.2024.10683251","title":"Joint Channel Estimation and User Activity Detection for mmWave Grant-Free Massive MTC Networks Under Pilot Contamination Attack","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Joint (building); Computer science; Channel (broadcasting); Computer network; Contamination; Real-time computing; Engineering","score_opus":0.02696647413098989,"score_gpt":0.24616291590535658,"score_spread":0.2191964417743667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402834061","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":[0.009333181,0.00019853369,0.98778605,0.00010619884,0.00085901713,0.00079463737,0.000010409386,0.00063926354,0.00027269387],"genre_scores_gemma":[0.9916118,0.00003992704,0.007593802,0.000013294609,0.00014378385,0.00018088131,0.000030252744,0.000057922287,0.00032837028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999307,0.00001982139,0.00018538623,0.00022645961,0.00008105978,0.00018032112],"domain_scores_gemma":[0.99957675,0.00011101364,0.000036301866,0.00015828294,0.00007283446,0.000044820812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013910286,0.00016459794,0.00015082025,0.00012758409,0.000080184895,0.00009325655,0.00003907321,0.00010260727,0.0000065707745],"category_scores_gemma":[0.000047883543,0.00016388249,0.00003406599,0.00015699769,0.000017010563,0.0006387657,0.000016918246,0.000109648754,0.0000048661827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017366796,0.000007634553,0.000001446877,0.000191244,0.000034927947,6.333133e-7,0.00007906233,0.97894835,0.005818898,0.00074527884,0.00034229134,0.01381287],"study_design_scores_gemma":[0.00046327114,0.000101316815,0.00032178411,0.000085330495,0.000032671593,0.000007740623,0.000066008244,0.987527,0.010400451,0.00074661226,0.00006510109,0.00018269567],"about_ca_topic_score_codex":0.000016360545,"about_ca_topic_score_gemma":0.00019455173,"teacher_disagreement_score":0.9822786,"about_ca_system_score_codex":0.00020680895,"about_ca_system_score_gemma":0.0000068532613,"threshold_uncertainty_score":0.6682934},"labels":[],"label_agreement":null},{"id":"W4402897102","doi":"10.1109/iwqos61813.2024.10682890","title":"Peering the Edge: Enabling Low-Latency Interdomain Edge Communication via Collaborative Transmission","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Peering; Enhanced Data Rates for GSM Evolution; Computer science; Low latency (capital markets); Computer network; Latency (audio); Transmission (telecommunications); Edge device; Telecommunications; The Internet; Operating system","score_opus":0.006479538353748127,"score_gpt":0.23315087904853754,"score_spread":0.22667134069478942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402897102","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":[0.001666757,0.006987414,0.97892565,0.0002767364,0.00043125896,0.0003867788,0.00000335637,0.00090606854,0.010415987],"genre_scores_gemma":[0.98434913,0.00069163606,0.013828998,0.000019151103,0.00008700185,0.00006792139,0.00002570824,0.00006508577,0.00086535997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992085,0.00005793331,0.00028875403,0.00016264048,0.000102127815,0.00018005479],"domain_scores_gemma":[0.9993878,0.0001385042,0.000020479483,0.00032984948,0.00007823656,0.000045155757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024876872,0.00016132554,0.00013030072,0.000094882475,0.0001372911,0.00011716309,0.00021592873,0.000078830715,0.000083212835],"category_scores_gemma":[0.000016880173,0.000117996686,0.000042802156,0.00057299493,0.000030504025,0.00043381628,0.00003564765,0.00024000618,0.000063529806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012189541,0.000019252364,0.000009630082,0.0005329468,0.00009688905,0.0000076256592,0.0109401215,0.8137972,0.07822537,0.004233356,0.0024502913,0.08967513],"study_design_scores_gemma":[0.00015192575,0.000014503735,0.000009078533,0.00048251703,0.000017303712,0.000009990084,0.0010149721,0.96003926,0.020895677,0.0006124668,0.016542729,0.00020960197],"about_ca_topic_score_codex":0.000009630006,"about_ca_topic_score_gemma":0.000014346512,"teacher_disagreement_score":0.9826824,"about_ca_system_score_codex":0.00014437387,"about_ca_system_score_gemma":0.000021133501,"threshold_uncertainty_score":0.48117653},"labels":[],"label_agreement":null},{"id":"W4402897269","doi":"10.1109/iwqos61813.2024.10682836","title":"SMART: Dual-channel Southbound Message Delivery in Clouds with Rate Estimation","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"Youth Innovation Promotion Association; National Science Foundation","keywords":"Computer science; Channel (broadcasting); Dual (grammatical number); Estimation; Cloud computing; Computer network; Engineering; Systems engineering; Operating system","score_opus":0.007485646955424178,"score_gpt":0.20890890956451405,"score_spread":0.20142326260908988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402897269","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":[0.041271444,0.0003814103,0.9516794,0.000036623776,0.00033365408,0.00021923016,0.000005390614,0.00079375855,0.005279077],"genre_scores_gemma":[0.99010617,0.000027024786,0.008395234,0.000011482798,0.00003658181,0.000036990612,0.000024756182,0.00004942207,0.001312334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994135,0.000016199314,0.00018107936,0.00015847055,0.00006886511,0.00016192316],"domain_scores_gemma":[0.99976945,0.0000428147,0.00001125142,0.00012308055,0.000020673302,0.00003273807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011978412,0.00012829031,0.00011533903,0.00013163598,0.00002155912,0.00007150609,0.00003217587,0.000055615696,0.000036414018],"category_scores_gemma":[0.0000082028555,0.00009948245,0.000016718546,0.0003057997,0.000012681925,0.00038004993,0.000010796898,0.00010064973,0.00011331295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005014043,0.0000036015924,0.000027936068,0.00012716874,0.000015447014,0.0000351364,0.00046550433,0.9971043,0.00048468434,0.0005892239,0.0001843532,0.000957672],"study_design_scores_gemma":[0.00019093786,0.000014994612,0.00010694172,0.00016222644,0.000009028131,0.000013388397,0.00013408867,0.9975691,0.0011004222,0.00034297194,0.00019821472,0.00015770149],"about_ca_topic_score_codex":0.000033305478,"about_ca_topic_score_gemma":0.00020378217,"teacher_disagreement_score":0.9488347,"about_ca_system_score_codex":0.000100848745,"about_ca_system_score_gemma":0.000015269867,"threshold_uncertainty_score":0.40567765},"labels":[],"label_agreement":null},{"id":"W4402915682","doi":"10.1109/tcomm.2024.3469542","title":"Rate-Splitting for Cell-Free Massive MIMO: Performance Analysis and Generative AI Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"MIMO; Computer science; Electronic engineering; Theoretical computer science; Algorithm; Telecommunications; Engineering; Beamforming","score_opus":0.019266319526402943,"score_gpt":0.2542887351162682,"score_spread":0.23502241558986525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402915682","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":[0.0011183204,0.0009634548,0.99483424,0.00041749788,0.0001683226,0.00047864017,0.0001418152,0.00041147327,0.0014662548],"genre_scores_gemma":[0.8577949,0.0010308936,0.1398,0.000030301644,0.000022509577,0.00067935145,0.0000652361,0.000045050117,0.0005317513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992298,0.000060137205,0.00025201906,0.00022284659,0.00006391159,0.0001713018],"domain_scores_gemma":[0.9984537,0.0003252401,0.000029868024,0.0010450934,0.00008972132,0.00005641298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016336491,0.0001707116,0.00019342382,0.000354923,0.00041858354,0.000103654165,0.00033109018,0.00008417855,0.0000076251604],"category_scores_gemma":[0.00000525278,0.00018125091,0.00011186871,0.0008720263,0.000066319204,0.00033814125,0.0000046538185,0.00029301023,0.0000076153574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004452303,0.000041732193,0.000004944425,0.0001531804,0.00032013239,1.1595323e-7,0.00073814683,0.99138004,0.0021339692,0.00028718563,0.0001898004,0.004746305],"study_design_scores_gemma":[0.00020774658,0.000025807885,0.000011288161,0.000034689456,0.00037396085,0.000001510442,0.00021506763,0.98606,0.011828807,0.00007252931,0.000987837,0.00018070698],"about_ca_topic_score_codex":0.000008424681,"about_ca_topic_score_gemma":0.000042286658,"teacher_disagreement_score":0.8566766,"about_ca_system_score_codex":0.000107360145,"about_ca_system_score_gemma":0.000023664637,"threshold_uncertainty_score":0.73911977},"labels":[],"label_agreement":null},{"id":"W4402978101","doi":"10.1109/comst.2024.3471453","title":"Resource Management in RIS-Assisted Rate Splitting Multiple Access for Next Generation (xG) Wireless Communications: Models, State-of-the-Art, and Future Directions","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Wireless; State (computer science); Resource (disambiguation); Computer science; Telecommunications; Computer network; Algorithm","score_opus":0.09388821969924367,"score_gpt":0.3155933474430699,"score_spread":0.22170512774382622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402978101","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":[0.038621075,0.02714479,0.9169009,0.0015449474,0.005988374,0.0058080833,0.00058411073,0.0010658721,0.0023418663],"genre_scores_gemma":[0.9491225,0.014531027,0.033603977,0.00001669221,0.00032688666,0.0015201773,0.0004714877,0.00010830368,0.000298931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970379,0.0014052208,0.00089360814,0.00027527084,0.00013028113,0.000257738],"domain_scores_gemma":[0.99570954,0.0013833261,0.00017699739,0.002491469,0.0001922124,0.000046465266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029868332,0.00022637696,0.00032082674,0.00026407075,0.00043103046,0.0002643209,0.0011848636,0.000111865564,0.000001570581],"category_scores_gemma":[0.00010504452,0.00022720333,0.000082646,0.000962302,0.0001327794,0.00086655933,0.00036825374,0.00027457695,0.0000024730327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003013927,0.00029224754,0.0005780566,0.0011950008,0.0005428589,9.929622e-7,0.0047067115,0.61470824,0.023485444,0.0121720545,0.0034838188,0.33880445],"study_design_scores_gemma":[0.00048852514,0.0000079259735,0.0008711711,0.00026846793,0.00006313005,0.0000021858618,0.00024104075,0.91333175,0.0009436139,0.0007163581,0.08279248,0.00027337566],"about_ca_topic_score_codex":0.00013547995,"about_ca_topic_score_gemma":0.0021483675,"teacher_disagreement_score":0.9105014,"about_ca_system_score_codex":0.0002796855,"about_ca_system_score_gemma":0.000046659046,"threshold_uncertainty_score":0.9265083},"labels":[],"label_agreement":null},{"id":"W4402979132","doi":"10.1109/lwc.2024.3471509","title":"Interleaved Training for Massive MIMO Downlink via Exploring Channel Temporal Correlation","year":2024,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Telecommunications link; MIMO; Computer science; Training (meteorology); Correlation; Channel (broadcasting); Spatial correlation; Telecommunications; Mathematics; Physics","score_opus":0.06841453027298339,"score_gpt":0.2711386728321502,"score_spread":0.20272414255916682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402979132","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":[0.006892361,0.00086461956,0.9858458,0.0028130473,0.0016603832,0.00064482447,0.00004066683,0.0011052573,0.00013301702],"genre_scores_gemma":[0.9680956,0.00019796686,0.0298481,0.00015266241,0.00018890943,0.0010446394,0.00031864032,0.000113053924,0.000040405026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988317,0.00006345304,0.00047614973,0.00023412667,0.00009816646,0.00029640083],"domain_scores_gemma":[0.99869525,0.00027183082,0.00007892611,0.00083317095,0.000053434767,0.00006737235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020377376,0.00022224576,0.0002461314,0.000274611,0.00021961895,0.000105587336,0.00048044705,0.000073921095,0.0000033773783],"category_scores_gemma":[0.000014861183,0.000258544,0.00011136716,0.00035186252,0.00007191824,0.0006806857,0.000045668974,0.00031042998,0.00003259432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007486005,0.000016545428,0.000014496246,0.00025026695,0.00014022239,0.0000022434738,0.01132252,0.9096329,0.026489485,0.00075035513,0.002060514,0.049312923],"study_design_scores_gemma":[0.00023034615,0.000015994945,0.000010017112,0.00046024902,0.000020215239,0.0000074782265,0.00083625334,0.9933081,0.001083203,0.00009354257,0.0036588185,0.0002757365],"about_ca_topic_score_codex":0.000018829562,"about_ca_topic_score_gemma":0.000039588926,"teacher_disagreement_score":0.9612033,"about_ca_system_score_codex":0.0003027385,"about_ca_system_score_gemma":0.000023650682,"threshold_uncertainty_score":0.99998665},"labels":[],"label_agreement":null},{"id":"W4402979687","doi":"10.1109/tit.2024.3470952","title":"Covariance-Based Activity Detection in Cooperative Multi-Cell Massive MIMO: Scaling Law and Efficient Algorithms","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Science and Technology Planning Project; National Natural Science Foundation of China","keywords":"Covariance; MIMO; Algorithm; Scaling law; Computer science; Scaling; Mathematics; Telecommunications; Statistics","score_opus":0.007208132064249445,"score_gpt":0.21732735211668625,"score_spread":0.2101192200524368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402979687","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":[0.004006138,0.00013193562,0.99327075,0.000009310147,0.0010274679,0.00046778683,0.000060340393,0.00043291078,0.0005933619],"genre_scores_gemma":[0.9964673,0.000026655227,0.003256326,0.000035869878,0.000017016459,0.00014681544,0.000007135499,0.000023803967,0.00001906939],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922794,0.000074247786,0.00028810845,0.00013471914,0.00010949626,0.00016545958],"domain_scores_gemma":[0.9995553,0.00017339906,0.000037029244,0.00012232352,0.00006170269,0.000050234015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026322066,0.00017580154,0.00013722286,0.00033520078,0.0001382012,0.00010793915,0.000044319222,0.00010738132,0.000016317195],"category_scores_gemma":[0.000005570446,0.00018173548,0.000041124385,0.00039389168,0.00005148678,0.0009531297,5.378912e-7,0.0003305978,0.00005823111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043184933,0.000030882165,6.15533e-8,0.00018856961,0.000011277883,8.865216e-7,0.0011138398,0.9393604,0.0020464924,0.000343545,9.837507e-7,0.0568599],"study_design_scores_gemma":[0.00062772573,0.000025039399,0.0000029450882,0.0001342785,0.000012387378,0.0000025988122,0.00028458165,0.8545579,0.14403406,0.00002585665,0.000132715,0.00015990873],"about_ca_topic_score_codex":0.00001660434,"about_ca_topic_score_gemma":0.00002807262,"teacher_disagreement_score":0.99246114,"about_ca_system_score_codex":0.0002784718,"about_ca_system_score_gemma":0.000029219153,"threshold_uncertainty_score":0.7410958},"labels":[],"label_agreement":null},{"id":"W4403024474","doi":"10.1109/pacrim61180.2024.10690186","title":"Innovative Approaches to Interference Protection in Next-Gen Wireless Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Interference (communication); Wireless; Computer science; Wireless network; Computer network; Telecommunications; Computer security; Channel (broadcasting)","score_opus":0.07431825895588982,"score_gpt":0.23143394494021138,"score_spread":0.15711568598432157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403024474","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":[0.010016949,0.00013759964,0.9837107,0.000051861833,0.00034038376,0.00049938785,6.731736e-7,0.00054110884,0.0047013024],"genre_scores_gemma":[0.99474126,0.0000074081786,0.004630345,0.000010272783,0.00007770072,0.0002386319,0.0000051134753,0.000029819466,0.00025943373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945027,0.000013410379,0.00018205745,0.0001692732,0.000039998828,0.00014500253],"domain_scores_gemma":[0.9998377,0.000014558685,0.00000765664,0.00009476281,0.000020752832,0.000024555697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009021072,0.00010368584,0.00009884706,0.00018235767,0.000011449894,0.000061604645,0.00006360648,0.00006369408,0.000013562973],"category_scores_gemma":[0.000009303735,0.00009845899,0.000009896614,0.0011662347,0.0000067720416,0.00030657335,0.000023537308,0.0001668219,0.000032784927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036998051,0.000003550531,0.000028327686,0.00006876997,0.000008516041,0.0000017511057,0.00057848793,0.93916523,0.0012642156,0.0027644313,0.0000755623,0.056037437],"study_design_scores_gemma":[0.000041835592,0.000017975528,0.000052105937,0.00015872167,9.469167e-7,0.000002454721,0.00020911593,0.9968885,0.0022122103,0.00009698017,0.0001990327,0.00012012902],"about_ca_topic_score_codex":0.000023729079,"about_ca_topic_score_gemma":0.00008894343,"teacher_disagreement_score":0.98472434,"about_ca_system_score_codex":0.00014706893,"about_ca_system_score_gemma":0.000008026792,"threshold_uncertainty_score":0.40150413},"labels":[],"label_agreement":null},{"id":"W4403024543","doi":"10.1109/pacrim61180.2024.10690191","title":"User Clustering and Hybrid Precoding Design for mm-Wave Multi-User Massive MIMO Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; McMaster University","funders":"","keywords":"Precoding; Computer science; MIMO; Cluster analysis; Multi-user; Multi-user MIMO; Computer network; Telecommunications; Artificial intelligence; Beamforming","score_opus":0.03493021992264486,"score_gpt":0.24772029030579112,"score_spread":0.21279007038314626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403024543","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":[0.00071632734,0.0017442493,0.99379265,0.000017527345,0.0012911926,0.0011655326,0.000020961337,0.0008965069,0.00035504816],"genre_scores_gemma":[0.69969416,0.00012878931,0.29316294,0.000010863294,0.0002476676,0.00041945884,0.000016118587,0.00016971101,0.006150279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905974,0.00002248458,0.00029432235,0.0002815024,0.00006734269,0.00027461257],"domain_scores_gemma":[0.9994966,0.00020467707,0.000024573828,0.00015426638,0.000047016547,0.000072875395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017159247,0.00020443971,0.00021006328,0.00012672447,0.00006100853,0.00020199,0.00005533347,0.000070566704,0.000011277433],"category_scores_gemma":[0.000034684163,0.00019430315,0.00004092048,0.00009470834,0.000011692662,0.00043040447,0.00003227427,0.00008798434,0.000015812506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006004667,0.000003368446,0.000008913696,0.0010088058,0.0000687814,0.000011706439,0.00021098605,0.9901039,0.0054894094,0.0006726867,0.0012458536,0.0011695974],"study_design_scores_gemma":[0.0002519919,0.00002114861,0.000003250358,0.00034501922,0.000025703504,0.000040868734,0.00020476498,0.98827946,0.006973641,0.000023404576,0.003586145,0.00024458015],"about_ca_topic_score_codex":0.000009427524,"about_ca_topic_score_gemma":0.000008433133,"teacher_disagreement_score":0.7006297,"about_ca_system_score_codex":0.00012866966,"about_ca_system_score_gemma":0.000010438709,"threshold_uncertainty_score":0.7923452},"labels":[],"label_agreement":null},{"id":"W4403059543","doi":"10.1109/tcomm.2024.3472001","title":"Non-Coherent Communication Over Ultra-Fast Fading Channels in the Presence of Barrage Jamming","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Fading; Jamming; Electronic engineering; Computer science; Telecommunications; Computer network; Engineering; Channel (broadcasting); Physics","score_opus":0.020352973862138267,"score_gpt":0.2688338815762117,"score_spread":0.2484809077140734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403059543","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":[0.0067686928,0.0015121244,0.98478025,0.0003894864,0.00042408946,0.0007062374,0.00004213936,0.00025859926,0.005118389],"genre_scores_gemma":[0.995,0.0017295472,0.0026748064,0.000014958084,0.000014914702,0.00039196742,0.000017766211,0.000040846422,0.00011518663],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989632,0.00013826098,0.00042836802,0.00014417445,0.00015138049,0.00017465564],"domain_scores_gemma":[0.9975006,0.00066675636,0.00004382985,0.0017113663,0.000046269743,0.00003115024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033106,0.00015655861,0.00016247739,0.00026832012,0.00020667259,0.00006709361,0.00093540136,0.000082917904,0.000029084615],"category_scores_gemma":[0.00000792571,0.00014577706,0.000082798804,0.00079734565,0.00009997235,0.0003983579,0.000004256931,0.0005489811,0.000021379989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031159143,0.00008124942,0.0000053219424,0.000106910935,0.000036616595,5.7337996e-7,0.0098516345,0.9727672,0.0069370973,0.00037023076,0.00012506693,0.0097150095],"study_design_scores_gemma":[0.00021790463,0.000028619661,0.00004695913,0.0007601246,0.000036508354,0.000009811459,0.0017961496,0.9824766,0.01302783,0.00020185231,0.0011952164,0.00020242331],"about_ca_topic_score_codex":0.000097418226,"about_ca_topic_score_gemma":0.00026761665,"teacher_disagreement_score":0.9882313,"about_ca_system_score_codex":0.00012838078,"about_ca_system_score_gemma":0.000022479971,"threshold_uncertainty_score":0.59446156},"labels":[],"label_agreement":null},{"id":"W4403364020","doi":"10.4230/lipics.disc.2025.58","title":"Brief Announcement: Optimal-Length Labeling Schemes for Fast Deterministic Communication in Radio Networks","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec en Outaouais","keywords":"Computer science; Radio networks; Computer network; Telecommunications; Wireless; Wireless network","score_opus":0.037154758660501386,"score_gpt":0.1945091719985628,"score_spread":0.1573544133380614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403364020","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":[0.019329336,0.001932547,0.97567254,0.0000104388555,0.000598101,0.0008470981,0.00006864334,0.0004756969,0.0010656044],"genre_scores_gemma":[0.9879816,0.0013693739,0.009625048,0.0000087274575,0.00009598121,0.000019229254,0.00029756705,0.00009483359,0.0005076165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986637,0.00005052965,0.0003468334,0.0005549766,0.000039156806,0.0003447575],"domain_scores_gemma":[0.9988316,0.00013317443,0.00012124297,0.0007377203,0.000102247504,0.00007397608],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00022043292,0.00033988827,0.000372911,0.0002811576,0.000086497435,0.000081621714,0.00049173716,0.0003353656,0.000009117207],"category_scores_gemma":[0.000034057706,0.0004633084,0.00011599024,0.00039582414,0.000055359047,0.00016653867,0.00046073657,0.0006626614,0.000011893253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002131057,0.000018109322,0.00010092958,0.0005334584,0.00008343835,0.000024216866,0.0001912898,0.9922684,0.000024517178,0.0059380145,0.000120887606,0.0006754206],"study_design_scores_gemma":[0.00049984595,0.0000183725,0.0000077356,0.0007625199,0.000101394544,0.0000022145543,0.00015500457,0.9952948,0.00003230931,0.0018395927,0.0008708601,0.00041534167],"about_ca_topic_score_codex":0.000027036422,"about_ca_topic_score_gemma":0.00007259332,"teacher_disagreement_score":0.9686523,"about_ca_system_score_codex":0.0005746009,"about_ca_system_score_gemma":0.00005353211,"threshold_uncertainty_score":0.99978185},"labels":[],"label_agreement":null},{"id":"W4403447109","doi":"10.23919/transcom.2024ebp3099","title":"Cost-Efficient Citywide Neutral Host Design: A Micro-Operator Business Model for Expedited 5G and Beyond Network Infrastructure Rollout","year":2024,"lang":"en","type":"article","venue":"IEICE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology","funders":"","keywords":"Computer science; Host (biology); Telecommunications; Operator (biology); Business model; Computer network; Business; Marketing","score_opus":0.032011586300880315,"score_gpt":0.27391418357048913,"score_spread":0.24190259726960883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403447109","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":[0.0010964309,0.002128614,0.9931074,0.00062022,0.00049873895,0.0014208667,0.00027586415,0.000667063,0.0001848151],"genre_scores_gemma":[0.7872988,0.0008082721,0.21020243,0.00010636842,0.00007884158,0.0011668433,0.00008973294,0.000100192905,0.00014853469],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989615,0.000055776938,0.00034997307,0.00026053205,0.000079425285,0.00029278218],"domain_scores_gemma":[0.99843216,0.00040932884,0.00003301272,0.00085330376,0.00016883873,0.00010333154],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013615766,0.0002545831,0.00021536097,0.00018874471,0.0004999447,0.00015735757,0.00034044564,0.00015509648,0.000010615404],"category_scores_gemma":[0.000012277047,0.00027374976,0.000069691574,0.0007012551,0.000088384266,0.00026042524,0.000008912131,0.00036944987,0.000007596949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017004266,0.000036734215,0.0000013892403,0.00007374453,0.000060915558,3.6586317e-7,0.0012021998,0.99295247,0.0023981628,0.00034501994,0.00068685575,0.0022251245],"study_design_scores_gemma":[0.00036141655,0.00001835701,0.000024015319,0.00011324202,0.00009319633,0.000012538256,0.00018092267,0.99576575,0.00070120924,0.0001609713,0.0023084166,0.00025997858],"about_ca_topic_score_codex":0.000007738133,"about_ca_topic_score_gemma":0.00008439399,"teacher_disagreement_score":0.7862024,"about_ca_system_score_codex":0.00017051227,"about_ca_system_score_gemma":0.00007827553,"threshold_uncertainty_score":0.99997145},"labels":[],"label_agreement":null},{"id":"W4403503727","doi":"10.20944/preprints202410.1331.v1","title":"Evaluating Wireless Network Technologies (3G, 4G, 5G) and Their Infrastructure: A Systematic Review","year":2024,"lang":"en","type":"review","venue":"Preprints.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Wireless; Wireless network; Computer science; Telecommunications; Business","score_opus":0.10308959999993425,"score_gpt":0.3760783788463183,"score_spread":0.27298877884638406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403503727","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00001038047,0.9892586,0.0032321084,0.0000070876818,0.0005432868,0.004210579,0.000015235297,0.0021258986,0.0005968436],"genre_scores_gemma":[0.00054996775,0.99641246,0.0007716535,0.00000780438,0.0001124964,0.0017913424,0.000028544511,0.00019976095,0.00012597245],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9969209,0.00024093343,0.0014571251,0.0007238132,0.00023682775,0.00042041647],"domain_scores_gemma":[0.99781805,0.00022013058,0.000467586,0.0013265471,0.000108173874,0.000059511],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013505684,0.000793259,0.0030938855,0.00018852424,0.000077869474,0.000059118724,0.0007100524,0.00046161356,0.00002940095],"category_scores_gemma":[0.00083577493,0.00057081156,0.0003085031,0.0008361851,0.00005859151,0.00018544206,0.0006262191,0.0008880427,0.00038698752],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.1858828e-7,0.0000019110053,0.0000150693795,0.92716235,0.00035094263,0.000003042886,0.000056387158,0.0038295253,0.000004484791,0.000070592134,0.00005270286,0.068452746],"study_design_scores_gemma":[0.00004625809,0.000006842782,0.0000015586853,0.96834487,0.0023313942,0.00015969167,0.000049346432,0.0060863155,0.00000921505,0.0003571009,0.021979567,0.00062782684],"about_ca_topic_score_codex":0.0000019109661,"about_ca_topic_score_gemma":0.0000015643787,"teacher_disagreement_score":0.06782492,"about_ca_system_score_codex":0.00038051323,"about_ca_system_score_gemma":0.000097650816,"threshold_uncertainty_score":0.9996743},"labels":[],"label_agreement":null},{"id":"W4403636192","doi":"10.1109/tvt.2024.3484759","title":"Channel Estimation and Pilot Design for Ambient Internet of Things With Frequency Offsets","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Channel (broadcasting); The Internet; Internet of Things; Computer science; Estimation; Computer network; Telecommunications; Electronic engineering; Electrical engineering; Engineering; Embedded system; World Wide Web; Systems engineering","score_opus":0.011943661306326517,"score_gpt":0.21884252083512643,"score_spread":0.2068988595287999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403636192","genre_codex":"methods","genre_gemma":"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":[0.008845892,0.0003919648,0.98907006,0.00012369687,0.0002193067,0.00055308815,0.000009177331,0.00077453797,0.000012266269],"genre_scores_gemma":[0.9094877,0.00004444198,0.090140425,0.0000059781773,0.0000043761897,0.00024767453,0.0000036048882,0.000038667087,0.000027082488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942744,0.000009234481,0.00018549073,0.00018771949,0.000060431867,0.00012969034],"domain_scores_gemma":[0.99971646,0.00004279123,0.00002526791,0.00014612591,0.000048477636,0.000020877591],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007281946,0.00013049692,0.00015219234,0.00039765288,0.000032402528,0.000012838422,0.00006548142,0.00012740633,0.0000030801255],"category_scores_gemma":[0.0000038962235,0.000120593475,0.000024287654,0.00030174202,0.00006135984,0.00017941209,5.7793943e-7,0.00015574049,0.0000036353333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023103763,0.000031452764,5.892101e-7,0.0002827621,0.00008891573,0.000004556994,0.00018850293,0.96179396,0.024748137,0.0009899007,0.000017845683,0.011830255],"study_design_scores_gemma":[0.00021824113,0.00046803014,6.5405914e-7,0.00021708115,0.00004034675,0.00004282963,0.00002982942,0.7807296,0.21675137,0.0013791795,0.000023466362,0.00009937565],"about_ca_topic_score_codex":0.000008371745,"about_ca_topic_score_gemma":0.0000061123815,"teacher_disagreement_score":0.90064186,"about_ca_system_score_codex":0.00006445953,"about_ca_system_score_gemma":0.000011506776,"threshold_uncertainty_score":0.49176592},"labels":[],"label_agreement":null},{"id":"W4403678738","doi":"10.1109/tcomm.2024.3485587","title":"Reconfigurable Massive MIMO: Precoding Design and Channel Estimation in the Electromagnetic Domain","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Beijing Nova Program; Beijing Municipal Natural Science Foundation; Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Government of Jiangxi Province; Deutsche Forschungsgemeinschaft; Queen's University Belfast; National Natural Science Foundation of China; Northwestern University; Beijing Institute of Technology; Royal Academy of Engineering; Northwestern Polytechnical University; Queen's University; European Commission; Tsinghua University; Chalmers Tekniska Högskola; Alexander von Humboldt-Stiftung; Natural Science Foundation of Shandong Province; Leverhulme Trust","keywords":"Precoding; Electronic engineering; MIMO; Computer science; Channel (broadcasting); Zero-forcing precoding; Engineering; Telecommunications","score_opus":0.023852624585781728,"score_gpt":0.25262624621510255,"score_spread":0.22877362162932083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403678738","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":[0.0005484436,0.0014428919,0.99386925,0.00093391846,0.00017035722,0.00060826825,0.00000965215,0.00028636277,0.0021308386],"genre_scores_gemma":[0.9506328,0.0015523497,0.04707394,0.000021239166,0.00000766228,0.0005705358,0.000008503676,0.00003140195,0.000101565325],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923176,0.00017516331,0.00022932125,0.0001371837,0.00006872274,0.00015784123],"domain_scores_gemma":[0.9987724,0.0005942747,0.000018644521,0.00056780706,0.000020454887,0.000026446603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002879272,0.00012423954,0.00010047827,0.00021593944,0.00021389511,0.000101622645,0.0002599601,0.00006546737,0.000015042458],"category_scores_gemma":[0.000005561711,0.00011504201,0.000029477458,0.00048106982,0.000046169152,0.00027955306,8.705015e-7,0.00034421156,0.00002635172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003215498,0.000025982534,1.0775491e-7,0.00004169248,0.000019613843,9.246823e-7,0.001967647,0.9852661,0.0027269106,0.00057653314,0.00011259359,0.009258683],"study_design_scores_gemma":[0.0001283719,0.000047063917,0.0000062746676,0.00015278428,0.000022962324,0.000023426232,0.0003391158,0.9937194,0.0023611656,0.0027542543,0.00032085285,0.00012430178],"about_ca_topic_score_codex":0.000014994045,"about_ca_topic_score_gemma":0.00007812798,"teacher_disagreement_score":0.9500843,"about_ca_system_score_codex":0.00011356163,"about_ca_system_score_gemma":0.000020099264,"threshold_uncertainty_score":0.46912768},"labels":[],"label_agreement":null},{"id":"W4403761236","doi":"10.1109/tvt.2024.3486360","title":"Joint AP Scheduling and Precoding in RIS-Aided Distributed MIMO Networks: A Hierarchical DRL Framework","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Government of Jiangsu Province; European Research Council; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Precoding; MIMO; Computer science; Scheduling (production processes); Joint (building); Computer network; Distributed computing; Engineering","score_opus":0.008889427972077887,"score_gpt":0.2269192225832822,"score_spread":0.2180297946112043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403761236","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07841497,0.0018129105,0.91666263,0.0003361045,0.0006371888,0.000334216,0.000017313636,0.0017657771,0.000018879615],"genre_scores_gemma":[0.96566445,0.0004772754,0.033547163,0.000012562437,0.00004231496,0.00017226624,0.00000804108,0.000066610366,0.000009315994],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986579,0.000033708362,0.0003894796,0.00039712482,0.000090404195,0.00043141938],"domain_scores_gemma":[0.9994783,0.00010655849,0.00002305748,0.00029433946,0.000024589788,0.00007316239],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016123732,0.00024128736,0.00030393488,0.000696052,0.000094723015,0.000053348183,0.00011383274,0.00052280497,0.000015030553],"category_scores_gemma":[0.000029278315,0.0002613881,0.00007031223,0.0011972414,0.000093422386,0.00015847984,0.000003249678,0.0013349007,0.00001557829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007167083,0.000025176907,0.000028662856,0.000106205436,0.00006230322,0.000060490267,0.00007678212,0.9817266,0.0025208527,0.0007390934,0.0000055633004,0.014641098],"study_design_scores_gemma":[0.00023810928,0.000044934022,0.000018920351,0.00072663155,0.00003174248,0.00009096193,0.000090601556,0.9860222,0.009871488,0.0023669132,0.00023732967,0.00026017608],"about_ca_topic_score_codex":0.000005586147,"about_ca_topic_score_gemma":0.000024478353,"teacher_disagreement_score":0.88724947,"about_ca_system_score_codex":0.0002262422,"about_ca_system_score_gemma":0.00001754743,"threshold_uncertainty_score":0.99998385},"labels":[],"label_agreement":null},{"id":"W4403917955","doi":"10.1109/twc.2024.3485128","title":"Machine-Learning-Aided TDD Massive MIMO Downlink Transmission for High-Mobility Multi-Antenna Users With Partial Uplink Channel State Information","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Telecommunications link; Computer science; MIMO; Channel state information; Transmission (telecommunications); Channel (broadcasting); Precoding; Multi-user MIMO; Computer network; Antenna (radio); Wireless; Telecommunications; Electronic engineering; Engineering","score_opus":0.017146322382694798,"score_gpt":0.24966822885215337,"score_spread":0.23252190646945858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403917955","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":[0.00242772,0.00030928763,0.99275964,0.0005777814,0.00051785284,0.0014779278,0.0004496116,0.0014403039,0.000039884642],"genre_scores_gemma":[0.9611068,0.0012934029,0.035621107,0.00002705645,0.00002053141,0.0012656805,0.0004388328,0.00009922929,0.00012738416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983937,0.0001192856,0.0006640668,0.00028877545,0.00018292338,0.00035121906],"domain_scores_gemma":[0.9981645,0.0003693669,0.00010127563,0.0009797893,0.0002344438,0.00015065938],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002348745,0.00036331062,0.00032536313,0.0003473939,0.00059259456,0.00014794555,0.0004511449,0.00018173871,0.000018245231],"category_scores_gemma":[0.000008100884,0.0003429756,0.00014682798,0.00059428613,0.00013975707,0.0011419306,0.000004333309,0.0007797897,0.00004708553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001241143,0.00013842229,0.000003354924,0.00032801446,0.00015940248,9.008178e-7,0.0018091366,0.9712884,0.0019670643,0.00021036733,0.000019573376,0.02395128],"study_design_scores_gemma":[0.0010730558,0.00013374815,0.000014878117,0.0003346916,0.00010759692,0.0000058550054,0.00023035814,0.9876745,0.008219869,0.00007097462,0.0017458727,0.00038863867],"about_ca_topic_score_codex":0.00011194687,"about_ca_topic_score_gemma":0.00022046927,"teacher_disagreement_score":0.9586791,"about_ca_system_score_codex":0.0002707043,"about_ca_system_score_gemma":0.000080799866,"threshold_uncertainty_score":0.99990225},"labels":[],"label_agreement":null},{"id":"W4403918654","doi":"10.1109/sm63044.2024.10732900","title":"Optimal V2G Commitment in Multi-unit Residential Buildings","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Alberta Energy; Hydro One (Canada)","funders":"","keywords":"Unit (ring theory); Power system simulation; Computer science; Architectural engineering; Engineering; Electric power system; Physics; Power (physics); Mathematics","score_opus":0.019254197571077634,"score_gpt":0.2715563436583419,"score_spread":0.25230214608726426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403918654","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":[0.022021966,0.00074768794,0.9726321,0.000040102528,0.00058388844,0.00021359994,0.00000268132,0.00081299385,0.0029449943],"genre_scores_gemma":[0.88137686,0.000050653318,0.116588846,0.000010002703,0.00006138719,0.00003586513,0.000009437739,0.000045929413,0.0018210437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994117,0.000010459439,0.00019930414,0.00013896934,0.000070735565,0.0001688363],"domain_scores_gemma":[0.9997998,0.000026000722,0.000006515455,0.00011996229,0.000012334785,0.000035398276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008649596,0.00010443099,0.00009968877,0.0001597025,0.000016661963,0.000057000572,0.00007692233,0.000054715998,0.0001258662],"category_scores_gemma":[0.000009256088,0.00010571293,0.000026577065,0.00022741377,0.000009495148,0.00030656447,0.000026864944,0.000120086865,0.00013048132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019197462,0.000008352286,0.00014615453,0.00006485247,0.000013267144,0.000026824437,0.00025254683,0.99337405,0.002993958,0.0012624192,0.0011050146,0.00075063825],"study_design_scores_gemma":[0.00029045838,0.000010745255,0.00016175894,0.00011455761,0.000005719507,0.00000832127,0.0001281148,0.9866078,0.004871433,0.000029862671,0.007606421,0.00016482524],"about_ca_topic_score_codex":0.00006246706,"about_ca_topic_score_gemma":0.00013928533,"teacher_disagreement_score":0.85935485,"about_ca_system_score_codex":0.000103918916,"about_ca_system_score_gemma":0.000007701432,"threshold_uncertainty_score":0.4310848},"labels":[],"label_agreement":null},{"id":"W4404057002","doi":"10.1109/jproc.2024.3484529","title":"Wireless 6G Connectivity for Massive Number of Devices and Critical Services","year":2024,"lang":"en","type":"article","venue":"Proceedings of the IEEE","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Stiftelsen för Strategisk Forskning; Canada Research Chairs; Vetenskapsrådet; Ford Otomotiv Sanayi; National Research Foundation","keywords":"Wireless; Computer science; Wireless network; Computer network; Telecommunications","score_opus":0.008205342686581024,"score_gpt":0.25797364905037856,"score_spread":0.24976830636379754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404057002","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":[0.9863184,0.00040920678,0.010893218,0.00018181003,0.00046662855,0.0002870268,0.000028575407,0.00011955778,0.0012955508],"genre_scores_gemma":[0.9974629,0.00002024268,0.0023767692,0.000005837381,0.000060359034,0.000027261514,2.6322138e-7,0.000021364585,0.000024953919],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996012,0.0000012456735,0.0001375622,0.00010231197,0.00006532902,0.00009234816],"domain_scores_gemma":[0.9996507,0.00012547741,0.00003122204,0.0000342015,0.00013940518,0.000018996372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008072686,0.00007658799,0.00013540938,0.000023002696,0.00002436839,0.000023387998,0.000089686604,0.000046763835,0.0000025146553],"category_scores_gemma":[0.000024591558,0.000059502105,0.0000328573,0.00010498561,0.000042327505,0.00027421693,0.000020347128,0.000050930597,6.6921604e-7],"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":[0.00010806401,0.00008629106,0.025296533,0.10598357,0.0004816848,9.794018e-7,0.0075178496,0.017038092,0.70668644,0.12855144,0.002150057,0.006098976],"study_design_scores_gemma":[0.00027744408,0.00003402938,0.00048780697,0.0018472301,0.00011612853,0.000019582341,0.0011259745,0.5113716,0.47521293,0.008814561,0.00045676032,0.0002359462],"about_ca_topic_score_codex":0.000006713953,"about_ca_topic_score_gemma":0.0000036803406,"teacher_disagreement_score":0.4943335,"about_ca_system_score_codex":0.000015869431,"about_ca_system_score_gemma":0.0000042539896,"threshold_uncertainty_score":0.24264254},"labels":[],"label_agreement":null},{"id":"W4404520443","doi":"10.1109/tgcn.2024.3454935","title":"Guest Editorial Special Issue on Rate-Splitting Multiple Access for Future Green Communication Networks","year":2024,"lang":"en","type":"editorial","venue":"IEEE Transactions on Green Communications and Networking","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":"McMaster University","funders":"","keywords":"Computer science; Telecommunications","score_opus":0.016892635169451754,"score_gpt":0.2750563854163353,"score_spread":0.25816375024688354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404520443","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":[0.0000025094882,0.0026862659,0.26695564,0.00022326248,0.7275339,0.0011465967,0.00041921035,0.00055130286,0.0004813184],"genre_scores_gemma":[0.0035830876,0.020780621,0.0019678336,0.000034112978,0.97045475,0.00097332353,0.0012840517,0.0003416892,0.00058050716],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99712974,0.00029109162,0.0009955581,0.0006478523,0.0003757938,0.00055996864],"domain_scores_gemma":[0.9931378,0.0036734273,0.00030649963,0.0023788076,0.00036772378,0.00013575911],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.00081381015,0.00073992077,0.00072129123,0.0003789486,0.0013061449,0.00050596194,0.0015769489,0.0014707216,0.000011470465],"category_scores_gemma":[0.000010174308,0.0008267464,0.00026171532,0.00063822785,0.00014792485,0.0004639398,0.00004983674,0.0028849172,0.000023408387],"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":[0.000118487944,0.00006531357,9.401145e-7,0.0002895467,0.00023878178,6.9732613e-7,0.00031928657,0.115871355,0.000004034068,0.000009033099,0.7797206,0.10336192],"study_design_scores_gemma":[0.0005252321,0.0000705079,2.018354e-7,0.00080971327,0.00017614634,8.9856854e-7,0.000049408245,0.3648215,0.00001022911,0.000065310654,0.6329911,0.00047976203],"about_ca_topic_score_codex":0.00027844426,"about_ca_topic_score_gemma":0.0023956003,"teacher_disagreement_score":0.26498783,"about_ca_system_score_codex":0.00040905018,"about_ca_system_score_gemma":0.000076332806,"threshold_uncertainty_score":0.99999404},"labels":[],"label_agreement":null},{"id":"W4404529510","doi":"10.1109/tnsm.2024.3502239","title":"Hypergraph Attention Recurrent Network for Cellular Traffic Prediction","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Hypergraph; Computer network; Distributed computing","score_opus":0.008352052660506046,"score_gpt":0.19897247551567226,"score_spread":0.19062042285516623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404529510","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":[0.0028994684,0.0015974862,0.98829955,0.00012926916,0.004590126,0.0009379243,0.000031146872,0.00089503493,0.0006200105],"genre_scores_gemma":[0.9800927,0.004891459,0.012455825,0.00012937191,0.0008660001,0.00082344405,0.000117223295,0.00012317352,0.00050079974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896026,0.00002259927,0.0002803696,0.0003122934,0.000112386995,0.0003120978],"domain_scores_gemma":[0.9996652,0.00003904314,0.000019985806,0.00018038215,0.000029797397,0.00006560062],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001619436,0.00020974809,0.00015257184,0.000119799515,0.00020410567,0.00008345592,0.000068215544,0.00008478207,0.000013145109],"category_scores_gemma":[1.2072222e-7,0.00022347027,0.00008904234,0.00057135447,0.0000091650545,0.00016680988,0.0000012635682,0.00013944073,0.000017244749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024067655,0.000019952056,9.702524e-7,0.00075708574,0.00016797251,0.000002328609,0.00006584287,0.9049683,0.000029798926,0.00024950266,0.0022088476,0.09150529],"study_design_scores_gemma":[0.00031634566,0.00007747703,0.000019049428,0.00041148523,0.0002214706,0.0000027226085,0.00007442352,0.97085804,0.000025657042,0.00017371366,0.027619343,0.00020025995],"about_ca_topic_score_codex":0.000001745955,"about_ca_topic_score_gemma":0.00005040993,"teacher_disagreement_score":0.97719324,"about_ca_system_score_codex":0.0000760645,"about_ca_system_score_gemma":0.0000036031774,"threshold_uncertainty_score":0.91128534},"labels":[],"label_agreement":null},{"id":"W4404628385","doi":"10.1109/ciot63799.2024.10757154","title":"Enhancing IoT Connectivity with Matching Theory-Based Spectrum Sharing for IRS-Aided Multi-Cell Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Algoma University; Wilfrid Laurier University","funders":"","keywords":"Computer science; Internet of Things; Matching (statistics); Computer network; Computer security; Mathematics","score_opus":0.01036873701541055,"score_gpt":0.22743153189619508,"score_spread":0.21706279488078453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404628385","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":[0.021653224,0.0006047463,0.9727802,0.0000149881735,0.0006982426,0.00092854904,0.000014948364,0.001913328,0.001391749],"genre_scores_gemma":[0.939716,0.0000023105933,0.0589244,0.000010062141,0.00014574315,0.00018455932,0.000016722124,0.000118091244,0.00088212197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987775,0.000026792888,0.00031162304,0.0004010979,0.000109685796,0.00037327711],"domain_scores_gemma":[0.99913603,0.00042888083,0.000039205075,0.00028800944,0.00003622824,0.00007167379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046785615,0.0002655911,0.00028376057,0.00016105275,0.00009894235,0.00021050693,0.00012662419,0.000088655805,0.00001848624],"category_scores_gemma":[0.000028429155,0.00022864145,0.00006621073,0.00022541128,0.000013392283,0.0002317294,0.000019885028,0.00016927694,0.000016693068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018502,0.000014499927,0.00002050739,0.0017369676,0.00004576657,0.00000771467,0.00026846188,0.95673835,0.027782131,0.013228334,0.000009907881,0.0001288548],"study_design_scores_gemma":[0.00050105876,0.000038739712,0.000003218129,0.0005607093,0.00003118731,0.00000924131,0.00043967046,0.90886134,0.08868109,0.0004865214,0.000073860465,0.000313343],"about_ca_topic_score_codex":0.000053711163,"about_ca_topic_score_gemma":0.00016462494,"teacher_disagreement_score":0.91806275,"about_ca_system_score_codex":0.00028302157,"about_ca_system_score_gemma":0.000033897024,"threshold_uncertainty_score":0.93237275},"labels":[],"label_agreement":null},{"id":"W4404628857","doi":"10.1109/ciot63799.2024.10757057","title":"A Deep Dive into Congestion Control and Buffer Management for Fluctuation-Prone 5G-A/6G Links","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Research and Development","keywords":"Network congestion; Computer science; Congestion management; Control (management); Computer network; Power (physics); Artificial intelligence; Physics","score_opus":0.0051166045777847405,"score_gpt":0.22134760874425813,"score_spread":0.2162310041664734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404628857","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":[0.0006450002,0.0012974638,0.99397993,0.00016762388,0.00040278185,0.00092578685,0.000004025011,0.00048222812,0.0020951363],"genre_scores_gemma":[0.9553769,0.0001034264,0.043150943,0.000044877896,0.000102943544,0.00036757867,0.000033875684,0.000035890047,0.0007835272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949205,0.000007279529,0.00016013328,0.00016462541,0.000059024715,0.00011686587],"domain_scores_gemma":[0.9997488,0.00007125024,0.000010743546,0.000091682494,0.00004172178,0.000035766356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008654386,0.00010682124,0.00010595798,0.00008283014,0.000039770464,0.000059501293,0.000032859403,0.000084412706,0.000021304297],"category_scores_gemma":[0.000015857218,0.00009982114,0.00002089892,0.000080946855,0.000011621048,0.00019091337,0.000009542796,0.00006806318,0.00002316637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023087045,0.000010003345,0.000041769476,0.0013520101,0.00026576378,0.000005211666,0.000952239,0.83688873,0.002680237,0.044077534,0.0010840662,0.11261937],"study_design_scores_gemma":[0.00054864475,0.000025625473,0.00012772543,0.000066990724,0.000055895027,0.0000021688572,0.000115232375,0.9940535,0.00027426385,0.0024357464,0.0021634581,0.0001307923],"about_ca_topic_score_codex":0.0000059389918,"about_ca_topic_score_gemma":0.000023849314,"teacher_disagreement_score":0.95473194,"about_ca_system_score_codex":0.00007721666,"about_ca_system_score_gemma":0.000002747255,"threshold_uncertainty_score":0.4070588},"labels":[],"label_agreement":null},{"id":"W4404630431","doi":"10.1016/j.pmcj.2024.101998","title":"Three-dimensional spectrum coverage gap map construction in cellular networks: A non-linear estimation approach","year":2024,"lang":"en","type":"article","venue":"Pervasive and Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"American University in Cairo","keywords":"Computer science; Estimation; Spectrum (functional analysis); Algorithm; Artificial intelligence","score_opus":0.008490049712022482,"score_gpt":0.21699121483096998,"score_spread":0.2085011651189475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404630431","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":[0.1016992,0.0025498355,0.8943434,0.00000710721,0.00059262576,0.00038793558,0.0000030303584,0.00021418079,0.00020268395],"genre_scores_gemma":[0.9482724,0.000044038356,0.051269308,0.000008429445,0.00026193747,0.00002758561,0.00007354012,0.000035834877,0.0000069231724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999162,0.000014887397,0.0002604954,0.00026807058,0.00008272386,0.00021179864],"domain_scores_gemma":[0.99972755,0.00007486042,0.000030464445,0.000102587685,0.000022330296,0.000042225707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014219372,0.00016077851,0.00018272792,0.00011776995,0.00007030644,0.00005529921,0.000042133488,0.00008207316,0.000007881422],"category_scores_gemma":[0.0000073504903,0.00017138332,0.000035020224,0.0002146788,0.000028873734,0.00018806611,0.000039623086,0.00019866793,0.000009021045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027344897,0.000008115704,0.00027340036,0.00025514804,0.00001551721,0.000016259899,0.00025348048,0.9899307,0.00039216166,0.00021019857,0.000053107346,0.008589204],"study_design_scores_gemma":[0.00021624703,0.000021687121,0.00006663667,0.00027022016,0.000010590842,0.000053211366,0.000075056676,0.99845815,0.0003040614,0.00029047384,0.00006479097,0.00016886594],"about_ca_topic_score_codex":0.00002055168,"about_ca_topic_score_gemma":0.0000079162055,"teacher_disagreement_score":0.8465732,"about_ca_system_score_codex":0.00007610575,"about_ca_system_score_gemma":0.000015416716,"threshold_uncertainty_score":0.6988809},"labels":[],"label_agreement":null},{"id":"W4404838487","doi":"10.1002/0471654507.erfme132","title":"Mobile Radio Channels","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of RF and Microwave Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Computer network","score_opus":0.002927820051142903,"score_gpt":0.1823915777441244,"score_spread":0.1794637576929815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404838487","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018036187,0.05713068,0.36352444,0.0000017123382,0.002478559,0.00071405625,0.0000691668,0.0012330809,0.57466793],"genre_scores_gemma":[0.013994803,0.07572794,0.10345392,0.000008441697,0.004036992,0.0002452896,0.0001384175,0.00287049,0.7995237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991621,0.000004057207,0.00027773215,0.00021563351,0.00007673351,0.00026374607],"domain_scores_gemma":[0.99958473,0.000018828136,0.000069272064,0.00022929399,0.00001356817,0.00008432529],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000043622134,0.00034747762,0.0004319476,0.00030332993,0.0000099460885,0.000010126039,0.00010966468,0.00027469217,0.00016147389],"category_scores_gemma":[0.000010612449,0.0003950775,0.000058159716,0.0001236173,0.000019621095,0.00006509439,0.000030438787,0.00018546166,0.000021353613],"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":[0.000004116984,0.000032792053,0.000023580842,0.0033188548,0.00036017352,0.00002079366,0.0012530811,0.69084084,0.015469422,0.00033584272,0.24113841,0.047202088],"study_design_scores_gemma":[0.0002661682,0.000024845072,0.0000025354163,0.0004554174,0.00003324778,0.000019121582,0.000021469434,0.008033794,0.001905816,0.0000028744962,0.98876035,0.00047435722],"about_ca_topic_score_codex":0.000008349935,"about_ca_topic_score_gemma":0.0000053289664,"teacher_disagreement_score":0.74762195,"about_ca_system_score_codex":0.000042179476,"about_ca_system_score_gemma":0.000009605106,"threshold_uncertainty_score":0.9998501},"labels":[],"label_agreement":null},{"id":"W4405092421","doi":"10.1145/3743688","title":"Hate or Love in the 2.4 GHz ISM Band: The Story of LoRa and IEEE 802.11g","year":2025,"lang":"en","type":"preprint","venue":"ACM Transactions on Internet of Things","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"ISM band; Physics; Electrical engineering; Telecommunications; Computer science; Engineering; Wireless","score_opus":0.01562577841002247,"score_gpt":0.24901695005039756,"score_spread":0.2333911716403751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405092421","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":[0.018417949,0.00052746467,0.9763085,0.00067706674,0.0015026553,0.0007665459,0.00008878156,0.00007973691,0.0016312833],"genre_scores_gemma":[0.99306405,0.00048209933,0.004112257,0.000097494,0.000025256131,0.00004472628,0.0000069959897,0.000031147018,0.0021359778],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988786,0.00012188171,0.0004524111,0.00023725245,0.00016818379,0.00014169396],"domain_scores_gemma":[0.9984651,0.0005369918,0.00015755829,0.00076043425,0.00006012591,0.000019793786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004288856,0.00024250877,0.00035709722,0.00023127772,0.00002979418,0.000027413747,0.0007404527,0.00022391362,0.000043278964],"category_scores_gemma":[0.000057646273,0.00016299654,0.000112940055,0.00015567231,0.0001026072,0.00015147179,0.00002273449,0.0011198198,0.00000435514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010813107,0.00005933207,0.000009042428,0.001142937,0.00023930019,0.00000304281,0.03616603,0.9541133,0.0005182855,0.000052046664,0.0006832815,0.0069052717],"study_design_scores_gemma":[0.005090036,0.00088321255,0.000514112,0.020304069,0.0014572261,0.00011790815,0.028132861,0.7786356,0.1370235,0.011103952,0.013999299,0.002738178],"about_ca_topic_score_codex":0.0003349472,"about_ca_topic_score_gemma":0.00014339793,"teacher_disagreement_score":0.9746461,"about_ca_system_score_codex":0.00009652087,"about_ca_system_score_gemma":0.000034537723,"threshold_uncertainty_score":0.6646806},"labels":[],"label_agreement":null},{"id":"W4405099405","doi":"10.22215/etd/2024-16214","title":"Indoor Wireless Coexistence Between Wi-Fi and Next-Generation Wireless Technologies","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Narrowband; Broadband; Wireless; Computer science; Robustness (evolution); Computer network; Network packet; Wireless broadband; Radio spectrum; Broadband networks; Telecommunications; Gaussian; Wireless network; Electronic engineering; Engineering; Physics","score_opus":0.027747292052407405,"score_gpt":0.25544599172174454,"score_spread":0.22769869966933715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405099405","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":[0.87056947,0.011973975,0.08629283,0.00013463202,0.0042685997,0.002086178,0.00014913388,0.010577277,0.013947907],"genre_scores_gemma":[0.98921764,0.0012257539,0.002599512,0.0000050833323,0.00025374588,0.00018792163,0.0020440447,0.00016775259,0.004298572],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857825,0.000013705066,0.00047743696,0.0004730774,0.00018830513,0.00026919998],"domain_scores_gemma":[0.9994032,0.00004622096,0.00009600943,0.000308355,0.000100776466,0.000045472254],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008153219,0.00043326645,0.00047348827,0.0003169388,0.00008556395,0.00020988786,0.00019712475,0.00070488796,0.000009343018],"category_scores_gemma":[0.000022869028,0.00043242943,0.000052063362,0.00037555123,0.0000389119,0.00039889102,0.000033049393,0.00045505184,0.000049470942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049405335,0.000057696445,0.0009208899,0.017474782,0.0012482685,0.000093794326,0.012268076,0.041934453,0.29281628,0.015053366,0.010549737,0.6075332],"study_design_scores_gemma":[0.0009320745,0.00017514835,0.00033689087,0.0035130703,0.0006387576,0.000036350826,0.02134194,0.65133685,0.310703,0.001258283,0.0057913004,0.0039363145],"about_ca_topic_score_codex":0.000027741286,"about_ca_topic_score_gemma":0.00029398652,"teacher_disagreement_score":0.6094024,"about_ca_system_score_codex":0.00013686936,"about_ca_system_score_gemma":0.000030721105,"threshold_uncertainty_score":0.9998127},"labels":[],"label_agreement":null},{"id":"W4405179063","doi":"10.1109/ojcoms.2024.3512662","title":"Manifold-Based Optimizations for RIS-Aided Massive MIMO Systems","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer science; Manifold (fluid mechanics); MIMO; Engineering; Mechanical engineering; Telecommunications; Beamforming","score_opus":0.04464073040392446,"score_gpt":0.30868995314093095,"score_spread":0.2640492227370065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405179063","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":[0.00013932519,0.0053124116,0.98765475,0.0022929416,0.001909396,0.0010953051,0.00008905501,0.000095377545,0.0014114556],"genre_scores_gemma":[0.7251711,0.0010434546,0.27214208,0.00009653278,0.0001960391,0.00022260624,0.000024122579,0.00010322806,0.0010008583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887645,0.00012343751,0.0006037979,0.000097392505,0.00013842355,0.00016049063],"domain_scores_gemma":[0.9977467,0.00045099753,0.00023387755,0.001116803,0.0003907118,0.00006089318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006157334,0.00014645472,0.00024440725,0.000054458345,0.00040149345,0.00040159284,0.002329674,0.00009246323,0.000008398741],"category_scores_gemma":[0.00006226506,0.00011462824,0.0003343925,0.0004507303,0.0000630386,0.0005484602,0.00014775294,0.00033843276,0.0000066570237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029786797,0.000022868353,0.0000083407795,0.00010946743,0.0001879695,3.0259145e-7,0.00046315833,0.9595952,0.0008416784,0.002010037,0.036622107,0.00013586086],"study_design_scores_gemma":[0.00042662662,0.000020887222,0.0000051920097,0.00057458354,0.0001299976,0.000025501102,0.0006856451,0.9684574,0.0006152404,0.0002775252,0.028640825,0.0001405647],"about_ca_topic_score_codex":0.000009840454,"about_ca_topic_score_gemma":0.000007931718,"teacher_disagreement_score":0.72503173,"about_ca_system_score_codex":0.00034438458,"about_ca_system_score_gemma":0.0001803597,"threshold_uncertainty_score":0.46744037},"labels":[],"label_agreement":null},{"id":"W4405180667","doi":"10.1109/jstsp.2024.3511403","title":"Signal Processing and Learning for Next Generation Multiple Access in 6G","year":2024,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Signal processing; Artificial intelligence; SIGNAL (programming language); Telecommunications; Radar","score_opus":0.03740119847410139,"score_gpt":0.2886143616873036,"score_spread":0.2512131632132022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405180667","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":[0.24335416,0.006723747,0.7494052,0.000041184147,0.0001735778,0.00018734188,6.03971e-7,0.00006974001,0.000044448007],"genre_scores_gemma":[0.9843421,0.00012033343,0.014590932,0.000010940892,0.00083562575,0.000015243781,0.0000041643452,0.00004897791,0.00003168809],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986963,0.00005027762,0.00065663207,0.00017722789,0.00016469175,0.00025483896],"domain_scores_gemma":[0.999366,0.00011800627,0.00014951073,0.000030894833,0.0002833425,0.000052244763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004268233,0.00016929567,0.0002673948,0.00048955035,0.00009581493,0.00045928557,0.0001197605,0.00012971647,0.0000037087675],"category_scores_gemma":[0.000080492995,0.00016947147,0.000029798372,0.0007803995,0.000020332644,0.0018844142,0.000010950857,0.0006487981,2.2897207e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021126598,0.00001342131,0.0011768499,0.0008121981,0.000009751937,0.000019477957,0.0010362577,0.71760374,0.09558547,0.000003398439,0.000020205647,0.18369807],"study_design_scores_gemma":[0.0005270657,0.00006440886,0.00017302317,0.0012592239,0.000015863068,0.00007359719,0.0001281571,0.98281515,0.014366339,0.00017989276,0.00021909489,0.0001781976],"about_ca_topic_score_codex":0.0000040784757,"about_ca_topic_score_gemma":0.000037335514,"teacher_disagreement_score":0.74098796,"about_ca_system_score_codex":0.00022164502,"about_ca_system_score_gemma":0.00016814051,"threshold_uncertainty_score":0.6910846},"labels":[],"label_agreement":null},{"id":"W4405440032","doi":"10.1109/ojvt.2024.3517580","title":"Improved Coverage of Massive MIMO HetNets Modeled Using Stochastic Geometry Techniques","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Telus (Canada); University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stochastic geometry; MIMO; Computer science; Geometry; Mathematical optimization; Applied mathematics; Mathematics; Statistics; Computer network","score_opus":0.012090528656882073,"score_gpt":0.26832162852870006,"score_spread":0.25623109987181797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405440032","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":[0.101670146,0.0027021868,0.894362,0.00007209299,0.00049436564,0.0004115352,0.0000110453775,0.00018489994,0.00009176929],"genre_scores_gemma":[0.9446698,0.00012542335,0.055028863,0.0000062911945,0.00006608101,0.000012673037,0.0000015116539,0.00006859849,0.000020769427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986932,0.000027645181,0.0007161674,0.00017449517,0.00014690401,0.0002415665],"domain_scores_gemma":[0.9990886,0.000042535965,0.0002669067,0.00028468115,0.00026406685,0.00005324518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028631918,0.00020658076,0.0005438826,0.0009723752,0.00003603484,0.00006027715,0.0005726663,0.0003180487,0.000015474727],"category_scores_gemma":[0.00006975753,0.00019339047,0.00010980982,0.0008094514,0.00007310705,0.00051087426,0.00009167807,0.00050827087,0.000002247141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013035533,0.000016102536,0.0000039925426,0.00010033837,0.00014756872,0.00010222102,0.000026540773,0.6334844,0.3604157,0.00029072617,0.000036510228,0.0053628464],"study_design_scores_gemma":[0.0003473162,0.00019606251,6.7483563e-7,0.0006726279,0.0000901681,0.00065681164,0.00006351784,0.69748163,0.29818285,0.001982941,0.00013037678,0.00019502417],"about_ca_topic_score_codex":0.000006973636,"about_ca_topic_score_gemma":0.0000018908559,"teacher_disagreement_score":0.84299964,"about_ca_system_score_codex":0.00022078186,"about_ca_system_score_gemma":0.00008838415,"threshold_uncertainty_score":0.78862345},"labels":[],"label_agreement":null},{"id":"W4405812078","doi":"10.1109/tmc.2024.3522207","title":"Resource Allocation for the Uplink of a Multi-User Massive MIMO System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; MIMO; Computer network; Resource allocation; Multi-user MIMO; Channel (broadcasting)","score_opus":0.01311476158237268,"score_gpt":0.24814977630535676,"score_spread":0.23503501472298408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405812078","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":[0.0011571575,0.0007190545,0.99511147,0.00002109051,0.0012036827,0.0010178296,0.000022005614,0.00067999813,0.00006774289],"genre_scores_gemma":[0.9838773,0.00001602626,0.015478092,0.000005380418,0.000092056085,0.000247102,0.000004424573,0.00006497056,0.00021465129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991764,0.000024789928,0.00034431188,0.0001978123,0.00008771534,0.00016898259],"domain_scores_gemma":[0.9991042,0.0005035139,0.000045809084,0.00024143487,0.0000755449,0.00002946742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018779418,0.0001451117,0.00015800913,0.00011933989,0.00015059038,0.000036930178,0.0001237967,0.000066642475,0.0000033573815],"category_scores_gemma":[0.0000038882235,0.00012382827,0.000112993635,0.000289077,0.000023688015,0.00008442371,0.0000010036492,0.0001687581,0.000011402253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006028766,0.000013465554,3.2787148e-7,0.00055016275,0.00007278286,7.401193e-7,0.0006583768,0.96884865,0.002796999,0.00015491858,0.00006201868,0.026835548],"study_design_scores_gemma":[0.00022075002,0.00003494039,0.00000126039,0.00046203588,0.000054505606,0.0000075328203,0.0008244608,0.9776068,0.018989319,0.0000013885001,0.0016843769,0.00011264265],"about_ca_topic_score_codex":0.0000068879262,"about_ca_topic_score_gemma":0.0000048468164,"teacher_disagreement_score":0.98272014,"about_ca_system_score_codex":0.00015638456,"about_ca_system_score_gemma":0.000016393386,"threshold_uncertainty_score":0.504957},"labels":[],"label_agreement":null},{"id":"W4405908128","doi":"10.1109/tce.2024.3520220","title":"A Novel DRT-Assisted Deep Learning-Based Channel Feedback Mechanism for Massive MIMO","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; MIMO; Mechanism (biology); Channel (broadcasting); Electronic engineering; Electrical engineering; Telecommunications; Engineering; Physics","score_opus":0.011911298531039081,"score_gpt":0.23102974285010036,"score_spread":0.21911844431906127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405908128","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":[0.00028119597,0.0015110064,0.99428165,0.00014691128,0.0013535514,0.00078797387,0.00008270751,0.0014448377,0.00011017755],"genre_scores_gemma":[0.98786986,0.00031140153,0.009985663,0.00006041432,0.000055797336,0.0007243573,0.00004050324,0.00021806103,0.0007339421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99843657,0.000027366708,0.0003502891,0.00042005684,0.00016593162,0.00059980224],"domain_scores_gemma":[0.99919164,0.00024461417,0.000044571436,0.00025543186,0.00015579416,0.00010793807],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010819147,0.00035502293,0.00028505395,0.00031757957,0.00021348038,0.0000927589,0.000138814,0.00023567183,0.000041246312],"category_scores_gemma":[0.000010591818,0.00039841887,0.00021142443,0.0004928284,0.000032766082,0.00018828556,5.941513e-7,0.00060596585,0.00008153904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004366876,0.000063233136,7.238265e-8,0.00024042698,0.00024955385,0.0000030218466,0.00010572038,0.96119684,0.024762847,0.0006978846,0.00006889226,0.012567845],"study_design_scores_gemma":[0.00089158857,0.0001750413,3.9640219e-7,0.00011954354,0.00016840186,0.000019990706,0.00004618691,0.9065941,0.08846604,0.00024177035,0.0028840224,0.00039293797],"about_ca_topic_score_codex":0.000007681314,"about_ca_topic_score_gemma":0.00018809635,"teacher_disagreement_score":0.98758864,"about_ca_system_score_codex":0.0005266259,"about_ca_system_score_gemma":0.00014014675,"threshold_uncertainty_score":0.99984676},"labels":[],"label_agreement":null},{"id":"W4405909019","doi":"10.1109/wf-iot62078.2024.10811261","title":"Radio Resource Management in Downlink Multi-band mMIMO Systems","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Telecommunications link; Resource management (computing); Radio resource management; Computer network; Telecommunications; Wireless; Wireless network","score_opus":0.009760510738150369,"score_gpt":0.22455997521298648,"score_spread":0.2147994644748361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405909019","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":[0.00067394844,0.0055191047,0.9243613,0.000027170769,0.00079024414,0.00056310237,0.0000042096162,0.0012422935,0.06681864],"genre_scores_gemma":[0.97596824,0.00020767665,0.013722077,0.000010543561,0.00012536753,0.00012237488,0.000019357623,0.00007509894,0.0097492505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927217,0.000016448848,0.00025538498,0.00018641783,0.00008079177,0.0001887646],"domain_scores_gemma":[0.9997303,0.000025186158,0.000008231834,0.00018974682,0.000008058029,0.000038464474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001301271,0.0001237715,0.00012903535,0.00020477275,0.000014865378,0.000081615035,0.00008266525,0.000058837973,0.000018908315],"category_scores_gemma":[0.000003396595,0.00011654198,0.000024899415,0.00030574502,0.000007237938,0.00015408036,0.000013169328,0.000102040794,0.00014347836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013490057,0.0000062911504,0.000025230882,0.0005274756,0.000033619315,0.000058195972,0.00016985912,0.99053663,0.0002544188,0.003682634,0.0019150552,0.002789219],"study_design_scores_gemma":[0.00023901863,0.0000053186654,0.00003859193,0.0002654377,0.0000090470785,0.0000108780805,0.00037878056,0.9575269,0.0002859963,0.000019829311,0.041040517,0.00017964811],"about_ca_topic_score_codex":0.000021180953,"about_ca_topic_score_gemma":0.000019205889,"teacher_disagreement_score":0.9752943,"about_ca_system_score_codex":0.00017188951,"about_ca_system_score_gemma":0.0000026781095,"threshold_uncertainty_score":0.4752444},"labels":[],"label_agreement":null},{"id":"W4406094855","doi":"10.23919/emc.2010.10826280","title":"Statistical Properties of Electromagnetic Environment in Wireless Networks, Intra-Network Electromagnetic Compatibility and Safety","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electromagnetic compatibility; Wireless; Computer science; Electromagnetic environment; Compatibility (geochemistry); Electromagnetic interference; Wireless network; Computer network; Telecommunications; Electronic engineering; Engineering","score_opus":0.003984773157700274,"score_gpt":0.17509771549147315,"score_spread":0.1711129423337729,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406094855","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":[0.7593139,0.00047998573,0.23907468,0.000014633193,0.00009492799,0.00046921155,0.0000027502397,0.00008915973,0.0004608061],"genre_scores_gemma":[0.9766303,0.00028428243,0.0229451,0.0000062610898,0.000044290326,0.000029247409,0.000010483307,0.000028349838,0.000021727865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988264,0.000052220108,0.00045195644,0.00021765729,0.000099856356,0.00035190643],"domain_scores_gemma":[0.99957407,0.00007353609,0.000038650593,0.00022824274,0.000014991717,0.00007050402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019675895,0.00017134448,0.00029412808,0.000039744373,0.000028491171,0.000011599099,0.000082120845,0.0000971431,0.0001015441],"category_scores_gemma":[0.000018215254,0.00015960059,0.000014347334,0.00012321002,0.00012504721,0.00007690855,0.00002699913,0.00029069016,0.000002435057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010411134,0.00009431175,0.007963979,0.0002628621,0.000024590325,0.0000031265026,0.00015298722,0.7179824,0.2575556,0.0055591557,0.00007879832,0.010218058],"study_design_scores_gemma":[0.00057129585,0.00023042386,0.026002718,0.00004472715,0.000014365099,0.000011337366,0.000018302599,0.96675575,0.0055691674,0.0004709705,0.00003933434,0.0002715904],"about_ca_topic_score_codex":0.000040514227,"about_ca_topic_score_gemma":0.0003852134,"teacher_disagreement_score":0.25198644,"about_ca_system_score_codex":0.000054330867,"about_ca_system_score_gemma":0.000011474251,"threshold_uncertainty_score":0.6508323},"labels":[],"label_agreement":null},{"id":"W4406130581","doi":"10.18280/jesa.570613","title":"Performance Enchantment of Power Allocation for MIMO Non-Orthogonal Multiple Access Network","year":2024,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"MIMO; Computer science; Power (physics); Computer network; Physics; Channel (broadcasting)","score_opus":0.01766672410558857,"score_gpt":0.2654684865493321,"score_spread":0.24780176244374352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406130581","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":[0.06573026,0.034033895,0.88872284,0.00023320636,0.008307441,0.0011414503,0.00010765597,0.00029160432,0.0014316307],"genre_scores_gemma":[0.9126631,0.0026809478,0.08043839,0.000021185486,0.0014882371,0.00009328668,0.000043457432,0.00020817334,0.002363193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99689573,0.00014454014,0.0014380408,0.00036161268,0.00041452853,0.00074555073],"domain_scores_gemma":[0.9981996,0.00038614834,0.00047479398,0.0003102415,0.00040957684,0.00021968507],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00093095057,0.0004640572,0.0006134332,0.00030463957,0.00029365782,0.00042863903,0.00042836045,0.000224148,0.000174434],"category_scores_gemma":[0.00013424599,0.00046653178,0.00030317236,0.0006172926,0.00011114842,0.0018321137,0.000102175065,0.00041528596,0.000070142974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003095062,0.00005502583,0.0012202783,0.0050973697,0.0003920778,0.00003337981,0.00092414126,0.8019244,0.0010975888,0.001264867,0.0072166244,0.18074329],"study_design_scores_gemma":[0.0006184932,0.00033696825,0.024998084,0.0076282606,0.00019449707,0.0006831095,0.0000724419,0.9543872,0.0011604439,0.0008313594,0.008651251,0.00043788383],"about_ca_topic_score_codex":0.000015635105,"about_ca_topic_score_gemma":0.000014871936,"teacher_disagreement_score":0.8469329,"about_ca_system_score_codex":0.00075448904,"about_ca_system_score_gemma":0.00024322332,"threshold_uncertainty_score":0.9997786},"labels":[],"label_agreement":null},{"id":"W4406266773","doi":"10.1109/vtc2024-fall63153.2024.10757718","title":"Towards Flexible Spectrum Access: Data-Driven Insights into Spectrum Demand","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Communications Research Centre Canada","funders":"","keywords":"Computer science; Spectrum (functional analysis); Physics","score_opus":0.024787570731017405,"score_gpt":0.28571024222774205,"score_spread":0.26092267149672466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406266773","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":[0.0011366179,0.0032160347,0.950882,0.00030557124,0.0013330942,0.0002605265,0.0000110930405,0.0024718358,0.040383223],"genre_scores_gemma":[0.9816436,0.0007042608,0.015036161,0.00004178221,0.00058847497,0.000022469785,0.00017155295,0.000107931046,0.0016837784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988462,0.0000152380135,0.00029162853,0.00041375324,0.00015519264,0.00027800383],"domain_scores_gemma":[0.999149,0.000029950495,0.000017335651,0.0006971372,0.000012843449,0.00009369686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007818021,0.00022009194,0.00021286042,0.00022433083,0.000057426736,0.00030101748,0.0005781075,0.00009137135,0.00036323405],"category_scores_gemma":[0.0000148128975,0.00019471678,0.000035993442,0.0005278829,0.000023045803,0.001683015,0.00027350165,0.00017467793,0.0003994467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051309557,0.000015414353,0.000049153095,0.0005361907,0.00015184378,0.000062006045,0.0006149469,0.95907706,0.0011488353,0.01820069,0.017239185,0.0028995604],"study_design_scores_gemma":[0.00013687492,0.000019914633,0.000052864085,0.000111794245,0.000025948151,0.00001433791,0.00003503527,0.92570007,0.016128227,0.011648168,0.045803793,0.00032299952],"about_ca_topic_score_codex":0.00010400917,"about_ca_topic_score_gemma":0.0004371144,"teacher_disagreement_score":0.98050696,"about_ca_system_score_codex":0.00017033247,"about_ca_system_score_gemma":0.00004475017,"threshold_uncertainty_score":0.794032},"labels":[],"label_agreement":null},{"id":"W4406371167","doi":"10.3390/computers14010023","title":"Adaptive Handover Management in High-Mobility Networks for Smart Cities","year":2025,"lang":"en","type":"article","venue":"Computers","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Mehran University of Engineering and Technology; Mitacs","keywords":"Handover; Computer science; Mobility management; Computer network; Real-time computing; Soft handover; Latency (audio); Cellular network; User equipment; Low latency (capital markets); Offset (computer science); Base station; Telecommunications","score_opus":0.007714344136486821,"score_gpt":0.20947149210517912,"score_spread":0.2017571479686923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406371167","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":[0.0020280688,0.00018918778,0.99442184,0.000017290793,0.0012424546,0.0005211766,0.0000026523655,0.0001507052,0.0014266479],"genre_scores_gemma":[0.9370421,0.000028678183,0.06235511,0.00006808509,0.000043239652,0.00014419759,0.000014657063,0.000014003208,0.0002899162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953765,0.000010678677,0.00014932061,0.00013120007,0.000028547358,0.0001425992],"domain_scores_gemma":[0.9997476,0.00007107096,0.000013412587,0.00013600799,0.00001742151,0.000014485543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006861083,0.00008658055,0.00012465483,0.000083785344,0.000023030585,0.000015284128,0.00007839971,0.000037605205,0.0000014464223],"category_scores_gemma":[0.000002648436,0.00009789913,0.000026655913,0.0001431878,0.000014378036,0.00007269526,0.000034854856,0.00004915687,0.0000011681849],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013338349,0.000006710208,0.00015392751,0.000077248325,0.000034127184,9.873296e-7,0.000051893396,0.98514265,0.0000011479619,0.004739392,0.002496971,0.00728161],"study_design_scores_gemma":[0.0006658793,0.000010139542,0.001588973,0.00009808346,0.0000071334675,1.2029778e-7,0.00005999957,0.9954976,0.000027131066,0.00097084424,0.0009844817,0.00008965014],"about_ca_topic_score_codex":0.0000072522853,"about_ca_topic_score_gemma":0.000018605688,"teacher_disagreement_score":0.93501407,"about_ca_system_score_codex":0.00014192442,"about_ca_system_score_gemma":0.0000030461142,"threshold_uncertainty_score":0.39922106},"labels":[],"label_agreement":null},{"id":"W4406417209","doi":"10.1109/tcomm.2025.3529659","title":"Joint Interference Management and Traffic Offloading in Integrated Terrestrial and Non-Terrestrial Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Interference (communication); Joint (building); Computer science; Computer network; Telecommunications; Engineering","score_opus":0.020545441888456365,"score_gpt":0.2503002576300801,"score_spread":0.22975481574162376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406417209","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":[0.015113012,0.0003530623,0.9820593,0.000116404815,0.00057144713,0.0004975339,0.000006608732,0.00016190017,0.0011207222],"genre_scores_gemma":[0.99192744,0.0021420647,0.0056000133,0.000013429567,0.000011659979,0.00017110984,0.0000107165815,0.00001732675,0.00010622123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992216,0.00006806961,0.00035238828,0.00016740647,0.000040302715,0.00015021826],"domain_scores_gemma":[0.99925303,0.00012708882,0.00003056079,0.0005395924,0.000008996642,0.000040732575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112555004,0.00015111518,0.0001817837,0.00035710132,0.0001481296,0.00005809054,0.0002081813,0.000089204754,0.0000033011236],"category_scores_gemma":[0.000003467807,0.00016769921,0.000028446339,0.00043428122,0.000079616686,0.00015224442,0.000007489083,0.0003855301,0.0000018766801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003123227,0.000053621534,0.000010729116,0.000021070511,0.000051392995,8.2271293e-7,0.00024091448,0.9319097,0.00011822677,0.00005498178,0.00006054628,0.06744678],"study_design_scores_gemma":[0.0010278726,0.000024147863,0.00013452712,0.00041073217,0.00003604474,0.00000240329,0.00028761328,0.9973845,0.00019184293,0.0000405247,0.0003203272,0.00013950079],"about_ca_topic_score_codex":0.000042445783,"about_ca_topic_score_gemma":0.0006279133,"teacher_disagreement_score":0.97681445,"about_ca_system_score_codex":0.00011983443,"about_ca_system_score_gemma":0.000012469792,"threshold_uncertainty_score":0.6838575},"labels":[],"label_agreement":null},{"id":"W4406458001","doi":"10.23919/emc.2002.10842548","title":"Modelung and Numerical Simulation of Multiplicative Interferences in Wireless Channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Wireless; Multiplicative function; Computer network; Telecommunications; Mathematics","score_opus":0.02181842564136471,"score_gpt":0.24248460795841975,"score_spread":0.22066618231705504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406458001","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":[0.10283992,0.00008170607,0.8957443,0.0000059011377,0.000027192767,0.00010535184,8.7265397e-7,0.00005201374,0.0011426982],"genre_scores_gemma":[0.9968979,0.000022403128,0.0030117866,0.0000018904148,0.0000080447335,0.000010784911,0.0000010791597,0.000007937291,0.00003817879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996756,0.000008439759,0.00014539102,0.00007581856,0.00003130561,0.00006348099],"domain_scores_gemma":[0.9998413,0.000049376486,0.000019729996,0.000054107255,0.000019290565,0.000016235439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000020785268,0.00005486432,0.00010086633,0.00005408781,0.0000058800742,0.000003857527,0.000028389157,0.00003124327,0.000017911116],"category_scores_gemma":[0.0000074224054,0.00005200061,0.0000069278053,0.00010488538,0.000011184563,0.00013514985,0.000009220772,0.00003523703,0.0000021241458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013952143,0.000007244683,0.0005648419,0.000019047184,0.0000027901015,1.0736721e-7,0.0007769619,0.9941934,0.0010152446,0.00013951659,0.0000020657485,0.003277383],"study_design_scores_gemma":[0.00013183615,0.0000096278845,0.00009382798,0.000025314866,9.533955e-7,2.882382e-7,0.00009791173,0.996853,0.002671873,0.000059340655,0.000001913715,0.00005410395],"about_ca_topic_score_codex":0.000011468175,"about_ca_topic_score_gemma":0.0000035375272,"teacher_disagreement_score":0.894058,"about_ca_system_score_codex":0.000018180092,"about_ca_system_score_gemma":4.839355e-7,"threshold_uncertainty_score":0.21205233},"labels":[],"label_agreement":null},{"id":"W4406459220","doi":"10.23919/emc.2002.10842396","title":"Modelling and Numerical Simulation of Multiplicative Interferences in Wireless Channels","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Wireless; Multiplicative function; Channel (broadcasting); Computer network; Electronic engineering; Telecommunications; Engineering; Mathematics","score_opus":0.03115950280700737,"score_gpt":0.24325853737660721,"score_spread":0.21209903456959983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406459220","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":[0.09266998,0.000083465166,0.9063802,0.000003912965,0.000025850708,0.00008988403,6.2199626e-7,0.00004704457,0.0006990423],"genre_scores_gemma":[0.9931525,0.00003285897,0.006760829,0.0000012710344,0.0000086621085,0.0000079367255,9.230761e-7,0.000007918664,0.000027112039],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999678,0.0000075864223,0.00014789499,0.000074445976,0.00002999345,0.00006204204],"domain_scores_gemma":[0.9998422,0.00005461189,0.00002003797,0.00004880148,0.000019181838,0.000015125347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000022179322,0.000052973217,0.000097607975,0.000053609387,0.0000062524286,0.0000039676574,0.000025963478,0.000030215231,0.000013832248],"category_scores_gemma":[0.0000043108735,0.00005088909,0.0000067764554,0.000100782185,0.000010047789,0.000121335404,0.0000072325397,0.00003628723,0.000002045381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012380754,0.000006289885,0.00022555939,0.00001814322,0.000002364987,9.24569e-8,0.0008473365,0.99682474,0.00026854462,0.00009505483,8.249869e-7,0.0017098334],"study_design_scores_gemma":[0.000111264504,0.000008452189,0.000009452382,0.000029355315,8.675632e-7,2.2696122e-7,0.000104730505,0.99761474,0.0019965877,0.000069359245,0.0000022282643,0.000052727755],"about_ca_topic_score_codex":0.000016159442,"about_ca_topic_score_gemma":0.0000015764397,"teacher_disagreement_score":0.90048254,"about_ca_system_score_codex":0.000015079767,"about_ca_system_score_gemma":4.2106169e-7,"threshold_uncertainty_score":0.2075197},"labels":[],"label_agreement":null},{"id":"W4406745049","doi":"10.1109/icc52391.2025.11161976","title":"Energy Efficiency Maximization with SIC Power Aware Hybrid SDMA/NOMA Scheme","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Maximization; Computer science; Scheme (mathematics); Noma; Energy (signal processing); Power (physics); Efficient energy use; Electronic engineering; Computer network; Mathematical optimization; Electrical engineering; Physics; Telecommunications link; Mathematics; Engineering","score_opus":0.002966985608550418,"score_gpt":0.18510298756144766,"score_spread":0.18213600195289725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406745049","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":[0.004109991,0.0001763167,0.9505836,0.00003172343,0.00023197156,0.00012156517,0.0000028373336,0.0006505997,0.044091415],"genre_scores_gemma":[0.98178357,0.000017951987,0.013691592,0.000068011745,0.000020587231,0.000030293186,0.00003312078,0.000036690722,0.0043181865],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993151,0.000009810041,0.0001903677,0.00019311733,0.00009292052,0.00019869646],"domain_scores_gemma":[0.99958277,0.0000190073,0.00002559629,0.0002513046,0.00008388162,0.00003747133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033096,0.00015419148,0.0001375813,0.00014561223,0.000055584205,0.00002915464,0.000101207166,0.000044841752,0.00011666661],"category_scores_gemma":[0.0000097574375,0.00013810021,0.000023070343,0.00041462248,0.000017583363,0.00019574778,0.000021206688,0.00005651406,0.000017699072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007292008,0.000019058474,0.00033031698,0.00004600619,0.000026170415,0.000005113565,0.000034494053,0.98937833,0.0008409807,0.0067969924,0.0013471297,0.0011680976],"study_design_scores_gemma":[0.00053674926,0.000036828467,0.00009368659,0.0000939338,0.000011866359,0.0000104428145,0.0000856956,0.97612566,0.017089477,0.00012550167,0.0054983767,0.00029180627],"about_ca_topic_score_codex":0.00001673541,"about_ca_topic_score_gemma":0.000019140227,"teacher_disagreement_score":0.9776736,"about_ca_system_score_codex":0.00009440942,"about_ca_system_score_gemma":0.000025676516,"threshold_uncertainty_score":0.5631563},"labels":[],"label_agreement":null},{"id":"W4406803321","doi":"10.18280/mmep.120132","title":"Deep Learning-Based Pilot Allocation for Optimized Channel Estimation and Pilot Contamination Reduction in Massive MIMO-OFDM Systems","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reduction (mathematics); Contamination; Channel (broadcasting); Orthogonal frequency-division multiplexing; MIMO; Computer science; Real-time computing; Environmental science; Telecommunications; Mathematics; Biology","score_opus":0.017354661831973688,"score_gpt":0.22090906566229745,"score_spread":0.20355440383032378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406803321","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":[0.005522711,0.0007583374,0.9919117,0.000049834656,0.00019520405,0.0011361693,0.0000014562269,0.00036650474,0.00005805394],"genre_scores_gemma":[0.90628636,0.000088952766,0.09280016,0.0000019394333,0.00002358925,0.0006516561,0.000039178183,0.000045710454,0.00006246036],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99894243,0.000022726905,0.0004632991,0.00024970918,0.00008848033,0.00023333619],"domain_scores_gemma":[0.9994983,0.00019461197,0.00006311246,0.00010915729,0.000082102604,0.000052725034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036973236,0.00021825991,0.00031174876,0.00029697007,0.00007224416,0.00008363585,0.000046722856,0.00009965378,5.4508877e-7],"category_scores_gemma":[0.000100989106,0.0002373494,0.000020391719,0.00020412306,0.0000191817,0.00020797807,0.000010279077,0.00016105374,9.3538466e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024554418,0.000033285934,0.0000012717414,0.0028448224,0.00001884283,1.7988903e-7,0.00028211295,0.9912403,0.0007722684,0.0043543247,0.0000020497287,0.00042598468],"study_design_scores_gemma":[0.0011352972,0.00011779151,0.0000029945504,0.0010612074,0.000031867407,0.0000034422485,0.000076696386,0.99488646,0.00028919333,0.0021752215,0.000008201964,0.00021161394],"about_ca_topic_score_codex":0.000010049069,"about_ca_topic_score_gemma":9.170578e-7,"teacher_disagreement_score":0.90076363,"about_ca_system_score_codex":0.00013068454,"about_ca_system_score_gemma":0.000008752759,"threshold_uncertainty_score":0.9678828},"labels":[],"label_agreement":null},{"id":"W4406803354","doi":"10.1049/ntw2.12140","title":"Priority‐based resource optimisation and user association in integrated networks","year":2025,"lang":"en","type":"article","venue":"IET Networks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Association (psychology); Computer science; Resource (disambiguation); Computer network; Psychology","score_opus":0.003801149647632001,"score_gpt":0.20565697665001334,"score_spread":0.20185582700238133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406803354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006534693,0.0009011497,0.989519,0.0000864876,0.00043353823,0.00033689637,0.000001721302,0.00031477617,0.0018717304],"genre_scores_gemma":[0.9933324,0.00014257604,0.005513889,0.00013693955,0.00011952453,0.00004748363,0.00009787426,0.000033173725,0.00057615794],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991066,0.00007691775,0.00029877014,0.00018882776,0.00007537328,0.0002534979],"domain_scores_gemma":[0.9995085,0.00018047674,0.00006410602,0.00016006875,0.000051304298,0.000035539746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033016983,0.00014990434,0.00019237137,0.00013662592,0.00004617803,0.00005659945,0.000071016555,0.0002902722,0.0000064824467],"category_scores_gemma":[0.0000677657,0.00016981871,0.000024120112,0.0006225031,0.000011562852,0.00015189806,0.000018018607,0.00032646643,0.000001200815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013000217,0.0000075172,0.012891352,0.000017774788,0.000014738561,0.0000010729225,0.00003509929,0.97930586,0.000013275111,0.00008736232,0.0029180378,0.004694915],"study_design_scores_gemma":[0.00054606097,0.000007377995,0.0037850265,0.0001623674,0.000012484579,2.8157152e-7,0.000033011493,0.99000466,0.000026412372,0.000024779132,0.005259475,0.00013805351],"about_ca_topic_score_codex":0.000021833855,"about_ca_topic_score_gemma":0.00012980668,"teacher_disagreement_score":0.9867977,"about_ca_system_score_codex":0.0004387272,"about_ca_system_score_gemma":0.000015843169,"threshold_uncertainty_score":0.6925006},"labels":[],"label_agreement":null},{"id":"W4406921707","doi":"10.1109/comst.2025.3535554","title":"Generative AI for the Optimization of Next-Generation Wireless Networks: Basics, State-of-the-Art, and Open Challenges","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Generative grammar; Computer science; State (computer science); Wireless network; Wireless; Artificial intelligence; Data science; Telecommunications; Programming language","score_opus":0.08277605896935288,"score_gpt":0.3119324589873049,"score_spread":0.229156400017952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406921707","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":[0.00025865674,0.0071081677,0.9876854,0.0007516967,0.0020708877,0.0016921061,0.00007286429,0.00004263821,0.0003176148],"genre_scores_gemma":[0.9419628,0.02101404,0.03543203,0.000048170314,0.0002362526,0.00077533815,0.00016617554,0.000053319745,0.00031189487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981065,0.00091521954,0.0006064127,0.00015622968,0.000086831526,0.00012880599],"domain_scores_gemma":[0.9966004,0.0012932082,0.0002479881,0.0013231204,0.00051474175,0.000020541069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020066814,0.0001503226,0.00032388032,0.000063598425,0.00029873682,0.0000868474,0.0009696468,0.00008416071,0.0000018484335],"category_scores_gemma":[0.00023444946,0.00012020612,0.000048783262,0.00033491038,0.00016644482,0.00040409068,0.0002200216,0.000112983675,2.7214688e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058010924,0.000025737982,0.000043654432,0.000046256842,0.000097076714,6.8655006e-9,0.0003747754,0.98092383,0.0022062853,0.0046411157,0.0009751707,0.010660313],"study_design_scores_gemma":[0.00042420966,0.000017382981,0.00015604998,0.00009837365,0.000056458633,2.5642495e-7,0.00009385209,0.98708665,0.007706942,0.00039581305,0.0038391273,0.00012485185],"about_ca_topic_score_codex":0.000055381097,"about_ca_topic_score_gemma":0.00091251894,"teacher_disagreement_score":0.95225334,"about_ca_system_score_codex":0.000069112495,"about_ca_system_score_gemma":0.00007852664,"threshold_uncertainty_score":0.4901863},"labels":[],"label_agreement":null},{"id":"W4407023332","doi":"10.1109/twc.2025.3534086","title":"Channel Capacity of Near-Field Line-of-Sight Multiuser Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; CHIST-ERA; Canada First Research Excellence Fund; Engineering and Physical Sciences Research Council; China Scholarship Council","keywords":"Channel capacity; Computer science; Telecommunications; Channel (broadcasting); Non-line-of-sight propagation; Field (mathematics); Wireless; Computer network; Mathematics","score_opus":0.03069369187303905,"score_gpt":0.27269780418458095,"score_spread":0.2420041123115419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407023332","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":[0.0060862205,0.00040640123,0.9885005,0.0005356695,0.0003193213,0.00047057262,0.00012095173,0.00028049547,0.0032798818],"genre_scores_gemma":[0.9678891,0.0017919987,0.0298134,0.000037820493,0.000005373052,0.00022299567,0.000020486983,0.00003614948,0.0001827026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987291,0.0001346694,0.0006876283,0.00015218863,0.0001177405,0.00017864472],"domain_scores_gemma":[0.995241,0.0007394622,0.00013755033,0.0035380158,0.00029039074,0.000053624437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014404795,0.00019788223,0.00034934896,0.00029409668,0.00034564335,0.000016804765,0.001312747,0.00017934236,0.000016508475],"category_scores_gemma":[0.000018831946,0.00022937384,0.00014546589,0.00088311394,0.00031987167,0.0002048899,0.000016628594,0.0004927929,0.000010183465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021663709,0.0006133471,0.00003923974,0.00024813868,0.00024762788,1.0185421e-7,0.0014888952,0.9640651,0.018280428,0.0036451994,0.00012612861,0.011224151],"study_design_scores_gemma":[0.00057152944,0.000050238003,0.000052034768,0.0004276791,0.00010160303,0.00000158275,0.00027415258,0.82875144,0.16806334,0.0002563998,0.0012025979,0.00024739277],"about_ca_topic_score_codex":0.00019794318,"about_ca_topic_score_gemma":0.0008731687,"teacher_disagreement_score":0.96180284,"about_ca_system_score_codex":0.00009146534,"about_ca_system_score_gemma":0.00005994224,"threshold_uncertainty_score":0.93535936},"labels":[],"label_agreement":null},{"id":"W4407026409","doi":"10.1109/mvt.2025.3531346","title":"Exploring the 6G Potentials: Immersive, Hyperreliable, and Low-Latency Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Telecommunications; Human–computer interaction","score_opus":0.013828781751632171,"score_gpt":0.21725726774971058,"score_spread":0.2034284859980784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407026409","genre_codex":"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":[0.66548914,0.01636139,0.30884022,0.002892445,0.0012091135,0.00088503596,0.0000066401744,0.0015531528,0.0027628946],"genre_scores_gemma":[0.9911139,0.005011281,0.0033109274,0.000046193083,0.000019632029,0.00018761323,0.00000980613,0.000033097367,0.00026756522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919945,0.000031113086,0.0002696737,0.00020128125,0.00006635433,0.00023215255],"domain_scores_gemma":[0.9991111,0.000045849672,0.000046101526,0.0006869896,0.000088806184,0.000021112703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014657086,0.00017225409,0.00020313975,0.00033281802,0.00017845644,0.00002265707,0.00032015488,0.00015468789,0.0000039682445],"category_scores_gemma":[0.000056322926,0.00014931468,0.00003271276,0.0008139006,0.00015610862,0.00024943808,0.00009216874,0.00032891694,0.000043076994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015134204,0.00005489069,0.0010277573,0.00031575942,0.0002556137,0.000023400265,0.00020763374,0.5474981,0.41261527,0.0091210585,0.0024815705,0.02638383],"study_design_scores_gemma":[0.0030231336,0.00010476466,0.0035827507,0.0014985832,0.0003918007,0.00018549539,0.0015255549,0.5872531,0.3596258,0.012737865,0.028676262,0.0013949211],"about_ca_topic_score_codex":0.0000064683345,"about_ca_topic_score_gemma":0.000009311107,"teacher_disagreement_score":0.32562476,"about_ca_system_score_codex":0.0000578729,"about_ca_system_score_gemma":0.000010128832,"threshold_uncertainty_score":0.6088876},"labels":[],"label_agreement":null},{"id":"W4407360756","doi":"10.1109/tcomm.2025.3541031","title":"Computation-and-Communication Efficient Coordinated Multicast Beamforming in Massive MIMO Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Computer science; Multicast; MIMO; Computer network; 3G MIMO; Computation; Electronic engineering; Telecommunications; Engineering; Algorithm","score_opus":0.010845922898898469,"score_gpt":0.2595270424442462,"score_spread":0.24868111954534772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407360756","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":[0.0018986923,0.0008170446,0.9930925,0.00049443456,0.00020972175,0.0005589871,0.000014314007,0.00034137213,0.002572959],"genre_scores_gemma":[0.9632266,0.00086568017,0.03542328,0.00004324263,0.000003727958,0.00027400954,0.00003500621,0.000029574514,0.00009889148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896145,0.00012733332,0.0004631784,0.00017595437,0.00006788993,0.00020422043],"domain_scores_gemma":[0.998277,0.0005406298,0.00005918772,0.0009535984,0.000108219225,0.00006132986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001718661,0.00017974997,0.0002049744,0.00042985828,0.00038594092,0.000046631714,0.0003829379,0.00012464005,0.0000075280213],"category_scores_gemma":[0.000016917988,0.00021594632,0.000046688165,0.0008946222,0.00012673903,0.00015623962,0.000009784284,0.00047896232,0.000009051943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006797184,0.00010105529,0.000016130787,0.000020939193,0.000029704654,2.1030596e-7,0.00035329387,0.9858914,0.00018672478,0.00069406495,0.000028093931,0.012671569],"study_design_scores_gemma":[0.0005753217,0.000009896456,0.000108077584,0.0002349217,0.00002821457,0.000002015766,0.0003997707,0.9976607,0.00049684336,0.00012666556,0.000191579,0.00016597704],"about_ca_topic_score_codex":0.000064167296,"about_ca_topic_score_gemma":0.00031075042,"teacher_disagreement_score":0.9613279,"about_ca_system_score_codex":0.00025806588,"about_ca_system_score_gemma":0.000028198536,"threshold_uncertainty_score":0.8806035},"labels":[],"label_agreement":null},{"id":"W4407639535","doi":"10.1109/lwc.2025.3542546","title":"6DMA-Aided Cell-Free Massive MIMO Communication","year":2025,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"MIMO; Computer science; 3G MIMO; Telecommunications; Beamforming","score_opus":0.010635152271927142,"score_gpt":0.2346188389388593,"score_spread":0.22398368666693214,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407639535","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":[0.050079208,0.003632801,0.8903829,0.016089939,0.00090571796,0.0012331931,0.000064341344,0.0018635638,0.03574836],"genre_scores_gemma":[0.95620906,0.0012170478,0.040861174,0.00080629915,0.000026406218,0.00034920222,0.00014027322,0.00006480262,0.00032575044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860406,0.00021323876,0.0005386676,0.00021432654,0.00013348467,0.0002961971],"domain_scores_gemma":[0.9939282,0.00036013348,0.0001276777,0.0053974628,0.00012581181,0.000060708917],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018540939,0.00025544775,0.00028225133,0.00029645936,0.00038144676,0.00008209931,0.0026014328,0.00013062939,0.000010744711],"category_scores_gemma":[0.000036030015,0.0003100087,0.000092067,0.0007005748,0.0002104794,0.0003739337,0.00032525763,0.0004503115,0.00006786245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014076444,0.00016129336,0.0004935577,0.00028540444,0.00020287318,0.0000024349097,0.0013038904,0.6452596,0.23857188,0.009562333,0.097077206,0.0070654205],"study_design_scores_gemma":[0.0040338007,0.000026301666,0.0008813312,0.0010671972,0.0002532,0.000010033209,0.0015446426,0.851276,0.08782024,0.0019923763,0.0492729,0.0018220239],"about_ca_topic_score_codex":0.00006213172,"about_ca_topic_score_gemma":0.000117491865,"teacher_disagreement_score":0.90612984,"about_ca_system_score_codex":0.00033852027,"about_ca_system_score_gemma":0.000033310956,"threshold_uncertainty_score":0.9999352},"labels":[],"label_agreement":null},{"id":"W4407691637","doi":"10.1109/mecom61498.2024.10880893","title":"Downlink Power Adaptation with Stochastic Poisson Interference in Short Packet D2D Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities","keywords":"Telecommunications link; Adaptation (eye); Interference (communication); Network packet; Computer science; Power (physics); Stochastic geometry; Poisson distribution; Computer network; Physics; Mathematics; Statistics","score_opus":0.009314363700764524,"score_gpt":0.21691254375286675,"score_spread":0.20759818005210223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407691637","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":[0.007743348,0.0004410497,0.9881614,0.000019889472,0.00035483873,0.0002214127,0.0000020882133,0.0005286,0.0025273701],"genre_scores_gemma":[0.9951831,0.00001519346,0.004490065,0.000009392431,0.000043772423,0.000037640628,0.000023610623,0.00004085694,0.00015634022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936813,0.00001088092,0.00019125534,0.00018053113,0.0000671342,0.00018208161],"domain_scores_gemma":[0.99975455,0.00004672542,0.0000054711045,0.0001275645,0.000026804733,0.000038887367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007216596,0.0001362094,0.000120408025,0.00012453922,0.000011283741,0.000050557523,0.0000596436,0.00006884149,0.00005812333],"category_scores_gemma":[0.0000067446167,0.000114362956,0.0000152355915,0.00032472223,0.000011518066,0.00028756948,0.000011017949,0.00017476744,0.00002507926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008942733,0.0000039757506,0.000048356582,0.000026535194,0.000011912241,0.000009038647,0.00041437848,0.99467224,0.00010742948,0.00048072916,0.000103706305,0.0041127587],"study_design_scores_gemma":[0.000081753125,0.0000432697,0.000113157366,0.00029233567,0.000005906103,0.000010025977,0.00021850203,0.9989551,0.00005553708,0.00004653409,0.000026056621,0.00015183105],"about_ca_topic_score_codex":0.000019354122,"about_ca_topic_score_gemma":0.00032291174,"teacher_disagreement_score":0.98743975,"about_ca_system_score_codex":0.00011582674,"about_ca_system_score_gemma":0.000011929179,"threshold_uncertainty_score":0.4663586},"labels":[],"label_agreement":null},{"id":"W4407900020","doi":"10.1109/twc.2025.3542126","title":"Carrier Aggregation, Load Balancing, and Backhauling in Non-Terrestrial Networks: Generative Diffusion Model-Based Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Diffusion; Distributed computing; Load balancing (electrical power); Computer network; Radio networks; Wireless; Generative model; Wireless network; Mathematical optimization; Generative grammar; Telecommunications; Artificial intelligence; Mathematics; Physics","score_opus":0.010757823117989168,"score_gpt":0.24370159326117155,"score_spread":0.23294377014318238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407900020","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":[0.0044352966,0.00039020512,0.9933888,0.00019670748,0.00038554514,0.0005079578,0.0000399521,0.00020174941,0.000453837],"genre_scores_gemma":[0.95474505,0.0014367388,0.043206327,0.00008077132,0.00002003417,0.00027478847,0.00006240753,0.000042732958,0.00013112488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988048,0.00011574285,0.00048587407,0.0002604907,0.00012070538,0.00021240402],"domain_scores_gemma":[0.99865615,0.00020670035,0.000072194314,0.0008592317,0.00014261027,0.00006309972],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001454942,0.00022860171,0.00025193038,0.00028188791,0.00036431517,0.000063530584,0.00025401614,0.00018811513,0.0000058996548],"category_scores_gemma":[0.000010438936,0.0002748155,0.000054378972,0.0007368852,0.00008600759,0.0002705539,0.0000062207782,0.0004059977,0.0000017571182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002112177,0.000074285286,0.00004407611,0.000025991987,0.000023088745,4.8880037e-7,0.00027206898,0.9924561,0.0005090584,0.00006753566,0.000032506003,0.0064736833],"study_design_scores_gemma":[0.0011820508,0.00001127067,0.000015931655,0.00029646128,0.000034255147,0.0000010243256,0.00007336321,0.9954711,0.0026079556,0.000054581225,0.00003738715,0.00021461154],"about_ca_topic_score_codex":0.000047330243,"about_ca_topic_score_gemma":0.0010051003,"teacher_disagreement_score":0.95030975,"about_ca_system_score_codex":0.00041433654,"about_ca_system_score_gemma":0.00014153808,"threshold_uncertainty_score":0.9999704},"labels":[],"label_agreement":null},{"id":"W4408039102","doi":"10.18280/ts.420110","title":"Adaptive Power Allocation Design of Beyond 6G Highly Dense NOMA-Massive MIMO Infinity-Norm Box Detection Technique","year":2025,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Noma; Norm (philosophy); Infinity; Power (physics); MIMO; Mathematics; Computer science; Telecommunications; Physics; Mathematical analysis; Political science; Telecommunications link","score_opus":0.008810428500334682,"score_gpt":0.21236364084419637,"score_spread":0.2035532123438617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408039102","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":[0.004791051,0.00013404929,0.9906686,0.000028448347,0.00022466676,0.0012570657,0.000015265465,0.0002929079,0.0025879736],"genre_scores_gemma":[0.96736664,0.000019364454,0.03200449,0.000030830804,0.0000379245,0.0003775669,0.000019650824,0.00003568309,0.00010785976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873877,0.000087171175,0.0005255018,0.00023737019,0.00018218788,0.00022899972],"domain_scores_gemma":[0.99925333,0.00012933722,0.00014253083,0.00020067205,0.00022412412,0.000050028684],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028463075,0.00023657028,0.00025411497,0.00032539846,0.000079464655,0.000020034344,0.00013320924,0.00015520131,0.0000534581],"category_scores_gemma":[0.000031248193,0.0002624071,0.00006384063,0.00044688262,0.000044230615,0.00029409383,0.000024077512,0.00016395398,0.000009812877],"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":[0.00010301125,0.00006085395,0.000031061405,0.00009605477,0.000109317785,0.0000030847145,0.00032861295,0.70432055,0.29037192,0.001169189,0.000248103,0.0031582569],"study_design_scores_gemma":[0.0011428247,0.00041086168,0.00042666422,0.00023295612,0.000104300176,0.000005729787,0.00032277204,0.20229694,0.79284036,0.0011406202,0.00064491964,0.00043105468],"about_ca_topic_score_codex":0.000019909712,"about_ca_topic_score_gemma":0.000017507751,"teacher_disagreement_score":0.96257555,"about_ca_system_score_codex":0.0003088107,"about_ca_system_score_gemma":0.00005265902,"threshold_uncertainty_score":0.99998283},"labels":[],"label_agreement":null},{"id":"W4408100628","doi":"10.1109/tmtt.2025.3543480","title":"A Demonstration of a Wideband Low-Complexity Multibeam Analog Beamforming Network","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Beamforming; Wideband; Electronic engineering; Computer science; Electrical engineering; Telecommunications; Engineering","score_opus":0.00788645002309578,"score_gpt":0.23350131906352445,"score_spread":0.22561486904042866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408100628","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":[0.01970535,0.0001510362,0.97584176,0.0000069448147,0.00012111291,0.00033921644,0.000015503647,0.00041209985,0.003406952],"genre_scores_gemma":[0.9549742,0.00020706822,0.044588003,0.00002697098,0.000015837932,0.00004552244,0.0000040829896,0.000017627312,0.00012070841],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999315,0.00006408378,0.0002844457,0.00014715687,0.00004171768,0.00014756591],"domain_scores_gemma":[0.99957967,0.00013528833,0.00004600703,0.00016646145,0.00004579923,0.00002679002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002906315,0.00014963253,0.00019867123,0.00016517393,0.00009761347,0.000013587328,0.0000634406,0.00011286452,0.000006762272],"category_scores_gemma":[0.0000037328898,0.00015587703,0.000054182463,0.0002524894,0.00011738714,0.00015812049,0.0000010129581,0.00016040457,6.542922e-7],"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":[0.00014298524,0.00006192502,0.000012325428,0.00030054766,0.00008313982,0.0000010888766,0.00021810594,0.111044504,0.7912771,0.013237707,0.00006556763,0.083555005],"study_design_scores_gemma":[0.00015684465,0.00004087975,0.0000035100402,0.0003185628,0.00003896631,0.0000062719237,0.000055998196,0.0020076635,0.9790403,0.0181373,0.00006081795,0.00013287234],"about_ca_topic_score_codex":0.000006980315,"about_ca_topic_score_gemma":0.000043105098,"teacher_disagreement_score":0.9352688,"about_ca_system_score_codex":0.000043319764,"about_ca_system_score_gemma":0.000012414117,"threshold_uncertainty_score":0.6356481},"labels":[],"label_agreement":null},{"id":"W4408145489","doi":"10.1109/tcomm.2025.3547764","title":"Toward Zero Touch Networks: Cross-Layer Automated Security Solutions for 6G Wireless Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University; Ontario Tech University","funders":"","keywords":"Computer science; Wireless; Computer network; Layer (electronics); Zero (linguistics); Physical layer; Wireless network; Telecommunications; Materials science","score_opus":0.03211102483972217,"score_gpt":0.3004036182890676,"score_spread":0.2682925934493454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408145489","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":[0.00025265795,0.0007969552,0.9911159,0.00035008384,0.0013737957,0.0010463258,0.00014430378,0.0029050256,0.0020149536],"genre_scores_gemma":[0.987663,0.0013016124,0.008968269,0.00009263567,0.000041190044,0.001317968,0.00011691036,0.00007369614,0.00042474718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983894,0.00010097491,0.00060071406,0.00028408776,0.00009760761,0.00052717206],"domain_scores_gemma":[0.99725354,0.00055026746,0.000077886645,0.0017381549,0.00028200127,0.00009813854],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021375233,0.0002919152,0.0003118158,0.0002472072,0.0011676566,0.00012368856,0.0007742703,0.0002985143,0.00001802134],"category_scores_gemma":[0.000011944147,0.00035263848,0.00019420248,0.00093519763,0.00016360875,0.00035537325,0.000012101912,0.0005608542,0.000015032364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016095119,0.00014140952,0.000008220339,0.000049084807,0.00014109242,1.7718509e-7,0.0001610178,0.9922705,0.00012629833,0.002091782,0.0023954306,0.0025988559],"study_design_scores_gemma":[0.0006183819,0.00002249393,0.000027739696,0.0001291735,0.00009198206,0.000003312865,0.0000710022,0.9950023,0.00052064494,0.00051214587,0.0027129396,0.00028783194],"about_ca_topic_score_codex":0.000044046013,"about_ca_topic_score_gemma":0.00032103434,"teacher_disagreement_score":0.9874103,"about_ca_system_score_codex":0.00034227845,"about_ca_system_score_gemma":0.000060095048,"threshold_uncertainty_score":0.99989253},"labels":[],"label_agreement":null},{"id":"W4408166152","doi":"10.1109/ojcoms.2025.3548537","title":"Enhancing Spectral Efficiency: The Impact of RIS Elements Association on Multi-User Cell-Free Wireless Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Association (psychology); Computer network; Wireless; Spectral efficiency; Wireless network; Telecommunications; Psychology; Channel (broadcasting)","score_opus":0.016257344117773246,"score_gpt":0.3015657083978271,"score_spread":0.28530836428005385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408166152","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":[0.16645855,0.0017956744,0.82285607,0.0015502264,0.001468339,0.0014986721,0.000037978552,0.00005118777,0.004283278],"genre_scores_gemma":[0.9853864,0.00080671505,0.013095766,0.00004549116,0.00003975086,0.000011967027,0.0000019326471,0.000019785079,0.0005922209],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986943,0.00024609888,0.0006380427,0.00006790038,0.00017449723,0.00017916306],"domain_scores_gemma":[0.99722797,0.0004161309,0.00069949793,0.001366319,0.00026254816,0.000027564574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013162897,0.00012740493,0.00023763043,0.000033003565,0.00038145125,0.00008300449,0.0032994368,0.000085841195,0.000005840955],"category_scores_gemma":[0.00010710282,0.000081787985,0.00033935354,0.00051246095,0.000051474854,0.00023016738,0.00034909043,0.0005783111,0.0000011945392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006563889,0.0001134351,0.002417642,0.000011153821,0.00024833917,3.8756472e-8,0.001017942,0.98218733,0.0050927955,0.00008752332,0.008623872,0.00019339065],"study_design_scores_gemma":[0.0024245265,0.00008694194,0.0068068947,0.0006709525,0.00019316355,0.000003619103,0.0014664659,0.9654762,0.021862047,0.00023120809,0.00053987646,0.00023811052],"about_ca_topic_score_codex":0.000056557143,"about_ca_topic_score_gemma":0.00006240781,"teacher_disagreement_score":0.8189278,"about_ca_system_score_codex":0.0009028299,"about_ca_system_score_gemma":0.000113273534,"threshold_uncertainty_score":0.61312294},"labels":[],"label_agreement":null},{"id":"W4408324641","doi":"10.1109/tcomm.2025.3550371","title":"Optimizing Multi-User Uplink Cooperative Rate-Splitting Multiple Access: Efficient User Pairing and Resource Allocation With Gradient-Based Meta Learning","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Telecommunications link; Computer science; Pairing; Resource allocation; Computer network; Resource management (computing); Resource (disambiguation); Distributed computing","score_opus":0.03390401326356322,"score_gpt":0.27480089268033675,"score_spread":0.24089687941677354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408324641","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":[0.005472232,0.0005797824,0.99178356,0.00033970858,0.00008792624,0.0007845459,0.000012000436,0.0006703424,0.00026989274],"genre_scores_gemma":[0.8933859,0.00015491009,0.1052019,0.00006653256,0.000005937846,0.0006068937,0.00003596433,0.00006487256,0.00047711586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856406,0.00026586218,0.00045053274,0.0003425683,0.00010482743,0.00027214765],"domain_scores_gemma":[0.9977248,0.0008953122,0.000103358,0.0009970042,0.00021050878,0.000069023394],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037007278,0.00029921706,0.00031664156,0.0003669471,0.0010527697,0.00017364032,0.0004401735,0.00010775037,0.000008687775],"category_scores_gemma":[0.000046741592,0.00029336748,0.000081991064,0.0008205232,0.00012864832,0.00034048737,0.000013768861,0.0006171344,0.0000052344126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024818459,0.00011306726,0.00007741723,0.00006229482,0.0003086576,3.510219e-7,0.00062781974,0.9954298,0.002015691,0.00015363298,0.00000872324,0.0011777055],"study_design_scores_gemma":[0.0010913999,0.000030848892,0.0000668469,0.00024737086,0.00033994924,0.0000014047945,0.00059334043,0.98207575,0.013783925,0.0000015076853,0.001486116,0.00028152185],"about_ca_topic_score_codex":0.00004701973,"about_ca_topic_score_gemma":0.00029845978,"teacher_disagreement_score":0.88791364,"about_ca_system_score_codex":0.00020212127,"about_ca_system_score_gemma":0.000049408383,"threshold_uncertainty_score":0.99995184},"labels":[],"label_agreement":null},{"id":"W4408324749","doi":"10.1109/globecom52923.2024.10901616","title":"Machine Unlearning for Uplink Interference Cancellation","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Telecommunications link; Single antenna interference cancellation; Computer science; Interference (communication); Telecommunications; Decoding methods","score_opus":0.010837968487195693,"score_gpt":0.24511512804217717,"score_spread":0.23427715955498146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408324749","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":[0.0001665615,0.0011033944,0.98626393,0.000032535037,0.0005728932,0.00014794343,0.0000031698064,0.00079420273,0.010915369],"genre_scores_gemma":[0.96889615,0.00004689308,0.027703729,0.000006182004,0.000089476714,0.000032225405,0.00002564804,0.000030418298,0.0031692833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969333,0.0000025474938,0.00010451721,0.00009180228,0.000021496931,0.00008630516],"domain_scores_gemma":[0.9998575,0.00004181791,0.000005892782,0.00005989415,0.000017399985,0.000017539465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045774952,0.00006159981,0.00005583993,0.000048568505,0.000018637975,0.000031796753,0.000032143824,0.000028915545,0.0000704836],"category_scores_gemma":[0.000011002563,0.000057933517,0.000018545545,0.000089528796,0.0000034127122,0.00011736335,0.0000056421454,0.00005475744,0.00003427913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015719171,6.4524176e-7,0.0000243042,0.00015899881,0.000009446803,3.5438043e-7,0.00011768583,0.9621723,0.002412948,0.00385248,0.00059250963,0.030656744],"study_design_scores_gemma":[0.000050027786,0.000009432811,0.0000034509223,0.00006062263,0.0000038429794,0.0000014823825,0.000013948854,0.987218,0.0018924958,0.00029412378,0.010382211,0.00007033331],"about_ca_topic_score_codex":0.0000066503185,"about_ca_topic_score_gemma":0.000016476994,"teacher_disagreement_score":0.96872956,"about_ca_system_score_codex":0.000060026443,"about_ca_system_score_gemma":0.000005607942,"threshold_uncertainty_score":0.23624602},"labels":[],"label_agreement":null},{"id":"W4408326159","doi":"10.1109/globecom52923.2024.10901054","title":"Capacity Limits of Near-Field Multiple Access Channel","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Channel (broadcasting); Field (mathematics); Channel capacity; Computer network; Telecommunications; Mathematics","score_opus":0.03257812213240899,"score_gpt":0.26236274422715106,"score_spread":0.22978462209474207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408326159","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":[0.026174722,0.0002937494,0.96146625,0.000045184373,0.0006928952,0.00014972122,0.0000052276637,0.00060788513,0.010564383],"genre_scores_gemma":[0.9929606,0.000027893024,0.006634547,0.000014201868,0.000049832754,0.00001355242,0.0000029167438,0.000023756755,0.00027271395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960107,0.000005162086,0.0001407815,0.00009353894,0.00005477216,0.00010466809],"domain_scores_gemma":[0.99972886,0.00008675767,0.00000894604,0.00012008573,0.000026426993,0.000028921993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004208896,0.00007385459,0.0000953132,0.000045580833,0.000014881237,0.000039894352,0.00008967493,0.000055869663,0.000054567416],"category_scores_gemma":[0.000039933115,0.00006906734,0.00002952253,0.00017933297,0.000008904156,0.00029696862,0.00001590934,0.00007215496,0.000026977332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002020088,0.000005686977,0.00015149865,0.0003617067,0.000024240951,0.000001926031,0.00028907703,0.9895826,0.004713103,0.00049884565,0.0017662012,0.0026031146],"study_design_scores_gemma":[0.000060629536,0.000009680317,0.00005217783,0.00006480508,0.0000041493104,0.000002102814,0.000015752874,0.9133898,0.08537934,0.000104012586,0.00083832437,0.00007923448],"about_ca_topic_score_codex":0.000051258627,"about_ca_topic_score_gemma":0.000040559382,"teacher_disagreement_score":0.96678585,"about_ca_system_score_codex":0.000021128502,"about_ca_system_score_gemma":0.000006285967,"threshold_uncertainty_score":0.28164843},"labels":[],"label_agreement":null},{"id":"W4408353861","doi":"10.1109/icassp49660.2025.10889215","title":"Joint Energy-Based Optimization of Binary Offloading Decisions and Communication Resources in TDMA Systems, via Dynamic Programming","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Joint (building); Computer science; Time division multiple access; Binary number; Dynamic programming; Energy (signal processing); Distributed computing; Computer network; Algorithm; Engineering","score_opus":0.008060684561489367,"score_gpt":0.22600163935208492,"score_spread":0.21794095479059555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408353861","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":[0.012899313,0.002481746,0.98327285,0.000027352715,0.000074647745,0.00029126788,0.0000022009601,0.00019589397,0.0007547521],"genre_scores_gemma":[0.86943805,0.00018906409,0.13018216,0.0000059202684,0.000002658863,0.00006349673,0.00004048615,0.00002028834,0.000057896727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908024,0.00007057706,0.00049116847,0.00014447424,0.000080779915,0.0001327361],"domain_scores_gemma":[0.9993527,0.00015717065,0.00008362961,0.0003058456,0.00007271197,0.00002792135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021174198,0.00012210396,0.00022110846,0.00047538226,0.000059727976,0.000031248772,0.00010145454,0.00009232138,0.0000028172158],"category_scores_gemma":[0.000060951952,0.00012805783,0.000021888281,0.00056865317,0.000031881933,0.00017071416,0.00004424351,0.00007496132,2.9717603e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000061230653,0.000018018547,0.00029912003,0.00013408622,0.000010321367,4.5736763e-7,0.00008921391,0.9928284,0.0022899383,0.00060383877,0.000011516711,0.003708936],"study_design_scores_gemma":[0.00034145292,0.000014254861,0.00024422782,0.0006894322,0.0000101980795,0.0000012514581,0.00028373918,0.9976693,0.00048841414,0.000037528644,0.00011630575,0.00010390725],"about_ca_topic_score_codex":0.0001507415,"about_ca_topic_score_gemma":0.00012342009,"teacher_disagreement_score":0.8565387,"about_ca_system_score_codex":0.00014225033,"about_ca_system_score_gemma":0.000014977361,"threshold_uncertainty_score":0.5222047},"labels":[],"label_agreement":null},{"id":"W4408717075","doi":"10.1109/emts57498.2023.10925279","title":"Packaged Sub-array Overlapping Feeding Network for mmWave","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","score_opus":0.016175343893996753,"score_gpt":0.22846048875574193,"score_spread":0.21228514486174518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408717075","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":[0.007932131,0.00006407775,0.98184043,0.000026947835,0.0009587237,0.0003547739,0.0000049376663,0.0018545553,0.0069634127],"genre_scores_gemma":[0.95227987,0.00006380916,0.044994205,0.000036780304,0.000810441,0.00013088615,0.00007162575,0.00010581055,0.0015065966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926776,0.000006599647,0.0001850217,0.00013719604,0.000063326595,0.0003400812],"domain_scores_gemma":[0.999647,0.000120138226,0.000022959726,0.00013082426,0.000032768494,0.00004630775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800864,0.00011387132,0.00014050805,0.00006739202,0.00009021937,0.000029066603,0.000050002378,0.000064239626,0.000015036971],"category_scores_gemma":[0.00004035014,0.000120061784,0.000047671932,0.00041337876,0.000006023173,0.00016097967,0.000011517744,0.00006211496,0.00007871523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019677389,8.3222625e-7,0.00006452836,0.000063300206,0.000018750405,9.3156683e-7,0.00012467318,0.9328677,0.05378387,0.0010024378,0.011582574,0.0004884175],"study_design_scores_gemma":[0.0009154065,0.000033051387,0.0005821143,0.00019957416,0.00002351635,0.0000056362496,0.0007162067,0.9527977,0.029705113,0.0038197387,0.01052016,0.0006817583],"about_ca_topic_score_codex":0.0000021665724,"about_ca_topic_score_gemma":0.000013699114,"teacher_disagreement_score":0.94434774,"about_ca_system_score_codex":0.00006263077,"about_ca_system_score_gemma":0.0000045081133,"threshold_uncertainty_score":0.48959774},"labels":[],"label_agreement":null},{"id":"W4408791095","doi":"10.1109/mnet.2025.3554393","title":"Integrating Terrestrial and Non-Terrestrial Networks for Sustainable 6G Operations: A Latency-Aware Multitier Cell-Switching Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Network","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Latency (audio); Computer network; Telecommunications","score_opus":0.007700964106338157,"score_gpt":0.2302154601375894,"score_spread":0.22251449603125123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408791095","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":[0.0048128413,0.0007480469,0.9856286,0.000011122899,0.0043742107,0.0015531536,0.000002544868,0.00024628,0.002623201],"genre_scores_gemma":[0.96057975,0.0000775098,0.032054078,0.000039344508,0.0057151765,0.0005463407,0.000079709076,0.000074286465,0.0008338319],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851906,0.000047898826,0.00047193933,0.00033084417,0.000075899115,0.0005543573],"domain_scores_gemma":[0.99940777,0.00018654852,0.000055190896,0.00023416361,0.000046733105,0.00006957352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003017086,0.00027388803,0.00033598195,0.0001005185,0.00037615214,0.0002250324,0.0001505893,0.00022912331,0.0000011272684],"category_scores_gemma":[0.00004624124,0.0002768166,0.00007138371,0.00032635988,0.000021792508,0.0003840245,0.000039225415,0.0003097604,9.0629976e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006518376,0.000013749765,0.000072352486,0.00010937407,0.000035771714,0.000002799911,0.00018227556,0.9908938,0.00005680148,0.000099160345,0.0068757995,0.0015929781],"study_design_scores_gemma":[0.0016247168,0.000031723506,0.0000099724075,0.00017499023,0.000040973006,0.0000018946853,0.00046992762,0.9954681,0.000058980157,0.0002539618,0.0016090004,0.00025576114],"about_ca_topic_score_codex":0.00009921196,"about_ca_topic_score_gemma":0.000060121103,"teacher_disagreement_score":0.95576686,"about_ca_system_score_codex":0.00013543783,"about_ca_system_score_gemma":0.00005894612,"threshold_uncertainty_score":0.9999684},"labels":[],"label_agreement":null},{"id":"W4409058078","doi":"10.1109/tcomm.2025.3556779","title":"RIS-Aided MIMO Beamforming: Piecewise Near-Field Channel Model","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; National High-tech Research and Development Program; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Beamforming; MIMO; Channel (broadcasting); Electronic engineering; Piecewise; Precoding; Field (mathematics); Computer science; Engineering; Telecommunications; Mathematics","score_opus":0.022868776150361328,"score_gpt":0.26848977757457554,"score_spread":0.24562100142421422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409058078","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":[0.00040255862,0.00029166156,0.98003936,0.0008814052,0.0004204486,0.00040465558,0.000041170046,0.00074108556,0.016777663],"genre_scores_gemma":[0.9520653,0.0007564971,0.044692993,0.00018948143,0.000010419668,0.00037480853,0.000016620914,0.000046259604,0.0018476491],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905086,0.000039969746,0.00038590832,0.00018234656,0.00009772177,0.00024317761],"domain_scores_gemma":[0.9977923,0.00023805109,0.000042754116,0.0017529953,0.00010051271,0.00007341165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010014319,0.00020523644,0.0002043299,0.00023714644,0.0005783908,0.000056753353,0.00063538103,0.0001531841,0.000020084113],"category_scores_gemma":[0.000012571633,0.00024334023,0.00011052954,0.0005948358,0.00007046984,0.00030530643,0.0000059589765,0.0004465219,0.00005995514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007650064,0.000093242925,8.684777e-7,0.000030337189,0.00005784589,1.4715232e-7,0.00035913463,0.99227047,0.0013097121,0.0005611589,0.0006632466,0.0046461825],"study_design_scores_gemma":[0.00033349518,0.000018497785,0.0000020984376,0.00010057905,0.000053118867,0.000002045892,0.00012959824,0.9828105,0.013597021,0.00090971106,0.0018430124,0.00020035225],"about_ca_topic_score_codex":0.000033006152,"about_ca_topic_score_gemma":0.00020690628,"teacher_disagreement_score":0.9516627,"about_ca_system_score_codex":0.00016252711,"about_ca_system_score_gemma":0.000064809545,"threshold_uncertainty_score":0.99231267},"labels":[],"label_agreement":null},{"id":"W4409102298","doi":"10.1109/lwc.2025.3557052","title":"CSI Robust Joint User Selection and Precoder Design in MIMO Downlink Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Telecommunications link; Computer science; MIMO; Joint (building); Selection (genetic algorithm); Multi-user MIMO; Computer network; Control theory (sociology); Engineering; Artificial intelligence; Control (management)","score_opus":0.027227603242737652,"score_gpt":0.23704507387436638,"score_spread":0.20981747063162873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409102298","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":[0.03378085,0.0010096163,0.9624486,0.0008714978,0.0003654228,0.0007047966,0.0000045190204,0.00033469844,0.0004799775],"genre_scores_gemma":[0.96144414,0.000614825,0.03719968,0.00013575713,0.000026845622,0.00038861553,0.000019399018,0.000040103154,0.000130622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888,0.00021971874,0.0004271392,0.00019050573,0.00007004493,0.00021253899],"domain_scores_gemma":[0.99888796,0.0001775213,0.000064070075,0.0007759365,0.000058986167,0.000035512086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575428,0.00017334541,0.0002328978,0.00033828506,0.00013979331,0.000080741534,0.0003156929,0.00010884051,0.0000019381032],"category_scores_gemma":[0.000018064646,0.0002013441,0.000026444874,0.00054417073,0.000056708206,0.00029726315,0.000053035546,0.00029923767,0.000008581843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033990318,0.000019970461,0.00050487806,0.0000973262,0.000032348456,3.985397e-7,0.0002181926,0.9697377,0.026149103,0.00035447106,0.002133929,0.0007482902],"study_design_scores_gemma":[0.00037661128,0.000005424761,0.0005470241,0.0003091496,0.000017380984,0.000006518364,0.00010875489,0.995272,0.0019912673,0.000014253521,0.0011452732,0.0002063813],"about_ca_topic_score_codex":0.00012611979,"about_ca_topic_score_gemma":0.00021475754,"teacher_disagreement_score":0.9276633,"about_ca_system_score_codex":0.00028151265,"about_ca_system_score_gemma":0.000020610698,"threshold_uncertainty_score":0.8210574},"labels":[],"label_agreement":null},{"id":"W4409129990","doi":"10.1109/jiot.2025.3552728","title":"Optimizing User-Centric Clustering and Pilot Assignment in Cell-Free Networks for Enhanced Spectral Efficiency","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Lakehead University","funders":"Division of Computer and Network Systems; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Cluster analysis; Spectral efficiency; Computer network; Spectral clustering; Distributed computing; Artificial intelligence","score_opus":0.007649025327568752,"score_gpt":0.22632135843034445,"score_spread":0.2186723331027757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409129990","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":[0.06039793,0.000942087,0.9360028,0.00002195203,0.0014206828,0.00027513693,8.6988166e-7,0.00004804656,0.00089049555],"genre_scores_gemma":[0.9563209,0.00019584823,0.04311208,0.000025416262,0.000089627385,0.000012550441,7.09683e-7,0.000027848822,0.00021501999],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988,0.000024491514,0.0005808633,0.00016282877,0.00011022717,0.00032158615],"domain_scores_gemma":[0.99948084,0.00010340389,0.0001656912,0.00013787525,0.00005334851,0.000058860856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003464277,0.00017133741,0.0002782834,0.00029364074,0.000038719045,0.00007883988,0.00028888276,0.00006989492,0.000006127284],"category_scores_gemma":[0.00004977292,0.00017731993,0.000057899033,0.00018072451,0.000021586367,0.00032985868,0.000058306363,0.00032410596,3.13548e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066468405,0.000034712106,0.00008359438,0.00014384412,0.0000256613,0.0000039970078,0.0007100782,0.9752655,0.022432726,0.000033689266,0.00027200012,0.0009277166],"study_design_scores_gemma":[0.001762942,0.0001508083,0.000028273062,0.00071315124,0.000018984276,0.000021230495,0.000118142096,0.93443424,0.06242522,0.00013316858,0.000038510698,0.00015531099],"about_ca_topic_score_codex":0.000012132177,"about_ca_topic_score_gemma":0.000009307883,"teacher_disagreement_score":0.89592296,"about_ca_system_score_codex":0.00027484217,"about_ca_system_score_gemma":0.000016817157,"threshold_uncertainty_score":0.7230897},"labels":[],"label_agreement":null},{"id":"W4409235178","doi":"10.1109/lwc.2025.3558198","title":"Geo2ComMap: Deep Learning-Based MIMO Throughput Prediction Using Geographic Data","year":2025,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science and Technology Council","keywords":"Computer science; Throughput; MIMO; Deep learning; Data modeling; Artificial intelligence; Machine learning; Data mining; Computer network; Wireless; Telecommunications; Channel (broadcasting)","score_opus":0.02883248799079383,"score_gpt":0.2718138897967052,"score_spread":0.24298140180591135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409235178","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":[0.044162184,0.0008355781,0.95128125,0.0013236683,0.0004891056,0.00039588762,0.000050723167,0.0009637616,0.00049781473],"genre_scores_gemma":[0.96795684,0.0003433027,0.03044223,0.00040464982,0.00004604434,0.00008390504,0.00064355094,0.00006238415,0.000017115151],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985868,0.00021506549,0.0004618971,0.0003063459,0.00013880356,0.00029109328],"domain_scores_gemma":[0.99586177,0.00028775545,0.0001067428,0.0036090252,0.00008671484,0.000048020276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002794169,0.00023284924,0.00023889034,0.00036872004,0.00046045234,0.00008193274,0.0016551374,0.00012359461,0.000009217274],"category_scores_gemma":[0.000044944194,0.00028526818,0.000060818133,0.0008344351,0.000176408,0.00050038035,0.00023827661,0.0005143118,0.000014152953],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003134281,0.000034370234,0.003058803,0.00007403899,0.00008371251,7.161437e-7,0.00007232118,0.9770062,0.017147547,0.00021943288,0.00076214044,0.0015375849],"study_design_scores_gemma":[0.0003078055,0.000004617071,0.00031964047,0.00021211225,0.000056585875,0.0000020253203,0.000076459684,0.9931641,0.0008428259,0.000021127158,0.0047785644,0.00021409961],"about_ca_topic_score_codex":0.000105689884,"about_ca_topic_score_gemma":0.00011568411,"teacher_disagreement_score":0.9237946,"about_ca_system_score_codex":0.00018530422,"about_ca_system_score_gemma":0.000030216459,"threshold_uncertainty_score":0.99995995},"labels":[],"label_agreement":null},{"id":"W4409310864","doi":"10.1109/jiot.2025.3559063","title":"Mixture of Gradient: A Unified Enhancing Approach for Deep-Learning-Based Wireless Network Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China","keywords":"Computer science; Wireless network; Wireless; Artificial intelligence; Computer network; Telecommunications","score_opus":0.005765325659581768,"score_gpt":0.21541257171386358,"score_spread":0.2096472460542818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409310864","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":[0.0055280807,0.00043745572,0.992139,0.0000110257115,0.0009318475,0.00025836588,0.000001220018,0.000080704805,0.0006123016],"genre_scores_gemma":[0.8069048,0.000031712538,0.19270182,0.000021522617,0.00010521389,0.000013567358,0.000013848056,0.000035593363,0.00017193591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877024,0.000054063843,0.00066403835,0.00013999731,0.00013731844,0.00023433132],"domain_scores_gemma":[0.99901485,0.00011589644,0.000397509,0.00012317095,0.00029881453,0.000049750513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043631654,0.00017080842,0.00035012205,0.00022333274,0.00005486366,0.000036046866,0.0002450615,0.00014196453,0.0000074617824],"category_scores_gemma":[0.0000909494,0.00017261002,0.00013825488,0.00028876922,0.00003137554,0.00023910624,0.000014401349,0.00034954588,1.8507183e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007768676,0.000024899147,0.00009950728,0.000462429,0.00013257623,8.5584776e-7,0.0006459527,0.99442333,0.0028295936,0.00021797785,0.00028986493,0.0007953471],"study_design_scores_gemma":[0.0006657085,0.00007077906,0.0000039435936,0.00069749245,0.00005992339,0.000012327421,0.00010949398,0.9669112,0.031137187,0.00014386224,0.000064837055,0.00012323231],"about_ca_topic_score_codex":0.000005603332,"about_ca_topic_score_gemma":0.0000021999126,"teacher_disagreement_score":0.8013767,"about_ca_system_score_codex":0.00012246527,"about_ca_system_score_gemma":0.000031277155,"threshold_uncertainty_score":0.70388323},"labels":[],"label_agreement":null},{"id":"W4409427651","doi":"10.1109/tvt.2025.3560709","title":"Joint Optimization of Communication Latency and Platoon Control Based on Uplink RSMA for Future V2X Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Platoon; Telecommunications link; Latency (audio); Joint (building); Computer science; Computer network; Distributed computing; Control (management); Engineering; Telecommunications","score_opus":0.004443005987158377,"score_gpt":0.2012048173251918,"score_spread":0.19676181133803342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409427651","genre_codex":"methods","genre_gemma":"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":[0.0014555998,0.00047653905,0.9957173,0.00065492414,0.00030918623,0.0008103777,0.000019131225,0.00048550387,0.00007145408],"genre_scores_gemma":[0.96280855,0.00029811155,0.036473002,0.000057355875,0.000012418935,0.0002764744,0.00002079789,0.000034010576,0.000019303181],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992209,0.00002747379,0.00033741933,0.00019701771,0.000054536587,0.00016264383],"domain_scores_gemma":[0.99924105,0.000082950064,0.00007827274,0.00045517468,0.0001202123,0.000022349139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010877047,0.00017100651,0.00027373226,0.0005014303,0.00012652122,0.000009422175,0.00011962894,0.00045005145,0.0000050845038],"category_scores_gemma":[0.000008713788,0.00018332472,0.00006582981,0.00046756357,0.00006597574,0.00007323861,0.0000010195503,0.00029480938,6.817969e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004553139,0.000046447527,0.000009941791,0.00006739471,0.000052848147,3.1976157e-7,0.000013269776,0.9892728,0.0008004454,0.00073401857,0.000020399759,0.008936595],"study_design_scores_gemma":[0.0013830331,0.00011200589,0.000011548161,0.00015598774,0.000066567576,0.000001966046,0.000047972117,0.98433477,0.013461548,0.00018831692,0.00010697213,0.00012932695],"about_ca_topic_score_codex":0.0000021757733,"about_ca_topic_score_gemma":0.000008333793,"teacher_disagreement_score":0.96135294,"about_ca_system_score_codex":0.00008188436,"about_ca_system_score_gemma":0.000015323049,"threshold_uncertainty_score":0.74757653},"labels":[],"label_agreement":null},{"id":"W4409641209","doi":"10.1109/tsp.2025.3562858","title":"Joint User Selection and Hybrid Precoder Design for Massive MIMO Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Signal Processing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Joint (building); MIMO; Computer science; Selection (genetic algorithm); Control theory (sociology); Telecommunications; Beamforming; Artificial intelligence; Engineering","score_opus":0.01913044183002573,"score_gpt":0.239326598874165,"score_spread":0.22019615704413925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409641209","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":[0.00076672446,0.0005070114,0.9968206,0.000024268113,0.00041714538,0.00086834596,0.000013475116,0.0004135604,0.00016884746],"genre_scores_gemma":[0.9743525,0.000026359801,0.024358401,0.000018556839,0.000047960406,0.00043133664,0.0000024263302,0.000050779854,0.0007117294],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908376,0.000035624766,0.00030796207,0.0002601227,0.00008771209,0.00022484493],"domain_scores_gemma":[0.99957514,0.00009380614,0.000055677057,0.00007816677,0.00014780955,0.000049378843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014110623,0.00019638774,0.00021420889,0.00024659533,0.0002804424,0.00012403881,0.0000485229,0.00008910184,0.0000076095175],"category_scores_gemma":[0.000003767127,0.00020777732,0.000044800752,0.00025914732,0.000020163843,0.00040596095,4.5164015e-7,0.00016334356,0.0000029214004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039368864,0.000019886469,0.0000012905152,0.0005547004,0.000047068523,4.598494e-7,0.0000865404,0.96501493,0.014654277,0.0000127189,0.00016363437,0.019405093],"study_design_scores_gemma":[0.0004184812,0.00004796111,0.0000016168201,0.000378936,0.000060943643,0.0000109218145,0.00009458893,0.8597274,0.13873237,0.00010007212,0.0002520646,0.00017464954],"about_ca_topic_score_codex":0.0000044341737,"about_ca_topic_score_gemma":0.0000037101313,"teacher_disagreement_score":0.9735857,"about_ca_system_score_codex":0.00017181062,"about_ca_system_score_gemma":0.000053872962,"threshold_uncertainty_score":0.8472913},"labels":[],"label_agreement":null},{"id":"W4409795755","doi":"10.1109/tmlcn.2025.3562808","title":"Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Machine Learning in Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"King Abdullah University of Science and Technology","keywords":"Computer science; Telecommunications link; Power (physics); Distributed computing; Computer network","score_opus":0.01091091858077866,"score_gpt":0.24237443233463835,"score_spread":0.23146351375385968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409795755","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":[0.002714115,0.0039451933,0.9911713,0.0002889527,0.0003069523,0.0005420771,0.000007848256,0.00031976245,0.0007038187],"genre_scores_gemma":[0.9874965,0.004912734,0.006923496,0.000034797748,0.000023155295,0.00029265328,0.00013404536,0.000047955342,0.00013466718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986324,0.00021786582,0.00050904084,0.00025540532,0.00006832172,0.00031701758],"domain_scores_gemma":[0.9984447,0.00075220957,0.00007595532,0.0006300086,0.00005460933,0.000042528078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046015924,0.00022543778,0.00027139348,0.00038594884,0.00043467013,0.00006485814,0.00037557672,0.00017809229,0.000005423274],"category_scores_gemma":[0.000018250614,0.0002698656,0.00006067908,0.0009386692,0.000048366157,0.00016249703,0.000012751823,0.001154529,0.0000010148271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028602462,0.000059328126,0.0021396526,0.000044913817,0.000019115403,3.249131e-7,0.00021215141,0.9701963,0.00013975297,0.000071463626,0.00001460694,0.027073774],"study_design_scores_gemma":[0.0012995857,0.00004731796,0.00036396628,0.00032734944,0.000021681142,0.0000011251021,0.0001459709,0.9929723,0.000059124694,0.00009644753,0.0044437135,0.00022137993],"about_ca_topic_score_codex":0.00009523367,"about_ca_topic_score_gemma":0.00089096173,"teacher_disagreement_score":0.9847824,"about_ca_system_score_codex":0.00018877008,"about_ca_system_score_gemma":0.00002038509,"threshold_uncertainty_score":0.9999754},"labels":[],"label_agreement":null},{"id":"W4410029884","doi":"10.1615/telecomradeng.2025059404","title":"INTELLIGENT VERSATILE VIDEO CODING VIDEO DELIVERY OVER 5G: MASSIVE MULTIPLE-INPUT, MULTIPLE-OUTPUT BEAMFORMING MEETS AI-DRIVEN RESOURCE ALLOCATION FOR OPTIMAL SPECTRAL EFFICIENCY","year":2025,"lang":"en","type":"article","venue":"Telecommunications and Radio Engineering","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Beamforming; Spectral efficiency; MIMO; Computer science; Resource allocation; Computer network; Resource (disambiguation); Telecommunications; Real-time computing; Distributed computing","score_opus":0.00918293247254925,"score_gpt":0.23279207241253394,"score_spread":0.22360913993998469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410029884","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":[0.038766515,0.0025503642,0.9564706,0.00018148606,0.0002472966,0.00093937793,0.000030850333,0.00056652835,0.00024698663],"genre_scores_gemma":[0.87703294,0.00059700734,0.12177694,0.000024957804,0.00007111186,0.00024827183,0.00012212517,0.00006935788,0.000057282356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985256,0.000028485452,0.00057220523,0.00032112992,0.00011261606,0.0004399665],"domain_scores_gemma":[0.9982911,0.0007507259,0.00009109,0.00065781956,0.000105333325,0.00010393238],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021654111,0.00032450535,0.00033701438,0.00042012468,0.00035302868,0.00009345423,0.00039635372,0.0001522105,0.0000049304426],"category_scores_gemma":[0.00025795028,0.00037704816,0.0001080151,0.0004457047,0.00004875747,0.00040152302,0.00010123997,0.00032550225,0.0000025022969],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014577627,0.000027860257,0.00022189265,0.0001594774,0.00013436511,5.784776e-7,0.00081551657,0.98197585,0.012139954,0.0009715173,0.00017265743,0.00336578],"study_design_scores_gemma":[0.00075847906,0.000029822624,0.00030817618,0.00029538825,0.00007119509,0.000006902026,0.00030423646,0.9775525,0.0101350285,0.0000072496687,0.01017657,0.00035449577],"about_ca_topic_score_codex":0.00003619679,"about_ca_topic_score_gemma":0.00003522923,"teacher_disagreement_score":0.83826643,"about_ca_system_score_codex":0.00042946343,"about_ca_system_score_gemma":0.00003728553,"threshold_uncertainty_score":0.99986815},"labels":[],"label_agreement":null},{"id":"W4410114752","doi":"10.1109/ojcoms.2025.3567495","title":"Large Sequence Model for MIMO Equalization in Fully Decoupled Radio Access Network","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; National Natural Science Foundation of China","keywords":"MIMO; Sequence (biology); Equalization (audio); Computer science; Computer network; Channel (broadcasting); Chemistry","score_opus":0.0857356484692014,"score_gpt":0.3800619868022454,"score_spread":0.294326338333044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410114752","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":[0.0010192292,0.00118795,0.9950552,0.0010098848,0.00032966683,0.0006966903,0.00001611025,0.000020319902,0.0006649341],"genre_scores_gemma":[0.8559589,0.0015396018,0.14156735,0.00033407196,0.000048660324,0.00010276169,0.000014385166,0.000030900384,0.00040336285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898815,0.00010747039,0.00057154155,0.000074749885,0.00008177982,0.00017631544],"domain_scores_gemma":[0.99836755,0.00022615583,0.00027042913,0.00087423535,0.00023403963,0.000027569045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010899197,0.000102021164,0.00022265154,0.000037289083,0.00029807404,0.0001408952,0.0031065622,0.000080362275,0.0000021221776],"category_scores_gemma":[0.0000855729,0.00008913072,0.0001455633,0.0006129006,0.000039793886,0.00074715103,0.00036212654,0.00026428117,3.6297402e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071897434,0.000026113506,0.00023304671,0.000033410317,0.000051297997,3.6615262e-8,0.00071509543,0.98263997,0.0003812682,0.002465069,0.013229993,0.00021751311],"study_design_scores_gemma":[0.0007121821,0.000004591795,0.00004196062,0.0003062702,0.000030305235,0.0000026387727,0.00020135671,0.9911518,0.0001589042,0.004630435,0.0026743931,0.00008515512],"about_ca_topic_score_codex":0.000004900496,"about_ca_topic_score_gemma":0.00017957026,"teacher_disagreement_score":0.8549397,"about_ca_system_score_codex":0.00034252368,"about_ca_system_score_gemma":0.00016419933,"threshold_uncertainty_score":0.5772817},"labels":[],"label_agreement":null},{"id":"W4410114773","doi":"10.1109/twc.2025.3565472","title":"Physically-Consistent Multi-Band Massive MIMO Systems: A Radio Resource Management Model","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; MIMO; Radio resource management; Telecommunications; Resource management (computing); Wireless; Computer network; Wireless network; Channel (broadcasting)","score_opus":0.02008811273254939,"score_gpt":0.25157012729826383,"score_spread":0.23148201456571443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410114773","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":[0.00048284457,0.0005249339,0.9867605,0.000293811,0.0002878965,0.00090350857,0.00007972616,0.00072426314,0.009942491],"genre_scores_gemma":[0.96926665,0.00090322614,0.025216037,0.000060366307,0.0000122376705,0.0010367774,0.00002801833,0.00006495299,0.0034117086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986479,0.000118021264,0.00050740794,0.00029053487,0.00015265768,0.0002834272],"domain_scores_gemma":[0.99750423,0.0001699154,0.00007503504,0.0020564501,0.00010705972,0.00008731317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000103368366,0.00028119356,0.00031925004,0.00033284508,0.00046861597,0.00007456163,0.00072166574,0.0001254,0.0000034108039],"category_scores_gemma":[0.0000021152996,0.00031972426,0.00014260304,0.00058387785,0.00012265037,0.00018243497,0.0000079067895,0.00040415127,0.000035690588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010725288,0.00024824977,9.223448e-7,0.00017432692,0.00025426006,0.000001067353,0.0002467107,0.9844674,0.001654946,0.0029631793,0.00034518007,0.009633029],"study_design_scores_gemma":[0.00067127746,0.000010790685,0.000004977035,0.00038946717,0.00015108872,0.0000020981117,0.000540778,0.9923017,0.0037052566,0.00003448828,0.0019196508,0.00026842902],"about_ca_topic_score_codex":0.000017334187,"about_ca_topic_score_gemma":0.000054254062,"teacher_disagreement_score":0.96878386,"about_ca_system_score_codex":0.00039763996,"about_ca_system_score_gemma":0.000030756895,"threshold_uncertainty_score":0.9999255},"labels":[],"label_agreement":null},{"id":"W4410213196","doi":"10.18280/mmep.120433","title":"Deep Reinforcement Learning Based IoMT Networks Power Enhancement Through Adaptive Data Rate and Transmission Power Control","year":2025,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reinforcement learning; Computer science; Transmission (telecommunications); Power (physics); Data transmission; Power control; Artificial intelligence; Computer network; Telecommunications","score_opus":0.01541487635517664,"score_gpt":0.21589230901908943,"score_spread":0.2004774326639128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410213196","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":[0.00024730217,0.002021531,0.9962159,0.000038249113,0.000094622854,0.00046160165,9.510842e-7,0.00029898036,0.0006208741],"genre_scores_gemma":[0.91138065,0.00026379537,0.088127784,0.000023082439,0.000012213374,0.000043913606,0.000017958442,0.000045609184,0.00008497346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987948,0.000020923047,0.0004275984,0.0003172367,0.00010659509,0.00033287602],"domain_scores_gemma":[0.9993835,0.00017736688,0.000038167393,0.00028234618,0.00003551931,0.000083105624],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003382314,0.00027169683,0.00033381593,0.00007391931,0.00009127919,0.000066015375,0.000119517565,0.0001201346,0.000017275008],"category_scores_gemma":[0.000022693539,0.00025359474,0.000027086184,0.00013936221,0.000023371098,0.00022662368,0.00004292698,0.00027069202,0.0000021218818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001375929,0.000013365905,8.8907944e-7,0.00048000112,0.00006129985,0.0000010372331,0.0004053163,0.99633425,0.0002892553,0.0020955626,0.000009720023,0.00029551916],"study_design_scores_gemma":[0.0006408701,0.000051718653,5.022639e-7,0.00092054496,0.000044097553,0.0000015912683,0.000038559858,0.9967915,0.00014087587,0.0007429783,0.0003781427,0.00024864983],"about_ca_topic_score_codex":0.0000022687038,"about_ca_topic_score_gemma":1.273936e-7,"teacher_disagreement_score":0.91113335,"about_ca_system_score_codex":0.000044568842,"about_ca_system_score_gemma":0.000007638333,"threshold_uncertainty_score":0.99999166},"labels":[],"label_agreement":null},{"id":"W4410227024","doi":"10.1109/wcnc61545.2025.10978506","title":"Performance Evaluation of MU-MIMO Systems with Multi-Antenna Users for Different Precoding Strategies","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Precoding; MIMO; Computer science; Zero-forcing precoding; Antenna (radio); Electronic engineering; 3G MIMO; Telecommunications; Engineering","score_opus":0.031307635780099,"score_gpt":0.274979050567323,"score_spread":0.24367141478722404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410227024","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":[0.26380464,0.00016706565,0.7332202,0.0000027781277,0.0003449627,0.0009333743,0.0000046229607,0.00013649398,0.0013858405],"genre_scores_gemma":[0.99283046,0.00002472268,0.00653439,0.0000011425955,0.000019395413,0.00030449318,0.000014331932,0.0000204984,0.0002505708],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930626,0.000020047524,0.0002684595,0.00012925414,0.00013449941,0.00014145169],"domain_scores_gemma":[0.99945194,0.00004547146,0.000058892052,0.00016180916,0.00026405562,0.000017812641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019980315,0.00012884116,0.00019238265,0.00011119791,0.00003871552,0.000028920107,0.00007057975,0.000047919526,0.000004140539],"category_scores_gemma":[0.000018649758,0.00010089085,0.000024210269,0.00013165083,0.000013590077,0.00030111423,0.000007981378,0.000039850922,6.766572e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001384724,0.000011681775,0.0027797355,0.0007063489,0.000055932756,2.3162242e-8,0.0001271298,0.99074686,0.004274374,0.00035203857,0.000020201896,0.00091186014],"study_design_scores_gemma":[0.00091630407,0.00003700671,0.0024598166,0.00040044842,0.00006243781,4.3307915e-7,0.0011996141,0.9910722,0.0037272598,0.000005784994,0.000010701542,0.00010801476],"about_ca_topic_score_codex":0.0000140786415,"about_ca_topic_score_gemma":0.00006412658,"teacher_disagreement_score":0.72902584,"about_ca_system_score_codex":0.00012963614,"about_ca_system_score_gemma":0.00003484484,"threshold_uncertainty_score":0.41142094},"labels":[],"label_agreement":null},{"id":"W4410985765","doi":"10.1109/access.2025.3576190","title":"Decentralized and Joint Resource Allocation, Beamforming, and Beamcombining for 5G Networks With Heterogeneous MARL","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Terry Fox Research Institute; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Telefonaktiebolaget LM Ericsson","keywords":"Computer science; Beamforming; Joint (building); Resource allocation; Distributed computing; Resource management (computing); Computer network; Telecommunications; Engineering","score_opus":0.011237181154060872,"score_gpt":0.2459183808393167,"score_spread":0.23468119968525583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410985765","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":[0.06024013,0.0013458565,0.9372361,0.000041409803,0.00017059223,0.0004967649,0.0000022115014,0.00016553527,0.00030142223],"genre_scores_gemma":[0.9918767,0.0002071406,0.0075228345,0.00008849657,0.00004016485,0.000119216034,0.000016305508,0.00003645662,0.000092682894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993576,0.000009960521,0.00020544631,0.00018226432,0.00004544952,0.00019928924],"domain_scores_gemma":[0.99965507,0.00005527032,0.000047187314,0.00014442201,0.000048234946,0.000049827864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083659266,0.00013234754,0.0001769909,0.00007609991,0.00009723843,0.00011132124,0.000079762525,0.00006443597,0.0000012508497],"category_scores_gemma":[0.00001563435,0.00012721552,0.000014342077,0.00013755604,0.00002651798,0.00023924609,0.000016165328,0.000060695485,1.2673839e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027210272,0.000004482525,0.0010374883,0.00015971613,0.000044401906,8.782115e-7,0.00009608086,0.9938888,0.00021339228,0.00008100356,0.00034701446,0.0040995646],"study_design_scores_gemma":[0.0018636278,0.0000509614,0.00045858393,0.00039128878,0.00006544873,0.000028174838,0.000060997154,0.9786682,0.012294936,0.0002650652,0.005514319,0.0003384065],"about_ca_topic_score_codex":0.000011961307,"about_ca_topic_score_gemma":0.000036282534,"teacher_disagreement_score":0.9316366,"about_ca_system_score_codex":0.000039142702,"about_ca_system_score_gemma":0.000008576542,"threshold_uncertainty_score":0.5187698},"labels":[],"label_agreement":null},{"id":"W4411019270","doi":"10.1109/comst.2025.3576571","title":"Convergence of MEC and DRL in Non-Terrestrial Wireless Networks: Key Innovations, Challenges, and Future Pathways","year":2025,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Calgary","funders":"National Research Foundation of Korea","keywords":"Convergence (economics); Key (lock); Computer science; Wireless; Computer network; Telecommunications; Computer security; Economics","score_opus":0.029881325138899396,"score_gpt":0.2636891580868095,"score_spread":0.23380783294791008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411019270","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":[0.22138765,0.13250588,0.6081809,0.0016094783,0.023641273,0.004222289,0.00023895448,0.0007276749,0.0074858963],"genre_scores_gemma":[0.9542624,0.04307673,0.0021519626,0.000007678782,0.00029663916,0.000108365886,0.00006018564,0.000021933372,0.000014109593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983253,0.0005713005,0.0006768894,0.00018357021,0.00008023779,0.00016271559],"domain_scores_gemma":[0.99808055,0.0006405652,0.00013933568,0.00095498253,0.00014248454,0.00004205835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016458125,0.00016799384,0.00038486355,0.00022364057,0.00008783474,0.00002326147,0.0003658694,0.00018506663,0.0000015222257],"category_scores_gemma":[0.00015723273,0.0001923748,0.000020386862,0.00059002585,0.00012526591,0.00023738567,0.00011444895,0.00021437719,7.556142e-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":[0.0001547279,0.0006601511,0.013096516,0.0016917698,0.00073385093,0.0000064192636,0.0154101495,0.31828547,0.027181592,0.19296755,0.0038092993,0.4260025],"study_design_scores_gemma":[0.010746565,0.00019157151,0.0809011,0.0027016622,0.00020718278,0.0000151256645,0.0046363967,0.83303136,0.005811563,0.007346552,0.051832754,0.0025781477],"about_ca_topic_score_codex":0.000117475654,"about_ca_topic_score_gemma":0.00070128357,"teacher_disagreement_score":0.73287475,"about_ca_system_score_codex":0.00006856833,"about_ca_system_score_gemma":0.000063150525,"threshold_uncertainty_score":0.7844817},"labels":[],"label_agreement":null},{"id":"W4411025202","doi":"10.1007/978-981-96-6459-7_27","title":"Machine Learning for Dynamic Spectrum Allocation in 6G Non-Terrestrial Networks","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","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":"École de Technologie Supérieure; Concordia University","funders":"","keywords":"Computer science; Spectrum (functional analysis); Artificial intelligence; Physics","score_opus":0.013304028183902732,"score_gpt":0.2594240746086023,"score_spread":0.24612004642469956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411025202","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":[0.000008469975,0.0005089683,0.967278,0.00009803227,0.00041441646,0.00067063514,0.000007602468,0.00007874654,0.030935127],"genre_scores_gemma":[0.8317917,0.020794071,0.1411862,0.00022954457,0.00015518593,0.00034571474,0.0020207982,0.00006374998,0.0034130309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989411,0.000012563339,0.0006205263,0.00014248707,0.00010889843,0.00017438183],"domain_scores_gemma":[0.9989754,0.0001662472,0.00015062212,0.0005988895,0.00007526744,0.00003359898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105906,0.00017026819,0.00021333488,0.0008880282,0.00017930612,0.0001424578,0.0006467001,0.0001340206,0.000001914287],"category_scores_gemma":[0.000030584535,0.00019885521,0.000027696247,0.00032186636,0.00014954747,0.0019252644,0.00026698833,0.0004103896,0.0000036967704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003587071,0.0000028358838,0.000019159479,0.000042584943,0.0000029820671,4.0882213e-8,0.0002617402,0.9380246,7.746454e-7,0.00981787,0.000028808714,0.051795006],"study_design_scores_gemma":[0.0003819913,0.000017492652,0.0000907573,0.00029496002,0.000003838163,0.0000018963993,0.000008422398,0.983833,0.0000014300782,0.0007237153,0.014473244,0.0001692416],"about_ca_topic_score_codex":0.000011778814,"about_ca_topic_score_gemma":0.000100825804,"teacher_disagreement_score":0.83178324,"about_ca_system_score_codex":0.00030988947,"about_ca_system_score_gemma":0.00007899461,"threshold_uncertainty_score":0.810908},"labels":[],"label_agreement":null},{"id":"W4411026794","doi":"10.1007/978-981-96-6459-7_1","title":"An Energy-Efficient WSN Routing Protocol Using Genetic Algorithms and Predictive Coding","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","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":"Concordia University; École de Technologie Supérieure","funders":"","keywords":"Computer science; Coding (social sciences); Routing algorithm; Algorithm; Routing protocol; Routing (electronic design automation); Computer network; Mathematics; Statistics","score_opus":0.024148088330016537,"score_gpt":0.2907780321442811,"score_spread":0.2666299438142646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411026794","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":[0.000014191924,0.00007326852,0.96833956,0.000006926387,0.000103054765,0.004617065,0.000017263059,0.00009573295,0.026732951],"genre_scores_gemma":[0.09444424,0.00077259913,0.89889824,0.00016316235,0.00010531737,0.005162538,0.00012726853,0.00004480924,0.00028180494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897265,0.000018005681,0.0005261885,0.00016535245,0.00016460981,0.00015317815],"domain_scores_gemma":[0.99878913,0.00006514567,0.0001550642,0.00071568554,0.00021225179,0.00006274598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003249046,0.00017393696,0.00017377659,0.0006142051,0.00035187093,0.00023945095,0.00052788033,0.00009721385,0.0000014040862],"category_scores_gemma":[0.000012613736,0.00019189843,0.000014122289,0.00024363917,0.00030200023,0.0017982785,0.00042120516,0.00019981443,7.4272407e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001329791,0.0000048081138,0.00001558457,0.00007158439,0.000004324549,1.0811353e-7,0.00096539286,0.8874468,0.000010966121,0.023608455,0.000006875001,0.087863766],"study_design_scores_gemma":[0.00017201519,0.000018593428,0.000081814265,0.00041360216,0.000005412199,0.00000956949,0.00003647741,0.99611056,0.000015881107,0.00023768908,0.0027248708,0.00017351679],"about_ca_topic_score_codex":0.000007377925,"about_ca_topic_score_gemma":0.0000021747965,"teacher_disagreement_score":0.10866375,"about_ca_system_score_codex":0.00021830139,"about_ca_system_score_gemma":0.000091985996,"threshold_uncertainty_score":0.7825391},"labels":[],"label_agreement":null},{"id":"W4411142968","doi":"10.1109/twc.2025.3575621","title":"An Iterative Resource Allocation and Precoder Design for Wideband mmWave MIMO-OFDM System With Large-Scale Users","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Computer science; Orthogonal frequency-division multiplexing; Precoding; MIMO; Wideband; MIMO-OFDM; Computer network; Resource allocation; Electronic engineering; Telecommunications; Channel (broadcasting); Engineering","score_opus":0.016850438834003268,"score_gpt":0.25163448193181853,"score_spread":0.23478404309781525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411142968","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":[0.0022621565,0.00019893103,0.9947274,0.00020355349,0.00010487945,0.0013748825,0.00010845139,0.0005110507,0.0005087425],"genre_scores_gemma":[0.91566956,0.0001284295,0.08256464,0.000037023423,0.000009937189,0.0011954857,0.0000630411,0.000057457215,0.00027443698],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989065,0.00017986895,0.0003338473,0.00027075683,0.0000873845,0.00022162938],"domain_scores_gemma":[0.9981018,0.00041393348,0.00006825245,0.0011584574,0.00017912859,0.000078438716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020720654,0.00022474925,0.0002417087,0.00023276718,0.00062630535,0.0000886205,0.0003229596,0.00012753645,0.0000023809384],"category_scores_gemma":[0.0000031198595,0.00023115828,0.000041141593,0.00039015693,0.00009007722,0.0004227863,0.000002554205,0.00022282438,0.0000022449713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076182325,0.00012212117,0.000014501986,0.00015825093,0.00011713766,1.4312938e-7,0.0023972737,0.99059796,0.0023609884,0.0009293757,0.0000990789,0.0031270112],"study_design_scores_gemma":[0.0009430717,0.00010332981,0.000018160186,0.00039472568,0.00010305562,0.0000054780794,0.0027885444,0.980638,0.013882447,0.000024310277,0.0008495396,0.00024929584],"about_ca_topic_score_codex":0.000015731926,"about_ca_topic_score_gemma":0.0005302404,"teacher_disagreement_score":0.9134074,"about_ca_system_score_codex":0.00020677366,"about_ca_system_score_gemma":0.00004370656,"threshold_uncertainty_score":0.9426361},"labels":[],"label_agreement":null},{"id":"W4411171637","doi":"10.1109/tap.2025.3576492","title":"Enhancing Reference Signal Received Power Prediction Accuracy in Wireless Outdoor Settings: A Comprehensive Feature Importance Study","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Computer science; Wireless; Feature (linguistics); SIGNAL (programming language); Power (physics); Artificial intelligence; Speech recognition; Telecommunications","score_opus":0.0107761704205128,"score_gpt":0.24487473398442927,"score_spread":0.23409856356391648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411171637","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":[0.3641374,0.00010021206,0.63400567,0.00009280595,0.0003305828,0.0009180139,0.00002335973,0.00021825696,0.00017371707],"genre_scores_gemma":[0.9987219,0.00014754865,0.0006939465,0.000060545102,0.000013464982,0.00015862742,0.000015315356,0.000023580102,0.00016506427],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99893695,0.00007129755,0.00036886113,0.0003143923,0.000121752586,0.00018672303],"domain_scores_gemma":[0.9994793,0.000093438495,0.000077829194,0.0001681913,0.00014192893,0.000039292696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013154003,0.00020395864,0.0002252087,0.00025753095,0.00014623937,0.000049544815,0.00006333859,0.0001248981,0.000013326666],"category_scores_gemma":[0.000009115955,0.00020556316,0.000028352742,0.0004735325,0.000024195186,0.0003980929,0.0000011964052,0.000375313,0.000003789749],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006411278,0.0006405915,0.0035248948,0.00073343096,0.00024909322,0.00003037979,0.0071216673,0.45379898,0.49137956,0.00008591811,0.00021385531,0.041580487],"study_design_scores_gemma":[0.005537381,0.0007990106,0.024862548,0.002688904,0.0001606098,0.00003280938,0.01271372,0.8257365,0.12570694,0.00016928559,0.000480427,0.0011118194],"about_ca_topic_score_codex":0.000021275095,"about_ca_topic_score_gemma":0.00033048942,"teacher_disagreement_score":0.6345845,"about_ca_system_score_codex":0.0001438746,"about_ca_system_score_gemma":0.000027752336,"threshold_uncertainty_score":0.83826226},"labels":[],"label_agreement":null},{"id":"W4411409655","doi":"10.1109/ismvl64713.2025.00012","title":"Enhanced Simulated Bifurcation for MIMO Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bifurcation; MIMO; Computer science; Control theory (sociology); Physics; Nonlinear system; Artificial intelligence; Telecommunications","score_opus":0.005229872172892496,"score_gpt":0.23516854765009879,"score_spread":0.22993867547720628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411409655","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":[0.0070715705,0.000049934468,0.98489845,0.00001285491,0.00046508783,0.0003938769,0.0000012424088,0.0006297593,0.0064772503],"genre_scores_gemma":[0.9912004,0.000007397289,0.006902319,0.000018361876,0.000026747617,0.00005168029,0.000013399738,0.000014177251,0.0017655313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999656,0.00000431137,0.00013653713,0.00009001696,0.000022810167,0.00009028543],"domain_scores_gemma":[0.99977124,0.00004047653,0.000013507765,0.000102092854,0.000060371785,0.000012336234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035732228,0.00006444397,0.00006835974,0.00009176256,0.00003541456,0.000010989368,0.000032514192,0.000057897487,0.000009535179],"category_scores_gemma":[0.000037852315,0.000068594345,0.000021908121,0.00022248697,0.0000036535628,0.00010875371,0.000003617846,0.000026860132,0.000010494822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005395284,0.0000028537029,0.0000025633085,0.000047855385,0.000010618047,1.19694805e-8,0.000025993824,0.8403798,0.14533134,0.00034677377,0.00006821726,0.013778603],"study_design_scores_gemma":[0.0002129521,0.000006502205,0.000017400207,0.000011860176,0.000005135595,6.937087e-8,0.000020769698,0.6099276,0.388603,0.0002758578,0.0008683754,0.0000505074],"about_ca_topic_score_codex":0.0000033407148,"about_ca_topic_score_gemma":0.000022863873,"teacher_disagreement_score":0.98412883,"about_ca_system_score_codex":0.00007690554,"about_ca_system_score_gemma":0.0000049173877,"threshold_uncertainty_score":0.27971962},"labels":[],"label_agreement":null},{"id":"W4411640186","doi":"10.1109/tvt.2025.3583346","title":"Analyzing Multi-Antenna Wireless Systems: Distribution Functions, Integral Identities, and Performance Metrics","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Wireless; Electronic engineering; Computer science; Antenna (radio); Telecommunications; Engineering","score_opus":0.007048095541714734,"score_gpt":0.2129490223409281,"score_spread":0.20590092679921337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411640186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1339218,0.0015010345,0.86191297,0.000039055718,0.0013052183,0.00028553975,0.000055448592,0.0009568717,0.00002205325],"genre_scores_gemma":[0.9971653,0.001012774,0.0011471898,0.0000049827295,0.0000120600125,0.00016830611,0.00002799101,0.000028012953,0.00043337265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899274,0.000027149234,0.000355402,0.00027494458,0.00008686592,0.0002628733],"domain_scores_gemma":[0.9994369,0.000034150544,0.000050122973,0.00031491736,0.00012755945,0.00003635555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011578973,0.00021679916,0.0002770204,0.00097031624,0.00024725453,0.0000463936,0.00013307577,0.00032525105,0.0000025685713],"category_scores_gemma":[0.000011959401,0.00023268379,0.00005651219,0.0017341651,0.000100398014,0.00025056436,0.0000028025836,0.0004522194,0.000013535691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029636583,0.00012586905,0.0014931317,0.0007621967,0.00041124926,0.000013074217,0.00004579429,0.94462126,0.012685645,0.0011630845,0.00021191896,0.03843715],"study_design_scores_gemma":[0.0005468573,0.000055902332,0.00013205697,0.00025290897,0.00011436864,0.000038397604,0.00043315944,0.98431176,0.013456576,0.000020942667,0.00038811055,0.00024893938],"about_ca_topic_score_codex":0.000020474114,"about_ca_topic_score_gemma":0.00002064182,"teacher_disagreement_score":0.8632435,"about_ca_system_score_codex":0.00032728093,"about_ca_system_score_gemma":0.00001924153,"threshold_uncertainty_score":0.94885695},"labels":[],"label_agreement":null},{"id":"W4411996778","doi":"10.1109/tvt.2025.3584960","title":"RIS-Aided Semi-Coherent MIMO Symbiotic Radio","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Vehicular Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"MIMO; Radio frequency; Electronic engineering; Computer science; Engineering; Telecommunications; Beamforming","score_opus":0.005034724383226164,"score_gpt":0.21157335604592326,"score_spread":0.2065386316626971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411996778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024981558,0.00060207385,0.96931124,0.00031186242,0.001154775,0.0004643722,0.000010780255,0.0023092947,0.0008540294],"genre_scores_gemma":[0.9950548,0.00013614181,0.0037008184,0.00003765684,0.000015852142,0.00017711484,0.0000039983274,0.00005084334,0.0008227892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988886,0.000025699868,0.0003395564,0.00031685224,0.00009639345,0.00033286834],"domain_scores_gemma":[0.9992446,0.00003875033,0.000034786746,0.0005779071,0.00006020185,0.000043800486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000061782914,0.00025164764,0.00030192567,0.0007686041,0.00013154073,0.00001733643,0.00023601958,0.0004569833,0.00004144555],"category_scores_gemma":[0.000007155946,0.00027832328,0.00010550514,0.0010594376,0.00008486409,0.00009644589,0.0000015751868,0.0005111634,0.00011240016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008003628,0.00006744931,0.000016217637,0.00009190094,0.00016185542,0.000014042072,0.00002586422,0.94391185,0.044389162,0.0006727427,0.00032053233,0.010320401],"study_design_scores_gemma":[0.0012467629,0.00010082548,0.000018308074,0.00029640397,0.00015549267,0.000059869904,0.00017289148,0.25095373,0.74035263,0.0012415644,0.0048806327,0.00052089436],"about_ca_topic_score_codex":0.0000068491713,"about_ca_topic_score_gemma":0.0000343163,"teacher_disagreement_score":0.9700732,"about_ca_system_score_codex":0.00028101052,"about_ca_system_score_gemma":0.000024702524,"threshold_uncertainty_score":0.9999669},"labels":[],"label_agreement":null},{"id":"W4412046879","doi":"10.1007/s40998-025-00844-z","title":"CF-mMIMO Performance Analysis Under Central Processor Configuration Using Independent Precoding Sub-Units","year":2025,"lang":"en","type":"article","venue":"Iranian Journal of Science and Technology Transactions of Electrical Engineering","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":"Queen's University","funders":"","keywords":"Precoding; Computer science; Parallel computing; Computer architecture; Telecommunications; MIMO","score_opus":0.00703119606851966,"score_gpt":0.2124296587672337,"score_spread":0.20539846269871403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412046879","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":[0.3980011,0.00030772682,0.60145533,0.000025257823,0.00009340675,0.000054959834,6.782381e-7,0.000042902895,0.00001866512],"genre_scores_gemma":[0.9948222,0.00018997614,0.004961341,0.0000023882728,0.000009093656,0.000002356284,2.0992991e-7,0.0000079175825,0.0000044904373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998991,0.000005223469,0.0004247443,0.00012302621,0.00019155718,0.00026441272],"domain_scores_gemma":[0.99922675,0.000029373781,0.000099549005,0.0000925183,0.0004923209,0.00005947916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002636295,0.00011364756,0.0002594401,0.0025259713,0.00012954672,0.00002552208,0.00019440288,0.000112363145,0.0000023470902],"category_scores_gemma":[0.000072920026,0.00011443989,0.000036074336,0.0076342137,0.00014761683,0.00060918514,0.000004144979,0.00032554424,9.1058276e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005021696,0.0000104563105,0.00044209557,0.000049085575,0.00009894528,9.1248916e-7,0.00005571984,0.8340384,0.15946132,0.00020520104,2.7024774e-7,0.005632616],"study_design_scores_gemma":[0.00023084806,0.000060418977,0.0009855886,0.00009447455,0.00017196522,0.000045855995,0.000097184966,0.7859045,0.21228217,0.000029652354,0.0000053441927,0.00009197094],"about_ca_topic_score_codex":0.0000013819086,"about_ca_topic_score_gemma":0.0000018947644,"teacher_disagreement_score":0.5968211,"about_ca_system_score_codex":0.00020247049,"about_ca_system_score_gemma":0.00017591748,"threshold_uncertainty_score":0.46667233},"labels":[],"label_agreement":null},{"id":"W4412164410","doi":"10.1109/ojcoms.2025.3587077","title":"HAPS-ISAC: Enhancing Sensing and Communication in 6G Networks With Advanced MIMO Beamforming","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Beamforming; MIMO; Computer science; Computer network; Telecommunications","score_opus":0.011088759479790607,"score_gpt":0.2638227254260053,"score_spread":0.2527339659462147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412164410","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":[0.03468974,0.008028125,0.95185614,0.0015162702,0.000284897,0.0007213454,0.0000019871263,0.000053351298,0.0028481544],"genre_scores_gemma":[0.7794156,0.0029356258,0.21746808,0.000089404275,0.0000103955435,0.0000070148703,0.0000018849133,0.000018844064,0.000053130563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990207,0.00015485079,0.0005187447,0.00007660197,0.00008220248,0.00014692363],"domain_scores_gemma":[0.9980863,0.00030019454,0.00028518835,0.0011203156,0.00017629197,0.00003175065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007549865,0.00012341015,0.0002476536,0.000052303418,0.0003912456,0.00011350925,0.0013367458,0.00007213871,6.4834734e-7],"category_scores_gemma":[0.000044827284,0.00009936571,0.00006422936,0.00053512666,0.00012275329,0.0006432278,0.00039013778,0.00058141054,2.0867833e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011403442,0.00001852997,0.0004309661,0.000030653526,0.00007676318,1.8342266e-7,0.001922171,0.98704344,0.0022980254,0.00015469252,0.000343542,0.0076696267],"study_design_scores_gemma":[0.0014897146,0.000025688532,0.0006350253,0.0031555153,0.00007851229,0.00006471787,0.00499096,0.98427635,0.0023573788,0.0004392515,0.0022431233,0.00024378047],"about_ca_topic_score_codex":0.000038257513,"about_ca_topic_score_gemma":0.00060506153,"teacher_disagreement_score":0.7447259,"about_ca_system_score_codex":0.00025414495,"about_ca_system_score_gemma":0.00006832371,"threshold_uncertainty_score":0.40520158},"labels":[],"label_agreement":null},{"id":"W4412404743","doi":"10.1109/otcon65728.2025.11070836","title":"Analysis and Comparison of Pre-Coding Techniques' Performance in the Massive MIMO Downlink For 5G Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Telecommunications link; MIMO; Computer science; Coding (social sciences); Computer network; Mathematics; Statistics; Channel (broadcasting)","score_opus":0.008100213311347308,"score_gpt":0.2647040150513935,"score_spread":0.2566038017400462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412404743","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":[0.013692287,0.00023939101,0.9820777,0.0000224135,0.0000329386,0.000420691,0.0000014003172,0.00006749809,0.0034456747],"genre_scores_gemma":[0.9845533,0.00008100026,0.0151633965,0.000010572973,0.0000122833935,0.00008925006,0.00001010558,0.0000056047284,0.0000745163],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999519,0.000012617068,0.00024486604,0.000088409884,0.000035208217,0.00009992152],"domain_scores_gemma":[0.99967635,0.000112007525,0.000039709554,0.00013331522,0.00003083591,0.00000780957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015310395,0.000072117924,0.00019461384,0.00017309267,0.000027733879,0.00001129399,0.000081248385,0.000057676058,0.000001858163],"category_scores_gemma":[0.000013072887,0.000055678996,0.000030301217,0.0005925182,0.000013724943,0.0000782771,0.000008023491,0.00007345047,5.886863e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007131219,0.0000057878215,0.029701699,0.00010873795,0.00005046933,3.6619976e-8,0.00022223771,0.96366256,0.00011575941,0.00033930325,0.00006243803,0.005723855],"study_design_scores_gemma":[0.000103340244,0.000013683114,0.005236919,0.000051115232,0.000060274528,9.839518e-8,0.0001639344,0.9887475,0.0054559214,0.000018180845,0.00009383823,0.00005521738],"about_ca_topic_score_codex":0.000011678354,"about_ca_topic_score_gemma":0.00007847008,"teacher_disagreement_score":0.97086096,"about_ca_system_score_codex":0.000026203124,"about_ca_system_score_gemma":0.0000032289015,"threshold_uncertainty_score":0.22705235},"labels":[],"label_agreement":null},{"id":"W4412431374","doi":"10.1109/noms57970.2025.11073732","title":"Blink: A P4-Based 5G Centralized Unit","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Unit (ring theory); Psychology; Mathematics education","score_opus":0.00851089414142677,"score_gpt":0.2376620464272413,"score_spread":0.22915115228581454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412431374","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":[0.0017334739,0.00011646285,0.9246575,0.00008881572,0.0002942475,0.00016099183,0.0000019653785,0.00076277717,0.07218372],"genre_scores_gemma":[0.972001,0.000013897396,0.021782184,0.00015802069,0.000024136141,0.000024659576,0.000022152566,0.000022854885,0.0059510632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958736,0.000010058675,0.00013735984,0.000082662234,0.000040150902,0.00014241306],"domain_scores_gemma":[0.9997398,0.00002947872,0.000009326098,0.00016190071,0.000030451616,0.000029045726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000331235,0.00008094774,0.000095715885,0.00009249473,0.000021987214,0.000015538211,0.000066299486,0.000049671664,0.0001743062],"category_scores_gemma":[0.000019294515,0.00008036972,0.000025634648,0.00029759944,0.000007560186,0.00006326781,0.0000047575145,0.00005270159,0.000047376318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046434748,0.000007980692,0.00040417083,0.00006783396,0.000015725738,0.0000012203553,0.000015245985,0.9902299,0.002608144,0.0037583807,0.0021631385,0.0007236118],"study_design_scores_gemma":[0.0012495293,0.000005703086,0.00028313315,0.000079346544,0.000015315025,3.8034e-7,0.00003442456,0.93298995,0.03335087,0.00029478027,0.03150521,0.00019133058],"about_ca_topic_score_codex":0.000011176584,"about_ca_topic_score_gemma":0.000030735286,"teacher_disagreement_score":0.97026753,"about_ca_system_score_codex":0.000042252144,"about_ca_system_score_gemma":0.000016777236,"threshold_uncertainty_score":0.3277382},"labels":[],"label_agreement":null},{"id":"W4412445798","doi":"10.1109/noms57970.2025.11073660","title":"Multi-Connectivity for Enhanced Throughput: a Critical Study","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rogers Communications (Canada); University of Waterloo","funders":"","keywords":"Throughput; Computer science; Computer network; Telecommunications; Wireless","score_opus":0.017381926711037297,"score_gpt":0.32123833067997287,"score_spread":0.3038564039689356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412445798","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":[0.011361681,0.000052875923,0.98278576,0.000033345816,0.00050962914,0.0008424816,0.0000037649302,0.0005181223,0.0038923107],"genre_scores_gemma":[0.9161769,0.0000015034453,0.08290084,0.000025002506,0.000027097303,0.00028138608,0.0000015338817,0.000016450835,0.000569277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946785,0.00001430996,0.00015570513,0.00016776015,0.000035663354,0.00015870066],"domain_scores_gemma":[0.99949235,0.00023533005,0.000006521634,0.00017510838,0.000068471665,0.000022221928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008623616,0.00009788112,0.00014992697,0.000048390622,0.00005345534,0.00001794955,0.000061852894,0.00004441067,0.000014062299],"category_scores_gemma":[0.00029309475,0.00009702721,0.00003196638,0.0001432687,0.000011869859,0.00014431977,0.000017481163,0.000051484036,0.000008477825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007446861,0.0013660089,0.0011949124,0.0009012302,0.00031574702,0.0000039932575,0.0025667152,0.8496125,0.10364661,0.024355328,0.002069467,0.013893029],"study_design_scores_gemma":[0.0026350727,0.00012428462,0.0010452304,0.000054412194,0.000047199326,6.8903034e-7,0.0016851336,0.9244753,0.06803869,0.0010667959,0.00048493783,0.00034226535],"about_ca_topic_score_codex":0.000008027228,"about_ca_topic_score_gemma":0.00010950408,"teacher_disagreement_score":0.90481526,"about_ca_system_score_codex":0.00006304191,"about_ca_system_score_gemma":0.000009077777,"threshold_uncertainty_score":0.39566547},"labels":[],"label_agreement":null},{"id":"W4412623658","doi":"10.1109/tcomm.2025.3592581","title":"Handoff Design in User-Centric Cell-Free Massive MIMO Networks Using DRL","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ericsson (Canada); Ontario Tech University; University of Toronto; Royal Military College of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"MIMO; Computer science; Handover; Computer network; Electronic engineering; Telecommunications; Engineering","score_opus":0.023007865553227185,"score_gpt":0.2539787545558812,"score_spread":0.23097088900265403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412623658","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":[0.00021622487,0.0010615442,0.9941008,0.0001485273,0.0005033676,0.0006374184,0.00001839087,0.00031220034,0.0030015293],"genre_scores_gemma":[0.9186909,0.0016062157,0.0789206,0.000038302533,0.0000125687275,0.00020713468,0.0000095266605,0.00004682244,0.00046793366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988623,0.00018368383,0.00041870977,0.00018276782,0.000082249266,0.000270271],"domain_scores_gemma":[0.99758583,0.00045159436,0.000054893288,0.0017762014,0.0000778943,0.000053558215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014229749,0.00019674479,0.00021541204,0.000491876,0.00030311404,0.000045830224,0.0006924428,0.00015039083,0.00001857849],"category_scores_gemma":[0.000010633307,0.00024077603,0.00007301248,0.0013131364,0.00006503018,0.00024083431,0.000008201629,0.00048415526,0.000013615245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010039067,0.00012045627,0.000012212144,0.00002209382,0.00002937581,7.8784313e-7,0.00010919607,0.9971072,0.0008323955,0.00014398784,0.000289435,0.0013228167],"study_design_scores_gemma":[0.00089670287,0.000011812132,0.000017242708,0.00015818074,0.00005097706,0.0000016722564,0.00012119647,0.9932908,0.004576825,0.00017663944,0.0005026763,0.00019530344],"about_ca_topic_score_codex":0.000072237555,"about_ca_topic_score_gemma":0.0002804842,"teacher_disagreement_score":0.9184747,"about_ca_system_score_codex":0.00042832003,"about_ca_system_score_gemma":0.00006168804,"threshold_uncertainty_score":0.98185617},"labels":[],"label_agreement":null},{"id":"W4412752801","doi":"10.22214/ijraset.2025.73375","title":"Private 5G Network: Security, Challenges, and Comparison with Wi-Fi","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Computer network; Computer security; Computer science; Private network; Business; Telecommunications","score_opus":0.03809156143700882,"score_gpt":0.3541952740207265,"score_spread":0.31610371258371767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412752801","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":[0.23850736,0.014180858,0.7268108,0.006922919,0.0022578302,0.0017864759,0.000008400976,0.0008055405,0.008719818],"genre_scores_gemma":[0.9854756,0.0016059371,0.012757791,0.0000061907763,0.000060074904,0.00007463088,8.0185873e-7,0.000011850004,0.0000070966394],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998896,0.0000046490018,0.00019894325,0.00019451701,0.0003021987,0.00040369199],"domain_scores_gemma":[0.99951714,0.0000855175,0.000022308499,0.00010093457,0.00021632285,0.00005776314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012545702,0.00009275723,0.00013997355,0.0012223166,0.00011678881,0.0000960483,0.00041501483,0.00008194169,4.6583065e-7],"category_scores_gemma":[0.000101662205,0.00008652255,0.0000067079413,0.00072081917,0.0002370187,0.00015337049,0.0001275703,0.00048610644,4.5520463e-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":[0.000051181123,0.00002387048,0.00046897787,0.00012759019,0.00005479601,0.000016908845,0.0003046182,0.4440073,0.009597461,0.46420148,0.00020790668,0.0809379],"study_design_scores_gemma":[0.0012964667,0.00010950204,0.0005055168,0.0005450882,0.000004219904,0.00017259222,0.0006262798,0.89873385,0.0038186903,0.071101494,0.022832843,0.00025344078],"about_ca_topic_score_codex":9.403739e-7,"about_ca_topic_score_gemma":0.000010352063,"teacher_disagreement_score":0.74696827,"about_ca_system_score_codex":0.00022661366,"about_ca_system_score_gemma":0.000047272995,"threshold_uncertainty_score":0.35282874},"labels":[],"label_agreement":null},{"id":"W4413120628","doi":"10.1109/tccn.2025.3596939","title":"Learning Value of Information Towards Joint Communication and Control in 6G V2X","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Joint (building); Control (management); Value (mathematics); Power control; Computer network; Power (physics); Artificial intelligence; Machine learning","score_opus":0.012631812964731615,"score_gpt":0.2426905584862469,"score_spread":0.23005874552151528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413120628","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":[0.009869752,0.002769325,0.98330086,0.00010860822,0.00009085235,0.0003833315,0.000012910396,0.00009270419,0.0033716366],"genre_scores_gemma":[0.9828256,0.014111908,0.0028441027,0.000057586858,0.000004813875,0.000111868176,0.000018736644,0.000011178318,0.000014227196],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917847,0.00016638705,0.00039853124,0.00008357107,0.00005542006,0.00011764908],"domain_scores_gemma":[0.9990818,0.00039689185,0.000086346576,0.00028737503,0.00012148941,0.000026082993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028719346,0.00011832136,0.0001978999,0.0003141836,0.00023117712,0.000033660337,0.00011352004,0.00008144232,0.0000023132968],"category_scores_gemma":[0.000011937633,0.00013808718,0.00002785481,0.0003991266,0.00011535614,0.00034784526,0.0000071919935,0.00036257936,9.292139e-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":[0.000050769882,0.000065999564,0.00069867924,0.00017979347,0.00011520192,1.3444198e-7,0.0022823182,0.3821944,0.0005239711,0.0008828287,0.0000065069303,0.6129994],"study_design_scores_gemma":[0.0012887082,0.000050471997,0.0014343788,0.0013171204,0.000064411506,0.0000025946606,0.0013759886,0.99247193,0.0009323464,0.00033589252,0.00056477723,0.00016136415],"about_ca_topic_score_codex":0.000060215803,"about_ca_topic_score_gemma":0.000097680895,"teacher_disagreement_score":0.98045677,"about_ca_system_score_codex":0.000057498604,"about_ca_system_score_gemma":0.000018637955,"threshold_uncertainty_score":0.5631032},"labels":[],"label_agreement":null},{"id":"W4413144476","doi":"10.1109/ipdpsw66978.2025.00016","title":"Collaborative Bandwidth-Efficient Intra-Node Allreduce","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Bandwidth (computing); Node (physics); Computer network; Engineering","score_opus":0.0031401700287506788,"score_gpt":0.2211537308634152,"score_spread":0.21801356083466453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413144476","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":[0.0028579328,0.00036901297,0.8440765,0.00010862162,0.0005714331,0.0002265327,0.0000048867964,0.00045551328,0.15132956],"genre_scores_gemma":[0.9742744,0.00003541097,0.02227494,0.000090530826,0.000033962344,0.000047909936,0.000008526203,0.000019131538,0.0032152075],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951255,0.000012149804,0.00015897438,0.00012108865,0.000052399373,0.00014280766],"domain_scores_gemma":[0.99969274,0.00003278918,0.000012548121,0.00015433093,0.00007783612,0.000029755964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000048246122,0.00009946424,0.00011243524,0.00008338356,0.000037116333,0.000022015212,0.00007216358,0.000048627913,0.00006586315],"category_scores_gemma":[0.000028595685,0.000096261305,0.00001614109,0.00048788107,0.00001479357,0.00005789347,0.0000151289005,0.000059961196,0.00004747083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002555229,0.000009706228,0.00002217247,0.000025427998,0.000020437537,8.0144486e-7,0.00017301393,0.9828738,0.003783676,0.0057267216,0.0063443845,0.0010173256],"study_design_scores_gemma":[0.00049036357,0.000010091821,0.00010372866,0.00007281494,0.000014171687,0.0000013383253,0.0006505698,0.91956633,0.061767764,0.00022259378,0.016853534,0.0002466722],"about_ca_topic_score_codex":0.000003870492,"about_ca_topic_score_gemma":0.000008323728,"teacher_disagreement_score":0.9714165,"about_ca_system_score_codex":0.00010414181,"about_ca_system_score_gemma":0.000026269394,"threshold_uncertainty_score":0.3925422},"labels":[],"label_agreement":null},{"id":"W4413204028","doi":"10.1109/icetea64585.2025.11100088","title":"Neural Network-Based Beamforming Techniques for Optimized Coverage in Cellular Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Beamforming; Computer science; Artificial neural network; Cellular network; Computer network; Artificial intelligence; Telecommunications","score_opus":0.005552955842828038,"score_gpt":0.22051629617956728,"score_spread":0.21496334033673925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413204028","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":[0.00040099974,0.00036521562,0.9930947,0.0000280815,0.00037742982,0.00094503973,0.000002063056,0.0007722106,0.0040142573],"genre_scores_gemma":[0.6321604,0.000033816297,0.36649227,0.00019796629,0.00013147909,0.00041227526,0.000066159926,0.000053709336,0.0004519062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908936,0.000017110982,0.00034256178,0.00017009427,0.000044219763,0.00033664913],"domain_scores_gemma":[0.99957275,0.00013841616,0.00003174986,0.00019357364,0.000034520977,0.000028985636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018854521,0.00016756859,0.00024765354,0.00013026426,0.000048444686,0.000029983768,0.00011229365,0.00013160738,0.000010986895],"category_scores_gemma":[0.000020616404,0.00017638275,0.000063781474,0.0003592334,0.000010874658,0.0001606943,0.000018839462,0.0001262926,5.4155754e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026996247,0.00000667208,0.00011790238,0.00006365501,0.000008313183,0.0000013097426,0.0000059322774,0.99403167,0.00032955562,0.0004781856,0.0007502521,0.004179587],"study_design_scores_gemma":[0.0007505588,0.000014055187,0.0000047326857,0.00010075751,0.000008152682,2.5294318e-7,0.000006091423,0.9919868,0.005202178,0.00019484822,0.0015663289,0.00016521635],"about_ca_topic_score_codex":0.000009665376,"about_ca_topic_score_gemma":0.000020392417,"teacher_disagreement_score":0.6317594,"about_ca_system_score_codex":0.00012583782,"about_ca_system_score_gemma":0.000014155696,"threshold_uncertainty_score":0.71926796},"labels":[],"label_agreement":null},{"id":"W4413267664","doi":"10.1109/jiot.2025.3593247","title":"CaMPASS-Net: A Deep Learning Framework on Capacity Maximization for MIMO Pinching Antenna Systems in IoT","year":2025,"lang":"","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"National Research Foundation of Korea","keywords":"MIMO; Computer science; Maximization; 3G MIMO; Antenna (radio); Internet of Things; Net (polyhedron); Multi-user MIMO; Telecommunications; Mathematical optimization; Computer security; Mathematics; Beamforming","score_opus":0.012728379421628458,"score_gpt":0.25214583494673654,"score_spread":0.23941745552510807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413267664","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":[0.06929715,0.0027593265,0.9167101,0.00011275441,0.009661592,0.0009376888,0.000007754466,0.00010283327,0.00041080796],"genre_scores_gemma":[0.9546976,0.00035934302,0.043630827,0.000084998355,0.0005299439,0.00003402193,0.000005126493,0.0001342931,0.00052384916],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995423,0.00037578307,0.0023732875,0.0005524337,0.00046282494,0.0008126252],"domain_scores_gemma":[0.99650484,0.0009665097,0.0014435139,0.00036540502,0.00057001435,0.00014973854],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0018345118,0.0006345015,0.0011392345,0.0013755138,0.0002220664,0.00045144832,0.00068667665,0.00069978327,0.000030102721],"category_scores_gemma":[0.0025482841,0.00070129393,0.00035196723,0.0007962039,0.00008064773,0.00077872584,0.00006929309,0.002794062,0.00000793936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033568146,0.00011566092,0.0012725245,0.0015625014,0.00033338077,0.000019244371,0.010108039,0.9749459,0.004711223,0.002227513,0.00013924121,0.0042290827],"study_design_scores_gemma":[0.0012503471,0.00035431862,0.00012479752,0.02409841,0.00010704914,0.00012051101,0.0013231867,0.96702754,0.0023256843,0.0024340712,0.00032264093,0.00051142374],"about_ca_topic_score_codex":0.0003510681,"about_ca_topic_score_gemma":0.000028321303,"teacher_disagreement_score":0.8854005,"about_ca_system_score_codex":0.0014775188,"about_ca_system_score_gemma":0.00009081975,"threshold_uncertainty_score":0.99954385},"labels":[],"label_agreement":null},{"id":"W4413359129","doi":"10.1109/jiot.2025.3600809","title":"Joint AP Selection and Power Allocation for Unicast–Multicast Cell-Free Massive MIMO","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Iran Telecommunication Research Center; European Research Council; Engineering and Physical Sciences Research Council; UK Research and Innovation; National Research Foundation; Queen's University Belfast; Ministry of Science and ICT, South Korea; Queen's University; European Commission; National Research Foundation of Korea; Department for the Economy","keywords":"Multicast; Computer science; Unicast; Computer network; Joint (building); MIMO; Selection (genetic algorithm); Engineering; Artificial intelligence","score_opus":0.008690919121836569,"score_gpt":0.23378197755665536,"score_spread":0.2250910584348188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413359129","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":[0.03733069,0.00026300387,0.9596191,0.00019343426,0.001044896,0.00021559093,0.0000026817263,0.000059954677,0.0012706221],"genre_scores_gemma":[0.95150304,0.00005304322,0.047721155,0.00004540057,0.0000610714,0.000010964279,0.0000017309135,0.000024861876,0.00057871983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991892,0.000021723894,0.00042130728,0.000121208745,0.0000936296,0.00015293056],"domain_scores_gemma":[0.9993425,0.000059770857,0.00017434459,0.000117797565,0.0002552343,0.000050345127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021723055,0.00012720915,0.00019015282,0.00020109284,0.000042428208,0.000059829956,0.00015151041,0.00009188799,0.000011937199],"category_scores_gemma":[0.00012439766,0.00012740631,0.00006317076,0.00010201871,0.000022101667,0.0003755357,0.000026517877,0.00022203673,0.0000015210348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017776707,0.00010199146,0.00023645622,0.0007289136,0.00035828532,0.0000053062117,0.0043356386,0.53038377,0.43014902,0.0015728936,0.026625196,0.0053247293],"study_design_scores_gemma":[0.0014865777,0.00015520748,0.000073876115,0.0005667001,0.000063759006,0.000087787674,0.00032433326,0.7295308,0.26457903,0.0014739949,0.0014573337,0.0002005973],"about_ca_topic_score_codex":0.000010378654,"about_ca_topic_score_gemma":0.0000045641486,"teacher_disagreement_score":0.91417235,"about_ca_system_score_codex":0.00015533608,"about_ca_system_score_gemma":0.000020744887,"threshold_uncertainty_score":0.5195478},"labels":[],"label_agreement":null},{"id":"W4413553575","doi":"10.1109/jiot.2025.3602389","title":"Joint Optimization of IRS and THz Resource Allocation in 6G IoT Networks: An Adaptive Online MADDPG Approach","year":2025,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; Joint (building); Resource allocation; Internet of Things; Resource management (computing); Computer network; Telecommunications; Computer security; Engineering","score_opus":0.013746528707817915,"score_gpt":0.2298764514838917,"score_spread":0.21612992277607376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413553575","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":[0.058002055,0.0005082412,0.94040155,0.000028613626,0.00021456697,0.00016061796,0.0000017294517,0.000036566194,0.00064606534],"genre_scores_gemma":[0.88092726,0.00011760004,0.118725546,0.000030733845,0.00006397968,0.0000037775076,0.0000129923055,0.00002421929,0.0000939127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988484,0.00007335877,0.0006633951,0.00014372781,0.00012614191,0.00014497351],"domain_scores_gemma":[0.9993656,0.000039492836,0.0002759385,0.00013083813,0.00013992593,0.000048186088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040110204,0.00014118399,0.00028467743,0.00034176078,0.000019118615,0.00002839777,0.000157669,0.000115923765,0.0000048377424],"category_scores_gemma":[0.000052989057,0.00014339609,0.00004023472,0.00023695058,0.00004297996,0.0003677266,0.000025077545,0.00033171367,9.727862e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006205509,0.000056683104,0.000151904,0.00007505157,0.000044895733,0.0000012350055,0.0014495901,0.9946143,0.0012310949,0.00012941315,0.0001630621,0.0020207327],"study_design_scores_gemma":[0.00047309586,0.000090052235,0.00018370055,0.0006206297,0.000019738778,0.00003142198,0.0007334061,0.9955018,0.002120949,0.00010164936,0.000020956537,0.00010261138],"about_ca_topic_score_codex":0.00004378943,"about_ca_topic_score_gemma":0.000010363278,"teacher_disagreement_score":0.8229252,"about_ca_system_score_codex":0.00014769747,"about_ca_system_score_gemma":0.000020317671,"threshold_uncertainty_score":0.58475226},"labels":[],"label_agreement":null},{"id":"W4413679436","doi":"10.1109/compsac65507.2025.00098","title":"Radio link failure prediction in 5G networks using graph neural networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Link (geometry); Computer science; Artificial neural network; Computer network; Artificial intelligence","score_opus":0.005753779232398109,"score_gpt":0.20621546030946716,"score_spread":0.20046168107706905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413679436","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":[0.0039174627,0.0008420502,0.9913612,0.00003828657,0.0012544026,0.00028529455,0.0000010955442,0.00054714666,0.0017530575],"genre_scores_gemma":[0.99204165,0.00005714789,0.007288191,0.00003714982,0.0002930371,0.000019890202,0.000024828922,0.000033008953,0.00020510748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991435,0.00002876978,0.00032026216,0.0001809558,0.00005398763,0.00027254352],"domain_scores_gemma":[0.99967927,0.00003486692,0.000026964628,0.00019193513,0.000029296803,0.000037650774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009459764,0.00015594746,0.00017720542,0.00020888171,0.000049177692,0.000034634515,0.00008566685,0.00019456969,0.000017292872],"category_scores_gemma":[0.000010526074,0.00016741666,0.00004293229,0.0007896084,0.0000147543915,0.00027787362,0.000016241682,0.0002794658,0.0000010525102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004128616,0.0000034211364,0.0030112197,0.000021066602,0.00001480042,0.0000021732587,0.000020732972,0.9928742,0.00008449619,0.00021681724,0.0006738602,0.0030731051],"study_design_scores_gemma":[0.0003248636,0.000005939074,0.00071291474,0.0000828553,0.000011156598,0.00000447783,0.000033677923,0.99841636,0.000034928544,0.00005474239,0.00019794237,0.000120135985],"about_ca_topic_score_codex":0.000041918607,"about_ca_topic_score_gemma":0.00017160363,"teacher_disagreement_score":0.9881242,"about_ca_system_score_codex":0.0001396312,"about_ca_system_score_gemma":0.000006697758,"threshold_uncertainty_score":0.6827053},"labels":[],"label_agreement":null},{"id":"W4413925784","doi":"10.1109/tmc.2025.3604722","title":"Uplink Resource Allocation for RSMA-Aided Digital Twin-Assisted User-Centric Cell-Free Massive MIMO Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Calgary; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; Resource allocation; MIMO; Computer network; Distributed computing","score_opus":0.008187402815690583,"score_gpt":0.2244636609554674,"score_spread":0.21627625813977683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413925784","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":[0.009138657,0.00031792503,0.984515,0.000028247778,0.0019181632,0.0018896378,0.0000681824,0.0009635237,0.0011606229],"genre_scores_gemma":[0.9902992,0.000011592425,0.0072853304,0.000021813996,0.00011685097,0.0003656433,0.000051177034,0.000091659414,0.0017567276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982431,0.000043732874,0.0006790579,0.0004438913,0.00016330884,0.00042692394],"domain_scores_gemma":[0.9985402,0.0004631353,0.00012216732,0.0005919744,0.00019133324,0.00009116781],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015401519,0.00032741032,0.0003639011,0.00040396533,0.0003320982,0.00019385897,0.00031929274,0.0001958867,0.0000050265326],"category_scores_gemma":[0.000022251916,0.0003806389,0.00017117658,0.0007612426,0.000028523868,0.0002693262,0.0000049056935,0.0002713011,0.000023725079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025032294,0.000089796835,0.000007724148,0.00040831597,0.000076677534,0.0000015147627,0.00013116552,0.9820622,0.0017299067,0.000046096044,0.0012360587,0.014185467],"study_design_scores_gemma":[0.0015206956,0.000076099655,0.000010278908,0.00034986695,0.00008057791,0.0000072044018,0.00048496205,0.98283684,0.010725874,0.000012624742,0.003549864,0.00034512472],"about_ca_topic_score_codex":0.000010897081,"about_ca_topic_score_gemma":0.000004467361,"teacher_disagreement_score":0.9811605,"about_ca_system_score_codex":0.00046302285,"about_ca_system_score_gemma":0.000046746794,"threshold_uncertainty_score":0.9998646},"labels":[],"label_agreement":null},{"id":"W4413967057","doi":"10.1109/twc.2025.3603093","title":"Fair SSB Codebook Design for Multi-Cell mmWave MIMO Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Codebook; MIMO; Computer science; Wireless; Computer network; Telecommunications; Channel (broadcasting); Algorithm","score_opus":0.05315206730090442,"score_gpt":0.29323120731528196,"score_spread":0.24007914001437755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413967057","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":[0.000063841755,0.0010677121,0.99166423,0.00054349366,0.00041581833,0.0018970435,0.0002050991,0.0009939309,0.003148839],"genre_scores_gemma":[0.69091326,0.0018062057,0.30264044,0.000102019156,0.000008952615,0.0023142686,0.000070744325,0.00008199231,0.002062126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838233,0.0002203683,0.00064754405,0.00028755426,0.00010940165,0.0003527853],"domain_scores_gemma":[0.9943035,0.0010853248,0.00010176732,0.0041305195,0.00027959165,0.00009926975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024228456,0.00032975955,0.00035080855,0.00040082505,0.0010235886,0.000071337105,0.0017725293,0.00022182612,0.00001114387],"category_scores_gemma":[0.000012496313,0.0003981563,0.00018931525,0.00063381705,0.00024703584,0.00028476803,0.000016093154,0.00053395174,0.000060453396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030320132,0.00076796627,0.000004908414,0.0001612573,0.00019141496,2.1142527e-7,0.0007124234,0.96611536,0.007929375,0.0032043287,0.0013435301,0.019538932],"study_design_scores_gemma":[0.0012502852,0.000037468122,0.000005385177,0.00016525498,0.00011931008,0.0000019166018,0.00031832248,0.96617854,0.024009872,0.00018814197,0.00736614,0.00035939552],"about_ca_topic_score_codex":0.000030307803,"about_ca_topic_score_gemma":0.00037375637,"teacher_disagreement_score":0.6908494,"about_ca_system_score_codex":0.00033199493,"about_ca_system_score_gemma":0.0001116638,"threshold_uncertainty_score":0.99984705},"labels":[],"label_agreement":null},{"id":"W4413967741","doi":"10.1109/icmlcn64995.2025.11140312","title":"Graph Attention Network for Optimal User Association in Wireless Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Computer science; Wireless network; Computer network; Association (psychology); Wireless; Graph; Theoretical computer science; Telecommunications","score_opus":0.0041587739370860625,"score_gpt":0.21449838895155549,"score_spread":0.21033961501446943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413967741","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":[0.011863967,0.000122020545,0.9846172,0.000038249476,0.00086026016,0.00043460695,0.000001819415,0.0002569715,0.0018049112],"genre_scores_gemma":[0.96597093,0.00008141052,0.029856997,0.000053612213,0.00019168628,0.00021465255,0.00008228506,0.000032714655,0.0035156936],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993122,0.000017317927,0.00024703695,0.00012599974,0.000048294674,0.00024915452],"domain_scores_gemma":[0.9997043,0.00009083678,0.000038904607,0.00009605195,0.00005310214,0.000016798105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021345355,0.000096425385,0.0001430696,0.00008853163,0.0000386473,0.000025162668,0.000056133325,0.0001400452,0.000005985921],"category_scores_gemma":[0.000017956565,0.00010885547,0.00004685629,0.00043403968,0.000003328372,0.00017029833,0.000010480257,0.00008448779,0.0000023494756],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000651567,0.0000059231984,0.01592571,0.000027556016,0.000023516075,1.3628468e-7,0.0000071634004,0.972883,0.0000698729,0.0036118056,0.0064316937,0.0010071372],"study_design_scores_gemma":[0.00049569213,0.0000062065524,0.004457386,0.00006916552,0.000011358733,1.1014258e-7,0.000021201236,0.99374914,0.00005562403,0.00025017254,0.0007722009,0.00011176275],"about_ca_topic_score_codex":0.000009618892,"about_ca_topic_score_gemma":0.00015069044,"teacher_disagreement_score":0.9547602,"about_ca_system_score_codex":0.0002476814,"about_ca_system_score_gemma":0.000005891307,"threshold_uncertainty_score":0.44389975},"labels":[],"label_agreement":null},{"id":"W4413998072","doi":"10.18280/jesa.580719","title":"Empirical Analysis of Path Loss and Distance Estimation in Wireless Networks","year":2025,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Path loss; Estimation; Wireless; Wireless network; Computer science; Statistics; Path (computing); Econometrics; Telecommunications; Mathematics; Computer network; Economics","score_opus":0.010229072792604942,"score_gpt":0.26835390719349306,"score_spread":0.2581248344008881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413998072","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":[0.10784454,0.019110693,0.87134016,0.00018703646,0.00076034135,0.00021397263,0.00002476114,0.00007617622,0.00044230567],"genre_scores_gemma":[0.9631865,0.002444926,0.03346339,0.000018813953,0.000060894818,0.00000898277,0.000013791607,0.000044528293,0.0007581439],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99725956,0.00039982374,0.0014018014,0.00027811216,0.0002371843,0.00042354068],"domain_scores_gemma":[0.99855286,0.0003315064,0.000505184,0.00027541936,0.00020454485,0.00013045935],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006604126,0.00031741118,0.0009340164,0.00085466553,0.00012940675,0.00015392299,0.00019489058,0.00022361294,0.000031463733],"category_scores_gemma":[0.00020335572,0.00033778878,0.00016931501,0.003024461,0.00018946725,0.0006000908,0.000067451474,0.00046430415,0.000003658195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015362557,0.000050774368,0.060501255,0.0007674069,0.0006137998,0.000076747,0.00059888064,0.7809381,0.00002871534,0.002516181,0.00013386765,0.15375891],"study_design_scores_gemma":[0.0003583644,0.000026419977,0.3182349,0.0019321983,0.0005209138,0.000056543464,0.0000693803,0.677503,0.000012746086,0.0010656128,0.00005431352,0.00016560075],"about_ca_topic_score_codex":0.000068461224,"about_ca_topic_score_gemma":0.00018720687,"teacher_disagreement_score":0.855342,"about_ca_system_score_codex":0.00071314233,"about_ca_system_score_gemma":0.0000840387,"threshold_uncertainty_score":0.99990743},"labels":[],"label_agreement":null},{"id":"W4414270414","doi":"10.1109/twc.2025.3607721","title":"RSS Localization in Cell-Free Massive MIMO: Algorithms, Analysis, and Implementation","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institute for Information and Communications Technology Promotion; Engineering and Physical Sciences Research Council; Iran Telecommunication Research Center; Ministry of Science and ICT, South Korea; European Commission; Queen's University; National Research Foundation; Queen's University Belfast; National Research Foundation of Korea; Department for the Economy","keywords":"RSS; Signal strength; Path (computing); Position (finance); Reflection (computer programming); Location awareness","score_opus":0.0104315710101825,"score_gpt":0.2744589620253044,"score_spread":0.2640273910151219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414270414","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":[0.0033684056,0.00037032206,0.9944114,0.00029827742,0.00014733456,0.00046215428,0.00008981254,0.000222091,0.0006301957],"genre_scores_gemma":[0.9862495,0.0019929246,0.011153148,0.000052284962,0.000005034638,0.00031707532,0.000110214256,0.000026209123,0.00009359658],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989518,0.00010903829,0.00044696245,0.00021055102,0.0000993376,0.00018229857],"domain_scores_gemma":[0.9984827,0.00016175928,0.000062989544,0.0011581702,0.0000881019,0.000046259906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118374584,0.00017439153,0.00023265481,0.00086331,0.00024918767,0.000046731824,0.000387818,0.00010488887,0.000019582381],"category_scores_gemma":[0.0000028549816,0.00021488668,0.00006296467,0.0019774332,0.00006756593,0.00026637304,0.000007704203,0.00024295136,0.000004198303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005291724,0.000101387726,0.0005548309,0.000056364966,0.00016239565,3.5528876e-7,0.00050875114,0.98059916,0.000915931,0.00054254394,0.000107542226,0.01644543],"study_design_scores_gemma":[0.0008812679,0.000014557277,0.00059874455,0.000056278957,0.00023900912,5.127048e-7,0.0008921932,0.9845719,0.011983068,0.00021817426,0.0003264898,0.0002178492],"about_ca_topic_score_codex":0.00024955906,"about_ca_topic_score_gemma":0.0049480996,"teacher_disagreement_score":0.98325825,"about_ca_system_score_codex":0.00023019171,"about_ca_system_score_gemma":0.000031818632,"threshold_uncertainty_score":0.87628245},"labels":[],"label_agreement":null},{"id":"W4414404565","doi":"10.1109/mnet.2025.3604248","title":"Short-Packet Communications: Recent Advances and Research Challenges","year":2025,"lang":"en","type":"article","venue":"IEEE Network","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Enabling; Key (lock); Wireless; Context (archaeology); Wireless network; Open research; Technology forecasting","score_opus":0.07373872715942213,"score_gpt":0.354100870197177,"score_spread":0.28036214303775486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414404565","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00076013064,0.86662096,0.03248234,0.0012985287,0.0035121338,0.000674981,0.00000438368,0.0005614232,0.09408512],"genre_scores_gemma":[0.2877026,0.7040273,0.0069919815,0.000032797627,0.00073734415,0.00017351708,0.000010899798,0.000033972934,0.00028958882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992473,0.00009882395,0.00017323805,0.0001449433,0.00009011125,0.00024557745],"domain_scores_gemma":[0.99903715,0.00026311688,0.000011179495,0.0005483188,0.000102463986,0.00003776626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040280912,0.00008861116,0.00012805192,0.000076111624,0.00015118883,0.000024036643,0.0002145286,0.00007042225,0.0000017379277],"category_scores_gemma":[0.000034771027,0.000094384304,0.0000116353785,0.00039202053,0.000078468394,0.0001430284,0.00006375487,0.0002237807,0.000008213523],"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":[0.000014598053,0.000018305858,0.00019814692,0.0002637967,0.000045948986,0.0000012346966,0.00040757534,0.62936234,0.00007032313,0.0032846408,0.028988937,0.33734414],"study_design_scores_gemma":[0.00014910128,0.000017631051,0.00025081984,0.0003656325,0.000008217334,0.0000020206373,0.00037945248,0.028410248,0.00018733807,0.009703573,0.9603623,0.00016363862],"about_ca_topic_score_codex":8.451028e-7,"about_ca_topic_score_gemma":0.000086536274,"teacher_disagreement_score":0.9313734,"about_ca_system_score_codex":0.00006788204,"about_ca_system_score_gemma":0.000009765172,"threshold_uncertainty_score":0.38488802},"labels":[],"label_agreement":null},{"id":"W4414405069","doi":"10.1109/iccworkshops67674.2025.11162319","title":"Uni-Polarized RIS Beamforming for Improving Connectivity of Multi-Ris-Assisted D2D Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Beamforming; Azimuth; Optimization problem; Scheme (mathematics); Link (geometry); Selection (genetic algorithm); Genetic algorithm","score_opus":0.010747375217235584,"score_gpt":0.24281802208821152,"score_spread":0.23207064687097592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414405069","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":[0.0035447697,0.0001749698,0.99368984,0.000009554492,0.00053858577,0.0006658032,0.000010436133,0.00039348373,0.0009725693],"genre_scores_gemma":[0.8141318,0.0000073987994,0.18517125,0.000012402469,0.000030188681,0.00006322117,0.000018405335,0.000031331732,0.00053400855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991325,0.000020544081,0.00037292935,0.0001773371,0.00004966462,0.0002469868],"domain_scores_gemma":[0.9992822,0.00023731445,0.00008500645,0.00024537908,0.00011397382,0.000036158635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002143876,0.00015875134,0.00030527517,0.00012709867,0.00008148222,0.000017640872,0.00010749296,0.00014596761,0.0000071574345],"category_scores_gemma":[0.00012690578,0.00016379305,0.00008066648,0.00030393168,0.000018922428,0.0002207222,0.000039390932,0.00011781754,6.9103936e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030016454,0.000033321423,0.00064065005,0.0004702013,0.00008827954,3.0260392e-7,0.000085863365,0.92062837,0.05300207,0.000773647,0.000060497117,0.024186756],"study_design_scores_gemma":[0.0013060876,0.000016300482,0.000213074,0.00007088462,0.00003604042,7.7489017e-7,0.00013396241,0.98628736,0.011585841,0.00003328518,0.00016296245,0.00015342086],"about_ca_topic_score_codex":0.00013255872,"about_ca_topic_score_gemma":0.00018812018,"teacher_disagreement_score":0.81058705,"about_ca_system_score_codex":0.00012940177,"about_ca_system_score_gemma":0.000023075456,"threshold_uncertainty_score":0.6679287},"labels":[],"label_agreement":null},{"id":"W4414405974","doi":"10.1109/iccworkshops67674.2025.11162128","title":"CoDiPhy: A General Framework for Applying Denoising Diffusion Models to the Physical Layer of Wireless Communication Systems","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Noise reduction; Noise (video); Wireless; Range (aeronautics); Key (lock); Physical layer; Gaussian; Gaussian noise; Communications system","score_opus":0.023388897054054968,"score_gpt":0.27800868785610816,"score_spread":0.2546197908020532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414405974","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":[0.07395637,0.0002654838,0.9236313,0.000069983034,0.00017004917,0.0011135743,0.0000068044833,0.00014273652,0.0006436614],"genre_scores_gemma":[0.9387888,0.000020089235,0.06048598,0.00003397392,0.00006883811,0.00046768322,0.00001070511,0.000025689122,0.00009825109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937415,0.00003311976,0.00024636375,0.00011674424,0.000087520435,0.00014212048],"domain_scores_gemma":[0.99918234,0.00022047326,0.000044554832,0.00043482843,0.00009339262,0.000024434294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012305303,0.000110406145,0.00020274849,0.00006562158,0.00011322875,0.000034511842,0.00021665085,0.0000684747,5.21094e-7],"category_scores_gemma":[0.000017657905,0.00008658533,0.000046895737,0.0002605355,0.000013247932,0.00011348002,0.00006286457,0.00009630987,0.000001487116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062635436,0.000011032051,0.000008788944,0.00009680618,0.000017293261,1.9105954e-8,0.0004846525,0.79585356,0.009705578,0.19207627,0.00007947719,0.0016602378],"study_design_scores_gemma":[0.00011018567,0.000007369865,0.00000656686,0.0002911359,0.000016716704,2.9489468e-7,0.00044111098,0.98822963,0.004483489,0.0061790715,0.00014632905,0.00008809724],"about_ca_topic_score_codex":0.00008180307,"about_ca_topic_score_gemma":0.000016408336,"teacher_disagreement_score":0.8648324,"about_ca_system_score_codex":0.00007659187,"about_ca_system_score_gemma":0.000009144302,"threshold_uncertainty_score":0.35308474},"labels":[],"label_agreement":null},{"id":"W4414499229","doi":"10.1109/tgcn.2025.3614481","title":"AI-Enabled Framework for Energy Sustainability Evaluation and Enhancement of Wireless Networks","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Markov decision process; Energy consumption; Sustainability; Wireless; Efficient energy use; Leverage (statistics); Wireless network","score_opus":0.016306827733418548,"score_gpt":0.28947955621927673,"score_spread":0.27317272848585816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414499229","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":[0.00092050113,0.0038790586,0.99381864,0.00031928185,0.000249661,0.0005921771,0.0000054117786,0.0000698573,0.00014542138],"genre_scores_gemma":[0.9838124,0.0043854695,0.011095191,0.00007016803,0.000029760105,0.00052384596,0.00001213898,0.000019514568,0.000051528183],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913,0.00009591519,0.00035996968,0.00017059442,0.00007395064,0.00016958099],"domain_scores_gemma":[0.9985144,0.0004993024,0.00007131568,0.0006209669,0.00025923896,0.00003474963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037265167,0.00013717214,0.00021272845,0.00012757063,0.00032582128,0.000026104339,0.00015289274,0.00012482933,0.0000031873237],"category_scores_gemma":[0.0000020208909,0.00015506163,0.000042289674,0.0003605086,0.00008980555,0.000116124866,0.0000063838684,0.00017833125,4.3301355e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029370332,0.0000526819,0.000039055118,0.0001296706,0.00009076275,2.6632632e-8,0.00015693606,0.2902182,0.00008544226,0.0027042017,0.000023440038,0.7064702],"study_design_scores_gemma":[0.00035171784,0.000039780552,0.000008730674,0.00025761727,0.00009594176,4.7514294e-7,0.00011027036,0.98877287,0.000651709,0.008410183,0.0011821493,0.00011856528],"about_ca_topic_score_codex":0.00008648161,"about_ca_topic_score_gemma":0.00024497762,"teacher_disagreement_score":0.98289186,"about_ca_system_score_codex":0.00014386926,"about_ca_system_score_gemma":0.000035160465,"threshold_uncertainty_score":0.63232297},"labels":[],"label_agreement":null},{"id":"W4414538277","doi":"10.1109/tits.2025.3611533","title":"Design and Optimization of Adaptive Cooperative MAC Protocol With Priority Scheduling for Train-to-Train Communications","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Intelligent Transportation Systems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"National Natural Science Foundation of China","keywords":"Network packet; Scheduling (production processes); Wireless ad hoc network; Throughput; Reliability (semiconductor); Transmission (telecommunications); Channel (broadcasting); Vehicular ad hoc network; Cluster analysis; Mobile ad hoc network","score_opus":0.03359810585166451,"score_gpt":0.2927035313643316,"score_spread":0.2591054255126671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414538277","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":[0.00014042077,0.00004102525,0.94995266,0.000037328617,0.00018395174,0.0492069,0.00016255555,0.00021200368,0.000063136074],"genre_scores_gemma":[0.6493384,0.0000306948,0.28838435,0.000013431934,0.000009741495,0.062068034,0.000032698426,0.000050209088,0.00007242377],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846965,0.00010712354,0.00077173114,0.00029923255,0.0001568583,0.00019543029],"domain_scores_gemma":[0.9986233,0.00030936493,0.00012520554,0.00035881015,0.0004998274,0.00008349875],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029092244,0.0002686673,0.00037053635,0.00037835762,0.00019965948,0.00004043606,0.00016823204,0.00013123447,0.0000059208555],"category_scores_gemma":[0.0000058337887,0.0002675039,0.00005800662,0.00066135766,0.000081901155,0.00024249287,3.6116197e-7,0.0001696324,0.000001395489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003418799,0.00009051387,0.0000040370237,0.00044778033,0.0001584838,2.8477731e-7,0.0020083277,0.99187726,0.0015232727,0.0015201103,0.00000587024,0.0020222033],"study_design_scores_gemma":[0.00079047953,0.0003497927,0.0000068070467,0.0007134877,0.000095847005,0.0000015285699,0.0017629194,0.9538318,0.04204098,0.000024353132,0.00013128572,0.00025075453],"about_ca_topic_score_codex":0.000027505253,"about_ca_topic_score_gemma":0.000090180176,"teacher_disagreement_score":0.66156834,"about_ca_system_score_codex":0.0001453837,"about_ca_system_score_gemma":0.000089878406,"threshold_uncertainty_score":0.9999777},"labels":[],"label_agreement":null},{"id":"W4414538440","doi":"10.1109/icc52391.2025.11161968","title":"Online Resource Management for the Uplink of Wideband Hybrid Beamforming System","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Base station; Heuristic; Wideband; Beamforming; Resource allocation; User equipment; Resource management (computing); Power (physics)","score_opus":0.006659903693302973,"score_gpt":0.22119253766111557,"score_spread":0.2145326339678126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414538440","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":[0.00031149472,0.00041328633,0.98228323,0.000048832284,0.00019831781,0.00060631474,0.000006741956,0.00019895297,0.01593281],"genre_scores_gemma":[0.90714633,0.000050566934,0.08495088,0.00004727075,0.000067126486,0.0001379829,0.000035106368,0.000037379825,0.0075273416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995076,0.0000039331576,0.00024621148,0.00008601963,0.0000459286,0.00011031927],"domain_scores_gemma":[0.999597,0.00010365122,0.00003066262,0.00022708153,0.00003011457,0.000011501653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010988099,0.000078193836,0.0001197111,0.0000645161,0.00004836982,0.000008326096,0.00011793447,0.000018936124,0.0000020570037],"category_scores_gemma":[0.000008608797,0.00005724093,0.00003831927,0.00012035197,0.0000094030565,0.00004427653,0.000028143895,0.000033399447,9.4261804e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006642229,0.0000066595753,0.000010720562,0.0010256527,0.00008376025,3.751801e-7,0.000025809035,0.9776869,0.00015306611,0.01113031,0.0017592548,0.008110877],"study_design_scores_gemma":[0.0003906041,0.00000785974,0.000012407071,0.00029222254,0.00005348074,0.0000017820817,0.001049872,0.969829,0.005491863,0.000057049532,0.022736214,0.0000776386],"about_ca_topic_score_codex":0.0000044953626,"about_ca_topic_score_gemma":0.00000436465,"teacher_disagreement_score":0.90683484,"about_ca_system_score_codex":0.000063141844,"about_ca_system_score_gemma":0.0000030240867,"threshold_uncertainty_score":0.23342173},"labels":[],"label_agreement":null},{"id":"W4414538472","doi":"10.1109/icc52391.2025.11162125","title":"Distributed Precoding for eMBB and URLLC Traffic in Cell-Free O-RAN: A Multi-Agent Reinforcement Learning Framework","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reinforcement learning; Precoding; Network packet; Mobile broadband; Throughput; Latency (audio); Radio access technology; Constraint (computer-aided design)","score_opus":0.010417786600111683,"score_gpt":0.24116197091760247,"score_spread":0.23074418431749077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414538472","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":[0.014001461,0.00036731048,0.98381346,0.000038535676,0.000204705,0.0006933386,0.0000051522716,0.0002909129,0.0005851232],"genre_scores_gemma":[0.9256089,0.0000827188,0.07317592,0.000014690406,0.000017155506,0.00015988744,0.00004098314,0.0000230988,0.0008766836],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922013,0.000013441967,0.00030336218,0.00018076357,0.00004422545,0.0002380823],"domain_scores_gemma":[0.99957836,0.00015528504,0.000031811236,0.00016963351,0.000026171305,0.000038770653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012408044,0.00014223186,0.0001792771,0.00011407082,0.00006404682,0.000034519104,0.000091981936,0.0001065112,0.000012122357],"category_scores_gemma":[0.00019550692,0.00015143283,0.000031014555,0.00022533676,0.000008963361,0.00011057303,0.00004266497,0.0001625116,0.0000018003582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009415842,0.000010839641,0.0002611232,0.00027036548,0.000013516716,5.5807703e-7,0.00036389334,0.9962187,0.00031453004,0.00040585833,0.00019645198,0.0019347904],"study_design_scores_gemma":[0.0011737113,0.000021307447,0.0001050299,0.00020706013,0.0000108972135,3.7712255e-7,0.00042066557,0.99544317,0.0012565941,0.000057425856,0.001150127,0.00015361674],"about_ca_topic_score_codex":0.000006138923,"about_ca_topic_score_gemma":0.00003782595,"teacher_disagreement_score":0.9116074,"about_ca_system_score_codex":0.0001486351,"about_ca_system_score_gemma":0.000009311466,"threshold_uncertainty_score":0.61752516},"labels":[],"label_agreement":null},{"id":"W4414539207","doi":"10.1109/icc52391.2025.11161774","title":"Energy and QoS-Aware Functional Split Selection in 5G and Beyond O-RAN Networks","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Energy consumption; Cellular network; Flexibility (engineering); Software deployment; Interoperability; Radio access network; Computation; Quality of service; Selection (genetic algorithm)","score_opus":0.003397594897823535,"score_gpt":0.18211457649174337,"score_spread":0.17871698159391983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414539207","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":[0.006253011,0.00057214603,0.98449355,0.000028039076,0.00019095086,0.000057570018,5.355381e-7,0.00013268106,0.008271508],"genre_scores_gemma":[0.9954168,0.00013995162,0.0025038247,0.00006768431,0.0000749897,0.000020485806,0.000012893188,0.000012352231,0.0017509692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962866,0.000008816886,0.00011675935,0.000118773765,0.000028817414,0.00009818508],"domain_scores_gemma":[0.9998805,0.00003126323,0.000008752097,0.000038940867,0.000018439698,0.000022131022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003790801,0.00007615284,0.0000830924,0.00010302106,0.000031015992,0.000018402323,0.0000136549115,0.00007037609,0.000021192167],"category_scores_gemma":[0.0000046555797,0.000081268685,0.0000069456496,0.00021841508,0.000009625786,0.00012130074,0.000009158627,0.000052554882,4.6634176e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007814001,0.000004194986,0.0030054795,0.000030784926,0.000012386407,3.0986934e-7,0.000017907063,0.97945076,0.00040074886,0.006886501,0.0019045677,0.008278546],"study_design_scores_gemma":[0.00034471755,0.000005128746,0.0065405867,0.000023868482,0.0000052409227,0.0000053820977,0.000033175587,0.98904616,0.00011945729,0.00044250605,0.0033332694,0.000100486744],"about_ca_topic_score_codex":0.000040658517,"about_ca_topic_score_gemma":0.0007169,"teacher_disagreement_score":0.9891638,"about_ca_system_score_codex":0.00004695352,"about_ca_system_score_gemma":0.000004998714,"threshold_uncertainty_score":0.3314041},"labels":[],"label_agreement":null},{"id":"W4414648059","doi":"10.1109/vtc2025-spring65109.2025.11174682","title":"Null Space Projection-Based Hybrid Beamforming for Multi-User Massive MIMO","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Beamforming; Precoding; Baseband; MIMO; Control theory (sociology); Null (SQL); Optimization problem; Channel (broadcasting); Interference (communication)","score_opus":0.011869149563709366,"score_gpt":0.2560964157924396,"score_spread":0.2442272662287302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414648059","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":[0.00060653605,0.000057850863,0.9937458,0.00008708636,0.00058515026,0.0009263425,0.000013179598,0.0006212313,0.0033568083],"genre_scores_gemma":[0.11436527,0.0000067250467,0.8630792,0.000104790764,0.00008552358,0.00054892036,0.000047499005,0.00006818149,0.02169389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993793,0.0000063693187,0.0001908478,0.00017034795,0.000048003116,0.00020514299],"domain_scores_gemma":[0.9996095,0.000070167116,0.000029694047,0.00016708668,0.00009371325,0.000029891662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005770698,0.0001387239,0.00014002,0.000149175,0.000075334174,0.000024518991,0.00007030078,0.00005105461,0.000016970987],"category_scores_gemma":[0.00006941615,0.00013918856,0.00005566151,0.00018680256,0.000010337626,0.00015766396,0.000009905498,0.00006492308,0.000011844166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010603387,0.000017183083,0.00014318492,0.00024145306,0.000030226644,6.675569e-7,0.000038498863,0.990397,0.0029599061,0.0015453163,0.003032686,0.0015833043],"study_design_scores_gemma":[0.0007399064,0.000012434755,0.000009304586,0.000065912434,0.000013763057,6.707247e-7,0.000121777295,0.90497816,0.07673416,0.000029134306,0.017148718,0.00014606629],"about_ca_topic_score_codex":0.00002375121,"about_ca_topic_score_gemma":0.000049057617,"teacher_disagreement_score":0.13066661,"about_ca_system_score_codex":0.00016007545,"about_ca_system_score_gemma":0.000036603862,"threshold_uncertainty_score":0.56759447},"labels":[],"label_agreement":null},{"id":"W4414956213","doi":"10.1109/twc.2025.3615916","title":"Resource Allocation in Cooperative Mid-Band/THz Networks in the Presence of Mobility","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Resource allocation; Resource management (computing); Beamforming; Convex optimization; Base station; Telecommunications link; Optimization problem; Quality of service; Handover","score_opus":0.01610488321707458,"score_gpt":0.2628105825268469,"score_spread":0.24670569930977232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414956213","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":[0.024263728,0.00042321722,0.97205395,0.00045276986,0.000102774466,0.00075031555,0.000014931025,0.00008157125,0.0018567415],"genre_scores_gemma":[0.9979679,0.00064074836,0.000746933,0.000036312256,0.000003812766,0.00051365304,0.000015058195,0.000013650957,0.00006194974],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880344,0.00035077924,0.00046261903,0.00014750203,0.000090235415,0.00014544488],"domain_scores_gemma":[0.99786085,0.0006707272,0.00004994417,0.0013199656,0.0000815079,0.000017006534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003657734,0.00012610479,0.00018530485,0.00022315556,0.00013287844,0.000017621309,0.0006686269,0.00010107503,0.000004215094],"category_scores_gemma":[0.000016411155,0.000120763834,0.000040764608,0.0012859959,0.00014353172,0.00016993676,0.0000033273225,0.00046448904,0.0000016315626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013497335,0.00021589315,0.00009103341,0.000031424035,0.000013370337,1.341612e-7,0.0012048015,0.99296194,0.0009815395,0.00061872875,0.000027094668,0.0038405259],"study_design_scores_gemma":[0.00048590984,0.000021008906,0.0011208355,0.0003192099,0.000013577867,9.5288874e-7,0.0014303704,0.98689514,0.009279786,0.00007800149,0.00021784697,0.0001373435],"about_ca_topic_score_codex":0.00020238131,"about_ca_topic_score_gemma":0.0033488227,"teacher_disagreement_score":0.97370416,"about_ca_system_score_codex":0.00015194065,"about_ca_system_score_gemma":0.000035902704,"threshold_uncertainty_score":0.4924606},"labels":[],"label_agreement":null},{"id":"W4415019792","doi":"10.1017/s0950268825100691","title":"Social determinants and community-level risk factors in CA-MRSA transmission among disadvantaged populations in North America: A scoping review","year":2025,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Public Health Ontario; Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Disadvantaged; Public health; Transmission (telecommunications); Psychological intervention; Social determinants of health; Epidemiology; Hygiene; Scopus","score_opus":0.06784242368576929,"score_gpt":0.3683031109302085,"score_spread":0.3004606872444392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415019792","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":[0.85314864,0.0023348054,0.1439259,0.000022927814,0.00009005469,0.00037421245,0.0000052692412,0.000046335594,0.000051823725],"genre_scores_gemma":[0.98280776,0.016501049,0.00053945044,0.00003526621,0.000009196107,0.000045855086,0.000046886624,0.000008113977,0.000006416211],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982309,0.0010024854,0.00046790027,0.00012628859,0.000015890859,0.00015656778],"domain_scores_gemma":[0.9992614,0.00052864244,0.000095515396,0.00007742751,0.000010872085,0.000026182619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065743097,0.00012058985,0.00041101195,0.00016744348,0.00025575247,0.0000029695393,0.000024807268,0.000118248376,0.0000029488967],"category_scores_gemma":[0.0007459702,0.00011802914,0.000025015177,0.00031359543,0.00006548953,0.00022208151,0.000016411563,0.00047600674,3.4333792e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030368983,0.00001144351,0.9603837,0.0009080848,0.000004125141,2.7161502e-7,0.00040058876,0.02811096,0.000010934811,0.0000071097816,0.000013576387,0.010146138],"study_design_scores_gemma":[0.000217495,0.000016438802,0.9654528,0.003175427,0.000017518425,8.082285e-7,0.00004947707,0.030703316,0.000007557442,0.00024077581,0.000020660149,0.00009771278],"about_ca_topic_score_codex":0.0025524893,"about_ca_topic_score_gemma":0.018613443,"teacher_disagreement_score":0.14338645,"about_ca_system_score_codex":0.000069523325,"about_ca_system_score_gemma":0.0000073511865,"threshold_uncertainty_score":0.9992943},"labels":[],"label_agreement":null},{"id":"W4415047836","doi":"10.1109/mwc.2025.3599659","title":"CmWave and Sub-THz: Key Radio Enablers and Complementary Spectrum for 6G","year":2025,"lang":"en","type":"article","venue":"IEEE Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China; National Science and Technology Council","keywords":"Key (lock); Standardization; Radio spectrum; Cognitive radio; Spectrum management; Spectrum (functional analysis); Electromagnetic spectrum","score_opus":0.01834460295547866,"score_gpt":0.2566865161422987,"score_spread":0.23834191318682005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415047836","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":[0.074155755,0.009094863,0.907054,0.0023579015,0.0005073843,0.001771338,0.00016528624,0.00056196074,0.0043314868],"genre_scores_gemma":[0.9759944,0.0032288185,0.020274976,0.000060453935,0.000022494236,0.00018305615,0.0000943731,0.000028171133,0.000113273854],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939233,0.00003340251,0.000232355,0.00013438083,0.000037880964,0.00016967907],"domain_scores_gemma":[0.9989452,0.00022942464,0.00003649553,0.0007090831,0.000034827775,0.000044994147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009842352,0.00012354935,0.00017306964,0.000109864646,0.00025681057,0.000039384595,0.00024793454,0.000048508133,0.0000022423192],"category_scores_gemma":[0.00000910374,0.0001465026,0.000023009781,0.00016378569,0.000107691405,0.00014781415,0.00008131355,0.00011321909,0.000001382575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013290037,0.00043016582,0.011589701,0.0030864577,0.0017248663,0.0000041438275,0.01064471,0.35716936,0.11817335,0.39750016,0.03078528,0.06875889],"study_design_scores_gemma":[0.001929892,0.000036322283,0.0014213868,0.0002613694,0.000102824,0.000011382078,0.0010688703,0.95566183,0.012015218,0.0043189926,0.022696974,0.00047495338],"about_ca_topic_score_codex":0.00004269854,"about_ca_topic_score_gemma":0.0003988697,"teacher_disagreement_score":0.9018386,"about_ca_system_score_codex":0.00008358254,"about_ca_system_score_gemma":0.000015861904,"threshold_uncertainty_score":0.5974203},"labels":[],"label_agreement":null},{"id":"W4415125628","doi":"10.1109/itc-egypt66095.2025.11186627","title":"Pushing the Limits of MIMO Beamforming: Innovations, Challenges, and the Path to 6G","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; MIMO; Wireless; 3G MIMO; Key (lock); Path loss; Multi-user MIMO; Terahertz radiation","score_opus":0.01794755295311259,"score_gpt":0.2407366748395344,"score_spread":0.2227891218864218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415125628","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":[0.008233632,0.009060602,0.9062065,0.0060806465,0.00037055727,0.00090733543,0.0000031206928,0.00022062878,0.06891698],"genre_scores_gemma":[0.9897476,0.0009822148,0.008497438,0.00018676063,0.000027965574,0.000055755398,0.0000019267227,0.000012705344,0.00048762],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995685,0.000015528476,0.00019894495,0.000075202195,0.000054101485,0.000087700195],"domain_scores_gemma":[0.99955124,0.0001526095,0.000024789724,0.00020230454,0.00005787739,0.000011202569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002600883,0.000069620684,0.00010503382,0.000064813765,0.0000561068,0.00001371504,0.00010558625,0.000030985124,0.0000020236569],"category_scores_gemma":[0.00012003929,0.00003985421,0.000013302729,0.00026805722,0.000023647443,0.000092090144,0.000034479042,0.00006823947,0.0000014495283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017385015,0.000011631141,0.0000703271,0.0002932102,0.00008452452,2.6542986e-7,0.004977755,0.19661054,0.0017161109,0.7256148,0.0015035055,0.06909994],"study_design_scores_gemma":[0.006850709,0.00014122592,0.0055651832,0.0020322904,0.00020369884,0.000027384474,0.02939446,0.67719346,0.034040265,0.030046428,0.2131228,0.0013820733],"about_ca_topic_score_codex":0.000010937414,"about_ca_topic_score_gemma":0.000044184217,"teacher_disagreement_score":0.981514,"about_ca_system_score_codex":0.000017875513,"about_ca_system_score_gemma":0.000007667821,"threshold_uncertainty_score":0.16252075},"labels":[],"label_agreement":null},{"id":"W4415159121","doi":"10.1109/tcomm.2025.3621247","title":"Power Minimization Under Quality of Service Constraints for MIMO Systems With a RIS-Based Transmitter","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Computational complexity theory; MIMO; Transmitter power output; Minification; Quality of service; Transmitter; Power (physics)","score_opus":0.029691741313085124,"score_gpt":0.29307509423841427,"score_spread":0.26338335292532916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415159121","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":[0.00069819426,0.00015723775,0.99406284,0.0008376534,0.00023131292,0.0010560139,0.000281976,0.00025836006,0.002416401],"genre_scores_gemma":[0.9686849,0.000033637076,0.030307882,0.00017060633,0.0000038458056,0.0005865765,0.00005157678,0.000038610866,0.00012237014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889493,0.00012128423,0.0005423265,0.00016957289,0.000110719724,0.00016117885],"domain_scores_gemma":[0.9977723,0.0005744812,0.00010051449,0.0011325183,0.00037784822,0.000042333384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016011376,0.00018122428,0.00027771486,0.00023691065,0.00019156373,0.000024845065,0.00034801709,0.0001232532,0.000020029249],"category_scores_gemma":[0.0000043215587,0.00018717225,0.00008242218,0.0006314812,0.00013184824,0.00014745673,9.91854e-7,0.00017115816,0.0000038603075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055216977,0.00015851558,0.000010578559,0.00031197816,0.00013323344,3.2152535e-8,0.0002089202,0.99509245,0.001454534,0.0021068018,0.00005788177,0.00040986759],"study_design_scores_gemma":[0.0034018788,0.000107548076,0.00018647584,0.0007506559,0.00020384985,0.0000024783765,0.0013666749,0.98267627,0.009604847,0.0003081697,0.00091938855,0.00047175118],"about_ca_topic_score_codex":0.000049820803,"about_ca_topic_score_gemma":0.00036060755,"teacher_disagreement_score":0.9679867,"about_ca_system_score_codex":0.00011611813,"about_ca_system_score_gemma":0.00009142219,"threshold_uncertainty_score":0.7632663},"labels":[],"label_agreement":null},{"id":"W4415168781","doi":"10.1049/icp.2025.1492","title":"Improving LV networks hosting capacity via manual phase switching of households – a Monte-Carlo analysis","year":2025,"lang":"en","type":"article","venue":"IET conference proceedings.","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Iron Ore Company (Canada)","funders":"","keywords":"Overvoltage; Voltage; Low voltage; Power (physics); Phase (matter); Voltage reduction; Reduction (mathematics)","score_opus":0.012669276650447142,"score_gpt":0.2424599522248212,"score_spread":0.22979067557437405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415168781","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":[0.346162,0.00012511766,0.6517054,0.000008338,0.00016769407,0.00022421785,0.0000062990935,0.0003614786,0.001239459],"genre_scores_gemma":[0.98858166,0.000029088606,0.011157245,0.000015700554,0.000075624455,0.000048813286,0.0000047784883,0.000036862504,0.00005024982],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99837655,0.000009620285,0.0006323433,0.00038248976,0.00018104693,0.00041792725],"domain_scores_gemma":[0.99902785,0.000043669384,0.00024864863,0.00018432253,0.0004081387,0.0000873493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031328236,0.00030218068,0.00056749006,0.0003491846,0.000116938594,0.0001185135,0.00028904117,0.00019281707,0.000009965992],"category_scores_gemma":[0.00014367072,0.0003296211,0.0001395846,0.0013720033,0.00003351624,0.0005754965,0.000082852064,0.00036066995,0.000001045643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004750934,0.000089097186,0.017838962,0.0009322641,0.0008901482,0.0000031911954,0.0030656748,0.85021603,0.09144819,0.0011530905,0.00010911767,0.0342067],"study_design_scores_gemma":[0.0005338905,0.0000338642,0.00040407255,0.0002070061,0.00033886984,0.0000021721307,0.00055634923,0.99029577,0.007251802,0.00007893316,0.00001753222,0.00027973644],"about_ca_topic_score_codex":0.0001801695,"about_ca_topic_score_gemma":0.000056126566,"teacher_disagreement_score":0.64241964,"about_ca_system_score_codex":0.00013525397,"about_ca_system_score_gemma":0.000030683423,"threshold_uncertainty_score":0.9999156},"labels":[],"label_agreement":null},{"id":"W4415279898","doi":"10.1111/vsu.14317","title":"Response to <scp>LTE VSU</scp> ‐25‐133","year":2025,"lang":"en","type":"article","venue":"Veterinary Surgery","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Drill; 3d printed; Variety (cybernetics); Perspective (graphical); Surgical procedures; Reflection (computer programming)","score_opus":0.018555310917730463,"score_gpt":0.2499688881919142,"score_spread":0.23141357727418374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415279898","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":[0.8259333,0.00062919594,0.16309716,0.0001364137,0.0026366718,0.00031015405,0.000021786223,0.001029036,0.006206294],"genre_scores_gemma":[0.9898593,0.00005773129,0.0041779703,0.00023812563,0.00008901139,0.000111078465,0.00001670934,0.0000687434,0.005381364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99877256,0.00011717717,0.00036236783,0.00026384185,0.00010812948,0.00037590862],"domain_scores_gemma":[0.9982431,0.0011105395,0.000033977114,0.00045406332,0.000048547754,0.000109808185],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004599349,0.0002155176,0.00030355438,0.00050361606,0.00007048894,0.000038493818,0.0001366914,0.00010419701,0.000016095646],"category_scores_gemma":[0.0005645892,0.00025118273,0.000097841126,0.00069785543,0.000017859873,0.00022564686,0.00008016574,0.00011326329,0.00021204363],"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":[0.00035708398,0.000080621925,0.0030975372,0.00066522317,0.00018167372,0.00071778725,0.0008865338,0.39799526,0.3672816,0.00015331036,0.21202262,0.016560763],"study_design_scores_gemma":[0.00030256715,0.00014368947,0.00947842,0.00053804344,0.000018212762,0.00010613842,0.00022505755,0.014851922,0.008037702,0.00009428891,0.965893,0.00031100746],"about_ca_topic_score_codex":0.0000049685978,"about_ca_topic_score_gemma":8.6227766e-7,"teacher_disagreement_score":0.7538703,"about_ca_system_score_codex":0.00014095477,"about_ca_system_score_gemma":0.000041982228,"threshold_uncertainty_score":0.99999404},"labels":[],"label_agreement":null},{"id":"W4415482461","doi":"10.1109/twc.2025.3622125","title":"Deep Learning for Robust ARIS-Aided Multiuser MIMO Networks With Channel Uncertainty","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Science and Technology Council","keywords":"Beamforming; Robustness (evolution); MIMO; Base station; Channel (broadcasting); Channel state information; Maximization; Artificial neural network; Multilayer perceptron","score_opus":0.020953244705482276,"score_gpt":0.2535844467290318,"score_spread":0.23263120202354953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415482461","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":[0.00021266183,0.0018687412,0.9915802,0.0007669436,0.0011377413,0.00272738,0.000060999642,0.00078844366,0.00085692375],"genre_scores_gemma":[0.92491835,0.005265084,0.06476186,0.000094713214,0.00006560053,0.0025469053,0.00015650998,0.00022872444,0.0019622229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966441,0.00039011403,0.0011413839,0.00073436106,0.00022594091,0.00086414116],"domain_scores_gemma":[0.99406755,0.001679776,0.0003377682,0.003004559,0.00069876923,0.00021155793],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00037952766,0.0007768758,0.00081794086,0.0006577306,0.0024755648,0.00020616279,0.0013510106,0.0005880666,0.000032598873],"category_scores_gemma":[0.000029649224,0.00088125723,0.00033322288,0.0018262052,0.00036821756,0.0005377383,0.00001622834,0.0019064299,0.000020107029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021590847,0.0004680619,0.000013830958,0.00026350885,0.0006731574,7.494651e-7,0.001024162,0.9691971,0.00013115663,0.00046245896,0.000055666307,0.027494239],"study_design_scores_gemma":[0.0025265822,0.00017621311,0.000022230604,0.001232602,0.0005312004,0.0000058444034,0.0016353596,0.9912554,0.00058332854,0.000041230516,0.0012066442,0.00078334543],"about_ca_topic_score_codex":0.0002546891,"about_ca_topic_score_gemma":0.003395,"teacher_disagreement_score":0.9268183,"about_ca_system_score_codex":0.0007824913,"about_ca_system_score_gemma":0.00016255882,"threshold_uncertainty_score":0.99936384},"labels":[],"label_agreement":null},{"id":"W4415626547","doi":"10.1109/tccn.2025.3626373","title":"Two-Stage GNN-Based Scalable Access Mode Selection and Power Control for Cell-Free and D2D Heterogeneous Networks","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Heterogeneous network; Scalability; Power control; Network architecture; Selection algorithm; Interference (communication); Access network; Exploit; Enhanced Data Rates for GSM Evolution","score_opus":0.019645899251544825,"score_gpt":0.2888653940990674,"score_spread":0.2692194948475226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415626547","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":[0.0026435326,0.017013434,0.9760133,0.0001914587,0.0006251664,0.0022322796,0.00029618057,0.00018566825,0.00079898315],"genre_scores_gemma":[0.9773069,0.015534446,0.005878763,0.00027497258,0.00007125834,0.0006121714,0.00003895766,0.00010012064,0.00018239068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99771786,0.00030702638,0.00067900826,0.0006282973,0.000111303416,0.0005564787],"domain_scores_gemma":[0.9961553,0.0022650715,0.00022016096,0.00077166414,0.00041203716,0.00017575735],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003596236,0.00052241696,0.00055529433,0.00040482922,0.0018849415,0.0004358528,0.0003877934,0.00032313933,0.0000129240825],"category_scores_gemma":[0.000012802276,0.00064662425,0.000118282915,0.0006972174,0.00027725892,0.00045111144,0.000028284627,0.0007066303,5.7578814e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035006634,0.00019623653,0.00017390517,0.00025217928,0.00029729627,6.5418004e-7,0.00016651762,0.93970054,0.00018236876,0.00008022066,0.000016739341,0.058583282],"study_design_scores_gemma":[0.005870553,0.00021582365,0.000019598965,0.0012527441,0.00059528864,0.000007368155,0.00020839456,0.9894487,0.001153939,0.00016767457,0.00054094876,0.00051896827],"about_ca_topic_score_codex":0.00010315445,"about_ca_topic_score_gemma":0.0008899786,"teacher_disagreement_score":0.9746634,"about_ca_system_score_codex":0.00016226096,"about_ca_system_score_gemma":0.00007458719,"threshold_uncertainty_score":0.9995985},"labels":[],"label_agreement":null},{"id":"W4416286335","doi":"10.1109/mnet.2025.3606209","title":"Near-Field Communications: Challenges and Opportunities in the Networking Landscape","year":2025,"lang":"","type":"article","venue":"IEEE Network","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":"University of Waterloo","funders":"","keywords":"The Internet; Key (lock); Server; Field (mathematics)","score_opus":0.05672409812834363,"score_gpt":0.27177754665739423,"score_spread":0.21505344852905062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416286335","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007662632,0.827589,0.025279531,0.008270616,0.008127489,0.0010360352,0.000003059162,0.0001854408,0.1287426],"genre_scores_gemma":[0.6616989,0.3341896,0.0011585262,0.0007248821,0.0018528319,0.00012703642,0.00000854601,0.000035616165,0.00020408058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824053,0.0003624763,0.0005526861,0.0002589528,0.00011437469,0.00047095798],"domain_scores_gemma":[0.9972596,0.0014537344,0.00011035109,0.0010832659,0.000047995018,0.000045010478],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008563704,0.00027875014,0.00035622038,0.00009014747,0.00035529322,0.00016963462,0.0006051014,0.00024337451,0.0000043602427],"category_scores_gemma":[0.000030882697,0.00026506398,0.00004766597,0.00039137184,0.00011123425,0.00020942661,0.00013991115,0.0005743571,0.000003844287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031122934,0.00003136166,0.00049286557,0.00028660437,0.000090380985,0.000010313897,0.004314481,0.83364594,0.0000012247846,0.011657911,0.013194751,0.13624305],"study_design_scores_gemma":[0.0007603378,0.00007353238,0.00076626934,0.0033210758,0.00010825938,0.00001775057,0.004939004,0.668692,0.0000033166157,0.0074828626,0.31330842,0.0005272019],"about_ca_topic_score_codex":0.000020625484,"about_ca_topic_score_gemma":0.00043991648,"teacher_disagreement_score":0.66093266,"about_ca_system_score_codex":0.00004542906,"about_ca_system_score_gemma":0.00004975654,"threshold_uncertainty_score":0.99998015},"labels":[],"label_agreement":null},{"id":"W4416513336","doi":"10.1109/tcomm.2025.3635782","title":"Distributed Near-Field Channel Estimation for U6G XL-MIMO Systems Under Beam Squint","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Jiangsu Province; Government of Jiangsu Province; European Commission; Queen's University; National Natural Science Foundation of China; Queen's University Belfast","keywords":"Wideband; Channel (broadcasting); Overhead (engineering); Computational complexity theory; Parametric statistics; Upper and lower bounds; Path (computing); Beam (structure)","score_opus":0.021321261858657542,"score_gpt":0.27715116148665236,"score_spread":0.25582989962799485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416513336","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":[0.00014910987,0.00042261908,0.9943186,0.0009693778,0.001063562,0.001082571,0.0002690647,0.00071737595,0.0010077098],"genre_scores_gemma":[0.98215353,0.0002297224,0.015451626,0.00007299196,0.000017652434,0.0013870023,0.00019730697,0.000045482648,0.00044470138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897915,0.000050454353,0.0004517599,0.0001915011,0.00009416212,0.00023298145],"domain_scores_gemma":[0.9977793,0.000563887,0.00006511836,0.0013456477,0.00018432274,0.00006173356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013846178,0.00020273379,0.0002282129,0.00018678054,0.0006194507,0.000106184074,0.00045643916,0.00016869215,0.000007920075],"category_scores_gemma":[0.00002299136,0.00023626373,0.00010677422,0.0005499975,0.00005928337,0.000250349,0.0000042288784,0.000285577,0.000026247537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011546807,0.00008789784,5.492127e-7,0.00009397641,0.00008821568,5.6236594e-8,0.00010401052,0.99404377,0.0003536214,0.0017604708,0.0009835698,0.0024723166],"study_design_scores_gemma":[0.0004660167,0.0000416764,0.000009632691,0.00018762621,0.00008585275,0.0000024677743,0.0002640869,0.99119794,0.0042448076,0.0005773379,0.0027194982,0.00020307479],"about_ca_topic_score_codex":0.0000631232,"about_ca_topic_score_gemma":0.000110587025,"teacher_disagreement_score":0.9820044,"about_ca_system_score_codex":0.00028595547,"about_ca_system_score_gemma":0.000053156113,"threshold_uncertainty_score":0.96345556},"labels":[],"label_agreement":null},{"id":"W4417002524","doi":"10.1109/twc.2025.3636974","title":"Non-Centralized Quantum Neural Networks for Cell-Free MIMO Systems","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Research Foundation of Korea; Canada Excellence Research Chairs, Government of Canada","keywords":"Precoding; MIMO; Telecommunications link; Wireless; Transmission (telecommunications); Wireless network; Multi-user MIMO; Key (lock); Enhanced Data Rates for GSM Evolution","score_opus":0.016409079666750627,"score_gpt":0.25300295921835714,"score_spread":0.23659387955160652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417002524","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":[0.0013627643,0.0010232045,0.9922397,0.000257897,0.0019237393,0.0013691038,0.00014179165,0.00066675927,0.0010150127],"genre_scores_gemma":[0.9913026,0.0010242229,0.0055020447,0.000045099427,0.00003217843,0.0014215257,0.00006552922,0.00007643119,0.00053038093],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986864,0.00007087686,0.0005476703,0.00023209628,0.000097967444,0.0003650289],"domain_scores_gemma":[0.99696416,0.00037728602,0.00007957328,0.0023424032,0.0001511565,0.000085410815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012776813,0.00026794602,0.00033612936,0.0002479138,0.0005254835,0.00008407379,0.0010611113,0.000186942,0.0000053443086],"category_scores_gemma":[0.0000046958558,0.00030915675,0.0001689316,0.0005830112,0.00008126891,0.00022119621,0.0000069370985,0.00039374968,0.000007901786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022496053,0.00014091519,0.0000052433566,0.00014647692,0.00007290047,1.9421968e-7,0.0000991025,0.99382585,0.00088415574,0.0013935348,0.0014224995,0.0019866554],"study_design_scores_gemma":[0.0012825892,0.000027734446,0.000006758898,0.00014794426,0.000084789644,0.000001882096,0.00016751255,0.99470556,0.0015794304,0.0000561046,0.0016864259,0.00025326113],"about_ca_topic_score_codex":0.00007067636,"about_ca_topic_score_gemma":0.00012932983,"teacher_disagreement_score":0.9899398,"about_ca_system_score_codex":0.00020322578,"about_ca_system_score_gemma":0.00003184958,"threshold_uncertainty_score":0.99993604},"labels":[],"label_agreement":null},{"id":"W4417131162","doi":"10.1109/tmc.2025.3640955","title":"Leveraging Generative Artificial Intelligence for Uplink Feedback-Free Transmission in 6G FD-RAN","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Mobile Computing","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Channel state information; Transmission (telecommunications); Autoencoder; Overhead (engineering); Spectral efficiency; Wireless; Reinforcement learning; Artificial noise","score_opus":0.023564673328594424,"score_gpt":0.2812870237724589,"score_spread":0.2577223504438645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417131162","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":[0.006681597,0.0010967545,0.9847133,0.00021639929,0.0035752878,0.003090765,0.000040728275,0.0003796808,0.00020544512],"genre_scores_gemma":[0.86868536,0.00022244695,0.13012353,0.000057858175,0.00022488442,0.00032659652,0.000012291523,0.00012126172,0.00022578707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958011,0.00017294909,0.0018003486,0.0010731509,0.00024056014,0.00091188936],"domain_scores_gemma":[0.99766374,0.0010338111,0.00019759023,0.00070610334,0.00024084108,0.00015790555],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063239614,0.0007224062,0.000805231,0.0009712321,0.0008932473,0.00018649652,0.0005566452,0.0004412925,0.000060373302],"category_scores_gemma":[0.000029396273,0.0009037696,0.00036300984,0.0016234372,0.00009876165,0.00036141867,0.0000074113545,0.0010318093,0.00001785106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006408722,0.0001817781,0.0000022176564,0.00038997427,0.00007760295,0.0000033181122,0.0028911426,0.6313254,0.0052182344,0.00017270973,0.000015640162,0.35965785],"study_design_scores_gemma":[0.00077332935,0.0001686557,0.0000031479972,0.0018433846,0.00009932108,0.0000045488187,0.0017770518,0.86531466,0.12766682,0.0015040792,0.0002327791,0.0006122047],"about_ca_topic_score_codex":0.000058182966,"about_ca_topic_score_gemma":0.000054510616,"teacher_disagreement_score":0.86200374,"about_ca_system_score_codex":0.0008932912,"about_ca_system_score_gemma":0.00018233436,"threshold_uncertainty_score":0.9993413},"labels":[],"label_agreement":null},{"id":"W4417281817","doi":"10.1109/pimrc62392.2025.11275403","title":"Exploring O-RAN Compression Techniques in Decentralized Distributed MIMO Systems: Reducing Fronthaul Load","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Telecommunications link; Quantization (signal processing); MIMO; Scalability; Wireless; Block (permutation group theory); Reduction (mathematics); Bit error rate","score_opus":0.03199079814986573,"score_gpt":0.26534093859648,"score_spread":0.23335014044661428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417281817","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":[0.010632191,0.011104353,0.96369946,0.00010627766,0.003433097,0.0025009755,0.00006770532,0.0015200133,0.0069359234],"genre_scores_gemma":[0.9716981,0.00449853,0.022115944,0.000012922705,0.0001251537,0.00068910205,0.00012335517,0.0001171406,0.00061975326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99545527,0.0002839068,0.0019417581,0.00089053216,0.00038404294,0.0010445135],"domain_scores_gemma":[0.9980982,0.00025970684,0.00025194406,0.0009184928,0.00027994387,0.0001916957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061630213,0.0007346193,0.0011578314,0.0006335975,0.00020132943,0.00023494368,0.00046015682,0.00040712708,0.00007137401],"category_scores_gemma":[0.00034055335,0.0008109853,0.00015320664,0.0015656461,0.000060006492,0.0014548986,0.00021217053,0.0006171962,0.000022223447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013841537,0.00013577948,0.0010109132,0.0021322093,0.00012382836,0.000033143653,0.00093226036,0.9663054,0.018538877,0.0012424367,0.001045739,0.008361012],"study_design_scores_gemma":[0.002920488,0.00005122215,0.00045236247,0.02247975,0.00011867903,0.000011330494,0.0039349804,0.8701136,0.08721943,0.000080899415,0.011326762,0.001290506],"about_ca_topic_score_codex":0.0022976168,"about_ca_topic_score_gemma":0.0001864828,"teacher_disagreement_score":0.9610659,"about_ca_system_score_codex":0.0030204603,"about_ca_system_score_gemma":0.00017498703,"threshold_uncertainty_score":0.9994341},"labels":[],"label_agreement":null},{"id":"W4417439082","doi":"10.1109/tce.2025.3645185","title":"Enabling Seamless Connectivity in Consumer Electronics: A DRL Approach for Scalable Cell-Free mMIMO Handover Under O-RAN","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Consumer Electronics","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Handover; Scalability; Software deployment; Throughput; Latency (audio); Radio access technology; Context (archaeology); Reinforcement learning; Low latency (capital markets)","score_opus":0.011165051813229318,"score_gpt":0.2386324245637722,"score_spread":0.22746737275054288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417439082","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":[0.0052688974,0.0332702,0.95214355,0.00017310474,0.0015756561,0.004593952,0.00030864775,0.0005013835,0.0021646053],"genre_scores_gemma":[0.97458863,0.009820696,0.010010398,0.00020298878,0.00007192174,0.0018263098,0.00006716592,0.0003755828,0.003036279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99255097,0.0004095144,0.0017167047,0.0018837198,0.0005079199,0.0029311986],"domain_scores_gemma":[0.9953817,0.0016121942,0.00034756964,0.0018493346,0.0005075616,0.0003016355],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0010802536,0.0014107066,0.0016569166,0.0014505031,0.00086819654,0.00031944923,0.00090506976,0.0011770467,0.000100018384],"category_scores_gemma":[0.00008622136,0.0017763255,0.0006183345,0.0025967672,0.00026996137,0.00086375716,0.000013623606,0.0027200715,0.000036541936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009445404,0.001388926,0.00004293496,0.0015364379,0.0010769982,0.000003621543,0.00035702158,0.97020155,0.010674054,0.0026841487,0.00041173247,0.010678045],"study_design_scores_gemma":[0.01642915,0.00042998092,0.0000060211178,0.0005792185,0.0012488969,0.000025702777,0.00075596554,0.7962684,0.17095709,0.001850665,0.009322618,0.0021262793],"about_ca_topic_score_codex":0.00020738314,"about_ca_topic_score_gemma":0.0025618316,"teacher_disagreement_score":0.96931976,"about_ca_system_score_codex":0.0040295892,"about_ca_system_score_gemma":0.001972033,"threshold_uncertainty_score":0.99986434},"labels":[],"label_agreement":null},{"id":"W565267543","doi":"10.1109/mcom.2015.7120046","title":"Cloud assisted HetNets toward 5G wireless networks","year":2015,"lang":"en","type":"article","venue":"IEEE Communications Magazine","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":322,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Cloud computing; Heterogeneous network; Computer network; Quality of service; Software deployment; Cellular network; Mobile broadband; Wireless network; Wireless; Distributed computing; Telecommunications","score_opus":0.052044502129090196,"score_gpt":0.2798530082215409,"score_spread":0.2278085060924507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W565267543","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":[0.0025144566,0.0033457882,0.9502716,0.00051719346,0.002099763,0.00045535518,0.000016367068,0.0013927014,0.039386764],"genre_scores_gemma":[0.9801246,0.0006076284,0.01802153,0.000053841657,0.0002534309,0.000104516264,0.00012443728,0.000075845455,0.00063417305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897426,0.00010360009,0.00039098275,0.00015089306,0.00012597645,0.0002542573],"domain_scores_gemma":[0.9975574,0.00009173369,0.000080551516,0.0018866466,0.0002222925,0.00016137408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022424155,0.00018998253,0.00023375511,0.000097833,0.00009179813,0.000047126632,0.0008044494,0.00012312949,0.000010838891],"category_scores_gemma":[0.000042071544,0.00021297896,0.000048230104,0.00048649535,0.000084066465,0.00024340245,0.00009249779,0.000292047,0.000271835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000098529335,0.00006657171,0.00015887093,0.000026362986,0.000041488976,0.0000022875893,0.00032977056,0.95113647,0.0009451365,0.00075122906,0.0399116,0.0066203456],"study_design_scores_gemma":[0.0006181521,0.0000302032,0.00022195901,0.00006171615,0.000025900075,0.000029148305,0.000078887715,0.9320112,0.00023968231,0.00013862224,0.06622112,0.00032339507],"about_ca_topic_score_codex":0.000009459139,"about_ca_topic_score_gemma":0.00010181834,"teacher_disagreement_score":0.9776101,"about_ca_system_score_codex":0.00020541986,"about_ca_system_score_gemma":0.000029122277,"threshold_uncertainty_score":0.86850303},"labels":[],"label_agreement":null},{"id":"W6305233","doi":"10.1016/0003-2697(83)90072-6","title":"AN EFFICIENT SIGNALING METHOD OVER MIMO BROADCAST SYSTEMS WITH MULTIPLE RECEIVE ANTENNAS","year":2005,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"MIMO; Dirty paper coding; Interference (communication); Mathematics; Coding (social sciences); Channel (broadcasting); Topology (electrical circuits); Computer science; Throughput; Precoding; Telecommunications; Computer network; Wireless; Combinatorics; Statistics","score_opus":0.007742339618807118,"score_gpt":0.25247378919206803,"score_spread":0.2447314495732609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6305233","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":[0.173798,0.00054530567,0.82371247,0.000017904698,0.00007420171,0.00018146432,0.000026718226,0.00036767934,0.0012762746],"genre_scores_gemma":[0.96593165,0.000009315069,0.033359732,0.000020489722,0.00030283473,0.000017588705,0.00004961416,0.00005618539,0.00025258955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986759,0.000027934168,0.00033920622,0.00038127883,0.00021502946,0.000360676],"domain_scores_gemma":[0.99909437,0.00010080145,0.000057543974,0.00041318513,0.00010969731,0.00022440561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016934409,0.00025322978,0.000287095,0.000054685075,0.000059433965,0.00006555012,0.0001634327,0.0001661137,0.00004043889],"category_scores_gemma":[0.000058558668,0.00022660848,0.000058414324,0.00028440336,0.000058920785,0.00010722968,0.000016970187,0.00020336927,0.000027909971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018965402,0.000044148885,0.00026216556,0.00009755885,0.000055781453,0.000008991044,0.000054918273,0.8625103,0.13631119,0.000035597157,0.00009261119,0.0005077746],"study_design_scores_gemma":[0.00038277893,0.00002132871,0.00001720533,0.00011319324,0.00004219932,0.000030470592,0.00019612056,0.8690179,0.12954547,0.0000010096282,0.00035084516,0.0002814762],"about_ca_topic_score_codex":0.000015799662,"about_ca_topic_score_gemma":0.0000018495274,"teacher_disagreement_score":0.7921336,"about_ca_system_score_codex":0.00019436717,"about_ca_system_score_gemma":0.000021655509,"threshold_uncertainty_score":0.9240825},"labels":[],"label_agreement":null},{"id":"W647760229","doi":"","title":"Proceedings of the IASTED International Conference on Wireless Communications, June 1-3, 2011, Vancouver, BC, Canada","year":2011,"lang":"en","type":"book","venue":"ACTA Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Telecommunications; Wireless; Regional science; Political science; Operations research; Library science; Engineering; Geography; Computer science","score_opus":0.028077442853309747,"score_gpt":0.2177936212329753,"score_spread":0.18971617837966556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W647760229","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000040378116,0.00010500255,0.00020194984,0.000020632282,0.002370331,0.00063360244,0.00018093945,0.00011712009,0.99633],"genre_scores_gemma":[0.08894436,0.00031919408,0.0004911003,0.000031774794,0.00011718621,0.00012384178,0.00007266886,0.00012711459,0.90977275],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99885154,0.000012490941,0.0004459003,0.00021020051,0.00030354422,0.00017631856],"domain_scores_gemma":[0.9984609,0.000049797105,0.0003824761,0.00068856275,0.00036750862,0.000050777915],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000060928996,0.00029476325,0.00032254332,0.00006146724,0.000060845006,0.000021513635,0.0014817842,0.00021418229,0.00003482652],"category_scores_gemma":[0.000012808504,0.00025973518,0.00005695557,0.000011498303,0.00010246277,0.00008931497,0.00026618404,0.00045486412,0.0000019517136],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043023538,0.000035568395,0.000011086883,0.00074790773,0.0005118352,0.0000018314488,0.0012127131,0.001056779,0.002240426,0.07710955,0.91474175,0.0022875457],"study_design_scores_gemma":[0.000599223,0.000022377644,0.000011048373,0.0018521255,0.00011262508,0.0000063108246,0.000096547556,0.016924165,0.010260236,0.0007244926,0.9686549,0.000735956],"about_ca_topic_score_codex":0.018564004,"about_ca_topic_score_gemma":0.13957976,"teacher_disagreement_score":0.12101576,"about_ca_system_score_codex":0.00036658134,"about_ca_system_score_gemma":0.00031106413,"threshold_uncertainty_score":0.9999855},"labels":[],"label_agreement":null},{"id":"W6620448","doi":"","title":"Deployment and operational aspects of rural broadband wireless access networks","year":2012,"lang":"en","type":"dissertation","venue":"The Journal of Otolaryngology","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Telecommunications; Broadband; Wireless broadband; Wireless; Computer network; Wireless network; Computer science; Broadband networks; Software engineering","score_opus":0.009294516041425943,"score_gpt":0.2527964580690644,"score_spread":0.24350194202763847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6620448","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":[0.9514723,0.0105983885,0.034577593,0.00001814661,0.0017187663,0.00028127764,0.0000036411063,0.000019419933,0.0013104933],"genre_scores_gemma":[0.99754435,0.0017044487,0.00014516874,0.0000132170635,0.00037923618,0.0000057470124,0.000046397225,0.000047757923,0.00011370582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99893045,0.00010054699,0.0005933328,0.00004823916,0.00014792221,0.00017949971],"domain_scores_gemma":[0.99903953,0.00012488046,0.00044940625,0.00012915756,0.00019613067,0.00006091811],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030498818,0.000189081,0.00045989934,0.00013901702,0.000042875534,0.000018095576,0.00027107017,0.00022117542,0.000036305817],"category_scores_gemma":[0.00001818911,0.0001399998,0.000057817513,0.00009959282,0.00003863144,0.00033409684,0.000022765455,0.0004086316,0.0000011273409],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056025386,0.000085609616,0.010307782,0.0007533532,0.0009587864,0.000016757711,0.0031375852,0.9559608,0.02069121,0.0016953691,0.0008885479,0.004943909],"study_design_scores_gemma":[0.0100506535,0.0016902703,0.5962366,0.005235462,0.0039375247,0.008418596,0.005278521,0.3051644,0.056476563,0.0025268425,0.0016963903,0.0032881934],"about_ca_topic_score_codex":0.000014467273,"about_ca_topic_score_gemma":0.000069605696,"teacher_disagreement_score":0.6507964,"about_ca_system_score_codex":0.000053416825,"about_ca_system_score_gemma":0.000044206437,"threshold_uncertainty_score":0.5709026},"labels":[],"label_agreement":null},{"id":"W6889176240","doi":"10.25504/fairsharing.41de90","title":"FAIRsharing record for: WHO Guidelines for good clinical practice (GCP) for trials on pharmaceutical products","year":2022,"lang":"en","type":"dataset","venue":"FAIRsharing.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Good clinical practice; Clinical Practice; Clinical trial; Good manufacturing practice; Good practice; Set (abstract data type); Pharmaceutical industry; Good laboratory practice; Alternative medicine","score_opus":0.34771768535315467,"score_gpt":0.4952829109576249,"score_spread":0.14756522560447022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889176240","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000099561175,0.001039337,0.071766555,0.0010719995,0.01131467,0.010583516,0.9032991,0.0007366595,0.0001782229],"genre_scores_gemma":[0.000018992172,0.0011227215,0.06861991,0.0007431208,0.009313197,0.00978284,0.90858984,0.0004924408,0.0013169479],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9926091,0.00029000168,0.0038141932,0.0017184386,0.0004953889,0.001072911],"domain_scores_gemma":[0.9886849,0.0067126537,0.001368018,0.0015178643,0.001432034,0.00028452533],"candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0075939805,0.0010226413,0.0023444078,0.00040655534,0.00041438837,0.00015927629,0.0011103933,0.0008382824,0.00045146825],"category_scores_gemma":[0.063829675,0.0010756387,0.0008389801,0.00039043344,0.000048045167,0.0005986748,0.00042532576,0.0012575885,0.00004487006],"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":[0.0010720536,0.0001765986,0.000010239592,0.0030373037,0.00063084374,0.0000059955705,0.000024904783,0.022171848,0.00004580362,0.00017309276,0.9688019,0.003849407],"study_design_scores_gemma":[0.0037125528,0.0006613884,0.0000021204332,0.00043965506,0.0010207026,0.000014390728,0.000099694465,0.015245772,0.00039732593,0.00008958057,0.97722775,0.0010890772],"about_ca_topic_score_codex":0.000025892221,"about_ca_topic_score_gemma":0.000040666564,"teacher_disagreement_score":0.056235697,"about_ca_system_score_codex":0.00057343906,"about_ca_system_score_gemma":0.00023397664,"threshold_uncertainty_score":0.9991694},"labels":[],"label_agreement":null},{"id":"W6892819715","doi":"10.5281/zenodo.12392428","title":"Metro journal gratuit pdf","year":2024,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Ligne; Publishing; Metropolitan area","score_opus":0.019027928526139604,"score_gpt":0.22870360420538832,"score_spread":0.20967567567924872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6892819715","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000020022782,0.0038932534,0.22014993,0.00038185556,0.001894734,0.00053569145,0.00022886472,0.0013207579,0.77157485],"genre_scores_gemma":[0.005705834,0.0015390397,0.008756701,0.00006287427,0.0029626477,9.817177e-8,0.0015355209,0.026106924,0.95333034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970512,0.0004176408,0.0006487155,0.00063788425,0.00050045934,0.0007441143],"domain_scores_gemma":[0.9980562,0.000025730955,0.00023834215,0.00063925755,0.0006313001,0.00040920504],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007819218,0.0004913006,0.0004432185,0.0009264706,0.0012767669,0.0023992672,0.0012829703,0.00036356619,0.3690672],"category_scores_gemma":[0.0006435149,0.0005527354,0.00018634477,0.0010894531,0.00016879517,0.00038794152,0.00085192773,0.0013654478,0.4312786],"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":[0.000016593522,0.00006323488,4.2443529e-7,0.0008757327,0.0003708021,0.00014367387,0.0009501318,0.013262993,0.0013950487,0.009615966,0.8949053,0.078400046],"study_design_scores_gemma":[0.00039375058,0.00015587531,0.000006101539,0.000665694,0.000113657596,0.0007908456,0.00032274102,0.0040715267,0.00013874806,0.00076680287,0.9920684,0.00050586887],"about_ca_topic_score_codex":0.000011787523,"about_ca_topic_score_gemma":0.0000013015053,"teacher_disagreement_score":0.21139324,"about_ca_system_score_codex":0.0011515031,"about_ca_system_score_gemma":0.000008505618,"threshold_uncertainty_score":0.99969244},"labels":[],"label_agreement":null},{"id":"W6893765421","doi":"10.5281/zenodo.4579080","title":"Argyrotheca Dall 1900","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Genus; Type (biology); Natural (archaeology); Identification (biology); Class (philosophy)","score_opus":0.019652743564414998,"score_gpt":0.21288391816166416,"score_spread":0.19323117459724917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6893765421","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":[0.0034615556,0.00012946375,0.6823263,0.00031881794,0.00025616045,0.0004693543,0.00015328718,0.004231131,0.30865392],"genre_scores_gemma":[0.99287003,0.0001787516,0.0016385651,0.0000419217,0.00022205473,7.792165e-8,0.00021384758,0.002576048,0.0022587273],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901223,0.00008359651,0.00020195372,0.00023462262,0.00016654968,0.00030105677],"domain_scores_gemma":[0.99923694,0.00001883274,0.00003837703,0.00037967166,0.00020504935,0.00012113673],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022730634,0.00012572025,0.00011008466,0.00014780278,0.00054252194,0.000180812,0.00049549557,0.00005548414,0.0060703764],"category_scores_gemma":[0.00020961331,0.000108728615,0.000032093936,0.00028427152,0.000063911924,0.00033381357,0.00023189925,0.000096150856,0.010793047],"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":[0.000054548476,0.0000933767,0.000008060266,0.00018465724,0.000114455244,0.00002212027,0.0011635019,0.014466215,0.14749907,0.016746622,0.2976314,0.5220159],"study_design_scores_gemma":[0.00045147268,0.000054612734,0.000059692575,0.000051191364,0.0000050104304,0.000053348573,0.00006321312,0.0020846615,0.0025744825,0.00021751956,0.9941928,0.00019199186],"about_ca_topic_score_codex":0.0000013975491,"about_ca_topic_score_gemma":1.4431347e-7,"teacher_disagreement_score":0.98940843,"about_ca_system_score_codex":0.00017732826,"about_ca_system_score_gemma":9.796973e-7,"threshold_uncertainty_score":0.99483824},"labels":[],"label_agreement":null},{"id":"W6920273031","doi":"10.60692/fgybg-sxh51","title":"Energy Efficiency Analysis in Heterogeneous Networks: A Stochastic Geometry Perspective","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stochastic geometry; Poisson point process; Point process; Poisson distribution; Point (geometry); Energy consumption; Perspective (graphical); Expression (computer science)","score_opus":0.010866871557767591,"score_gpt":0.19739888808411837,"score_spread":0.1865320165263508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920273031","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":[0.06130331,0.000019621519,0.9364714,0.0000027644646,0.00032687682,0.00019633907,0.000029874145,0.00096839486,0.0006814374],"genre_scores_gemma":[0.99961793,4.9059884e-7,0.000109777895,0.000009632851,0.000049832128,0.000108393455,0.000047057394,0.000021179374,0.00003571601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987149,0.000034583572,0.00057733845,0.0001517262,0.0001871987,0.00033421756],"domain_scores_gemma":[0.99940014,0.0000135260125,0.00011498765,0.00028798706,0.00011623628,0.00006713372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019314511,0.00019112334,0.0003079739,0.0018573375,0.000059618982,0.00007967377,0.00013200754,0.00011179017,0.000007604619],"category_scores_gemma":[0.000015354859,0.0001903468,0.00009708993,0.004003968,0.00001266112,0.00043400488,0.00003252859,0.000077382276,0.00020069639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005656479,5.3182407e-7,0.001977298,0.000052703283,0.000100696205,0.0000039913266,0.012404766,0.9852497,2.797485e-7,0.00012910385,0.0000073228935,0.00006792348],"study_design_scores_gemma":[0.00029755165,0.000010032706,0.0017465345,0.000047771275,0.000046482128,0.000010498289,0.008596713,0.98903716,0.000016596654,9.401653e-7,0.000003885711,0.00018583458],"about_ca_topic_score_codex":0.0000211693,"about_ca_topic_score_gemma":0.0000033416807,"teacher_disagreement_score":0.9383146,"about_ca_system_score_codex":0.00047250986,"about_ca_system_score_gemma":0.000009247319,"threshold_uncertainty_score":0.7762117},"labels":[],"label_agreement":null},{"id":"W6920361068","doi":"10.60692/gdhrh-bc873","title":"Multiuser Massive MIMO Systems With Time-Offset Pilots and Successive Interference Cancellation","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Single antenna interference cancellation; Telecommunications link; Interference (communication); Power control; MIMO; Base station; Estimator; Channel (broadcasting)","score_opus":0.00936017694544446,"score_gpt":0.17556765504030705,"score_spread":0.16620747809486258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920361068","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":[0.45721442,0.00003324359,0.5331159,0.000007923503,0.0008633628,0.0017003575,0.00014308983,0.0007929117,0.006128801],"genre_scores_gemma":[0.9988415,6.0798556e-7,0.0005041636,0.000009547184,0.000049478094,0.00010833566,0.000058465197,0.000030669584,0.00039721947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884295,0.000038075577,0.00051845395,0.00017336938,0.00019211085,0.00023506339],"domain_scores_gemma":[0.99909735,0.000015733312,0.00026795838,0.00029976133,0.00023261081,0.000086609936],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011259949,0.0002542478,0.00030203027,0.00022544747,0.000065687585,0.00019877884,0.00010792252,0.00011794834,0.000016731723],"category_scores_gemma":[0.0000065021854,0.00020716985,0.00002107007,0.00020389367,0.000019975234,0.0014305791,0.000028475735,0.00010270492,0.0008466264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007654771,8.7983636e-7,0.03797703,0.0016772038,0.00007593922,0.0000022978613,0.021166196,0.9385986,0.000050236264,0.00010021118,0.00009198945,0.00018292524],"study_design_scores_gemma":[0.0013072646,0.00007078958,0.0022991903,0.0010788934,0.000023056284,0.0000392045,0.0067992983,0.9874561,0.0004381797,1.9399725e-7,0.00010694538,0.0003808806],"about_ca_topic_score_codex":0.000014447683,"about_ca_topic_score_gemma":6.873426e-7,"teacher_disagreement_score":0.5416271,"about_ca_system_score_codex":0.00022152267,"about_ca_system_score_gemma":0.000018112973,"threshold_uncertainty_score":0.99993134},"labels":[],"label_agreement":null},{"id":"W6925245328","doi":"10.17611/dp/15254826","title":"Magnetotelluric Transfer Functions","year":2017,"lang":"en","type":"other","venue":"NSF Seismological Facility for the Advancement of Geoscience (SAGE)","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":"Geological Survey of Canada","funders":"","keywords":"Magnetotellurics; Transfer function; Field (mathematics); Transfer (computing); Interpretation (philosophy)","score_opus":0.023112064921646802,"score_gpt":0.24883964076504048,"score_spread":0.22572757584339367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6925245328","genre_codex":"methods","genre_gemma":"other","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":[0.000026556465,0.002904665,0.9904414,0.00015776115,0.0014635929,0.0016113785,0.0014529402,0.00036747032,0.0015742345],"genre_scores_gemma":[0.003291562,0.0027417005,0.0044473037,0.000072623196,0.000112744034,0.00034638605,0.000113708906,0.000091195696,0.98878276],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99821895,0.000033815686,0.00040141848,0.0005187603,0.00032808236,0.0004989829],"domain_scores_gemma":[0.9986378,0.00015115751,0.00012500628,0.00094369956,0.00005121612,0.00009115427],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000343602,0.00039929475,0.0005033529,0.00010850959,0.00028020653,0.000034557997,0.0007425034,0.00027867564,0.00059466856],"category_scores_gemma":[0.00011286389,0.00028424364,0.00021513314,0.00018188235,0.0005224807,0.00017057602,0.00006797621,0.00022379182,0.000051377723],"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":[0.000018279236,0.00005308603,0.00001596538,0.00026851267,0.000041572803,0.0000014458557,0.000027581566,0.058316898,0.00028338,0.00013052285,0.00009884001,0.9407439],"study_design_scores_gemma":[0.00036721083,0.00015998975,0.00004741471,0.00012680168,0.00006410275,0.0000028330494,0.000034271365,0.0077298153,0.00014983633,0.00010312474,0.9908846,0.00033002417],"about_ca_topic_score_codex":0.00008337127,"about_ca_topic_score_gemma":0.000037723774,"teacher_disagreement_score":0.9907857,"about_ca_system_score_codex":0.00009808667,"about_ca_system_score_gemma":0.000028864131,"threshold_uncertainty_score":0.99996096},"labels":[],"label_agreement":null},{"id":"W6939016497","doi":"10.60692/eyja3-a4a11","title":"Energy-efficient and high-spectrum-efficiency wireless transmission","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Wi-Fi array; Fixed wireless; Municipal wireless network; Wireless network; Wireless; Wireless WAN; Wireless distribution system; Key distribution in wireless sensor networks; Base transceiver station; Mobile broadband","score_opus":0.008143679809549357,"score_gpt":0.1662068293369612,"score_spread":0.15806314952741185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6939016497","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":[0.15857299,0.000023533057,0.83874935,0.0000120259465,0.00046301895,0.0002248148,0.000052393243,0.0006140618,0.0012878217],"genre_scores_gemma":[0.9992987,6.128952e-7,0.00039881867,0.000019930218,0.000031774805,0.00013893201,0.000029720024,0.000022777624,0.000058746802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988533,0.000044332828,0.00047386385,0.00013115966,0.0002678423,0.00022949655],"domain_scores_gemma":[0.99956226,0.0000048902316,0.00010540604,0.00021203814,0.0000332367,0.000082157654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780095,0.00017300934,0.00018759421,0.00027080363,0.00028808668,0.00006785019,0.00011962375,0.0000502576,0.000031081203],"category_scores_gemma":[0.0000010663865,0.00016815597,0.00003395512,0.0003302432,0.000014102864,0.00028753254,0.000046123077,0.00010059806,0.000027033615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001257247,0.0000015608629,0.00027160166,0.00020552122,0.000010596777,0.000001841171,0.018712379,0.9777588,0.000017311262,0.0011906978,0.000030192996,0.0017868865],"study_design_scores_gemma":[0.0006131469,0.00003170873,0.00026037436,0.000044378685,0.000009839198,0.00006597338,0.005237462,0.99184155,0.00088858895,0.0000013832322,0.00077829964,0.00022728762],"about_ca_topic_score_codex":0.0000072565954,"about_ca_topic_score_gemma":5.4713983e-8,"teacher_disagreement_score":0.8407257,"about_ca_system_score_codex":0.0002473663,"about_ca_system_score_gemma":0.000012443996,"threshold_uncertainty_score":0.68572015},"labels":[],"label_agreement":null},{"id":"W6958117466","doi":"10.60692/pkwgh-nz056","title":"Energy-efficient and high-spectrum-efficiency wireless transmission","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Wi-Fi array; Fixed wireless; Municipal wireless network; Wireless network; Wireless; Wireless WAN; Wireless distribution system; Key distribution in wireless sensor networks; Base transceiver station; Mobile broadband","score_opus":0.008143679809549357,"score_gpt":0.1662068293369612,"score_spread":0.15806314952741185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958117466","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":[0.15857299,0.000023533057,0.83874935,0.0000120259465,0.00046301895,0.0002248148,0.000052393243,0.0006140618,0.0012878217],"genre_scores_gemma":[0.9992987,6.128952e-7,0.00039881867,0.000019930218,0.000031774805,0.00013893201,0.000029720024,0.000022777624,0.000058746802],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988533,0.000044332828,0.00047386385,0.00013115966,0.0002678423,0.00022949655],"domain_scores_gemma":[0.99956226,0.0000048902316,0.00010540604,0.00021203814,0.0000332367,0.000082157654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780095,0.00017300934,0.00018759421,0.00027080363,0.00028808668,0.00006785019,0.00011962375,0.0000502576,0.000031081203],"category_scores_gemma":[0.0000010663865,0.00016815597,0.00003395512,0.0003302432,0.000014102864,0.00028753254,0.000046123077,0.00010059806,0.000027033615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001257247,0.0000015608629,0.00027160166,0.00020552122,0.000010596777,0.000001841171,0.018712379,0.9777588,0.000017311262,0.0011906978,0.000030192996,0.0017868865],"study_design_scores_gemma":[0.0006131469,0.00003170873,0.00026037436,0.000044378685,0.000009839198,0.00006597338,0.005237462,0.99184155,0.00088858895,0.0000013832322,0.00077829964,0.00022728762],"about_ca_topic_score_codex":0.0000072565954,"about_ca_topic_score_gemma":5.4713983e-8,"teacher_disagreement_score":0.8407257,"about_ca_system_score_codex":0.0002473663,"about_ca_system_score_gemma":0.000012443996,"threshold_uncertainty_score":0.68572015},"labels":[],"label_agreement":null},{"id":"W6958275286","doi":"10.60692/65gws-90g13","title":"Energy Efficiency Analysis in Heterogeneous Networks: A Stochastic Geometry Perspective","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Stochastic geometry; Poisson point process; Point process; Poisson distribution; Point (geometry); Energy consumption; Perspective (graphical); Expression (computer science)","score_opus":0.010866871557767591,"score_gpt":0.19739888808411837,"score_spread":0.1865320165263508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958275286","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":[0.06130331,0.000019621519,0.9364714,0.0000027644646,0.00032687682,0.00019633907,0.000029874145,0.00096839486,0.0006814374],"genre_scores_gemma":[0.99961793,4.9059884e-7,0.000109777895,0.000009632851,0.000049832128,0.000108393455,0.000047057394,0.000021179374,0.00003571601],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987149,0.000034583572,0.00057733845,0.0001517262,0.0001871987,0.00033421756],"domain_scores_gemma":[0.99940014,0.0000135260125,0.00011498765,0.00028798706,0.00011623628,0.00006713372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019314511,0.00019112334,0.0003079739,0.0018573375,0.000059618982,0.00007967377,0.00013200754,0.00011179017,0.000007604619],"category_scores_gemma":[0.000015354859,0.0001903468,0.00009708993,0.004003968,0.00001266112,0.00043400488,0.00003252859,0.000077382276,0.00020069639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005656479,5.3182407e-7,0.001977298,0.000052703283,0.000100696205,0.0000039913266,0.012404766,0.9852497,2.797485e-7,0.00012910385,0.0000073228935,0.00006792348],"study_design_scores_gemma":[0.00029755165,0.000010032706,0.0017465345,0.000047771275,0.000046482128,0.000010498289,0.008596713,0.98903716,0.000016596654,9.401653e-7,0.000003885711,0.00018583458],"about_ca_topic_score_codex":0.0000211693,"about_ca_topic_score_gemma":0.0000033416807,"teacher_disagreement_score":0.9383146,"about_ca_system_score_codex":0.00047250986,"about_ca_system_score_gemma":0.000009247319,"threshold_uncertainty_score":0.7762117},"labels":[],"label_agreement":null},{"id":"W6969085067","doi":"10.5281/zenodo.5500168","title":"5G Non-Public-Networks (NPN) Roaming Architecture","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nutrasource","funders":"European Commission","keywords":"Roaming; Backhaul (telecommunications); Software deployment; Architecture; Flexibility (engineering); Cellular network; Service (business)","score_opus":0.01539386162417638,"score_gpt":0.2059442753379373,"score_spread":0.1905504137137609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6969085067","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":[0.0015234322,0.00030582506,0.876833,0.00021381918,0.00025918512,0.0002598541,0.000050117906,0.0018771351,0.11867762],"genre_scores_gemma":[0.9896009,0.00016436183,0.0042876815,0.0000895255,0.0003796947,9.821643e-8,0.002036024,0.0024680144,0.00097370247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985922,0.00014651369,0.0002627678,0.00034263346,0.0002181919,0.00043770092],"domain_scores_gemma":[0.9987975,0.000023279279,0.000051754458,0.0004816504,0.0004674039,0.00017845737],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002757787,0.00017473615,0.00016871549,0.00017275654,0.00096309354,0.00058282516,0.0004975999,0.00009769867,0.00312821],"category_scores_gemma":[0.00034219603,0.00020445239,0.00005294676,0.0007859482,0.000053427735,0.0002921547,0.00036275986,0.0003673068,0.0014676821],"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":[0.000014209844,0.000064152846,0.0000043366967,0.00017061082,0.00009699426,0.00006158937,0.0010848716,0.73161924,0.012424296,0.0018577196,0.054220323,0.19838166],"study_design_scores_gemma":[0.00044793583,0.000042521548,0.00007554233,0.00006160289,0.000011252055,0.00024062008,0.0002956687,0.111505024,0.0017366732,0.00008839182,0.88518214,0.00031263527],"about_ca_topic_score_codex":0.0000015980602,"about_ca_topic_score_gemma":6.654241e-7,"teacher_disagreement_score":0.98807746,"about_ca_system_score_codex":0.00017703071,"about_ca_system_score_gemma":0.0000034291772,"threshold_uncertainty_score":0.9993098},"labels":[],"label_agreement":null},{"id":"W6976558471","doi":"10.60692/b4ysn-h4895","title":"Uplink Performance Analysis for Massive MIMO Linear Processing","year":2019,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Telecommunications link; MIMO; Single antenna interference cancellation; Multipath propagation; Interference (communication); Computational complexity theory; Base station; Antenna array; Antenna (radio)","score_opus":0.015695730821927406,"score_gpt":0.20137478851566368,"score_spread":0.18567905769373627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976558471","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":[0.21826434,0.000005888857,0.77869016,0.0000033400604,0.0003035805,0.0006527557,0.000037383157,0.00049152214,0.0015510261],"genre_scores_gemma":[0.9906265,2.2045138e-7,0.0088012405,0.000015689915,0.00007338651,0.00015925807,0.0000897659,0.000025476964,0.0002084739],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988732,0.000009256571,0.0005947911,0.0001299533,0.00014323341,0.00024960187],"domain_scores_gemma":[0.9992211,0.0000055262535,0.00017961935,0.00028856462,0.000248277,0.00005694441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001704364,0.00019012226,0.00030955087,0.00042354345,0.000084949366,0.000093745984,0.00012612475,0.00011697213,0.00001227156],"category_scores_gemma":[0.0000064622227,0.00017488631,0.00010250379,0.0005849176,0.000007756981,0.0012887307,0.000016301308,0.00007033203,0.0004937172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014145443,3.21918e-7,0.03965708,0.0014783099,0.00010506394,9.098083e-8,0.00835688,0.9499552,0.00000417706,0.000015635595,0.000009967135,0.00040311148],"study_design_scores_gemma":[0.000540884,0.000019007653,0.002730673,0.00012701523,0.000090335496,0.000003778056,0.0022874086,0.9931775,0.00067715294,1.04244144e-7,0.00013171579,0.00021447754],"about_ca_topic_score_codex":6.3579097e-7,"about_ca_topic_score_gemma":6.705837e-8,"teacher_disagreement_score":0.7723622,"about_ca_system_score_codex":0.00016465715,"about_ca_system_score_gemma":0.000016056445,"threshold_uncertainty_score":0.7131657},"labels":[],"label_agreement":null},{"id":"W6976610883","doi":"10.60692/bdvg5-wck72","title":"Precoded Large Scale Multi‐User‐MIMO System Using Likelihood Ascent Search for Signal Detection","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Precoding; Base station; User equipment; Interference (communication); Multiuser detection; Spectral efficiency; Detection theory; Joint (building); Bit error rate","score_opus":0.02415771348478084,"score_gpt":0.22049487599583956,"score_spread":0.1963371625110587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6976610883","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":[0.1357207,0.000011846381,0.8595943,0.000001545237,0.0011471653,0.0017379075,0.00050198485,0.0010948183,0.00018976652],"genre_scores_gemma":[0.991718,8.284866e-8,0.0071552624,0.000009659299,0.00013421851,0.00077264133,0.000093419694,0.00006602898,0.00005067858],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783516,0.00012081698,0.00089638453,0.00021817631,0.0003909011,0.0005385614],"domain_scores_gemma":[0.99903524,0.000011578321,0.00023678376,0.00034946014,0.0002447017,0.0001222544],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007369534,0.00027503888,0.00033323257,0.00043524828,0.0006087604,0.00014496884,0.00020230158,0.000119614786,0.000015300731],"category_scores_gemma":[0.00000483911,0.00029849727,0.00012533648,0.00041807521,0.000008721575,0.00092256267,0.000095824806,0.00019570788,0.00008648914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006324397,0.0000043469354,0.0027394365,0.002120612,0.000053143664,9.479215e-7,0.024038693,0.9704076,0.0001976167,0.000028555318,0.00001635856,0.0003294473],"study_design_scores_gemma":[0.001854716,0.000050812094,0.00020490887,0.00016501566,0.000035786477,0.00007721317,0.037713096,0.95246047,0.006879932,8.191589e-8,0.00025254796,0.00030544872],"about_ca_topic_score_codex":0.000008686108,"about_ca_topic_score_gemma":0.000001325758,"teacher_disagreement_score":0.8559973,"about_ca_system_score_codex":0.001586722,"about_ca_system_score_gemma":0.000036698195,"threshold_uncertainty_score":0.9999467},"labels":[],"label_agreement":null},{"id":"W6989819939","doi":"","title":"Channel estimation for large MIMO systems under hardware impairments","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"MIMO; Estimator; Channel (broadcasting); Minimum mean square error; Base station; 3G MIMO; Precoding; Distortion (music)","score_opus":0.012754765830935945,"score_gpt":0.2424279196786193,"score_spread":0.22967315384768336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6989819939","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":[0.35781035,0.014394193,0.12799624,0.00007854584,0.116524056,0.053553388,0.107803315,0.024875985,0.19696394],"genre_scores_gemma":[0.97327995,0.0002390795,0.0022898482,0.00003841426,0.00022172817,0.00215904,0.0073372857,0.0008448852,0.01358978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959128,0.00013440424,0.0012621735,0.0009977916,0.0005868778,0.001105934],"domain_scores_gemma":[0.9974389,0.0002038379,0.00058414246,0.0008367243,0.00060980016,0.0003266067],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056555844,0.0010665186,0.0009943937,0.00055693014,0.00087352586,0.00013249667,0.00052975223,0.001175828,0.000055948065],"category_scores_gemma":[0.0003163041,0.0010904914,0.00036490784,0.0003885555,0.000015381482,0.0013797751,0.000052649746,0.00062658475,0.0003464743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055482954,0.00047247965,0.000010733769,0.016140498,0.0020744354,0.000065245906,0.000083025545,0.8160218,0.03476852,0.08326284,0.00037275476,0.04617286],"study_design_scores_gemma":[0.026184278,0.0014027976,0.0004735444,0.026785089,0.0028008958,0.00031846797,0.004357629,0.5153446,0.14859405,0.06924012,0.18589668,0.018601798],"about_ca_topic_score_codex":0.00003269642,"about_ca_topic_score_gemma":0.0001550736,"teacher_disagreement_score":0.6154696,"about_ca_system_score_codex":0.0017300104,"about_ca_system_score_gemma":0.000038177106,"threshold_uncertainty_score":0.9991545},"labels":[],"label_agreement":null},{"id":"W6991128027","doi":"","title":"EVgo to Report Third Quarter 2023 Results on November 8, 2023 EVgo to Report Third Quarter 2023 Results on November 8, 2023Popular Channels EVgo to Report Third Quarter 2023 Results on November 8, 2023Popular ChannelsTools &amp;amp; Features EVgo to Report Third Quarter 2023 Results on November 8, 2023Popular ChannelsTools &amp;amp; FeaturesPartners &amp;amp; Contributors EVgo to Report Third Quarter 2023 Results on November 8, 2023Popular ChannelsTools &amp;amp; Features...","year":2023,"lang":"en","type":"other","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","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":"Quarter (Canadian coin); Third world; Third generation; Period (music)","score_opus":0.030392108648462188,"score_gpt":0.29939383748737997,"score_spread":0.26900172883891776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6991128027","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024013354,0.0024979329,0.025937991,0.06640575,0.12410201,0.08473155,0.11289934,0.026309451,0.53310263],"genre_scores_gemma":[0.0053883377,0.00057003135,0.012989838,0.011919703,0.024035228,0.011172299,0.11592112,0.010986902,0.80701655],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.8855261,0.0045506065,0.03487024,0.033405334,0.0221806,0.019467123],"domain_scores_gemma":[0.90793765,0.0052583814,0.019811716,0.04430127,0.009610094,0.013080896],"candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow","bibliometrics","research_integrity","insufficient_payload"],"category_scores_codex":[0.032473125,0.022822773,0.021866705,0.017929569,0.004870663,0.007035864,0.01133405,0.018978145,0.0026085929],"category_scores_gemma":[0.049237948,0.022819165,0.009531547,0.022400578,0.0013393468,0.0047959103,0.0046635224,0.020774562,0.12165142],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.036512323,0.0031933847,0.00010384888,0.0011432285,0.0056189983,0.027942082,0.0055028414,0.14567587,0.003390951,0.00016527163,0.77040213,0.00034910179],"study_design_scores_gemma":[0.019536642,0.0040412447,0.0016075829,0.017626204,0.002318691,0.012522113,0.0016767612,0.0002813556,0.001614284,0.0004905861,0.91407526,0.024209289],"about_ca_topic_score_codex":0.026840901,"about_ca_topic_score_gemma":0.19933137,"teacher_disagreement_score":0.27391392,"about_ca_system_score_codex":0.0123372795,"about_ca_system_score_gemma":0.0024465406,"threshold_uncertainty_score":0.99837875},"labels":[],"label_agreement":null},{"id":"W6995747376","doi":"","title":"Performance Evaluation of Ultra-Dense Networks with Applications in Internet-of-Things","year":2019,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Concordia University","keywords":"Backhaul (telecommunications); Cellular network; Base station; Wireless network; Radio resource management; Radio access network; Wireless; Software deployment; Access network","score_opus":0.016109578677038817,"score_gpt":0.25844393815599803,"score_spread":0.2423343594789592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6995747376","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":[0.8883798,0.00031244068,0.015492879,0.0000019151462,0.00030510375,0.0016346371,0.000002221712,0.00006936738,0.093801625],"genre_scores_gemma":[0.99493337,0.00019371086,0.0001584112,2.0079649e-7,0.0000373037,0.000022644414,0.00016707712,0.00005867119,0.004428622],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980906,0.00021649392,0.00037265138,0.00035692987,0.0006286748,0.00033463867],"domain_scores_gemma":[0.9984038,0.00015323871,0.00024112407,0.00048109362,0.000650507,0.00007022592],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006202711,0.00022115598,0.00039810417,0.0011899904,0.000063756124,0.000018334298,0.00040358474,0.00028134926,0.000011763772],"category_scores_gemma":[0.000023284969,0.00024848437,0.000069108,0.0013361578,0.00009338255,0.00041835755,0.000022466684,0.000682873,0.0000036201673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00057016657,0.00010031215,0.07159952,0.0018688259,0.00026429113,0.000019206513,0.002448317,0.9093503,0.009108338,0.0007455574,0.000044575074,0.0038806102],"study_design_scores_gemma":[0.0017737672,0.0004547599,0.035003286,0.0018791512,0.00021287192,0.000009195667,0.0043738373,0.8680497,0.08726917,0.000032259253,0.00028167595,0.0006603226],"about_ca_topic_score_codex":0.0015190556,"about_ca_topic_score_gemma":0.0013873832,"teacher_disagreement_score":0.10655355,"about_ca_system_score_codex":0.0008785177,"about_ca_system_score_gemma":0.00038151696,"threshold_uncertainty_score":0.9999967},"labels":[],"label_agreement":null},{"id":"W6998607860","doi":"","title":"Analysis of Relaxed User Orthogonality for Wireless Multi-user MIMO Downlink Transmission","year":2019,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Queen's University; Government of Ontario","keywords":"Nucleofection; Articular cartilage damage; Sulfinpyrazone; Hyporeflexia; TSG101; Gestational period","score_opus":0.006637207742748587,"score_gpt":0.20367373908964317,"score_spread":0.19703653134689458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6998607860","genre_codex":"methods","genre_gemma":"other","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":[0.1551936,0.0002049753,0.83354515,0.0008071465,0.0010710445,0.0029743738,0.0015339354,0.0013906833,0.0032790857],"genre_scores_gemma":[0.28258872,0.0013909696,0.06350629,0.000026704434,0.00008702064,0.000016300692,0.022156063,0.00043010493,0.6297978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982867,0.00009561265,0.00043299774,0.0005845089,0.00024769973,0.00035248243],"domain_scores_gemma":[0.9985527,0.0001643698,0.00035340528,0.0005964454,0.0001716181,0.00016146294],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006237328,0.00049110403,0.0010124183,0.001003073,0.00010474208,0.000030650106,0.00044533997,0.0007487679,0.00017351063],"category_scores_gemma":[0.000013110128,0.0005779653,0.0006293452,0.0014346987,0.00003166486,0.001183066,0.000032925764,0.00036034812,0.000010452047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015684653,0.0003532152,0.021155149,0.0070045786,0.0070768185,0.000043452757,0.0038791497,0.9305497,0.0011402826,0.0035132933,0.021306504,0.0024094055],"study_design_scores_gemma":[0.014478314,0.00056324183,0.07367243,0.0043044854,0.023339655,7.027986e-7,0.015593235,0.22288707,0.06126665,0.00008581124,0.5748701,0.008938305],"about_ca_topic_score_codex":0.0003917417,"about_ca_topic_score_gemma":0.00013717676,"teacher_disagreement_score":0.77003884,"about_ca_system_score_codex":0.00014865524,"about_ca_system_score_gemma":0.00013171461,"threshold_uncertainty_score":0.99966717},"labels":[],"label_agreement":null},{"id":"W7015517549","doi":"","title":"Studies in cell-free massive-MIMO: Green power allocation, physical security, and DoA estimation","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Power (physics); Noise (video); Estimation; Control theory (sociology); Stability (learning theory)","score_opus":0.014733281718840105,"score_gpt":0.26315541777254736,"score_spread":0.24842213605370725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7015517549","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":[0.98103595,0.0012564856,0.000021537031,0.000022500579,0.0022183852,0.0015067757,0.0005517311,0.0013304907,0.012056146],"genre_scores_gemma":[0.99406147,0.00066688424,0.0013431102,0.000020245809,0.00006619112,0.00040573557,0.0010536145,0.0003770249,0.0020057494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99693644,0.00016186458,0.0008994431,0.00087448326,0.00054332527,0.00058443804],"domain_scores_gemma":[0.9980318,0.00030870936,0.00033445982,0.00074567157,0.00040328442,0.00017605165],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042332496,0.0008054361,0.00088977395,0.00064541475,0.00036445243,0.00006500872,0.0004591652,0.0005848138,0.000012011318],"category_scores_gemma":[0.00066851533,0.000936317,0.00013967458,0.00091865804,0.00006493514,0.0010428915,0.00016625381,0.0010524027,0.00015129577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040520172,0.0008813144,0.00015769213,0.022180973,0.0018742392,0.0004998435,0.0065131206,0.7612749,0.07703216,0.050630886,0.0003562021,0.07819346],"study_design_scores_gemma":[0.0129530495,0.0008410127,0.003080764,0.0111755105,0.0015311014,0.000091435744,0.02551518,0.31673515,0.17247984,0.43760225,0.005401952,0.012592765],"about_ca_topic_score_codex":0.000119199794,"about_ca_topic_score_gemma":0.0018643019,"teacher_disagreement_score":0.44453976,"about_ca_system_score_codex":0.00085340696,"about_ca_system_score_gemma":0.000023066921,"threshold_uncertainty_score":0.99930876},"labels":[],"label_agreement":null},{"id":"W7022214876","doi":"","title":"Book Reviews","year":2014,"lang":"en","type":"other","venue":"DigitalCommons - WayneState (Wayne State University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Poetry; State (computer science); White (mutation); Performance art; Brother; Uncanny; Wright; Litany","score_opus":0.008668258395222181,"score_gpt":0.1850236046130494,"score_spread":0.17635534621782722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7022214876","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000025138743,0.008682687,0.10684257,0.000016919323,0.00057789526,0.0008425333,0.00042691224,0.002321562,0.8802864],"genre_scores_gemma":[0.0001002639,0.026438454,0.0012093476,0.00009333263,0.00013771899,0.0000070391375,0.00069583586,0.0010492107,0.9702688],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980686,0.000094820665,0.00045700604,0.000557568,0.00017398628,0.0006480305],"domain_scores_gemma":[0.9983446,0.000060889055,0.00030413867,0.0009561239,0.000051457362,0.00028279176],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009385533,0.0007685574,0.0009671217,0.0011351719,0.000078530866,0.00008785894,0.0005975272,0.00029516866,0.00073738873],"category_scores_gemma":[0.000024979166,0.00088350376,0.00024837925,0.0006997645,0.00013444589,0.0005153527,0.00013857982,0.0003762055,0.0018252643],"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":[0.0000074831187,0.000023196182,0.000013513822,0.0006437254,0.00012256938,0.000120448254,0.000057150774,0.009512928,0.000010068612,0.0005044188,0.9831376,0.0058468822],"study_design_scores_gemma":[0.00049095484,0.000033176406,0.0000016456758,0.00057251565,0.00006327133,0.0000100206935,0.00002928657,0.0010065888,0.000024603927,0.000026728729,0.99684,0.0009011963],"about_ca_topic_score_codex":0.000040896677,"about_ca_topic_score_gemma":0.00016763451,"teacher_disagreement_score":0.10563322,"about_ca_system_score_codex":0.000308555,"about_ca_system_score_gemma":0.000037382582,"threshold_uncertainty_score":0.9993616},"labels":[],"label_agreement":null},{"id":"W7024643379","doi":"","title":"«Santé mentale» et vieillissement: récits de pratiques, recherches: manuel de formation 2","year":2023,"lang":"fr","type":"other","venue":"R-libre (Université Téluq)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Service (business); Personalism; Perspective (graphical); Cultural environment","score_opus":0.020120776561884473,"score_gpt":0.24794849154749304,"score_spread":0.22782771498560858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024643379","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024715338,0.002386424,0.775505,0.0007579809,0.0007513618,0.0013310461,0.00021289833,0.0021295932,0.21445414],"genre_scores_gemma":[0.013237146,0.01679157,0.10179546,0.00028563256,0.00054892345,0.00009749383,0.00089167256,0.0022681963,0.8640839],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99777097,0.00035171813,0.0004068261,0.00047809002,0.00025352166,0.00073887827],"domain_scores_gemma":[0.9986315,0.00019644921,0.0003534794,0.0004895205,0.000082808256,0.000246261],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005199319,0.00059813913,0.0005105111,0.00028615832,0.0001707653,0.000100292855,0.0004507323,0.0009172447,0.0011501582],"category_scores_gemma":[0.00007991775,0.0008064287,0.00018058003,0.00068208645,0.000051234714,0.0014657271,0.00016952485,0.00062464015,0.0008845003],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089315625,0.00019145207,0.0002614319,0.004495812,0.0010167753,0.0004765073,0.039012454,0.37221473,0.008767755,0.020205745,0.054977603,0.49829042],"study_design_scores_gemma":[0.002250787,0.00019223255,0.004542481,0.004796197,0.00046320222,0.000185404,0.0055959024,0.23887248,0.003445656,0.0012961822,0.7363977,0.0019618059],"about_ca_topic_score_codex":0.00054416043,"about_ca_topic_score_gemma":0.002049365,"teacher_disagreement_score":0.6814201,"about_ca_system_score_codex":0.0049902652,"about_ca_system_score_gemma":0.00023774858,"threshold_uncertainty_score":0.9998934},"labels":[],"label_agreement":null},{"id":"W7024671197","doi":"","title":"Simulation of non-homogeneous wind processes, comparison between numerical and experimental model of a bridge","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aeroelasticity; Wind speed; Aerodynamics; Finite element method; Time domain; Frequency domain; Spectral density; Aerodynamic force; Wind tunnel","score_opus":0.07374845969703187,"score_gpt":0.3141355115609452,"score_spread":0.24038705186391335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7024671197","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":[0.76691204,0.00013840027,0.23251733,0.0000018996265,0.000039837538,0.00022877537,0.00007286304,0.000068313246,0.000020555031],"genre_scores_gemma":[0.9994953,0.0000045226525,0.00031698533,0.000004201371,0.000018953675,0.0000014897905,0.00004213522,0.000042377706,0.00007399168],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989397,0.00006381879,0.00031947368,0.00025007248,0.00023719562,0.00018977148],"domain_scores_gemma":[0.9993396,0.00008315099,0.0001832675,0.00021491233,0.00008787903,0.0000912209],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009839796,0.00018460673,0.0003691279,0.00025955538,0.00010592689,0.000018683051,0.00024926895,0.000074369,0.0000051523652],"category_scores_gemma":[0.000013233885,0.00024890673,0.00004517462,0.00039843115,0.000047264148,0.00058108964,0.00020994857,0.00022483143,0.000001455972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003362701,0.000039190414,0.3462812,0.00011821364,0.000027512204,0.0000043831865,0.0006884305,0.6495882,0.0031475294,0.0000013367446,4.97127e-8,0.00007031086],"study_design_scores_gemma":[0.0061027743,0.0011740371,0.3646054,0.00040710368,0.0003807853,0.00003619986,0.0022994624,0.4768567,0.1461265,0.000052195395,0.00013118809,0.0018276416],"about_ca_topic_score_codex":0.000002326468,"about_ca_topic_score_gemma":0.000013280105,"teacher_disagreement_score":0.23258333,"about_ca_system_score_codex":0.00017826293,"about_ca_system_score_gemma":0.000043111228,"threshold_uncertainty_score":0.9999963},"labels":[],"label_agreement":null},{"id":"W7025250492","doi":"","title":"Transboundary fish stocks and their management under climate change","year":2021,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fish stock; Climate change; Fishing; Distribution (mathematics); Sustainability; Fisheries management; Exclusive economic zone; International waters","score_opus":0.00861733900252915,"score_gpt":0.16266084261511707,"score_spread":0.15404350361258792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7025250492","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012760063,0.017430233,0.18113227,0.00008509986,0.0016827298,0.0030590037,0.0041929013,0.0019659833,0.7776917],"genre_scores_gemma":[0.6096168,0.07686149,0.01356279,0.00023452667,0.000586788,0.000027058724,0.001669418,0.0019936266,0.29544747],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99928427,0.0000201937,0.000087223816,0.00030971336,0.00008721783,0.0002113811],"domain_scores_gemma":[0.99959654,0.000007916787,0.00006217888,0.00024131464,0.00002625513,0.00006580466],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004150985,0.00008245155,0.00032770727,0.00007475776,0.000074690404,0.000058712245,0.00014101673,0.00020375541,0.00043277457],"category_scores_gemma":[6.1561144e-7,0.00030491,0.00007036164,0.00015150027,0.00008996453,0.000106704065,0.000073152725,0.000115090596,0.0000038186363],"study_design_candidate":"design_other","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":[0.0000035631642,0.000060621816,0.00028883084,0.005241534,0.00050541316,0.00032989882,0.00049351767,0.00082885876,0.000024228606,0.000008208796,0.081644155,0.91057116],"study_design_scores_gemma":[0.0069377394,0.00014800689,0.69445133,0.019279925,0.00061183405,0.0003730215,0.018059047,0.008710374,0.0000012126911,0.0003763291,0.24731559,0.0037356124],"about_ca_topic_score_codex":0.0069045858,"about_ca_topic_score_gemma":0.21568161,"teacher_disagreement_score":0.90683556,"about_ca_system_score_codex":0.00006553769,"about_ca_system_score_gemma":0.000007161672,"threshold_uncertainty_score":0.9999403},"labels":[],"label_agreement":null},{"id":"W7034654494","doi":"","title":"Viral Times : Reflections on the COVID-19 and HIV Pandemics","year":2024,"lang":"en","type":"book","venue":"BiblioBoard Library Catalog (Open Research Library)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Allergy and Infectious Diseases; Department for International Development; Economic and Social Research Council; World Health Organization; University of Melbourne; Coalition for Epidemic Preparedness Innovations; U.S. President’s Emergency Plan for AIDS Relief; International AIDS Society; GAVI Alliance","keywords":"Nucleofection; TSG101; Circumstantial evidence; Gestational period; Gloom; Fusible alloy","score_opus":0.10185163611031228,"score_gpt":0.3545724028270988,"score_spread":0.2527207667167865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034654494","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000016372334,0.0077773007,0.0009339971,0.011875558,0.00061014114,0.00309231,0.0017682847,0.0023544852,0.97157156],"genre_scores_gemma":[0.00026067588,0.011696879,0.002099289,0.002211783,0.0010569895,0.0007431241,0.004679759,0.00077239156,0.9764791],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9958181,0.00049815886,0.00074626337,0.0011568994,0.00079368893,0.0009868857],"domain_scores_gemma":[0.9956741,0.0018438604,0.00011270825,0.001551799,0.000043764903,0.0007738104],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007406293,0.0007561755,0.00071322196,0.006848778,0.00067298353,0.0036056112,0.0025841855,0.00077335245,0.0015264256],"category_scores_gemma":[0.00021348271,0.000593328,0.00017823727,0.0057170754,0.00057785184,0.006724539,0.0028224632,0.00309787,0.0014582184],"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":[0.000065272674,0.000017733315,0.00002548647,0.0006525708,0.00015605941,0.00012094707,0.00016485671,0.0019659367,0.000018304507,0.12464452,0.87188756,0.00028073764],"study_design_scores_gemma":[0.00030302472,0.0001457748,0.000004471701,0.00042326367,0.000030340538,0.00004730187,0.00007464846,0.0016047497,0.00017370138,0.06456222,0.9320175,0.00061297615],"about_ca_topic_score_codex":0.000017528086,"about_ca_topic_score_gemma":0.000009273344,"teacher_disagreement_score":0.060129955,"about_ca_system_score_codex":0.00023334003,"about_ca_system_score_gemma":0.0019192515,"threshold_uncertainty_score":0.9996518},"labels":[],"label_agreement":null},{"id":"W7100366824","doi":"","title":"Author manuscript, published in &amp;quot;International Conference on Game Theory for Networks (Gamenets), Vancouver: Canada (2012)&amp;quot; Achievability of Efficient Satisfaction Equilibria in Self-Configuring Networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Convergence (economics); Game theory; Best response; Power control; Set (abstract data type); Property (philosophy); Relevance (law); Quality of service; Control (management)","score_opus":0.014470580491151342,"score_gpt":0.22823575365272847,"score_spread":0.21376517316157712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7100366824","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":[0.21168403,0.00010200452,0.77898514,0.000103668295,0.0041182428,0.0017459097,0.000027264905,0.00024285667,0.002990882],"genre_scores_gemma":[0.99244416,0.000017210397,0.005727079,0.000044314787,0.00014314549,0.00033381706,0.00008974802,0.0000631308,0.0011374071],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973311,0.00014205437,0.0010878266,0.0005186421,0.00031066098,0.00060971465],"domain_scores_gemma":[0.9985096,0.00034973427,0.00023678842,0.0005283094,0.00023959408,0.0001359775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00079643115,0.00036373665,0.0004869658,0.000256496,0.00003752159,0.000095040064,0.0003044266,0.00024109254,0.0005505407],"category_scores_gemma":[0.0001836485,0.00037252472,0.0000735069,0.0003269395,0.000036800586,0.00058996957,0.00006209858,0.00039693687,0.0000042805614],"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":[0.00007409565,0.00005533633,0.0037735077,0.00008181787,0.000040388928,5.352391e-7,0.0001694425,0.9869629,0.00045913368,0.0015504956,0.004145289,0.00268704],"study_design_scores_gemma":[0.0009871679,0.00002549388,0.011408422,0.00012652103,0.0000096385575,0.0000015280634,0.00016235322,0.9853951,0.00010770929,0.00053012924,0.0008906042,0.00035536409],"about_ca_topic_score_codex":0.03602882,"about_ca_topic_score_gemma":0.5969596,"teacher_disagreement_score":0.7807601,"about_ca_system_score_codex":0.0012376469,"about_ca_system_score_gemma":0.00012982363,"threshold_uncertainty_score":0.9998727},"labels":[],"label_agreement":null},{"id":"W7105854389","doi":"10.1109/twc.2025.3630565","title":"Multi-User Detection Under Correlated Noise With Dense Large-Scale Antenna Arrays and Low-Resolution ADCs","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oversampling; Telecommunications link; Noise (video); MIMO; Context (archaeology); Antenna (radio); Reduction (mathematics); Communications system; Noise power; Spatial multiplexing","score_opus":0.012110678397040718,"score_gpt":0.23958623834615803,"score_spread":0.2274755599491173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7105854389","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":[0.016608328,0.0013204488,0.9779616,0.00042174768,0.0009689456,0.0015658254,0.00021023999,0.0007126008,0.00023025558],"genre_scores_gemma":[0.9655107,0.0071996255,0.024908971,0.00009002896,0.000020997051,0.00049681775,0.00005411973,0.0001590184,0.0015596859],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99695206,0.00041192418,0.000985269,0.0007147049,0.0002570255,0.0006790149],"domain_scores_gemma":[0.9958613,0.00042318998,0.00026756898,0.0027041463,0.0005145625,0.0002292601],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00029300124,0.00068757555,0.00061415765,0.0008024894,0.0019323608,0.00017182746,0.0006355993,0.00060613145,0.000029407907],"category_scores_gemma":[0.000012039435,0.0007831951,0.0001682829,0.0019468627,0.00044413368,0.00077014434,0.000019862926,0.0015164757,0.000054580083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002269336,0.0010951696,0.000050960945,0.0002539969,0.0004353601,0.0000019013942,0.0014764483,0.9508066,0.03857474,0.00022627923,0.000013569117,0.00683805],"study_design_scores_gemma":[0.0034007085,0.00012669002,0.000472893,0.0014733243,0.0005416502,0.000032616434,0.0021288118,0.981006,0.009719884,0.000019730114,0.0003678172,0.00070984144],"about_ca_topic_score_codex":0.00019412438,"about_ca_topic_score_gemma":0.0067668036,"teacher_disagreement_score":0.95305264,"about_ca_system_score_codex":0.00073623954,"about_ca_system_score_gemma":0.00015941725,"threshold_uncertainty_score":0.9994619},"labels":[],"label_agreement":null},{"id":"W7110367774","doi":"10.1109/ap-s/cnc-usnc-ursi55537.2025.11266785","title":"Quantum Machine Learning for Optimal Antenna Placement","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Antenna (radio); Cluster analysis; Quantum; Set (abstract data type); Graph; Population; Base station; Property (philosophy); Quantum graph","score_opus":0.01076812610668237,"score_gpt":0.25365203854649565,"score_spread":0.24288391243981328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7110367774","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":[0.0004674379,0.003647619,0.9855624,0.00022282354,0.0017746447,0.0013790292,0.000019863399,0.0004633689,0.0064628497],"genre_scores_gemma":[0.8585977,0.00062366575,0.0968818,0.000074526004,0.00016453631,0.00023376678,0.00010951447,0.000118928176,0.043195583],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980176,0.000044949687,0.00073660555,0.00046850878,0.00012493295,0.00060737866],"domain_scores_gemma":[0.99911183,0.00021196004,0.00010965735,0.00031043473,0.00016395147,0.00009219321],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032551037,0.00040325287,0.00045994742,0.00028159888,0.0002679972,0.00009471031,0.00019419097,0.00018842393,0.00027513644],"category_scores_gemma":[0.00020754337,0.00044160598,0.00015328253,0.0004206381,0.000029635417,0.0002624488,0.00010089093,0.0003108476,0.000045289904],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116281226,0.000044874258,0.00019815864,0.00070827454,0.00018991466,0.0000017216881,0.00020087603,0.9793879,0.00373742,0.0129667595,0.0006228842,0.0018249428],"study_design_scores_gemma":[0.0017104796,0.0001653105,0.000011949907,0.00033370516,0.00008735548,0.0000025258248,0.000600704,0.977668,0.0018029095,0.0000860333,0.017144395,0.00038664162],"about_ca_topic_score_codex":0.00003524234,"about_ca_topic_score_gemma":0.000016208513,"teacher_disagreement_score":0.8886806,"about_ca_system_score_codex":0.00032082497,"about_ca_system_score_gemma":0.00005954113,"threshold_uncertainty_score":0.99980354},"labels":[],"label_agreement":null},{"id":"W7115702750","doi":"10.1109/ojcoms.2025.3645207","title":"Quantum-Enhanced Massive MIMO Beamforming for 6G IoT Networks: A QAOA-Based Optimization Framework","year":2025,"lang":"","type":"article","venue":"IEEE Open Journal of the Communications Society","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"MIMO; Heuristics; Beamforming; Channel (broadcasting); Optimization problem; Wireless; Efficient energy use; Throughput; Transmitter power output","score_opus":0.028706680095576313,"score_gpt":0.31947511994977484,"score_spread":0.29076843985419853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115702750","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":[0.00014734043,0.0053996327,0.98195404,0.006407397,0.002883853,0.0026736362,0.000040656534,0.00004431503,0.00044912513],"genre_scores_gemma":[0.2932604,0.0031187437,0.7021498,0.0006402749,0.00021791711,0.00019165901,0.000018196657,0.00009903142,0.00030394684],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962974,0.00050357316,0.0020493765,0.00030591685,0.00029887568,0.00054485165],"domain_scores_gemma":[0.99067837,0.0021990065,0.0022081498,0.00311482,0.0016584683,0.00014116707],"candidate_categories":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.0018703974,0.00048794865,0.00088109914,0.00014002512,0.0019347297,0.000583533,0.00666984,0.00054465636,0.000026197547],"category_scores_gemma":[0.000790476,0.00044552318,0.0010398641,0.0017797387,0.0003313394,0.0008403268,0.00077287696,0.0015749133,0.0000022032173],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008919448,0.00018074508,0.000018918106,0.0001882674,0.00065325253,1.383321e-7,0.0014323306,0.98881084,0.0005465076,0.0022689984,0.0046947505,0.0011160654],"study_design_scores_gemma":[0.0019234496,0.00008775594,0.000006876758,0.004738728,0.00054830255,0.0000049207747,0.002062676,0.9833512,0.0017477322,0.0020313656,0.0031026166,0.0003944022],"about_ca_topic_score_codex":0.000016726774,"about_ca_topic_score_gemma":0.000014462299,"teacher_disagreement_score":0.29311305,"about_ca_system_score_codex":0.0012428489,"about_ca_system_score_gemma":0.0008337983,"threshold_uncertainty_score":0.99979967},"labels":[],"label_agreement":null},{"id":"W7116763452","doi":"10.18280/mmep.121109","title":"Dynamic Cellular-Wi-Fi Offloading Strategy Inspired by Cloud Load Balancer Mechanism","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Mechanism (biology); Fuzzy logic; Scheduling (production processes); Load balancing (electrical power)","score_opus":0.010042432046259596,"score_gpt":0.20567919804621973,"score_spread":0.19563676599996013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116763452","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":[0.0068099047,0.010672752,0.97813296,0.000067980465,0.0009841461,0.0009463321,0.000043395357,0.0008394645,0.0015030821],"genre_scores_gemma":[0.92936814,0.0015123197,0.06668986,0.000015829515,0.000083930834,0.00017026279,0.000036122,0.0002342627,0.0018892678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99616826,0.000039676957,0.0014384054,0.00085818843,0.00039148855,0.0011039553],"domain_scores_gemma":[0.9985648,0.00022792847,0.00015153378,0.000606334,0.00014124412,0.0003081577],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006372971,0.0009265087,0.0010835471,0.00027248793,0.0002205408,0.00032623025,0.00033914595,0.00062960054,0.00004678881],"category_scores_gemma":[0.000073209,0.001034485,0.00016499928,0.00061140105,0.00006102767,0.0003724752,0.00013651398,0.00082316087,0.000054957523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008469354,0.00007705601,8.059534e-7,0.0068354188,0.00020964729,0.0000049200935,0.0006598542,0.93983364,0.01808699,0.03361581,0.000076983204,0.00059039716],"study_design_scores_gemma":[0.0007576641,0.000051021136,1.396409e-7,0.0037337884,0.00016939077,0.000010280628,0.000085124564,0.961472,0.002593059,0.02989574,0.0003578027,0.00087403524],"about_ca_topic_score_codex":0.000022413178,"about_ca_topic_score_gemma":0.0000013079308,"teacher_disagreement_score":0.92255825,"about_ca_system_score_codex":0.00058384857,"about_ca_system_score_gemma":0.00007753594,"threshold_uncertainty_score":0.99921054},"labels":[],"label_agreement":null},{"id":"W7116938253","doi":"10.1109/wcnps69127.2025.11295884","title":"Downlink Performance Comparison of Cell-Free Massive MIMO and Cellular Massive MIMO Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Telecommunications link; MIMO; Spectral efficiency; Interference (communication); Quality of service; Leverage (statistics); Multi-user MIMO; User equipment; Cellular network; Key (lock)","score_opus":0.008567869104620967,"score_gpt":0.2246030137091823,"score_spread":0.21603514460456133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116938253","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":[0.07446213,0.025423555,0.85730624,0.0001705328,0.0035126237,0.0024113108,0.00011586862,0.00029449037,0.03630325],"genre_scores_gemma":[0.9787398,0.0010731989,0.014482791,0.0000141359615,0.00015322882,0.000094236544,0.000046992387,0.00009678864,0.0052988436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995857,0.00014647009,0.0020217649,0.00080372614,0.0004030298,0.0007679917],"domain_scores_gemma":[0.99696785,0.00029778839,0.0006746209,0.0013430088,0.0004975625,0.00021919575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031008336,0.00078430003,0.0014810142,0.00055953994,0.0002466139,0.00013939853,0.0006450661,0.0005986259,0.00009215591],"category_scores_gemma":[0.000097820746,0.0008351047,0.00015841433,0.00092320534,0.00020819782,0.00057866983,0.00039700718,0.00058327214,0.00004404877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072419396,0.00014789516,0.002852024,0.009125983,0.00026604242,0.0000080846785,0.0011139172,0.93523324,0.04360599,0.0042628315,0.0018479107,0.0014636954],"study_design_scores_gemma":[0.0016743271,0.0001768722,0.00008211737,0.0015176166,0.0002443275,0.0000023899167,0.0039614923,0.8111493,0.17963786,0.00006182963,0.00085727737,0.00063459994],"about_ca_topic_score_codex":0.00013158093,"about_ca_topic_score_gemma":0.00001636679,"teacher_disagreement_score":0.9042777,"about_ca_system_score_codex":0.00035905544,"about_ca_system_score_gemma":0.00012985461,"threshold_uncertainty_score":0.99941},"labels":[],"label_agreement":null},{"id":"W7116951869","doi":"10.1109/tgcn.2025.3647528","title":"Energy-Efficient 5G Integrated Access and Backhaul Open RAN-Based Fixed Wireless Access Provisioning in Rural Areas","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Green Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Backhaul (telecommunications); Provisioning; Cloud computing; Interoperability; Renewable energy; Wireless; Energy consumption; Internet access; Radio access network","score_opus":0.03032981126494539,"score_gpt":0.3030890025759554,"score_spread":0.27275919131101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116951869","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":[0.007222058,0.0046022185,0.9832274,0.0007851423,0.0007005131,0.0014778228,0.000063409396,0.00016148748,0.0017599756],"genre_scores_gemma":[0.9895652,0.0066428008,0.002575965,0.00018398745,0.000037570713,0.0005702834,0.00007220502,0.00008569815,0.00026630863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99702126,0.0005122905,0.0011070519,0.00061393203,0.00018045698,0.0005649845],"domain_scores_gemma":[0.9966918,0.001043164,0.0002732416,0.0016183701,0.0002077512,0.00016565886],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005750988,0.0005729418,0.00071797066,0.00085146085,0.001138985,0.0012805907,0.0021231256,0.00033328732,0.000021614891],"category_scores_gemma":[0.0000030928145,0.00063953333,0.000096752,0.0025213063,0.00027059467,0.0009340561,0.000120193836,0.0009646015,0.0000011044912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013585234,0.00021986265,0.00048837863,0.00012559775,0.00009808629,0.0000018086586,0.00027505244,0.5349423,0.00011317738,0.00010531301,0.00002047139,0.46347404],"study_design_scores_gemma":[0.0022453957,0.000054818564,0.00014226501,0.0047326954,0.0001330913,0.0000049185765,0.00038344972,0.9900227,0.0006121646,0.0001151586,0.0009979884,0.0005553203],"about_ca_topic_score_codex":0.0043442952,"about_ca_topic_score_gemma":0.008115369,"teacher_disagreement_score":0.98234314,"about_ca_system_score_codex":0.00040641637,"about_ca_system_score_gemma":0.00021526446,"threshold_uncertainty_score":0.99975616},"labels":[],"label_agreement":null},{"id":"W7116988795","doi":"10.1109/fcn66513.2025.11296699","title":"Hybrid Deep Reinforcement Learning Empowered Mobility Management for Uplink FD-RAN","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Telecommunications link; Reinforcement learning; Mobility management; Quality of service; Power control; Base station; Handover; Cellular network; Radio access technology","score_opus":0.007705149562325096,"score_gpt":0.2465031842398309,"score_spread":0.2387980346775058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116988795","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":[0.00026265738,0.00081130135,0.91029507,0.00014340368,0.0014374093,0.0041027875,0.0000028337827,0.0005708048,0.08237371],"genre_scores_gemma":[0.87072086,0.00045895827,0.08592899,0.00008136324,0.00009145554,0.00077331654,0.00012597266,0.00009373344,0.041725345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967782,0.000051504325,0.0013291308,0.000805414,0.000214543,0.00082123204],"domain_scores_gemma":[0.9984446,0.00019579756,0.00018669516,0.0008118373,0.00021909192,0.00014196832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006181597,0.0005624488,0.0005960706,0.00034254286,0.0003805062,0.00013713821,0.00034775722,0.0001614782,0.00045531854],"category_scores_gemma":[0.00010986672,0.0006589814,0.00026944882,0.00041101698,0.000046730387,0.00036587022,0.00024119909,0.00032364408,0.000070839895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097715936,0.00006017413,0.00006454268,0.0024741713,0.0004419151,0.0000036311587,0.00020987663,0.95473164,0.00014846792,0.015888803,0.0005656704,0.025313389],"study_design_scores_gemma":[0.002222376,0.00011939716,0.000038086062,0.00037325322,0.0001967029,0.0000012888765,0.00066683063,0.9769897,0.002743054,0.0014616284,0.014629416,0.0005582844],"about_ca_topic_score_codex":0.000023732346,"about_ca_topic_score_gemma":0.000010277865,"teacher_disagreement_score":0.8704582,"about_ca_system_score_codex":0.0009457986,"about_ca_system_score_gemma":0.000038949544,"threshold_uncertainty_score":0.99958616},"labels":[],"label_agreement":null},{"id":"W7117140241","doi":"10.1109/tccn.2025.3647822","title":"Deep Learning Optimization of Two-State Pinching Antennas Systems","year":2025,"lang":"","type":"article","venue":"IEEE Transactions on Cognitive Communications and Networking","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Robustness (evolution); Wireless; Deep learning; Pipeline (software); Quadratic programming; Artificial neural network; Quadratic equation; Software deployment; Binary number; Optimization problem","score_opus":0.019873145396913833,"score_gpt":0.2720904603447505,"score_spread":0.25221731494783667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117140241","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":[0.0005810623,0.030505762,0.9623977,0.00004540592,0.0014327604,0.0010305413,0.00003407309,0.0002218789,0.0037508467],"genre_scores_gemma":[0.9155313,0.073921174,0.009837295,0.000025530513,0.000057471585,0.00017665075,0.000040185656,0.00008724505,0.00032317295],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970227,0.0006859214,0.0011762243,0.00047207912,0.00018206735,0.00046104196],"domain_scores_gemma":[0.99641955,0.0016000618,0.00045272353,0.00079668814,0.00062138296,0.00010957942],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005661706,0.0004781692,0.0006549192,0.000721929,0.0013562362,0.00018977866,0.00040651154,0.00020572224,0.0000135331065],"category_scores_gemma":[0.00002256989,0.0005991911,0.00015216923,0.0014732592,0.00032376815,0.0004684566,0.000024086723,0.0011018645,0.0000043521613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054818127,0.0001228612,0.00009537011,0.00032182343,0.00038879534,9.329346e-7,0.0010081056,0.8587443,0.00018623509,0.00017341932,0.0000011254881,0.13890219],"study_design_scores_gemma":[0.0013894633,0.0001109086,0.000012302266,0.006760366,0.00042917774,0.000009938009,0.0018999726,0.98834705,0.00036337823,0.00005879009,0.00018727736,0.00043138],"about_ca_topic_score_codex":0.00013310679,"about_ca_topic_score_gemma":0.00014850574,"teacher_disagreement_score":0.95256037,"about_ca_system_score_codex":0.00020601874,"about_ca_system_score_gemma":0.000064948115,"threshold_uncertainty_score":0.99994385},"labels":[],"label_agreement":null},{"id":"W7117291809","doi":"10.1109/wd67713.2025.11302649","title":"Optimizing Downlink Control Resources Allocation for Internet-of-Things in Future Cellular Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telecommunications link; Control channel; Heuristics; Cellular network; Scheduling (production processes); Heuristic; User equipment; Base station; Probabilistic logic; Resource allocation","score_opus":0.004418805447002656,"score_gpt":0.2107305168021348,"score_spread":0.20631171135513215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117291809","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":[0.00074427505,0.011396023,0.98072445,0.00034490752,0.0020891624,0.0019627512,0.0000036019562,0.00015664112,0.0025781689],"genre_scores_gemma":[0.87740475,0.00032954125,0.12010993,0.00013965013,0.00034845254,0.00017516123,0.0000445987,0.000068740206,0.0013791987],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973964,0.00009101765,0.0013571283,0.00050895696,0.00012862861,0.00051784725],"domain_scores_gemma":[0.9986179,0.0003537303,0.0003000341,0.00040440043,0.00025480374,0.00006916547],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00063241366,0.00041687652,0.0007176468,0.00047903732,0.00006445829,0.00008224734,0.0003556178,0.0005642587,0.000035644265],"category_scores_gemma":[0.00010889039,0.00046406273,0.00018332095,0.00071055896,0.000047108257,0.00053225475,0.0000641603,0.00040765674,0.0000022321613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016766648,0.00004226056,0.000146787,0.0007690617,0.00014593542,0.0000012253894,0.0024800466,0.9707135,0.0021323208,0.009969833,0.00021064041,0.013220709],"study_design_scores_gemma":[0.00274575,0.00006501607,0.00001683176,0.0010978433,0.00010290283,5.826693e-7,0.0010280471,0.9878204,0.0035679431,0.00018869105,0.0030177152,0.0003483113],"about_ca_topic_score_codex":0.00011147919,"about_ca_topic_score_gemma":0.000042202675,"teacher_disagreement_score":0.87666047,"about_ca_system_score_codex":0.00032225804,"about_ca_system_score_gemma":0.00004180472,"threshold_uncertainty_score":0.99978113},"labels":[],"label_agreement":null},{"id":"W7117339376","doi":"","title":"Learning-Enabled Elastic Network Topology for Distributed ISAC Service Provisioning","year":2025,"lang":"","type":"article","venue":"ArXiv.org","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Provisioning; Overhead (engineering); Network topology; Service (business); Utility maximization; Topology (electrical circuits); Resource allocation; Protocol (science)","score_opus":0.011470353355336454,"score_gpt":0.24690837783455438,"score_spread":0.23543802447921794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117339376","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":[0.09449814,0.0017871276,0.8963978,0.0006844229,0.003592801,0.0016360597,0.000031434934,0.0005911371,0.0007810179],"genre_scores_gemma":[0.98814785,0.00013614146,0.006560642,0.0002366853,0.0007355046,0.00032876388,0.0003479252,0.00014034772,0.0033661127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99661064,0.00017027174,0.0010495194,0.0008032322,0.00013310886,0.0012332],"domain_scores_gemma":[0.99751085,0.00091321784,0.00031362698,0.0005898442,0.0005115901,0.00016089516],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000429744,0.00058131915,0.00079320016,0.00017265326,0.00073875324,0.00008941951,0.00040760345,0.00052843423,0.000116418676],"category_scores_gemma":[0.0011132727,0.00067875476,0.00016537732,0.0016096523,0.00006456648,0.00038794673,0.00022905161,0.0007206039,0.00015037874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011888008,0.00004119695,0.054388925,0.0010422822,0.00024183198,0.0000056493723,0.00027733878,0.94012517,0.0008808582,0.0010832038,0.0010185293,0.00077615236],"study_design_scores_gemma":[0.0025818709,0.00028666054,0.00887521,0.0013352293,0.00037489075,0.000007778568,0.00062065123,0.9560366,0.00078027265,0.0005923357,0.027690833,0.0008176661],"about_ca_topic_score_codex":0.000056504992,"about_ca_topic_score_gemma":0.000078738514,"teacher_disagreement_score":0.89364976,"about_ca_system_score_codex":0.00044593637,"about_ca_system_score_gemma":0.00017996256,"threshold_uncertainty_score":0.9995664},"labels":[],"label_agreement":null},{"id":"W7118310151","doi":"10.1109/vtc2025-fall65116.2025.11310213","title":"Generalizable Deep Reinforcement Learning-Based Intelligent Handover in Indoor WiGig Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"National Institute of Information and Communications Technology; National Science Foundation","keywords":"Reinforcement learning; Handover; Scalability; Convergence (economics); Generalization; Grid; Software deployment; Channel (broadcasting)","score_opus":0.007512141018295674,"score_gpt":0.22843748693100885,"score_spread":0.22092534591271318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7118310151","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":[0.00023935133,0.0039907494,0.97307473,0.00007406888,0.0016522941,0.0012282936,4.3016115e-7,0.0002708525,0.019469233],"genre_scores_gemma":[0.9702868,0.0009704433,0.0082263155,0.0003423789,0.00013563268,0.00018373491,0.000074223375,0.00009217191,0.0196883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99684644,0.00013078861,0.001333214,0.0005730721,0.00023062281,0.0008858354],"domain_scores_gemma":[0.9988726,0.0001412687,0.00017156394,0.0005284271,0.00014508175,0.00014109472],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004225924,0.000554882,0.00062704406,0.0005997597,0.00014798228,0.0001503384,0.00028587916,0.00040818434,0.0010389881],"category_scores_gemma":[0.00011967298,0.00061802805,0.00014869875,0.0014259052,0.000048480462,0.00031810853,0.00013429312,0.00066925737,0.00007957453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009496981,0.00005594344,0.0029986808,0.0002926659,0.00009605676,0.000009668499,0.00017152439,0.99083173,0.00005603418,0.0018732476,0.0005299137,0.002989559],"study_design_scores_gemma":[0.0020806484,0.00008360886,0.000042149975,0.0006260366,0.000044067292,7.9147406e-7,0.00015381972,0.9846736,0.0034564717,0.000044962882,0.008260391,0.0005334552],"about_ca_topic_score_codex":0.00034864366,"about_ca_topic_score_gemma":0.0005010942,"teacher_disagreement_score":0.9700475,"about_ca_system_score_codex":0.0011787681,"about_ca_system_score_gemma":0.00012255607,"threshold_uncertainty_score":0.9998742},"labels":[],"label_agreement":null},{"id":"W7123655026","doi":"10.1109/iscc65549.2025.11325806","title":"Bi-Level Traffic Steering Decision in High-Mobile and Ultra-Dense Multi-RAT Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Reinforcement learning; Network packet; Cellular network; Internet of Things; Packet loss","score_opus":0.011043472665072183,"score_gpt":0.24197953355526847,"score_spread":0.23093606089019628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7123655026","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":[0.14277473,0.0067321924,0.8464486,0.000015197492,0.002256842,0.0011906119,0.0000090655385,0.00028086704,0.00029187332],"genre_scores_gemma":[0.9211123,0.0028652644,0.07424994,0.000030848758,0.00008498735,0.000118142634,0.000013949583,0.000095665215,0.0014288889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971044,0.000081689424,0.0011522142,0.0007698038,0.00017367376,0.00071819156],"domain_scores_gemma":[0.9985181,0.0005724861,0.00010233944,0.000540487,0.00010241173,0.00016414863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000412505,0.00057178625,0.00068988715,0.0006061831,0.00014385683,0.00016979416,0.00022345257,0.0005306138,0.000069813934],"category_scores_gemma":[0.00014523402,0.0006295254,0.0000806318,0.0011907303,0.00006229635,0.00053594686,0.00009748089,0.00055920234,0.000018462091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005092261,0.00007390255,0.00046589065,0.00022028615,0.00003847999,0.00001997221,0.0003518314,0.9067159,0.0012306087,0.0002192614,0.000096569565,0.090516336],"study_design_scores_gemma":[0.003037687,0.000056733796,0.0015485076,0.0013785727,0.000038744693,0.000011069706,0.00056894973,0.9915934,0.0009248879,0.000020509971,0.00024886278,0.0005720424],"about_ca_topic_score_codex":0.00009582978,"about_ca_topic_score_gemma":0.0010816552,"teacher_disagreement_score":0.7783376,"about_ca_system_score_codex":0.00041067353,"about_ca_system_score_gemma":0.000047964837,"threshold_uncertainty_score":0.9996156},"labels":[],"label_agreement":null},{"id":"W7126401797","doi":"10.1007/978-3-032-09195-6_7","title":"Far-field Nulling Control Beamforming with Measured Element Patterns for MU-mMIMO","year":2025,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Beamforming; Transmission (telecommunications); Antenna (radio); Wireless; Directional antenna; Software deployment; Antenna array; Base station","score_opus":0.00704762199003073,"score_gpt":0.19588739675347167,"score_spread":0.18883977476344094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126401797","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":[0.0000065456734,0.0015575001,0.9693973,0.000022559927,0.0009309474,0.0016893691,0.00008658573,0.0004706348,0.025838567],"genre_scores_gemma":[0.77814025,0.0040129074,0.034186702,0.0010347406,0.0057881167,0.0026622165,0.001821368,0.0017858841,0.17056784],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981033,0.000010121436,0.0006447189,0.00046444885,0.00023222843,0.0005451797],"domain_scores_gemma":[0.9987739,0.00022792812,0.00023508762,0.00047255764,0.00018875863,0.000101790545],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017231601,0.0006200273,0.00078322063,0.00015500958,0.00013395364,0.000062878586,0.00025215224,0.00059145276,0.000034509987],"category_scores_gemma":[0.00000926335,0.0006229103,0.00017536209,0.000049371087,0.000017441296,0.00011917292,0.00003080002,0.0005535143,0.0000033336921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008262381,0.000005163309,0.00003915194,0.00045154925,0.0004039041,0.0000071084814,0.000037749163,0.95883346,0.000011054987,0.005634508,0.0009076896,0.033586014],"study_design_scores_gemma":[0.0016313896,0.00010612942,0.0000012160485,0.0027718407,0.0002783381,0.000005248143,0.000025350337,0.9568321,0.00008823126,0.00014077821,0.037301797,0.00081756024],"about_ca_topic_score_codex":0.000012282704,"about_ca_topic_score_gemma":0.0002920611,"teacher_disagreement_score":0.9352106,"about_ca_system_score_codex":0.00025418002,"about_ca_system_score_gemma":0.00004131333,"threshold_uncertainty_score":0.9996222},"labels":[],"label_agreement":null},{"id":"W7127137013","doi":"10.1007/978-3-032-09195-6_5","title":"Non-planar Antenna Array Structures for mMIMO","year":2025,"lang":"en","type":"book-chapter","venue":"Wireless networks","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":"McGill University","funders":"","keywords":"Antenna array; Antenna (radio); Collinear antenna array; Array gain; Circular buffer; Sensor array; MIMO; Array data structure","score_opus":0.006983023902721306,"score_gpt":0.2070060209805039,"score_spread":0.2000229970777826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127137013","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.457988e-7,0.0023399421,0.83294237,0.000011475432,0.0021706747,0.0006148114,0.00014133652,0.00038912325,0.16138935],"genre_scores_gemma":[0.03257356,0.004493809,0.027309712,0.0002722144,0.005290466,0.00031005414,0.0031133066,0.00095970824,0.9256772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861395,0.000004750099,0.0004597367,0.00041672107,0.00011589674,0.00038891225],"domain_scores_gemma":[0.99904436,0.000096871845,0.00013443515,0.00050094625,0.00014097682,0.00008239565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005240027,0.0005214806,0.00064009504,0.0001327575,0.00008938127,0.00004403462,0.00023908498,0.0007834525,0.000040135117],"category_scores_gemma":[0.000005786554,0.0005724559,0.00018126416,0.00005368338,0.0000349172,0.00007496382,0.00001989691,0.00047268163,0.000012607803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032389704,0.0000033245856,0.000003705077,0.0007471278,0.00032747045,0.000018817955,0.000037664748,0.895037,0.00021696292,0.04566528,0.04455716,0.013353122],"study_design_scores_gemma":[0.0008449226,0.000033395256,0.0000039821557,0.0015678639,0.00020975946,0.000018083558,0.000013065308,0.7930758,0.00023180855,0.012120554,0.1906015,0.001279255],"about_ca_topic_score_codex":0.0000022023435,"about_ca_topic_score_gemma":0.000043443004,"teacher_disagreement_score":0.80563265,"about_ca_system_score_codex":0.00013721191,"about_ca_system_score_gemma":0.000041082003,"threshold_uncertainty_score":0.9996727},"labels":[],"label_agreement":null},{"id":"W7127396478","doi":"10.1109/rivf68649.2025.11365028","title":"AI-Open-RAN for Non-Terrestrial Networks","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Testbed; Key (lock); Architecture; Network architecture; Data transmission; Transmission (telecommunications); Self-organizing network; Access network discovery and selection function; Next-generation network","score_opus":0.01228084577828374,"score_gpt":0.2774853411844433,"score_spread":0.26520449540615953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127396478","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":[0.00003906804,0.00048119022,0.9587347,0.00033241883,0.008900727,0.003395669,0.000013123521,0.00017661211,0.027926493],"genre_scores_gemma":[0.9173003,0.00019068603,0.05605262,0.00062212854,0.0015050942,0.00057236064,0.00009534512,0.00014046745,0.023521041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801356,0.000032648797,0.0007971961,0.0004888634,0.00007795808,0.00058979256],"domain_scores_gemma":[0.9988572,0.00028940898,0.000094471194,0.00055932574,0.00009209343,0.00010747488],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028287407,0.00037614728,0.00055173784,0.00015678906,0.00020778831,0.0003604019,0.0005801271,0.00036913092,0.000158083],"category_scores_gemma":[0.000090104884,0.0004189837,0.00015060512,0.0005353452,0.000030486122,0.0005878392,0.00020794611,0.00026745108,0.000027099553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001767995,0.000034467386,0.000025387404,0.0001596841,0.0001386689,0.0000012610144,0.00006791215,0.9497661,0.00007964052,0.006840808,0.032415465,0.010293809],"study_design_scores_gemma":[0.0040176576,0.00007213483,0.0000081420985,0.0003667552,0.00008938452,9.704279e-7,0.0000856541,0.9687191,0.00045124438,0.0007414686,0.02506856,0.00037892658],"about_ca_topic_score_codex":0.00006274091,"about_ca_topic_score_gemma":0.0000952301,"teacher_disagreement_score":0.9172612,"about_ca_system_score_codex":0.00021816442,"about_ca_system_score_gemma":0.000109080946,"threshold_uncertainty_score":0.9998262},"labels":[],"label_agreement":null},{"id":"W7127550824","doi":"","title":"Meta-Learning-Based Fronthaul Compression for Cloud Radio Access Networks","year":2025,"lang":"en","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Overhead (engineering); Gradient descent; Cloud computing; Radio access network; Convergence (economics); Remote radio head; Component (thermodynamics); Rate of convergence","score_opus":0.02849232166477557,"score_gpt":0.28259778409223385,"score_spread":0.2541054624274583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127550824","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":[0.0005678475,0.0018043312,0.990585,0.0011914171,0.00121975,0.0011765782,0.00027540707,0.0016658842,0.0015137495],"genre_scores_gemma":[0.84441274,0.00018177893,0.14378344,0.00021481657,0.00019378815,0.0021949098,0.007613608,0.000111522066,0.0012934156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821115,0.00003207523,0.000725243,0.00049310504,0.00015993156,0.00037847634],"domain_scores_gemma":[0.9979744,0.00008294901,0.00031549123,0.0010611144,0.0004899332,0.000076087796],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003384416,0.00032452133,0.00058100646,0.0009258903,0.00021256492,0.00008282713,0.0010044805,0.00037552995,0.000057061992],"category_scores_gemma":[0.000610735,0.0003210979,0.00014740149,0.0012960472,0.00019285207,0.0008565618,0.00025885183,0.00042020218,0.0000052390433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030710955,0.00007183307,0.00047852428,0.00027368893,0.00039669173,8.2630754e-7,0.000004455412,0.9548347,0.00025158227,0.008458766,0.031489,0.0037092469],"study_design_scores_gemma":[0.0008814885,0.000023702065,0.000050804556,0.00012441237,0.0003333156,7.6051066e-7,0.000012240868,0.75328887,0.006885393,0.000096531294,0.23806016,0.00024235154],"about_ca_topic_score_codex":0.000031927568,"about_ca_topic_score_gemma":0.00002740897,"teacher_disagreement_score":0.8468016,"about_ca_system_score_codex":0.00014140022,"about_ca_system_score_gemma":0.00008999415,"threshold_uncertainty_score":0.9999241},"labels":[],"label_agreement":null},{"id":"W7130528615","doi":"10.1109/ictc66702.2025.11387907","title":"Hierarchical Sparsity-Driven Optimization: A Deep Learning Framework for Antenna Thinning in 6G Massive MIMO Systems","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Antenna (radio); MIMO; Deep learning; Artificial neural network; Wireless; Reduction (mathematics); Efficient energy use; Energy (signal processing); Function (biology)","score_opus":0.011141911201631225,"score_gpt":0.2544286643995838,"score_spread":0.24328675319795257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7130528615","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":[0.00017213775,0.0038670234,0.98597246,0.0005977513,0.0027075384,0.0027822265,0.000013477461,0.00059272314,0.0032946824],"genre_scores_gemma":[0.45113462,0.00053714105,0.5457727,0.00008784868,0.00033916728,0.00033891396,0.000072981486,0.00014682114,0.0015698284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99559253,0.00033167485,0.0016163449,0.0010254537,0.00031013248,0.0011238339],"domain_scores_gemma":[0.99700844,0.0014426934,0.00035139584,0.00058731827,0.00040020872,0.00020994843],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005865792,0.0007209032,0.0011540466,0.0010089808,0.00049014745,0.00039349747,0.00050571153,0.0009792817,0.00009671294],"category_scores_gemma":[0.0014887968,0.0008517157,0.00023408579,0.001980953,0.0001085016,0.0006868779,0.00023588825,0.0015991217,0.000020618301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000108116816,0.000065445936,0.0012471688,0.0013330689,0.00019821724,0.000023652656,0.0014808011,0.9042508,0.00011811165,0.090158604,0.000042082433,0.000973913],"study_design_scores_gemma":[0.0012155566,0.00010942766,0.00004424295,0.0041593113,0.0001051648,0.000008747017,0.0033873785,0.9878053,0.000057019322,0.0018157209,0.0005551088,0.00073699566],"about_ca_topic_score_codex":0.000050728966,"about_ca_topic_score_gemma":0.000028373186,"teacher_disagreement_score":0.45096248,"about_ca_system_score_codex":0.00085576,"about_ca_system_score_gemma":0.00014600814,"threshold_uncertainty_score":0.99939334},"labels":[],"label_agreement":null},{"id":"W7131063269","doi":"10.1109/nemo59437.2024.11395664","title":"Leveraging Cloud Computing &amp; GPU Acceleration for High Fidelity Wireless Channel Modeling in Dynamic Virtual Terrestrial Environments","year":2024,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ansys (Canada)","funders":"","keywords":"Wireless; High fidelity; Cloud computing; Wireless network; Workflow; Solver; Channel (broadcasting); Fidelity","score_opus":0.032647147637569915,"score_gpt":0.2643171281981633,"score_spread":0.23166998056059335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131063269","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":[0.2613554,0.00046011558,0.7307552,0.00006933783,0.0056280857,0.0013578763,0.000034496723,0.00030234913,0.00003711144],"genre_scores_gemma":[0.9821171,0.00019985135,0.0153901335,0.000022852924,0.0011965754,0.0000900781,0.000461932,0.00020876827,0.00031271006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99597096,0.00011824871,0.0016634433,0.0010627077,0.0003295179,0.0008551359],"domain_scores_gemma":[0.99900424,0.00027928984,0.00013786895,0.00041858832,0.000028558508,0.00013145326],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008137946,0.00064060773,0.00064893346,0.00041998865,0.0002521821,0.00041100863,0.00026953933,0.00040486132,0.000036890535],"category_scores_gemma":[0.000076446835,0.00077973603,0.00016391487,0.0004216763,0.000031634358,0.0010714666,0.00016116023,0.00058221584,0.000046962203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006930265,0.000047550307,0.0000074339882,0.00032772758,0.00008187643,0.00000487085,0.0020805998,0.9748943,0.0061571454,0.0003710598,0.000023276141,0.015934868],"study_design_scores_gemma":[0.001635974,0.000050284045,0.000009751103,0.0009623784,0.000052944077,0.000005938613,0.0005410584,0.99481094,0.0004452898,0.0006923027,0.000066811735,0.00072631135],"about_ca_topic_score_codex":0.00034906683,"about_ca_topic_score_gemma":0.00019676522,"teacher_disagreement_score":0.7207617,"about_ca_system_score_codex":0.0016435726,"about_ca_system_score_gemma":0.00007871996,"threshold_uncertainty_score":0.99946535},"labels":[],"label_agreement":null},{"id":"W7131389004","doi":"10.1109/wccest66994.2025.11390028","title":"Energy Consumption Minimization in 5G Cellular Networks via Multi-Objective Machine Learning for Dynamic Resource Allocation","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Reinforcement learning; Cluster analysis; Provisioning; Energy consumption; Throughput; Cellular network; Unsupervised learning; Resource allocation; Minification; Q-learning","score_opus":0.006813691092911083,"score_gpt":0.22918966945529606,"score_spread":0.22237597836238499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7131389004","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":[0.00055930973,0.0056994837,0.99046004,0.000066090106,0.0007864697,0.0014698637,0.000007798481,0.0003478367,0.0006031326],"genre_scores_gemma":[0.9612033,0.0011416887,0.031119555,0.000054098728,0.000074163414,0.0003673215,0.0012083844,0.00013395217,0.0046975515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970288,0.00030701587,0.0011524907,0.0007699069,0.00014571645,0.00059604587],"domain_scores_gemma":[0.9985715,0.0004102627,0.00031956923,0.00036630983,0.00024865472,0.000083668834],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004381021,0.0005246217,0.0005498514,0.00077683775,0.0002609705,0.00008701753,0.00018864924,0.00058199227,0.000054884957],"category_scores_gemma":[0.0001911983,0.00066996115,0.00012639661,0.001000633,0.000055719098,0.00044654097,0.00005630289,0.0004257744,0.0000065123168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014326118,0.00010006088,0.0010233382,0.00036798485,0.00009944943,0.0000014430116,0.0003702083,0.96032816,0.004475513,0.0008233153,0.000026118292,0.032241143],"study_design_scores_gemma":[0.0027650942,0.00006891002,0.00040250484,0.00049486506,0.000099133635,0.0000018709851,0.00024583476,0.9915521,0.0028247195,0.000070739814,0.0009430918,0.000531101],"about_ca_topic_score_codex":0.00036007207,"about_ca_topic_score_gemma":0.0016283431,"teacher_disagreement_score":0.96064395,"about_ca_system_score_codex":0.0012109252,"about_ca_system_score_gemma":0.00005334511,"threshold_uncertainty_score":0.99957514},"labels":[],"label_agreement":null},{"id":"W7132864315","doi":"","title":"Joint transmit-receive linear optimization for multiuser MIMO wireless comunications","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Samsung","keywords":"Transmitter; Spatial multiplexing; MIMO; Flexibility (engineering); Multiplexing; Wireless; Channel (broadcasting); Joint (building); Focus (optics)","score_opus":0.02318792497392467,"score_gpt":0.3089576974161744,"score_spread":0.2857697724422497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132864315","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":[0.0027225667,0.0019412369,0.9842618,0.0005373858,0.0020162978,0.0055014496,0.00022900903,0.00054444186,0.0022458052],"genre_scores_gemma":[0.27485397,0.0049359114,0.6811832,0.00006321478,0.00087871286,0.0028247181,0.01720041,0.0012498678,0.016809983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.995792,0.000116356525,0.0016294562,0.0011333532,0.00040906138,0.000919775],"domain_scores_gemma":[0.99602324,0.00031758175,0.00085869536,0.0012163061,0.001245717,0.00033843852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028555904,0.0012059156,0.0012738305,0.000578437,0.00061064225,0.00014114947,0.0005859388,0.0012850732,0.00041921687],"category_scores_gemma":[0.00026017285,0.0015231774,0.0005293143,0.0009013204,0.000096778924,0.0006072002,0.000029885989,0.0008030792,0.00011626152],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013077333,0.00017300773,0.000004819683,0.0022691558,0.00028963076,0.0000017672033,0.01646277,0.97308886,0.004912869,0.0011634822,0.000118566764,0.0013842902],"study_design_scores_gemma":[0.0031789823,0.0001408204,0.00003164197,0.0021072105,0.0005225526,0.000006949601,0.0049996604,0.9746689,0.011832582,0.00012106042,0.00088249706,0.001507121],"about_ca_topic_score_codex":0.0004816901,"about_ca_topic_score_gemma":0.0007462911,"teacher_disagreement_score":0.3030786,"about_ca_system_score_codex":0.0011471001,"about_ca_system_score_gemma":0.00044107682,"threshold_uncertainty_score":0.9987217},"labels":[],"label_agreement":null},{"id":"W7132990685","doi":"","title":"Multiuser linear precoding for the downlink of MIMO-OFDM systems","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; LG Electronics","keywords":"Precoding; Telecommunications link; Base station; Transmission (telecommunications); Orthogonal frequency-division multiplexing; Interpolation (computer graphics); Transmitter; Computational complexity theory; Multiplexing","score_opus":0.027555337044930902,"score_gpt":0.3524774041478371,"score_spread":0.3249220671029062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132990685","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":[0.0050821267,0.014892574,0.96324426,0.00005535847,0.006857281,0.005637672,0.00009252834,0.00020414403,0.00393405],"genre_scores_gemma":[0.8794916,0.0029102326,0.055748206,0.000014909112,0.0025692028,0.0011579903,0.0013918509,0.00084627484,0.055869713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967176,0.00007180371,0.0014787946,0.00060816767,0.000394662,0.00072901027],"domain_scores_gemma":[0.9953281,0.001763499,0.0010701552,0.00092136447,0.0007833581,0.00013347108],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008969642,0.00076192076,0.0010147601,0.00034988194,0.00029074677,0.00007220025,0.0005421114,0.0009042853,0.00006664086],"category_scores_gemma":[0.00055320293,0.00067644776,0.00037293078,0.0005562537,0.000056572928,0.00023493904,0.000036213904,0.0005834701,0.000045992023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018287654,0.00003915502,0.000050594794,0.006029274,0.00039148467,0.0000011380988,0.009529637,0.97241926,0.008841673,0.00081897795,0.00020229895,0.0014936217],"study_design_scores_gemma":[0.0012425455,0.00010617601,0.00006164733,0.002474134,0.00046871425,0.0000064612796,0.014458187,0.9598004,0.014535987,0.000011666959,0.006053884,0.0007801462],"about_ca_topic_score_codex":0.00041670806,"about_ca_topic_score_gemma":0.00020914056,"teacher_disagreement_score":0.90749604,"about_ca_system_score_codex":0.0002997325,"about_ca_system_score_gemma":0.00009990208,"threshold_uncertainty_score":0.9995687},"labels":[],"label_agreement":null},{"id":"W7133001653","doi":"","title":"Optimal feedback quantization schemes for multiuser diversity systems","year":2004,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quantization (signal processing); Maximization; Minification; Base station; Vector quantization; Channel (broadcasting); Control theory (sociology)","score_opus":0.021694281674912115,"score_gpt":0.29849701728030414,"score_spread":0.27680273560539204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133001653","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":[0.038858384,0.0038042974,0.9459662,0.000045950375,0.005447893,0.0041704234,0.00010120761,0.00050549605,0.001100178],"genre_scores_gemma":[0.91614527,0.0007208038,0.053386413,0.000007866829,0.00079694024,0.00039374482,0.0040911054,0.0004783563,0.023979494],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9966689,0.00006951268,0.00094397576,0.0009906554,0.0004778627,0.00084914424],"domain_scores_gemma":[0.99725974,0.00020105272,0.00074976817,0.0006560691,0.00088977447,0.00024357384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027840288,0.0010088014,0.0010537449,0.00041727195,0.00088824466,0.00023030846,0.00048736462,0.0011473383,0.00009688351],"category_scores_gemma":[0.00029640924,0.0012795015,0.00033591222,0.0005902708,0.00005243484,0.0007281452,0.00013852539,0.00045934357,0.0001869679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022171988,0.000077068675,0.00022564236,0.005321835,0.00030200792,0.0000033571114,0.01091811,0.97753143,0.0026067814,0.0023687496,0.00023151138,0.00019181099],"study_design_scores_gemma":[0.004546504,0.00020991768,0.00017713134,0.0033095211,0.0006512287,0.000010395232,0.018104663,0.9614153,0.0065901834,0.00004497486,0.002760833,0.0021793784],"about_ca_topic_score_codex":0.0007777051,"about_ca_topic_score_gemma":0.00013973776,"teacher_disagreement_score":0.89257973,"about_ca_system_score_codex":0.0012027909,"about_ca_system_score_gemma":0.00018937133,"threshold_uncertainty_score":0.99896544},"labels":[],"label_agreement":null},{"id":"W7133027178","doi":"","title":"Resource Allocation and Percentile Optimization in Wireless Networks","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Resource allocation; Optimization problem; Power control; Utility maximization problem; Throughput; Wireless network; Maximization; Convex optimization; Key (lock); Wireless","score_opus":0.00948604081456649,"score_gpt":0.2701549465656275,"score_spread":0.260668905751061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133027178","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":[0.05019026,0.0023866398,0.93794054,0.00023065975,0.0019644492,0.0022516835,0.000007480389,0.0006901468,0.0043381625],"genre_scores_gemma":[0.95728064,0.0073066293,0.006075399,0.000018428633,0.00045560312,0.00032535623,0.0047355983,0.0006245364,0.023177832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972289,0.00015243747,0.00087391055,0.00083148165,0.00028009262,0.0006331297],"domain_scores_gemma":[0.9986311,0.00021342303,0.0003579817,0.00048325074,0.00015615772,0.0001580803],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036874457,0.0006574618,0.00067199854,0.000631469,0.00018020929,0.0001614979,0.00021322646,0.0009103684,0.00010048775],"category_scores_gemma":[0.0001220844,0.0008872633,0.000074881216,0.0013133648,0.000042905693,0.00036112228,0.000057753077,0.0006840162,0.00004686541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000615201,0.00002588721,0.00024838897,0.00074484095,0.000039815735,0.0000072743896,0.010178702,0.9850598,0.0003666055,0.00021920346,0.00019522733,0.002852748],"study_design_scores_gemma":[0.000702528,0.000033337135,0.0010005235,0.0015452775,0.000070107155,0.000004842704,0.010511005,0.98519623,0.00010371894,0.000012992493,0.00010057759,0.00071886793],"about_ca_topic_score_codex":0.00037827392,"about_ca_topic_score_gemma":0.00076898467,"teacher_disagreement_score":0.9318651,"about_ca_system_score_codex":0.00045182955,"about_ca_system_score_gemma":0.000054276767,"threshold_uncertainty_score":0.9993578},"labels":[],"label_agreement":null},{"id":"W7133032031","doi":"","title":"5G Resource Allocation with Interference and Scarcity: Market Design for Spectrum and Beyond","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scarcity; Spectrum management; Resource allocation; Frequency allocation; Interference (communication); Resource management (computing); Market mechanism","score_opus":0.012718194935660508,"score_gpt":0.263343732790477,"score_spread":0.2506255378548165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133032031","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":[0.0103892675,0.0038869176,0.9743972,0.0004101705,0.0003338748,0.0031816713,0.000033056447,0.00015404221,0.0072138044],"genre_scores_gemma":[0.8927275,0.0013613751,0.06493875,0.00004204748,0.0001943118,0.0012155364,0.000926534,0.00041806846,0.038175896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979395,0.00015266157,0.00043096405,0.0008092215,0.00022537513,0.00044224845],"domain_scores_gemma":[0.9985011,0.000494985,0.00034338245,0.00040146906,0.00010481836,0.00015424569],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046356206,0.0005873331,0.000561256,0.00030551778,0.00036071258,0.00016499255,0.00018051392,0.00024869092,0.00023627932],"category_scores_gemma":[0.00013175288,0.000666788,0.000041434523,0.00034777008,0.000070574475,0.00028798243,0.000048563565,0.000416672,0.000001941759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007176741,0.0001451356,0.0007350774,0.010030718,0.00089789304,0.000021667334,0.08547021,0.8582389,0.010359471,0.004233653,0.0044700676,0.018220503],"study_design_scores_gemma":[0.0037576712,0.0022425214,0.0010781696,0.001692616,0.0007885208,0.00014360117,0.04208753,0.93097854,0.008632585,0.0014086743,0.0046292013,0.0025603552],"about_ca_topic_score_codex":0.00005828372,"about_ca_topic_score_gemma":0.000201612,"teacher_disagreement_score":0.90945846,"about_ca_system_score_codex":0.00026969519,"about_ca_system_score_gemma":0.00008940174,"threshold_uncertainty_score":0.99957836},"labels":[],"label_agreement":null},{"id":"W7133049516","doi":"","title":"Channel Estimation in TDD and FDD-Based Massive MIMO Systems","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto","keywords":"Telecommunications link; Channel (broadcasting); MIMO; Fading; Channel state information; Precoding; Orthogonality","score_opus":0.010850787464321766,"score_gpt":0.279810187370558,"score_spread":0.26895939990623624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133049516","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":[0.035592604,0.022099994,0.9306991,0.00025579383,0.0045896377,0.0030492467,0.000043056494,0.0002864855,0.0033840744],"genre_scores_gemma":[0.98378766,0.0005699696,0.006730508,0.000011142016,0.00017446732,0.00049208413,0.002290788,0.0002592509,0.005684162],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971536,0.0001845689,0.00092899014,0.0008255124,0.00033663894,0.00057069806],"domain_scores_gemma":[0.9982055,0.00026772733,0.000519668,0.0005156525,0.00031290593,0.00017856869],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025679806,0.0007611006,0.000978737,0.0006322312,0.00013220278,0.00022252256,0.0001582316,0.0008185286,0.00006414076],"category_scores_gemma":[0.00034040006,0.0009856184,0.00009576773,0.00084350567,0.000034047465,0.000361935,0.000027324822,0.0005802466,0.000041561932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042292457,0.00003979408,0.00004923276,0.004797,0.000059987382,0.00005735104,0.007419382,0.985205,0.0016644483,0.0002409585,0.000049605165,0.00037493595],"study_design_scores_gemma":[0.0012243497,0.00005265005,0.00024438306,0.0051734066,0.00009780281,0.000012648093,0.013041765,0.97712755,0.0021211093,0.000036290967,0.00004596911,0.00082210207],"about_ca_topic_score_codex":0.0007940542,"about_ca_topic_score_gemma":0.0005155282,"teacher_disagreement_score":0.94819504,"about_ca_system_score_codex":0.000611625,"about_ca_system_score_gemma":0.0002026832,"threshold_uncertainty_score":0.9992594},"labels":[],"label_agreement":null},{"id":"W7133073279","doi":"","title":"Analysis and Design of Distributed MIMO Wireless Networks","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"MIMO; Beamforming; Wireless network; Resource allocation; Software deployment; Focus (optics); Wireless; Cluster analysis; Cellular network","score_opus":0.013879044228496446,"score_gpt":0.2789054073892405,"score_spread":0.26502636316074407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133073279","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":[0.015104298,0.0017988406,0.98144346,0.000014206893,0.0005716142,0.0007296215,0.000051411906,0.00019796749,0.000088557295],"genre_scores_gemma":[0.983147,0.0032310486,0.005398877,0.0000014031012,0.00011442439,0.000094055045,0.004081495,0.00020679321,0.0037248805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977936,0.00013931537,0.00081475487,0.0005631228,0.00023536662,0.00045383],"domain_scores_gemma":[0.9979841,0.00049835665,0.0005775138,0.0005153711,0.00027578842,0.00014885639],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029038277,0.0005559286,0.0012106398,0.00063015654,0.000109415334,0.000053939842,0.00020008876,0.0006365234,0.00006362848],"category_scores_gemma":[0.00012356578,0.0006757136,0.00020627907,0.0035570974,0.00005035967,0.00012886111,0.000037786765,0.00035799388,0.000012180637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007040453,0.000016841415,0.0008936034,0.00069903256,0.0018696486,0.0000059946587,0.0027824368,0.99105525,0.0013151881,0.000046684996,0.00006981749,0.0011750812],"study_design_scores_gemma":[0.0003507287,0.000042856394,0.0029507452,0.00043758473,0.0024281768,0.0000010295016,0.0029883485,0.989215,0.001030375,0.000018891578,0.0000056276403,0.0005306208],"about_ca_topic_score_codex":0.0004288438,"about_ca_topic_score_gemma":0.00029211355,"teacher_disagreement_score":0.9760446,"about_ca_system_score_codex":0.00013538716,"about_ca_system_score_gemma":0.000042857562,"threshold_uncertainty_score":0.9995694},"labels":[],"label_agreement":null},{"id":"W7133204224","doi":"10.1109/icateee68170.2025.11406359","title":"Enhanced Isolation in CDRA Massive MIMO Arrays Using Alternating Slot Orientation Rotation (ASOR)","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Beamwidth; MIMO; Resonator; Array gain; Diversity gain; Decoupling (probability); Antenna diversity; Antenna array; Side lobe; Broadband","score_opus":0.010929466720365771,"score_gpt":0.2718162092962148,"score_spread":0.26088674257584904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133204224","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":[0.18114577,0.00021876943,0.80477566,0.00005414632,0.0022375816,0.0013029791,0.000006439161,0.00020883397,0.010049813],"genre_scores_gemma":[0.8819408,0.00009439296,0.11690241,0.000041178075,0.00017849152,0.000089313275,0.00008478523,0.00007750841,0.00059115415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9965862,0.00018536781,0.0016013908,0.0007312866,0.00031223707,0.00058349833],"domain_scores_gemma":[0.99839616,0.00024662496,0.0005105638,0.00038586548,0.00038193472,0.00007883715],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000402763,0.00049372634,0.00051303953,0.0009596657,0.00021963671,0.00019065436,0.00018604222,0.00031292776,0.00014059935],"category_scores_gemma":[0.00041479993,0.00064088666,0.000101940685,0.0018912718,0.000035097113,0.0019035136,0.00006147237,0.00037348206,0.00003437662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042922657,0.00003714266,0.001040732,0.00028704875,0.000046352874,0.0000019911756,0.0016255911,0.765489,0.22294244,0.004005684,0.0000056693457,0.0044754352],"study_design_scores_gemma":[0.0016564041,0.000033114975,0.00077816873,0.0009978773,0.00004852965,8.7960694e-7,0.0024072484,0.8930361,0.09979979,0.00077176926,0.000009213933,0.00046087746],"about_ca_topic_score_codex":0.00042640528,"about_ca_topic_score_gemma":0.00031636385,"teacher_disagreement_score":0.700795,"about_ca_system_score_codex":0.0017379895,"about_ca_system_score_gemma":0.00013763254,"threshold_uncertainty_score":0.9996042},"labels":[],"label_agreement":null},{"id":"W7134185870","doi":"10.1109/icngn67480.2025.11413736","title":"Optimized Bandwidth Allocation in Cellular Networks Using Genetic Algorithms and a Historical Stability Index","year":2025,"lang":"","type":"article","venue":"","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":"Carleton University","funders":"","keywords":"Stability (learning theory); Cellular network; Bandwidth (computing); Genetic algorithm; Bandwidth allocation; Index (typography)","score_opus":0.015204646098718643,"score_gpt":0.22580091904137786,"score_spread":0.21059627294265923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7134185870","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":[0.012835204,0.011176104,0.9729503,0.00006522497,0.0012647279,0.0011359565,0.0000016593863,0.00013327996,0.00043757967],"genre_scores_gemma":[0.7780365,0.0006980092,0.22076668,0.000020855223,0.000100663936,0.00004413878,0.000008688141,0.000051468764,0.0002730447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99719226,0.000214954,0.0011597256,0.0007152978,0.00017321095,0.0005445501],"domain_scores_gemma":[0.99890125,0.0001698815,0.00013243988,0.0005104067,0.00014405315,0.00014198391],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004944234,0.00043451143,0.0006819282,0.00038112508,0.00011819257,0.00008631071,0.00015545626,0.00047464517,0.000073945244],"category_scores_gemma":[0.00010599791,0.00051648356,0.00007356664,0.0011006896,0.000060271683,0.00032055058,0.00012484405,0.00043585687,0.0000011416488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056392604,0.00007676222,0.004112735,0.00026200782,0.00004376896,0.0000064920127,0.00023507302,0.9873451,0.00073101395,0.00006564775,0.000018774355,0.007046219],"study_design_scores_gemma":[0.0019737666,0.000025163588,0.0009804731,0.00021974221,0.00006884669,0.0000033912,0.00012316056,0.99554956,0.00041838846,0.00012910832,0.00009410049,0.0004142978],"about_ca_topic_score_codex":0.0009026801,"about_ca_topic_score_gemma":0.0000703714,"teacher_disagreement_score":0.7652013,"about_ca_system_score_codex":0.0033772099,"about_ca_system_score_gemma":0.00012659334,"threshold_uncertainty_score":0.9997287},"labels":[],"label_agreement":null},{"id":"W7138872239","doi":"10.1109/globecom59602.2025.11432796","title":"Polarized 6D Movable Antenna for Wireless Communication: Channel Modeling and Optimization","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Antenna (radio); Wireless; Base station; Antenna diversity; Channel state information; Channel (broadcasting); Transceiver; Antenna array","score_opus":0.01521921396181813,"score_gpt":0.24553788560088824,"score_spread":0.2303186716390701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7138872239","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":[0.0001698479,0.0066617676,0.9880218,0.00055635645,0.0004959257,0.0017609091,0.000036700127,0.00034901197,0.0019477016],"genre_scores_gemma":[0.54911864,0.0036508606,0.44390175,0.00010308773,0.000058370475,0.00022394268,0.00017906059,0.000091106485,0.0026731882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980956,0.0000673601,0.00082668,0.00045813853,0.00010629648,0.00044593916],"domain_scores_gemma":[0.9983931,0.00017298621,0.00013053606,0.00071658485,0.0004910447,0.00009570665],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039855283,0.00038438602,0.00053430966,0.00031504204,0.00050426094,0.00020757735,0.0002827881,0.00032936814,0.000027804144],"category_scores_gemma":[0.00010319587,0.0004578549,0.00008474364,0.0006063171,0.000052294065,0.0008155426,0.00016191679,0.00021752375,0.00000315854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006554111,0.00003542685,0.0000055676755,0.0006348989,0.00012063507,2.5699947e-7,0.00035841746,0.98941004,0.0015766936,0.0073327827,0.000042622883,0.00041713665],"study_design_scores_gemma":[0.0021827756,0.000025136465,6.006251e-7,0.00066690415,0.00010882846,0.000004253957,0.00084875105,0.9944393,0.00022560015,0.0010468476,0.000055008524,0.00039601885],"about_ca_topic_score_codex":0.00012063947,"about_ca_topic_score_gemma":0.000027503285,"teacher_disagreement_score":0.54894876,"about_ca_system_score_codex":0.00019733049,"about_ca_system_score_gemma":0.000070710215,"threshold_uncertainty_score":0.99978733},"labels":[],"label_agreement":null},{"id":"W7139134133","doi":"10.1109/globecom59602.2025.11432681","title":"Exploiting Movable Antennas in Multicast Communications","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Multicast; Beamforming; Transmission (telecommunications); Greedy algorithm; Antenna (radio); Directional antenna; Source-specific multicast","score_opus":0.02472232635855057,"score_gpt":0.2855144518652364,"score_spread":0.2607921255066858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7139134133","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":[0.0012189449,0.0030118688,0.8655592,0.00053987844,0.0004811727,0.0006550667,0.0000067038154,0.00029557425,0.12823159],"genre_scores_gemma":[0.855191,0.0011810694,0.13863286,0.00006686141,0.000022673874,0.00009920261,0.00001487266,0.00004161827,0.00474983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982801,0.00008513267,0.0008290403,0.0002866791,0.00007797193,0.0004410581],"domain_scores_gemma":[0.9981684,0.00028663315,0.00006862697,0.0012972123,0.000121575125,0.000057535104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002716178,0.00024550286,0.0003432008,0.00043447068,0.00015536888,0.00007709223,0.00051819184,0.00015970187,0.00010088735],"category_scores_gemma":[0.00025751133,0.0003046989,0.000058150406,0.0012672525,0.00007251965,0.00049265614,0.00031881453,0.0003801712,0.00009756034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009185938,0.00017981876,0.0018317063,0.000445329,0.00007288374,0.0000059891486,0.0013423722,0.9439161,0.006899259,0.037215937,0.00022890352,0.007852532],"study_design_scores_gemma":[0.0007317563,0.000006898731,0.00023902937,0.00095724413,0.000017382095,0.0000020452205,0.0034372716,0.9911169,0.0012231728,0.00033943166,0.0016718603,0.00025701488],"about_ca_topic_score_codex":0.0002850857,"about_ca_topic_score_gemma":0.0005044122,"teacher_disagreement_score":0.8539721,"about_ca_system_score_codex":0.0003755638,"about_ca_system_score_gemma":0.000053030322,"threshold_uncertainty_score":0.9999405},"labels":[],"label_agreement":null},{"id":"W7140470940","doi":"10.1109/sisimpact67725.2025.11439739","title":"Quad-Radiator MIMO with Asymmetric Feed Line for (n77/n78/n79/WLAN) 5G-Wireless Applications","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Control theory (sociology); Line (geometry); Noise (video); MIMO","score_opus":0.007001466723988915,"score_gpt":0.24201976214576687,"score_spread":0.23501829542177796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7140470940","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":[0.0004990258,0.0026314736,0.9767162,0.00046236304,0.00071324036,0.005289455,0.00017404917,0.0007576675,0.012756493],"genre_scores_gemma":[0.8552883,0.0004646966,0.12363357,0.00021033273,0.00059824844,0.0038019004,0.00027123748,0.0002584916,0.015473183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99664974,0.000051687904,0.0011856682,0.00095712213,0.00027070718,0.0008850459],"domain_scores_gemma":[0.99712765,0.00062847434,0.0002860601,0.0011026748,0.00057014846,0.000284973],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030629884,0.0007213695,0.0008831393,0.0011081228,0.00038380086,0.00017497812,0.0005329868,0.00046112537,0.00007783089],"category_scores_gemma":[0.00012233965,0.0007224327,0.00020362085,0.0042388407,0.00008377506,0.0004434117,0.000064215434,0.00038040144,0.00012736215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025206053,0.0005676087,0.0013316718,0.004056427,0.0011184831,0.0000037864374,0.0003398619,0.8094914,0.0027221716,0.11329561,0.0036394414,0.06318148],"study_design_scores_gemma":[0.004775669,0.00029953834,0.000296551,0.0004990244,0.00054175203,0.000009723229,0.0005925658,0.9304132,0.00853073,0.00067642855,0.05196035,0.0014044574],"about_ca_topic_score_codex":0.00014461446,"about_ca_topic_score_gemma":0.00020323486,"teacher_disagreement_score":0.8547893,"about_ca_system_score_codex":0.00060195767,"about_ca_system_score_gemma":0.00027584686,"threshold_uncertainty_score":0.9995227},"labels":[],"label_agreement":null},{"id":"W7143419016","doi":"10.5281/zenodo.19327406","title":"Interference Mitigation in Wireless Networks: A Comparative Study of Coordination Strategies","year":2023,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interference (communication); Base station; Transmission (telecommunications); Wireless; Software deployment; User equipment; Co-channel interference; Mobile telephony","score_opus":0.04378047479401175,"score_gpt":0.27808843789332754,"score_spread":0.23430796309931579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7143419016","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":[0.67294925,0.00014140019,0.29964635,0.00008271511,0.00048043267,0.0030768062,0.00014018176,0.0016173675,0.021865498],"genre_scores_gemma":[0.99742204,0.0001300174,0.00009125337,0.0000026269552,0.000079759455,4.4049193e-7,0.0011569468,0.00096336653,0.00015356368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99697554,0.0007664492,0.0008738409,0.0005391315,0.00036590436,0.0004791621],"domain_scores_gemma":[0.9981335,0.00008496007,0.0003118058,0.0004597728,0.00089820684,0.00011178483],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009056227,0.00029042125,0.00044267182,0.0008811758,0.00074641773,0.00058127387,0.00076656044,0.00013050101,0.0009381425],"category_scores_gemma":[0.00019976692,0.00036560462,0.00004488435,0.003268458,0.0001464571,0.0009920934,0.00063325,0.0004393976,0.0008052561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114056624,0.00042407226,0.000041859315,0.00032069467,0.00010397999,0.000014288681,0.027136683,0.94517267,0.0043232082,0.003068139,0.004090781,0.0151895955],"study_design_scores_gemma":[0.0020888501,0.001025134,0.002891094,0.00052297843,0.00003518296,0.000015212943,0.06470904,0.92495346,0.0004341732,0.00016484094,0.00270331,0.000456737],"about_ca_topic_score_codex":0.00005696479,"about_ca_topic_score_gemma":0.0000139308095,"teacher_disagreement_score":0.32447278,"about_ca_system_score_codex":0.00038964857,"about_ca_system_score_gemma":0.000007291148,"threshold_uncertainty_score":0.99997514},"labels":[],"label_agreement":null},{"id":"W7143448992","doi":"10.5281/zenodo.19333890","title":"Interference Mitigation in Wireless Networks: A Comparative Study of Coordination Strategies","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interference (communication); Base station; Transmission (telecommunications); Wireless; Software deployment; User equipment; Co-channel interference; Mobile telephony","score_opus":0.034740164869982666,"score_gpt":0.2752010328621361,"score_spread":0.24046086799215344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7143448992","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":[0.24741934,0.0010305487,0.71779794,0.00007939315,0.00070164417,0.0026266656,0.00013686305,0.0012658478,0.028941747],"genre_scores_gemma":[0.99775594,0.00014968943,0.00015171173,0.0000024398287,0.000112508715,3.6293713e-7,0.00064431375,0.0010432382,0.00013978046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971545,0.00067016925,0.0008554924,0.0005925446,0.0003307673,0.00039652543],"domain_scores_gemma":[0.99853563,0.00008495338,0.00017501958,0.00039694342,0.0007038084,0.00010365279],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007544989,0.000301909,0.0004065034,0.00074491743,0.0005354849,0.0012128052,0.0006583511,0.00013093153,0.0014514864],"category_scores_gemma":[0.00011494562,0.00036255977,0.000050800205,0.0020664353,0.00014648629,0.001309076,0.00045470413,0.0005510925,0.00045597958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012455694,0.0005988489,0.000014265966,0.0010080492,0.00021685023,0.00003163516,0.04162736,0.8920625,0.005791915,0.012748924,0.0040844814,0.04169061],"study_design_scores_gemma":[0.0010329494,0.00095849484,0.0004135429,0.0011748772,0.00005071127,0.000032616474,0.033545543,0.95588696,0.00041767536,0.0001850982,0.005893024,0.00040849022],"about_ca_topic_score_codex":0.00005504645,"about_ca_topic_score_gemma":0.0000118781745,"teacher_disagreement_score":0.7503366,"about_ca_system_score_codex":0.0005292738,"about_ca_system_score_gemma":0.000010313194,"threshold_uncertainty_score":0.99988264},"labels":[],"label_agreement":null},{"id":"W7143460357","doi":"10.5281/zenodo.19333891","title":"Interference Mitigation in Wireless Networks: A Comparative Study of Coordination Strategies","year":2024,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interference (communication); Base station; Transmission (telecommunications); Wireless; Software deployment; User equipment; Co-channel interference; Mobile telephony","score_opus":0.034740164869982666,"score_gpt":0.2752010328621361,"score_spread":0.24046086799215344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7143460357","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":[0.24741934,0.0010305487,0.71779794,0.00007939315,0.00070164417,0.0026266656,0.00013686305,0.0012658478,0.028941747],"genre_scores_gemma":[0.99775594,0.00014968943,0.00015171173,0.0000024398287,0.000112508715,3.6293713e-7,0.00064431375,0.0010432382,0.00013978046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971545,0.00067016925,0.0008554924,0.0005925446,0.0003307673,0.00039652543],"domain_scores_gemma":[0.99853563,0.00008495338,0.00017501958,0.00039694342,0.0007038084,0.00010365279],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007544989,0.000301909,0.0004065034,0.00074491743,0.0005354849,0.0012128052,0.0006583511,0.00013093153,0.0014514864],"category_scores_gemma":[0.00011494562,0.00036255977,0.000050800205,0.0020664353,0.00014648629,0.001309076,0.00045470413,0.0005510925,0.00045597958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012455694,0.0005988489,0.000014265966,0.0010080492,0.00021685023,0.00003163516,0.04162736,0.8920625,0.005791915,0.012748924,0.0040844814,0.04169061],"study_design_scores_gemma":[0.0010329494,0.00095849484,0.0004135429,0.0011748772,0.00005071127,0.000032616474,0.033545543,0.95588696,0.00041767536,0.0001850982,0.005893024,0.00040849022],"about_ca_topic_score_codex":0.00005504645,"about_ca_topic_score_gemma":0.0000118781745,"teacher_disagreement_score":0.7503366,"about_ca_system_score_codex":0.0005292738,"about_ca_system_score_gemma":0.000010313194,"threshold_uncertainty_score":0.99988264},"labels":[],"label_agreement":null},{"id":"W7143538874","doi":"10.5281/zenodo.19327405","title":"Interference Mitigation in Wireless Networks: A Comparative Study of Coordination Strategies","year":2023,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interference (communication); Base station; Transmission (telecommunications); Wireless; Software deployment; User equipment; Co-channel interference; Mobile telephony","score_opus":0.04378047479401175,"score_gpt":0.27808843789332754,"score_spread":0.23430796309931579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7143538874","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":[0.67294925,0.00014140019,0.29964635,0.00008271511,0.00048043267,0.0030768062,0.00014018176,0.0016173675,0.021865498],"genre_scores_gemma":[0.99742204,0.0001300174,0.00009125337,0.0000026269552,0.000079759455,4.4049193e-7,0.0011569468,0.00096336653,0.00015356368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99697554,0.0007664492,0.0008738409,0.0005391315,0.00036590436,0.0004791621],"domain_scores_gemma":[0.9981335,0.00008496007,0.0003118058,0.0004597728,0.00089820684,0.00011178483],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009056227,0.00029042125,0.00044267182,0.0008811758,0.00074641773,0.00058127387,0.00076656044,0.00013050101,0.0009381425],"category_scores_gemma":[0.00019976692,0.00036560462,0.00004488435,0.003268458,0.0001464571,0.0009920934,0.00063325,0.0004393976,0.0008052561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114056624,0.00042407226,0.000041859315,0.00032069467,0.00010397999,0.000014288681,0.027136683,0.94517267,0.0043232082,0.003068139,0.004090781,0.0151895955],"study_design_scores_gemma":[0.0020888501,0.001025134,0.002891094,0.00052297843,0.00003518296,0.000015212943,0.06470904,0.92495346,0.0004341732,0.00016484094,0.00270331,0.000456737],"about_ca_topic_score_codex":0.00005696479,"about_ca_topic_score_gemma":0.0000139308095,"teacher_disagreement_score":0.32447278,"about_ca_system_score_codex":0.00038964857,"about_ca_system_score_gemma":0.000007291148,"threshold_uncertainty_score":0.99997514},"labels":[],"label_agreement":null},{"id":"W7147007580","doi":"10.5281/zenodo.19343805","title":"Interference Mitigation in Wireless Networks: A Comparative Study of Coordination Strategies","year":2021,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interference (communication); Base station; Transmission (telecommunications); Wireless; Software deployment; User equipment; Co-channel interference; Mobile telephony","score_opus":0.03613201960740391,"score_gpt":0.2684792238579717,"score_spread":0.23234720425056776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147007580","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":[0.40756664,0.00047467265,0.5581309,0.000076622506,0.00040636098,0.0018199928,0.00010990619,0.00053922646,0.030875668],"genre_scores_gemma":[0.99749243,0.00013992081,0.00030761346,0.000004676283,0.0000790453,2.590089e-7,0.0010111008,0.00081943313,0.00014551445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967673,0.0010115193,0.0008919647,0.0005812673,0.0003422151,0.00040573292],"domain_scores_gemma":[0.9973411,0.000070641894,0.00031428135,0.0005107443,0.0016487963,0.00011445865],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059104676,0.00028671097,0.00047260794,0.00041173093,0.0006629525,0.0007018009,0.0005998106,0.00013296465,0.0019330113],"category_scores_gemma":[0.00024022518,0.00037382593,0.00004918738,0.0019416149,0.00013277892,0.0009894419,0.00061287085,0.00047667755,0.0002298218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013340064,0.0011793028,0.00005214653,0.0004435686,0.0001759674,0.00003969122,0.028364168,0.929423,0.0122093,0.0060203495,0.002032885,0.019926257],"study_design_scores_gemma":[0.0040692645,0.001335189,0.0025293806,0.0010701615,0.000084901316,0.000089801666,0.11753679,0.8630493,0.003577201,0.00024603787,0.0055988347,0.0008131292],"about_ca_topic_score_codex":0.000040460276,"about_ca_topic_score_gemma":0.000023071214,"teacher_disagreement_score":0.5899258,"about_ca_system_score_codex":0.00044469148,"about_ca_system_score_gemma":0.000014210789,"threshold_uncertainty_score":0.9998714},"labels":[],"label_agreement":null},{"id":"W7147194346","doi":"10.70675/933f6f22zcd5ez427fz9fd8z6b80ede0ebb6","title":"Techniques vertes d’optimisation et d’adaptation du lien radio sans-fil","year":2014,"lang":"","type":"dissertation","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Radio channel; European union","score_opus":0.008175058013581118,"score_gpt":0.23283511684330727,"score_spread":0.22466005882972614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147194346","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":[0.0011461006,0.000538417,0.91653013,0.00018792442,0.0019489303,0.0020825374,0.000026154876,0.0016284416,0.07591138],"genre_scores_gemma":[0.7728354,0.0029624598,0.20913415,0.00013728315,0.0009086537,0.0007049836,0.007163436,0.00055633666,0.005597304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954175,0.00034866246,0.001808442,0.0010950154,0.0006268482,0.000703575],"domain_scores_gemma":[0.99681437,0.0004765912,0.00085401087,0.00085584045,0.00076261914,0.00023659255],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008577913,0.0012490164,0.0011126964,0.00083643274,0.00032988185,0.00033335117,0.00047427297,0.0013895687,0.00066298066],"category_scores_gemma":[0.00053753966,0.0014501032,0.00032108804,0.00069538644,0.00005447867,0.0015948283,0.00003866306,0.00075056276,0.00029101706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010833556,0.00012916047,0.000095935306,0.001446985,0.00023465094,0.0000034292368,0.00814405,0.933446,0.01012079,0.014495744,0.0014786952,0.030296227],"study_design_scores_gemma":[0.0011015371,0.00026064372,0.000306896,0.0013012682,0.000306187,0.00001981066,0.0025955618,0.96077186,0.025462419,0.0009932045,0.004902389,0.0019782525],"about_ca_topic_score_codex":0.00054968445,"about_ca_topic_score_gemma":0.00072176347,"teacher_disagreement_score":0.7716893,"about_ca_system_score_codex":0.0008435088,"about_ca_system_score_gemma":0.0001946008,"threshold_uncertainty_score":0.99990684},"labels":[],"label_agreement":null},{"id":"W7147227743","doi":"10.5281/zenodo.19343804","title":"Interference Mitigation in Wireless Networks: A Comparative Study of Coordination Strategies","year":2021,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Interference (communication); Base station; Transmission (telecommunications); Wireless; Software deployment; User equipment; Co-channel interference; Mobile telephony","score_opus":0.03613201960740391,"score_gpt":0.2684792238579717,"score_spread":0.23234720425056776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147227743","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":[0.40756664,0.00047467265,0.5581309,0.000076622506,0.00040636098,0.0018199928,0.00010990619,0.00053922646,0.030875668],"genre_scores_gemma":[0.99749243,0.00013992081,0.00030761346,0.000004676283,0.0000790453,2.590089e-7,0.0010111008,0.00081943313,0.00014551445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967673,0.0010115193,0.0008919647,0.0005812673,0.0003422151,0.00040573292],"domain_scores_gemma":[0.9973411,0.000070641894,0.00031428135,0.0005107443,0.0016487963,0.00011445865],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059104676,0.00028671097,0.00047260794,0.00041173093,0.0006629525,0.0007018009,0.0005998106,0.00013296465,0.0019330113],"category_scores_gemma":[0.00024022518,0.00037382593,0.00004918738,0.0019416149,0.00013277892,0.0009894419,0.00061287085,0.00047667755,0.0002298218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013340064,0.0011793028,0.00005214653,0.0004435686,0.0001759674,0.00003969122,0.028364168,0.929423,0.0122093,0.0060203495,0.002032885,0.019926257],"study_design_scores_gemma":[0.0040692645,0.001335189,0.0025293806,0.0010701615,0.000084901316,0.000089801666,0.11753679,0.8630493,0.003577201,0.00024603787,0.0055988347,0.0008131292],"about_ca_topic_score_codex":0.000040460276,"about_ca_topic_score_gemma":0.000023071214,"teacher_disagreement_score":0.5899258,"about_ca_system_score_codex":0.00044469148,"about_ca_system_score_gemma":0.000014210789,"threshold_uncertainty_score":0.9998714},"labels":[],"label_agreement":null},{"id":"W774630438","doi":"10.1007/s11036-015-0629-9","title":"A Stackelberg Game Based Inter-tier Spectrum Sharing Scheme for LTE-A SON","year":2015,"lang":"en","type":"article","venue":"Mobile Networks and Applications","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":"Communications Research Centre Canada","funders":"National Natural Science Foundation of China","keywords":"Stackelberg competition; Computer science; Throughput; Computer network; Interference (communication); Telecommunications link; Scheme (mathematics); Resource allocation; Frequency allocation; Telecommunications; Wireless","score_opus":0.012934668736316147,"score_gpt":0.24056326879827336,"score_spread":0.2276286000619572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W774630438","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":[0.0015089001,0.0006843749,0.9957417,0.000028144941,0.00008991421,0.0010713094,0.000014388159,0.00025513239,0.0006061291],"genre_scores_gemma":[0.9857553,0.000044538247,0.009102781,0.00003694085,0.00043230221,0.0042008697,0.00011797677,0.000059919377,0.00024931927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993382,0.000004299017,0.00018924577,0.00021313503,0.000044111715,0.00021097038],"domain_scores_gemma":[0.9995167,0.000035811867,0.00003773521,0.00025433305,0.000044636534,0.00011076208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093403156,0.00012450728,0.0001351894,0.00004302222,0.000055328204,0.00004827375,0.000095878815,0.000072152674,0.000009092885],"category_scores_gemma":[0.000004665531,0.0001328837,0.000031344254,0.00016416625,0.000019817842,0.00010454905,0.000026605301,0.00008667011,0.0000067442306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004371269,0.000014685456,0.00020905031,0.00003055946,0.000009255891,8.240792e-8,0.000023465547,0.9943251,0.00005948675,0.0009996742,0.0010799615,0.003244299],"study_design_scores_gemma":[0.0003544581,0.000026555239,0.000012020511,0.000023166314,0.0000094244815,0.0000011060685,0.000051754054,0.9228843,0.000111015994,0.0005140752,0.07587114,0.00014099364],"about_ca_topic_score_codex":0.000005201452,"about_ca_topic_score_gemma":0.000017388475,"teacher_disagreement_score":0.9866389,"about_ca_system_score_codex":0.00006840326,"about_ca_system_score_gemma":0.000009412929,"threshold_uncertainty_score":0.54188395},"labels":[],"label_agreement":null},{"id":"W800166427","doi":"10.1007/978-3-319-06284-6_3","title":"Spectrum Aware Opportunistic Routing for Wireless Backhaul","year":2014,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","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 Waterloo","funders":"","keywords":"Computer network; Backhaul (telecommunications); Computer science; Wireless; Telecommunications","score_opus":0.008116994474409573,"score_gpt":0.18511299458274544,"score_spread":0.17699600010833585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W800166427","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":[0.00009700846,0.00044635168,0.9951669,0.000017520815,0.0006410286,0.00047060006,0.000012108032,0.0005411961,0.00260728],"genre_scores_gemma":[0.8951166,0.0015463743,0.065710604,0.00023175456,0.0071930997,0.00032169995,0.0003263651,0.0017852907,0.027768165],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981815,0.0000054584452,0.00057778414,0.00050957676,0.00014481446,0.00058085483],"domain_scores_gemma":[0.9992775,0.0001733347,0.00008254201,0.00027224928,0.000036742982,0.00015763746],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000141028,0.0005480252,0.00069447997,0.00031729555,0.000046778536,0.00007123644,0.00019875578,0.00036079512,0.000007879502],"category_scores_gemma":[0.000011875124,0.0006476722,0.00011530026,0.00008994264,0.000018779749,0.000073327574,0.000080176615,0.0005691882,0.0000070689753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015278254,0.000011701709,0.00004163914,0.0011832796,0.00016038907,0.000057681045,0.00006277453,0.70559394,0.00012607875,0.22889829,0.00033710967,0.06351185],"study_design_scores_gemma":[0.00037558188,0.00006177913,0.00003297653,0.0005040532,0.00002798191,0.00003341775,3.337703e-7,0.9850678,0.000057342815,0.0006854971,0.012447735,0.0007055118],"about_ca_topic_score_codex":0.0000033117833,"about_ca_topic_score_gemma":0.0000053265335,"teacher_disagreement_score":0.9294563,"about_ca_system_score_codex":0.0002471435,"about_ca_system_score_gemma":0.000021111342,"threshold_uncertainty_score":0.99959743},"labels":[],"label_agreement":null},{"id":"W810512076","doi":"10.1007/s11036-015-0621-4","title":"Context-Aware User Association for Energy Cost Saving in a Green Heterogeneous Network with Hybrid Energy Supplies","year":2015,"lang":"en","type":"article","venue":"Mobile Networks and Applications","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":"St. Francis Xavier University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Energy consumption; Exploit; Backhaul (telecommunications); Context (archaeology); Heterogeneous network; Efficient energy use; Network architecture; Energy (signal processing); Minification; Computer network; Distributed computing; Wireless network; Wireless; Base station; Telecommunications; Computer security","score_opus":0.006576134501582025,"score_gpt":0.20080966000549721,"score_spread":0.19423352550391518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W810512076","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":[0.000835638,0.0016717407,0.996323,0.000018483466,0.00006526333,0.0007083505,0.00003251418,0.00015847075,0.00018657712],"genre_scores_gemma":[0.9906969,0.00025442886,0.0006836546,0.00007323995,0.0004576231,0.0071477033,0.00027870107,0.000058670772,0.00034908968],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913317,0.00001862194,0.00024364448,0.0002246323,0.000076631266,0.00030332885],"domain_scores_gemma":[0.9994262,0.000117958516,0.000086571024,0.00017655935,0.000096877666,0.00009584328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010471787,0.00016214469,0.0002134903,0.000042678505,0.0000932095,0.000045021294,0.00007942359,0.00009228182,0.0000020222628],"category_scores_gemma":[0.0000028940976,0.00016444453,0.000025029423,0.0002080264,0.000018063838,0.00011177863,0.000022399467,0.00006842204,6.5449103e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011323134,0.0000128789,0.0012648779,0.000010183514,0.000023585166,5.7421937e-7,0.000018278279,0.9802625,0.000004768533,0.0012765779,0.0015126772,0.015601781],"study_design_scores_gemma":[0.000694035,0.000046140387,0.000042829564,0.000038521906,0.00002172295,0.000009037487,0.00007928222,0.76928806,0.00006489221,0.0003822385,0.22908889,0.00024436615],"about_ca_topic_score_codex":0.00014899325,"about_ca_topic_score_gemma":0.002424014,"teacher_disagreement_score":0.9956393,"about_ca_system_score_codex":0.00019931166,"about_ca_system_score_gemma":0.000014889699,"threshold_uncertainty_score":0.67058533},"labels":[],"label_agreement":null},{"id":"W84429026","doi":"","title":"A Dual Decomposition Approach to the Sum Power Gaussian Vector Multiple Access Channel Sum Capacity Problem","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematical optimization; Channel (broadcasting); Constraint (computer-aided design); Dual (grammatical number); Channel capacity; Mathematics; Gaussian; Power (physics); Computer science; Algorithm; Telecommunications","score_opus":0.02079454538692409,"score_gpt":0.24151386958289622,"score_spread":0.22071932419597212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W84429026","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":[0.011847343,0.00003597689,0.94983435,0.00009287987,0.0003971013,0.0010547808,0.000020427104,0.0004296318,0.03628751],"genre_scores_gemma":[0.9660922,0.0000025341462,0.03324749,0.0000651127,0.00006533085,0.00023026984,0.000028726532,0.000051622974,0.00021667205],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900216,0.00005495296,0.00023650397,0.00024282701,0.0001346481,0.00032888245],"domain_scores_gemma":[0.9994705,0.00003366676,0.00003407707,0.0002960006,0.000058567824,0.00010722679],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017190744,0.00019583353,0.00016181084,0.00007970026,0.00012337981,0.00009761184,0.0001678058,0.00008578217,0.00003177267],"category_scores_gemma":[0.000035402598,0.00014892142,0.000043811237,0.00033217197,0.000015124695,0.00038553064,0.00002974401,0.0001354091,0.000048657268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006728366,0.00006023039,0.00017763932,0.00005770195,0.000027938599,6.9562327e-7,0.0009767684,0.9918518,0.002281088,0.0027125236,0.0018052767,0.000041603344],"study_design_scores_gemma":[0.002070954,0.00013286213,0.003374953,0.00013071574,0.000050397728,0.000131927,0.0013817996,0.9198866,0.057853147,0.0005049694,0.01282822,0.0016534594],"about_ca_topic_score_codex":0.000052172,"about_ca_topic_score_gemma":0.0001358019,"teacher_disagreement_score":0.9542449,"about_ca_system_score_codex":0.0001262506,"about_ca_system_score_gemma":0.000010360743,"threshold_uncertainty_score":0.6072839},"labels":[],"label_agreement":null},{"id":"W88656744","doi":"10.1007/1-4020-4437-2_13","title":"Throughput of Heterogeneous Multi-Cell Multi-User MIMO-OFDM Systems","year":2006,"lang":"en","type":"book-chapter","venue":"","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":"Throughput; Computer science; MIMO; Orthogonal frequency-division multiplexing; MIMO-OFDM; Computer network; Telecommunications; Wireless; Channel (broadcasting)","score_opus":0.01710984888184493,"score_gpt":0.21536112957920342,"score_spread":0.19825128069735848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W88656744","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008352784,0.007350365,0.7812394,0.0000013305921,0.0011639382,0.0009968199,0.0001509645,0.0007089212,0.20837991],"genre_scores_gemma":[0.022950763,0.00043385965,0.042493917,0.000010263458,0.00029859124,0.00005560992,0.0002513884,0.0005731981,0.93293244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978223,0.000014986006,0.0010616148,0.00047674665,0.00025613452,0.00036822204],"domain_scores_gemma":[0.99858654,0.00005004797,0.00031180013,0.00076772616,0.00018989995,0.000093987954],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007577179,0.00070005556,0.00090731814,0.00022417885,0.000039275248,0.000032262997,0.00028408004,0.00073475204,0.000106004394],"category_scores_gemma":[0.000005411389,0.00071261235,0.00024630481,0.000043513886,0.00005999107,0.00013631326,0.00006351592,0.00030092188,0.000251073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003132157,0.00003495272,0.0000039785414,0.0010328161,0.00010766431,0.000023179655,0.000035848792,0.9944886,0.0007389924,0.0014477319,0.0019646692,0.00011841232],"study_design_scores_gemma":[0.0021591312,0.00009321207,0.0000017816225,0.0011300693,0.00023178713,0.000085074294,0.000042282365,0.8189937,0.008303183,0.000051952862,0.16666882,0.002239051],"about_ca_topic_score_codex":0.00014183242,"about_ca_topic_score_gemma":0.00010155592,"teacher_disagreement_score":0.7387455,"about_ca_system_score_codex":0.00022583066,"about_ca_system_score_gemma":0.000022725912,"threshold_uncertainty_score":0.9995325},"labels":[],"label_agreement":null},{"id":"W976238772","doi":"10.1017/cbo9780511841453.020","title":"Multiple antennas: MIMO systems","year":2010,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Spatial multiplexing; MIMO; Beamforming; 3G MIMO; Multiplexing; Multi-user MIMO; Smart antenna; Computer science; Electronic engineering; Wireless; MIMO-OFDM; Antenna diversity; Transmission (telecommunications); Channel capacity; Antenna (radio); Telecommunications; Computer network; Engineering; Directional antenna; Channel (broadcasting)","score_opus":0.012863346473074808,"score_gpt":0.17230072075977623,"score_spread":0.15943737428670143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W976238772","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000027955288,0.00039972918,0.068295434,0.0000011035096,0.0015849476,0.0006828988,0.000394633,0.00091559225,0.9276977],"genre_scores_gemma":[0.0051630726,0.00015626418,0.0007445027,0.000005988428,0.00029054566,0.000002416669,0.00012210851,0.00017592024,0.9933392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988054,0.00001596952,0.000266296,0.00040936732,0.00018074155,0.00032224815],"domain_scores_gemma":[0.99874085,0.00006292463,0.00015310387,0.00068743434,0.00017574664,0.00017994482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000059863698,0.00047802454,0.0005019208,0.00022407706,0.0001292524,0.000050213752,0.0004140518,0.0007227304,0.00000264045],"category_scores_gemma":[0.000010999455,0.00061079685,0.00015802971,0.000009210295,0.000115093564,0.00014358871,0.00013015994,0.00073176273,0.000042807496],"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":[0.0001106635,0.00001836397,0.0000125728375,0.0022092485,0.00084209774,0.0009734605,0.00020125971,0.040298436,0.006620363,0.9037451,0.043751065,0.0012173408],"study_design_scores_gemma":[0.0005277728,0.000015137569,0.0000015834025,0.0003411577,0.0001113665,0.000034863264,0.000032649128,0.021056231,0.00046066853,0.000001143466,0.97674936,0.0006680418],"about_ca_topic_score_codex":0.00007854422,"about_ca_topic_score_gemma":0.000007122333,"teacher_disagreement_score":0.9329983,"about_ca_system_score_codex":0.00025264348,"about_ca_system_score_gemma":0.000031695792,"threshold_uncertainty_score":0.9996343},"labels":[],"label_agreement":null}]}